Weighing sensor precision correction method and device, electronic equipment and storage medium

Abstract

The invention discloses a weighing sensor precision correction method and device, electronic equipment and a storage medium. The method is applied to a controller in communication connection with a weighing sensor, and comprises the following steps: receiving an initial measurement value of a to-be-measured object transmitted by the weighing sensor; obtaining a measurement precision parameter of the weighing sensor; and correcting the initial measurement value according to the measurement precision parameter to obtain a target measurement value of the to-be-measured object. According to the invention, a temperature sensor does not need to be added in the weighing sensor, and the problems that a detection circuit becomes complex and the universality is poor when correction is carried out by using a hardware compensation method in the prior art are solved.

Description

Technical Field

[0001] The present disclosure relates to the technical field of weighing measurement, and particularly relates to a method, device, electronic device, and storage medium for calibrating the accuracy of a weighing sensor. Background Art

[0002] The stability of a weighing sensor is affected by multiple factors, among which temperature change is an important factor. Temperature change affects the sensitivity and zero drift of the weighing sensor. Different materials have different thermal expansion coefficients at different temperatures, which may cause deformation or fracture of the weighing sensor, thereby affecting the measurement accuracy.

[0003] A silicon piezoresistive pressure sensor chip mainly includes a bridge composed of four piezoresistors R1, R2, R3, and R4. Temperature change causes a change in resistance. Under the drive of a constant current source, the change in resistance causes a change in the output voltage, thereby bringing an error in the weighing result.

[0004] Scholars at home and abroad usually adopt a hardware compensation method of adding additional circuits in the circuit and a digital compensation method of implanting a compensation algorithm in the microprocessor to correct the temperature. However, when using the hardware compensation method for calibration, the detection circuit becomes complex and has poor versatility. Digital compensation technology generally requires a temperature sensor inside the digital weighing sensor. Summary of the Invention

[0005] Embodiments of the present application provide a method, device, electronic device, and storage medium for calibrating the accuracy of a weighing sensor, which do not require adding a temperature sensor in the weighing sensor, and solve the problems that the detection circuit becomes complex and has poor versatility when using the existing hardware compensation method for calibration.

[0006] In a first aspect, embodiments of the present application provide a method for calibrating the accuracy of a weighing sensor, which is applied to a controller communicatively connected to the weighing sensor. The method includes:

[0007] Receiving an initial measurement value of a measurement object transmitted by the weighing sensor;

[0008] Obtaining the measurement accuracy parameters of the weighing sensor;

[0009] Correcting the initial measurement value according to the measurement accuracy parameters to obtain a target measurement value of the measurement object.

[0010] In some embodiments, the measurement accuracy parameters include a temperature coefficient. Before receiving the initial measurement value of the measurement object transmitted by the weighing sensor, the method further includes:

[0011] Receiving a sampled measurement value of a sampled object collected by the weighing sensor at any temperature;

[0012] Determine the sampling value variance and expected value of the sampling measurement value of the sampling object;

[0013] Determine the temperature coefficient according to the sampling value variance and the expected value.

[0014] In some embodiments, the determining the temperature coefficient according to the sampling value variance and the expected value includes:

[0015] Determine the ratio of the value of the sampling value variance to the expected value as the measurement error of the load cell;

[0016] Determine the measurement error as the temperature coefficient of the load cell.

[0017] In some embodiments, the measurement accuracy parameter includes a measurement average value. According to the measurement average value and the temperature coefficient, correcting the initial measurement value to obtain the target measurement value of the object to be measured includes:

[0018] If the first measurement value in the initial measurement value is greater than the measurement average value, determine the ratio of the first measurement value to the first temperature deviation value as the target measurement value of the object to be measured, where the first temperature deviation value is the sum of the initial value and the temperature coefficient;

[0019] If the second measurement value in the initial measurement value is less than the measurement average value, determine the ratio of the second measurement value to the second temperature deviation value as the target measurement value of the object to be measured, where the second temperature deviation value is the difference between the initial value and the temperature coefficient;

[0020] If the third measurement value in the initial measurement value is equal to the measurement average value, determine the third measurement value as the target measurement value of the object to be measured.

