Remote calibration method of a weighing device, readable storage medium

Abstract

This invention discloses a remote calibration method and a readable storage medium for a weighing device. The remote calibration method includes the following steps: selecting a standard vehicle with a weight of M, allowing it to pass through a first weighing location, and repeating this process several times; obtaining the weight M of the standard vehicle when it passes through the lane. i , velocity V, calculate correction factor L i With the pre-correction factor L k and the pre-corrected weight M iq and weight deviation ΔM i The process involves: determining whether the error of the correction coefficient exceeds the limit; the auditor modifying unreasonable data or excluding it from the calculation, generating a new correction coefficient, and writing it into the corresponding weighing equipment; having the standard vehicle pass through different lanes at the first weighing location again, and comparing the weight data with the value of M; then having the standard vehicle move to the second weighing location, and so on, until all weighing locations have been calibrated. This invention has the advantages of requiring fewer personnel and no manual intervention, and can solve the problems of high cost, risk of cheating, and poor traceability of existing calibration methods.

Description

Technical Field

[0001] This invention relates to the field of weighing equipment calibration technology, specifically to a remote calibration method and a readable storage medium for a weighing device. Background Technology

[0002] In weighing systems, due to the influence of factors such as road conditions during equipment use, regular calibration of the weighing equipment is necessary to ensure it meets national standards. For a long time, the calibration of weighing equipment has been carried out periodically by manufacturers or equipment maintenance providers through routine inspections. At each equipment location, a standard vehicle is driven through the weighing area at different positions and speeds, and information such as weight and speed during the vehicle's movement is recorded. Correction coefficients are then calculated based on the standard vehicle's data and set into the weighing system via interactive software. A method for calibrating dynamic weighing accuracy disclosed in CN109738049A is similar to the above process.

[0003] The main problems with the current technology are as follows: calibration requires an engineer to be on-site, which is inflexible and requires significant manpower and financial costs; the calibration process is poorly controllable, with variations in calibration methods and standards between different weighing locations and personnel, and correction coefficients need to be manually entered into the weighing system, posing a risk of cheating; the traceability and maintainability of calibration results are poor, and there is no capability to establish a big data model. Under the current calibration method, the average calibration time at each weighing location is 2 to 3 days, which is very time-consuming. Summary of the Invention

[0004] The purpose of this invention is to provide a remote calibration method and readable storage medium for weighing devices, which has the advantages of requiring fewer personnel and no manual intervention, thereby solving the problems of high cost, inflexibility, risk of cheating, and poor traceability of existing calibration methods.

[0005] The technical solution adopted in this invention is as follows:

[0006] A remote calibration method for a weighing device includes the following steps:

[0007] S1: Select a standard vehicle with a weight of M and have it pass through different lanes at the first weighing point in sequence, repeating this process several times.

[0008] S2: Obtain the weight M of a standard vehicle passing through each lane using weighing equipment. i And speed V, and upload it to the server;

[0009] S3: M i Compare the value with M to calculate the correction factor L. i With the pre-correction factor Lk , and L k is calculated iq , and the weight deviation ΔM i is calculated

[0010] S4: Determine whether the error of the correction coefficient exceeds the limit, if not, execute step S6, if exceeds, execute step S1 or S5;

[0011] S5: The auditor modifies or sets the unreasonable data not to participate in the calculation, generates a new correction coefficient, and executes step S6;

[0012] S6: Write the correction coefficient into the corresponding weighing device;

[0013] S7: Let the standard vehicle pass through different lanes of the first weighing point again, and obtain the weight data M q of the standard vehicle passing through each lane at the time, and upload to the server;

[0014] S8: Compare the weight data M q obtained in step S7 with the value of M, if the difference between the two is not more than ±2.5%, execute step S9, if it exceeds, execute step S1;

[0015] S9: The calibration of the first weighing point is completed, and the standard vehicle is driven to the second weighing point for calibration, until all the weighing points are calibrated.

[0016] Further, in step S3, L i is obtained by the following iterative operation:

[0017] L i = M / (M i / L i-1 ), where i is the number of times the standard vehicle passes through the same lane, i≥5;

[0018] When i=1, L i-1 is the initial correction coefficient before the weighing device is calibrated.

