Intelligent garbage transfer method and equipment based on linkage of sanitation vehicle and garbage can

Abstract

The invention discloses an intelligent garbage transfer method and equipment based on linkage of a sanitation vehicle and a garbage can. The method comprises the steps that data of the garbage can, the sanitation vehicle and a garbage treatment station are collected; collecting road and operation site data, vector road network information, traffic light states and vehicle flow information; establishing a road network digital model; establishing a plurality of clearing operation templates suitable for different scenes; in combination with operation standards of different types of garbage cans and cleaning and transporting operation templates, a sanitation vehicle road transfer operation template library is formed; when the real-time capacity information of the garbage in any garbage can exceeds a preset value, the optimal working sanitation vehicle is found based on the sanitation vehicle road transfer operation template library, and task issuing is carried out on the optimal working sanitation vehicle; and after the corresponding sanitation vehicle receives the task, garbage transfer is carried out. According to the invention, an accurate and standard operation task route can be issued to the sanitation vehicle, the operation efficiency is improved, and the dynamic and efficient treatment of the dustbin is satisfied.

Description

Technical Field

[0001] The present invention belongs to the field of intelligent sanitation control, and in particular relates to an intelligent garbage transfer method and equipment based on the linkage between a sanitation vehicle and a garbage bin. Background Art

[0002] As cities continue to develop, people's requirements for living environment continue to increase. The manual garbage bin disposal method in the traditional sanitation industry can no longer meet the needs of sanitation management for garbage bin cleaning.

[0003] The traditional sanitation truck and smart garbage bin linkage transfer process is that the city operation and management personnel patrol the road garbage bin network points, register and report the garbage bin network point information, and dispatch sanitation workers and sanitation trucks for single-point processing. It is impossible to form a unified standard, which is easy to cause actual operation efficiency to decrease and waste resources, and it is impossible to systematically optimize the operation plan. Supervisors cannot grasp the dynamic information of urban garbage bins in real time, and the information that the garbage bins are full cannot be discovered and dispatched in time.

[0004] CN113344262A discloses an intelligent garbage collection and transportation system and method based on urban garbage classification. However, the garbage collection and transportation does not take into account the transfer solutions for garbage bins of different classifications and different operation scenarios, and the processing costs such as sanitation operation equipment and manual processing are wasted during task planning. Summary of the invention

[0005] In order to solve the above technical problems, the present invention proposes an intelligent garbage transfer method and equipment based on the linkage between a sanitation vehicle and a garbage bin.

[0006] On the one hand, the present invention discloses a method for intelligent garbage transfer based on the linkage between a sanitation vehicle and a garbage bin, comprising:

[0007] Step S1: Collect information about the type of each garbage bin, the location of the garbage bin, and the real-time capacity of garbage in the garbage bin;

[0008] Collect the vehicle type, vehicle location, vehicle capacity and transportation data of each sanitation vehicle;

[0009] Collect the location of each garbage disposal station;

[0010] Step S2: Collecting road and work site data, vector road network information, traffic light status and vehicle flow information;

[0011] Step S3: Establishing a road network digital model based on the collected data;

[0012] Step S4: Based on the digital model of the road network, several cleaning operation templates suitable for different scenarios are established, and each cleaning operation template binds the vehicle type, the garbage bin type and the cleaning level accordingly;

[0013] Step S5: combining the operation standards and removal operation templates of different types of garbage bins, forming a sanitation vehicle road transfer operation template library with several transfer operation templates, and performing visual display;

[0014] Step S6: When the real-time garbage capacity information in any garbage bin exceeds the preset value, the optimal sanitation vehicle is found based on the sanitation vehicle road transfer operation template library, and the task is issued to it;

[0015] Step S7: After the corresponding sanitation vehicle receives the task, it transfers the garbage.

[0016] Based on the above technical solution, the following improvements can be made:

[0017] As a preferred solution, step S3 specifically includes:

[0018] Step S3.1: Clean, classify and store the collected data;

[0019] Step S3.2: Using the road and work site data, vector road network information, traffic light status, and vehicle flow information, real-time dynamic weighting is performed to form a weighted road information database;

[0020] Step S3.3: Building a road network digital model based on the weighted road information database.