[0021] In some embodiments, the receiving the initial measurement value of the object to be measured transmitted by the load cell includes:

[0022] Receive the initial measurement value of the object to be measured transmitted by the load cell within the target sampling period.

[0023] In some embodiments, the load cell is set as a silicon piezoresistive pressure sensor.

[0024] In a second aspect, an embodiment of the present application provides a load cell accuracy correction device, including:

[0025] A data receiving module, configured to receive the initial measurement value of the object to be measured transmitted by the load cell;

[0026] A data acquisition module, communicatively connected to the data receiving module, configured to acquire the measurement accuracy parameter of the load cell;

[0027] A data correction module, communicatively connected to the data acquisition module, is configured to correct the initial measurement value according to the measurement accuracy parameter to obtain the target measurement value of the object to be measured.

[0028] In one embodiment, the measurement accuracy parameter includes a temperature coefficient, and the data acquisition module includes;

[0029] A data sampling unit, configured to receive the sampling measurement value of the sampling object collected by the weighing sensor at any temperature;

[0030] A data processing unit, communicatively connected to the data sampling unit, is configured to determine the sampling value variance and the expected value of the sampling measurement value of the sampling object; and determine the temperature coefficient according to the sampling value variance and the expected value.

[0031] In one embodiment, the data processing unit is further configured to determine that the ratio of the value of the sampling value variance to the expected value is the measurement error of the weighing sensor;

[0032] Determine that the measurement error is the temperature coefficient of the weighing sensor.

[0033] In one embodiment, the measurement accuracy parameter includes a measurement average value, and the data correction module is further configured to, if a first measurement value in the initial measurement value is greater than the measurement average value, determine that the ratio of the first measurement value to a first temperature deviation value is the target measurement value of the object to be measured, where the first temperature deviation value is the sum of an initial value and the temperature coefficient;

[0034] If a second measurement value in the initial measurement value is less than the measurement average value, determine that the ratio of the second measurement value to a second temperature deviation value is the target measurement value of the object to be measured, where the second temperature deviation value is the difference between the initial value and the temperature coefficient;

[0035] If a third measurement value in the initial measurement value is equal to the measurement average value, determine that the third measurement value is the target measurement value of the object to be measured.

[0036] In one embodiment, the data receiving module is further configured to receive the initial measurement value of the object to be measured transmitted by the weighing sensor within a target sampling period.

[0037] In one embodiment, the weighing sensor is a silicon piezoresistive pressure sensor.

[0038] In a third aspect, an embodiment of the present application further provides an electronic device, which includes a processor, a memory, and a computer program stored in the memory and executable on the processor. The processor executes the computer program to implement the steps in the weighing sensor accuracy correction method described in any one of the above.

[0039] In a fourth aspect, an embodiment of the present application further provides a computer-readable storage medium, in which a number of instructions are stored for a controller to execute to implement the weighing sensor accuracy correction method as described in any one of the above.

[0040] By adopting the solution of the embodiment of the application, there is no need to add a temperature sensor in the weighing sensor, which solves the problems that the detection circuit becomes complex and the universality is poor when using the hardware compensation method for correction in the prior art. It has the advantages of simple structure, large operating temperature range, and high accuracy after compensation. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the following drawings are only some embodiments of the present application. For those skilled in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0042] Figure 1 It is a flowchart of the weighing sensor accuracy correction method provided in the embodiment of the present application;

[0043] Figure 2 It is a flowchart of the weighing sensor accuracy correction method provided in the embodiment of the present application;

[0044] Figure 3 It is a schematic structural diagram of a weighing sensor accuracy correction device in the embodiment of the present application;

[0045] Figure 4 It is a schematic structural diagram of an electronic device in the embodiment of the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0046] Next, the technical solutions in the embodiments of the present application will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative efforts belong to the scope of protection of the present application. At the same time, in the description of the embodiments of the present application, terms such as "first" and "second" are only used for distinguishing descriptions, and cannot be understood as indicating or implying relative importance. Thus, the features defined with "first" and "second" may explicitly or implicitly include one or more features. In the description of the embodiments of the present application, the meaning of "a plurality" is two or more, unless otherwise specifically defined.

