Buffer analysis-based scheduling optimization system for mobile organic waste recycling device

Abstract

A buffer analysis-based scheduling optimization system for a mobile organic waste recycling device, relating to the technical field of device scheduling. The present invention aims to solve the problem of low waste disposal efficiency caused by low scheduling efficiency of existing mobile organic waste recycling devices. The present invention specifically comprises: obtaining large organic waste disposal facility locations, obtaining a road network data set, assigning speed values to roads in the road network data set, and obtaining passing time to the large organic waste disposal facility locations; obtaining a time accessible area range and a space accessible area range, thereby obtaining the total number of mobile organic waste recycling devices needing to be arranged in an area needing the mobile organic waste recycling devices to supplement waste disposal capacity and the total number of locations needing the mobile organic waste recycling devices to collect waste; obtaining collection and operation locations of the mobile organic waste recycling devices; and obtaining a transportation plan of the mobile organic waste recycling devices from the collection locations to the operation locations. The present invention is used for obtaining an optimal scheduling method for a mobile organic waste recycling device.

Description

A scheduling optimization system for mobile organic resource equipment based on buffer analysis Technical Field

[0001] The present invention relates to the technical field of equipment scheduling, and in particular to a mobile organic resource equipment scheduling optimization system based on buffer analysis. Background Art

[0002] The dramatic increase in domestic waste in Chinese cities has caused a series of environmental problems, and waste sorting, collection, and transportation have become increasingly important. Organic waste, also known as perishable waste, refers to biomass domestic waste such as food waste, leftovers, expired food, melon peels and fruit cores, flowers and plants, and traditional Chinese medicine residues. It often accounts for 40%-60% of the total domestic waste. Composting is one of the common methods of organic waste treatment. It is a method of degrading and transforming perishable organic matter through the metabolism of microorganisms. It can achieve the "four transformations" of organic waste treatment and is one of the most suitable methods for treating organic waste. Other common organic waste treatment methods include landfilling, incineration, anaerobic digestion, and hydrothermal treatment. As the terminal process of waste treatment, the above-mentioned treatment processes require supporting front-end waste collection and transportation.

[0003] In terms of organic waste collection and treatment, common models include large-scale centralized collection and treatment and small-scale on-site treatment. Mobile organic resource recovery equipment, as a new organic waste treatment solution, can be flexibly dispatched regionally based on actual waste treatment needs. This can eliminate the need to transport remote organic solid waste to large-scale treatment facilities and improve waste treatment efficiency. However, mobile small-scale on-site treatment equipment requires reasonable demarcation of its operating points and service scope. Due to the severe temporal and spatial fluctuations in organic waste, the current scheduling efficiency of mobile organic resource recovery equipment is low, which in turn leads to low waste treatment efficiency.

[0004] Summary of the Invention

[0005] The purpose of the present invention is to solve the problem of low scheduling efficiency of current mobile organic resource recovery equipment, which in turn leads to low waste treatment efficiency, and proposes a mobile organic resource recovery equipment scheduling optimization system based on buffer analysis.

[0006] A mobile organic resource equipment scheduling optimization system based on buffer analysis includes: a large facility point acquisition module, a travel time acquisition module, a mobile organic resource equipment layout area acquisition module, a mobile organic resource equipment quantity and garbage collection point quantity acquisition module, a mobile organic resource equipment collection and operation point acquisition module, and a collection point to operation point transportation plan acquisition module;

[0007] The large-scale facility point acquisition module is used to obtain the point element vector file of the existing large-scale organic waste treatment facility point, and send the point element vector file of the existing large-scale organic waste treatment facility point to the travel time acquisition module;

[0008] The travel time acquisition module obtains the travel time of the mobile organic resource equipment from any point to each large-scale facility point based on the administrative geographic file of the study area and the location of the large-scale organic waste treatment facility, and sends the travel time of the mobile organic resource equipment from any point to each large-scale facility point to the mobile organic resource equipment layout area acquisition module;

[0009] The mobile organic resource recovery equipment deployment area acquisition module obtains the time-reachable area range and spatially-reachable area range of the large-scale organic waste treatment facility points under a preset time threshold based on the travel time of the mobile organic resource recovery equipment from any point to each large-scale facility point, thereby obtaining the area where the mobile organic resource recovery equipment needs to supplement the waste treatment capacity, and sends the area where the mobile organic resource recovery equipment needs to supplement the waste treatment capacity to the mobile organic resource recovery equipment quantity and waste collection point quantity acquisition module and the mobile organic resource recovery equipment collection and operation point acquisition module;

[0010] The module for acquiring the number of mobile organic resource recovery equipment and the number of garbage collection points is used to acquire the total number of mobile organic resource recovery equipment that needs to be deployed in the area where mobile organic resource recovery equipment is needed to supplement the garbage treatment capacity, as well as the total number of points where mobile organic resource recovery equipment is needed to collect garbage, and sends the total number of mobile organic resource recovery equipment that needs to be deployed in the area where mobile organic resource recovery equipment is needed to supplement the garbage treatment capacity, as well as the total number of points where mobile organic resource recovery equipment is needed to collect garbage, to the mobile organic resource recovery equipment collection and operation point acquisition module;

[0011] The mobile organic resource recovery equipment collection and operation point acquisition module acquires the mobile organic resource recovery equipment collection and operation points based on the area where the mobile organic resource recovery equipment is needed to supplement the garbage treatment capacity, the total number of mobile organic resource recovery equipment that needs to be deployed in the area where the mobile organic resource recovery equipment is needed to supplement the garbage treatment capacity, and the total number of points where the mobile organic resource recovery equipment needs to collect garbage, and sends the mobile organic resource recovery equipment collection and operation points to the collection point to operation point transportation plan acquisition module;

[0012] The module for acquiring a transportation plan from a collection point to an operation point is used to acquire a transportation plan for mobile organic resource recovery equipment from a collection point to an operation point.

