Dynamic calibration method, system and equipment for garbage truck weighing system

Abstract

The invention discloses a dynamic calibration method, system and equipment for a garbage truck weighing system, and belongs to the technical field of garbage truck weighing. The calibration method comprises the following steps that n times of garbage weighing operation is executed on a garbage truck in a first state, and n pieces of first weight data are obtained; the first state is the state of the garbage truck before garbage weighing; performing comprehensive calculation on the n pieces of first weight data to obtain calibration weight data; garbage weighing operation is carried out on the garbage truck in the second state, and second weight data are obtained; the second state is the state of the garbage truck during weighing, and at least one to-be-weighed garbage can is carried; and calibrating the second weight data according to the calibration weight data to obtain calibrated weight data. According to the invention, through multiple garbage weighing operations of the garbage truck in the same state or different states, the obtained multiple groups of data are comprehensively calculated and then dynamically calibrated, so that the accuracy of the weight data obtained by the garbage truck weighing system is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of garbage truck weighing, and particularly to a dynamic calibration method, system and device for a garbage truck weighing system. Background Art

[0002] The research and development background of this method is mainly aimed at the accuracy and reliability of garbage truck weighing data. In the daily operation of garbage trucks, the accuracy and reliability of weighing data are crucial for garbage classification, recycling and treatment. However, due to the influence of various factors, such as sensor errors, environmental factors, etc., the weighing data of garbage trucks often have certain deviations and inaccuracies, which will have an adverse impact on garbage treatment and recycling. Summary of the Invention

[0003] The purpose of the present invention is to provide a dynamic calibration method, system and device for a garbage truck weighing system, so as to improve the accuracy of weight data obtained by the garbage truck weighing system.

[0004] To achieve the above purpose, the present invention provides the following solutions:

[0005] The present invention provides a dynamic calibration method for a garbage truck weighing system, and the calibration method includes the following steps:

[0006] Perform n garbage weighing operations on the garbage truck in the first state to obtain n first weight data; the first state is the state of the garbage truck before garbage weighing.

[0007] Perform comprehensive calculation on the n first weight data to obtain calibration weight data.

[0008] Perform a garbage weighing operation on the garbage truck in the second state to obtain second weight data; the second state is the state of the garbage truck during weighing, carrying at least one garbage bin to be weighed.

[0009] Calibrate the second weight data according to the calibration weight data to obtain calibrated weight data.

[0010] Optionally, performing comprehensive calculation on the n first weight data to obtain calibration weight data specifically includes:

[0011] Calculate the average value of the n first weight data as the calibration weight data.

[0012] Optionally, performing comprehensive calculation on the n first weight data to obtain calibration weight data specifically includes:

[0013] Perform weighted summation on the n first weight data to obtain the calibration weight data.

[0014] Optionally, the weights of the respective first weight data are obtained in the following manner:

[0015] Calculate the average value of the n first weight data;

[0016] Calculate the difference between each of the first weight data and the average value;

[0017] Determine the weight of each of the first weight data according to the magnitude of the absolute value of the difference and the order of measurement of the first weight data before and after.

[0018] Optionally, determining the weight of each of the first weight data according to the magnitude of the absolute value of the difference and the order of measurement of the first weight data before and after specifically includes:

[0019] First, sort the first weight data in ascending order of the absolute value of the difference, and then perform a secondary sorting on the first weight data with the same absolute value of the difference in the order from the latest to the earliest measurement time to obtain a weight data sequence;

[0020] According to the weight data sequence, use the following formula to determine the weight of each of the first weight data;

[0021] a1 + a2 + … + a n = 1;

[0022] a1 > a2 > … > a n ;

[0023] wherein, a1, a2, a n are respectively the weights of the 1st, 2nd, and nth first weight data in the weight data sequence.

[0024] Optionally, the n first weight data are obtained within a preset time.

[0025] Optionally, the preset time is 40s.

[0026] Optionally, the above steps "perform n garbage weighing operations on the garbage truck in the first state to obtain n first weight data; the first state is the state of the garbage truck before garbage weighing" and "perform a comprehensive calculation on the n first weight data to obtain a calibrated weight data" are controlled and executed by a one-key calibration button on the garbage truck control panel.