[0047] This application is applied to a controller communicatively connected to a weighing sensor. For example, in current industrial production, a PLC (Programmable Logic Controller) is generally provided. When applying the solution of this application, there is no need to additionally add a hardware device as the controller. The weighing sensor uses a silicon piezoresistive pressure sensor chip, which mainly includes a bridge composed of four piezoresistive resistors R1, R2, R3, and R4. The output of the weighing sensor is connected to the analog input of the PLC using a cable with a shielding layer.

[0048] Perform a temperature characteristic analysis on the weighing sensor. According to its structure of using a bridge composed of four piezoresistive resistors R1, R2, R3, and R4, derive the relationship between the output voltage U0, which is the measurement result, and the resistance value affected by temperature: U i is the input and output voltage of the bridge circuit. Let the standard resistance value in the bridge circuit be R, and the sum of the resistance deviations of each resistor in the bridge circuit be ε1, ε2, ε3, and ε4 respectively. Then the resistance in the circuit can be expressed as Rj = R + ε j , where j = 1, 2, 3, 4. The obtained relationship is:

[0049]

[0050] Please refer to Figure 1 , the specific process of this weighing sensor accuracy correction method can be as follows S100 - S300, and the method includes:

[0051] S100. Receive the initial measurement value of the object to be measured transmitted by the weighing sensor.

[0052] Specifically, the controller receives the initial measurement value of the object to be measured transmitted by the communicatively connected weighing sensor. Since the weighing sensor mainly includes a bridge composed of four piezoresistive resistors R1, R2, R3, and R4, the initial measurement value is the output voltage U0 of the bridge circuit.

[0053] In one embodiment, this step includes: S110. Receive the initial measurement value of the object to be measured transmitted by the weighing sensor within the target sampling period. In addition, set the target sampling period. Every target sampling period, the controller receives the initial measurement value transmitted by the weighing sensor. The number of initial measurement values within one sampling period is not limited and can be freely set according to needs.

[0054] S200. Obtain the measurement accuracy parameter of the weighing sensor.

[0055] Specifically, obtain the measurement accuracy parameter of the weighing sensor. The measurement accuracy parameter is used to correct the measurement value error of the weighing sensor caused by temperature factors. The measurement accuracy parameter is obtained through sampling calibration and then written into the controller. During the measurement process of the weighing sensor, the controller directly reads the measurement accuracy parameter.

[0056] In one embodiment, as Figure 2 shown, the measurement accuracy parameter includes a temperature coefficient. Before this step, it further includes: S010. Receive the sampling measurement value of the sampling object collected by the weighing sensor at any temperature; S020. Determine the sampling value variance and the expected value of the sampling measurement value of the sampling object; S030. Determine the temperature coefficient according to the sampling value variance and the expected value.

[0057] Specifically, receive the sampling measurement value of the sampling object collected by the weighing sensor at any temperature. For example, place the weighing sensor and the weight on a water bath and use the water bath to adjust the working environment temperature of the weighing sensor. However, it is not necessary to pay attention to the temperature at which the weighing sensor is located. Subsequently, the processing of the sampling measurement value does not need to involve temperature information. Among them, there are many samples of the sampling measurement value. Determine the sampling value variance and the expected value of the sampling measurement value of the sampling object. Determine that the ratio of the value of the sampling value variance to the expected value is the measurement error of the weighing sensor object, and determine the measurement error as the temperature coefficient of the weighing sensor.

[0058] It should be noted that the solution of this embodiment does not focus on temperature but corrects the error caused by temperature through the sampling value variance and the expected value. To avoid the inaccuracy of the measurement accuracy parameter caused by different measurement objects, in this solution, the weighing sensor is applied to measure a fixed object, so the sampling object is also set as a fixed object.

