# Innovation of Artificial Intelligence and Digital Media in Environmental Art Design

Authors: Xiaoying Sui
Journal: Wireless Communications and Mobile Computing
 (2022)

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## Abstract

With the current upsurge of innovation and entrepreneurship in China, this paper objectively analyzes the importance of designers’ professional quality and scientific awareness in response to the need for the integration and development of innovative skills and artistic spirit in environmental design. This paper emphasizes that the level of intelligent operation of science and technology should be improved in design, the rigor of intelligent utilization in creative expression should be improved, and the problem of evaluation criteria of artistic design value should be solved based on professional development. This paper gives the design scheme of intelligent monitoring module based on Lora technology and designs the hardware circuit of the intelligent monitoring module with MSP430F2272 as the core. It includes a microcontroller circuit, a Lora module interface circuit, an input signal detection module, a control output module, and the like. This paper focuses on the content, representation, and implementation of the associated configuration table, and compares four analog input signals with variable thresholds. The sensor detects 800Lux, and the error is 500Lux, which is higher than errmax, so it outputs -10 brightening every time to generate analog input logic. The 4 digital inputs are combined with the analog input logic to generate output control signals by associating operations.


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## Body

## 1. Introduction

With the current upsurge of innovation, technology has gradually penetrated into all aspects of people’s lives, gradually changing the living environment. As a systematic discipline that keeps pace with the times, environmental art design plays an increasingly important role in theoretical guidance and practical planning in the rational planning and beautification design of indoor and outdoor places. According to the technical principle requirements of artificial intelligence design and the concept of sustainable development of environmental design, this paper expounds a new value evaluation system that should adhere to the integration of scientific and technological intelligence and artistic aesthetics, and then puts forward corresponding opinions on the balance and sustainable development of the two.Natural art design is a comprehensive discipline of environmental design and general space design. It includes landscape design, architectural design, park greening, urban sculpture design, commercial land environmental planning, floral design, plumbing, and supporting lighting. The interior of the house includes home improvement and furniture design. With the development of society, indoor and outdoor design and design are becoming more and more popular, and the design features such as efficiency, convenience, and safety brought by intelligence are more and more popular. The development and gradual development of intelligent design have gradually become the bottleneck of the development of environmental art design, and at the same time, intelligence also provides opportunities for the artistic development of design in nature.In addition to bringing the above-mentioned benefits to the development of environmental art design, intelligence also inevitably brings environmental art design to face development challenges. This challenge is mainly reflected in how environmental art design realizes the innovative integration of intelligence. The discipline and industry function of environmental art design is to carry out reasonable artistic planning and layout and beautifying decoration design for indoor and outdoor space. Integration is the artificial integration with artistic design thinking and behavioral capabilities. Intelligence is supported by a variety of high-tech science and technology. If intelligent equipment is used in the process of environmental art design, it will threaten and challenge the realization of the artistic and practical functions pursued by environmental art design. Development trend, environmental art design cannot exist independently of social development, and its development must be integrated into intelligence, and how to realize the innovative integration of intelligence without weakening all the original artistic and practical functions of environmental art design and become environmental art.


## 2. Related Work

In the development of artificial intelligence and environmental design, domestic and foreign experts also have a lot of research. Glauner P believes that a key objective of biosphere reserves (BRs) is to promote environmental education for sustainable development. In this study, environmental art was used as a mechanism to engage the community in establishing environmental protection [1]. Liu R surveys the historical interaction between the fields of artificial intelligence and neuroscience, and highlights current advances in artificial intelligence that are inspired by research on neural computing in humans and other animals [2]. Rongpeng believes that people will be able to use the Internet to buy goods and obtain services from anywhere in the world, and take advantage of the unlimited additional benefits brought about by the widespread use of artificial intelligence inventions [3]. Makridakis S highlighted the opportunities and challenges of leveraging AI to achieve intelligent 5G networks, and demonstrated the effectiveness of AI in managing and coordinating cellular network resources [4]. Hassabis D believes that as an emerging field of industrial applications and an effective solution for fault identification, artificial intelligence (AI) technology has received more and more attention from academia and industry. However, artificial intelligence methods face enormous challenges under different practical operating conditions [5]. Marks M begins with an overview of how NTL is defined and its impact on the economy. NTL covers the fundamental pillars of AI relevant to this field. He then investigates these research efforts through a comprehensive review of the algorithms, features, and datasets used [6]. Pet believes that low power consumption, low transceiver chip cost, and large coverage are the main characteristics of low power wide area network (LPWAN) technology [7]. These methods provide some references for research, but due to the short time and small sample size of the relevant research, this research has not been recognized by the public.