[0021] As a preferred solution, in step S5, different types of garbage disposal are visualized in different colors.

[0022] As a preferred solution, step S6 specifically includes:

[0023] Step S6.1: When the real-time capacity information of garbage in any garbage bin exceeds the preset value, the task weight W is dynamically generated based on the sanitation vehicle road transfer operation template library;

[0024]

[0025] Where: k1 is the mileage weight coefficient;

[0026] k2 is the weight coefficient of the garbage bin waiting time;

[0027] k3 is the coefficient of the number of surrounding trash cans;

[0028] S is the planned mileage distance target;

[0029] T is the target amount of time for garbage bins to wait for processing;

[0030] N is the target number of trash bins;

[0031] Step S6.2: Sort the task weights, find the optimal sanitation vehicle based on the highest weight, and assign the task to it.

[0032] As a preferred solution, step S7 specifically includes:

[0033] Step S7.1: After the corresponding sanitation vehicle receives the task, it automatically plans the transfer route;

[0034] Step S7.2: The sanitation vehicle drives to the target site according to the planned route, identifies the type of garbage bin, and automatically collects the corresponding classified garbage;

[0035] Step S7.3: The sanitation vehicle performs a self-check to check whether its garbage storage capacity exceeds a preset safety threshold;

[0036] If it exceeds, the service status of the sanitation vehicle will be changed and the transfer task will be reported. According to the transfer task, the nearest garbage treatment station that is suitable for handling this type of garbage will be found. The garbage treatment station will plan the transfer route and issue the transfer task to the corresponding sanitation vehicle;

[0037] If it does not exceed the limit, the sanitation truck will start transporting the garbage.

[0038] In addition, on the other hand, the present invention also discloses a garbage intelligent transfer device based on the linkage between a sanitation vehicle and a garbage bin, comprising:

[0039] The first collection module is used to collect information about the type of each garbage bin, the location of the garbage bin, and the real-time capacity of garbage in the garbage bin;

[0040] Collect the vehicle type, vehicle location, vehicle capacity and transportation data of each sanitation vehicle;

[0041] Collect the location of each garbage disposal station;

[0042] The second acquisition module is used to collect road and work site data, vector road network information, traffic light status and vehicle flow information;

[0043] A model building module is used to build a digital model of the road network based on the collected data;

[0044] The template establishment module is used to establish several cleaning operation templates suitable for different scenarios based on the road network digital model. Each cleaning operation template binds the vehicle type, garbage bin type and cleaning level accordingly.

[0045] The operation template library forming module is used to combine the operation standards and removal operation templates of different types of garbage bins to form a sanitation vehicle road transfer operation template library with several transfer operation templates, and perform visual display;

[0046] Task dispatching module: when the real-time capacity of garbage in any garbage bin exceeds the preset value, the optimal sanitation vehicle is found based on the sanitation vehicle road transfer operation template library and tasks are dispatched to it;

[0047] The transfer module is used to transfer garbage after the sanitation vehicle receives the task.

[0048] As a preferred solution, the step model building module specifically includes:

[0049] A data processing unit, used to clean, classify and store the collected data;

[0050] A weighted processing unit is used to dynamically weight the road and work site data, the vector road network information, the traffic light status and the vehicle flow information in real time to form a weighted road information database;

[0051] The model building unit is used to build a road network digital model based on the weighted road information database.

[0052] As a preferred solution, in the job template library forming module, different types of garbage disposal are visualized in different colors.

[0053] As a preferred solution, the task delivery module specifically includes:

[0054] A task weight generating unit is used to dynamically generate a task weight W based on a sanitation vehicle road transfer operation template library when the real-time capacity information of garbage in any garbage bin exceeds a preset value;

[0055]

[0056] Where: k1 is the mileage weight coefficient;

[0057] k2 is the weight coefficient of the garbage bin waiting time;

[0058] k3 is the coefficient of the number of surrounding trash cans;

[0059] S is the planned mileage distance target;

[0060] T is the target amount of time for garbage bins to wait for processing;

[0061] N is the target number of trash bins;

[0062] The task issuing unit is used to sort the task weights, find the best sanitation vehicle according to the highest weight, and issue the task to it.