[0059] Let the specified standard temperature value be Temp. At this temperature, the output accuracy of the weighing sensor is δ, and the output accuracy δ of the weighing sensor at any temperature Temp h of h results in the relationship: δ h =|Temp h-Temp·0.01% + δ. First, calibrate the measurement variance of the sensor at the standard temperature value Temps to be σ. During actual measurement, sample with a sampling period of Ts, and take N points in each period. Then the variance of the sampled values at any time t is where σt is the variance of the sampled values at any time, xi is the sampled value, and μ is the expected value. Assume the sample size is large enough, then the expected value μ is the actual value. x i = (1 - β i )μ, where β is the actual error of the i-th sampling point. Then Equation (1) can be rewritten as: In the theoretical case, β i = δ h , so the expression of Equation (2) in the theoretical case is: In addition, the measurement accuracy parameter also includes but is not limited to the measurement average value, which can be freely set according to needs.

[0060] After determining the measurement accuracy parameter through sampling, create a variable table as shown in Table 1 in the PLC.

[0061] Table 1

[0062]

[0063]

[0064] The instruction uses the SCL language to implement compensation in the PLC

[0065] FOR #i := 1 TO #N DO

[0066] #tempsum := #tempsum + #SampleData[#i];

[0067] END_FOR;

[0068] #avg := #tempsum / #N;

[0069] FOR #i := 1 TO #N DO

[0070] #tmpU2 := SQR(#SampleData[#i] - #avg);

[0071] END_FOR;

[0072] #tmpU := SQRT(#tmpU2) / SQRT(#N) / #avg.

[0073] S300. Correct the initial measurement value according to the measurement accuracy parameter to obtain the target measurement value of the object to be measured.

[0074] Specifically, the measurement accuracy parameters include the temperature coefficient and the measurement average value. The initial measurement value is corrected according to the temperature coefficient and the measurement average value to obtain the target measurement value of the object to be measured.

[0075] In one embodiment, this step includes: S310. If the first measurement value in the initial measurement value is greater than the measurement average value, determine that the ratio of the first measurement value to the first temperature deviation value is the target measurement value of the object to be measured, where the first temperature deviation value is the sum of the initial value and the temperature coefficient; S320. If the second measurement value in the initial measurement value is less than the measurement average value, determine that the ratio of the second measurement value to the second temperature deviation value is the target measurement value of the object to be measured, where the second temperature deviation value is the difference between the initial value and the temperature coefficient; S330. If the third measurement value in the initial measurement value is equal to the measurement average value, determine that the third measurement value is the target measurement value of the object to be measured.

[0076] Specifically, when the initial measurement value input by the load cell received by the processor is greater than the measurement average value, the target measurement value is the initial measurement value / (1 + temperature coefficient). When the initial measurement value is less than the measurement average value, the target measurement value is the initial measurement value / (1 - temperature coefficient). After being processed in the processor, the target measurement value is used as the output value.

[0077] In this embodiment, without adding a temperature sensor and without using the hardware compensation method for calibration, an external PLC is used to perform compensation using a compensation algorithm, which greatly improves the output accuracy of the load cell, has a simple structure and is easy to implement, and the compensation effect is remarkable.

[0078] This embodiment also provides a load cell accuracy calibration device, which can be specifically integrated in a terminal device. For example, as Figure 3 shown, the load cell accuracy calibration device 900 may include:

[0079] A data receiving module 910, configured to receive the initial measurement value of the object to be measured transmitted by the load cell;

[0080] A data acquisition module 920, communicatively connected to the data receiving module 910, and configured to acquire the measurement accuracy parameters of the load cell;

[0081] A data correction module 930, communicatively connected to the data acquisition module 920, and configured to correct the initial measurement value according to the measurement accuracy parameters to obtain the target measurement value of the object to be measured.

[0082] In one embodiment, the measurement accuracy parameters include a temperature coefficient, and the data acquisition module 910 includes;

[0083] A data sampling unit 911, configured to receive the sampling measurement values of a sampling object collected by the weighing sensor at any temperature;

[0084] A data processing unit 912, communicatively connected to the data sampling unit 911, configured to determine the sampling value variance and the expected value of the sampling measurement values of the sampling object; and determine the temperature coefficient according to the sampling value variance and the expected value.

