Patent Description:
The present invention relates to a technical field of rigging application, and in particular to a data processing method and apparatus for the addition of a load applying body, and an electronic device.

At present, a rigging carrying an object has non-linear stress-strain and presents a large deformation, and a contact area between the deformed rigging and the connected object is changed to some extent, so it is improper to simply apply a load or constraint to a surface area or node inside the rigging when the load or constraint is applied, and it is better to add a load applying body during a modeling process.

However, the rigging cannot bear the stress caused by the existing addition manner for adding the load applying body to the rigging, and it is easy to generate an abnormal deformation of the rigging.

<NPL>, discloses an automated mathematical-based design framework for the selection of rigging configuration.

<NPL>, discloses a methodology that combines crane selection, optimum lift sequencing, and project global and individual lift visualizations in a single-sequenced algorithm.

Aiming at disadvantages in the conventional art, a data processing method and apparatus for the addition of a load applying body, and an electronic device are provided by the present invention, to alleviate a technical problem of an abnormal deformation of a rigging due to the rigging being unable to bear stress caused by an existing addition of the load applying body to the rigging.

To achieve the above technical objective, the present invention provides the following solution.

In a first aspect, an embodiment of the present invention provides a data processing method for addition of a load applying body, applied to a computer device. The computer device is connected with a three-dimensional laser scanning device. The method includes:.

In an embodiment, the method further includes:
while laser rays emitted by the three-dimensional laser scanning device aim at and move along the predefined mark points, controlling the three-dimensional laser scanning device to detect temperature of the model entity at the predefined mark points, to obtain temperature change data of the rigging model entity.

In an embodiment, the computer device is further connected with an ultrasonic device. Material of the rigging model entity is metal material. The device further includes:.

In an embodiment, the method further includes:.

In an embodiment, the cooling modes include a first cooling mode in a first process in which a rigging in the first rigging model data drives the load applying body to move upwards, and a second cooling mode in a second process in which the rigging and the load applying body are not moving.

In an embodiment, the method further includes:
analyzing stress data of the first rigging model data based on the temperature change data and the deformation data corresponding to the predefined mark points.

In an embodiment, adjusting the arrangement position of the added load applying body, based on the arrangement accuracy and data of the load applying body, to obtain the adjusted second rigging model data includes:
adjusting the arrangement position of the added load applying body, based on the arrangement accuracy, the data of the load applying body and the stress data, to obtain the adjusted second rigging model data.

In a second aspect, a data processing apparatus for addition of a load applying body, applied to a computer device is provided. The computer device is connected with a three-dimensional laser scanning device. The apparatus includes:.

In a third aspect, an embodiment of the present invention also provides an electronic device. The electronic device includes a memory and a processor. A computer program which is run on processor is stored in the memory. The computer program when executed by the processor causes the processor to carry out the method in the first aspect.

The embodiment of the present invention has the following beneficial effects.

The embodiment of the present invention provides the data processing method and apparatus for the addition of the load applying body, and the electronic device. The method includes: acquiring first rigging model data to which a load applying body has been added; wherein the first rigging model data is model data generated by adding the load applying body using three-dimensional modeling software; controlling a three-dimensional laser scanning device to aim at predefined mark points arranged on a surface of a rigging model entity, and to move along with the predefined mark points; wherein the rigging model entity is a model entity corresponding to the first rigging model data; acquiring movement data of the three-dimensional laser scanning device moving along with the predefined mark points, and determining, according to the movement data, deformation data generated by the rigging model entity when bearing stress; analyzing, according to the deformation data, arrangement accuracy of the load applying body which has been added to the first rigging model data; and adjusting an arrangement position of the added load applying body, based on the arrangement accuracy and data of the load applying body, to obtain the adjusted second rigging model data. In the solution, the three-dimensional laser scanning device aims at the predefined mark points arranged on the surface of the rigging model entity, and moves along with the predefined mark points, to determine the actual deformation situation caused by the rigging model entity bearing the stress according to the movement data, and further, analyze the accuracy of the adding arrangement, such that the adding arrangement of the load applying body may be adjusted more accurately, and the position of the added load applying body is more accurate and more suitable for the stress of the rigging, thereby avoiding the abnormal deformation of the rigging caused by unbearable stress, that is, avoiding the deformation of the rigging due to improper arrangement of the added load applying body, and alleviating the technical problem of the abnormal deformation of the rigging due to the rigging being unable to bear stress caused by the existing addition of the load applying body to the rigging.