[0019] Further, in step S3, L

[0020] Further, step S4 includes the following process:

[0021] S41: Determine whether the L i deviation value at different speeds is less than 5%, if yes, execute step S42, if not, execute step S1 or S5;

[0022] S42: Determine whether the ΔM iIf it is within ±2.5%, proceed to step S6.

[0023] Furthermore, step S6 also includes the following process: storing the correction coefficient L i Generate a calibration list based on the raw data collected during the calibration process.

[0024] Furthermore, the specific process of step S1 is as follows:

[0025] S11: The manufacturer or equipment maintenance provider contacts the standard vehicle, obtains the standard vehicle's license plate and weight information, and informs the standard vehicle owner of the weighing location and calibration time;

[0026] S12: Select the designated weighing location to be calibrated through the calibration software, and set the information of the standard vehicle, mainly including the standard vehicle weight, license plate information, calibration time and other related information.

[0027] S13: Standard vehicles arrive at the first weighing location at the predetermined time, pass through different lanes of the first weighing location in sequence, and repeat this process several times.

[0028] Further:

[0029] In step S1, the number of axles Z of the standard vehicle is also obtained in advance;

[0030] In step S2, the number of axles Z of the standard vehicle is also obtained using a weighing device. i And upload it to the server;

[0031] In step S3, Z will also be i Compare with Z, if Z i If it is not Z, then notify the reviewers.

[0032] The present invention also provides a readable storage medium comprising a computer program that, when executed, implements the remote calibration method for the weighing device as described in any one of claims 1-7.

[0033] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are:

[0034] (1) This invention solves the problem that engineers need to go to the site to perform calibration, saving a lot of manpower and material resources;

[0035] (2) This invention solves the problems of inconsistent calibration standards, inconsistent processes, and uncontrollable processes. Based on the mechanism of automatic identification, calculation and generation, it effectively ensures the accuracy, rationality and controllability of the calibration process.

[0036] (3) The present invention preserves the original data of the calibration process, ensuring the traceability of the calibration. Attached Figure Description

[0037] Figure 1 This is a route map for standard vehicles.

[0038] Figure 2 This is a route map for standard vehicles at the first weighing point.

[0039] Figure 3 This is a flowchart of a remote calibration method for a weighing device.

[0040] Figure 4 This is a flowchart of step S4 in the remote calibration method for a weighing device. Detailed Implementation

[0041] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only for explaining the invention and are not intended to limit the invention.

[0042] Example 1

[0043] This embodiment provides a remote calibration method for weighing devices, used to calibrate weighing equipment at vehicle weighing facilities such as overload stations. It is particularly suitable for calibrating weighing equipment at multiple overload stations in different locations. Figure 1 As shown, these vehicle weighing facilities are often far apart. For a long time, the calibration of these weighing devices has been the responsibility of the manufacturers or equipment maintenance providers. Calibration requires qualified engineers to come to the site and then test with standard vehicles of known weight. During the calibration process, engineers need to calculate the weighing error and correction coefficient on-site and then enter the correction coefficient into the weighing system through calibration software. This process is very inefficient, and the correction coefficient is greatly affected by human factors, posing uncontrollable risks such as cheating.

[0044] A remote calibration method for a weighing device according to this embodiment includes the following steps:

[0045] S1: Select a standard vehicle with a weight of M, and have it pass through different lanes at the first weighing point in sequence, as follows:

[0046] S11: The manufacturer or equipment maintenance provider contacts the standard vehicle, obtains the standard vehicle's license plate and weight information, and informs the driver of the standard vehicle of the weighing location and time that need to be calibrated.

[0047] S12: Select the weighing location to be calibrated on the server side and set the information of the standard vehicle, which includes at least the standard vehicle weight, license plate information, and scheduled calibration time information.

[0048] S13: The standard vehicle arrives at the first weighing point at the predetermined calibration time and passes through different lanes of the first weighing point in sequence at a speed of V, repeating this process several times.

