bluuebunny/crossref_metadata_2025_split huggingface dataset:
Design of energy-saving greenhouse automatic irrigation system
Authors: Guo Yaqin 
Published: February 2022

Abstract
In view of the urgent need of the greenhouse irrigation, a Energy-saving greenhouse automatic irrigation system is designed. The system is powered by solar energy and controlled by Single Chip Microcomputer. Multi-point humidity sensor is used to detect soil humidity. An intuitive system management platform is also provided to complete data processing. The information management software was developed for real-time monitoring and remote alarm monitoring. The experiment show that the system can realize the automatic irrigation function, when the soil humidity decreases to the lower threshold of soil humidity, the system starts to work, and when the irrigation reaches the upper threshold, the system can stop irrigation within 10min. The system is easy to operate and stable operation. It also has certain value of application. The development and use of this system can offer experience and technical support to the establishment of intelligent irrigation systems.
Risk assessment of high slope landslide in open-pit mine based on comprehensive geophysical prospecting
Authors: Zhao Zihao , Lyu Haijian , Kang Sen 
Published: February 2022

Abstract
The landslide of high slope of open-pit ore rock poses a great threat to the safe production of open-pit mine and seriously affects the economic benefits of the mine. The risk of landslides for the mines where landslides have occurred should be assessed in order to avoid similar accidents. The mechanism of landslide in area C of Bayan Obo’s East mine was studied, and the comprehensive prospecting of seismic method, geological radar method and high-density electric method was carried out on all areas of the main east mine without landslide reinforcement. On the basis of comprehensive prospecting results, five indicators affecting slope stability, such as water content and fault combination mode, were selected. By making pairwise comparison between these five factors, the judgment matrix was constructed, and the weight matrix of each factor was obtained by transforming the judgment matrix. Based on experience and parameter sensitivity analysis, these indexes were divided into three levels: high risk, medium risk and low risk, and the degree of correlation between each factor and evaluation was calculated. Taking a section as an example, the gray fuzzy matrix and weight matrix were constructed, and the gray comprehensive fuzzy judgment was carried out to determine the landslide risk level of the section.
Blockchain-based big data forecasting system for the marine environment
Authors: Han Luyao , Shi Xiaoxiao , Dong Mingmei , Wei Guanghao , Song Xiao 
Published: February 2022

AbstractIn response to the difficulty in sharing and low utilization of marine forecasting resources such as marine environment data, marine environment big data forecasting methods and marine environment forecasting products, the author proposed a blockchain system architecture consisting of data layer, network layer, transaction layer and application layer. Based on key technologies such as FISCO alliance chains, incentive mechanism and smart contracts, a marine environment big data forecasting system is developed in order to manage marine environment data and marine forecast products such as measured data, marine information products, sea surface temperature, sea surface height, 3D thermohaline circulation, typhoon tracks, and red tide occurrence rate on the chain. The system is able to achieve the decentralized common maintenance and trusted data sharing of marine forecast resources. It also promotes the development of marine environment forecasting technology, and provides a concrete and workable solution for the integration of blockchain and marine technology.
Association plant leaf longevity to the increasing warm and arid environment
Authors: Zheng Xiaofeng , Chen Jiping , Sun Jiarui , Ren Rui 
Published: February 2022

Abstract
The longevity of plant leaves is an important factor relating to their growth strategies and responding to global climate change. The focus of this study is to present a meta-analysis of leaf life spans through an extensive literature survey. As to our knowledge, no comprehensive synthesis has yet been presented to reveal the response of leaf longevities to changing external abiotic factors, including elevated levels of carbon dioxide, increasing temperatures and shorter availability of moisture. We screened 146 abstracts from the Web of Science and summarized the results of 78 specific studies dealing with plants leaf longevity including herbaceous, shrub and tree species. The reaction of tree species was assessed in field studies while shrub and herb species were studied under experimental or field conditions. The leaf longevities of tree species are most affected by elevated levels of CO2, but not by the other two factors. Shorter leaf longevities of herbaceous species are observed in response to rising temperatures and greater moisture levels. Shrub species did not show significant changes in leaf longevity responding to any of the studied external factors. Herbaceous species were more affected by combined changes in temperature, moisture, and CO2 than shrub and tree species. In view of the whole plant biome, there are no significant responses, neither.
Assessment of flood control and water environment considering river construction project in a typical coastal city
Authors: Fu Lei , Wang Junmin , Wu Changhuai , Xu Haibo 
Published: February 2022

