Garbage classification, mixed loading and weighing method and system based on RFID and GPS scheduling and medium

Abstract

The invention provides a garbage classification mixed loading and weighing method and system based on RFID and GPS scheduling, and a medium, and the method comprises the steps: obtaining the position information of a recovery point, analyzing the temporary storage stock information based on the material information of the recovery point, and judging whether the temporary storage stock information is greater than or equal to a set stock early warning value or not; if yes, based on the clearing demand instruction, generating a clearing order, planning a driving route of a clearing vehicle, obtaining the capacity of the clearing vehicle, loading and weighing different types of materials at the recovery points, and obtaining loading weight information; when the loading weight information meets a set weight threshold value, unloading the materials at the recovery point to obtain unloading weight information, and adjusting the unloading point position of the clearance vehicle based on the unloading weight information; various dry garbage is mixed and weighed, and accurate weight can be distinguished, so that the efficiency of clearing, transporting, sorting and warehousing of the dry garbage can be effectively improved, energy consumption and carbon emission in the process are reduced, and the significance and value of garbage classification are realized.

Description

Technical Field

[0001] This application relates to the field of waste sorting and treatment technology, and more specifically, to a method, system, and medium for weighing mixed waste sorting based on RFID and GPS scheduling. Background Technology

[0002] With the proliferation of diverse goods, household items, and industrial products, including hybrid and innovative materials, waste sorting and processing have become increasingly complex. In the recycling stage, only certain categories can be directly recycled in a standardized manner, such as waste paper, most of which require secondary sorting, dismantling, and crushing. Glass frames require disassembly and breakage of metal and glass. Hazardous waste such as batteries, medicines, tablets, and pesticide bottles require meticulous manual identification and sorting. However, ordinary beverage bottles, plastic bags, and express delivery packaging can be processed by robotic arms in automated sorting lines. Further downstream processing involves point-to-point transportation, sorting, compression, and testing, all of which consume energy. Therefore, waste sorting involves both upstream and downstream processes. While waste sorting can reduce carbon emissions and effectively protect the environment, it also generates carbon emissions during the processing itself. For example, collection, transportation, and sorting processes consume energy and packaging materials such as plastic bags and tape. Waste sorting is a complex undertaking that requires meticulous process management, increased mechanization and automation, fewer steps, and improved efficiency.

[0003] Current waste sorting models have largely achieved online recycling, enabling data traceability, carbon emission reduction statistics, and providing data for the carbon trading market. However, many pain points remain in terms of efficiency. Waste sorting can effectively reduce carbon emissions, but when waste is mixed and disposed of together, it becomes difficult to reuse. The waste sorting process also needs to be more efficient, reducing carbon emissions and resource consumption during transportation. Otherwise, waste sorting will become a mere formality, counterproductive, and unable to truly achieve the goals of carbon reduction, energy reuse, and environmental protection.

[0004] The following problems exist in the current waste sorting and disposal process:

[0005] To facilitate sorting and efficient warehousing by category, waste needs to be transported separately, and different categories need to be unloaded at different locations. Therefore, the current waste collection model mainly involves one type of waste per truck. Due to varying levels of activity at waste collection points and different temporary storage capacities, the vehicle models and collection times assigned by the collection dispatcher all require manual intervention, resulting in high communication and dispatch costs. This makes it impossible to optimize and reduce energy and personnel costs. Furthermore, for storage safety reasons, the temporary storage time cannot be too long, and some vehicles cannot be fully loaded, leading to a waste of vehicle capacity resources.

[0006] Different types of waste require different vehicle models due to their volume and collection time requirements. Furthermore, the wide and irregular distribution of recycling stations leads to traffic problems that cannot be planned in advance. This results in unreasonable vehicle usage and route planning, which in turn increases energy consumption during transportation. Summary of the Invention

[0007] The purpose of this application is to provide a method, system, and medium for weighing mixed waste sorting based on RFID and GPS scheduling. By weighing and accurately distinguishing the weights of various types of dry waste mixed together, the efficiency of dry waste collection, sorting, and warehousing can be effectively improved, energy consumption and carbon emissions in the process can be reduced, and the significance and value of waste sorting can be realized.

[0008] This application also provides a method for weighing mixed waste sorting based on RFID and GPS scheduling, including:

[0009] Obtain the location information of recycling points, match a unique identifier to each recycling site, and obtain the material information of the recycling point based on the identifier;

[0010] Based on the material information at the recycling point, analyze the temporary inventory information to determine whether the temporary inventory information is greater than or equal to the set inventory warning value.

[0011] If the inventory level is greater than or equal to the set warning value, a warning interaction and a clearance request instruction will be triggered.

[0012] Based on the collection demand command, a collection order is generated, a collection vehicle is dispatched based on the collection order, the collection vehicle route is planned, the collection vehicle capacity is obtained, different types of recycling point materials are loaded and weighed to obtain the loading weight information.

[0013] When the loading weight information meets the set weight threshold, the cleaning vehicle is controlled to transport the material to the unloading point, unload the material at the recycling point, and weigh it in real time to obtain the unloading weight information. The unloading point of the cleaning vehicle is then adjusted based on the unloading weight information.

[0014] If the inventory level is lower than the set warning value, the system will continue to monitor the temporary inventory information and transmit the information to the terminal in real time.

[0015] Optionally, in the waste sorting and mixed-loading weighing method based on RFID and GPS scheduling described in this application embodiment, obtaining the location information of recycling points, matching a unique identifier to each recycling point, and obtaining the material information of the recycling point based on the identifier specifically includes:

[0016] Obtain the location information of recycling points and match a unique identifier for each site;

[0017] The software system inputs and recognizes symbols to generate collected data, which is then converted into recognizable QR code material information.

[0018] The item code is entered based on the QR code material information, and the item's category, weight, value, and image information are generated.

[0019] The QR code material information is associated with the QR code information of the recycling point to form an attribution relationship. Based on the attribution relationship, waste is sorted at different recycling points to obtain material information at different recycling points.

[0020] Optionally, in the waste sorting and mixed-loading weighing method based on RFID and GPS scheduling described in the embodiments of this application, the analysis of temporary inventory information based on the material information at the recycling point specifically includes:

[0021] Obtain material information from recycling stations, classify and process the waste at recycling stations based on the material information, and obtain inventory information for different items;

[0022] Analyze the types and weight of waste based on inventory information of different items;

[0023] Based on the type of waste, analyze the inventory information of waste types at recycling stations;

[0024] Based on the weight analysis of waste, inventory information of waste weight at recycling stations;

[0025] The total temporary inventory information of the recycling station is calculated based on inventory information of waste type and waste weight.

[0026] Optionally, in the waste sorting and mixed-loading weighing method based on RFID and GPS scheduling described in this application embodiment, a collection order is generated based on the collection demand instruction, a collection vehicle is dispatched based on the collection order, and the collection vehicle's route is planned, specifically including:

[0027] Obtain inventory information and analyze the warehouse fullness of recycling sites based on the inventory information;

[0028] Compare the warehouse overflow level with the overflow warning threshold;

[0029] If the warehouse overflow level is greater than or equal to the overflow warning threshold, a removal request instruction is generated, and a removal order is generated based on the removal request instruction;

[0030] Based on the waste collection orders, dispatch waste collection vehicles and obtain their location information, and plan the vehicle routes based on the location information.

[0031] If the warehouse overflow level is less than the overflow warning threshold, inventory information will be monitored in real time.

[0032] Optionally, in the waste sorting and mixed loading weighing method based on RFID and GPS scheduling described in this application embodiment, the capacity of the collection vehicle is obtained, different types of recycling point materials are loaded and weighed to obtain loading weight information, specifically including:

[0033] The garbage truck accepts garbage collection orders. Each garbage collection order forms a loading batch, which includes the types of garbage items in the batch.

[0034] Based on the collection order, the collection vehicle is moved to the collection point, and the item code information is entered for scanning and loading.

[0035] Based on the RFID identification device, the driver's stop time is identified and recorded. When the driver scans the code to enter the item information for loading, the system analyzes whether the item category and batch category are correct.

