Site selection method and service platform for closed-loop kitchen waste resource treatment facilities

Abstract

The present application relates to a site selection method and service platform for a closed-loop treatment facility for resource utilization of kitchen waste, the method comprising: determining the daily production of kitchen waste corresponding to each catering center, and determining the total daily production of kitchen waste corresponding to the multiple catering centers, based on the total production of kitchen waste of multiple catering centers within a set site selection period; after determining the first black soldier fly demand required to process the total daily production of kitchen waste, determining the first black soldier fly breeding scale corresponding to each candidate black soldier fly treatment point under the corresponding NIMBY effect parameter; based on the first black soldier fly breeding scale and the first black soldier fly demand, selecting at least one alternative black soldier fly treatment point from multiple candidate black soldier fly treatment points, and after calculating the total daily operating costs corresponding to the alternative black soldier fly treatment point and the associated multiple catering centers, selecting a target black soldier fly treatment point from at least one alternative black soldier fly treatment point based at least on the total daily operating cost to obtain a site selection result.

Description

Technical Field

[0001] The present application relates to the technical field of waste classification, and in particular to a site selection method and service platform for a closed-loop kitchen waste resource processing facility. Background Art

[0002] In the daily operation of the catering center, the generation of kitchen waste is inevitable. As a new type of kitchen waste treatment method, the black soldier fly biological treatment model can make resource utilization of kitchen waste. In the closed-loop supply chain of kitchen waste resource utilization, kitchen waste is transported to a special black soldier fly treatment center. The mature larvae generated by black soldier flies after processing kitchen waste are excellent fish feed. After the fish eat the black soldier fly larvae and grow up, they can be sent to the catering center at the beginning of the catering chain as food, forming a process of resource recycling.

[0003] In the related technology, the black soldier fly treatment center is planned to be built to utilize kitchen waste as a resource. However, the site selection plans for resource supply chain facilities such as black soldier fly treatment centers in the related technology rarely take into account economic performance and environmental impact. They generally consider whether the cost required for site selection is optimal, resulting in poor kitchen waste treatment effect, inability to meet demand, and high construction costs. At the same time, in the site selection plan that does not consider the environmental impact, the NIMBY effect of the site selection result is not good, which affects the surrounding environment and has poor environmental protection.

[0004] At present, the site selection plan for supply chain facilities for the resource utilization of kitchen waste in related technologies has not taken into account the economic and environmental impacts, resulting in poor kitchen waste treatment effects and NIMBY effects, and no effective solution has been proposed. Summary of the invention

[0005] The embodiments of the present application provide a site selection method and service platform for a closed-loop kitchen waste resource processing facility, as well as a device and a storage medium, so as to at least solve the problem of poor kitchen waste processing effect and NIMBY effect due to the failure to comprehensively consider the economic and environmental impacts in the solution of the site selection of supply chain facilities for kitchen waste resource utilization in the related art.

[0006] In the first aspect, an embodiment of the present application provides a site selection method for a closed-loop treatment facility for resource utilization of kitchen waste, comprising: based on the total production of kitchen waste of multiple catering centers within a set site selection period, determining the daily production of kitchen waste corresponding to each of the catering centers, and determining the total daily production of kitchen waste corresponding to the multiple catering centers; after determining the first black soldier fly demand required to process the total daily production of kitchen waste, determining the first black soldier fly breeding scale corresponding to each candidate black soldier fly treatment point under the corresponding NIMBY effect parameter, wherein the NIMBY effect parameter is used to characterize the satisfaction of residents in the target area with the black soldier fly breeding scale and construction location of the candidate black soldier fly treatment point in the target area, and the first The scale of black soldier fly breeding is determined according to the black soldier fly breeding box associated with the candidate black soldier fly treatment point; based on the first black soldier fly breeding scale and the first black soldier fly demand, at least one alternative black soldier fly treatment point is selected from multiple candidate black soldier fly treatment points, and after calculating the total daily operating costs corresponding to the alternative black soldier fly treatment point and the associated multiple catering centers, a target black soldier fly treatment point is selected from at least one of the alternative black soldier fly treatment points based at least on the total daily operating costs to obtain a site selection result, wherein the site selection result includes all the selected target black soldier fly treatment points, the first black soldier fly breeding scale of each target black soldier fly treatment point under the target NIMBY effect parameters and the construction location.

[0007] In a second aspect, an embodiment of the present application provides a site selection device for a closed-loop kitchen waste resource treatment facility, comprising:

[0008] A determination module, for determining the daily production of kitchen waste corresponding to each catering center based on the total production of kitchen waste of the multiple catering centers within a set site selection period, and determining the total daily production of kitchen waste corresponding to the multiple catering centers;

[0009] A processing module, for determining, after determining the first black soldier fly demand required for processing the daily total amount of kitchen waste, a first black soldier fly breeding scale corresponding to each candidate black soldier fly treatment point under a corresponding NIMBY effect parameter, wherein the NIMBY effect parameter is used to characterize the satisfaction of residents in a target area with the black soldier fly breeding scale and construction location of the candidate black soldier fly treatment point in the target area, and the first black soldier fly breeding scale is determined according to the black soldier fly breeding box associated with the candidate black soldier fly treatment point;

[0010] A site selection module, for selecting at least one candidate black soldier fly treatment point from a plurality of the candidate black soldier fly treatment points based on the first black soldier fly breeding scale and the first black soldier fly demand, and after calculating the total daily operating costs corresponding to the candidate black soldier fly treatment point and the associated plurality of the catering centers, selecting a target black soldier fly treatment point from at least one of the candidate black soldier fly treatment points at least based on the total daily operating costs, to obtain a site selection result, wherein the site selection result includes all the selected target black soldier fly treatment points, the first black soldier fly breeding scale of each target black soldier fly treatment point under the target NIMBY effect parameter, and the construction location

[0011] In the third aspect, an embodiment of the present application provides a service platform, including a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein when the processor executes the computer program, the steps of the method for site selection of a closed-loop treatment facility for resource utilization of food waste as described in the first aspect are implemented.

[0012] In a fourth aspect, an embodiment of the present application provides a storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the method for site selection of a closed-loop kitchen waste resource processing facility as described in the first aspect above.

[0013] Compared with the related art, the site selection method and service platform for the closed-loop treatment facility for resource utilization of kitchen waste provided in the embodiment of the present application determine the daily output of kitchen waste corresponding to each catering center and the total daily output of kitchen waste corresponding to multiple catering centers by adopting the total output of kitchen waste of multiple catering centers within the set site selection period; after determining the first black soldier fly demand required to process the total daily output of kitchen waste, determine the first black soldier fly breeding scale corresponding to each candidate black soldier fly treatment point under the corresponding NIMBY effect parameter, the NIMBY effect parameter is used to characterize the satisfaction of residents in the target area with the black soldier fly breeding scale and construction location of the candidate black soldier fly treatment point in the target area, the first black soldier fly breeding scale is determined according to the black soldier fly breeding box associated with the candidate black soldier fly treatment point; based on the first black soldier fly breeding scale and the first black soldier fly demand, a plurality of candidate black soldier fly treatment points are selected from each other. In the process, at least one alternative black soldier fly treatment point is selected, and after calculating the total daily operating costs corresponding to the alternative black soldier fly treatment point and the associated multiple catering centers, a target black soldier fly treatment point is selected from at least one alternative black soldier fly treatment point at least based on the total daily operating costs to obtain a site selection result, which includes all selected target black soldier fly treatment points, the first black soldier fly breeding scale and construction position of each target black soldier fly treatment point under the target NIMBY effect parameter, and combined with the characteristics of the closed-loop supply chain of kitchen waste resource utilization, a multi-objective objective function is established to optimize the site selection problem of the facility, and solves the problem of poor kitchen waste treatment effect and NIMBY effect caused by the supply chain facility site selection scheme for kitchen waste resource utilization in related technologies due to the lack of comprehensive consideration of economic and environmental impacts, thereby achieving maximum resource utilization and minimum environmental impact, and ensuring the harmonious coexistence and long-term benefits of the treatment facilities and the environment.