In order that the above objects, features and advantages of the present invention will be more obviously understood, the following detailed description is set forth with particularity to the preferred embodiments of the present invention in conjunction with the accompanying drawings.

In order to illustrate the embodiments of the present invention or the technical solutions of the conventional art more clearly, the accompanying drawings used in the embodiments will be briefly described below. Apparently, the accompanying drawing described below show merely some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained according to the accompanying drawings without creative efforts.

The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Apparently, the described embodiments are merely a part of the embodiments of the present invention, rather than all of the embodiments.

The embodiments of the present invention are further described below in conjunction with the accompanying drawings.

In addition, the terms "including", "having", or any other variants thereof mentioned in the embodiments of the present invention, are intended to cover a non-exclusive inclusion. For example, a process, a method, a system, a product, or a device that includes a series of steps or units is not limited to the listed steps or units, rather than optionally further includes an unlisted step or unit, or optionally further includes another inherent step or unit of the process, method, product, or device.

At present, a rigging is abnormally deformed due to the rigging being unable to bear stress caused by an existing addition of the load applying body to the rigging.

Based on this, the embodiments of the present invention provide a data processing method and apparatus for the addition of the load applying body, and an electronic device. The method may alleviate the technical problem of the abnormal deformation of the rigging due to the rigging being unable to bear stress caused by the existing addition of the load applying body to the rigging.

<FIG> is a flow diagram of the data processing method for the addition of the load applying body according to an embodiment of the present invention. Wherein, the method is applied to a computer device. The computer device is connected with a three-dimensional laser scanning device. As shown in <FIG>, the method includes steps S110 - S150.

In step S110, first rigging model data to which a load applying body has been added is acquired.

It should be noted that the rigging carrying an object has non-linear stress-strain, and thus has a large deformation, and the contact area between the deformed rigging and the connected object is changed to some extent, so it is improper to simply apply a load or constraint to a surface area or node inside the rigging when the load or constraint is applied. Therefore, it is better to add the load applying body during a modeling process.

In a specific implementation, various ways of adding the load applying body may be divided into two categories, one is to add a cylinder simulation chain as the load applying body, modeling (first rigging model data) of which is as shown in <FIG> and <FIG>, and the other is to add a chain as the load applying body, the modeling (first rigging model data) of which is as shown in <FIG> and <FIG>.

In step S120, a three-dimensional laser scanning device is controlled to aim at predefined mark points arranged on a surface of a rigging model entity, and to move along with the predefined mark points.

Wherein, the rigging model entity is a model entity corresponding to the first rigging model data.

For a selection rule of the predefined mark points arranged on the surface of the rigging model entity, the predefined mark points may be arranged by selecting easily deformed areas on the rigging model due to downward tension. For example, the predefined mark points may be selected in positions such as the lower area of the rigging model, the area near the load applying body on the rigging model, and the area with less stress tolerance on the rigging model.

In the step, laser rays emitted by the three-dimensional laser scanning device are controlled by the computer device to aim at the predefined mark points arranged on the surface of the rigging model entity, and to move along with the predefined mark points.

In step S130, movement data of the three-dimensional laser scanning device moving along with the predefined mark points is acquired, and according to the movement data, deformation data generated by the rigging model entity bearing stress is determined.

In the step, the computer device acquires the movement data of the three-dimensional laser scanning device moving along with the predefined mark points from the three-dimensional laser scanning device, and then determines, according to the movement data, the deformation data generated by the rigging model entity bearing stress.

It should be noted that the predefined mark points are fixed on the surface of the rigging model entity. If the rigging model entity is deformed, the positions of the predefined mark points can be changed, and the laser rays emitted by the three-dimensional laser scanning device is moved along with the predefined mark points, such that the data moving along with the predefined mark points may accurately reflect the actual deformation data of the rigging model entity.

In step S140, according to the deformation data, arrangement accuracy of the load applying body which has been added to the first rigging model data is analyzed.

The deformation data may reflect whether the arrangement of the added load applying body is reasonable. For example, if the deformation data is large, it indicates that the arrangement position of the added load applying body is unreasonable; and if the deformation data is small or even no deformation occurs, it indicates that the arrangement position of the added load applying body is reasonable.

For example, the arrangement accuracy of the load applying body is determined according to the size of the deformation data. The greater the deformation data, the lower the accuracy. The smaller the deformation data, the higher the accuracy. For example, when the deformation data is greater than the first predefined deformation degree, it is determined that the arrangement of the load applying body is unreasonable. For example, when the deformation data is smaller than the second predefined deformation degree, it is determined that the arrangement of the load applying body is reasonable.

