The research of innovation path of power monitoring and dispatching under the vision of carbon neutrality based on mobile edge computing

State monitoring method of power dispatching data network based on GIS three-dimensional visualization

“…As can be seen from Figure 5 and Figure 6, when three groups of methods are used to monitor the state data of power dispatching data network, the mean square error and the maximum error value of the method in this paper and the method in reference [6] decrease with the increase of the number of nodes in the sample layer, and are constantly close to zero, and there is an upward trend in the middle of the method in reference [5]. When the mean square error of the monitoring method is greater than 0.1 and the maximum error is greater than 1, there is a phenomenon of data monitoring error.…”

“…Specific tests are carried out from four aspects: recall rate, precision rate, mean square error and maximum error monitoring effect. In this test experiment, in order to highlight the performance of the research method, reference [5] method and reference [6] method are set as the comparison methods of the experiment, and the same experimental environment is configured to ensure the comparability of the experimental results. Figure 2 shows the experimental environment of this system test experiment.…”

“…According to Formula (7) and Formula (8), the monitoring effects of the three methods are calculated respectively, and the test results are shown in Figures 3 and 4. The method in this paper Reference [5] method Reference [6] method The method in this paper Reference [5] method Reference [6] method Figure 4 Comparison results of precision.…”

“…In order to further compare the effects of the three monitoring methods, the mean square error and maximum error of the monitoring platform diagram shown in Figure 2 under different sample layer nodes are calculated, and the calculated results are shown in Figures 5 and 6. The method in this paper Reference [5] method Reference [6] method Figure 6 Comparison results of maximum error.…”

“…Through the discharge control scheduling algorithm of energy storage power station, the whole process monitoring of energy storage power station is realized, the work efficiency is improved and the cost of discharge control link is reduced. Reference [6] proposes an innovative path monitoring method for power monitoring and dispatching based on moving edge computing under the vision of carbon neutrality. This method decomposes the task unloading decision and resource allocation problem into two subproblems, and solves two optimization subproblems respectively.…”