[0027] A dynamic calibration system for a garbage truck weighing system, the calibration system is applied to the above calibration method, and the calibration system includes:

[0028] A first weight data acquisition module, configured to perform n garbage weighing operations on a garbage truck in the first state to obtain n first weight data; the first state is the state of the garbage truck before garbage weighing;

[0029] A comprehensive calculation module for comprehensively calculating n first weight data to obtain calibrated weight data;

[0030] A second weight data acquisition module for performing a garbage weighing operation on a garbage truck in a second state to obtain second weight data; the second state is the state of the garbage truck during weighing, carrying at least one garbage bin to be weighed;

[0031] A calibration module for calibrating the second weight data according to the calibrated weight data to obtain calibrated weight data.

[0032] An electronic device includes a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the computer program, the above calibration method is implemented.

[0033] According to the specific embodiments provided by the present invention, the following technical effects are disclosed:

[0034] The embodiments of the present invention provide a dynamic calibration method, system and device for a garbage truck weighing system. The calibration method includes the following steps: performing n garbage weighing operations on a garbage truck in a first state to obtain n first weight data; the first state is the state of the garbage truck before garbage weighing; comprehensively calculating the n first weight data to obtain calibrated weight data; performing a garbage weighing operation on a garbage truck in a second state to obtain second weight data; the second state is the state of the garbage truck during weighing, carrying at least one garbage bin to be weighed; calibrating the second weight data according to the calibrated weight data to obtain calibrated weight data. By performing multiple garbage weighing operations on the garbage truck in the same state or different states, comprehensively calculating the obtained multiple sets of data and then performing dynamic calibration, the accuracy of the weight data obtained by the garbage truck weighing system is improved. Description of the Drawings

[0035] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for use in the embodiments. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0036] Figure 1 It is a flowchart of a dynamic calibration method for a garbage truck weighing system provided by an embodiment of the present invention;

[0037] Figure 2 It is a structural schematic diagram of the garbage dumping and weighing parts of a garbage truck provided by an embodiment of the present invention. Detailed Embodiments

[0038] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0039] The purpose of the present invention is to provide a dynamic calibration method, system and device for a garbage truck weighing system to improve the accuracy of the weight data obtained by the garbage truck weighing system.

[0040] To make the above objects, features and advantages of the present invention more obvious and understandable, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0041] Embodiment 1

[0042] The calibration method provided in Embodiment 1 of the present invention is applied to a garbage truck weighing system. First of all, it should be noted that the garbage truck weighing system in the embodiments of the present invention includes: a weighing device control panel, a vehicle-mounted computer, a wireless communication module, Figure 2 the lifting controller of the trash can tipping and lifting device 1 in it, a weighing sensor and a cloud server.

[0043] Weighing device control panel: (Add a one-key operation button) electrically connected to the vehicle-mounted computer, installed at the rear side of the garbage truck, next to the lifting controller, and personnel can operate the buttons on the lifting controller and the weighing device control panel at the same time. The trash can tipping and lifting device 1 of the garbage truck is electrically connected to the lifting controller.

[0044] Wireless communication module: Installed in a controller box with the vehicle-mounted computer, installed inside the cab of the garbage truck.

[0045] Vehicle-mounted computer: Installed in a controller box with the wireless communication module, installed inside the cab of the garbage truck. Electrically connected to the weighing device control panel, the weighing sensor, the wireless communication module, and the vehicle-mounted display terminal.

[0046] Lifting controller: Electrically connected to the trash can tipping and lifting device 1, used to control the lifting of the trash can tipping and lifting device 1.

[0047] Weighing sensor: Installed on the trash can tipping and lifting device 1, which is a pin shaft weighing sensor or a strain gauge weighing sensor, and is electrically connected to the vehicle-mounted computer.

[0048] Cloud server: Alibaba Cloud server, wirelessly connected to the vehicle-mounted computer.

[0049] On-vehicle display terminal, website platform and mobile terminal: The on-vehicle display terminal is installed in the cab of the garbage truck and electrically connected to the on-vehicle computer for the driver to observe; the website platform and the mobile terminal are connected through the network.