[0013] Furthermore, the large-scale facility location acquisition module is used to obtain the point element vector file of the existing large-scale organic waste treatment facility locations, specifically:

[0014] S101. Obtain the locations of large-scale organic waste treatment facilities in the study area;

[0015] The large-scale organic waste treatment facilities include: composting plants, anaerobic digestion plants;

[0016] S102: Using the MapLocation method to process existing large-scale organic waste treatment facility locations, and obtaining point feature vector files of the large-scale organic waste treatment facility locations.

[0017] Furthermore, the travel time acquisition module obtains the travel time of mobile organic resource equipment from any point to each large facility point based on the administrative geographic file of the study area and the location of large organic waste treatment facilities, specifically:

[0018] S201. Obtain the administrative scope geographic file of the study area, and use the administrative scope geographic file of the study area to obtain the road network dataset, specifically:

[0019] S201-1. Obtain the administrative scope geographic file of the study area, clip the OpenStreetMap road network vector data from the administrative scope geographic file of the study area, and use the Repair Geometry function in the ArcMap data management tool to repair erroneous data in the OpenStreetMap road network vector data to obtain the repaired OpenStreetMap road network vector data;

[0020] The errors in the OpenStreetMap road network vector data include: empty geometry, short line segments, and non-closed loops;

[0021] S201-2. Checking the road network connectivity of the repaired OpenStreetMap road network vector data. Using the ArcMap Feature to Point tool, disconnect the intersection endpoints of disconnected road networks to obtain processed OpenStreetMap road network vector data.

[0022] S201-3. The processed trunk road and motorway vector data in the OpenStreetMap road network vector data are combined into a road network dataset;

[0023] S202. Assign a speed value to each type of road in the road network dataset to obtain the travel time for mobile organic resource equipment to reach each large facility point from any point through each road in the road network dataset.

[0024] Furthermore, in S202, a speed value is assigned to each type of road in the road network dataset to obtain the travel time of the mobile organic resource equipment from any point through each road in the road network dataset to each large facility point, specifically:

[0025] S202-1. Assign the average speed of each road type on typical urban roads to the average speed value of each road type in the road network dataset;

[0026] The typical urban roads are roads with average driving speeds of 70km / h, 50km / h, 35km / h, and 30km / h, respectively;

[0027] S202-2. Project the road network dataset with the average speed value into the CGCS2000_120E coordinate system to calculate the planar length of each road section. Divide the planar length of each road section by the average speed value of the current road type to obtain the travel time of each road section. Finally, the travel time of mobile organic resource equipment from any point to each large-scale facility point is obtained.

[0028] Furthermore, the mobile organic resource recovery equipment deployment area acquisition module obtains the time-reachable area range and spatial-reachable area range of the large-scale organic waste treatment facility points under a preset time threshold based on the travel time of the mobile organic resource recovery equipment from any point to each large-scale facility point, thereby obtaining the area where the mobile organic resource recovery equipment is required to supplement the waste treatment capacity, specifically:

[0029] S301. Based on the travel time of mobile organic resource equipment from any point to each large-scale facility point, obtain the temporally accessible area range and spatially accessible area range of the large-scale organic waste treatment facility point within a preset time threshold, specifically:

[0030] Firstly, the network analysis module of ArcMap software and the Python-based evolutionary particle swarm algorithm were used to obtain the reachable area of ​​large-scale organic waste treatment facilities under a preset time threshold by taking into account the travel time of mobile organic waste recycling equipment to each large-scale facility.

[0031] The preset time threshold is the preset time for arriving at the large organic waste treatment facility;

[0032] Then, the service area analysis module of ArcMap software obtains the spatial reachable area of ​​the large organic waste treatment facility location under the preset spatial threshold;

[0033] The preset spatial threshold is the preset distance from the location of the large organic waste treatment facility;

[0034] S302. Obtain the overlapping range of the time-reachable area of ​​the large-scale organic waste treatment facility point under the preset time threshold and the spatially reachable area of ​​the large-scale organic waste treatment facility point under the preset spatial threshold. The area outside the overlapping range is the area where mobile organic resource equipment is required to supplement the waste treatment capacity.

[0035] Furthermore, the total number of mobile organic resource recovery equipment that needs to be deployed in the area where mobile organic resource recovery equipment is needed to supplement the waste treatment capacity is specifically:

[0036] Among them, N1 is the total number of mobile organic resource recovery equipment that needs to be deployed in the area where mobile organic resource recovery equipment is needed to supplement the garbage treatment capacity, Q is the total organic resource recovery treatment load, and q is the daily treatment load of the mobile organic resource recovery equipment.

[0037] Furthermore, the total number of points where mobile organic resource recovery equipment is required to collect garbage is specifically:

[0038] Among them, N2 is the total number of points where mobile organic resource equipment is required to collect garbage, and a is the amount of garbage collected at each collection point.

[0039] Furthermore, the total organic resource processing load Q is specifically:

[0040] Among them, P is the population thermal density of the area where mobile organic resource recovery equipment is needed to supplement the waste treatment capacity, M is the total amount of organic waste in the area where mobile organic resource recovery equipment is needed to supplement the waste treatment capacity in the past year, and n is the total population of the area where mobile organic resource recovery equipment is needed to supplement the waste treatment capacity.