## 3. Intelligent Module Design Based on Lora Technology

### 3.1. Design Basis of Intelligent Monitoring Module

The microcontroller used in this article is the MSP430 series microcontroller, which is a 16-bit mixed-signal processor manufactured by Texas Instruments (TI), with extremely low power consumption. According to the actual needs of the application, MSP430 microcontroller can integrate multiple circuit modules and microprocessors with different functions on one chip, such as digital circuit modules, analog circuit modules, timer modules, and memory modules. It provides a relatively complete “MCU” solution [7].MSP430 has the characteristics of low power consumption, fast operation speed, abundant on-chip resources, and short development cycle. The microcontroller used in the article is MSP430F2272, which has a total of 38 pins. The following will briefly introduce the on-chip peripherals related to the design of the intelligent monitoring module:(1)
ADC: The microcontroller MSP430F2272 selected in this article has a 10-bit ADC module with up to 12 external sampling channels. The sampling channels are A0~A7, A12~A15, respectively. MSP430F2272 can start the ADC conversion process by setting the timer Timer_A, or it can be set to perform active sampling and conversion, divide the clock frequency according to the requirements, then configure the ADC module, and finally start the ADC for analog-to-digital conversion. After we start the conversion, the ADC module saves the conversion result in the ADC10MEM register, and the user can obtain the sampled value of the analog signal by reading this register. In this article, the ADC module is enabled to complete the sampling of the external analog signals of the A0~A4 channels, and the detection and processing of the external environment analog quantity are realized [6].(2)
TIMER: MSP430F2272 has multiple timer modules, which are Timer_A and Timer_B, respectively. The following describes the timer Timer_A used in the article as an example. Timer_A timer has capture comparison, PWM output function. Timer_A has multiple clock sources, namely, ACLK, SMCLK, TACLK, and INCLK, and there are multiple working modes. When using the Timer_A module, the user first determines the clock source of the timer module by configuring the corresponding registers and sets the frequency division coefficient according to the requirements, and then selects the working mode of the Timer_A module by configuring the corresponding registers. In this paper, the timer function of Timer_A module is used, and the on-site detection quantity and output status such as the environment are regularly uploaded to the client for display [8].


### 3.2. Microcontroller Circuit Design

The microcontroller is mainly used to coordinate the normal work between the peripheral modules. It includes the collection and processing of the input signal of the intelligent monitoring module, the control of the output signal according to the input and output control relationship, and the realization of communication with the Lora module. The microcontroller is connected to a 16 MHz off-chip passive crystal CY1, and its starting capacitors C6 and C7 are both 10 pF in size. J4 is the JTAG interface, which is used for program download and real-time simulation debugging of the microcontroller. The microcontroller of the intelligent monitoring module is, respectively, connected with the analog signal processing module, the digital signal isolation module, the Lora module, and the output control module. AINO1~AINO4 are connected to the analog signal processing module to collect the analog quantity of environmental parameters. DINO1~DINO4 are connected to the digital signal isolation module for collecting the digital quantity of environmental parameters. DOUT1~DOUT4 are connected to the output control module and are used to generate digital signals to control the action of the equipment. MODE, BUSY, nRST, WAKE, TX, RX, and STAT are connected to the Lora module to realize the communication between the intelligent monitoring module and the base station IWG200, as shown in Figure1 [9].Figure 1
Microcontroller system schematic.


### 3.3. Lora Module Interface Circuit Design

The system requires wireless communication between the intelligent monitoring module and the base station IWG200. The communication is designed based on Lora technology, and the Lora module uses a LoRaWAN terminal module LSD4WN-2N717M91. The schematic diagram of the circuit connection between the Lora module and the microcontroller is shown in Figure2 [10].Figure 2
Schematic diagram of circuit connection between Lora module and microcontroller.Module transparent transmission sequence: Figure3 shows the flow of data interaction between the module and the microcontroller after the Lora module has successfully joined the network. When the user uses the Lora module for data communication, the software design should be carried out in strict accordance with the sequence.Figure 3
Working sequence of module transparent transmission mode.As can be seen from Figure4, the microcontroller of the intelligent monitoring module will first read the associated configuration table saved by the intelligent monitoring module after completing the initial preparation stage, and work according to the associated configuration table. In this process, if a Lora command is received, the update association configuration table and port test command processing are executed according to the specific command. If the time to upload is reached, the collected analog signals, digital signals, and generated output signals are sent to the base station IWG200 through the Lora module, and then sent to the client for client analysis and display [11].Figure 4
Software flow chart of intelligent monitoring module.