[0014] Details of one or more embodiments of the present application are set forth in the following drawings and description to make other features, objects, and advantages of the present application more readily apparent. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0016] Figure 1 It is a hardware structure block diagram of a terminal of a method for selecting a site for a closed-loop kitchen waste resource processing facility according to an embodiment of the present application;

[0017] Figure 2 It is a flow chart of a method for selecting a site for a closed-loop kitchen waste resource treatment facility according to an embodiment of the present application;

[0018] Figure 3It is a structural block diagram of a site selection device for a closed-loop kitchen waste resource processing facility according to an embodiment of the present application. DETAILED DESCRIPTION

[0019] In order to make the purpose, technical solutions and advantages of the present application clearer, the present application is described and illustrated below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not intended to limit the present application. Based on the embodiments provided in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present application. In addition, it can also be understood that although the efforts made in this development process may be complex and lengthy, for ordinary technicians in the field related to the contents disclosed in the present application, some changes such as design, manufacturing or production based on the technical contents disclosed in the present application are only conventional technical means, and should not be understood as insufficient contents disclosed in the present application.

[0020] Reference to "embodiments" in this application means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various locations in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those of ordinary skill in the art that the embodiments described in this application may be combined with other embodiments without conflict.

[0021] Unless otherwise defined, the technical terms or scientific terms involved in this application should be understood by people with ordinary skills in the technical field to which this application belongs. The words "one", "a", "a", "the" and the like involved in this application do not indicate a quantitative limitation and may represent the singular or plural. The terms "including", "comprising", "having" and any of their variations involved in this application are intended to cover non-exclusive inclusions; for example, a process, method, system, product or device that includes a series of steps or modules (units) is not limited to the listed steps or units, but may also include unlisted steps or units, or may also include other steps or units inherent to these processes, methods, products or devices. The "multiple links" involved in this application refer to links greater than or equal to two. "And / or" describes the association relationship of associated objects, indicating that there may be three relationships, for example, "A and / or B" may represent: A exists alone, A and B exist at the same time, and B exists alone. The terms "first", "second", "third" and the like involved in this application are only used to distinguish similar objects and do not represent a specific ordering of objects.

[0022] Before describing the site selection method in the embodiment of the present application, the relevant technologies and facilities involved in the present application are described first.

[0023] In the closed-loop supply chain of kitchen waste resource utilization based on the black soldier fly biological treatment model, the catering center, black soldier fly treatment center and fish-vegetable symbiosis system are interrelated and collaborative key elements. The operation process of the entire closed-loop supply chain is as follows:

[0024] (1) Food waste collection and transportation stage

[0025] Catering center waste recycling: As the main source of kitchen waste, the catering center first conducts preliminary classification and collection of waste. The key to this link is to ensure the purity of the kitchen waste and reduce the mixing of other impurities. The collected kitchen waste is transported to the black soldier fly treatment center by special garbage transport vehicles.

[0026] (2) Black soldier fly larvae digesting kitchen waste

[0027] Pretreatment of kitchen waste: First, the collected kitchen waste is pretreated, including crushing, removing impurities, and adjusting the moisture content, so as to break the waste into a form suitable for black soldier flies to feed on;

[0028] Larvae introduction: The pre-treated kitchen waste is mixed with sawdust and other auxiliary materials and spread in the waste treatment box or breeding pond to provide a suitable growth environment for black soldier fly larvae. Then the larvae after hatching from the eggs of black soldier fly are introduced into the kitchen waste. During the seven-day larval growth period, the black soldier fly larvae continuously feed on the kitchen waste and convert the waste into their own biomass with their efficient biological conversion ability, thus achieving the effective digestion and resource utilization of kitchen waste.

[0029] Breeding and larval growth: During the breeding process, it is necessary to maintain appropriate humidity and temperature, and to ventilate and disinfect the air to ensure the normal growth and reproduction of black soldier fly larvae. After a period of growth and development, the larvae grow into mature black soldier fly larvae. At the same time, the excrement produced by the larvae during feeding is also a valuable organic fertilizer resource;

[0030] Feed and insect separation and resource recycling: After the breeding process, the mature larvae and insect feces of black soldier flies are collected and separated. The mature larvae can be used as high-protein feed for breeding fish and other animals, while the insect feces can be processed as high-quality organic fertilizer for soil improvement and plant growth.

[0031] (3) Mature larvae are transported to the aquaponics system to feed fish

[0032] Larvae collection and transportation: Mature black soldier fly larvae are collected and transported to the aquaponics system via specialized transport vehicles;

[0033] Feeding fish: In the aquaponics system, black soldier fly larvae are used as fish feed. After the fish ingest the larvae, they are converted into fish meat, thus realizing the indirect conversion and utilization of kitchen waste.

[0034] (4) The stage where fish products are returned to the catering center

[0035] Fish farming and harvesting: In the aquaponics system, fish are provided with sufficient feed and a good growth environment, and after a period of farming, they meet the standards for harvesting; Return to the catering center: The harvested fish are sent to the catering center and used as food for people to eat.

[0036] The method embodiment provided in this embodiment can be executed in a terminal, a computer or a similar computing device. Taking running on a terminal as an example, Figure 1 1 is a hardware structure block diagram of a terminal of a method for selecting a site for a closed-loop kitchen waste resource processing facility according to an embodiment of the present application. Figure 1 As shown, the terminal may include one or more ( Figure 1 Only one is shown in the figure) a processor 102 (the processor 102 may include but is not limited to a processing device such as a microprocessor MCU or a programmable logic device FPGA) and a memory 104 for storing data. Optionally, the terminal may also include a transmission device 106 and an input / output device 108 for communication functions. It can be understood by those skilled in the art that Figure 1 The structure shown is for illustration only and does not limit the structure of the above terminal. Figure 1 More or fewer components as shown, or with Figure 1 Different configurations shown.

[0037] The memory 104 can be used to store computer programs, for example, software programs and modules of application software, such as the computer program corresponding to the site selection method of the closed-loop treatment facility for resource utilization of kitchen waste in the embodiment of the present invention. The processor 102 executes various functional applications and data processing by running the computer program stored in the memory 104, that is, to implement the above method. The memory 104 may include a high-speed random access memory, and may also include a non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some instances, the memory 104 may further include a memory remotely arranged relative to the processor 102, and these remote memories may be connected to the terminal via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0038] The transmission device 106 is used to receive or send data via a network. The specific example of the above network may include a wireless network provided by a communication provider of the terminal. In one example, the transmission device 106 includes a network adapter (Network Interface Controller, referred to as NIC), which can be connected to other network devices through a base station so as to communicate with the Internet. In one example, the transmission device 106 can be a radio frequency (RF) module, which is used to communicate with the Internet wirelessly.

[0039] This embodiment provides a method for selecting a site for a closed-loop kitchen waste resource processing facility running on the above terminal. Figure 2 is a flow chart of a method for selecting a site for a closed-loop kitchen waste resource treatment facility according to an embodiment of the present application, such as Figure 2 As shown, the process includes the following steps:

[0040] Step S201, based on the total production of kitchen waste of multiple catering centers within a set site selection period, determine the daily production of kitchen waste corresponding to each catering center, and determine the total daily production of kitchen waste corresponding to multiple catering centers.

[0041] In this embodiment, the total amount of kitchen waste generated by the catering center within the site selection period (the next 700 days) is predicted, and based on the total amount of kitchen waste, the location, quantity and corresponding scale of the target black soldier fly treatment point are determined from multiple candidate black soldier fly treatment points (black soldier fly treatment centers); in some optional implementation schemes, a prediction model based on a long short-term memory network LSTM is used to predict the future amount of kitchen waste for multiple known catering centers; in this embodiment, the daily output of kitchen waste that is expected to be generated by each catering center in the future is determined based on the total amount of kitchen waste predicted in each restaurant and the number of days corresponding to the site selection period. After determining the amount of kitchen waste that is expected to be generated by each catering center in the future, the breeding scale required for the corresponding black soldier fly treatment point to biologically treat the kitchen waste can be determined.

[0042] Step S202, after determining the first black soldier fly demand required for processing the daily total amount of kitchen waste, determine the first black soldier fly breeding scale corresponding to each candidate black soldier fly treatment point under the corresponding NIMBY effect parameter, wherein the NIMBY effect parameter is used to characterize the satisfaction of residents in the target area with the black soldier fly breeding scale and construction location of the candidate black soldier fly treatment point in the target area, and the first black soldier fly breeding scale is determined based on the black soldier fly breeding box associated with the candidate black soldier fly treatment point.