In step S150, based on the arrangement accuracy and data of the load applying body, the arrangement position of the added load applying body is adjusted to obtain the adjusted second rigging model data.

In a specific implementation, the higher the arrangement accuracy, the smaller adjustment displacement for adjusting the arrangement position of the added load applying body. The data such as the weight data and weight distribution of the load applying body may determine the direction of the adjustment displacement mode for adjusting the arrangement position of the added load applying body. For example, when the weight data of the load applying body is large and the weight distribution of the load applying body is inclined to a certain side area on the load applying body, the arrangement position of the load applying body on the rigging model may be adjusted. The certain side area on the load applying body may be evenly distributed relative to the left and right sides of the rigging model by means of rotation, pushing and the like. That is, the relative position between the certain side area on the load applying body and the rigging model is arranged in the center, thereby preventing the side area from being inclined to a certain side relative to the rigging model, such that the downward pulling force of the load applying body on the rigging model may be more uniform in the contact part, thereby preventing the pressure intensity of the load applying body on the rigging model from being increased when the load applying body is inclined.

In the embodiment of the present invention, the three-dimensional laser scanning device aims at the predefined mark points arranged on the surface of the rigging model entity, and moves along with the predefined mark points, to determine the actual deformation situation caused by the rigging model entity bearing the stress according to the movement data, and further analyze the accuracy of the adding arrangement, such that the adding arrangement of the load applying body may be adjusted more accurately, and the position of the added load applying body is more accurate and more suitable for the stress of the rigging, thereby avoiding the abnormal deformation of the rigging caused by unbearable stress, that is, avoiding the deformation of the rigging due to improper arrangement of the added load applying body, and alleviating the technical problem of the abnormal deformation of the rigging due to the rigging being unable to bear stress caused by an existing addition of the load applying body to the rigging.

The following provides details for the steps.

In some embodiments, the method may further include step a).

In step a), while laser rays emitted by the three-dimensional laser scanning device aim at and move along with the predefined mark points, the three-dimensional laser scanning device is controlled to detect temperature of the model entity at the predefined mark points, to obtain temperature change data of the rigging model entity.

The temperature of the model entity at the predefined mark points may be detected by the three-dimensional laser scanning device to obtain the temperature change data of the rigging model entity, such that the rigging temperature change situation of the rigging model entity due to the stress of the load applying body may be obtained more comprehensively and accurately.

In some embodiments, the computer device is further connected with an ultrasonic device. Material of the rigging model entity is metal material. The method may further include steps b) and c).

In step b), when the temperature change data exceeds a predefined temperature change threshold, the ultrasonic device is controlled to carry out ultrasonic flaw detection on the rigging model entity, to obtain an ultrasonic flaw detection result.

In step c), based on the ultrasonic flaw detection result, the temperature change data and the deformation data corresponding to the predefined mark points, the stress data of the first rigging model data is analyzed.

In a specific implementation, the temperature of the rigging model entity may rise due to the large stress of the load applying body, easily resulting in deformation and internal damage of the rigging model entity. If the rigging model entity is internally damaged, the temperature may rise sharply. The greater the temperature change when the temperature rises sharply, the more serious the internal damage of the rigging model entity.

In the embodiment of the present invention, a critical value of temperature change when the rigging model entity is internally damaged may be selected as the predefined temperature change threshold. It should be noted that the small temperature rise change of the rigging model entity is caused possibly only due to the stress, while the large temperature rise change is likely caused by internal damage of the rigging model entity. The critical value of temperature rise change corresponding to the critical damage inside the rigging model entity may be selected as the predefined temperature change threshold in the embodiment.

It should be noted that the rigging model entity is likely to be internally damaged due to the stress of the load applying body, while the internal damage may not be exposed, thus the internal damage of the rigging model entity may not be found from the surface.

According to the embodiment of the present invention, even if the internal damage of the rigging model entity cannot be found from the surface, the internal damage of the rigging model entity may be detected through the ultrasonic flaw detection of the ultrasonic device, achieving an accurate detection for the internal damage of the rigging that cannot be found. Based on the more comprehensive data such as the ultrasonic flaw detection result, the temperature change data and the deformation data, the analyzed stress data of the first rigging model data may be more accurate.

In some embodiments, the method may further include steps d) and e).

In step d), a designated rigging operating environment data is acquired.

In step e), according to the designated rigging operating environment data and the temperature change data, cooling modes for the first rigging model data are predicted.