### 3.4. Software Process of Intelligent Monitoring Module

The software flow of the intelligent monitoring module is the core part of the whole module software design. The software design of each sub-module integrates the required functional subroutines. The software design process of the intelligent monitoring module is formed by combining the functional subroutines of these sub-modules in a certain logical order. The software design of this intelligent monitoring module is mainly divided into two stages: initialization preparation stage and working stage.As can be seen from Figure4, the microcontroller of the intelligent monitoring module will first read the associated configuration table saved by the intelligent monitoring module after completing the initial preparation stage. And it works according to this association configuration table. 4 analog quantities and 4 digital quantities are read through the analog/digital input module, which calculates and generates each output signal according to the associated configuration table. Figure 5 shows the flow of data interaction between the module and the microcontroller after the Lora module has successfully joined the network. When the user uses the Lora module for data communication, the software design should be carried out in strict accordance with the sequence [12].Figure 5
Update association configuration table flowchart.For example, if the associated configuration table is found in SegmentB, the new associated configuration table is written to SegmentA. The flow chart of the procedure for updating the association configuration table is shown in Figure5. When it is used for the first time, there will be a situation that the associated configuration table cannot be found in Segment D, which means that the user has not set the associated configuration table, and the new associated configuration table will be written into Segment D [13].For the dimming algorithm, one thing to note here is that the sensor cannot be too sensitive to changes in the system. Generally speaking, the light needs to be kept on as long as possible, and it should be slowed down as much as possible when it dims. Similarly, if it changes from dark to bright when starting up, the process also needs to be smooth and slow, so that the eyes can gradually adapt to the process [14]. The flow chart of sending messages between each module is shown in Table 1:Table 1
Standard illuminance values of different types of planes in the exhibition hall.
CategoryReference planeIlluminance standard value (lux)Exhibits that are particularly sensitive to light: textiles, embroidery, paper items, paintings, pottery (stone) utensils, dyed leather, taxidermy, etc.Exhibit surface50Light-sensitive exhibits: ivory products, egg white paintings, corner products, oil paintings, unstained leather, bone products, bamboo and wood products, lacquerware, etc.Exhibit surface150Exhibits that are not sensitive to light: metal products, stone utensils, gemstones, ceramics, rock and mineral specimens, glass products, enamel products, enamel ware, etc.Exhibit surface300General showroomCorridor ground150High-end showroomCorridor ground100Here we choose the preset illuminance as 300Lux as the default value of the system.The illuminance sensor detects the illuminance value of its monitoring point. The value here is not an equal relationship with the standard value, but an interval setting. According to the preset value, the illuminance sensor is set with a dimming upper limit and a dimming lower limit, and when the detected illuminance value is higher than the upper limit, after calculation, an instruction to reduce the luminous intensity of the LED is output to the outside. When the detected light intensity value is less than the lower limit, the PID algorithm calculates and outputs the control signal to increase the light intensity of the LED light [15]. Its calculation formula is as follows:
(1)Uk=KPerrk+1KI∫errkdk+KDderrkdk.In the fuzzy composition rule, there are two very important steps: one is to find the relationR of the fuzzy implication A→B (if A then B), and the other is the composition operation of the fuzzy relation. Here we introduce the more commonly used definition methods of Zadeh and Mamdani fuzzy relations.Defines the method of Zadeh:(2)R=A×B∪A¯×E.In the formula,E is the universal matrix. The membership function is:
(3)μRx,y=μAx∧μBy.Get the fuzzy relation matrix:(4)μA⟶Bx,y=μA⟶Bx1,y1μA⟶Bx1,y2⋯μA⟶Bx1,ynμA⟶Bx2,y1μA⟶Bx2,y2⋯μA⟶Bx2,yn⋯⋯⋯⋯μA⟶Bxm,y1μA⟶Bxm,y2⋯μA⟶Bxm,yn,(5)μA⟶Bxi,yj=μAxi∧μByji=1,2,⋯,m,j=1,2,⋯,n.Composite operation:(6)B′=A′∘A⟶B=A′∘R.Namely,(7)μB′y=supx∈XμB′x∧μAx∧μBy,(8)∨x∈XμA′x∧μAx∧μBy,(9)α∧μBy,(10)α=∨x∈XμA′x∧μAx.The height of the intersection of fuzzy setA′ and A can be expressed as:
(11)αHeightA′∩A.It can be seen as the degree of adaptation ofA′ to A, that is, the degree of membership.According to the Madani method, the conclusionB′ can be obtained by performing a fuzzy “AND” with the fuzzy set B with this adaptation degree a, that is, taking a small min operation. In the graph, a is used as a benchmark to cut, and the inference result can be obtained. The Madani method of reasoning is often referred to as the shaving method. This inference method can be represented by Figure 6 to represent its inference relationship [16].Figure 6
Madani reasoning.Its logical expression is:(12)A⟶B∨A¯⟶C.The subset of fuzzy relationR can be expressed as:
(13)R=A⟶B∪A¯⟶C.It can be obtained by the following formula:(14)μRx,y=μA⟶Bx,y∨μA⟶Cx,y,(15)μAx∧μBy∨1−μAx∧μCy.Namely,(16)B′=A′∘R=A′∘A×B∪A¯×C,(17)B′=A′∘A⟶B∪A¯⟶C.Its membership function is:(18)μC′z=∨xμA′x∧μAx∧μCz∩∨yμBy∧μBy∧μCz,(19)αA∧μCz∩αB∧μCz,(20)αA∧αB∧μCZ.


## 3.1. Design Basis of Intelligent Monitoring Module

The microcontroller used in this article is the MSP430 series microcontroller, which is a 16-bit mixed-signal processor manufactured by Texas Instruments (TI), with extremely low power consumption. According to the actual needs of the application, MSP430 microcontroller can integrate multiple circuit modules and microprocessors with different functions on one chip, such as digital circuit modules, analog circuit modules, timer modules, and memory modules. It provides a relatively complete “MCU” solution [7].MSP430 has the characteristics of low power consumption, fast operation speed, abundant on-chip resources, and short development cycle. The microcontroller used in the article is MSP430F2272, which has a total of 38 pins. The following will briefly introduce the on-chip peripherals related to the design of the intelligent monitoring module:(1)
ADC: The microcontroller MSP430F2272 selected in this article has a 10-bit ADC module with up to 12 external sampling channels. The sampling channels are A0~A7, A12~A15, respectively. MSP430F2272 can start the ADC conversion process by setting the timer Timer_A, or it can be set to perform active sampling and conversion, divide the clock frequency according to the requirements, then configure the ADC module, and finally start the ADC for analog-to-digital conversion. After we start the conversion, the ADC module saves the conversion result in the ADC10MEM register, and the user can obtain the sampled value of the analog signal by reading this register. In this article, the ADC module is enabled to complete the sampling of the external analog signals of the A0~A4 channels, and the detection and processing of the external environment analog quantity are realized [6].(2)
TIMER: MSP430F2272 has multiple timer modules, which are Timer_A and Timer_B, respectively. The following describes the timer Timer_A used in the article as an example. Timer_A timer has capture comparison, PWM output function. Timer_A has multiple clock sources, namely, ACLK, SMCLK, TACLK, and INCLK, and there are multiple working modes. When using the Timer_A module, the user first determines the clock source of the timer module by configuring the corresponding registers and sets the frequency division coefficient according to the requirements, and then selects the working mode of the Timer_A module by configuring the corresponding registers. In this paper, the timer function of Timer_A module is used, and the on-site detection quantity and output status such as the environment are regularly uploaded to the client for display [8].