[0043] In this embodiment, the target black soldier fly treatment point selected and planned needs to be close to the catering center so as to collect and treat the kitchen waste in time, that is, the scale of the expected black soldier fly treatment point is large enough to treat as much kitchen waste as possible. At the same time, it is necessary to consider the odor and noise that may be generated in the process of treating the kitchen waste, as well as the impact of the corresponding black soldier fly treatment point on the surrounding residents, that is, it is necessary to consider the scale of the black soldier fly treatment point under a moderate NIMBY effect. In this embodiment, by determining the black soldier fly breeding scale (that is, the first black soldier fly breeding scale) corresponding to each candidate black soldier fly treatment point under different NIMBY effect parameters, the black soldier fly breeding scale of each candidate black soldier fly treatment point is determined. Black soldier fly breeding scale) so that according to the black soldier fly breeding scales corresponding to the multiple candidate black soldier fly processing points, the kitchen waste generated by the multiple catering centers can be processed by breeding mature black soldier fly larvae, thereby realizing the confirmation of the site selection of the black soldier fly processing points (that is, the construction location, the construction quantity and the breeding scale); in this embodiment, the first black soldier fly demand represents the demand for black soldier fly eggs. By using kitchen waste as nutrients, black soldier fly eggs are cultivated and a certain amount of mature black soldier fly larvae are generated. The first black soldier fly demand reflects the breeding scale that the black soldier fly processing point needs to meet, and also reflects the amount of kitchen waste that needs to be processed by all catering centers.

[0044] Step S203, based on the first black soldier fly breeding scale and the first black soldier fly demand, select at least one alternative black soldier fly treatment point from multiple candidate black soldier fly treatment points, and after calculating the total daily operating costs corresponding to the alternative black soldier fly treatment points and the associated multiple catering centers, select a target black soldier fly treatment point from at least one alternative black soldier fly treatment point based on at least the total daily operating costs to obtain a site selection result, wherein the site selection result includes all selected target black soldier fly treatment points, the first black soldier fly breeding scale and construction location of each target black soldier fly treatment point under the target NIMBY effect parameters.

[0045] In this embodiment, by determining the first black soldier fly breeding scale corresponding to each candidate black soldier fly treatment point under different NIMBY effect parameters, and then coordinating the first black soldier fly breeding scales corresponding to multiple candidate black soldier fly treatment points, and aiming to breed mature black soldier fly larvae corresponding to the first black soldier fly demand, the corresponding candidate black soldier fly treatment point planning is determined, and the planning includes at least one candidate black soldier fly treatment point, for example: when the total number of breeding boxes corresponding to the breeding scale of breeding mature black soldier fly larvae corresponding to the first black soldier fly demand is M, and the first black soldier fly breeding scale of the candidate black soldier fly treatment point is The number of breeding boxes corresponding to the breeding scale is n, and n represents different values. When M can be obtained by summing up multiple n, the candidate fly treatment points corresponding to the n participating in the summation belong to the corresponding planning, that is, belong to at least one selected candidate black soldier fly treatment point; in the planning process of determining the corresponding candidate black soldier fly treatment point, the corresponding first black soldier fly breeding scale is determined by taking the selection of the parameter that minimizes the NIMBY effect as the goal; at the same time, the corresponding first black soldier fly breeding scale is determined by taking the minimum difference between the kitchen waste treatment amount corresponding to the first black soldier fly breeding scale and the kitchen waste treatment amount corresponding to the first black soldier fly demand as the goal. The scale of fly breeding, for example: the food waste to be processed generated by catering center 1 is x tons (corresponding to the first black soldier fly demand 2), and the first black soldier fly breeding scale corresponding to the black soldier fly treatment point (mapping a NIMBY effect parameter) can process y tons of food waste. The first black soldier fly breeding scale that can minimize the value of yx is the expected black soldier fly breeding scale of the corresponding black soldier fly treatment point; at the same time, the difference between the breeding amount of black soldier flies corresponding to the first black soldier fly demand and the breeding amount of black soldier flies corresponding to the first black soldier fly breeding scale (the breeding amount that can be bred) is minimized. As the goal, determine the corresponding first black soldier fly breeding scale, for example: the black soldier fly processing point produces W kilograms of mature black soldier fly larvae corresponding to the first black soldier fly demand, and the black soldier fly breeding box corresponding to the first black soldier fly breeding scale of the black soldier fly processing point is m, and the mature black soldier fly larvae produced by each black soldier fly breeding box are (mapping a certain amount of kitchen waste processing) U kilograms. The mature black soldier fly larvae cultured in n black soldier fly breeding boxes (n<m) are nU kilograms. The first black soldier fly breeding scale that can minimize the value of W-nU is the expected black soldier fly breeding scale of the corresponding black soldier fly processing point.

[0046] In this embodiment, after determining a preliminary site selection plan including at least one alternative black soldier fly treatment point, a site selection plan with optimal operating costs is determined based on the daily operating costs corresponding to each alternative black soldier fly treatment point and the associated multiple catering centers in each preliminary site selection plan, that is, the target black soldier fly treatment point is obtained, and the target black soldier fly treatment point includes at least one candidate black soldier fly treatment point; in this embodiment, the daily operating cost includes at least the construction cost and related transportation costs of the corresponding black soldier fly treatment point, and the construction cost includes the fixed construction cost of the black soldier fly treatment point (for example: site rental, site water and electricity costs, factory building costs) and the construction cost corresponding to the breeding box; the related transportation costs include the transportation cost of transporting kitchen waste from the catering center and the transportation cost of transporting mature black soldier fly larvae to the next corresponding node. , the transportation cost of transporting the eggs and auxiliary materials (for example, sawdust) required for breeding mature black soldier fly larvae to the black soldier fly processing point, and the various transportation costs are based on the location information of the black soldier fly processing point and auxiliary nodes (for example, catering centers, egg factories, auxiliary material factories) and other nodes (receiving points for mature black soldier fly larvae), the transportation distance is determined, and the corresponding transportation cost is calculated; in this embodiment, by calculating the daily operating cost and selecting the site selection plan with the optimal operating cost, all black soldier fly processing points configured in the corresponding site selection plan are the target black soldier fly processing points corresponding to the target site selection result, the first black soldier fly breeding scale of each black soldier fly processing point corresponds to the first black soldier fly breeding scale of the target black soldier fly processing point in the site selection result under the target NIMBY effect parameter, and the location information of each black soldier fly processing point is the constructed location in the site selection result.

[0047] It should be noted that, in this embodiment, the transportation cost of the catering center and other transportation nodes to the corresponding black soldier fly treatment point is minimized. After the target black soldier fly treatment point is determined, the catering center and other transportation nodes (for example, insect egg factory, auxiliary material factory, fertilizer factory) associated with the target black soldier fly treatment point are also determined accordingly. In this way, when the site selection planning of the black soldier fly treatment point is realized, the belonging relationship of the catering center and other auxiliary nodes is also planned and confirmed. For example: when the daily operating cost corresponding to the black soldier fly treatment point 1 of the catering center 1 and the catering center 2 participating in the calculation is the lowest, it means that the catering center 1 and the catering center 2 belong to the black soldier fly treatment point 1, that is, the kitchen waste generated by the catering center 1 and the catering center 2 needs to be transported to the black soldier fly treatment point 1 for processing.

[0048] Through the above steps S201 to S203, the daily output of kitchen waste corresponding to each catering center is determined based on the total output of kitchen waste of multiple catering centers within the set site selection period, and the total daily output of kitchen waste corresponding to multiple catering centers is determined; after determining the first black soldier fly demand required to process the total daily output of kitchen waste, the first black soldier fly breeding scale corresponding to each candidate black soldier fly treatment point under the corresponding NIMBY effect parameter is determined, the NIMBY effect parameter is used to characterize the satisfaction of residents in the target area with the black soldier fly breeding scale and construction location of the candidate black soldier fly treatment point in the target area, the first black soldier fly breeding scale is determined according to the black soldier fly breeding box associated with the candidate black soldier fly treatment point; based on the first black soldier fly breeding scale and the first black soldier fly demand, at least one candidate black soldier fly treatment point is selected from multiple candidate black soldier fly treatment points. The method adopts a multi-objective objective function to optimize the site selection problem of the facility, and solves the problem that the site selection scheme for the supply chain facility site selection of the resource utilization of kitchen waste is not considered comprehensively in the economic and environmental impacts, resulting in poor kitchen waste treatment effect and NIMBY effect, thereby maximizing the utilization of resources and minimizing the impact on the environment, and ensuring the harmonious coexistence and long-term benefits of the treatment facilities and the environment.