Abstract
With the acceleration of industrialization and urbanization, the flood control ability and water environment of most Chinese coastal cities become worse than before, the current river network water system layout and river scale can no longer meet the regional flood discharge and drainage requirements. Yuhuan city is a typical coastal city located close to the east offshore area of China, which also suffered from the flood control and water environment problems. According to the planning reconstruction project of river network in Yuhuan city, the layout of river networks will transform. In this study, a river network model is introduced to simulate different conditions of the planning project. A comprehensive study of flood control and water environment method is utilized in order to ensure the regional water security and social development.
Practical analysis of cleaning water supply pipeline using air and water flushing technology
Authors: Yuan Wenqi , Chen Feng , Ding Jie 
Published: February 2022

Abstract
To ensure the safety of water quality, pipe network cleaning and security management are put forward higher requirements. Traditional single-phase water flushing pipe technology requires high velocity and large flow rate of water, which does not suitable for large-diameter pipes. Air and water flushing pipes are new pipeline cleaning technology, which has high efficiency, good washing effect, and can save a lot of water. The principles of airwater flushing large-diameter, large-deviation-elevation, and many- ups-and-downs pipes are described in this paper. Based on the two-phase flow theories, it analyzes complex hydraulic characteristics and control parameters for flushing pipeline. Combine with engineering practice, air and water flushing diameter of 800 mm pipeline in Shanghai city and flushing pipe parameters are introduced. The air and water flushing effect and water resource consumption reduction are analyzed, as well.
Study on rock breaking efficiency of special shaped cutters
Authors: Peng Qi , Zhou Yingcao , Yu Jiaqing , Yang Xiongwen , Liu Yu , Ma Chi , Cheng Chris , Ke Xiaohua 
Published: February 2022

Abstract
The optimization of cutter shape has become one of the main innovation direction of PDC bit technology. At present, both domestic and foreign bit manufacturers have put forward various special shaped cutters to improve rock breaking efficiency. However, there are relatively few researches which focus on the rock breaking efficiency of special-shaped cutters. Therefore, three kinds of typical cutters (flat cutter, convex cutter and concave cutter) are selected as the study object in this paper. Based on the single cutter test, the relationship of axial cutting force, cutting area and cutting specific energy under different working conditions will be provided. The experimental results show that the axial cutting force and specific energy of concave cutter and convex cutter are lower than that of flat cutter in most test cases. The results are almost the same for both Vosges sandstone and Marcellus shale cases. In other words, the tested concave cutters are easier to intrude into rock and obtain higher rock brea king efficiency under the same cutting conditions, when compared with flat cutter and convex cutter. The experimental method provides a technica l reference for studying the rock breaking efficiency of three-dimensional cutters with different shapes.
Distribution characteristics of bacterial communities in photovoltaic industrial parks in Northwest China
Authors: Wu Wei , Yuan Bo , Zou Penghui , Yang Ruoting , Zhou Xiaode 
Published: February 2022