[0049] The value of M is related to the number of axles of the standard vehicle. When the standard vehicle has 4 axles, M = 30 tons. When the standard vehicle has 6 axles, M = 45 tons. In this embodiment, we take a standard vehicle with M = 30 tons and 4 axles.

[0050] When a standard vehicle passes through a weighing device, its speed should be maintained between 10 and 80 km / h, and the standard vehicle should be ensured to pass through the same lane at the same speed repeatedly in order to obtain multiple weighing data at the same speed.

[0051] Optionally, when a standard vehicle repeatedly passes through the same lane, it can travel at different speeds, but the weighing results need to be converted to data at the same speed. This conversion process is achieved through the speed coefficient built into the weighing equipment. Generally, during normal weighing, the weighing equipment will convert the weighing results according to the vehicle speed in order to eliminate the influence of vehicle speed on the weighing results as much as possible.

[0052] S2: When a standard vehicle passes through a lane, the license plate number is obtained through a license plate recognition device, and the weight M of the standard vehicle passing through that lane is obtained through weighing devices installed in each lane. i If the identified license plate number matches the license plate number of a standard vehicle, then the weight M will be... i Uploaded to the server;

[0053] The weighing equipment is connected to the server via fiber optic cable for data uploading and correction factor input.

[0054] S3: M i Compare the value with M to calculate the correction factor L. i With the pre-correction factor L k And through L k Calculate the pre-corrected weight M iq and weight deviation ΔM i ;

[0055] L i The following iterative calculation was performed to obtain:

[0056] L i =M / (M i / L i-1 ), where i is the number of times a standard vehicle passes through the same lane, i≥5;

[0057] When i = 1, L i-1 Initial correction factors before calibrating the weighing equipment.

[0058] For example:

[0059] A standard vehicle with M=30t passes through lane A of the first weighing point for the first time at a speed of 30km / h. The weighing equipment measures M1=30.13t. The L0 of the weighing equipment is 1.017. Then L1=M / (M1 / L0), and calculates L1=1.010. L1 is used as the new correction factor.

[0060] The standard vehicle passes through lane A of the first weighing point for the second time at a speed of 30 km / h. The weighing equipment measures M2 = 30.22t. Then L2 = M / (M2 / L1), and calculates L2 = 1.015. L2 is used as the new correction factor.

[0061] The standard vehicle passes through lane A of the first weighing point for the third time at a speed of 30 km / h. The weighing equipment measures M3 = 30.12t. Then L3 = M / (M3 / L2), and calculates L3 = 1.006. L3 is used as the new correction factor.

[0062] The standard vehicle passes through lane A of the first weighing point for the fourth time at a speed of 30 km / h. The weighing equipment measures M4 = 30.09t. Then L4 = M / (M4 / L3), and calculates L4 = 1.003. L4 is used as the new correction factor.

[0063] The standard vehicle passes through lane A of the first weighing point for the 5th time at a speed of 30 km / h. The weighing equipment measures M5 = 30.10t. Then L5 = M / (M5 / L4), and calculates L5 = 0.999. L5 is used as the new correction factor.

[0064] but Substituting L1 to L5, we get L k =1.007.

[0065] With L k =1.007 Recalculate M i Perform a pre-correction to obtain the pre-corrected weight M. iq and weight deviation ΔM i M iq =M i ×L k / L i-1 ΔM i =M iq -M, as follows:

[0066] M 1q =M1×L k / L0=29.83(t), ΔM1=M 1q -M = -0.17;

[0067] M 2q =M2×Lk / L1=30.14(t), ΔM2=M 2q -M = 0.14;

[0068] M 3q =M3×L k / L2=30.16(t), ΔM3=M 3q -M = 0.16;

[0069] M 4q =M4×L k / L3=30.22(t), ΔM4=M 4q -M = -0.22;

[0070] M 5q =M5×L k / L4=30.33(t), ΔM5=M 5q -M = 0.33;

[0071] S4: Determine whether the error of the correction coefficient exceeds the limit. The specific process is as follows:

[0072] S41: Determine the L at different speeds after speed coefficient correction. i If the deviation value is less than 5%, proceed to step S42; if it is not less than 5%, proceed to step S1 or S5.