[0049] In some of the embodiments, after obtaining the site selection result, the following steps are further performed:

[0050] Step 21, obtaining first target information of multiple candidate aquaponics systems, wherein the first target information includes first location information and prepared fish pond information, and the prepared fish pond information is used to characterize the fish production scale of the candidate aquaponics system.

[0051] In the present embodiment, the location, quantity and corresponding scale of the target aquaponics system are determined from multiple candidate aquaponics systems according to the amount of mature black soldier fly larvae cultured at the target black soldier fly treatment point; in the present embodiment, after the corresponding target aquaponics system is determined, the name of the target aquaponics system will map the corresponding first target location, so as to determine the construction location of the corresponding aquaponics system; in the present embodiment, the location information of the candidate aquaponics system is known, and when the corresponding candidate aquaponics system is determined as the target aquaponics system (that is, it is determined to construct a fish pond symbiotic system on the corresponding location information), the corresponding location information is the corresponding construction location; at the same time, the corresponding standby fish pond information of each candidate aquaponics system is also determined, that is, when the selected location is used as the candidate aquaponics system, the standby scale of the fish pond (how many fish ponds are constructed) is configured accordingly.

[0052] Step 22, according to the first black soldier fly breeding scale of each target black soldier fly treatment point under the target NIMBY effect parameter, determine the mature larvae supply information corresponding to each target black soldier fly treatment point, wherein the mature larvae supply information maps the corresponding fish production information.

[0053] In this embodiment, after the candidate black soldier fly treatment point is used as the target black soldier fly treatment point, its corresponding target NIMBY effect parameter is also determined, and the corresponding first black soldier fly breeding scale is also determined accordingly. Then, the amount of mature larvae that can be cultivated at the target black soldier fly treatment point can be determined according to the first black soldier fly breeding scale. It can be understood that by raising fish with a corresponding amount of mature larvae, a corresponding amount of fish production can be obtained, that is, the mature larvae supply information reflects the amount of fresh fish that can be produced by the fish-vegetable symbiotic system that receives the corresponding mature larvae.

[0054] Step 23, based on the mature larvae supply information and the prepared fish pond information corresponding to each candidate aquaponics system, select at least one candidate aquaponics system that meets the fish production demand corresponding to the fish production information from multiple candidate aquaponics systems.

[0055] In this embodiment, with the goal of cultivating fresh fish corresponding to the supply information of mature larvae, the planning allocation of the corresponding candidate fish-vegetable symbiotic system is determined, and the planning allocation includes at least one fish-vegetable symbiotic system. For example, when the total number of fish ponds for cultivating fresh fish corresponding to the supply information of mature larvae is m, the number of fish ponds corresponding to the standby fish pond information corresponding to the candidate fish-vegetable symbiotic system is k, k is a different value, and multiple k are summed to obtain m, then the candidate fish-vegetable symbiotic system corresponding to the k involved in the summation belongs to the corresponding planning allocation, that is, belongs to at least one alternative fish-vegetable symbiotic system; it can be understood that the fresh fish produced by the fish-vegetable symbiotic system will be supplied to its associated catering center. Therefore, in the process of determining the corresponding planning configuration, the goal is also to minimize the difference between the amount of fresh fish produced by the total number of fish ponds corresponding to the candidate fish-vegetable symbiotic system and the amount of fresh fish required by the catering center, and the total number of fish ponds corresponding to the standby fish pond information of the candidate fish-vegetable symbiotic system is determined.

[0056] Step 24, based on the first position information corresponding to each alternative aquaponics system and the position information of the corresponding target black soldier fly processing point, calculate the total daily cost of the corresponding fly transportation between the target black soldier fly processing point and at least one alternative aquaponics system, and according to the preparation cost corresponding to each alternative aquaponics system and the total cost of fish production determined by the total daily cost, select a target aquaponics system from at least one alternative aquaponics system to obtain a site selection result for the aquaponics system, wherein the site selection result for the aquaponics system includes all selected target aquaponics systems and the preparation fish pond information corresponding to each target aquaponics system.

[0057] In this embodiment, after determining the preliminary planning allocation including at least one alternative aquaponics system, the planning allocation with the optimal total fish production cost is determined based on the total fish production cost generated by each alternative aquaponics system and the corresponding target black soldier fly processing point in each preliminary planning allocation, that is, the target aquaponics system is obtained, and the target aquaponics system includes at least one candidate aquaponics system; in this embodiment, the total fish production cost includes at least the transportation cost of transporting fly worms between the target black soldier fly processing point and the corresponding aquaponics system (corresponding to the total daily cost), the fixed construction cost of the corresponding aquaponics system (for example: site rental, site water and electricity costs and site construction costs) and the cost of building a fish pond and the cost of transporting fish. The fish transportation cost refers to the transportation cost of transporting fresh fish from the target aquaponics system to the associated catering center, and the fish transportation cost is calculated based on the transportation distance and the amount of fresh fish between the target aquaponics system and the catering center.

[0058] In some optional implementations, the total weekly transportation cost BTC of the mature black soldier fly larvae from the black soldier fly treatment point to the alternative aquaponics system is calculated according to the following formula:

[0059]

[0060] Where a represents a candidate aquaponics system, A represents a set of candidate aquaponics systems, t2 represents a week in the site selection cycle, T2 represents a time set with a week as a time node in the site selection cycle, d represents a black soldier fly treatment point, and D represents a set of candidate black soldier fly treatment points. represents the average daily increase in the weight of mature black soldier fly larvae at the black soldier fly treatment point d from day t to t+7; vc1 represents the capacity of the black soldier fly mature larvae collection and transportation vehicle, y da Indicates whether the black soldier fly treatment point d delivers mature black soldier fly larvae to the candidate aquaponics system a, y da =1 or 0, represents the distance from the black soldier fly treatment point d to the candidate aquaponics system a, and uda represents the unit distance transportation cost of a black soldier fly mature larvae collection and transportation vehicle.

[0061] After calculating the total weekly transportation cost BTC, determine the corresponding total daily cost.

[0062] In some of the optional implementations, the preparation cost C is calculated according to the following formula: a :

[0063]

[0064] Among them, fy a represents the number of fixed fish ponds of alternative aquaponics system a, yfc represents the construction cost of fixed fish ponds of alternative aquaponics system a, and vy a represents the number of movable fish ponds of alternative aquaponics system a, yvc represents the construction cost of movable fish ponds of alternative aquaponics system a, p a Indicates whether the alternative aquaponics system a needs to be built, p a =1 or 0, ccy represents the fixed construction cost of alternative aquaponics system a.

[0065] Through the above steps 21 to 24, the site selection of the fish pond symbiotic system is achieved, and through reasonable site selection, the operating efficiency and economy of the fish-vegetable symbiotic system are ensured.

[0066] In some embodiments, according to the total cost of fish production determined by the preparation cost and the total cost per day corresponding to each candidate aquaponics system, a target aquaponics system is selected from at least one candidate aquaponics system, which is implemented by the following steps:

[0067] Step 31, obtaining a preset expected value of total cost of fish production, wherein the expected value of total cost of fish production is used to characterize the cost of fish production required to produce the fresh fish that meets the total demand of fresh fish for all catering centers.

[0068] In this embodiment, the expected value of the total cost of fish production is the cost that can be used to build the fish-vegetable symbiotic system, which is set through budget planning.