## 3.2. Microcontroller Circuit Design

The microcontroller is mainly used to coordinate the normal work between the peripheral modules. It includes the collection and processing of the input signal of the intelligent monitoring module, the control of the output signal according to the input and output control relationship, and the realization of communication with the Lora module. The microcontroller is connected to a 16 MHz off-chip passive crystal CY1, and its starting capacitors C6 and C7 are both 10 pF in size. J4 is the JTAG interface, which is used for program download and real-time simulation debugging of the microcontroller. The microcontroller of the intelligent monitoring module is, respectively, connected with the analog signal processing module, the digital signal isolation module, the Lora module, and the output control module. AINO1~AINO4 are connected to the analog signal processing module to collect the analog quantity of environmental parameters. DINO1~DINO4 are connected to the digital signal isolation module for collecting the digital quantity of environmental parameters. DOUT1~DOUT4 are connected to the output control module and are used to generate digital signals to control the action of the equipment. MODE, BUSY, nRST, WAKE, TX, RX, and STAT are connected to the Lora module to realize the communication between the intelligent monitoring module and the base station IWG200, as shown in Figure1 [9].Figure 1
Microcontroller system schematic.


## 3.3. Lora Module Interface Circuit Design

The system requires wireless communication between the intelligent monitoring module and the base station IWG200. The communication is designed based on Lora technology, and the Lora module uses a LoRaWAN terminal module LSD4WN-2N717M91. The schematic diagram of the circuit connection between the Lora module and the microcontroller is shown in Figure2 [10].Figure 2
Schematic diagram of circuit connection between Lora module and microcontroller.Module transparent transmission sequence: Figure3 shows the flow of data interaction between the module and the microcontroller after the Lora module has successfully joined the network. When the user uses the Lora module for data communication, the software design should be carried out in strict accordance with the sequence.Figure 3
Working sequence of module transparent transmission mode.As can be seen from Figure4, the microcontroller of the intelligent monitoring module will first read the associated configuration table saved by the intelligent monitoring module after completing the initial preparation stage, and work according to the associated configuration table. In this process, if a Lora command is received, the update association configuration table and port test command processing are executed according to the specific command. If the time to upload is reached, the collected analog signals, digital signals, and generated output signals are sent to the base station IWG200 through the Lora module, and then sent to the client for client analysis and display [11].Figure 4
Software flow chart of intelligent monitoring module.


## 3.4. Software Process of Intelligent Monitoring Module

The software flow of the intelligent monitoring module is the core part of the whole module software design. The software design of each sub-module integrates the required functional subroutines. The software design process of the intelligent monitoring module is formed by combining the functional subroutines of these sub-modules in a certain logical order. The software design of this intelligent monitoring module is mainly divided into two stages: initialization preparation stage and working stage.As can be seen from Figure4, the microcontroller of the intelligent monitoring module will first read the associated configuration table saved by the intelligent monitoring module after completing the initial preparation stage. And it works according to this association configuration table. 4 analog quantities and 4 digital quantities are read through the analog/digital input module, which calculates and generates each output signal according to the associated configuration table. Figure 5 shows the flow of data interaction between the module and the microcontroller after the Lora module has successfully joined the network. When the user uses the Lora module for data communication, the software design should be carried out in strict accordance with the sequence [12].Figure 5
Update association configuration table flowchart.For example, if the associated configuration table is found in SegmentB, the new associated configuration table is written to SegmentA. The flow chart of the procedure for updating the association configuration table is shown in Figure5. When it is used for the first time, there will be a situation that the associated configuration table cannot be found in Segment D, which means that the user has not set the associated configuration table, and the new associated configuration table will be written into Segment D [13].For the dimming algorithm, one thing to note here is that the sensor cannot be too sensitive to changes in the system. Generally speaking, the light needs to be kept on as long as possible, and it should be slowed down as much as possible when it dims. Similarly, if it changes from dark to bright when starting up, the process also needs to be smooth and slow, so that the eyes can gradually adapt to the process [14]. The flow chart of sending messages between each module is shown in Table 1:Table 1
Standard illuminance values of different types of planes in the exhibition hall.
CategoryReference planeIlluminance standard value (lux)Exhibits that are particularly sensitive to light: textiles, embroidery, paper items, paintings, pottery (stone) utensils, dyed leather, taxidermy, etc.Exhibit surface50Light-sensitive exhibits: ivory products, egg white paintings, corner products, oil paintings, unstained leather, bone products, bamboo and wood products, lacquerware, etc.Exhibit surface150Exhibits that are not sensitive to light: metal products, stone utensils, gemstones, ceramics, rock and mineral specimens, glass products, enamel products, enamel ware, etc.Exhibit surface300General showroomCorridor ground150High-end showroomCorridor ground100Here we choose the preset illuminance as 300Lux as the default value of the system.The illuminance sensor detects the illuminance value of its monitoring point. The value here is not an equal relationship with the standard value, but an interval setting. According to the preset value, the illuminance sensor is set with a dimming upper limit and a dimming lower limit, and when the detected illuminance value is higher than the upper limit, after calculation, an instruction to reduce the luminous intensity of the LED is output to the outside. When the detected light intensity value is less than the lower limit, the PID algorithm calculates and outputs the control signal to increase the light intensity of the LED light [15]. Its calculation formula is as follows:
(1)Uk=KPerrk+1KI∫errkdk+KDderrkdk.In the fuzzy composition rule, there are two very important steps: one is to find the relationR of the fuzzy implication A→B (if A then B), and the other is the composition operation of the fuzzy relation. Here we introduce the more commonly used definition methods of Zadeh and Mamdani fuzzy relations.Defines the method of Zadeh:(2)R=A×B∪A¯×E.In the formula,E is the universal matrix. The membership function is:
(3)μRx,y=μAx∧μBy.Get the fuzzy relation matrix:(4)μA⟶Bx,y=μA⟶Bx1,y1μA⟶Bx1,y2⋯μA⟶Bx1,ynμA⟶Bx2,y1μA⟶Bx2,y2⋯μA⟶Bx2,yn⋯⋯⋯⋯μA⟶Bxm,y1μA⟶Bxm,y2⋯μA⟶Bxm,yn,(5)μA⟶Bxi,yj=μAxi∧μByji=1,2,⋯,m,j=1,2,⋯,n.Composite operation:(6)B′=A′∘A⟶B=A′∘R.Namely,(7)μB′y=supx∈XμB′x∧μAx∧μBy,(8)∨x∈XμA′x∧μAx∧μBy,(9)α∧μBy,(10)α=∨x∈XμA′x∧μAx.The height of the intersection of fuzzy setA′ and A can be expressed as:
(11)αHeightA′∩A.It can be seen as the degree of adaptation ofA′ to A, that is, the degree of membership.According to the Madani method, the conclusionB′ can be obtained by performing a fuzzy “AND” with the fuzzy set B with this adaptation degree a, that is, taking a small min operation. In the graph, a is used as a benchmark to cut, and the inference result can be obtained. The Madani method of reasoning is often referred to as the shaving method. This inference method can be represented by Figure 6 to represent its inference relationship [16].Figure 6
Madani reasoning.Its logical expression is:(12)A⟶B∨A¯⟶C.The subset of fuzzy relationR can be expressed as:
(13)R=A⟶B∪A¯⟶C.It can be obtained by the following formula:(14)μRx,y=μA⟶Bx,y∨μA⟶Cx,y,(15)μAx∧μBy∨1−μAx∧μCy.Namely,(16)B′=A′∘R=A′∘A×B∪A¯×C,(17)B′=A′∘A⟶B∪A¯⟶C.Its membership function is:(18)μC′z=∨xμA′x∧μAx∧μCz∩∨yμBy∧μBy∧μCz,(19)αA∧μCz∩αB∧μCz,(20)αA∧αB∧μCZ.