Through the rigging operating environment data and the temperature change data, the cooling modes of the rigging model may be predicted more comprehensively based on the more comprehensive temperature data, such that the predicted cooling modes of the rigging model are more accurate and comprehensive.

In some embodiments, the cooling modes include a first cooling mode in a first process in which the rigging in the first rigging model data drives the load applying body to move upwards, and a second cooling mode in a second process in which the rigging and the load applying body are not moving. The step e) may specifically include steps f) and g).

In step f), according to the designated rigging operating environment data, the temperature change data, the weight data of the load applying body and a movement speed of the rigging in the first process, the first cooling mode for the first rigging model data in the first process is predicted.

In step g), according to the designated rigging operating environment data, the temperature change data and the weight data of the load applying body, the second cooling mode for the first rigging model data in the second process is predicted.

Wherein, a standard temperature threshold in the first cooling mode is greater than a standard temperature threshold in the second cooling mode.

It should be noted that the standard of stress borne by the rigging model in the process of lifting and driving the load applying body to rise is different from the standard of stress borne by the rigging model in the static process of lifting the load applying body.

In the process of lifting and driving the load applying body to rise by the rigging model, higher toughness of the rigging model is needed rather than rigidity. The higher the temperature of the rigging model, the higher the toughness of the rigging model and the weaker the rigidity of the rigging model, thus the standard temperature threshold in the first cooling mode in the process of lifting and driving the load applying body to rise by the rigging model is larger, and then the toughness rather than rigidity of the rigging model is improved, so that the rigging model successfully lifts and drives the load applying body to rise, and at the same time, unnecessary fracture of the rigging model in this process is avoided.

In the static process of lifting the load applying body by the rigging model, the rigidity of the rigging model is more needed than the toughness. The lower the temperature of the rigging model, the higher the rigidity of the rigging model and the weaker the toughness of the rigging model, thus the standard temperature threshold in the second cooling mode in the static process of lifting load applying body by the rigging model is smaller, and then the rigidity rather than toughness of the rigging model is improved, such that the load applying body successfully lifted by the rigging model is in a static state, and at the same, unnecessary deformation of the rigging model is avoided.

In some embodiments, the method may further include step h).

In step h), based on the temperature change data and the deformation data corresponding to the predefined mark points, the stress data of the first rigging model data is analyzed.

In a specific implementation, the temperature of the rigging model entity may rise due to the large stress of the load applying body, easily resulting in deformation. It should be noted that the greater the stress data of the first rigging model data, the greater the corresponding temperature change data and deformation data. Therefore, in the embodiment of the present invention, the stress data of the first rigging model data may be analyzed according to the temperature change data and the deformation data. For example, when the temperature change data is greater than a certain predefined change threshold and the deformation data is greater than a certain predefined deformation threshold, it is determined that the stress data of the first rigging model data is greater than a certain value. For another example, when the temperature change data is less than a certain predefined change threshold and the deformation data is less than a certain predefined deformation threshold, it is determined that the stress data of the first rigging model data is less than a certain value.

Based on the more comprehensive data such as the temperature change data and deformation data of the rigging model entity, the analyzed stress data of the first rigging model data may be more accurate.

In some embodiments, the step S150 may specifically include step i).

In step i), based on the arrangement accuracy, the data of the load applying body and stress data, the arrangement position of the added load applying body is adjusted, to obtain the adjusted second rigging model data.

According to the data of the load applying body, the analyzed arrangement accuracy of the added load applying body and the analyzed stress data of the rigging model, the first rigging model data may be adjusted more comprehensively and accurately, such that the adjusted second rigging model data is more comprehensive and accurate, the adjusted arrangement of the added load applying body is more reasonable and suitable for the rigging model, and the fracture of the rigging due to improper arrangement of the added load applying body is avoided.

<FIG> is a structural schematic diagram of a data processing apparatus for the addition of the load applying body. The apparatus may be applied to a computer device. The computer device is connected with a three-dimensional laser scanning device. As shown in <FIG>, the data processing apparatus <NUM> for the addition of the load applying body includes a first acquiring module <NUM>, a first control module <NUM>, a determining module <NUM>, a first analysis module <NUM> and an adjusting module <NUM>.

The first acquiring module <NUM> is configured to acquire first rigging model data to which a load applying body has been added; wherein the first rigging model data is model data generated by adding the load applying body using three-dimensional modeling software.