[0073] For example, the speed coefficient of a certain type of weighing sensor is k, which satisfies k = -0.00097V + 1.036, where V is the vehicle speed. Then, when V = 30 km / h, k... 30 =1.0069, when V = 60km / h, k 60 =0.9778, when V=80km / h, k 80 =0.9584, L is calculated from V = 30km / h k Substituting 1.007 into the equation, we can obtain L when V = 80 km / h. i The value is 1.007×k 80 / k 30 =0.956,

[0074] L with speeds of 80km / h and 30km / h respectively i The value deviation is ΔL i =1.007-0.956=0.051, the deviation rate is ΔL i / L k ×100% = 5.06%, which is greater than 5%, so step S1 can be performed for recalibration.

[0075] The different speeds here are generally those where the difference between the maximum and minimum speeds is within 50 km / h, such as between 10 and 60 km / h, or between 30 and 80 km / h. Under normal circumstances, when the speed difference is within 50 km / h, the deviation rate is considered.

[0076] S42: Determine ΔM obtained at the same speed i Whether it is within ±2.5%, as follows:

[0077] ΔM1 / M=﹣0.6%,

[0078] ΔM² / M = 0.5%,

[0079] ΔM3 / M=0.5%,

[0080] ΔM4 / M=0.7%,

[0081] ΔM5 / M=1.1%,

[0082] The above ΔM i All are within ±2.5%, therefore proceed to step S6; if any ΔM obtained during calibration... i If the value is not within the range, then proceed to step S1 or S5.

[0083] S5: Notify the auditors, who will modify the unreasonable data or exclude it from the calculation, generate a new correction coefficient, and proceed to step S6.

[0084] Unreasonable data here refers to data that differs significantly from the standard vehicle weight M. For example, data that differs from M by more than 10% can be considered unreasonable data and should be adjusted as needed in actual application.

[0085] S6: Write the correction factor into the corresponding weighing device, store the original data of the calibration process, and generate a calibration list.

[0086] S7: After the weighing equipment in all lanes at the first weighing point is calibrated, the standard vehicle is allowed to pass through different lanes at the first weighing point again, and the weight data M of the standard vehicle when passing through each lane is obtained. q Upload to the server;

[0087] S8: Transfer the weight data M obtained in step S7 q Compare with the value of M. If the difference between the two does not exceed ±2.5%, proceed to step S9. If the difference does not meet the requirements, proceed to step S1.

[0088] S9: The calibration at the first weighing location is complete. The standard vehicle is then driven to the second weighing location for calibration, and so on, until all weighing locations have been calibrated.

[0089] Through the above process, assuming there are 4 weighing locations at different locations, such as... Figure 1 As shown, standard vehicles can be directed to these weighing locations sequentially along a preset route and pass through the lanes as described above. This process does not require an engineer to be on-site; only a driver is needed to drive the vehicle along the predetermined route. The calibration of the weighing device essentially eliminates human interference. The calculation and input of the correction coefficient are performed automatically by the calibration software installed on the server, eliminating the need for manual calculation and input, thus significantly improving calibration efficiency.

[0090] Example 2

[0091] Current weighing devices can not only weigh vehicles in motion but also measure the number of axles, facilitating the determination of vehicle type and whether it is overloaded. Therefore, this embodiment provides a remote calibration method for a weighing device different from Embodiment 1. This method includes detecting the accuracy of the axle count detection by the weighing sensor, as follows:

[0092] S1: Select a standard vehicle with a weight of M and a number of axles of Z, and have it pass through different lanes at the first weighing point in sequence. The specific process is as follows:

[0093] S11: The manufacturer or equipment maintenance provider contacts the standard vehicle, obtains the standard vehicle's license plate, weight, and number of axles, and informs the standard vehicle owner of the weighing location and calibration time;

[0094] S12: Select the specified weighing location to be calibrated through the calibration software, and set the information of the standard vehicle, mainly including the standard vehicle weight, number of axles, license plate information, calibration time and other related information;

[0095] S13: Have the standard vehicle pass through different lanes of the first weighing point in sequence, repeating this process several times.