## 4. Innovation of Environmental Art in the Age of Intelligence

### 4.1. The Application of Artificial Intelligence in Environmental Design

Since the concept of “smart home” entered China relatively late, its maturity will naturally be slightly lower than that of Japan and European and American countries that started earlier [17, 18]. This has also led to a temporary lack of mature cases of applying “smart home” in buildings in China. The smart home experience center project of XM Company can be regarded as a case with a high degree of integration between the existing “smart home” and residence in China [19].On the one hand, by adding XM’s intelligent products, the model room of this real estate project has become more colorful, and the integration of new elements distinguishes it from many other traditional model rooms. While bringing more novel experience to customers, it can also make itself stand out and attract more consumers’ attention. On the other hand, for XM Company, the model room of this kind of real estate project is an excellent platform for it to display its products. Through this platform, more people can come into contact with and learn about its “smart home” products, which is also a very beneficial promotion opportunity for itself [20].But about the smart home experience center project, while it is worth promoting, it still has some deficiencies. One of the biggest problems is the brand itself, especially the limitations of its products. XM’s product is integrated with its control system, so many other brands of products on the market cannot be integrated into this system. However, its own products are still unable to cover all aspects of life for the time being, and the occurrence of this problem has greatly restricted the experience of this experience center. Summarizing this project, it can be seen that, as far as China is concerned, the integration of “smart home” into residential buildings is still insufficient. In response to this problem, the article believes that in the future, it is necessary to establish a mechanism that is more inclusive and more interconnected, so as to eliminate the barriers between enterprises and strengthen cooperation. While improving the “smart home” market, it will eventually enable the “smart home” to better serve human beings. Figure7 shows the sales volume and proportion of XM in recent years [21].Figure 7
XM’s sales volume and proportion in recent years.


### 4.2. System Test

For the test of the venue selected in the exhibition hall, a simulation experiment is carried out by adding LED light strips around the exhibits. In the exhibition object area, an illuminance sensor is set, and the sensor module is set as a network coordinator at the same time to simplify the configuration of the network module, and the dimming drive module of the exhibition object is controlled online to illuminate it with constant illuminance. The experiment time was selected at 2:00 pm, and the preset illuminance of the experimental area was set to 300Lux. In the expert PID algorithm, max =150, mid =50, min = 15, and the illuminance change of the target area during the experiment is shown in Figure8:Figure 8
Experimental data.Through the experimental data, it can be found that after about 25S, the system can make the target area reach the preset illuminance. If it wants to speed up the system to reach the preset target as soon as possible, it needs to change the PID parameters and speed up the frequency of the system to detect the illuminance for calculation. However, the system focuses on stability and does not have strict requirements for rapidly changing illuminance.