[0036] If an incorrect category is found during barcode scanning, i.e., the item category and batch category are inconsistent, then data entry will not be allowed.

[0037] If correct, the loading operation will be carried out after the data entry is completed, and the loading weight information will be obtained in real time.

[0038] Optionally, in the waste sorting and mixed-loading weighing method based on RFID and GPS scheduling described in this application embodiment, the process includes controlling the collection vehicle to transport materials to the unloading point, unloading the materials at the recycling point, and weighing them in real time to obtain the unloading weight information. Based on this unloading weight information, the unloading point of the collection vehicle is adjusted. Specifically, this includes:

[0039] Obtain the batches that have been loaded, mark the loading order, and unload in reverse order according to the loading order to obtain the unloading order;

[0040] Control the garbage trucks to enter the weighbridge identification area, identify the vehicle's RFID code based on RFID equipment, and identify the license plate based on camera capture device;

[0041] If a batch of goods that has been loaded meets the set unloading conditions, the gate will be opened to allow the vehicle to pass through the weighbridge. After the vehicle passes through, it will drive into the weighbridge for weighing.

[0042] After weighing, the transport vehicle travels to the unloading point and unloads the goods according to the unloading sequence.

[0043] Secondly, embodiments of this application provide a waste sorting and mixed-loading weighing system based on RFID and GPS scheduling. The system includes a memory and a processor. The memory includes a program for a waste sorting and mixed-loading weighing method based on RFID and GPS scheduling. When the program for the waste sorting and mixed-loading weighing method based on RFID and GPS scheduling is executed by the processor, it implements the following steps:

[0044] Obtain the location information of recycling points, match a unique identifier to each recycling site, and obtain the material information of the recycling point based on the identifier;

[0045] Based on the material information at the recycling point, analyze the temporary inventory information to determine whether the temporary inventory information is greater than or equal to the set inventory warning value.

[0046] If the inventory level is greater than or equal to the set warning value, a warning interaction and a clearance request instruction will be triggered.

[0047] Based on the collection demand command, a collection order is generated, a collection vehicle is dispatched based on the collection order, the collection vehicle route is planned, the collection vehicle capacity is obtained, different types of recycling point materials are loaded and weighed to obtain the loading weight information.

[0048] When the loading weight information meets the set weight threshold, the cleaning vehicle is controlled to transport the material to the unloading point, unload the material at the recycling point, and weigh it in real time to obtain the unloading weight information. The unloading point of the cleaning vehicle is then adjusted based on the unloading weight information.

[0049] If the inventory level is lower than the set warning value, the system will continue to monitor the temporary inventory information and transmit the information to the terminal in real time.

[0050] Optionally, in the waste sorting and mixed-loading weighing system based on RFID and GPS scheduling described in this application embodiment, the location information of the recycling points is obtained, a unique identifier is matched for each recycling station, and the material information of the recycling point is obtained based on the identifier, specifically including:

[0051] Obtain the location information of recycling points and match a unique identifier for each site;

[0052] The software system inputs and recognizes symbols to generate collected data, which is then converted into recognizable QR code material information.

[0053] The item code is entered based on the QR code material information, and the item's category, weight, value, and image information are generated.

[0054] The QR code material information is associated with the QR code information of the recycling point to form an attribution relationship. Based on the attribution relationship, waste is sorted at different recycling points to obtain material information at different recycling points.

[0055] Optionally, in the waste sorting and mixed-loading weighing system based on RFID and GPS scheduling described in this application embodiment, the analysis of temporary inventory information based on the material information at the recycling point specifically includes:

[0056] Obtain material information from recycling stations, classify and process the waste at recycling stations based on the material information, and obtain inventory information for different items;

[0057] Analyze the types and weight of waste based on inventory information of different items;

[0058] Based on the type of waste, analyze the inventory information of waste types at recycling stations;

[0059] Based on the weight analysis of waste, inventory information of waste weight at recycling stations;

[0060] The total temporary inventory information of the recycling station is calculated based on inventory information of waste type and waste weight.

[0061] Thirdly, embodiments of this application also provide a computer-readable storage medium, which includes a waste sorting and mixing weighing method program based on RFID and GPS scheduling. When the waste sorting and mixing weighing method program based on RFID and GPS scheduling is executed by a processor, it implements the steps of the waste sorting and mixing weighing method based on RFID and GPS scheduling as described in any of the above claims.

[0062] As can be seen from the above, the waste sorting and mixed-loading weighing method, system, and medium provided in this application embodiment, based on RFID and GPS scheduling, obtains the location information of recycling points, matches a unique identifier to each recycling point, and obtains the material information of the recycling point based on the identifier; analyzes the temporary inventory information based on the material information of the recycling point, and determines whether the temporary inventory information is greater than or equal to the set inventory warning value; if it is greater than or equal to the set inventory warning value, it triggers a warning interaction and a collection demand instruction; generates a collection order based on the collection demand instruction, dispatches collection vehicles based on the collection order, plans the travel route of the collection vehicles, obtains the capacity of the collection vehicles, and then... Materials of the same type at recycling points are loaded and weighed to obtain loading weight information. When the loading weight information meets the set weight threshold, the collection vehicle is controlled to transport the materials to the unloading point for unloading. The materials are weighed in real time to obtain unloading weight information, and the unloading point of the collection vehicle is adjusted based on the unloading weight information. If the unloading weight is less than the set inventory warning value, the temporary inventory information continues to be monitored and transmitted to the terminal in real time. By mixing and weighing various types of dry waste and being able to distinguish accurate weights, the efficiency of dry waste collection, sorting, and warehousing can be effectively improved, reducing energy consumption and carbon emissions in the process, and realizing the significance and value of waste sorting. Attached Figure Description

[0063] To more clearly illustrate the technical solutions of the embodiments of this application, the accompanying drawings used in the embodiments of this application will be briefly introduced below. It should be understood that the following drawings only show some embodiments of this application and should not be regarded as a limitation of the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0064] Figure 1 A flowchart of a waste sorting and mixed weighing method based on RFID and GPS scheduling provided in this application embodiment;

[0065] Figure 2 A flowchart illustrating the collection demand instruction generation process for a waste sorting and mixed-load weighing method based on RFID and GPS scheduling provided in this application embodiment;

[0066] Figure 3 A schematic diagram of sorting center dispatch for a waste sorting and mixed weighing method based on RFID and GPS scheduling provided in an embodiment of this application;

[0067] Figure 4 A schematic diagram of material loading at a recycling point for a waste sorting and mixed weighing method based on RFID and GPS scheduling provided in an embodiment of this application;

[0068] Figure 5 A schematic diagram of a waste collection vehicle unloading a waste sorting and weighing method based on RFID and GPS scheduling, provided in an embodiment of this application.

[0069] Figure 6 This is a schematic diagram illustrating the unloading of different types of goods in the waste sorting and mixed weighing method based on RFID and GPS scheduling, as provided in the embodiments of this application. Detailed Implementation

[0070] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of the embodiments. The components of the embodiments of this application described and shown in the accompanying drawings can generally be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of this application provided in the accompanying drawings is not intended to limit the scope of the claimed application, but merely represents selected embodiments of this application. All other embodiments obtained by those skilled in the art based on the embodiments of this application without inventive effort are within the scope of protection of this application.

[0071] It should be noted that similar reference numerals and letters in the following figures indicate similar items; therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures. Furthermore, in the description of this application, the terms "first," "second," etc., are used only to distinguish descriptions and should not be construed as indicating or implying relative importance.

[0072] Please refer to Figure 1 , Figure 1 This is a flowchart of a waste sorting and mixing weighing method based on RFID and GPS scheduling, as described in some embodiments of this application. This waste sorting and mixing weighing method based on RFID and GPS scheduling is used in a terminal device and includes the following steps:

[0073] S101, Obtain the location information of the recycling point, match a unique identifier for each recycling site, and obtain the material information of the recycling point based on the identifier;

[0074] S102, Analyze the temporary inventory information based on the material information of the recycling point, and determine whether the temporary inventory information is greater than or equal to the set inventory warning value;

[0075] S103, if the inventory warning value is greater than or equal to the set value, then a warning interaction and clearance request instruction will be triggered.