[0069] Step 32, based on the total fish production cost, calculate the total fish production cost corresponding to the configured alternative fish-vegetable symbiotic system combination, and select the alternative fish-vegetable symbiotic system combination with the smallest difference between the total fish production cost and the expected value of the total industry cost to obtain a target fish-vegetable symbiotic system combination, wherein the alternative fish-vegetable symbiotic system combination is generated by greedy allocation of at least one alternative fish-vegetable symbiotic system, and the target fish-vegetable symbiotic system includes all alternative fish-vegetable symbiotic systems of the target fish-vegetable symbiotic system combination.

[0070] In this embodiment, the fish production corresponding to all the alternative fish-vegetable symbiosis systems greedily allocated meets the fish production demand corresponding to the fish production information, that is, the amount of fresh fish produced by all the alternative fish-vegetable symbiosis systems greedily allocated meets the fish demand of the associated catering center.

[0071] The preset expected value of the total cost of fish production is obtained through the above steps. The expected value of the total cost of fish production is used to characterize the fish production cost required to produce the fresh fish that meets the total demand of fresh fish for all catering centers. Based on the total cost of fish production, the total fish production cost corresponding to the configured alternative fish-vegetable symbiotic system combination is calculated, and the alternative fish-vegetable symbiotic system combination with the smallest difference between the total fish production cost and the expected value of the total industry cost is selected to obtain the target fish-vegetable symbiotic system combination. The alternative fish-vegetable symbiotic system combination is generated by greedy allocation of at least one alternative fish-vegetable symbiotic system. The target fish-vegetable symbiotic system includes all alternative fish-vegetable symbiotic systems of the target fish-vegetable symbiotic system combination, so as to realize the site selection of the fish-vegetable symbiotic system according to the fish production cost.

[0072] In some embodiments, the total daily operating costs corresponding to the candidate black soldier fly treatment points and the associated multiple catering centers are calculated by the following steps:

[0073] Step 41, based on the distance information between each catering center and the corresponding alternative black soldier fly treatment point, determine the single-day transportation cost of each catering center to transport kitchen waste to the corresponding alternative black soldier fly treatment point, and obtain the total daily transportation cost of kitchen waste corresponding to the corresponding alternative black soldier fly treatment point.

[0074] In this embodiment, the corresponding transportation distance is determined by calculating the Euclidean distance between the catering center and the candidate black soldier fly treatment point. In some optional implementations, the distance from the catering center c to the candidate black soldier fly treatment point d is calculated according to the following formula:

[0075]

[0076] Among them, (x d ,yd ) represents the position coordinates of the candidate black soldier fly treatment point d, (x c ,y c ) represents the location coordinates of the catering center c.

[0077] Step 42, determining the black soldier fly breeding boxes corresponding to the first black soldier fly breeding scale corresponding to each candidate black soldier fly processing point, and based on the number of corresponding black soldier fly breeding boxes, determining the cost of preparing the breeding boxes corresponding to each candidate black soldier fly processing point.

[0078] Step 43, based on the preparation cost corresponding to the black soldier fly treatment point, the breeding box preparation cost and the total daily transportation cost of kitchen waste, the daily operation cost corresponding to the candidate black soldier fly treatment point and the associated multiple catering centers is obtained.

[0079] In some optional implementations, the construction cost C1 is calculated according to the following formula:

[0080]

[0081] Where D represents the set of candidate black soldier fly treatment points, represents the number of fixed black soldier fly breeding boxes at black soldier fly treatment point d, Represents the construction cost of the fixed black soldier fly breeding box, represents the number of movable boxes at the black soldier fly treatment point d, Represents the construction cost of a mobile black soldier fly breeding box, Represents the cost of building the breeding box. Indicates whether the candidate black soldier fly processing point d needs to be constructed. , represents the cost of setting up the black soldier fly treatment site d;

[0082] The total daily transportation cost of food waste WTC is calculated according to the following formula:

[0083]

[0084] Where W represents the site selection cycle, w represents a day in the site selection cycle, C represents the set of catering centers, and c represents a catering center. represents the amount of kitchen waste that the restaurant center c needs to process on day w, Indicates whether to transport kitchen waste from the catering center c to the candidate black soldier fly treatment point d, , Indicates the capacity of the food waste collection truck. represents the distance from the catering center c to the candidate black soldier fly treatment point d, Represents the unit distance transportation cost of a food waste collection truck.

[0085] Through the above steps 41 to 43, the total daily operating costs corresponding to the candidate black soldier fly treatment points and the associated catering centers are determined, providing screening benchmark parameters for screening out target black soldier fly treatment points.

[0086] In some of the embodiments, a target black soldier fly treatment site is selected from at least one candidate black soldier fly treatment site based on at least the total daily operating cost to obtain a site selection result, by the following steps:

[0087] Step 51, according to the first black soldier fly demand corresponding to each alternative black soldier fly processing point, the required insect egg supply and auxiliary material supply are determined, and from multiple candidate insect egg supply nodes, a candidate insect egg supply node with the shortest first transportation distance and meeting the required insect egg supply is selected to obtain a target insect egg supply node, and from multiple candidate auxiliary material supply nodes, a candidate auxiliary material supply node with the shortest second transportation distance and meeting the required auxiliary material supply is selected to obtain a target auxiliary material supply node, wherein the first transportation distance is the distance that the candidate insect egg supply node transports the insect eggs to the corresponding alternative black soldier fly processing point, and the second transportation distance is the distance that the candidate auxiliary material supply node transports the auxiliary materials to the corresponding alternative black soldier fly processing point.

[0088] In this embodiment, the corresponding auxiliary materials include but are not limited to sawdust.

[0089] Step 52, based on the first transportation distance, the second transportation distance and the corresponding unit transportation cost, calculate the raw material supply cost corresponding to the alternative black soldier fly processing point, and add the raw material supply cost and the daily operating total cost to generate the daily total cost corresponding to the alternative black soldier fly processing point.

[0090] In some optional implementations, the auxiliary material supply cost PTC is calculated according to the following formula:

[0091]

[0092] Wherein, d represents a candidate black soldier fly treatment site, D represents a set of candidate black soldier fly treatment sites, W represents a site selection cycle, w represents a day in the site selection cycle, f represents a candidate auxiliary material supply node, F represents a set of candidate auxiliary material supply nodes, c represents a catering center, C represents a set of catering centers, represents the amount of kitchen waste generated by catering center c on day w, Indicates whether to transport kitchen waste from the catering center c to the candidate black soldier fly treatment point d, , wtw represents the conversion rate of kitchen waste to auxiliary materials, vc3 represents the capacity of the auxiliary material collection and transportation vehicle, k fd Indicates whether to transport auxiliary materials from candidate auxiliary material supply node f to candidate black soldier fly processing point d, k fd =1 or 0, D3 fdrepresents the distance from the candidate auxiliary material supply node f to the candidate black soldier fly processing point d, and udf represents the unit distance transportation cost of the auxiliary material collection and transportation vehicle;

[0093] The weekly cost GTC of egg supply is calculated as follows:

[0094]

[0095] Wherein, d represents a candidate black soldier fly treatment point, D represents a set of candidate black soldier fly treatment points, r represents a week in the egg supply time node, R represents the set of egg supply weeks in the site selection period, g represents a candidate egg supply node, G represents a set of candidate egg supply nodes, represents the average daily increase in the weight of mature black soldier fly larvae at the black soldier fly treatment point d from day t to t+7, wtb represents the conversion rate of kitchen waste to mature black soldier fly larvae, wtg represents the conversion rate of kitchen waste to eggs, vc4 represents the capacity of the egg collection and transportation vehicle, l gd Indicates whether to transport eggs from the candidate egg supply node g to the candidate black soldier fly treatment point d, D4 gd represents the distance from the candidate egg supply node g to the candidate black soldier fly treatment point d, and udg represents the unit distance transportation cost of the egg collection and transportation vehicle.

[0096] In this embodiment, after calculating the weekly cost GTC, the corresponding daily cost of the egg supply is calculated on a daily basis, and the auxiliary material supply cost PTC and the daily cost of the egg supply are summed to obtain the raw material supply cost, and finally the daily total cost is calculated.

[0097] Step 53, selecting a target black soldier fly processing point from at least one candidate black soldier fly processing point in order of daily total cost from small to large, wherein the sum of the daily total costs corresponding to all target black soldier fly processing points is not greater than a preset daily total cost threshold.