### 4.3. Field Test

In order to verify the effect of the intelligent lighting system in the home room, the necessary feasibility experiments were carried out. First, download the software program to CC2530 and complete the connection of the hardware system. Since the experimental lamps are connected in series, the constant current dimming drive is used for dimming, and the specific experimental site is selected in the office [22].The experimental time was selected at 12:00 noon on April 5, at noon, and the preset value of constant illuminance was set to 300Lux. Since the office has no windows, only the door can transmit light. It is detected that when the light is not turned on, the illuminance of the office is 132Lux, and the light is immediately turned on with a PWM duty cycle of 20% to compensate for the luminosity when it is turned on. The PWM duty cycle of the control signal is 0, which means the light is off, and 100%, which means full power operation, and the illuminance sensor returns to the indoor illuminance. The error value is calculated according to the preset. In its expert PID algorithm, max =150, mid =50, min = 15, and the system start-up operation record is shown in Figure9:Figure 9
Experimental detection data per minute.It can be found that the illuminance value can be adjusted to a constant output within one minute of starting the system. Since the luminosity rises smoothly, and the human eye automatically adjusts the pupil size to cope with changes in illuminance, the system will suddenly brighten to a lower brightness after it is turned on. After that, the brightness is steadily increased, and the human eye does not perceive the flickering change of the illuminance. After that, a constant illuminance sampling record is performed every two hours, and the recorded data are shown in Table2:Table 2
Recording experimental data every two hours.
TimePWM output duty cycleIlluminance when there is no light source indoors (lux)Indoor illuminance (lux) after LED light compensation12:3043.6%134298.814:3040.3%148299.116:3045.7%117299.718:3053.7%75301.720:3078.4%2299.7It can be found in the experiment that the stability of the system in indoor environment is very good. Now move the system to the outside for observation, the outdoor luminosity value is about 1300Lux during the day, and the light detection data is shown in Figure10:Figure 10
Outdoor experimental data.It can be found that after adjustment, the system detects that the illuminance is higher than the set value and continuously reduces the illuminance value, finally making the system PWM output to 0, turning off the lights, and saving losses.It can be found that the system can make good use of the external light in the case of the intervention of the external light source to achieve a constant illuminance in the area. But sometimes because the power of the LED lamps is not enough, or the illumination angle is not facing the target area, what will happen. The system is tested in the dark room, and the preset value of the illumination is set to 300Lux, and the test data is shown in Table3:Table 3
Darkroom experimental data.
Time(s)PWM output duty cycleBefore adjusting the illuminance value (lux)Illuminance value after adjustment (lux)120%0142041%0564063%0886084%011580100%0140After about 80 seconds, the LED lamps reach full power operation, but the illuminance still does not reach the preset 300Lux. Since the lamps can no longer increase the brightness, they will maintain full power operation.In the indoor scene in the system test, two sensors are used as the illuminance acquisition device, and it is found that if the difference in the environment where the two illuminance sensors are located is too large, the system deviation will be too large, resulting in a large deviation in the lighting adjustment. For example, the experimental scene is set in a windowed room at 3 pm. If a sensor is placed inside the room, due to the transmission of natural light, the illumination is 67Lux when the light is not turned on. Another sensor is placed beside the window, the illuminance value detected by the sensor is 800Lux, and its dimming result is to turn off the light directly. The indoor illumination is at 67Lux, far lower than the preset 300Lux illumination. After analysis, it is because when the expert PID algorithm is used, the PID coefficients are different under different error values. Because the luminosity detected by different sensors is different, the error is different. Under the calculation of different coefficients, the adjustment UP value is very different, which leads to the imbalance of the system. Taking the example as an example, since the window sensor detects 800Lux, the error is 500Lux, which is higher than errmax, so it outputs -10 up brightening every time. However, because the error of the indoor sensor is 133Lux, which is lower than errmax, the up value is less than -10, and the system will issue a command to reduce the PWM every time, which will eventually turn off the light. There are two ways to solve the problems. First, place the photometric sensor reasonably and try not to place the sensor in a place where the light cannot be illuminated. Or the illuminance is far away from the relative light intensity of the indoor personnel activity range, so as to avoid interference. If the error (preset illuminance - actual measured illuminance) is positive and exceeds the maximum upper limit, it means that it is artificial occlusion or the illuminance sensor is damaged. At this time, a smaller PID parameter is used to prevent it from interfering with the system judgment, and an alarm is sent to the coordinator module to remind personnel to check. If the error is negative and the absolute value exceeds the upper limit, it means that it is under the illumination of a strong light source, and the PID operation is normal, and an alarm command is sent to the coordinator module. Table 4 is an example of the association configuration table.Table 4
Example association configuration table.
Input terminalA1A2A3A4D1D2D3D4Connection relationOutput terminalValidity10001000TandemO1Threshold100000xxxxAssociative logic00000000