[0076] S104: Generate a collection order based on the collection demand instruction, dispatch a collection vehicle based on the collection order, plan the collection vehicle route, obtain the collection vehicle capacity, load different types of recycling point materials and weigh them to obtain the loading weight information.

[0077] S105, when the loading weight information meets the set weight threshold, the cleaning vehicle is controlled to transport to the unloading point, unload the materials at the recycling point, and weigh them in real time to obtain the unloading weight information. The unloading point of the cleaning vehicle is adjusted based on the unloading weight information.

[0078] S106 If the inventory level is less than the set inventory warning value, continue to monitor the temporary inventory information and transmit the temporary inventory information to the terminal in real time.

[0079] According to an embodiment of the present invention, the location information of recycling points is obtained, a unique identifier is matched for each recycling site, and material information of the recycling point is obtained based on the identifier, specifically including:

[0080] Obtain the location information of recycling points and match a unique identifier for each site;

[0081] The software system inputs and recognizes symbols to generate collected data, which is then converted into recognizable QR code material information.

[0082] The item code is entered based on the QR code material information, and the item's category, weight, value, and image information are generated.

[0083] The QR code material information is associated with the QR code information of the recycling point to form an attribution relationship. Based on the attribution relationship, waste is sorted at different recycling points to obtain material information at different recycling points.

[0084] It should be noted that, as Figure 2 As shown, numerous recycling points are distributed across a large area. Externally, the distribution of these points is primarily related to the clustering of residents, residential communities, and administrative planning. Internally, it depends on whether the recycling sites can find suitable warehouses, suitable rental environments, and suitable physical environments for hardware installation. Furthermore, constrained by these factors, the geographical location and storage space of recycling points frequently change, resulting in numerous uncontrollable factors. Site parameter data also fluctuates frequently. This leads to the clustering, irregularity, and variability of the recycling point distribution.

[0085] Based on the above issues, a unique identifier is first assigned to each site. This identifier is generated and entered into the system through data collection and processing by the software system. It can be converted into a recognizable QR code for material information and this identifier cannot be tampered with.

[0086] Secondly, QR code materials are prepared in advance for the items. Each QR code corresponds to an item's code string. At this stage, there is no association between the item and the code. Thirdly, when the recycling staff at the station processes recycling orders from users through the software system, they enter the item code into the order. By entering information such as the item's category (multi-level classification is possible), weight, value, and image, the item's QR code information is also associated with the station's QR code information, establishing an attribution relationship. This ensures that different types of waste at each station can be classified using QR codes, but ultimately all belong to the same recycling station.

[0087] Through the collection and generation of the above data, regardless of changes in the physical environment and geographical location of the site, the logistics end can obtain real-time, tamper-proof temporary inventory information of different items at the corresponding waste recycling site within the recycling grid area. This information includes category, weight, and warehouse fullness (the ratio of the warehouse's historical maximum volume to its current weight-volume ratio within a specified time interval). By setting thresholds, rules for warning of temporary waste storage levels can be established. When the rules are exceeded, a collection request or warning notification can be triggered.

[0088] Warehouse overflow ratio = Current warehouse storage weight / Maximum peak storage weight of the warehouse within a set range (historical or within a specified time period);

[0089] Warning rule = set percentage threshold n. When the warehouse overflow percentage is greater than or equal to the threshold n, a warning interaction and a clearing demand instruction are triggered.

[0090] According to an embodiment of the present invention, analyzing temporary inventory information based on material information at recycling points specifically includes:

[0091] Obtain material information from recycling stations, classify and process the waste at recycling stations based on the material information, and obtain inventory information for different items;

[0092] Analyze the types and weight of waste based on inventory information of different items;

[0093] Based on the type of waste, analyze the inventory information of waste types at recycling stations;

[0094] Based on the weight analysis of waste, inventory information of waste weight at recycling stations;

[0095] The total temporary inventory information of the recycling station is calculated based on inventory information of waste type and waste weight.

[0096] According to an embodiment of the present invention, a waste collection order is generated based on a waste collection demand instruction, a waste collection vehicle is dispatched based on the waste collection order, and a waste collection vehicle route is planned, specifically including:

[0097] Obtain inventory information and analyze the warehouse fullness of recycling sites based on the inventory information;

[0098] Compare the warehouse overflow level with the overflow warning threshold;

[0099] If the warehouse overflow level is greater than or equal to the overflow warning threshold, a removal request instruction is generated, and a removal order is generated based on the removal request instruction;

[0100] Based on the waste collection orders, dispatch waste collection vehicles and obtain their location information, and plan the vehicle routes based on the location information.

[0101] If the warehouse overflow level is less than the overflow warning threshold, inventory information will be monitored in real time.

[0102] It should be noted that, as Figure 3 As shown, a distributed driver cluster management nested rule is formed.

[0103] First, each station has its own latitude and longitude information. Within a large geographical area, a ring-shaped spatial distribution is set according to physical factors to reflect the distribution and density of the stations.

[0104] Secondly, based on the drivers' familiarity with the routes and their historical experience at the sorting center, traffic conditions, and administrative divisions, multiple correspondences between vehicles and stations are established, namely, which drivers can clear which stations, and which stations can call which drivers.

[0105] Furthermore, when a waste disposal demand arises, orders are pushed out according to filtering and sorting rules, and appointment orders (i.e., appointment orders that are not for the same day or are not immediate) can also be generated.

[0106] Filtering rules for demand orders: A binding relationship must exist before a clearance order can be pushed.

[0107] Order display and sorting rules: Based on the driver's GPS location information, prioritize pushing orders that are closest in a straight line.

[0108] Priority will be given to displaying appointments that are not scheduled for the same day. The system or staff can initiate appointments in advance to facilitate pre-planning of routes for waste removal.

[0109] Meanwhile, a reward system is implemented for clearance orders that are far from the sorting center loop to ensure timely clearance.

[0110] The system efficiently executes the order-grabbing and order-dispatch logic for waste collection, while also incorporating reward rules. When a driver accepts an order, the system invokes effective route planning.

[0111] By effectively combining the system's algorithms and human experience, the display logic of waste collection orders is optimized through distance algorithms. At the same time, due to traffic factors, the straight-line distance may lead to a long driving distance. The location of waste collection order stations can be viewed in real time via GPS positioning, and the map interface can be accessed to plan the route.

[0112] By setting the distance between the ring-shaped warehouse and the central warehouse, different reward rules are given to the clearing orders of different ring-shaped warehouses to ensure that clearing orders in all areas can be completed in a timely manner.

[0113] Setting up filtering rules for binding drivers and stations can ensure the efficiency and accuracy of order dispatching and acceptance when encountering special vehicle types or other special circumstances, while also ensuring that the relationship between the waste collection drivers and stations remains within a reasonable range, thus avoiding behavioral risks.

[0114] It should be noted that the affinity between drivers and stations is directly related to the frequency of reception, the duration of collection, and the interval between receptions, and can be adjusted through weighting.

[0115] According to an embodiment of the present invention, the capacity of the waste collection vehicle is obtained, different types of materials from recycling points are loaded and weighed to obtain loading weight information, specifically including:

[0116] The garbage truck accepts garbage collection orders. Each garbage collection order forms a loading batch, which includes the types of garbage items in the batch.

[0117] Based on the collection order, the collection vehicle is moved to the collection point, and the item code information is entered for scanning and loading.

[0118] Based on the RFID identification device, the driver's stop time is identified and recorded. When the driver scans the code to enter the item information for loading, the system analyzes whether the item category and batch category are correct.

[0119] If an incorrect category is found during barcode scanning, i.e., the item category and batch category are inconsistent, then data entry will not be allowed.

[0120] If correct, the loading operation will be carried out after the data entry is completed, and the loading weight information will be obtained in real time.