[0098] Through the above steps 51 to 53, the total daily operating cost is calculated, and the candidate black soldier fly treatment points are screened based on the daily operating cost to obtain the target black soldier fly treatment point, that is, the site selection result is obtained.

[0099] In some of the embodiments, based on the first black soldier fly breeding scale and the first black soldier fly demand, at least one candidate black soldier fly processing point is selected from a plurality of candidate black soldier fly processing points, which is achieved by the following steps:

[0100] Step 61, determining the black soldier fly output of the candidate black soldier fly treatment point under the first black soldier fly breeding scale corresponding to each NIMBY effect parameter.

[0101] Step 62, based on the black soldier fly output, determine the black soldier fly processing point configuration parameters of the black soldier fly outputting the first black soldier fly demand, wherein the black soldier fly processing point configuration parameters include a candidate black soldier fly processing point combination consisting of at least one candidate black soldier fly processing point and the NIMBY effect parameters configured for each candidate black soldier fly processing point in the candidate black soldier fly processing point combination.

[0102] Step 63, based on the satisfaction corresponding to the NIMBY effect parameters configured for the candidate black soldier fly processing points, select a combination of candidate black soldier fly processing points with the highest total satisfaction, and obtain at least one candidate black soldier fly processing point.

[0103] Through the above steps 61 to 63, it is possible to select a candidate black soldier fly treatment point that meets the preliminary planning requirements from the candidate black soldier fly treatment points.

[0104] In some embodiments, determining the first black soldier fly breeding scale corresponding to each candidate black soldier fly treatment point under the corresponding NIMBY effect parameter is achieved by the following steps:

[0105] Step 71, obtaining a breeding scale parameter table, wherein the breeding parameter table includes a NIMBY effect parameter, the number of black soldier fly breeding boxes, a first distance from the center point of the target area, and corresponding relationship information among the three.

[0106] In this embodiment, the breeding scale parameter table is constructed by pre-surveying residents' acceptance of establishing a set number of black soldier fly breeding boxes and setting them in different locations.

[0107] Step 72, determining a second distance from the corresponding target area center point according to the location information of the candidate black soldier fly treatment point, and querying the number of black soldier fly breeding boxes corresponding to the second distance and the corresponding NIMBY effect parameter in the breeding scale parameter table;

[0108] Step 73, generating a first black soldier fly breeding scale based on the corresponding number of black soldier fly breeding boxes.

[0109] Through the above steps, the breeding scale parameter table is obtained; according to the location information of the candidate black soldier fly treatment point, the second distance to the corresponding target area center point is determined, and in the breeding scale parameter table, the number of black soldier fly breeding boxes corresponding to the second distance and the corresponding NIMBY effect parameter is queried; based on the corresponding number of black soldier fly breeding boxes, the first black soldier fly breeding scale is generated, thereby realizing the determination of the black soldier fly breeding scale of the candidate black soldier fly treatment point under the corresponding NIMBY effect parameter.

[0110] This embodiment also provides a site selection device for a closed-loop treatment facility for kitchen waste resource utilization, which is used to implement the above-mentioned embodiments and preferred implementation modes, and will not be repeated hereafter. As used below, the terms "module", "unit", "subunit", etc. can implement a combination of software and / or hardware for a predetermined function. Although the devices described in the following embodiments are preferably implemented in software, the implementation of hardware, or a combination of software and hardware, is also possible and conceived.

[0111] Figure 3 is a structural block diagram of a site selection device for a closed-loop kitchen waste resource processing facility according to an embodiment of the present application, such as Figure 3 As shown, the device includes a determination module 31, a processing module 32 and a site selection module 33, wherein:

[0112] A determination module 31 is used to determine the daily production of kitchen waste corresponding to each catering center based on the total production of kitchen waste of multiple catering centers within a set site selection period, and determine the total daily production of kitchen waste corresponding to multiple catering centers;

[0113] The processing module 32 is coupled to the determination module 31 and is used to determine the first black soldier fly breeding scale corresponding to each candidate black soldier fly treatment point under the corresponding NIMBY effect parameter after determining the first black soldier fly demand required for processing the daily total amount of kitchen waste, wherein the NIMBY effect parameter is used to characterize the satisfaction of residents in the target area with the black soldier fly breeding scale and construction location of the candidate black soldier fly treatment point in the target area, and the first black soldier fly breeding scale is determined according to the black soldier fly breeding box associated with the candidate black soldier fly treatment point;

[0114] The site selection module 33 is coupled to the processing module 32, and is used to select at least one alternative black soldier fly processing point from multiple candidate black soldier fly processing points based on the first black soldier fly breeding scale and the first black soldier fly demand, and after calculating the total daily operating costs corresponding to the alternative black soldier fly processing points and the associated multiple catering centers, select a target black soldier fly processing point from at least one alternative black soldier fly processing point based on at least the total daily operating cost to obtain a site selection result, wherein the site selection result includes all selected target black soldier fly processing points, the first black soldier fly breeding scale and construction location of each target black soldier fly processing point under the target NIMBY effect parameters.

[0115] In some of the embodiments, after obtaining the site selection result, the site selection device is also used to obtain first target information of multiple candidate fish-vegetable symbiotic systems, wherein the first target information includes first location information and prepared fish pond information, and the prepared fish pond information is used to characterize the fish production scale of the candidate fish-vegetable symbiotic system; according to the first black soldier fly breeding scale of each target black soldier fly treatment point under the target NIMBY effect parameter, the mature larvae supply information corresponding to each target black soldier fly treatment point is determined, wherein the mature larvae supply information maps the corresponding fish production information; based on the mature larvae supply information and the prepared fish pond information corresponding to each candidate fish-vegetable symbiotic system, a fish-vegetable symbiotic system that satisfies the requirements is selected from multiple candidate fish-vegetable symbiotic systems. at least one alternative aquaponics system for the fish production demand corresponding to the fish production information; based on the first position information corresponding to each alternative aquaponics system and the position information of the corresponding target black soldier fly processing point, the total daily cost of the corresponding horsefly transportation between the target black soldier fly processing point and the at least one alternative aquaponics system is calculated, and according to the preparation cost corresponding to each alternative aquaponics system and the total fish production cost determined by the daily total cost, a target aquaponics system is selected from the at least one alternative aquaponics system to obtain a site selection result for the aquaponics system, wherein the site selection result for the aquaponics system includes all the selected target aquaponics systems and the preparation fish pond information corresponding to each target aquaponics system.

[0116] In some embodiments, the site selection module 33 further includes:

[0117] A first acquisition unit is used to acquire a preset expected value of total cost of fish production, wherein the expected value of total cost of fish production is used to represent the cost of fish production required to produce the fresh fish corresponding to the total demand of fresh fish for all catering centers;

[0118] The first calculation unit is coupled to the first acquisition unit, and is used for calculating the total fish production cost corresponding to the configured alternative fish-vegetable symbiotic system combination based on the total fish production cost, and selecting the alternative fish-vegetable symbiotic system combination with the smallest difference between the total fish production cost and the expected value of the total industry cost to obtain a target fish-vegetable symbiotic system combination, wherein the alternative fish-vegetable symbiotic system combination is generated by greedily allocating at least one alternative fish-vegetable symbiotic system, and the target fish-vegetable symbiotic system includes all alternative fish-vegetable symbiotic systems of the target fish-vegetable symbiotic system combination.

[0119] In some embodiments, the site selection module 33 further includes:

[0120] The first determination unit is used to determine the single-day transportation cost of each catering center to transport kitchen waste to the corresponding candidate black soldier fly treatment point according to the distance information between each catering center and the corresponding candidate black soldier fly treatment point, and obtain the total daily transportation cost of the kitchen waste corresponding to the corresponding candidate black soldier fly treatment point;

[0121] The second determination unit is used to determine the black soldier fly breeding boxes corresponding to the first black soldier fly breeding scale corresponding to each candidate black soldier fly treatment point, and determine the breeding box preparation cost corresponding to each candidate black soldier fly treatment point based on the number of corresponding black soldier fly breeding boxes;

[0122] The second calculation unit is coupled to the first determination unit and the second determination unit respectively, and is used to obtain the daily operating costs corresponding to the alternative black soldier fly treatment points and the associated multiple catering centers based on the preparation cost corresponding to the black soldier fly treatment points, the preparation cost of the breeding box and the total daily transportation cost of kitchen waste.