## 4.1. The Application of Artificial Intelligence in Environmental Design

Since the concept of “smart home” entered China relatively late, its maturity will naturally be slightly lower than that of Japan and European and American countries that started earlier [17, 18]. This has also led to a temporary lack of mature cases of applying “smart home” in buildings in China. The smart home experience center project of XM Company can be regarded as a case with a high degree of integration between the existing “smart home” and residence in China [19].On the one hand, by adding XM’s intelligent products, the model room of this real estate project has become more colorful, and the integration of new elements distinguishes it from many other traditional model rooms. While bringing more novel experience to customers, it can also make itself stand out and attract more consumers’ attention. On the other hand, for XM Company, the model room of this kind of real estate project is an excellent platform for it to display its products. Through this platform, more people can come into contact with and learn about its “smart home” products, which is also a very beneficial promotion opportunity for itself [20].But about the smart home experience center project, while it is worth promoting, it still has some deficiencies. One of the biggest problems is the brand itself, especially the limitations of its products. XM’s product is integrated with its control system, so many other brands of products on the market cannot be integrated into this system. However, its own products are still unable to cover all aspects of life for the time being, and the occurrence of this problem has greatly restricted the experience of this experience center. Summarizing this project, it can be seen that, as far as China is concerned, the integration of “smart home” into residential buildings is still insufficient. In response to this problem, the article believes that in the future, it is necessary to establish a mechanism that is more inclusive and more interconnected, so as to eliminate the barriers between enterprises and strengthen cooperation. While improving the “smart home” market, it will eventually enable the “smart home” to better serve human beings. Figure7 shows the sales volume and proportion of XM in recent years [21].Figure 7
XM’s sales volume and proportion in recent years.


## 4.2. System Test

For the test of the venue selected in the exhibition hall, a simulation experiment is carried out by adding LED light strips around the exhibits. In the exhibition object area, an illuminance sensor is set, and the sensor module is set as a network coordinator at the same time to simplify the configuration of the network module, and the dimming drive module of the exhibition object is controlled online to illuminate it with constant illuminance. The experiment time was selected at 2:00 pm, and the preset illuminance of the experimental area was set to 300Lux. In the expert PID algorithm, max =150, mid =50, min = 15, and the illuminance change of the target area during the experiment is shown in Figure8:Figure 8
Experimental data.Through the experimental data, it can be found that after about 25S, the system can make the target area reach the preset illuminance. If it wants to speed up the system to reach the preset target as soon as possible, it needs to change the PID parameters and speed up the frequency of the system to detect the illuminance for calculation. However, the system focuses on stability and does not have strict requirements for rapidly changing illuminance.


## 4.3. Field Test

In order to verify the effect of the intelligent lighting system in the home room, the necessary feasibility experiments were carried out. First, download the software program to CC2530 and complete the connection of the hardware system. Since the experimental lamps are connected in series, the constant current dimming drive is used for dimming, and the specific experimental site is selected in the office [22].The experimental time was selected at 12:00 noon on April 5, at noon, and the preset value of constant illuminance was set to 300Lux. Since the office has no windows, only the door can transmit light. It is detected that when the light is not turned on, the illuminance of the office is 132Lux, and the light is immediately turned on with a PWM duty cycle of 20% to compensate for the luminosity when it is turned on. The PWM duty cycle of the control signal is 0, which means the light is off, and 100%, which means full power operation, and the illuminance sensor returns to the indoor illuminance. The error value is calculated according to the preset. In its expert PID algorithm, max =150, mid =50, min = 15, and the system start-up operation record is shown in Figure9:Figure 9
Experimental detection data per minute.It can be found that the illuminance value can be adjusted to a constant output within one minute of starting the system. Since the luminosity rises smoothly, and the human eye automatically adjusts the pupil size to cope with changes in illuminance, the system will suddenly brighten to a lower brightness after it is turned on. After that, the brightness is steadily increased, and the human eye does not perceive the flickering change of the illuminance. After that, a constant illuminance sampling record is performed every two hours, and the recorded data are shown in Table2:Table 2
Recording experimental data every two hours.
TimePWM output duty cycleIlluminance when there is no light source indoors (lux)Indoor illuminance (lux) after LED light compensation12:3043.6%134298.814:3040.3%148299.116:3045.7%117299.718:3053.7%75301.720:3078.4%2299.7It can be found in the experiment that the stability of the system in indoor environment is very good. Now move the system to the outside for observation, the outdoor luminosity value is about 1300Lux during the day, and the light detection data is shown in Figure10:Figure 10
Outdoor experimental data.It can be found that after adjustment, the system detects that the illuminance is higher than the set value and continuously reduces the illuminance value, finally making the system PWM output to 0, turning off the lights, and saving losses.It can be found that the system can make good use of the external light in the case of the intervention of the external light source to achieve a constant illuminance in the area. But sometimes because the power of the LED lamps is not enough, or the illumination angle is not facing the target area, what will happen. The system is tested in the dark room, and the preset value of the illumination is set to 300Lux, and the test data is shown in Table3:Table 3
Darkroom experimental data.
Time(s)PWM output duty cycleBefore adjusting the illuminance value (lux)Illuminance value after adjustment (lux)120%0142041%0564063%0886084%011580100%0140After about 80 seconds, the LED lamps reach full power operation, but the illuminance still does not reach the preset 300Lux. Since the lamps can no longer increase the brightness, they will maintain full power operation.In the indoor scene in the system test, two sensors are used as the illuminance acquisition device, and it is found that if the difference in the environment where the two illuminance sensors are located is too large, the system deviation will be too large, resulting in a large deviation in the lighting adjustment. For example, the experimental scene is set in a windowed room at 3 pm. If a sensor is placed inside the room, due to the transmission of natural light, the illumination is 67Lux when the light is not turned on. Another sensor is placed beside the window, the illuminance value detected by the sensor is 800Lux, and its dimming result is to turn off the light directly. The indoor illumination is at 67Lux, far lower than the preset 300Lux illumination. After analysis, it is because when the expert PID algorithm is used, the PID coefficients are different under different error values. Because the luminosity detected by different sensors is different, the error is different. Under the calculation of different coefficients, the adjustment UP value is very different, which leads to the imbalance of the system. Taking the example as an example, since the window sensor detects 800Lux, the error is 500Lux, which is higher than errmax, so it outputs -10 up brightening every time. However, because the error of the indoor sensor is 133Lux, which is lower than errmax, the up value is less than -10, and the system will issue a command to reduce the PWM every time, which will eventually turn off the light. There are two ways to solve the problems. First, place the photometric sensor reasonably and try not to place the sensor in a place where the light cannot be illuminated. Or the illuminance is far away from the relative light intensity of the indoor personnel activity range, so as to avoid interference. If the error (preset illuminance - actual measured illuminance) is positive and exceeds the maximum upper limit, it means that it is artificial occlusion or the illuminance sensor is damaged. At this time, a smaller PID parameter is used to prevent it from interfering with the system judgment, and an alarm is sent to the coordinator module to remind personnel to check. If the error is negative and the absolute value exceeds the upper limit, it means that it is under the illumination of a strong light source, and the PID operation is normal, and an alarm command is sent to the coordinator module. Table 4 is an example of the association configuration table.Table 4
Example association configuration table.
Input terminalA1A2A3A4D1D2D3D4Connection relationOutput terminalValidity10001000TandemO1Threshold100000xxxxAssociative logic00000000