[0121] It should be noted that, as Figure 4 As shown, establish the loading and unloading sequence rules for mixed goods and stations, and perform effective logical verification and marking.

[0122] During the processing of the waste disposal order, the driver plans the route and loads the items at different stations in a timely manner.

[0123] First, orders are accepted (multiple orders can be accepted in advance, and loading routes can be pre-planned). Each accepted order creates a batch in the system (a batch is only created after an order is accepted). The batch includes the type of waste items in the batch, and loading options will appear for the batch. Loading requires entering item code information. Drivers can accept multiple orders from multiple stations, and loading can only begin after an order is accepted and the item code is scanned.

[0124] Secondly, each vehicle is equipped with an RFID radio frequency identification device. When the driver arrives at the station according to the planned route, the station is equipped with an RFID identification device. At the loading position, the time when the driver stops can be identified and recorded. When the driver scans the code to enter the item information for loading, the association relationship in Method 1 is verified. That is, when loading items from station A, only items belonging to the batch set by station A can be scanned and entered. If the category is incorrect when scanning, i.e., the item category is inconsistent with the batch category, or the station affiliation is incorrect, i.e., the item barcode does not belong to the station, then entry is not allowed.

[0125] Next, after the data entry is completed, the loading is completed, and the system marks the loading status as complete. When the vehicle arrives at the next station, the next batch of items will be scanned and loaded. At this point, the batch loading is complete, and barcode data is collected, including data such as the batch category, vehicle information (vehicle model, vehicle volume, loaded volume), estimated loading weight (i.e., the weight of the barcode), loading time, and loading completion time.

[0126] Batch estimated weight = sum(weight information contained in the entered barcode);

[0127] Vehicle volume = the model's historical maximum weight or the average weight within a specified range;

[0128] Installed vehicle volume = estimated batch weight;

[0129] Ultimately, this operation resulted in n batches in the system that were marked as loaded and awaiting weighing, each batch marked with its loading order.

[0130] Mixing multiple batches can ensure the maximum efficiency of vehicle capacity utilization and improve vehicle utilization efficiency.

[0131] By accepting logistics orders and entering items, the system records the loading sequence of batches. At the same time, through RFID identification equipment in the station, it can ensure that the loading sequence is consistent with the actual arrival sequence. When anomalies or discrepancies occur, it can provide effective early warnings.

[0132] Simultaneously, by analyzing the attribution relationship between items and stations, and the correspondence between items and batch categories, the accuracy of item entry is ensured, eliminating interference from illegal and incorrect information. Information such as weight stored in the item's QR code can be used to estimate loading weight, thereby predicting vehicle fullness. When a driver accepts another order, inventory information from other stations can be used to rationally select orders, ensuring optimal use of remaining vehicle space.

[0133] According to an embodiment of the present invention, the waste collection vehicle is controlled to transport materials to the unloading point, unload the materials at the recycling point, and weigh the materials in real time to obtain the unloading weight information. Based on the unloading weight information, the unloading point of the waste collection vehicle is adjusted. Specifically, this includes:

[0134] Obtain the batches that have been loaded, mark the loading order, and unload in reverse order according to the loading order to obtain the unloading order;

[0135] Control the garbage trucks to enter the weighbridge identification area, identify the vehicle's RFID code based on RFID equipment, and identify the license plate based on camera capture device;

[0136] If a batch of goods that has been loaded meets the set unloading conditions, the gate will be opened to allow the vehicle to pass through the weighbridge. After the vehicle passes through, it will drive into the weighbridge for weighing.

[0137] After weighing, the transport vehicle travels to the unloading point and unloads the goods according to the unloading sequence.

[0138] It should be noted that, as Figure 5 As shown, when the vehicle's capacity is full, the batches that have been loaded need to return to the central warehouse sorting center for weighing and unloading.

[0139] First, the batches that have been loaded in the system have been marked with the loading order. During loading, the first batches are loaded and the last are unloaded, and the first batches are unloaded and the last are loaded. Therefore, the weighing order is completed in reverse order of loading.

[0140] When a driver enters the weighbridge identification area, the RFID device identifies the vehicle's RFID code, while a camera captures the license plate. The system can be set to allow vehicles to pass through the weighbridge once either or both of these conditions are met and verified. After being allowed to pass, the vehicle drives into the weighbridge for weighing.

[0141] Secondly, each batch needs to be weighed twice to calculate the accurate weight. The first weighing is of the entire vehicle, and the second weighing is after unloading. The weight of the unloaded items is accurately calculated from the difference in the absolute weight of the two weighings.

[0142] Secondly, when multiple batches are mixed in one vehicle, each batch does not need to be weighed repeatedly. For example, the second weighing of the first batch is the first weighing of the second batch, and so on, completing the cyclical weighing and uploading of the data in reverse order of loading. The weighing time and weight are recorded for each batch. That is, if a vehicle contains two mixed batches, it only needs to be weighed three times.

[0143] Simultaneously, after each batch of goods is unloaded, the software needs to mark the batch as unloaded and select the unloading point. Since different types of waste may be mixed in the same vehicle, they need to be unloaded to different points. Some waste, such as bagged waste, requires fine sorting and is unloaded to the sorting line. Other waste, such as large quantities of glass, needs to be unloaded directly to the glass processing workshop. RFID identification devices are set up at different unloading points, and the stopping time is recorded after the vehicle stops to unload. When data anomalies occur, the driver's selected unloading point and the RFID identification point can be traced, and warnings can be issued when discrepancies or anomalies occur.

[0144] The net weight of batch n (the last batch loaded) = the weight of the entire vehicle on the first weighing - the weight of batch n on the second weighing after unloading;

[0145] Net weight of batch n-1 = weight of the second weighing after unloading batch n - weight of the third weighing after unloading batch n-1;

[0146] Net weight of batch n-2 = weight of the third weighing after unloading batch n-1 - weight of the fourth weighing after unloading batch n-2;

[0147] Similarly, there is no need to repeatedly weigh and upload data. The loading and unloading weights between batches can be synchronized in order, which is based on the reverse order of loading.

[0148] Mixed loading of multiple batches can essentially maximize the load capacity of each vehicle. Furthermore, mixed loading can efficiently reduce transport distances and optimize routes, thereby reducing energy consumption and increasing the efficiency of each vehicle's single trip.

[0149] The loading order is marked, while the unloading order is reversed. If a truck only loads one batch, it needs to be weighed twice. The accurate weight of the waste is calculated by the difference between the two weighings. In mixed batches, the weighing after each batch is unloaded is the loading weight of the next batch to be unloaded, which reduces the number of weighings and greatly improves weighing efficiency.

[0150] The weighbridge uses RFID devices and cameras to automatically open and close the gate. Multiple conditions are considered to accurately determine the level of stringency. For example, in rainy weather, if the camera image is blurry, RFID identification can be used for passage. If the RFID reader malfunctions or is insensitive, the camera image can be used to determine whether the vehicle can pass. The system is more flexible, with improved tolerance and configurability. For high-value items or precious metals, both camera and RFID verification can be required before passage.

[0151] By using unmanned weighbridges, data is recorded after each weighing, and the weighing data for each batch is uploaded. The batches are categorized and a complete data chain is generated for each mixed batch, including a unique batch number, the station of origin, the weight of the loaded items (including barcodes), the contents, the weight of each weighing, the final net weight, the arrival time via RFID, the loading time, the completion time of loading, the weighing time, and the RFID identification time at the unloading point. This system accurately records the weight of goods, effectively traces the source of problems, and provides timely warnings. The unmanned weighing and identification process also significantly reduces labor costs and improves efficiency.

[0152] like Figure 6 As shown in the embodiment of the present invention, it further includes: after the garbage is collected and weighed, it needs to be sorted and stored according to its characteristics, and the storage location is assigned, distributed and verified in the system and IoT devices.

[0153] Bagged waste requiring mechanical coarse sorting can be sent to the robotic arm sorting line; heavy metal waste and hazardous waste requiring manual sorting and identification can be sent to the manual sorting line; glass needs to be sent to the safe crushing workshop; and valuable items such as paper products need to be inspected and compressed in the packaging workshop. RFID identification devices are installed at each sorting station to identify the vehicle code when the vehicle stops and record the identification time.