[0063] As a preferred solution, the transport module specifically includes:

[0064] The route planning unit is used to automatically plan the transfer route after the sanitation vehicle receives the task;

[0065] The garbage collection unit is used for the sanitation vehicle to drive to the target site according to the planned route, identify the type of garbage bin, and automatically collect the corresponding classified garbage;

[0066] A self-checking unit is used for the sanitation vehicle to perform self-checks to check whether its garbage storage capacity exceeds a preset safety threshold;

[0067] If it exceeds, the service status of the sanitation vehicle will be changed and the transfer task will be reported. According to the transfer task, the nearest garbage treatment station that is suitable for handling this type of garbage will be found. The garbage treatment station will plan the transfer route and issue the transfer task to the corresponding sanitation vehicle;

[0068] If it does not exceed the limit, the sanitation truck will start transporting the garbage.

[0069] The present invention discloses an intelligent garbage transfer method and equipment based on the linkage between a sanitation vehicle and a garbage bin. All garbage bins and sanitation vehicles in a region are monitored through an Internet of Things data platform. Based on the operation roads, cleaning and transportation operation templates suitable for different scenarios are established. A sanitation vehicle road transfer operation template library is formed by combining the operation standards and cleaning and transportation operation templates of different types of garbage bins. The optimal operation sanitation vehicle is found according to the real-time garbage bin transfer task.

[0070] The present invention can issue accurate and standard operating tasks to sanitation vehicles, improve operating efficiency, and meet the requirements of dynamic and efficient treatment of garbage bins. BRIEF DESCRIPTION OF THE DRAWINGS

[0071] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for use in the embodiments are briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present invention and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without creative work.

[0072] Figure 1 A flowchart of the intelligent garbage transfer method provided in an embodiment of the present invention.

[0073] Figure 2 A visual simulation diagram of a sanitation vehicle road transfer operation template provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0074] The preferred embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0075] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0076] Using ordinal numbers “first,” “second,” “third,” etc. to describe common objects merely indicates that different instances of similar objects are involved and is not intended to imply that the objects so described must have a given order in time, space, order, or in any other manner.

[0077] In addition, the expression of “comprising” an element is an “open” expression, which merely means that corresponding components or steps exist, and should not be interpreted as excluding additional components or steps.

[0078] In order to achieve the purpose of the present invention, a method and device for intelligent garbage transfer based on the linkage between a sanitation vehicle and a garbage bin are provided in some embodiments, such as Figure 1 As shown, the intelligent garbage transfer method includes:

[0079] Step S1: Collect information about the type of each garbage bin, the location of the garbage bin, and the real-time capacity of garbage in the garbage bin;

[0080] Collect the vehicle type, vehicle location, vehicle capacity and transportation data of each sanitation vehicle;

[0081] Collect the location of each garbage disposal station;

[0082] Step S2: Collecting road and work site data, vector road network information, traffic light status and vehicle flow information;

[0083] Step S3: Establishing a road network digital model based on the collected data;

[0084] Step S4: Based on the digital model of the road network, several cleaning operation templates suitable for different scenarios are established, and each cleaning operation template binds the vehicle type, the garbage bin type and the cleaning level accordingly;

[0085] Step S5: combining the operation standards and removal operation templates of different types of garbage bins, forming a sanitation vehicle road transfer operation template library with several transfer operation templates, and performing visual display;

[0086] Step S6: When the real-time garbage capacity information in any garbage bin exceeds the preset value, the optimal sanitation vehicle is found based on the sanitation vehicle road transfer operation template library, and the task is issued to it;

[0087] Step S7: After the corresponding sanitation vehicle receives the task, it transfers the garbage.

[0088] Each step is described in further detail below.

[0089] Step S1, collecting information on the type of each garbage bin, the location of the garbage bin, and the real-time capacity of garbage in the garbage bin;

[0090] Collect the vehicle type, vehicle location, vehicle capacity and transportation data of each sanitation vehicle;

[0091] Collect the location of each garbage disposal station.