## 5. Discussion

The trend of intelligent development is inevitable in the discipline and industry of environmental art design. At present, many aspects of environmental art design have begun to integrate intelligent applications, taking intelligence as a major functional effect pursued by environmental art design. Here, this paper classifies and discusses the intelligent environmental art design schemes or products in the current market, in order to analyze and discuss the development direction of environmental art design under the current intelligent trend. Indoor environment art design involves a wide range of professional categories and is a comprehensive discipline. The design content penetrates into different levels of life and becomes the art and science of lifestyle. The difference in value orientation and aesthetic concept it embodies makes the design audience in society present complex differences. The design scheme that can be put into practice is always adapted to the corresponding environment, which naturally includes the social environment of interpersonal communication. That is to say, designers must master the knowledge of interpersonal communication, be able to integrate complex social factors, and through scientific analysis of the needs of people in the social background, in order to achieve the other side of the service design object. Life is unpretentious, and so should design. When a person sees it, they will like it; when a person touches it, there is a pleasant texture; when a person uses it, it will bring spiritual enjoyment. Design problems involving environmental psychology are mainly attributed to the process of people’s psychological feelings and changes in a specific space. If designers ignore the psychological elements of the human environment and only pay attention to the technical or aesthetic solution elements, the design can only be a formal surface. As a result, the works are difficult to impress people, and works that cannot resonate with the audience’s psychology are actually not good works. Strictly speaking, only by going deep into the level of human environmental psychology can it be finally implemented in this specific space with creative thinking, and it is a complete indoor environmental art design [23].No matter which direction the theoretical research is, its ultimate purpose is to try to have a comprehensive understanding of the direction after theoretical research and to have a relatively detailed and comprehensive understanding of the direction. Summarizing experience and being able to use these experiences in subsequent designs is what environmental art design needs to do. The research direction of the article is about the innovation and development of “smart home” and environmental art design. In a broader sense, it can also be regarded as the integration of science and technology, equipment, and art design. At the same time, since the concept of intelligence has been put forward, it is natural to try to have a vision for the future. Therefore, according to the research content of the article, this article intends to propose and design an imaginary about “future home” [24–26].In the article, the content of artificial intelligence and environmental art design is mainly organized, analyzed, and summarized in detail. These three parts are the evolution process of human settlements, the definition, development, evolution, advantages, and disadvantages of “smart home,” and the relationship between “smart home” and environmental art design. The most important part should be the relationship between “smart home” and environmental art design [27–29]. After all, the final research direction of the article should return to the environmental art design itself. It is important to understand the relationship between the two and to distill elements from them that are suitable for use in future practice. At the end of the article, a brief and concise summary can be made. The purpose of exploring the living environment is to elicit the root cause of the “smart home” in the following paragraphs. The change of human’s demand for the living environment drives the development of the living environment, and the evolution of the living environment also continuously promotes the generation of new things, and “smart home” comes from this. By understanding the past and present of “smart home,” it is not difficult to find that although the current “smart home” is far from mature, there are still many problems. However, with the development of technology and the increasing demand of human beings for it, it does not seem that “smart home” will enter more families. The technological product of “smart home” is not unrelated to art. How to combine the two skillfully is a problem that designers need to think about in the future. In order to find the answer to this question, we first need to understand “smart home,” and then we can better apply it to design [30, 31].


## 6. Conclusion

Humans cannot know what will happen in the future, but this does not affect human exploration and prospect of the future. In other words, this is actually the pursuit and expectation of human beings for a better life. But with the development of various technologies, “smart home” will go faster and further. Therefore, future-oriented designers should understand him naturally and then integrate it into the actual design. So that “smart home” can not only bring convenience to the occupants but also satisfy the occupants’ pursuit of “beauty.” Ultimately, combining technology and art into one, improving the human living environment from both physical and psychological aspects. Today’s environmental design is based on the fusion of intelligent technology and artistic aesthetics. The engineering works created must not only meet the functional requirements but also achieve artistic aesthetics. Both art and technology must meet practical needs, and the two are an inseparable whole. Art creation requires certain technical means as the cornerstone, and the creative thinking and artistic emotion are expressed in the support of technology. Technology is the skeletal system of the living body, supporting the functions and physical characteristics of reality, and its progress and update provide more possibilities and diversity for artistic expression. The integration of art and technology is conducive to the development of design potential and the healthy development of the industry.



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*Source: 4332439-2022-05-25.xml*