[0154] First, after the batch of items is weighed, the workshop sign will distribute the items to the sorting group according to the characteristics of the batch (data is entered in Method 1, and the batch is generated with waste category attributes). On the warehouse area dispatch screen, the system will prioritize the sorting positions with less queue and less free time based on the busyness and queuing level of each sorting position, and instruct vehicles to enter.

[0155] Secondly, after the vehicle arrives at the sorting station, the RFID device at the sorting and unloading port identifies the vehicle's device code, records and uploads the vehicle's parking time and vehicle information. Tolerance is allowed, such as ensuring the correct product category, but strict requirements can also be imposed, such as requiring unloading at the system's specified locations; otherwise, an alert will be issued. This is adjustable.

[0156] Next, the driver selects the actual unloading location on the software system and completes the batch unloading marking.

[0157] The above operations complete the weighing and unloading process for one batch, while also verifying system assignment, equipment identification, and manual selection. Any anomalies can be alerted and adjustments made promptly.

[0158] The system diverts and guides unloading based on the busyness of the sorting stations; it records sorting and unloading information through multiple interfaces, and can issue warnings and make timely adjustments if anomalies are detected, and trace the source data for investigation; it can guide vehicles to fixed locations for unloading according to different waste characteristics, realizing differentiated waste processing and warehousing, maximizing the standardization, normalization, and unmanned operation of the back-end processing of mixed waste, and improving efficiency.

[0159] In summary, this application utilizes QR code technology, RFID (Radio Frequency Identification), an IoT-enabled intelligent unmanned weighbridge, and a GPS route planning technology-based dynamic mixed-loading weighing algorithm system and storage medium for dry waste. QR code technology enables hierarchical attribution from the site to the item, providing a foundation for data traceability. It also monitors real-time inventory warnings and scheduling data via QR code information. Regionally distributed driver configuration and rule filtering, along with loop reward rules, facilitate the flow and rational allocation of pre-arranged orders. Batch pre-assignment and order acceptance ensure the sequence and accuracy of loading and unloading. RFID IoT devices integrated with unmanned weighbridges enable point identification and monitoring of weighing and unloading locations, release control, cyclic gate opening verification, data uploading, and time data recording. Pre-arranged orders and GPS route planning recommend transportation orders and plan routes. Finally, sorting based on busyness levels allows for the rational batch unloading and warehousing of different categories of waste.

[0160] Secondly, embodiments of this application provide a waste sorting and mixed-loading weighing system based on RFID and GPS scheduling. The system includes a memory and a processor. The memory includes a program for a waste sorting and mixed-loading weighing method based on RFID and GPS scheduling. When the program is executed by the processor, it implements the following steps:

[0161] Obtain the location information of recycling points, match a unique identifier to each recycling site, and obtain the material information of the recycling point based on the identifier;

[0162] Based on the material information at the recycling point, analyze the temporary inventory information to determine whether the temporary inventory information is greater than or equal to the set inventory warning value.

[0163] If the inventory level is greater than or equal to the set warning value, a warning interaction and a clearance request instruction will be triggered.

[0164] Based on the collection demand command, a collection order is generated, a collection vehicle is dispatched based on the collection order, the collection vehicle route is planned, the collection vehicle capacity is obtained, different types of recycling point materials are loaded and weighed to obtain the loading weight information.

[0165] When the loading weight information meets the set weight threshold, the cleaning vehicle is controlled to transport the material to the unloading point, unload the material at the recycling point, and weigh it in real time to obtain the unloading weight information. The unloading point of the cleaning vehicle is then adjusted based on the unloading weight information.

[0166] If the inventory level is lower than the set warning value, the system will continue to monitor the temporary inventory information and transmit the information to the terminal in real time.

[0167] According to an embodiment of the present invention, the location information of recycling points is obtained, a unique identifier is matched for each recycling site, and material information of the recycling point is obtained based on the identifier, specifically including:

[0168] Obtain the location information of recycling points and match a unique identifier for each site;

[0169] The software system inputs and recognizes symbols to generate collected data, which is then converted into recognizable QR code material information.

[0170] The item code is entered based on the QR code material information, and the item's category, weight, value, and image information are generated.

[0171] The QR code material information is associated with the QR code information of the recycling point to form an attribution relationship. Based on the attribution relationship, waste is sorted at different recycling points to obtain material information at different recycling points.

[0172] It should be noted that, as Figure 2As shown, numerous recycling points are distributed across a large area. Externally, the distribution of these points is primarily related to the clustering of residents, residential communities, and administrative planning. Internally, it depends on whether the recycling sites can find suitable warehouses, suitable rental environments, and suitable physical environments for hardware installation. Furthermore, constrained by these factors, the geographical location and storage space of recycling points frequently change, resulting in numerous uncontrollable factors. Site parameter data also fluctuates frequently. This leads to the clustering, irregularity, and variability of the recycling point distribution.

[0173] Based on the above issues, a unique identifier is first assigned to each site. This identifier is generated and entered into the system through data collection and processing by the software system. It can be converted into a recognizable QR code for material information and this identifier cannot be tampered with.

[0174] Secondly, QR code materials are prepared in advance for the items. Each QR code corresponds to an item's code string. At this stage, there is no association between the item and the code. Thirdly, when the recycling staff at the station processes recycling orders from users through the software system, they enter the item code into the order. By entering information such as the item's category (multi-level classification is possible), weight, value, and image, the item's QR code information is also associated with the station's QR code information, establishing an attribution relationship. This ensures that different types of waste at each station can be classified using QR codes, but ultimately all belong to the same recycling station.

[0175] Through the collection and generation of the above data, regardless of changes in the physical environment and geographical location of the site, the logistics end can obtain real-time, tamper-proof temporary inventory information of different items at the corresponding waste recycling site within the recycling grid area. This information includes category, weight, and warehouse fullness (the ratio of the warehouse's historical maximum volume to its current weight-volume ratio within a specified time interval). By setting thresholds, rules for warning of temporary waste storage levels can be established. When the rules are exceeded, a collection request or warning notification can be triggered.

[0176] Warehouse overflow ratio = Current warehouse storage weight / Maximum peak storage weight of the warehouse within a set range (historical or within a specified time period);

[0177] Warning rule = set percentage threshold n. When the warehouse overflow percentage is greater than or equal to the threshold n, a warning interaction and a clearing demand instruction are triggered.

[0178] According to an embodiment of the present invention, analyzing temporary inventory information based on material information at recycling points specifically includes:

[0179] Obtain material information from recycling stations, classify and process the waste at recycling stations based on the material information, and obtain inventory information for different items;

[0180] Analyze the types and weight of waste based on inventory information of different items;

[0181] Based on the type of waste, analyze the inventory information of waste types at recycling stations;

[0182] Based on the weight analysis of waste, inventory information of waste weight at recycling stations;

[0183] The total temporary inventory information of the recycling station is calculated based on inventory information of waste type and waste weight.

[0184] According to an embodiment of the present invention, a waste collection order is generated based on a waste collection demand instruction, a waste collection vehicle is dispatched based on the waste collection order, and a waste collection vehicle route is planned, specifically including:

[0185] Obtain inventory information and analyze the warehouse fullness of recycling sites based on the inventory information;

[0186] Compare the warehouse overflow level with the overflow warning threshold;

[0187] If the warehouse overflow level is greater than or equal to the overflow warning threshold, a removal request instruction is generated, and a removal order is generated based on the removal request instruction;

[0188] Based on the waste collection orders, dispatch waste collection vehicles and obtain their location information, and plan the vehicle routes based on the location information.

[0189] If the warehouse overflow level is less than the overflow warning threshold, inventory information will be monitored in real time.

[0190] It should be noted that, as Figure 3 As shown, a distributed driver cluster management nested rule is formed.

[0191] First, each station has its own latitude and longitude information. Within a large geographical area, a ring-shaped spatial distribution is set according to physical factors to reflect the distribution and density of the stations.