AbstractDespite the rapid development of the green energy industry represented by solar photovoltaic, its ecological and environmental effects cannot be ignored. There were few reports on the impact of photovoltaic power station construction on soil bacterial community variation. In this study, the community abundance, diversity, structure, and distribution characteristics of soil bacterial in Gonghe photovoltaic power station, Qinghai Province were analyzed using quantitative Polymerase Chain Reaction techniques and Illumina MiSeq sequencing of the 16S ribosomal RNA gene. Quantitative PCR assay showed that the average16S rRNA gene copy numbers of bacteria in the soil were 8.04×109copies per gram dry soil, which was significantly affected by the physicochemical properties of the soil. Illumina MiSeq sequencing illustrated that Actinobacteria (30.04%), Proteobacteria (29.38%), Firmicutes (2.69%), Bacteroidetes (1.51%), and Chloroflexi (1.07%) were the major phylum of soil bacterial communities, while Rubrobacter (2.51%) and Streptomyces (2.38%) was the main genera. The beta diversity indices of samples assessed via non-metric multidimensional scaling and cluster analysis indicated that the construction of a photovoltaic power station had no significant impact on the soil bacterial community structure. In addition, statistical product and service solutions and redundancy analysis demonstrated that the bacterial abundance and diversity were mainly regulated by soil water content, electrical conductivity, and other environmental factors. This study was the first time to analyze the spatial change of soil bacterial community in the desert under a photovoltaic field, which was of positive significance for the future assessment of how human disturbance affects the plant-bacteria-soil relationship in the desert ecosystem.
An algorithm for rapid ground surface mesh generation used in complex terrain wind field simulation
Authors: Zhao Fan , Zhang Fugang , Chen Bo , Qi Chen , Zhang Jian 
Published: February 2022

Abstract
In the study of wind engineering problems, it is of considerable importance to obtain accurate surface wind field characteristics. Surface features have significant impacts on the characteristics of small- and micro-scale wind field, so the fine reconstruction of terrain features is the basis of small- and micro-scale wind field simulations. However, since the GIS data obtained by satellite scanning cannot be directly used for CFD numerical simulation, the geographic information data is usually of considerable amount and contains a large number of waste points, thus difficult to be completed by manual modeling. To solve this problem, an automatic waste point repair algorithm and a grid aggregation method based on greedy algorithm are proposed, which can quickly and efficiently reconstruct the surface and generate the grid. Relying on the national numerical wind tunnel project and integrating the above core algorithms with the pre-processing and post-processing modules, a general and efficient surface mesh generation software ESM (Earth Surface Mesh) has been developed. Compared with the surface modeling and grid generation modules provided by other software, ESM has more comprehensive functions, and surface grid rapid generation technologies such as waste point data processing, grid adaptive refinement based on elevation change, high fidelity interpolation technology and partition splicing generation. It supports more interfaces and can generate structured and unstructured grids. The preliminary example shows that the surface grid generated by ESM meets the needs of wind engineering simulation.
Research on optimal maintenance cycle model of nuclear equipment based on left and right fuzzy sorting method
Authors: Liu Na , Zou Shuliang , Huang Binhai 
Published: February 2022

Abstract
For the nuclear equipment with high reliability, the optimal maintenance cycle model of nuclear equipments is established by balancing the relationship between working time before component failure and maintenance cost. According to the expert evaluation, the failure of the equipment is analyzed. In the study, the ridge membership function is improved, and the failure probability model is established by using the left and right fuzzy sorting method. It transforms the fuzzy number into the fuzzy probability, so the component fault distribution function is determined. By testing, the model has good applicability and sensitivity. Taking the spent fuel shearing machine as an example, the optimal maintenance cycle of the key parts of the shearing machine is calculated. The results are consistent with the actual conditions, which can provide the basis for the formulation of the nuclear equipment maintenance plan. The results of the study show that the proposed method is of great significance for improving the reliability and maintenance efficiency of nuclear equipment.
Preparation and performance study of V2O5/TiO2 catalysts supported on ceramic filter
Authors: Shen Chen , Zheng Quanjun , Wang Xiaodong , Zhao Jie , Liu Changrui , Lv Haiyang , Dong Changqing , Hu Xiaoying 
Published: February 2022