[0050] Embodiment 1 of the present invention provides a dynamic calibration method for a garbage truck weighing system, as Figure 1 shown, the calibration method includes the following steps:

[0051] Step 101, perform n garbage weighing operations on the garbage truck in the first state to obtain n first weight data; the first state is the state of the garbage truck before garbage weighing. In the embodiments of the present invention, the first state can be that there is no trash can (i.e., an empty rack) on the bucket hanging rack of the garbage truck, or a state with some trash cans, that is, there are m trash cans on the bucket hanging rack of the garbage truck, where m is an integer greater than or equal to 0 and less than M, and M is the total number of trash cans that the garbage truck can carry. When m is 0, it is the empty rack state. As Figure 2 shown, in the embodiments of the present invention, the weighing sensor of the weighing system is arranged on the trash can tipping and lifting device 1 of the garbage truck, and the bucket hanging rack is also arranged on the trash can tipping and lifting device 1. In the embodiments of the present invention, a first position sensor 2 and a second position sensor 3 are also arranged. The first position sensor 2 is used to detect whether the trash can tipping and lifting device 1 reaches the highest position, and the second position sensor 3 is used to detect whether the trash can tipping and lifting device 1 reaches the lowest position. The trash can tipping and lifting device 1 is used to carry the trash can 4 through the bucket hanging rack for garbage dumping. A strain gauge sensor is also arranged on the trash can tipping and lifting device 1 to obtain weighing parameters.

[0052] Step 102, perform comprehensive calculation on the n first weight data to obtain calibrated weight data.

[0053] Steps 101 and 102 can be controlled and executed by a one-key calibration button on the garbage truck control panel. Step 103, perform a garbage weighing operation on the garbage truck in the second state to obtain second weight data; the second state is the state of the garbage truck during weighing, carrying at least one trash can to be weighed.

[0054] Step 104, calibrate the second weight data according to the calibrated weight data to obtain calibrated weight data.

[0055] To solve the above problems, in Embodiment 1 of the present invention, the data measured by the weighing sensors installed on the garbage truck is calibrated, and the weight data of the empty garbage bins measured in the previous several times is processed to calculate the average value as the new initial parameter (i.e., the calibrated weight data). Then, normal weighing operations are carried out, and the measured weight (the second weight data) and the average value are calculated and then uploaded to the cloud server as the actual data (the calibrated weight data), and finally displayed through the website platform. This method can improve the accuracy and reliability of the weighing data, thereby providing more accurate data support for the operation of the garbage truck.

[0056] The research and development concept of this method is proposed based on in-depth research and analysis of the accuracy and reliability problems of the weighing data of garbage trucks. By calibrating the data measured by the weighing sensors and processing the weight data of the empty garbage bins measured in the previous several times, the influence of sensor errors and environmental factors on the weighing data can be eliminated, thereby improving the accuracy and reliability of the weighing data. At the same time, calculating the measured weight and the average value and then uploading them to the cloud server as the actual data can further reduce the deviation and inaccuracy of the data. Finally, through the website platform for display, relevant personnel can understand the weighing data of the garbage truck at any time, which is convenient for classifying, recycling, and processing garbage.

[0057] Therefore, the research and development background of this method is mainly aimed at the accuracy and reliability problems of the weighing data of garbage trucks. By calibrating the data measured by the weighing sensors and processing the weight data of the empty garbage bins measured in the previous several times, the accuracy and reliability of the weighing data are improved, thereby providing more accurate data support for the operation of the garbage truck. The research and development concept of this method is proposed based on in-depth research and analysis of the accuracy and reliability problems of the weighing data of garbage trucks, and it can solve the deviation and inaccuracy problems existing in the weighing data of garbage trucks.

[0058] Based on the above calibration method, Embodiment 1 of the present invention also provides the following specific implementation manners:

[0059] Step 1: Before the garbage truck resumes operation and weighs again after a long period of inactivity or the next day, the on-vehicle computer automatically obtains the weighing data measured when the vehicle was empty or with some garbage bins (i.e., in the first state) the previous time or the previous day.

[0060] Step 2: The staff presses the recalibration button, and the garbage truck enters the recalibration program.

[0061] Step 3: The staff conducts the first weighing operation on the garbage truck in the first state, enabling the on-vehicle computer to re-obtain the real-time weighing data measured in the first state on the same day. The staff performs n lifting operations within 40 seconds in the first state, allowing the on-vehicle computer to obtain another real-time weighing data in the first state on the same day, namely the first weight data. Generally, the data measured in these two times will deviate, forming a dynamic data range. These two operation actions can be programmed using software, and the entire process can be integrated into a single key through an execution program for one-key automatic execution. This repeated process can be 2 times or 3 times. The more times, the more accurate the calibration. In practical applications, considering time constraints, 2 - 3 times has the highest cost performance. That is, in the embodiments of the present invention, after verification, when the value of n is 2 or 3, the cost performance is the highest. However, this value cannot be used as a limitation on the number of measurements. If those skilled in the art set n to other values according to needs, it is also within the protection scope of the present invention.