[0192] Secondly, based on the drivers' familiarity with the routes and their historical experience at the sorting center, traffic conditions, and administrative divisions, multiple correspondences between vehicles and stations are established, namely, which drivers can clear which stations, and which stations can call which drivers.

[0193] Furthermore, when a waste disposal demand arises, orders are pushed out according to filtering and sorting rules, and appointment orders (i.e., appointment orders that are not for the same day or are not immediate) can also be generated.

[0194] Filtering rules for demand orders: A binding relationship must exist before a clearance order can be pushed.

[0195] Order display and sorting rules: Based on the driver's GPS location information, prioritize pushing orders that are closest in a straight line.

[0196] Priority will be given to displaying appointments that are not scheduled for the same day. The system or staff can initiate appointments in advance to facilitate pre-planning of routes for waste removal.

[0197] Meanwhile, a reward system is implemented for clearance orders that are far from the sorting center loop to ensure timely clearance.

[0198] The system efficiently executes the order-grabbing and order-dispatch logic for waste collection, while also incorporating reward rules. When a driver accepts an order, the system invokes effective route planning.

[0199] By effectively combining the system's algorithms and human experience, the display logic of waste collection orders is optimized through distance algorithms. At the same time, due to traffic factors, the straight-line distance may lead to a long driving distance. The location of waste collection order stations can be viewed in real time via GPS positioning, and the map interface can be accessed to plan the route.

[0200] By setting the distance between the ring-shaped warehouse and the central warehouse, different reward rules are given to the clearing orders of different ring-shaped warehouses to ensure that clearing orders in all areas can be completed in a timely manner.

[0201] Setting up filtering rules for binding drivers and stations can ensure the efficiency and accuracy of order dispatching and acceptance when encountering special vehicle types or other special circumstances, while also ensuring that the relationship between the waste collection drivers and stations remains within a reasonable range, thus avoiding behavioral risks.

[0202] It should be noted that the affinity between drivers and stations is directly related to the frequency of reception, the duration of collection, and the interval between receptions, and can be adjusted through weighting.

[0203] According to an embodiment of the present invention, the capacity of the waste collection vehicle is obtained, different types of materials from recycling points are loaded and weighed to obtain loading weight information, specifically including:

[0204] The garbage truck accepts garbage collection orders. Each garbage collection order forms a loading batch, which includes the types of garbage items in the batch.

[0205] Based on the collection order, the collection vehicle is moved to the collection point, and the item code information is entered for scanning and loading.

[0206] Based on the RFID identification device, the driver's stop time is identified and recorded. When the driver scans the code to enter the item information for loading, the system analyzes whether the item category and batch category are correct.

[0207] If an incorrect category is found during barcode scanning, i.e., the item category and batch category are inconsistent, then data entry will not be allowed.

[0208] If correct, the loading operation will be carried out after the data entry is completed, and the loading weight information will be obtained in real time.

[0209] It should be noted that, as Figure 4 As shown, establish the loading and unloading sequence rules for mixed goods and stations, and perform effective logical verification and marking.

[0210] During the processing of the waste disposal order, the driver plans the route and loads the items at different stations in a timely manner.

[0211] First, orders are accepted (multiple orders can be accepted in advance, and loading routes can be pre-planned). Each accepted order creates a batch in the system (a batch is only created after an order is accepted). The batch includes the type of waste items in the batch, and loading options will appear for the batch. Loading requires entering item code information. Drivers can accept multiple orders from multiple stations, and loading can only begin after an order is accepted and the item code is scanned.

[0212] Secondly, each vehicle is equipped with an RFID radio frequency identification device. When the driver arrives at the station according to the planned route, the station is equipped with an RFID identification device. At the loading position, the time when the driver stops can be identified and recorded. When the driver scans the code to enter the item information for loading, the association relationship in Method 1 is verified. That is, when loading items from station A, only items belonging to the batch set by station A can be scanned and entered. If the category is incorrect when scanning, i.e., the item category is inconsistent with the batch category, or the station affiliation is incorrect, i.e., the item barcode does not belong to the station, then entry is not allowed.

[0213] Next, after the data entry is completed, the loading is completed, and the system marks the loading status as complete. When the vehicle arrives at the next station, the next batch of items will be scanned and loaded. At this point, the batch loading is complete, and barcode data is collected, including data such as the batch category, vehicle information (vehicle model, vehicle volume, loaded volume), estimated loading weight (i.e., the weight of the barcode), loading time, and loading completion time.

[0214] Batch estimated weight = sum(weight information contained in the entered barcode);

[0215] Vehicle volume = the model's historical maximum weight or the average weight within a specified range;

[0216] Installed vehicle volume = estimated batch weight;

[0217] Ultimately, this operation resulted in n batches in the system that were marked as loaded and awaiting weighing, each batch marked with its loading order.

[0218] Mixing multiple batches can ensure the maximum efficiency of vehicle capacity utilization and improve vehicle utilization efficiency.

[0219] By accepting logistics orders and entering items, the system records the loading sequence of batches. At the same time, through RFID identification equipment in the station, it can ensure that the loading sequence is consistent with the actual arrival sequence. When anomalies or discrepancies occur, it can provide effective early warnings.

[0220] Simultaneously, by analyzing the attribution relationship between items and stations, and the correspondence between items and batch categories, the accuracy of item entry is ensured, eliminating interference from illegal and incorrect information. Information such as weight stored in the item's QR code can be used to estimate loading weight, thereby predicting vehicle fullness. When a driver accepts another order, inventory information from other stations can be used to rationally select orders, ensuring optimal use of remaining vehicle space.

[0221] According to an embodiment of the present invention, the waste collection vehicle is controlled to transport materials to the unloading point, unload the materials at the recycling point, and weigh the materials in real time to obtain the unloading weight information. Based on the unloading weight information, the unloading point of the waste collection vehicle is adjusted. Specifically, this includes:

[0222] Obtain the batches that have been loaded, mark the loading order, and unload in reverse order according to the loading order to obtain the unloading order;

[0223] Control the garbage trucks to enter the weighbridge identification area, identify the vehicle's RFID code based on RFID equipment, and identify the license plate based on camera capture device;

[0224] If a batch of goods that has been loaded meets the set unloading conditions, the gate will be opened to allow the vehicle to pass through the weighbridge. After the vehicle passes through, it will drive into the weighbridge for weighing.

[0225] After weighing, the transport vehicle travels to the unloading point and unloads the goods according to the unloading sequence.

[0226] It should be noted that, as Figure 5 As shown, when the vehicle's capacity is full, the batches that have been loaded need to return to the central warehouse sorting center for weighing and unloading.

[0227] First, the batches that have been loaded in the system have been marked with the loading order. During loading, the first batches are loaded and the last are unloaded, and the first batches are unloaded and the last are loaded. Therefore, the weighing order is completed in reverse order of loading.

[0228] When a driver enters the weighbridge identification area, the RFID device identifies the vehicle's RFID code, while a camera captures the license plate. The system can be set to allow vehicles to pass through the weighbridge once either or both of these conditions are met and verified. After being allowed to pass, the vehicle drives into the weighbridge for weighing.

[0229] Secondly, each batch needs to be weighed twice to calculate the accurate weight. The first weighing is of the entire vehicle, and the second weighing is after unloading. The weight of the unloaded items is accurately calculated from the difference in the absolute weight of the two weighings.

[0230] Secondly, when multiple batches are mixed in one vehicle, each batch does not need to be weighed repeatedly. For example, the second weighing of the first batch is the first weighing of the second batch, and so on, completing the cyclical weighing and uploading of the data in reverse order of loading. The weighing time and weight are recorded for each batch. That is, if a vehicle contains two mixed batches, it only needs to be weighed three times.