[0092] Specifically, the garbage bin collects GPS coordinates through the built-in GPS positioning device and collects capacity information through the capacity monitoring device. The sanitation vehicle collects GPS coordinates through the built-in GPS positioning device and collects vehicle capacity information through the capacity monitoring device, and reports data to the network platform through the network module.

[0093] Step S2, collecting road and work site data, vector road network information, traffic light status and vehicle flow information.

[0094] Specifically, step S2 can collect road and work site data through high-precision maps and vehicles equipped with sensors such as cameras or lidar, and collect vector road network information, traffic light status and vehicle flow information through collection equipment or third-party map interfaces.

[0095] Step S3, establishing a road network digital model based on the collected data;

[0096] Specifically include:

[0097] Step S3.1: Clean, classify and store the collected data;

[0098] Step S3.2: Using the road and work site data, vector road network information, traffic light status, and vehicle flow information, real-time dynamic weighting is performed to form a weighted road information database;

[0099] Step S3.3: Building a road network digital model based on the weighted road information database.

[0100] The weighted road information database includes garbage bin type, garbage bin location, real-time garbage bin capacity information, vehicle type, real-time vehicle location, cleaning driving data, real-time traffic light status at intersections and vehicle flow information, etc. The real-time traffic light status and vehicle flow information can estimate the travel time. Based on the weighted road information database, a road network digital model is established, which can provide a basis for intelligent vehicle matching and scheduling tasks.

[0101] Step S4, based on the road network digital model, establish several cleaning operation templates suitable for different scenarios, each cleaning operation template binds the vehicle type, garbage bin type and cleaning level accordingly.

[0102] The cleaning operation template binds the vehicle type, garbage bin type and cleaning level to each other, vehicle type-garbage bin type-cleaning level, to form a model code, such as C1-T1-L1.

[0103] Specifically,

[0104] Vehicle type: C1 represents a multi-functional intelligent multi-functional garbage transfer vehicle; C2 represents a recyclable intelligent garbage transfer vehicle; C3 represents a dry garbage intelligent transfer vehicle; C4 represents a wet garbage intelligent transfer vehicle; C5 represents a hazardous garbage intelligent transfer vehicle, etc.

[0105] Trash bin type: T1 represents a multifunctional smart trash bin; T2 represents a recyclable smart trash bin; T3 represents a dry garbage smart trash bin; T4 represents a wet garbage smart trash bin; C5 represents a hazardous garbage smart trash bin, etc.

[0106] Collection level: L1 represents the intelligent multi-functional collection scenario; L2 represents the recyclable intelligent garbage collection scenario; L3 represents the dry garbage intelligent collection scenario; L4 represents the wet garbage intelligent collection scenario; L5 represents the hazardous garbage intelligent collection scenario, etc.

[0107] Step S5, combining the operation standards and removal operation templates of different types of garbage bins, forming a sanitation vehicle road transfer operation template library with several transfer operation templates, and performing visual display, and different types of garbage disposal are visualized in different colors.

[0108] The transfer operation template is rendered using the electronic map layer style to form a visual simulation diagram as a comprehensive form of template expression, which is convenient for actual operators to refer to for practical operations, such as Figure 2 shown.

[0109] Step S6: When the real-time capacity information of garbage in any garbage bin exceeds the preset value, the optimal sanitation vehicle is found based on the sanitation vehicle road transfer operation template library, and the task is issued to it.

[0110] Specifically include:

[0111] Step S6.1: When the real-time capacity information of garbage in any garbage bin exceeds the preset value, the task weight W is dynamically generated based on the sanitation vehicle road transfer operation template library;

[0112]

[0113] Where: k1 is the mileage weight coefficient;

[0114] k2 is the weight coefficient of the garbage bin waiting time;

[0115] k3 is the coefficient of the number of surrounding trash cans;

[0116] S is the planned mileage distance target, unit: meter (m);

[0117] T is the target amount of time for garbage bin waiting for processing, unit: second (s);

[0118] N is the target number of trash bins;

[0119] Step S6.2: Sort the task weights, find the optimal sanitation vehicle based on the highest weight, and assign the task to it.