[0041] Furthermore, the mobile organic resource recovery equipment collection and operation point acquisition module acquires the mobile organic resource recovery equipment collection and operation points based on the area where the mobile organic resource recovery equipment is required to supplement the garbage processing capacity, the total number of mobile organic resource recovery equipment that needs to be deployed in the area where the mobile organic resource recovery equipment is required to supplement the garbage processing capacity, and the total number of points where the mobile organic resource recovery equipment is required to collect garbage, specifically:

[0042] S501, obtaining the spatial range of unused land types in the area where the organic resource recovery equipment needs to be moved to supplement the waste treatment capacity;

[0043] S502, setting a buffer zone of a preset width for each road within the spatial range of the unused land type obtained in S501, and using the buffer zone as the equipment selection point range;

[0044] S503: Randomly generate a preset number of random points within the equipment selection point range, delete the random points whose distance to the key life factor is less than a preset first distance, and the remaining random points are selected as the collection and operation points of the mobile organic resource equipment;

[0045] The key life factors include: water source protection areas, school areas, residential areas, and farmland;

[0046] S504: Set the odor diffusion radius, draw a circle with the residential area as the center according to the odor diffusion radius to obtain the odor diffusion range, remove the mobile organic resource collection equipment and operation selection points within the odor diffusion range, and obtain the operation selection points;

[0047] The odor is ammonia; the odor diffusion radius is set according to the odor threshold, and the radius greater than the preset odor threshold range is used as the odor diffusion radius;

[0048] S505: Set the service radius R of the mobile miniaturized equipment, and select N1 points with the largest sum of service ranges of the mobile organic resource recovery equipment from the optional operation points based on the service area analysis algorithm as the operation points of the mobile organic resource recovery equipment;

[0049] S506. Remove the mobile organic resource utilization equipment operation point obtained in S505 from the operation optional points obtained in S503 to obtain a collection optional point. Select N2 points with the largest sum of the collection ranges of the mobile organic resource utilization equipment from the collection optional points according to the collection radius r of the mobile organic resource utilization equipment to obtain a mobile organic resource utilization equipment collection point.

[0050] Among them, R is much larger than r.

[0051] Furthermore, the module for obtaining a transportation plan from the collection point to the operation point is used to obtain a transportation plan for the mobile organic resource recovery equipment from the collection point to the operation point, specifically:

[0052] A multi-path transportation optimization method with a time window is adopted, and the lowest transportation fuel cost and population cost is taken as the path optimization goal to obtain the transportation plan of mobile organic resource equipment from each collection point to the operation point.

[0053] The beneficial effects of the present invention are:

[0054] The present invention proposes a method combining GIS network analysis and buffer zone analysis to define the service scope of mobile organic resource equipment. The present invention introduces an accessibility evaluation method to evaluate the time accessibility and distance accessibility of existing facilities. In combination with the spatial distribution of organic waste, the service scope of existing organic waste resource treatment facilities is determined; based on water source protection areas, school residences, farmland and traffic buffer zones, a multi-level GIS buffer zone analysis is used to determine areas suitable for the deployment of mobile miniaturized organic waste composting equipment. By utilizing the location allocation function of GIS and based on the perception of the demand for organic domestic waste treatment, the location of organic waste treatment facilities suitable for the deployment of mobile organic resource equipment is further determined in detail, a spatiotemporal accessibility analysis is constructed, and points with strong spatiotemporal accessibility coverage are screened. Finally, a transportation plan for mobile organic resource equipment from collection points to operation points is obtained, which minimizes the scheduling cost while improving the scheduling efficiency of mobile organic resource equipment, thereby improving waste treatment efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] Fig. 1 is a flow chart of the present invention;

[0056] Figure 2 is the OpenStreetMap open source road network map;

[0057] Figure 3 is a graph showing the results of temporal reachability analysis;

[0058] Figure 4 shows the results of distance accessibility analysis. DETAILED DESCRIPTION

[0059] Specific embodiment 1: This embodiment is a mobile organic resource equipment scheduling optimization system based on buffer analysis, including: a large facility point acquisition module, a travel time acquisition module, a mobile organic resource equipment layout area acquisition module, a mobile organic resource equipment quantity and garbage collection point quantity acquisition module, a mobile organic resource equipment collection and operation point acquisition module, and a collection point to operation point transportation plan acquisition module;

[0060] The large-scale facility point acquisition module is used to obtain the point element vector file of the existing large-scale organic waste treatment facility point, and send the point element vector file of the existing large-scale organic waste treatment facility point to the travel time acquisition module;

[0061] The travel time acquisition module obtains the travel time from any point of the mobile organic resource equipment to each large facility point based on the administrative geographic file of the study area and the location of the large organic waste treatment facility, and sends the travel time from any point of the mobile organic resource equipment to each large facility point to the mobile organic resource equipment layout area acquisition module;

[0062] The mobile organic resource recovery equipment deployment area acquisition module obtains the time-reachable area range and spatially-reachable area range of the large-scale organic waste treatment facility points under a preset time threshold based on the travel time of the mobile organic resource recovery equipment from any point to each large-scale facility point, thereby obtaining the area where the mobile organic resource recovery equipment needs to supplement the waste treatment capacity, and sends the area where the mobile organic resource recovery equipment needs to supplement the waste treatment capacity to the mobile organic resource recovery equipment quantity and waste collection point quantity acquisition module and the mobile organic resource recovery equipment collection and operation point acquisition module;

