Mobile compression equipment patrol optimization method based on E2SFCA reachable analysis
A mobile and equipped technology, which is applied in the fields of remote sensing technology, municipal engineering, mathematical modeling and computer technology, and environmental engineering. Efficient pretreatment and compression of transportation patrol routes and other issues to achieve the effect of improving pretreatment efficiency and strengthening the ability to reduce weight at the source
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[0019] Specific implementation mode 1: This implementation mode is based on the E2SFCA reachability analysis of the mobile compression equipment patrol optimization method. The specific process is (such as figure 1 shown):
[0020] Step 1. Obtain the demand for domestic waste pretreatment in the research area, including the following steps:
[0021] Step 11, using the administrative boundary of the research area to clip the United Nations Worldpop population density raster data to obtain the population distribution of the research area;
[0022] The United Nations Worldpop population density grid is: 100*100m;
[0023] Step 12. Use the population distribution in the study area obtained in step 11 to obtain the demand for domestic waste pretreatment in the study area:
[0024] Step 121, using the urban-rural boundary in the administrative boundary of the research area to divide the population distribution of the research area obtained in step 1 to obtain the urban population ...
Embodiment
[0050] The present invention is based on the research status of a county-level city in a province in southeast my country, and has carried out the evaluation analysis and route generation of the compression capacity of the domestic waste compression process in Changshu area. The specific process is as follows:
[0051] (1) Use the administrative area of Changshu City to clip the population density data to obtain the population density of Changshu area. Based on the ArcGIS grid calculator, assign the average daily garbage production data to each population grid. Such as figure 2 shown;
[0052] (2) Using Thiessen polygons, based on the existing distribution of garbage compression stations, divide the area, clarify the service area of each facility, as well as the population and average daily output of garbage under its jurisdiction, and the Thiessen polygon boundary diagram of the location of the processing facilities Such as image 3 shown.
[0053] (3) Based on the Py...
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