[0096] S2: Obtain the weight M of a standard vehicle passing through each lane using weighing equipment. i and the number of axes Z i The speed V of a standard vehicle passing through the weighing equipment is obtained through the speed measuring device in each lane and uploaded to the server;

[0097] S31: Z i Compare with Z, if Z i If the value is not equal to Z, then notify the reviewers.

[0098] The subsequent process is the same as in Example 1, and will not be repeated here.

[0099] Through the above process, when the shaft count detector of the weighing device malfunctions and causes an error in the shaft count measurement, a maintenance engineer can be arranged to go to the location of the weighing device for repair.

[0100] Example 3

[0101] This embodiment provides a readable storage medium storing a computer program. The program can be stored in the storage medium of a computer system and executed by at least one processor of the computer system. When the program is executed, it implements the remote calibration method in any of the above embodiments. The readable storage medium can be a hard disk, a USB flash drive, an optical disk, or other storage media. The aforementioned calibration software is the computer program of this embodiment.

[0102] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A remote calibration method for a weighing device, characterized in that, Includes the following steps: S1: Select a standard vehicle with a weight of M and have it pass through different lanes at the first weighing point in sequence, repeating this process several times. S2: Obtain the weight M of a standard vehicle passing through each lane using weighing equipment. i And speed V, and upload it to the server; S3: M i Compare the value with M to calculate the correction factor L. i With the pre-correction factor L k And through L k Calculate the pre-corrected weight M iq and weight deviation ; S4: Determine whether the error of the correction coefficient exceeds the limit. If it does not exceed the limit, proceed to step S6. If it exceeds the limit, proceed to step S1 or S5. S5: The auditor modifies the unreasonable data or sets it to be excluded from the calculation, generates a new correction coefficient, and executes step S6; S6: Write the correction factor into the corresponding weighing device; S7: Have the standard vehicle pass through different lanes at the first weighing point again, and obtain the weight data M of the standard vehicle when passing through each lane. q Upload to the server; S8: Transfer the weight data M obtained in step S7 q Compare with the value of M. If the difference between the two is no more than ±2.5%, proceed to step S9; otherwise, proceed to step S1. S9: The calibration at the first weighing location is complete. The standard vehicle is then driven to the second weighing location for calibration, and so on, until all weighing locations have been calibrated. In step S3, L i The following iterative calculation was performed to obtain: L i =M / (M i / L i-1 ), where i is the number of times a standard vehicle passes through the same lane, i≥5; When i=1, L i-1 Initial correction factors before calibrating the weighing equipment; In step S3, Step S4 includes the following process: S41: Determine the L at different speeds i If the deviation value is less than 5%, proceed to step S42; if it is not less than 5%, proceed to step S1 or S5. S42: Determine the result at the same speed If the value is within ±2.5%, proceed to step S6; otherwise, proceed to step S1 or S5.

2. The remote calibration method for a weighing device according to claim 1, characterized in that, Step S6 also includes the following process: storing the correction coefficient L i Generate a calibration list based on the raw data collected during the calibration process.

3. The remote calibration method for a weighing device according to claim 1, characterized in that, The specific process of step S1 is as follows: S11: The manufacturer or equipment maintenance provider contacts the standard vehicle, obtains the standard vehicle's license plate and weight information, and informs the standard vehicle owner of the weighing location and calibration time; S12: Select the specified weighing location to be calibrated through the calibration software, and set the information of the standard vehicle, including the license plate, weight information, and calibration time information of the standard vehicle; S13: Standard vehicles arrive at the first weighing location at the predetermined time, pass through different lanes of the first weighing location in sequence, and repeat this process several times.

4. A remote calibration method for a weighing device according to any one of claims 1-3, characterized in that: In step S1, the number of axles Z of the standard vehicle is also obtained in advance; In step S2, the number of axles Z of the standard vehicle is also obtained using a weighing device. i And upload it to the server; In step S3, Z will also be i Compare with Z, if Z i If it is not Z, then notify the reviewers.

5. A remote calibration method for a weighing device according to any one of claims 1-3, characterized in that: The standard vehicle is electrically powered.

6. A readable storage medium storing a computer program, characterized in that, When the computer program is executed, it implements the remote calibration method for the weighing device as described in any one of claims 1-3.

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