[0063] The module for acquiring the number of mobile organic resource recovery equipment and the number of garbage collection points is used to acquire the total number of mobile organic resource recovery equipment that needs to be deployed in the area where mobile organic resource recovery equipment is needed to supplement the garbage treatment capacity, as well as the total number of points where mobile organic resource recovery equipment is needed to collect garbage, and sends the total number of mobile organic resource recovery equipment that needs to be deployed in the area where mobile organic resource recovery equipment is needed to supplement the garbage treatment capacity, as well as the total number of points where mobile organic resource recovery equipment is needed to collect garbage, to the mobile organic resource recovery equipment collection and operation point acquisition module;

[0064] The mobile organic resource recovery equipment collection and operation point acquisition module acquires the mobile organic resource recovery equipment collection and operation points based on the area where the mobile organic resource recovery equipment is needed to supplement the garbage treatment capacity, the total number of mobile organic resource recovery equipment that needs to be deployed in the area where the mobile organic resource recovery equipment is needed to supplement the garbage treatment capacity, and the total number of points where the mobile organic resource recovery equipment needs to collect garbage, and sends the mobile organic resource recovery equipment collection and operation points to the collection point to operation point transportation plan acquisition module;

[0065] The module for acquiring a transportation plan from a collection point to an operation point is used to acquire a transportation plan for mobile organic resource recovery equipment from a collection point to an operation point.

[0066] Specific implementation method 2: The large-scale facility point acquisition module is used to obtain the point element vector file of the existing large-scale organic waste treatment facility points, specifically:

[0067] S101. Use the maplocation tool and the geographic coordinate picking tool to determine the location of existing large-scale organic waste treatment facilities;

[0068] The large-scale organic waste treatment facilities include composting plants, anaerobic digestion plants, etc.

[0069] S102: Use the MapLocation method to process the existing large-scale organic waste treatment facility points, obtain the point feature vector shp file of each large-scale organic waste treatment facility point with geographic coordinates and treatment scale, and save it.

[0070] Specific implementation method three: The travel time acquisition module obtains the travel time of mobile organic resource equipment from any point to each large facility point based on the administrative geographic file of the study area and the location of large organic waste treatment facilities, specifically:

[0071] S201. Obtain the administrative scope geographic file of the study area, and use the administrative scope geographic file of the study area to obtain the road network dataset, specifically:

[0072] S201-1. Obtain the administrative scope geographic file of the study area, and clip the OpenStreetMap road network vector data from the administrative scope geographic file of the study area. Use the Repair Geometry function in the ArcMap data management tool to repair geometric errors such as empty geometry, short line segments, and non-closed loops in the OpenStreetMap road network vector data to avoid errors in subsequent calculations.

[0073] S201-2. Check the road network connectivity of the repaired OpenStreetMap road network vector data based on the road network attributes to ensure connectivity between road networks and connectivity between each major facility point and the road network. If a disconnected road network is detected, use the ArcMap Feature to Point tool to disconnect each intersecting endpoint in the repaired OpenStreetMap road network vector data to ensure road network connectivity, thereby obtaining the processed OpenStreetMap road network vector data.

[0074] S201-3. Delete the sidewalks, bicycle lanes, horse paths, and other roads that cannot be used for vehicle transportation in the processed OpenStreetMap road network according to the fclass field attribute, and obtain a road network dataset consisting of vector data of trunk roads and motor vehicle lanes that can accommodate mobile miniaturized equipment.

[0075] S202: Assign speed values ​​to the roads in the road network dataset to obtain the travel time for mobile organic resource equipment to reach each large-scale facility point from any point through each road in the road network dataset, specifically:

[0076] S202-1. Taking the average speed of typical urban roads as the average speed value of each type of road in the road network dataset, assign a speed value to each type of road, as shown in Table 1;

[0077] Table 1 Average speeds on typical roads in different types of cities

[0078] S202-2. Project the road network dataset to the CGCS2000_120E coordinate system, calculate the planar length of each road segment in meters, and divide the road length by the average speed of the current road type to obtain the travel time of mobile organic resource equipment from any point to each large facility point.

[0079] Specific embodiment 4: The mobile organic resource recovery equipment deployment area acquisition module obtains the time-reachable area range and spatial-reachable area range of the large-scale organic waste treatment facility point under a preset time threshold based on the travel time of the mobile organic resource recovery equipment from any point to each large-scale facility point, thereby obtaining the area where the mobile organic resource recovery equipment needs to supplement the waste treatment capacity, specifically:

[0080] S301. Based on the travel time of mobile organic waste recycling equipment from any point to each large-scale facility point, obtain the temporally accessible area range and spatially accessible area range of the large-scale organic waste treatment facility point within a preset time threshold:

[0081] First, in the network analysis module of ArcMap software, we selected Create Service Area Analysis, imported point data of large organic waste treatment facilities as facility points, set the impedance to time, and set the cutoff value to 120 minutes. Combining the travel time of mobile organic resource equipment to each large facility point, the shortest path method (based on Python's evolutionary particle swarm algorithm) was used to calculate the area with a minimum distance of 120 minutes to the large facility. This was the reachable area of ​​the large organic waste treatment facility point within the preset time threshold.

[0082] Then, in the service area analysis settings of ArcMap software, the impedance will be set to length again, and the cutoff value will be set to 30,000 meters. Based on the road network length, the spatially accessible area range under the preset spatial threshold of 30,000 meters from large facilities is obtained.

