Optimizing method for mobile compression equipment patrol based on e2sfca reachability analysis
A mobile and equipped technology, applied in the direction of sustainable waste treatment, data processing application, forecasting, etc., can solve the problem of low waste disposal efficiency in villages and towns, inability to meet the source reduction needs of sanitary environment, and inability to determine efficient pretreatment and compression of waste Improve the efficiency of pretreatment and strengthen the capacity of source reduction
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[0019] Specific implementation mode 1: The mobile compression equipment patrol optimization method based on E2SFCA reachability analysis in this embodiment The specific process is (such as figure 1 shown):
[0020] Step 1. Obtain the demand for domestic waste pretreatment in the study area, including the following steps:
[0021] Step 11. Use the administrative boundary of the study area to cut the population density raster data of the United Nations Worldpop to obtain the population distribution of the study area;
[0022] The population density grid of the United Nations Worldpop is: 100*100m;
[0023] Steps 1 and 2: Use the population distribution in the study area obtained in step 11 to obtain the demand for pretreatment of domestic waste in the study area:
[0024] Step 121: Use the urban-rural boundary in the administrative boundary of the study area to divide the population distribution in the study area obtained in step 11 to obtain the urban population distribution ...
Embodiment
[0050] The present invention is based on the research status of a county-level city in a certain province in southeastern my country, and has carried out the evaluation analysis and route generation of the compression capacity of the domestic garbage compression process in Changshu area, and the specific process is as follows:
[0051] (1) Use the Changshu administrative area to cut the population density data to obtain the population density of the Changshu area. Based on the ArcGIS raster calculator, each population grid is given the average daily output data of garbage. like figure 2 shown;
[0052] (2) Using Tyson polygons, based on the existing distribution of waste compression stations, divide the area, clarify the service area of each facility, as well as the population and the average daily output of waste under the jurisdiction, and the Tyson polygon boundary diagram of the location of the treatment facility. like image 3 shown.
[0053] (3) Based on the Python...
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