[0231] Simultaneously, after each batch of goods is unloaded, the software needs to mark the batch as unloaded and select the unloading point. Since different types of waste may be mixed in the same vehicle, they need to be unloaded to different points. Some waste, such as bagged waste, requires fine sorting and is unloaded to the sorting line. Other waste, such as large quantities of glass, needs to be unloaded directly to the glass processing workshop. RFID identification devices are set up at different unloading points, and the stopping time is recorded after the vehicle stops to unload. When data anomalies occur, the driver's selected unloading point and the RFID identification point can be traced, and warnings can be issued when discrepancies or anomalies occur.

[0232] The net weight of batch n (the last batch loaded) = the weight of the entire vehicle on the first weighing - the weight of batch n on the second weighing after unloading;

[0233] Net weight of batch n-1 = weight of the second weighing after unloading batch n - weight of the third weighing after unloading batch n-1;

[0234] Net weight of batch n-2 = weight of the third weighing after unloading batch n-1 - weight of the fourth weighing after unloading batch n-2;

[0235] Similarly, there is no need to repeatedly weigh and upload data. The loading and unloading weights between batches can be synchronized in order, which is based on the reverse order of loading.

[0236] Mixed loading of multiple batches can essentially maximize the load capacity of each vehicle. Furthermore, mixed loading can efficiently reduce transport distances and optimize routes, thereby reducing energy consumption and increasing the efficiency of each vehicle's single trip.

[0237] The loading order is marked, while the unloading order is reversed. If a truck only loads one batch, it needs to be weighed twice. The accurate weight of the waste is calculated by the difference between the two weighings. In mixed batches, the weighing after each batch is unloaded is the loading weight of the next batch to be unloaded, which reduces the number of weighings and greatly improves weighing efficiency.

[0238] The weighbridge uses RFID devices and cameras to automatically open and close the gate. Multiple conditions are considered to accurately determine the level of stringency. For example, in rainy weather, if the camera image is blurry, RFID identification can be used for passage. If the RFID reader malfunctions or is insensitive, the camera image can be used to determine whether the vehicle can pass. The system is more flexible, with improved tolerance and configurability. For high-value items or precious metals, both camera and RFID verification can be required before passage.

[0239] By using unmanned weighbridges, data is recorded after each weighing, and the weighing data for each batch is uploaded. The batches are categorized and a complete data chain is generated for each mixed batch, including a unique batch number, the station of origin, the weight of the loaded items (including barcodes), the contents, the weight of each weighing, the final net weight, the arrival time via RFID, the loading time, the completion time of loading, the weighing time, and the RFID identification time at the unloading point. This system accurately records the weight of goods, effectively traces the source of problems, and provides timely warnings. The unmanned weighing and identification process also significantly reduces labor costs and improves efficiency.

[0240] It should be noted that, as Figure 6 As shown in the embodiment of the present invention, it further includes: after the garbage is collected and weighed, it needs to be sorted and stored according to its characteristics, and the storage location is assigned, distributed and verified in the system and IoT devices.

[0241] Bagged waste requiring mechanical coarse sorting can be sent to the robotic arm sorting line; heavy metal waste and hazardous waste requiring manual sorting and identification can be sent to the manual sorting line; glass needs to be sent to the safe crushing workshop; and valuable items such as paper products need to be inspected and compressed in the packaging workshop. RFID identification devices are installed at each sorting station to identify the vehicle code when the vehicle stops and record the identification time.

[0242] First, after the batch of items is weighed, the workshop sign will distribute the items to the sorting group according to the characteristics of the batch (data is entered in Method 1, and the batch is generated with waste category attributes). On the warehouse area dispatch screen, the system will prioritize the sorting positions with less queue and less free time based on the busyness and queuing level of each sorting position, and instruct vehicles to enter.

[0243] Secondly, after the vehicle arrives at the sorting station, the RFID device at the sorting and unloading port identifies the vehicle's device code, records and uploads the vehicle's parking time and vehicle information. Tolerance is allowed, such as ensuring the correct product category, but strict requirements can also be imposed, such as requiring unloading at the system's specified locations; otherwise, an alert will be issued. This is adjustable.

[0244] Next, the driver selects the actual unloading location on the software system and completes the batch unloading marking.

[0245] The above operations complete the weighing and unloading process for one batch, while also verifying system assignment, equipment identification, and manual selection. Any anomalies can be alerted and adjustments made promptly.

[0246] The system diverts and guides unloading based on the busyness of the sorting stations; it records sorting and unloading information through multiple interfaces, and can issue warnings and make timely adjustments if anomalies are detected, and trace the source data for investigation; it can guide vehicles to fixed locations for unloading according to different waste characteristics, realizing differentiated waste processing and warehousing, maximizing the standardization, normalization, and unmanned operation of the back-end processing of mixed waste, and improving efficiency.

[0247] In summary, this application utilizes QR code technology, RFID (Radio Frequency Identification), an IoT-enabled intelligent unmanned weighbridge, and a GPS route planning technology-based dynamic mixed-loading weighing algorithm system and storage medium for dry waste. QR code technology enables hierarchical attribution from the site to the item, providing a foundation for data traceability. It also monitors real-time inventory warnings and scheduling data via QR code information. Regionally distributed driver configuration and rule filtering, along with loop reward rules, facilitate the flow and rational allocation of pre-arranged orders. Batch pre-assignment and order acceptance ensure the sequence and accuracy of loading and unloading. RFID IoT devices integrated with unmanned weighbridges enable point identification and monitoring of weighing and unloading locations, release control, cyclic gate opening verification, data uploading, and time data recording. Pre-arranged orders and GPS route planning recommend transportation orders and plan routes. Finally, sorting based on busyness levels allows for the rational batch unloading and warehousing of different categories of waste.

[0248] A third aspect of the present invention provides a computer-readable storage medium including a program for a waste sorting and mixing weighing method based on RFID and GPS scheduling. When the program is executed by a processor, it implements the steps of the waste sorting and mixing weighing method based on RFID and GPS scheduling as described above.

[0249] This invention discloses a method, system, and medium for weighing mixed waste sorting based on RFID and GPS scheduling. It acquires the location information of recycling points, assigns a unique identifier to each recycling station, and obtains material information at the recycling points based on the identifier. Based on the material information, it analyzes temporary inventory information to determine if the temporary inventory is greater than or equal to a set inventory warning value. If it is, it triggers a warning interaction and a collection request instruction. Based on the collection request instruction, it generates a collection order, dispatches collection vehicles based on the collection order, plans the vehicle routes, obtains the vehicle capacity, and sorts different types of waste. Materials at the recycling point are loaded and weighed to obtain loading weight information. When the loading weight information meets the set weight threshold, the collection vehicle is controlled to transport the materials to the unloading point for unloading. The materials are also weighed in real time to obtain unloading weight information, and the unloading point of the collection vehicle is adjusted based on the unloading weight information. If the unloading weight is less than the set inventory warning value, the temporary inventory information continues to be monitored and transmitted to the terminal in real time. By weighing and distinguishing the weights of various types of dry waste, the efficiency of dry waste collection, sorting, and warehousing can be effectively improved, reducing energy consumption and carbon emissions in the process, and realizing the significance and value of waste sorting.

[0250] In the several embodiments provided in this application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are merely illustrative. For example, the division of units is only a logical functional division, and in actual implementation, there may be other division methods, such as: multiple units or components can be combined, or integrated into another system, or some features can be ignored or not executed. In addition, the coupling, direct coupling, or communication connection between the various components shown or discussed can be through some interfaces, and the indirect coupling or communication connection between devices or units can be electrical, mechanical, or other forms.

[0251] The units described above as separate components may or may not be physically separate. The components shown as units may or may not be physical units. They may be located in one place or distributed across multiple network units. Some or all of the units may be selected to achieve the purpose of this embodiment according to actual needs.

[0252] In addition, in the various embodiments of the present invention, each functional unit can be integrated into one processing unit, or each unit can be a separate unit, or two or more units can be integrated into one unit; the integrated unit can be implemented in hardware or in the form of hardware plus software functional units.