[0062] Step 4: The on-vehicle computer processes the previously measured first weight data and calculates its average value as the new initial parameter P (i.e., the calibrated weight data). The formula for calculating the average value can be expressed as: Initial parameter P = (C1 + C2 +... + C n ) / n, where C1, C2,..., C n respectively represent the first weight data obtained from the 1st, 2nd,..., nth measurements, and n represents the number of measurements.

[0063] Step 5: The on-vehicle computer determines the processed calibrated weight data as the actual initial parameter for this operation. This initial parameter can be the weight of an empty bucket rack without garbage bins or the weight of a bucket rack with some garbage bins.

[0064] Step 6: The garbage truck conducts normal weighing operations, and the on-vehicle computer obtains the actual weight data in the second state, namely the second weight data.

[0065] Step 7: The on-vehicle computer calculates the actual weight data with the newly determined initial parameter P for this operation to obtain the calibrated weight data. The calculation method is to subtract the initial parameter P from the actually measured second weight data to obtain the calibrated weight data.

[0066] Step 8: The on-vehicle computer uploads the calibrated weight data to the cloud server.

[0067] Step 9: The cloud server stores and processes the received calibrated weight data.

[0068] Step 10: The website platform obtains the calibrated weight data from the cloud server and displays it on the web page or other terminals.

[0069] In the embodiments of the present invention, steps 2 - 10 can be automatically completed by the "one - key operation" button provided on the control panel at the rear of the garbage truck.

[0070] When performing the above steps, the in - vehicle computer is the main execution entity, responsible for acquiring and processing the data measured by the weighing sensor, and performing calculations and calibrations. The garbage truck also includes an output display terminal for directly displaying the calculated information, a wireless transmission module on the garbage truck for wireless communication with the cloud server. The cloud server is responsible for storing and processing the calibrated weight data, and the website platform is responsible for displaying this data. In the whole process, the key steps include the execution of calibration processing, the processing of the first weight data measured in the previous several times, and the calibration of the actual weight data. The role of these steps is to improve the accuracy and reliability of the weighing data, thereby providing more accurate data support for the operation of the garbage truck.

[0071] The above - mentioned method can be combined with the garbage truck weighing system, and a zero - clearing operation is performed based on the above - mentioned calibrated weight data. At this time, the operation mode of the garbage truck weighing system specifically includes:

[0072] Lower the bucket - hanging rack of the garbage truck to the lowest position (that is, as shown in Figure 2 , the trash can tipping and lifting device 1 reaches the position of the second position sensor 3). The bucket - hanging rack is arranged on the trash can tipping and lifting device 1 of the garbage truck, and the weighing sensor of the garbage truck weighing system is arranged on the trash can tipping and lifting device 1.

[0073] Press the "community zero - clearing" button on the panel of the garbage truck weighing system. After pressing this button, the panel of the garbage truck weighing system is cleared, and the dynamic calibration program of the garbage truck weighing system starts, and the calibration steps can be executed.

[0074] Raise the bucket - hanging rack to the highest position (that is, as shown in Figure 2 , the trash can tipping and lifting device 1 reaches the position of the first position sensor 2), and then lower it to the lowest position. This action is repeated n times within 40s to obtain n first weight data, and then the n first weight data are comprehensively calculated to obtain the calibrated weight data. Based on this calibrated weight data, dynamic calibration zero - clearing is completed, and the weight data displayed in the weighing system during subsequent weighing is the calibrated one.

[0075] This operation only needs to be performed once a day.

[0076] Embodiment 2

[0077] Based on the comprehensive calculation method of average value calculation in Embodiment 1, Embodiment 2 of the present invention provides the following comprehensive calculation method, that is, the n first weight data are weighted and summed to obtain the calibrated weight data.

[0078] Among them, the weights of the respective first weight data are obtained in the following manner: calculate the average value of n first weight data; calculate the difference between each of the first weight data and the average value; determine the weight of each of the first weight data according to the magnitude of the absolute value of the difference and the front-back order of the measurement of the first weight data.