The first control module <NUM> is configured to control a three-dimensional laser scanning device to aim at predefined mark points arranged on a surface of a rigging model entity, and to move along with the predefined mark points; wherein the rigging model entity is a model entity corresponding to the first rigging model data.

The determining module <NUM> is configured to acquire movement data of the three-dimensional laser scanning device moving along with the predefined mark points, and determine, according to the movement data, deformation data generated by the rigging model entity bearing stress.

The first analysis module <NUM> is configured to analyze, according to the deformation data, arrangement accuracy of the load applying body which has been added to the first rigging model data.

The adjusting module <NUM> is configured to adjust an arrangement position of the added load applying body, based on the arrangement accuracy and data of the load applying body, to obtain the adjusted second rigging model data.

In some specific embodiments, the apparatus further includes a second control module.

While laser rays emitted by the three-dimensional laser scanning device aim at and move along with the predefined mark points, the second control module is configured to control the three-dimensional laser scanning device to detect temperature of the model entity at the predefined mark points, to obtain temperature change data of the rigging model entity.

In some embodiments, the computer device is further connected with an ultrasonic device. Material of the rigging model entity is metal material. The apparatus is further configured to:.

In some specific embodiments, the apparatus further includes a second acquiring module and a prediction module.

The second acquiring module is configured to acquire a designated rigging operating environment data.

The prediction module is configured to predict cooling modes for the first rigging model data according to the designated rigging operating environment data and the temperature change data.

In some embodiments, the cooling modes include a first cooling mode in a first process in which the rigging in the first rigging model data drives the load applying body to move upwards, and a second cooling mode in a second process in which the rigging and the load applying body are not moving.

The prediction module is specifically configured to:.

In some embodiments, the apparatus further includes a second analysis module.

The second analysis module is configured to analyze stress data of the first rigging model data based on the temperature change data and the deformation data corresponding to the predefined mark points.

In some embodiments, the adjusting module <NUM> is specifically configured to:
based on the arrangement accuracy, the data of the load applying body and the stress data, adjust the arrangement position of the added load applying body, to obtain the adjusted second rigging model data.

The data processing apparatus for the addition of the load applying body provided by the embodiment of the present invention has the same technical characteristics as the data processing method for the addition of the load applying body, so the same technical problems may also be solved, and the same technical effect may be achieved.

The embodiment of the present invention provides an electronic device. As shown in <FIG>, the electronic device <NUM> includes a processor <NUM> and a memory <NUM>. A computer program which may be run on the processor is stored in the memory. The computer program when executed by the processor causes the processor to carry out the steps of the method provided by the above embodiments.

Referring to <FIG>, the electronic device further includes a bus <NUM> and a communication interface <NUM>. The processor <NUM>, the communication interface <NUM> and the memory <NUM> are connected via the bus <NUM>. The processor <NUM> is configured to execute executable modules, such as the computer program, stored in the memory <NUM>.

The memory <NUM> may include an RAM (Random Access Memory) and/or a non-volatile memory, such as at least one disk memory. The wired or wireless communication connection between a network element of the system and at least one other network element is realized through at least one communication interface <NUM>, and the Internet, wide area network, local network, metropolitan area network and the like may be used.

The bus <NUM> may be an ISA (Industry Standard Architecture) bus, a PCI (Peripheral Component Interconnect) bus, or an EISA (Extended Industry Standard Architecture) bus. The bus may be classified into an address bus, a data bus, a control bus, and the like. For convenience, only one double-sided arrow is used for representation in <FIG>, but this does not mean that there is only one bus or only one type of bus.

The memory <NUM> is configured to store a program. The processor <NUM> executes the program after receiving an execution instruction. The method executed by the apparatus according to any one embodiment of the present invention may be applied to the processor <NUM> or implemented by the processor <NUM>.

The processor <NUM> may be an integrated circuit chip and has a signal processing capability. In an implementation process, steps in the method may be implemented by using a hardware integrated logical circuit in the processor <NUM>, or by using instructions in a form of software. The processor <NUM> may be a general-purpose processor including a central processing unit (CPU), a network processor (NP), ect. , a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field-programmable gate array (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components or the like. The methods, the steps, and logical block diagrams that are disclosed in the embodiments of the present invention may be implemented or performed. The general-purpose processor may be a microprocessor, or the processor may be any conventional processor or the like. The steps of the methods disclosed in the embodiments of the present invention may be directly performed by a hardware decoding processor, or may be performed by using a combination of hardware and software modules in the decoding processor. A software module may be located in a mature memory medium in the art, such as a random access memory, a flash memory, a read-only memory, a programmable read-only memory, an electrically erasable programmable memory, a register. The memory medium is located in the memory <NUM>, and the processor <NUM> reads information in the memory <NUM> and completes the steps of the methods in combination with hardware of the processor.