[0083] S302. Based on the buffer zone analysis, the spatially accessible range is clipped by studying the overall area, and it is calculated that the area outside the overlapping area of ​​the spatially accessible range and the temporally accessible range is the area where the mobile organic resource recovery equipment needs to be used to supplement the waste treatment capacity.

[0084] Specific embodiment 5: The module for obtaining the number of mobile organic resource recovery equipment and garbage collection points is used to obtain the total number of mobile organic resource recovery equipment that needs to be deployed in an area where mobile organic resource recovery equipment is needed to supplement garbage processing capacity, and the total number of points where mobile organic resource recovery equipment is needed to collect garbage, specifically:

[0085] S401. Obtain the population thermal density P of the area where mobile organic resource recovery equipment is required to supplement waste treatment capacity. Multiply P by the average daily organic domestic waste generated by the population in the area where mobile organic resource recovery equipment is required to supplement waste treatment capacity. The average daily organic domestic waste generated by the population is calculated by dividing the total amount of organic waste M in the area where mobile organic resource recovery equipment is required to supplement waste treatment capacity in the past year by the number of days and the total population n. The total organic resource recovery treatment load Q (tons / day) is: Q = P*M / (365*n).

[0086] Among them, the value of M / (365*n) is generally 1.5kg in urban areas and 0.75kg in rural areas;

[0087] S402: Divide Q by the daily processing load q of the mobile organic resource recovery equipment to obtain the total number N1 of mobile organic resource recovery equipment that needs to be deployed in the area where the mobile organic resource recovery equipment is needed to supplement the garbage processing capacity:

[0088] S403. Using the total organic resource processing load Q, obtain the total number of points N2 where mobile organic resource equipment is required to collect garbage:

[0089] Where a is the amount of garbage collected at each collection point, and a is taken as 300 kg (the expected full load weight of four 240-liter standard outdoor garbage bins).

[0090] Specific embodiment six: The mobile organic resource recovery equipment collection and operation point acquisition module acquires the mobile organic resource recovery equipment collection and operation points based on the area where the mobile organic resource recovery equipment is required to supplement the garbage processing capacity, the total number of mobile organic resource recovery equipment that needs to be deployed in the area where the mobile organic resource recovery equipment is required to supplement the garbage processing capacity, and the total number of points where the mobile organic resource recovery equipment is required to collect garbage, specifically:

[0091] S501, obtaining the spatial range of unused land types in the area where the organic resource recovery equipment needs to be moved to supplement the waste treatment capacity;

[0092] The types of unused land mentioned above are land other than agricultural land and construction land;

[0093] S502. To ensure that mobile small-scale equipment can be conveniently transported and operated through the road network, a 5-meter buffer zone is set for each road within the unused land area obtained in S501, and the buffer zone is used as the equipment selection site range;

[0094] S503. Based on the equipment site selection range obtained in S503, 1000 random points are randomly generated on the equipment site selection range map. Random points that are less than 500 meters away from water source protection areas, school areas, residential areas, and farmland are deleted. The remaining random points are trimmed to obtain mobile organic resource equipment collection and operation sites.

[0095] S504: Set the odor diffusion radius, draw a circle with the residential area as the center and the odor diffusion radius to obtain the odor diffusion range, collect and remove the mobile organic resource recovery equipment scattered within the odor diffusion range, and obtain the optional operation points:

[0096] Ammonia is the most common and most concentrated type of odor during the composting of domestic organic waste. To prevent the spread of ammonia during the operation of mobile small-scale composting equipment, the ammonia emission source intensity outside the composting membrane is used as the atmospheric pollution emission source intensity. Aerscreen software is used for simulation analysis to obtain the distribution pattern of ammonia concentration in the nearby range. The calculated simulated operation concentration is greater than the odor threshold of 1.138 mg / m 3 The odor diffusion radius is used to determine the reasonable distance between mobile small-scale composting equipment and residential areas:

[0097] The odor impact during the site selection process is considered by simulating the diffusion of ammonia, and the parameters are set as shown in Table 2:

[0098] Table 2

[0099] S505. Taking 30 km as the service radius R of the mobile miniaturized equipment, based on the service area analysis algorithm, select N1 points with the largest sum of the service ranges of the mobile organic resource recovery equipment from the optional operation points as the mobile organic resource recovery equipment operation points; S506. Remove the mobile organic resource recovery equipment operation points obtained in S505 from the optional operation points obtained in S503, obtain the remaining points as the collection optional points, and select N2 points with the largest sum of the collection ranges of the mobile organic resource recovery equipment from the collection optional points according to the collection radius r of the mobile organic resource recovery equipment to obtain the mobile organic resource recovery equipment collection points;

[0100] The collection radius of the organic resource recovery equipment is 5km;

[0101] Specific embodiment seven: The module for obtaining a transportation plan from a collection point to an operation point is used to obtain a transportation plan for mobile organic resource recovery equipment from a collection point to an operation point, specifically:

[0102] Using a multi-path transport optimization method with time windows (VRPTW), with the goal of minimizing the sum of transportation fuel costs (yuan / km) and personnel costs (yuan / hour), we calculated the lowest-cost transport plan for mobile organic resource recovery equipment from each collection point to the operation site. This completes the generation of a scheduling plan for mobile organic resource recovery equipment.

[0103] This embodiment is a mobile organic resource equipment scheduling optimization system based on buffer analysis. The specific processing flow is as follows, as shown in Figure 1:

[0104] Step 1: Use the maplocation tool and the geographic coordinate picking tool to determine the locations of existing large-scale organic waste treatment facilities, such as composting plants and anaerobic digestion plants. Use the MapLocation method to generate and save point feature vector shp files of each large-scale facility location with geographic coordinates and treatment scale.