[0079] Further, determining the weight of each of the first weight data according to the magnitude of the absolute value of the difference and the front-back order of the measurement of the first weight data specifically includes: first, sorting the first weight data in ascending order of the absolute value of the difference, and then performing a secondary sorting on the first weight data with the same absolute value of the difference in the order from the latest to the earliest measurement time to obtain a weight data sequence; according to the weight data sequence, use the following formula to determine the weight of each of the first weight data.

[0080] a1 + a2 + … + a n = 1.

[0081] a1 > a2 > … > a n .

[0082] Among them, a1, a2, a n are respectively the weights of the 1st, 2nd, and nth first weight data in the weight data sequence.

[0083] a1, a2,..., a in Embodiment 2 of the present invention n The specific values of can be obtained through multiple experiments aiming at the highest precision based on the above method, or can be obtained by using other optimization algorithms. The method provided in Embodiment 2 of the present invention has a wider adaptability compared with the average method in Embodiment 1, and can make the calibrated weight data more accurate.

[0084] Embodiment 3

[0085] Embodiment 3 of the present invention provides a dynamic calibration system for a garbage truck weighing system. The calibration system is applied to the above calibration method. The calibration system includes:

[0086] A first weight data acquisition module, configured to perform n garbage weighing operations on a garbage truck in a first state to obtain n first weight data; the first state is the state of the garbage truck before garbage weighing.

[0087] An integrated calculation module, configured to perform an integrated calculation on the n first weight data to obtain calibrated weight data.

[0088] A second weight data acquisition module, configured to perform a garbage weighing operation on a garbage truck in a second state to obtain second weight data; the second state is the state of the garbage truck during weighing, carrying at least one garbage bin to be weighed.

[0089] A calibration module, configured to calibrate the second weight data according to the calibration weight data to obtain calibrated weight data.

[0090] Embodiment 4

[0091] Embodiment 4 of the present invention provides an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the computer program, the above-mentioned calibration method is implemented.

[0092] In addition, when the computer program in the above-mentioned memory is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or a part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of the present invention. The aforementioned storage medium includes: various media such as USB flash drives, mobile hard disks, read-only memories, random access memories, magnetic disks, or optical discs that can store program codes.

[0093] According to the specific embodiments provided by the present invention, the present invention discloses the following technical effects:

[0094] 1. High precision: By calibrating the data measured by the weighing sensors installed on the garbage truck, and processing the weight data of the empty truck or empty bucket (the empty truck or empty bucket here is an exemplary representation of the first state) measured in the previous several times, calculating the average value as a new initial parameter, the influence of sensor errors and environmental factors on the weighing data can be eliminated, thereby improving the accuracy and reliability of the weighing data. This processing method can reduce the deviation and inaccuracy of the data to a certain extent and improve the precision of the data.

[0095] 2. High efficiency: This method can, before the garbage truck resumes operation and weighs again after a long period of inactivity or the next day, process the weight data of the empty truck or empty bucket (the empty truck or empty bucket here is an exemplary representation of the first state) measured in the previous several times, quickly calculate a new initial parameter, and thus quickly perform normal weighing operations. This processing method can be further automated and integrated to reduce the calibration time of the garbage truck and improve the operation efficiency.

[0096] 3. Strong real-time performance: After calculating the average value from the measured dynamic weight, the method uploads the result as the actual data to the cloud server, enabling real-time data updates and facilitating relevant personnel to access the weighing data of the garbage truck at any time. This processing method improves data real-time performance, making it convenient for relevant personnel to classify, recycle, and process garbage.

[0097] 4. Strong scalability: After calculating the measured weight and the average value, the method uploads the result as the actual data to the cloud server. The data can be displayed through a website platform or integrated with other systems to achieve data sharing and exchange. This processing method has good scalability and can adapt to different application scenarios and requirements. This advantage stems from the technical point in steps 9 - 10 of calculating the measured weight and the average value and then uploading the result as the actual data to the cloud server.

[0098] In summary, the above method has the advantages of high accuracy, high efficiency, strong real-time performance, and strong scalability. These advantages stem from technical points such as calibrating the data measured by the weighing sensor, processing the weight data of the empty truck or empty bucket measured in previous times, and calculating the measured weight and the average value and then uploading the result as the actual data to the cloud server. These advantages enable the method to better meet the accuracy and reliability requirements of garbage truck weighing data, improve operation efficiency and data real-time performance, and have good application prospects and promotion value.