[0120] Based on the relevant models, training and learning are carried out for the operating standards and cleaning operation templates of different types of garbage bins in different scenarios, thereby improving the accuracy and efficiency of the intelligent matching results. After the garbage bins in the area have the operating standards, operating vehicles or personnel can be dispatched to carry out practical operations, which greatly improves the actual operating efficiency and the rationality of the operation plan.

[0121] Step S7, after the corresponding sanitation vehicle receives the task, it carries out garbage transfer.

[0122] Specifically include:

[0123] Step S7.1: After the corresponding sanitation vehicle (e.g., C1 intelligent multifunctional garbage transfer vehicle) receives the task, it automatically plans the transfer route through the AI ​​trainer;

[0124] Step S7.2: The sanitation vehicle drives to the target site according to the planned route, identifies the type of garbage bin through the built-in signal identifier, and automatically collects the corresponding classified garbage;

[0125] Step S7.3: The sanitation vehicle performs a self-check to check whether its garbage storage capacity exceeds a preset safety threshold;

[0126] If it exceeds, the service status of the sanitation vehicle will be changed and the transfer task will be reported. According to the transfer task, the nearest garbage treatment station that is suitable for handling this type of garbage will be found. The garbage treatment station will plan the transfer route and issue the transfer task to the corresponding sanitation vehicle;

[0127] If it does not exceed the limit, the sanitation truck will start transporting the garbage.

[0128] The embodiment of the present invention also discloses a garbage intelligent transfer device based on the linkage between a sanitation vehicle and a garbage bin, comprising:

[0129] The first collection module is used to collect information about the type of each garbage bin, the location of the garbage bin, and the real-time capacity of garbage in the garbage bin;

[0130] Collect the vehicle type, vehicle location, vehicle capacity and transportation data of each sanitation vehicle;

[0131] Collect the location of each garbage disposal station;

[0132] The second acquisition module is used to collect road and work site data, vector road network information, traffic light status and vehicle flow information;

[0133] A model building module is used to build a digital model of the road network based on the collected data;

[0134] The template establishment module is used to establish several cleaning operation templates suitable for different scenarios based on the road network digital model. Each cleaning operation template binds the vehicle type, garbage bin type and cleaning level accordingly.

[0135] The operation template library forming module is used to combine the operation standards and removal operation templates of different types of garbage bins to form a sanitation vehicle road transfer operation template library with several transfer operation templates, and perform visual display;

[0136] Task dispatching module: when the real-time capacity of garbage in any garbage bin exceeds the preset value, the optimal sanitation vehicle is found based on the sanitation vehicle road transfer operation template library and tasks are dispatched to it;

[0137] The transfer module is used to transfer garbage after the sanitation vehicle receives the task.

[0138] As a preferred solution, the step model building module specifically includes:

[0139] A data processing unit, used to clean, classify and store the collected data;

[0140] A weighted processing unit is used to dynamically weight the road and work site data, the vector road network information, the traffic light status and the vehicle flow information in real time to form a weighted road information database;

[0141] The model building unit is used to build a road network digital model based on the weighted road information database.

[0142] As a preferred solution, in the job template library forming module, different types of garbage disposal are visualized in different colors.

[0143] As a preferred solution, the task delivery module specifically includes:

[0144] A task weight generating unit is used to dynamically generate a task weight W based on a sanitation vehicle road transfer operation template library when the real-time capacity information of garbage in any garbage bin exceeds a preset value;

[0145]

[0146] Where: k1 is the mileage weight coefficient;

[0147] k2 is the weight coefficient of the garbage bin waiting time;

[0148] k3 is the coefficient of the number of surrounding trash cans;

[0149] S is the planned mileage distance target;

[0150] T is the target amount of time for garbage bins to wait for processing;

[0151] N is the target number of trash bins;

[0152] The task issuing unit is used to sort the task weights, find the best sanitation vehicle according to the highest weight, and issue the task to it.