[0253] Those skilled in the art will understand that all or part of the steps of the above method embodiments can be implemented by hardware related to program instructions. The aforementioned program can be stored in a readable storage medium. When the program is executed, it performs the steps of the above method embodiments. The aforementioned storage medium includes various media capable of storing program code, such as mobile storage devices, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0254] Alternatively, if the integrated units of the present invention are implemented as software functional modules and sold or used as independent products, they can also be stored in a readable storage medium. Based on this understanding, the technical solutions of the embodiments of the present invention, or the parts that contribute to the prior art, can be embodied in the form of a software product. This software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as mobile storage devices, ROM, RAM, magnetic disks, or optical disks.

Claims

1. A method for weighing mixed waste sorting based on RFID and GPS scheduling, characterized in that, include: Obtain the location information of recycling points, match a unique identifier to each recycling site, and obtain the material information of the recycling point based on the identifier; Based on the material information at the recycling point, analyze the temporary inventory information to determine whether the temporary inventory information is greater than or equal to the set inventory warning value. If the inventory level is greater than or equal to the set warning value, a warning interaction and a clearance request instruction will be triggered. Based on the collection demand command, a collection order is generated, a collection vehicle is dispatched based on the collection order, the collection vehicle route is planned, the collection vehicle capacity is obtained, different types of recycling point materials are loaded and weighed to obtain the loading weight information. When the loading weight information meets the set weight threshold, the cleaning vehicle is controlled to transport the material to the unloading point, unload the material at the recycling point, and weigh it in real time to obtain the unloading weight information. The unloading point of the cleaning vehicle is then adjusted based on the unloading weight information. If the inventory level is lower than the set warning value, the system will continue to monitor the temporary inventory information and transmit the information to the terminal in real time.

2. The waste sorting and mixed-loading weighing method based on RFID and GPS scheduling according to claim 1, characterized in that, Obtain the location information of recycling points, assign a unique identifier to each recycling site, and retrieve the material information of the recycling point based on the identifier, specifically including: Obtain the location information of recycling points and match a unique identifier for each site; The software system inputs and recognizes symbols to generate collected data, which is then converted into recognizable QR code material information. The item code is entered based on the QR code material information, and the item's category, weight, value, and image information are generated. The QR code material information is associated with the QR code information of the recycling point to form an attribution relationship. Based on the attribution relationship, waste is sorted at different recycling points to obtain material information at different recycling points.

3. The waste sorting and mixed-loading weighing method based on RFID and GPS scheduling according to claim 2, characterized in that, Based on the analysis of material information at recycling points, temporary inventory information is analyzed, specifically including: Obtain material information from recycling stations, classify and process the waste at recycling stations based on the material information, and obtain inventory information for different items; Analyze the types and weight of waste based on inventory information of different items; Based on the type of waste, analyze the inventory information of waste types at recycling stations; Based on the weight analysis of waste, inventory information of waste weight at recycling stations; The total temporary inventory information of the recycling station is calculated based on inventory information of waste type and waste weight.

4. The waste sorting and mixed-loading weighing method based on RFID and GPS scheduling according to claim 3, characterized in that, Based on the waste collection demand command, a waste collection order is generated. Based on the waste collection order, a waste collection vehicle is dispatched, and the waste collection vehicle route is planned. Specifically, this includes: Obtain inventory information and analyze the warehouse fullness of recycling sites based on the inventory information; Compare the warehouse overflow level with the overflow warning threshold; If the warehouse overflow level is greater than or equal to the overflow warning threshold, a removal request instruction is generated, and a removal order is generated based on the removal request instruction; Based on the waste collection orders, dispatch waste collection vehicles and obtain their location information, and plan the vehicle routes based on the location information. If the warehouse overflow level is less than the overflow warning threshold, inventory information will be monitored in real time.

5. The waste sorting and mixed-loading weighing method based on RFID and GPS scheduling according to claim 4, characterized in that, Obtain the capacity of the collection vehicle, load different types of materials from the recycling points, weigh them, and obtain the loading weight information, specifically including: The garbage truck accepts garbage collection orders. Each garbage collection order forms a loading batch, which includes the types of garbage items in the batch. Based on the collection order, the collection vehicle is moved to the collection point, and the item code information is entered for scanning and loading. Based on the RFID identification device, the driver's stop time is identified and recorded. When the driver scans the code to enter the item information for loading, the system analyzes whether the item category and batch category are correct. If an incorrect category is found during barcode scanning, i.e., the item category and batch category are inconsistent, then data entry will not be allowed. If correct, the loading operation will be carried out after the data entry is completed, and the loading weight information will be obtained in real time.

6. The waste sorting and mixed-loading weighing method based on RFID and GPS scheduling according to claim 5, characterized in that, Control the transport vehicles to the unloading point, unload the materials at the recycling point, and weigh them in real time to obtain the unloading weight information. Based on the unloading weight information, adjust the unloading point of the transport vehicles. Specifically, this includes: Obtain the batches that have been loaded, mark the loading order, and unload in reverse order according to the loading order to obtain the unloading order; Control the garbage trucks to enter the weighbridge identification area, identify the vehicle's RFID code based on RFID equipment, and identify the license plate based on camera capture device; If a batch of goods that has been loaded meets the set unloading conditions, the gate will be opened to allow the vehicle to pass through the weighbridge. After the vehicle passes through, it will drive into the weighbridge for weighing. After weighing, the transport vehicle travels to the unloading point and unloads the goods according to the unloading sequence.

7. A waste sorting and mixed-loading weighing system based on RFID and GPS scheduling, characterized in that, The system includes a memory and a processor. The memory contains a program for a waste sorting and weighing method based on RFID and GPS scheduling. When the processor executes the program for the waste sorting and weighing method based on RFID and GPS scheduling, it performs the following steps: Obtain the location information of recycling points, match a unique identifier to each recycling site, and obtain the material information of the recycling point based on the identifier; Based on the material information at the recycling point, analyze the temporary inventory information to determine whether the temporary inventory information is greater than or equal to the set inventory warning value. If the inventory level is greater than or equal to the set warning value, a warning interaction and a clearance request instruction will be triggered. Based on the collection demand command, a collection order is generated, a collection vehicle is dispatched based on the collection order, the collection vehicle route is planned, the collection vehicle capacity is obtained, different types of recycling point materials are loaded and weighed to obtain the loading weight information. When the loading weight information meets the set weight threshold, the cleaning vehicle is controlled to transport the material to the unloading point, unload the material at the recycling point, and weigh it in real time to obtain the unloading weight information. The unloading point of the cleaning vehicle is then adjusted based on the unloading weight information. If the inventory level is lower than the set warning value, the system will continue to monitor the temporary inventory information and transmit the information to the terminal in real time.

8. The waste sorting and mixed-loading weighing system based on RFID and GPS scheduling according to claim 7, characterized in that, Obtain the location information of recycling points, assign a unique identifier to each recycling site, and retrieve the material information of the recycling point based on the identifier, specifically including: Obtain the location information of recycling points and match a unique identifier for each site; The software system inputs and recognizes symbols to generate collected data, which is then converted into recognizable QR code material information. The item code is entered based on the QR code material information, and the item's category, weight, value, and image information are generated. The QR code material information is associated with the QR code information of the recycling point to form an attribution relationship. Based on the attribution relationship, waste is sorted at different recycling points to obtain material information at different recycling points.

9. The waste sorting and mixed-loading weighing system based on RFID and GPS scheduling according to claim 8, characterized in that, Based on the analysis of material information at recycling points, temporary inventory information is analyzed, specifically including: Obtain material information from recycling stations, classify and process the waste at recycling stations based on the material information, and obtain inventory information for different items; Analyze the types and weight of waste based on inventory information of different items; Based on the type of waste, analyze the inventory information of waste types at recycling stations; Based on the weight analysis of waste, inventory information of waste weight at recycling stations; The total temporary inventory information of the recycling station is calculated based on inventory information of waste type and waste weight.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium includes a waste sorting and mixing weighing method program based on RFID and GPS scheduling. When the waste sorting and mixing weighing method program based on RFID and GPS scheduling is executed by a processor, it implements the steps of the waste sorting and mixing weighing method based on RFID and GPS scheduling as described in any one of claims 1 to 6.

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