[0085] In one embodiment, the data processing unit 912 is further configured to determine that the ratio of the value of the sampling value variance to the expected value is the measurement error of the weighing sensor;

[0086] Determine that the measurement error is the temperature coefficient of the weighing sensor.

[0087] In one embodiment, the measurement accuracy parameter includes a measurement average value, and the data correction module 930 is further configured to, if a first measurement value in the initial measurement values is greater than the measurement average value, determine that the ratio of the first measurement value to a first temperature deviation value is the target measurement value of the object to be measured, where the first temperature deviation value is the sum of an initial value and the temperature coefficient;

[0088] If a second measurement value in the initial measurement values is less than the measurement average value, determine that the ratio of the second measurement value to a second temperature deviation value is the target measurement value of the object to be measured, where the second temperature deviation value is the difference between the initial value and the temperature coefficient;

[0089] If a third measurement value in the initial measurement values is equal to the measurement average value, determine that the third measurement value is the target measurement value of the object to be measured.

[0090] In one embodiment, the data receiving module 910 is further configured to receive the initial measurement values of the object to be measured transmitted by the weighing sensor within a target sampling period.

[0091] In one embodiment, the weighing sensor is a silicon piezoresistive pressure sensor.

[0092] In the above embodiments, the descriptions of the respective embodiments have their own emphases. For parts not detailed in a certain embodiment, reference may be made to the relevant descriptions of other embodiments.

[0093] In some embodiments of the present application, the weighing sensor accuracy correction device 900 may be implemented in the form of a computer program, and the computer program can run on a computer device as shown in Figure 4 The memory of the computer device may store each program module that composes the weighing sensor accuracy correction device 900. For example, Figure 3The data receiving module 910, the data acquiring module 920 and the data correcting module 930 are shown. The computer program composed of various program modules enables the processor to execute the steps of the image detection method of each embodiment of the present application described in this specification.

[0094] For example, Figure 4 The computer device shown can be Figure 3 The data receiving module 910 in the weighing sensor precision correction device 900 shown executes step S100. The computer device can execute step S200 through the data acquisition module 920. The computer device can execute step S300 through the data correction module 930. The computer device includes a processor, a memory and a network interface connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The network interface of the computer device is used to communicate with an external computer device through a network connection. When the computer program is executed by the processor, a picture detection method is implemented.

[0095] Those skilled in the art will understand that Figure 4 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0096] Accordingly, the embodiment of the present application also provides an electronic device, which may be a terminal, and the terminal may be a smart phone, a tablet computer, a laptop computer, a touch screen, a game console, a personal computer (PC, Personal Computer), a personal digital assistant (Personal Digital Assistant, PDA) and other terminal devices. Alternatively, the electronic device may be a server.

[0097] The electronic device includes one or more processors; a memory; and one or more applications, wherein the one or more applications are stored in the memory and configured to execute the steps of the weighing sensor accuracy calibration method by the processor. The steps of the weighing sensor accuracy calibration method here can be the steps of the weighing sensor accuracy calibration method in the above-mentioned embodiments.

[0098] In some embodiments of the present application, a computer-readable storage medium is provided, storing a computer program, which is loaded by a processor, so that the processor executes the steps of the above-mentioned weighing sensor accuracy correction method. The steps of the weighing sensor accuracy correction method here may be the steps in the weighing sensor accuracy correction methods of the above-mentioned various embodiments.

[0099] Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above-mentioned embodiments can be completed by instructing relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned various methods. Any reference to a memory, storage, database or other medium used in the various embodiments provided in the present application may include at least one of non-volatile and volatile memories. Non-volatile memory may include read-only memory (ROM), magnetic tape, floppy disk, flash memory or optical memory, etc. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc.

[0100] The technical features of the above embodiments can be combined arbitrarily. For the sake of brevity of description, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, it should be considered to be within the scope described in this specification.