[0105] Step 2: Obtain the administrative scope geographic file of the region, and use it to obtain a road network dataset. Speed ​​values ​​are assigned to the roads in the road network dataset to obtain the travel time of mobile organic resource equipment through each road in the road network dataset to each large facility point.

[0106] Step 3: Based on the travel time of each road in the road network dataset obtained in Step 2, the temporally accessible area and spatially accessible area of ​​the large-scale organic waste treatment facility point are obtained under a preset time threshold, thereby determining the area where mobile organic resource recovery equipment is required to supplement waste treatment capacity;

[0107] Step 4: Obtain the total number of mobile organic resource recovery equipment that needs to be deployed in the area where mobile organic resource recovery equipment is needed to supplement the waste treatment capacity, and the total number of points where mobile organic resource recovery equipment is needed to collect waste;

[0108] Step 5: Based on the areas where mobile organic resource recovery equipment is required to supplement waste treatment capacity obtained in step 3, the total number of mobile organic resource recovery equipment that needs to be deployed obtained in step 4, and the total number of points where mobile organic resource recovery equipment is required to collect waste, the collection and operation points of the mobile organic resource recovery equipment are obtained;

[0109] Step 6: Obtain a transportation plan for mobile organic resource equipment from the collection point to the operation point.

[0110] Example: To verify the beneficial effects of the present invention, the present invention was implemented in a city in East China as follows:

[0111] (1) The data on organic waste treatment facilities in the study area were obtained from the 2020 Greening and Urban Appearance Yearbook of City A, and the addresses and processing capacity data of 79 organic waste treatment facilities with a processing capacity greater than 5 tons were obtained. The longitude and latitude conversion was performed using the free online tool maplocation. The converted coordinate points are not necessarily accurate, and there are often situations such as multiple point superpositions, point area errors, and errors in the judgment of duplicate points. Therefore, the converted results were double-checked. Based on the actual addresses, relevant online news reports, combined with the Gaode map satellite images, Baidu map coordinate picking system, and Baidu coordinate system conversion WGS84 coordinate tool, the longitude and latitude data of large and medium-sized organic waste treatment facilities were obtained.

[0112] (2) This embodiment uses the S city road network dataset from the open source website OpenStreetMap. First, the repair geometry function in the ArcMap data management tool is used to repair geometric errors in the original data to avoid errors in subsequent calculations. Next, based on the fclass field attributes of the road network dataset, the road types that can be used for vehicle transportation are determined. For example, sidewalks, bicycle lanes, horse paths, etc. cannot be used for vehicle transportation, and the above traffic road data are deleted. In order to calculate the travel time of each road, it is necessary to assign speed values ​​to each type of road. The neighbor analysis function in the ArcMap analysis tool is used to find the nearest road near the facility point. Its main principle is to draw circles of different radii with each processed facility point as the center to find the nearest road point. After obtaining the nearest neighbor point, the point set to line tool is used to obtain the connecting road between each facility and the original road network, and determine whether the connecting road between each facility and the original road network exists in the diagram. For disconnected facilities, the ArcMap append tool is used to append them to the road network dataset. The processed road network data is shown in Figure 2.

[0113] (3) In the network analysis module, select Create Service Area Analysis and import the 72 organic waste treatment facilities as facility points. In the layer analysis settings, set the impedance to time and the cutoff value to 30 minutes to obtain the time accessibility of waste collection and treatment. In the layer analysis settings, set the impedance to length and the cutoff value to 30,000 meters to obtain the distance accessibility of waste collection and treatment. The direct transportation time accessibility and distance accessibility of the organic waste treatment facilities are shown in Figures 3 and 4.

[0114] (4) Developing the Aerscreen model, using ammonia diffusion simulation as an example, considers the impact of odor on the site selection process for mobile miniaturized patrol equipment. In an open environment, odor concentration decreases rapidly with increasing distance. The initial odor concentration in the rural scene is slightly higher than that in the urban scene, at 7.711 μg / m3 and 5.259 μg / m3, respectively. However, in both urban and rural scenes, the odor concentration is far below the odor threshold of 1.138 mg / m3 and far below the ammonia limit of 0.2 mg / m3 in the odorous gas emission standard. Therefore, the impact of odor can be ignored during the site selection process.

[0115] (5) Carry out multi-objective site selection area delineation based on GIS buffer analysis. According to the requirements of the Urban Environmental Sanitation Facilities Planning Standard (GB / T 50337-2018) for composting facilities, the land boundary of the composting facility should be no less than 0.5 km away from urban and rural residential land. At the same time, according to the requirements of the Food Waste Treatment Facility Specification (CJJ 184-2012), it is necessary to avoid environmentally sensitive areas during the site selection process, establish a 500m buffer range for various environmental sensitive areas, and establish a 5m buffer range around the road network to clearly define the areas where mobile miniaturized equipment can be patrolled and dispatched. The collection points and operation points are obtained through the location analysis algorithm with the maximum service range.

[0116] (6) Based on the VRPTW algorithm and the obtained road network, the optimal scheduling scheme for mobile miniaturized equipment from multiple collection points to multiple operation points was calculated, achieving low environmental impact and low-cost scheduling optimization for mobile miniaturized equipment.