[0099] In this specification, each embodiment is described in a progressive manner. Each embodiment focuses on the differences from other embodiments. For the same or similar parts among the embodiments, reference can be made to each other.

[0100] Specific examples are used in this article to elaborate on the principles and implementation methods of the present invention. The descriptions of the above embodiments are only for helping to understand the method of the present invention and its core idea. At the same time, for those of ordinary skill in the art, based on the idea of the present invention, there will be changes in the specific implementation methods and application scopes. In summary, the content of this specification should not be construed as a limitation to the present invention.

Claims

1. A dynamic calibration method for a garbage truck weighing system, characterized in that, The calibration method includes the following steps: Perform n garbage weighing operations on the garbage truck in the first state to obtain n first weight data; the first state is the state of the garbage truck before garbage weighing; Perform comprehensive calculation on the n first weight data to obtain calibration weight data; Perform a garbage weighing operation on the garbage truck in the second state to obtain second weight data; The second state is the state of the garbage truck during weighing, carrying at least one garbage bin to be weighed; Calibrate the second weight data according to the calibration weight data to obtain calibrated weight data.

2. The dynamic calibration method of the garbage truck weighing system according to claim 1, characterized in that Performing comprehensive calculation on the n first weight data to obtain calibration weight data specifically includes: Calculate the average value of the n first weight data as the calibration weight data.

3. The dynamic calibration method of the garbage truck weighing system according to claim 1, characterized in that Performing comprehensive calculation on the n first weight data to obtain calibration weight data specifically includes: Perform weighted summation on the n first weight data to obtain the calibration weight data.

4. The dynamic calibration method of the garbage truck weighing system according to claim 3, characterized in that The weights of the respective first weight data are obtained in the following manner: Calculate the average value of the n first weight data; Calculate the difference between each first weight data and the average value; Determine the weight of each first weight data according to the magnitude of the absolute value of the difference and the front-back order of the measurement of the first weight data.

5. The dynamic calibration method of the garbage truck weighing system according to claim 4, wherein Determining the weight of each first weight data according to the magnitude of the absolute value of the difference and the front-back order of the measurement of the first weight data specifically includes: First, sort the first weight data in ascending order of the absolute value of the difference, and then perform secondary sorting on the first weight data with the same absolute value of the difference in the order from the latest to the earliest measurement time to obtain a weight data sequence; According to the weight data sequence, use the following formula to determine the weight of each first weight data; a1 + a2 + … + a n = 1; a1 > a2 > … > a n ; Among them, a1, a2, a n are the weights of the 1st, 2nd, and nth first weight data in the weight data sequence respectively.

6. The dynamic calibration method of the garbage truck weighing system according to claim 1, characterized in that The n first weight data are obtained within a preset time.

7. The dynamic calibration method of the garbage truck weighing system according to claim 6, characterized in that, The preset time is 40s.

8. The dynamic calibration method of the garbage truck weighing system according to claim 1, characterized in that, The steps of "performing n garbage weighing operations on the garbage truck in the first state to obtain n first weight data; the first state is the state of the garbage truck before garbage weighing" and "performing comprehensive calculation on the n first weight data to obtain calibration weight data" are controlled and executed by a one-key calibration button on the garbage truck control panel.

9. A dynamic calibration system for a garbage truck weighing system, characterized in that, The calibration system is applied to the calibration method according to any one of claims 1-8, and the calibration system includes: A first weight data acquisition module, configured to perform n garbage weighing operations on the garbage truck in the first state to obtain n first weight data; the first state is the state of the garbage truck before garbage weighing; A comprehensive calculation module, configured to perform comprehensive calculation on the n first weight data to obtain calibration weight data; A second weight data acquisition module, configured to perform a garbage weighing operation on the garbage truck in the second state to obtain second weight data; the second state is the state of the garbage truck during weighing, carrying at least one garbage bin to be weighed; A calibration module, configured to calibrate the second weight data according to the calibration weight data to obtain calibrated weight data.

10. An electronic device, characterized in that, Comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein when the processor executes the computer program, the calibration method according to any one of claims 1 to 8 is implemented.

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