农业机械信息管理平台中会计智能化监测技术研究

Research on Intelligent Accounting Monitoring Technology in Agricultural Machinery Information Management Platform

为了提高农业机械信息管理平台的智能化服务水平,将云技术和会计智能化监测技术引入到了平台的设计上,并以农机调度系统的平台功能设计为例,在智能监测的基础上,采用粒子群神经网络算法对调度系统进行优化设计。为了验证方法的可行性,以不同作业区块的路径规划模拟为测试对象,将优化前后的调度系统的性能进行了对比。由路径规划距离和调度完成作业耗时的对比发现:优化后的系统可以明显节省作业时间和行驶距离,从而有效降低了作业生产的成本。

In order to improve the intelligent service level of agricultural machinery information management platform,it introduced cloud technology and accounting intelligent monitoring technology into the platform design.Taking the platform function design of agricultural machinery dispatching system as an example,on the basis of intelligent monitoring,it used particle swarm optimization neural network algorithm to optimize the dispatching system.In order to verify the feasibility of the method,the performance of the dispatching system before and after optimization is compared with that before optimization,taking the simulation of path planning in different job blocks as the test object.By comparing the distance of path planning with the time spent in dispatching,it is found that the optimized system can obviously save operation time and driving distance,thus it is effective.It reduces the cost of activity-based production.