In order to improve the management efficiency of peach orchards, this paper considers the cooperative operation scheme of multiple unmanned tractors. According to the actual situation, this paper constructs the path planning model of multiple unmanned tractors in a standard peach orchard, designs the objective function to optimize the total turning time and total operating time according to the tractor driving parameters, and solves it by improving the differential evolution algorithm. Aiming at the premature convergence problem, the permutation matrix is introduced to represent the driving paths of multiple unmanned tractors. Then, the dynamic parameters are adopted to make the parameters change with the number of iterations, and the elite selection strategy is used to eliminate the redundant feasible solutions. An Adaptive Elite Differential Evolution (AEDE) algorithm suitable for multi-tractor path optimization is proposed. The results show that, compared with the traditional Differential Evolution algorithm (Differential Evolution, DE), the total turning time and total operating time in the rectangular peach orchard optimized by AEDE are reduced by 3.34% and 0.87%, respectively. Compared with the block operation, the total turning time and total operating time of the AEDE-optimized rectangular peach orchard operation path were reduced by 37.37% and 9.47%, respectively. Experiments show that AEDE, which optimizes the operating path of multi-tractors in standard peach orchards, is able to improve the efficiency and reduce the operating time.

With the strengthening of the integrated characteristics of power grid and the construction of the New Generation Dispatching and Control System with “physical distribution, logical integration”, the demand for global monitoring and analysis of power grid has gradually increased. On the basis of understanding of design of the new generation real-time dispatching and control data platform system, with the principles of componentization and servitization, the real-time power grid WebGIS visualization framework is designed and implemented. And this paper further introduces the design of the front-end secondary development interface and examples, as well as the cartographic generalization of the power grid WebGIS visual map. This framework has successfully supported the construction and online operation of several real-time power grid WebGIS visualization applications.

With the progress of the times, Internet of things technology is increasingly close to public life, which provides great support for the promotion of an intelligent and convenient lifestyle. The basic research on computer technology can form a contemporary emerging Internet of things technology, which has brought a great breakthrough to the information industry. Internet of things technology has brought a new model to home design. At the same time, through China’s proposal of various schemes, it has more effectively promoted the effective application of smart home. In order to improve the credibility of technical evidence in civil litigation of housing residence right, this research generates a big data portrait algorithm of water and electricity behavior characteristics through a fuzzy neural network (FNN) Fourier function (FFT), remote real-time meter reading data and generates feature code comparison algorithm of civil evidence of civil residence right (CRR) through machine learning decision technology (MLDT). As an important part of the court evidence chain, the in-depth mining of electric energy meters and water meters in the smart home Internet of things technology (IOTT) provides technical evidence for the actual residents of a specific house at a specific time. In this study, FNN and MLDT are used to directly judge the machine learning results of evidence required for ordinary civil court debate. The software that constructs the algorithm in the python big data analysis software environment has higher judgment ability for the house ownership confirmation algorithm and has significant advantages. The technical way to obtain the confirmation result of housing residence right is also significantly better than other results. With the support of other relevant evidence, the conclusion of the software can form an evidence chain to meet the needs of civil defense, and the credibility of its technical evidence is very high. In the simulation analysis, although the algorithm designed in this study can not achieve 100% data expression, it also has comparative advantages.

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