[0101] The above has introduced in detail a weighing sensor accuracy correction method, device, electronic device and computer-readable storage medium provided by the embodiments of the present application. Specific examples are used in this article to elaborate on the principles and implementation manners of the present invention. The description of the above embodiments is only used to help understand the method and its core idea of the present invention; at the same time, for those skilled in the art, according to the idea of the present invention, there will be changes in the specific implementation manners and application scopes. In summary, the content of this specification should not be construed as a limitation to the present invention.

Claims

1. A method for calibrating the accuracy of a load cell, which is applied to a controller communicatively connected to the load cell, characterized in that, The method includes: Receiving an initial measurement value of an object to be measured transmitted by the weighing sensor; Obtaining a measurement accuracy parameter of the weighing sensor; Correcting the initial measurement value according to the measurement accuracy parameter to obtain a target measurement value of the object to be measured.

2. The method for calibrating the accuracy of a weighing sensor according to claim 1, characterized in that, The measurement accuracy parameter includes a temperature coefficient. Before receiving the initial measurement value of the object to be measured transmitted by the weighing sensor, it further includes: Receiving a sampled measurement value of a sampled object collected by the weighing sensor at any temperature; Determining a sampled variance and an expected value of the sampled measurement value of the sampled object; Determining the temperature coefficient according to the sampled variance and the expected value.

3. The method for calibrating the accuracy of a weighing sensor according to claim 2, wherein The determining the temperature coefficient according to the sampled variance and the expected value includes: Determining that the ratio of the value of the sampled variance to the expected value is the measurement error of the weighing sensor; Determining that the measurement error is the temperature coefficient of the weighing sensor.

4. The method for calibrating the accuracy of a load cell according to claim 3, wherein The measurement accuracy parameter includes a measurement average value. According to the measurement average value and the temperature coefficient, correcting the initial measurement value to obtain a target measurement value of the object to be measured includes: If a first measurement value in the initial measurement value is greater than the measurement average value, determining that the ratio of the first measurement value to a first temperature deviation value is the target measurement value of the object to be measured, where the first temperature deviation value is the sum of an initial value and the temperature coefficient; If a second measurement value in the initial measurement value is less than the measurement average value, determining that the ratio of the second measurement value to a second temperature deviation value is the target measurement value of the object to be measured, where the second temperature deviation value is the difference between the initial value and the temperature coefficient; If a third measurement value in the initial measurement value is equal to the measurement average value, determining that the third measurement value is the target measurement value of the object to be measured.

5. The method for calibrating the accuracy of a load cell according to claim 1 or 4, characterized in that The receiving the initial measurement value of the object to be measured transmitted by the weighing sensor includes: Receiving the initial measurement value of the object to be measured transmitted by the weighing sensor within a target sampling period.

6. The method for calibrating the accuracy of a weighing sensor according to claim 1, characterized in that, The weighing sensor is set as a silicon piezoresistive pressure sensor.

7. A weighing sensor accuracy correction device, characterized in that, It includes: A data receiving module, configured to receive an initial measurement value of an object to be measured transmitted by the weighing sensor; A data obtaining module, communicatively connected to the data receiving module, configured to obtain a measurement accuracy parameter of the weighing sensor; A data correcting module, communicatively connected to the data obtaining module, configured to correct the initial measurement value according to the measurement accuracy parameter to obtain a target measurement value of the object to be measured.

8. The weighing sensor accuracy calibration device according to claim 7, characterized in that The measurement accuracy parameter includes a temperature coefficient. The data obtaining module includes; A data sampling unit, configured to receive a sampled measurement value of a sampled object collected by the weighing sensor at any temperature; A data processing unit, communicatively connected to the data sampling unit, configured to determine a sampled variance and an expected value of the sampled measurement value of the sampled object; and determine the temperature coefficient according to the sampled variance and the expected value.

9. An electronic device, characterized in that, The electronic device includes a processor, a memory, and a computer program stored in the memory and executable on the processor, and the processor executes the computer program to implement the steps in the weighing sensor accuracy correction method according to any one of claims 1 to 6.

10. A computer-readable storage medium storing a number of instructions, characterized in that, The instructions are for a controller to execute to implement the weighing sensor accuracy correction method according to any one of claims 1 to 6.

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