Claims

1. A mobile organic resource utilization equipment scheduling optimization system based on buffer analysis, characterized in that the system includes: a large facility location acquisition module, a travel time acquisition module, a mobile organic resource utilization equipment layout area acquisition module, a mobile organic resource utilization equipment quantity and garbage collection point quantity acquisition module, a mobile organic resource utilization equipment collection and operation point acquisition module, and a transportation plan acquisition module from collection points to operation points; the large facility location acquisition module is used to acquire the point element vector file of the existing large-scale organic waste treatment facility locations, and send the point element vector file of the existing large-scale organic waste treatment facility locations to the travel time acquisition module; the travel time acquisition module, based on the administrative geography file of the research area and the large-scale organic waste treatment facility locations, acquires the travel time of the mobile organic resource utilization equipment from any location to each large facility location, and sends the travel time of the mobile organic resource utilization equipment from any location to each large facility location to the mobile organic resource utilization equipment layout area acquisition module; the mobile organic resource utilization equipment layout area acquisition module, based on the travel time of the mobile organic resource utilization equipment from any location to each large facility location, acquires the time reachable area range and space reachable area range of the large-scale organic waste treatment facility locations under the preset time threshold, so as to obtain the area that needs to be supplemented with garbage treatment capacity by the mobile organic resource utilization equipment, and send the area that needs to be supplemented with garbage treatment capacity by the mobile organic resource utilization equipment to the mobile organic resource utilization equipment quantity and garbage collection point quantity acquisition module and the mobile organic resource utilization equipment collection and operation point acquisition module; the mobile organic resource utilization equipment quantity and garbage collection point quantity acquisition module is used to acquire the total number of mobile organic resource utilization equipment to be deployed in the area that needs to be supplemented with garbage treatment capacity by the mobile organic resource utilization equipment and the total number of points that need to be collected by the mobile organic resource utilization equipment, and send the total number of mobile organic resource utilization equipment to be deployed in the area that needs to be supplemented with garbage treatment capacity by the mobile organic resource utilization equipment and the total number of points that need to be collected by the mobile organic resource utilization equipment to the mobile organic resource utilization equipment collection and operation point acquisition module; the mobile organic resource utilization equipment collection and operation point acquisition module, based on the area that needs to be supplemented with garbage treatment capacity by the mobile organic resource utilization equipment, the total number of mobile organic resource utilization equipment to be deployed in the area that needs to be supplemented with garbage treatment capacity by the mobile organic resource utilization equipment, and the total number of points that need to be collected by the mobile organic resource utilization equipment, acquires the mobile organic resource utilization equipment collection and operation points, and sends the mobile organic resource utilization equipment collection and operation points to the transportation plan acquisition module from collection points to operation points; the transportation plan acquisition module from collection points to operation points is used to acquire the transportation plan of the mobile organic resource utilization equipment from the collection points to the operation points.

2. The mobile organic resource utilization equipment scheduling optimization system based on buffer analysis according to claim 1, characterized in that: the large facility location acquisition module is used to acquire the point element vector file of the existing large-scale organic waste treatment facility locations, specifically: S101. Obtain the locations of large-scale organic waste treatment facilities in the research area; The large-scale organic waste treatment facilities include: composting plants, anaerobic digestion treatment plants; S102. Use the MapLocation method to process the existing locations of large-scale organic waste treatment facilities to obtain the point feature vector file of the large-scale organic waste facility locations.

3. According to a mobile organic resource utilization equipment scheduling optimization system based on buffer analysis described in claim 2, It is characterized in that: The travel time acquisition module obtains the travel time of the mobile organic resource utilization equipment from any location to each large-scale facility location based on the administrative geographical file of the research area and the locations of large-scale organic waste treatment facilities. Specifically: S201. Obtain the administrative scope geographical file of the research area, and use the administrative scope geographical file of the research area to obtain the road network dataset. Specifically: S201-1. Obtain the administrative scope geographical file of the research area, and clip the OpenStreetMap road network vector data in the administrative scope geographical file of the research area. Use the repair geometry function in the ArcMap data management tool to repair the incorrect data in the OpenStreetMap road network vector data to obtain the repaired OpenStreetMap road network vector data; The incorrect data in the OpenStreetMap road network vector data includes: empty geometry, short line segments, non-closed loops; S201-2. Check the connectivity of the road network for the repaired OpenStreetMap road network vector data, and use the feature to point tool in ArcMap to disconnect the intersection endpoints of the unconnected road network to obtain the processed OpenStreetMap road network vector data; S201-3. Combine the arterial roads and motorway lane vector data in the processed OpenStreetMap road network vector data to form a road network dataset; S202. Assign speed values to each type of road in the road network dataset to obtain the travel time of the mobile organic resource utilization equipment from any point through each road in the road network dataset to each large-scale facility location.

4. According to a mobile organic resource utilization equipment scheduling optimization system based on buffer analysis described in claim 3, It is characterized in that: The step of assigning speed values to each type of road in the road network dataset in S202 to obtain the travel time of the mobile organic resource utilization equipment from any point through each road in the road network dataset to each large-scale facility location is specifically: S202-1. Assign the average driving speed of each road type in the typical urban roads to the average speed value of each road type in the road network dataset; The typical urban roads are roads with average driving speeds of 70 km / h, 50 km / h, 35 km / h, and 30 km / h in sequence. S202-2. Project the road network dataset with the average speed values assigned onto the CGCS2000_120E coordinate system, thereby calculating the planar length of each road segment, and dividing the planar length of each road segment by the average speed value of the current road type to obtain the travel time of each road segment, and finally obtaining the travel time of the mobile organic resource treatment equipment from any point to each large facility point.