[0123] In some embodiments, the site selection module 33 further includes:

[0124] The first selection unit determines the required insect egg supply and auxiliary material supply according to the first black soldier fly demand corresponding to each candidate black soldier fly processing point, and selects a candidate insect egg supply node with the shortest first transportation distance and meeting the required insect egg supply from multiple candidate insect egg supply nodes to obtain a target insect egg supply node, and selects a candidate auxiliary material supply node with the shortest second transportation distance and meeting the required auxiliary material supply from multiple candidate auxiliary material supply nodes to obtain a target auxiliary material supply node, wherein the first transportation distance is the distance for the candidate insect egg supply node to transport the insect eggs to the corresponding candidate black soldier fly processing point, and the second transportation distance is the distance for the candidate auxiliary material supply node to transport the auxiliary materials to the corresponding candidate black soldier fly processing point;

[0125] A third calculation unit is coupled to the first selection unit and is used to calculate the raw material supply cost corresponding to the candidate black soldier fly processing point based on the first transportation distance, the second transportation distance and the corresponding unit transportation cost, and add the raw material supply cost and the daily total operation cost to generate the daily total cost corresponding to the candidate black soldier fly processing point;

[0126] The second selection unit is coupled to the third calculation unit and is used to select a target black soldier fly processing point from at least one alternative black soldier fly processing point in order of daily total cost from small to large, wherein the sum of the daily total costs corresponding to all target black soldier fly processing points is not greater than a preset daily total cost threshold.

[0127] In some embodiments, the processing module 32 further includes:

[0128] A third determination unit is used to determine the black soldier fly output of the candidate black soldier fly treatment point under the first black soldier fly breeding scale corresponding to each NIMBY effect parameter;

[0129] a fourth determination unit, coupled to the third determination unit, for determining, according to the black soldier fly output, a black soldier fly processing point configuration parameter for producing a first black soldier fly demand, wherein the black soldier fly processing point configuration parameter comprises a candidate black soldier fly processing point combination consisting of at least one candidate black soldier fly processing point and a NIMBY effect parameter configured for each candidate black soldier fly processing point in the candidate black soldier fly processing point combination;

[0130] The third selection unit is coupled to the fourth determination unit and is used to select a combination of candidate black soldier fly processing points with the highest total satisfaction based on the satisfaction corresponding to the NIMBY effect parameters configured by the candidate black soldier fly processing points to obtain at least one alternative black soldier fly processing point.

[0131] In some embodiments, the processing module 32 further includes a function for obtaining a breeding scale parameter table, wherein the breeding parameter table includes a NIMBY effect parameter, the number of black soldier fly breeding boxes, a first distance from the center point of the target area, and corresponding relationship information therebetween; according to the location information of the candidate black soldier fly processing point, a second distance from the corresponding center point of the target area is determined, and in the breeding scale parameter table, the number of black soldier fly breeding boxes corresponding to the second distance and the corresponding NIMBY effect parameter is queried; based on the corresponding number of black soldier fly breeding boxes, a first black soldier fly breeding scale is generated.

[0132] This embodiment further provides a service platform, including a memory and a processor, wherein a computer program is stored in the memory, and the processor is configured to run the computer program to execute the steps in any one of the above method embodiments.

[0133] Optionally, the service platform may further include a transmission device and an input / output device, wherein the transmission device is connected to the processor, and the input / output device is connected to the processor.

[0134] Optionally, in this embodiment, the processor may be configured to perform the following steps through a computer program:

[0135] S1, based on the total production of kitchen waste of multiple catering centers within a set site selection period, determine the daily production of kitchen waste corresponding to each catering center, and determine the total daily production of kitchen waste corresponding to multiple catering centers.

[0136] S2. After determining the first black soldier fly demand required for processing the daily total amount of kitchen waste, determine the first black soldier fly breeding scale corresponding to each candidate black soldier fly treatment point under the corresponding NIMBY effect parameter, wherein the NIMBY effect parameter is used to characterize the satisfaction of residents in the target area with the black soldier fly breeding scale and construction location of the candidate black soldier fly treatment point in the target area, and the first black soldier fly breeding scale is determined based on the black soldier fly breeding box associated with the candidate black soldier fly treatment point.

[0137] S3. Based on the first black soldier fly breeding scale and the first black soldier fly demand, at least one alternative black soldier fly treatment point is selected from multiple candidate black soldier fly treatment points, and after calculating the total daily operating costs corresponding to the alternative black soldier fly treatment points and the associated multiple catering centers, a target black soldier fly treatment point is selected from at least one alternative black soldier fly treatment point based on at least the total daily operating costs to obtain a site selection result, wherein the site selection result includes all selected target black soldier fly treatment points, the first black soldier fly breeding scale and construction location of each target black soldier fly treatment point under the target NIMBY effect parameters.

[0138] It should be noted that the specific examples in this embodiment can refer to the examples described in the above embodiments and optional implementation modes, and this embodiment will not be described in detail here.

[0139] In addition, in combination with the site selection method of the closed-loop treatment facility for resource utilization of kitchen waste in the above embodiments, the embodiment of the present application can provide a storage medium for implementation. The storage medium stores a computer program; when the computer program is executed by the processor, any site selection method of the closed-loop treatment facility for resource utilization of kitchen waste in the above embodiments is implemented.

[0140] Those skilled in the art should understand that the technical features of the above embodiments may be arbitrarily combined. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0141] The above embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the invention patent. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the patent of the present application shall be subject to the attached claims.

Claims

1. A method for selecting a site for a closed-loop kitchen waste resource treatment facility, characterized in that: include: Based on the total production of kitchen waste of multiple catering centers within a set site selection period, determine the daily production of kitchen waste corresponding to each catering center, and determine the total daily production of kitchen waste corresponding to the multiple catering centers; After determining the first black soldier fly demand required for processing the daily total amount of kitchen waste, determining the first black soldier fly breeding scale corresponding to each candidate black soldier fly treatment point under the corresponding NIMBY effect parameter, wherein the NIMBY effect parameter is used to characterize the satisfaction of residents in the target area with the black soldier fly breeding scale and construction location of the candidate black soldier fly treatment point in the target area, and the first black soldier fly breeding scale is determined according to the black soldier fly breeding box associated with the candidate black soldier fly treatment point; Based on the first black soldier fly breeding scale and the first black soldier fly demand, at least one candidate black soldier fly treatment point is selected from the plurality of candidate black soldier fly treatment points, and after calculating the total daily operating costs corresponding to the candidate black soldier fly treatment point and the associated plurality of catering centers, a target black soldier fly treatment point is selected from the at least one candidate black soldier fly treatment point at least based on the total daily operating costs to obtain a site selection result, wherein the site selection result includes all the selected target black soldier fly treatment points, the first black soldier fly breeding scale and the construction location of each target black soldier fly treatment point under the target NIMBY effect parameter; after obtaining the site selection result, the method further includes: Acquire first target information of a plurality of candidate aquaponics systems, wherein the first target information includes first location information and prepared fish pond information, and the prepared fish pond information is used to characterize the fish production scale of the candidate aquaponics system; Determine the mature larvae supply information corresponding to each of the target black soldier fly treatment points according to the first black soldier fly breeding scale under the target NIMBY effect parameter, wherein the mature larvae supply information maps the corresponding fish production information; Based on the mature larvae supply information and the prepared fish pond information corresponding to each of the candidate aquaponics systems, selecting at least one candidate aquaponics system that meets the fish production demand corresponding to the fish production information from a plurality of the candidate aquaponics systems; Based on the first location information corresponding to each of the alternative aquaponics systems and the location information of the corresponding target black soldier fly processing point, the total daily cost of the corresponding fly transportation between the target black soldier fly processing point and at least one of the alternative aquaponics systems is calculated, and according to the preparation cost corresponding to each of the alternative aquaponics systems and the total fish production cost determined by the total daily cost, a target aquaponics system is selected from at least one of the alternative aquaponics systems to obtain a site selection result for the aquaponics system, wherein the site selection result for the aquaponics system includes all the selected target aquaponics systems and the preparation fish pond information corresponding to each of the target aquaponics systems.