[0153] As a preferred solution, the transport module specifically includes:

[0154] The route planning unit is used to automatically plan the transfer route after the sanitation vehicle receives the task;

[0155] The garbage collection unit is used for the sanitation vehicle to drive to the target site according to the planned route, identify the type of garbage bin, and automatically collect the corresponding classified garbage;

[0156] A self-checking unit is used for the sanitation vehicle to perform self-checks to check whether its garbage storage capacity exceeds a preset safety threshold;

[0157] If it exceeds, the service status of the sanitation vehicle will be changed and the transfer task will be reported. According to the transfer task, the nearest garbage treatment station that is suitable for handling this type of garbage will be found. The garbage treatment station will plan the transfer route and issue the transfer task to the corresponding sanitation vehicle;

[0158] If it does not exceed the limit, the sanitation truck will start transporting the garbage.

[0159] The technical contents of the above-mentioned intelligent garbage transfer equipment and the intelligent garbage transfer method are similar and will not be repeated here.

[0160] The present invention discloses an intelligent garbage transfer method and equipment based on the linkage between a sanitation vehicle and a garbage bin. All garbage bins and sanitation vehicles in a region are monitored through an Internet of Things data platform. Based on the operation roads, cleaning and transportation operation templates suitable for different scenarios are established. A sanitation vehicle road transfer operation template library is formed by combining the operation standards and cleaning and transportation operation templates of different types of garbage bins. The optimal operation sanitation vehicle is found according to the real-time garbage bin transfer task.

[0161] The present invention can issue accurate and standard operating tasks to sanitation vehicles, improve operating efficiency, and meet the requirements of dynamic and efficient treatment of garbage bins.

[0162] It should be understood that the various techniques described herein can be implemented in combination with hardware or software, or a combination thereof. Thus, the method and apparatus of the present invention, or some aspects or portions of the method and apparatus of the present invention, can take the form of program codes (i.e., instructions) embedded in a tangible medium, such as a floppy disk, a CD-ROM, a hard disk drive, or any other machine-readable storage medium, wherein when the program is loaded into a machine such as a computer and executed by the machine, the machine becomes a device for practicing the present invention.

[0163] The above shows and describes the basic principles and main features of the present invention and the advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The above embodiments and descriptions are only for illustrating the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which shall fall within the scope of the present invention to be protected. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. An intelligent garbage transfer method based on the linkage between a sanitation vehicle and a garbage bin, characterized in that: include: Step S1: Collect information about the type of each garbage bin, the location of the garbage bin, and the real-time capacity of garbage in the garbage bin; Collect the vehicle type, vehicle location, vehicle capacity and transportation data of each sanitation vehicle; Collect the location of each garbage disposal station; Step S2: Collecting road and work site data, vector road network information, traffic light status and vehicle flow information; Step S3: Establishing a road network digital model based on the collected data; Step S4: Based on the digital model of the road network, several cleaning operation templates suitable for different scenarios are established, and each cleaning operation template binds the vehicle type, the garbage bin type and the cleaning level accordingly; Step S5: combining the operation standards and removal operation templates of different types of garbage bins, forming a sanitation vehicle road transfer operation template library with several transfer operation templates, and performing visual display; Step S6: When the real-time garbage capacity information in any garbage bin exceeds the preset value, the optimal sanitation vehicle is found based on the sanitation vehicle road transfer operation template library, and the task is issued to it; Step S7: After the corresponding sanitation vehicle receives the task, it transfers the garbage.

2. The intelligent garbage transfer method according to claim 1, characterized in that: Step S3 specifically includes: Step S3.1: Clean, classify and store the collected data; Step S3.2: Using the road and work site data, vector road network information, traffic light status, and vehicle flow information, real-time dynamic weighting is performed to form a weighted road information database; Step S3.3: Building a road network digital model based on the weighted road information database.

3. The intelligent garbage transfer method according to claim 1, characterized in that: In step S5, different types of garbage disposal are visualized in different colors.

4. The intelligent garbage transfer method according to claim 1, characterized in that: Step S6 specifically includes: Step S6.1: When the real-time capacity information of garbage in any garbage bin exceeds the preset value, the task weight W is dynamically generated based on the sanitation vehicle road transfer operation template library; Where: k1 is the mileage weight coefficient; k2 is the weight coefficient of the garbage bin waiting time; k3 is the coefficient of the number of surrounding trash cans; S is the planned mileage distance target; T is the target amount of time for garbage bins to wait for processing; N is the target number of trash bins; Step S6.2: Sort the task weights, find the optimal sanitation vehicle based on the highest weight, and assign the task to it.