Abstract
As the country pays more and more attention to air pollution, the ceramic filter catalyst that can achieve the effects of dust removal and NO reduction simultaneously has a promising prospect. In this paper, ceramic fiber filter supported catalyst was prepared by impregnation method and tetrabutyl titanate method. The effects of vanadium content, space velocity, temperature, and tetrabutyl titanate concentration on the NO conversion of ceramic fiber catalysts were studied, and various physical and chemical methods were used for characterization. The results show that ceramic fiber had excellent multi-dimensional space and bridging structure. The NO conversion of impregnation catalyst and tetrabutyl titanate catalyst increased with the increase of vanadium content and tetrabutyl titanate concentration; At 6700h−1 and a temperature of 300°C, both catalysts can reached the highest catalytic efficiency, tetrabutyl titanate method catalyst was 93.67%. The tetrabutyl titanate catalyst can be loaded more evenly and the filtration pressure drop of the catalyst was smaller than that of the impregnation catalyst. The filtration pressure drop was increased by about 20% compared with the unsupported ceramic fiber.
C/S-TiO2 nanospheres with enhanced visible-light response for formaldehyde degradation of particleboard
Authors: Lei Chao , Chen Meilan , Zhong Naifei , Yao Weihui , Xiong Yudong , Zhang Xiangyu , Lu Chenxi 
Published: February 2022

AbstractC/S-TiO2nanospheres (CSTN) were prepared using a template-free solvothermal method. The size, shape and composition of the as-synthesised CSTN were investigated by transmission electron microscopy, X-ray diffractometry, energy-dispersive X-ray spectroscopy and electron probe microanalysis/wavelength dispersive spectroscopy. Elemental analysis revealed that C and S atoms were favourably doped into the TiO2. The photocatalytic oxidations were investigated in a simulated environment, and the catalytic activity was assessed by degrading formaldehyde emitted from particleboard under visible-light irradiation. A maximum degradation efficiency of 92.8% within 80 min indicated an excellent photocatalytic performance of the CSTN.
Physical and MAC layer simulation of IEEE 802.15.4c protocol in transformer terminal unit
Authors: Yang Qingsheng , Wang Fuliang 
Published: February 2022

Abstract
IEEE 802.15.4c protocol is suitable for large-scale process control applications with ultra-low complexity, low cost and low power consumption. It is particularly suitable for wireless communication standard used in TTU (transformer terminal unit). Based on the introduction of IEEE 802.15.4c protocol, the physical and MAC (media access control) layer simulation program of IEEE 802.15.4c protocol in TTU is written in MATLAB. In the program, the Gaussian noise with different SNRs (signal-to-noise ratios) is used to simulate noise of signal, and the spread spectrum O-QPSK (offset-quadrature phase shift keying) is used to modulate signal. Based on this, the process of signal generation, signal transmission and signal reception is simulated. The influences of SNR, threshold of sliding autocorrelation method and order of filter on BER (bit error rate) are investigated. The results reveal that the BER of simulation is significantly lower than the theoretical value, and the former is only about 2/5 of the latter when the SNR varies from -2 dB to 6 dB. The threshold of sliding autocorrelation method has a big influence on BER. The threshold corresponding to the minimum BER ranges from 0.4 to 0.6. The order of filter has little influence on BER.
Evaluation suitability of Guanzhong land for green and selenium-rich planting
Authors: Ji Huawei , Ren Rui , Li Aorui , Chen Jiping , Qiao Xinxing , Zhang Yali 
Published: February 2022