2. The method according to claim 1, characterized in that According to the preparation cost corresponding to each of the candidate aquaponics systems and the total cost of fish production determined by the total cost per day, a target aquaponics system is selected from at least one of the candidate aquaponics systems, including: Obtaining a preset expected value of total fish production cost, wherein the expected value of total fish production cost is used to represent the fish production cost required to produce the fresh fish corresponding to the total fresh fish demand of all the catering centers; Based on the total fish production cost, the total fish production cost corresponding to the configured alternative fish-vegetable symbiotic system combination is calculated, and the alternative fish-vegetable symbiotic system combination with the smallest difference between the total fish production cost and the expected value of the total fish production cost is selected to obtain a target fish-vegetable symbiotic system combination, wherein the alternative fish-vegetable symbiotic system combination is generated by greedily allocating at least one of the alternative fish-vegetable symbiotic systems, and the target fish-vegetable symbiotic system includes all the alternative fish-vegetable symbiotic systems of the target fish-vegetable symbiotic system combination.

3. The method according to claim 2, characterized in that Calculating the total daily operating cost corresponding to the candidate black soldier fly treatment point and the associated plurality of catering centers, including: According to the distance information between each catering center and the corresponding candidate black soldier fly treatment point, determine the single-day transportation cost of each catering center to transport kitchen waste to the corresponding candidate black soldier fly treatment point, and obtain the total daily transportation cost of kitchen waste corresponding to the corresponding candidate black soldier fly treatment point; Determine the black soldier fly breeding boxes corresponding to the first black soldier fly breeding scale corresponding to each of the candidate black soldier fly treatment points, and determine the cost of preparing the breeding boxes corresponding to each of the candidate black soldier fly treatment points based on the number of the corresponding black soldier fly breeding boxes; Based on the preparation cost corresponding to the black soldier fly treatment point, the preparation cost of the breeding box and the total daily transportation cost of the kitchen waste, the daily operation cost corresponding to the alternative black soldier fly treatment point and the associated multiple catering centers is obtained.

4. The method according to claim 3, characterized in that At least according to the total daily operating cost, a target black soldier fly treatment point is selected from at least one of the candidate black soldier fly treatment points to obtain a site selection result, including: According to the first black soldier fly demand corresponding to each candidate black soldier fly processing point, the required insect egg supply and auxiliary material supply are determined, and from multiple candidate insect egg supply nodes, a candidate insect egg supply node with the shortest first transportation distance and meeting the required insect egg supply is selected to obtain a target insect egg supply node, and from multiple candidate auxiliary material supply nodes, a candidate auxiliary material supply node with the shortest second transportation distance and meeting the required auxiliary material supply is selected to obtain a target auxiliary material supply node, wherein the first transportation distance is the distance that the candidate insect egg supply node transports the insect eggs to the corresponding candidate black soldier fly processing point, and the second transportation distance is the distance that the candidate auxiliary material supply node transports the auxiliary materials to the corresponding candidate black soldier fly processing point; Based on the first transportation distance, the second transportation distance and the corresponding unit transportation cost, the raw material supply cost corresponding to the candidate black soldier fly processing point is calculated, and the raw material supply cost and the daily total operating cost are added together to generate the daily total cost corresponding to the candidate black soldier fly processing point; The target black soldier fly treatment point is selected from at least one of the candidate black soldier fly treatment points in order of daily total cost from small to large, wherein the sum of the daily total costs corresponding to all the target black soldier fly treatment points is not greater than a preset daily total cost threshold.

5. The method according to claim 1, characterized in that Based on the first black soldier fly breeding scale and the first black soldier fly demand, at least one candidate black soldier fly processing point is selected from the plurality of candidate black soldier fly processing points, including: Determining the output of black soldier flies at the candidate black soldier fly treatment point under the first black soldier fly breeding scale corresponding to each of the NIMBY effect parameters; According to the black soldier fly output, determine the black soldier fly processing point configuration parameters of the black soldier fly that produces the first black soldier fly demand, wherein the black soldier fly processing point configuration parameters include a candidate black soldier fly processing point combination consisting of at least one candidate black soldier fly processing point and the NIMBY effect parameter configured for each candidate black soldier fly processing point in the candidate black soldier fly processing point combination; Based on the satisfaction levels corresponding to the NIMBY effect parameters configured for the candidate black soldier fly treatment points, a combination of the candidate black soldier fly treatment points with the highest total satisfaction level is selected to obtain at least one candidate black soldier fly treatment point.

6. The method according to claim 1, characterized in that Determine the first black soldier fly breeding scale corresponding to each candidate black soldier fly treatment point under the corresponding NIMBY effect parameter, including: Obtaining a breeding scale parameter table, wherein the breeding scale parameter table includes a NIMBY effect parameter, the number of black soldier fly breeding boxes, a first distance from a center point of a target area, and corresponding relationship information among the three; According to the location information of the candidate black soldier fly treatment point, determine the second distance from the corresponding center point of the target area, and query the number of black soldier fly breeding boxes corresponding to the second distance and the corresponding NIMBY effect parameter in the breeding scale parameter table; Based on the corresponding number of black soldier fly breeding boxes, the first black soldier fly breeding scale is generated.

7. A site selection device for a closed-loop kitchen waste resource treatment facility, characterized in that: include: A determination module, for determining the daily production of kitchen waste corresponding to each catering center based on the total production of kitchen waste of the multiple catering centers within a set site selection period, and determining the total daily production of kitchen waste corresponding to the multiple catering centers; A processing module, for determining, after determining the first black soldier fly demand required for processing the daily total amount of kitchen waste, a first black soldier fly breeding scale corresponding to each candidate black soldier fly treatment point under a corresponding NIMBY effect parameter, wherein the NIMBY effect parameter is used to characterize the satisfaction of residents in a target area with the black soldier fly breeding scale and construction location of the candidate black soldier fly treatment point in the target area, and the first black soldier fly breeding scale is determined according to the black soldier fly breeding box associated with the candidate black soldier fly treatment point; A site selection module, for selecting at least one candidate black soldier fly processing point from a plurality of the candidate black soldier fly processing points based on the first black soldier fly breeding scale and the first black soldier fly demand, and after calculating the total daily operating costs corresponding to the candidate black soldier fly processing point and the associated plurality of the catering centers, selecting a target black soldier fly processing point from at least one of the candidate black soldier fly processing points at least based on the total daily operating costs, to obtain a site selection result, wherein the site selection result includes all the selected target black soldier fly processing points, the first black soldier fly breeding scale of each target black soldier fly processing point under a target NIMBY effect parameter and the construction location; After obtaining the site selection result, the site selection device is further used to obtain first target information of multiple candidate aquaponics systems, wherein the first target information includes first location information and prepared fish pond information, and the prepared fish pond information is used to characterize the fish production scale of the candidate aquaponics system; Determine the mature larvae supply information corresponding to each of the target black soldier fly treatment points according to the first black soldier fly breeding scale under the target NIMBY effect parameter, wherein the mature larvae supply information maps the corresponding fish production information; Based on the mature larvae supply information and the prepared fish pond information corresponding to each of the candidate aquaponics systems, selecting at least one candidate aquaponics system that meets the fish production demand corresponding to the fish production information from a plurality of the candidate aquaponics systems; Based on the first location information corresponding to each of the alternative aquaponics systems and the location information of the corresponding target black soldier fly processing point, the total daily cost of the corresponding fly transportation between the target black soldier fly processing point and at least one of the alternative aquaponics systems is calculated, and according to the preparation cost corresponding to each of the alternative aquaponics systems and the total fish production cost determined by the total daily cost, a target aquaponics system is selected from at least one of the alternative aquaponics systems to obtain a site selection result for the aquaponics system, wherein the site selection result for the aquaponics system includes all the selected target aquaponics systems and the preparation fish pond information corresponding to each of the target aquaponics systems.

8. A service platform, comprising a memory and a processor, characterized in that: A computer program is stored in the memory, and the processor is configured to run the computer program to execute the steps of the method for site selection of a closed-loop kitchen waste resource processing facility according to any one of claims 1 to 6.

9. A storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method for selecting a site for a closed-loop kitchen waste resource processing facility according to any one of claims 1 to 6 is implemented.

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