5. The intelligent garbage transfer method according to claim 1, characterized in that: Step S7 specifically includes: Step S7.1: After the corresponding sanitation vehicle receives the task, it automatically plans the transfer route; Step S7.2: The sanitation vehicle drives to the target site according to the planned route, identifies the type of garbage bin, and automatically collects the corresponding classified garbage; Step S7.3: The sanitation vehicle performs a self-check to check whether its garbage storage capacity exceeds a preset safety threshold; If it exceeds, the service status of the sanitation vehicle will be changed and the transfer task will be reported. According to the transfer task, the nearest garbage treatment station that is suitable for handling this type of garbage will be found. The garbage treatment station will plan the transfer route and issue the transfer task to the corresponding sanitation vehicle; If it does not exceed the limit, the sanitation truck will start transporting the garbage.

6. Intelligent garbage transfer equipment based on the linkage between sanitation vehicles and garbage bins, characterized in that: include: The first collection module is used to collect information about the type of each garbage bin, the location of the garbage bin, and the real-time capacity of garbage in the garbage bin; Collect the vehicle type, vehicle location, vehicle capacity and transportation data of each sanitation vehicle; Collect the location of each garbage disposal station; The second acquisition module is used to collect road and work site data, vector road network information, traffic light status and vehicle flow information; A model building module is used to build a digital model of the road network based on the collected data; The template establishment module is used to establish several cleaning operation templates suitable for different scenarios based on the road network digital model. Each cleaning operation template binds the vehicle type, garbage bin type and cleaning level accordingly. The operation template library forming module is used to combine the operation standards and removal operation templates of different types of garbage bins to form a sanitation vehicle road transfer operation template library with several transfer operation templates, and perform visual display; Task dispatching module: when the real-time capacity of garbage in any garbage bin exceeds the preset value, the optimal sanitation vehicle is found based on the sanitation vehicle road transfer operation template library and tasks are dispatched to it; The transfer module is used to transfer garbage after the sanitation vehicle receives the task.

7. The intelligent garbage transfer equipment according to claim 6, characterized in that: The step model building module specifically includes: A data processing unit, used to clean, classify and store the collected data; A weighted processing unit is used to dynamically weight the road and work site data, the vector road network information, the traffic light status and the vehicle flow information in real time to form a weighted road information database; The model building unit is used to build a road network digital model based on the weighted road information database.

8. The intelligent garbage transfer equipment according to claim 6, characterized in that: In the job template library formation module, different types of garbage disposal are visualized in different colors.

9. The intelligent garbage transfer equipment according to claim 6, characterized in that: The task delivery module specifically includes: A task weight generating unit is used to dynamically generate a task weight W based on a sanitation vehicle road transfer operation template library when the real-time capacity information of garbage in any garbage bin exceeds a preset value; Where: k1 is the mileage weight coefficient; k2 is the weight coefficient of the garbage bin waiting time; k3 is the coefficient of the number of surrounding trash cans; S is the planned mileage distance target; T is the target amount of time for garbage bins to wait for processing; N is the target number of trash bins; The task issuing unit is used to sort the task weights, find the best sanitation vehicle according to the highest weight, and issue the task to it.

10. The intelligent garbage transfer equipment according to claim 6, characterized in that: The transfer module specifically includes: The route planning unit is used to automatically plan the transfer route after the sanitation vehicle receives the task; The garbage collection unit is used for the sanitation vehicle to drive to the target site according to the planned route, identify the type of garbage bin, and automatically collect the corresponding classified garbage; A self-checking unit is used for the sanitation vehicle to perform self-checks to check whether its garbage storage capacity exceeds a preset safety threshold; If it exceeds, the service status of the sanitation vehicle will be changed and the transfer task will be reported. According to the transfer task, the nearest garbage treatment station that is suitable for handling this type of garbage will be found. The garbage treatment station will plan the transfer route and issue the transfer task to the corresponding sanitation vehicle; If it does not exceed the limit, the sanitation truck will start transporting the garbage.

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