Abstract
To carry out the suitability evaluation of green and selenium (Se)-rich planting in Guanzhong area, 74 maize plant samples and 74 rhizosphere soil samples were collected. Our results showed that all soils in the Guanzhong area were clean and pollution-free, but only cinnamon soil and alluvial soil can be divided into green Se-rich land. Moreover, there is safe and no heavy metal exceeded standard in maize seed samples in the Guanzhong area, but only Se content of maize seeds grown in cinnamon soil and alluvial soil reached the Se content standard of Shaanxi Se-rich food (> 0.05 mg/kg) according to soil environmental quality standard, the national standards for food safety, natural selenium-rich land demarcation and identification, and Se-rich food standard of Shaanxi province. These results indicated that cinnamon soil and alluvial soil in the Guanzhong area was very suitable for planting natural, green and safe Se-rich crops.
Complaint electricity customer clustering method based on electricity big data
Authors: Zhao Beibei , Li Lu , Zhang Jiajia , Feng Jingyu , Xia Lipeng , Liu Jingye , Yu Yongxing 
Published: February 2022

Abstract
In the fierce domestic market competition, the improvement of service quality is an important goal of electricity companies. This paper proposes the k-means algorithm based on the improved wolf pack algorithm, which is suitable for the power company complains, there are many factors that affect user complaints. Firstly, the PCA method is used to reduce the dimension of the complaint user’s behavior influencing factors, so as to improve the accuracy of clustering. Secondly, due to the shortcomings of falling into local optimal solution and low clustering accuracy, this paper proposes an improved wolf pack algorithm, which proposes the interactive strategy of walking behavior, calling behavior and an adaptive siege strategy for behavior, the clustering accuracy and convergence speed are improved.This algorithm overcomes the shortcomings of the original algorithm. Moreover, it improves the efficiency and clustering quality of the algorithm and it can realize the accurate classification of users.
Temperature prediction of substation equipment based on back-propagation neural network -simulated annealing
Authors: Wang Yong , Bai Ruxin , Li Weixin 
Published: February 2022

Abstract
The substation is an important part of the smart grid. The stable operation of electrical equipment in the substation is related to the stability of the grid. According to the statistical results, among the common substation equipment failures, thermal failures have a larger proportion. Thermal faults can be monitored through the surface temperature of the equipment, and predicting the changing trend of the equipment temperature in advance is of great significance for reducing equipment faults in substations. For this reason, this paper proposes a method for predicting the temperature of substation equipment based on BP neural network-simulated annealing algorithm, using equipment parameters, environmental information parameters, etc. to predict the temperature of electrical equipment in the substation, so as to realize early warning of thermal faults in substation equipment. Through comparative analysis, it is verified that the method proposed in this paper can accurately predict the temperature of substation equipment, which provides strong guarantee and support for the safety management of substation electrical equipment.
A master-slave game model of power trading in cross-regional spot market
Authors: Zhang Ye , Wang Rongmao , Zhang Jian , Liang Xiaohe , Hui Xuan 
Published: February 2022

Abstract
In order to solve the multi-agent equilibrium of the cross-regional power transaction, a master-slave game model considering multi-agent equilibrium is constructed with the ultimate goal of maximizing the sum of the benefits of all parties in the cross-regional power transaction.
Cooperative optimal configuration of integrated energy system considering uncertainty factors of source-load
Authors: Li Tong , Sun Heyang , Shi Zewen , Li Qingchun , Zhang Jian , Huang Bonan 
Published: February 2022

Abstract
Existing studies have focused on the source-load uncertainty in the integrated energy system (IES), but ignored the impact of the integrated demand response (IDR) uncertainty. Therefore, this paper comprehensively considers the uncertainties of renewable energy, load and IDR, and proposes a two-layer optimal and configuration model. In addition, non-parametric density estimation and Copula theory are combined to improve the traditional source-load uncertainty probability model. Meanwhile, based on the double uncertainty of baseline load and price elasticity coefficient, interval fuzzy calculation method is proposed to modify the elastic coefficient. On this basis, aiming at the minimum annual comprehensive operating cost of the system, the configuration of energy hub equipment was solved in layers. The calculation results show that including IDR in configuration calculation helps to suppress the net load curve of the system, reduce the influence of user energy and intermittent power output uncertainty on system configuration results, and make the system run economically and environmentally.