Corresponding to the data processing method for the addition of the load applying body, the embodiment of the present invention also provides a computer readable memory medium. Computer executable instructions are stored in the computer readable memory medium. The computer executable instructions when called and executed by the processor cause the processor to carry out the steps of the data processing method for the addition of the load applying body.

The data processing apparatus for the addition of the load applying body provided in the embodiment of the present invention may be specific hardware on a device or software or firmware mounted on the device, etc. The implementation principle and technical effect of the apparatus provided in the embodiment of the present invention are the same as those of the method in the embodiment. For brief description, matters not mentioned in the apparatus of the embodiment may refer to corresponding contents in the method of the embodiment. It may be clearly understood by those skilled in the art that, for the purpose of convenient and brief description, in a detailed working process of the system, apparatus and unit, with reference to a corresponding process in the method of the embodiment, details are not described again here.

In the embodiments provided in the present invention, it should be understood that the disclosed apparatus and method may be implemented in other manners. The described apparatus in the embodiment is merely an example. For example, a plurality of units or components may be combined or integrated into another system, or some features may be ignored or may not be performed. The indirect couplings or communication connections between the devices or units may be implemented in electronic, mechanical, or other forms.

Then, for example, the flowchart and block diagrams in the accompanying drawings illustrate an architecture, functionality and operation of possible implementations of the apparatus, method and computer program products according to various embodiments of the present invention. In this regard, each block in the flowcharts or block diagrams may represent a module, a segment, or a portion of code, including one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the accompanying drawings. For example, two blocks in succession actually may be executed substantially concurrently, or may sometimes be executed in the reverse order, depending upon the functionality involved. It can also be noted that each block of the block diagrams and/or flowchart diagrams and combinations of blocks in the block diagrams and/or flowchart diagrams can be implemented by special hardware-based systems which perform the specified functions or combination of special hardware and computer instructions.

In addition, functional units in the embodiments provided by present invention may be integrated into one processing unit, or each of the units may exist alone physically, or two or more units may be integrated into one unit.

When the functions are implemented in a form of a software functional unit and sold or used as an independent product, the functions may be stored in a computer readable memory medium. Based on such understanding, the technical solutions of the present invention essentially, or the part contributing to the prior art, or some of the technical solutions may be implemented in a form of a software product. The computer software product is stored in a memory medium, and includes several instructions for instructing a computer device (which may be a personal computer, a server, a network device, or the like) to perform all or some of the steps of the methods in the embodiments of the present invention. The memory medium includes various media, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disc, that may store program codes.

It is noted that similar labels and alphabets represent similar elements in figures, and thus, once an element is defined in one drawing, the element does not need to be further defined and described in other figures. In addition, the terms "first", "second", "third", ect. are only used to distinguish descriptions and cannot be understood as indicating or implying relative importance.

Finally, it should be noted that the foregoing embodiments are merely specific embodiments of the present invention, and are intended for describing the technical solutions of the present invention rather than for limiting the present invention, and the scope of protection of the present invention is not limited thereto.

Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

In this specification, several specific examples are used for illustration of the principles and implementations of the present invention. The descriptions of the foregoing embodiments are used to help understanding the method of the present invention and core ideas thereof.

Therefore, the content of this specification shall not be construed as a limitation to the present invention.

Claim 1:
A data processing method for addition of a load applying body, wherein the method is applied to a computer device, the computer device is connected with a three-dimensional laser scanning device, and the method comprises:
acquiring (S110) first rigging model data to which a load applying body has been added;
wherein the first rigging model data is model data generated by adding the load applying body using three-dimensional modeling software;
controlling (S120) a three-dimensional laser scanning device to aim at predefined mark points arranged on a surface of a rigging model entity, and to move along with the predefined mark points; wherein the rigging model entity is a model entity corresponding to the first rigging model data;
acquiring (S130) movement data of the three-dimensional laser scanning device moving along with the predefined mark points, and determining, according to the movement data, deformation data generated by the rigging model entity when bearing stress;
analysing (S140), according to the deformation data, arrangement accuracy of the load applying body which has been added to the first rigging model data; and
adjusting (S150) an arrangement position of the added load applying body, based on the arrangement accuracy and data of the load applying body, to obtain the adjusted second rigging model data.