5. A mobile organic resource treatment equipment scheduling optimization system based on buffer analysis according to claim 4, characterized in that: The mobile organic resource treatment equipment layout area acquisition module obtains the time reachable area range and the space reachable area range of the large organic waste treatment facility points under a preset time threshold based on the travel time of the mobile organic resource treatment equipment from any point to each large facility point, thereby obtaining the area where the mobile organic resource treatment equipment is required to supplement the waste treatment capacity, specifically: S301. Obtain the time reachable area range and the space reachable area range of the large organic waste treatment facility points under a preset time threshold based on the travel time of the mobile organic resource treatment equipment from any point to each large facility point, specifically: First, use the network analysis module of ArcMap software and the evolutionary particle swarm algorithm based on Python to obtain the time reachable area range of the large organic waste treatment facility points under a preset time threshold by using the travel time of the mobile organic resource treatment equipment to each large facility point; The preset time threshold is the preset time to reach the large organic waste treatment facility point; Then, the service area analysis module of ArcMap software obtains the space reachable area range of the large organic waste treatment facility points under a preset space threshold; The preset space threshold is the preset distance from the large organic waste treatment facility point; S302. Obtain the overlapping range of the time reachable area range of the large organic waste treatment facility points under a preset time threshold and the space reachable area range of the large organic waste treatment facility points under a preset space threshold. The area outside the overlapping range is the area where the mobile organic resource treatment equipment is required to supplement the waste treatment capacity.

6. A mobile organic resource treatment equipment scheduling optimization system based on buffer analysis according to claim 5, characterized in that: The total number of mobile organic resource utilization equipment to be deployed in the area where the mobile organic resource utilization equipment is needed to supplement the waste treatment capacity is specifically as follows: Wherein, N1 is the total number of mobile organic resource treatment equipment to be arranged in the area where the mobile organic resource treatment equipment is required to supplement the waste treatment capacity, Q is the total organic resource treatment load, and q is the daily treatment load of the mobile organic resource treatment equipment.

7. A mobile organic resource treatment equipment scheduling optimization system based on buffer analysis according to claim 6, characterized in that: The total number of points where the organic resource treatment equipment needs to collect garbage is specifically as follows: Wherein, N2 is the total number of points where the mobile organic resource treatment equipment is required to collect garbage, and a is the amount of garbage collected at each collection point.

8. A mobile organic resource treatment equipment scheduling optimization system based on buffer analysis according to claim 7, characterized in that: The total organic resource treatment load Q, specifically: Among them, P is the population heat density of the area where mobile organic resource utilization equipment is needed to supplement the garbage treatment capacity, M is the total amount of organic garbage in the area where mobile organic resource utilization equipment is needed to supplement the garbage treatment capacity in the most recent year, and n is the total population of the area where mobile organic resource utilization equipment is needed to supplement the garbage treatment capacity.

9. A mobile organic resource utilization equipment scheduling optimization system based on buffer analysis according to claim 8, characterized in that: The mobile organic resource utilization equipment collection and operation point acquisition module acquires the mobile organic resource utilization equipment collection and operation points based on the area where mobile organic resource utilization equipment is needed to supplement the garbage treatment capacity, the total number of mobile organic resource utilization equipment to be deployed in the area where mobile organic resource utilization equipment is needed to supplement the garbage treatment capacity, and the total number of points where mobile organic resource utilization equipment is needed to collect garbage. Specifically: S501. Acquire the spatial range of unused land types in the area where mobile organic resource utilization equipment is needed to supplement the garbage treatment capacity; S502. Set a buffer zone with a preset width for each road within the spatial range of the unused land type obtained in S501, and use the buffer zone as the equipment selection range; S503. Randomly generate a preset number of random points within the equipment selection range, delete the random points whose distance from the key living factors is less than the preset first distance, and the remaining random points are the mobile organic resource utilization equipment collection and operation selection points; The key living factors include: water source protection areas, school areas, residential areas, and farmland; S504. Set the odor diffusion radius, use the residential area as the center of the circle and make a circle according to the odor diffusion radius to obtain the odor diffusion range, and remove the mobile organic resource utilization equipment collection and operation selection points within the odor diffusion range to obtain the operation optional points; The odor is ammonia; the odor diffusion radius is set according to the olfactory threshold, and the radius greater than the preset olfactory threshold range is used as the odor diffusion radius; S505. Set the service radius R of the mobile miniaturized equipment, and select N1 points with the largest sum of service ranges of the mobile organic resource utilization equipment from the operation optional points based on the service area analysis algorithm as the mobile organic resource utilization equipment operation points; S506. Remove the mobile organic resource utilization equipment operation points obtained in S505 from the operation optional points obtained in S503 to obtain the collection optional points, and select N2 points with the largest sum of collection ranges of the mobile organic resource utilization equipment from the collection optional points according to the collection radius r of the mobile organic resource utilization equipment to obtain the mobile organic resource utilization equipment collection points; Among them, R is much larger than r.

10. A mobile organic resource utilization equipment scheduling optimization system based on buffer analysis according to claim 9, characterized in that: The collection point to operation point transportation plan acquisition module is used to acquire the transportation plan of the mobile organic resource utilization equipment from the collection point to the operation point. Specifically: Adopt the multi-path transportation optimization method with time windows, and take the lowest sum of transportation fuel costs and population costs as the path optimization goal to obtain the transportation plan of the mobile organic resource utilization equipment from each collection point to the operation point.

Images