Metering device calibration method and apparatus, storage medium and computer device

Abstract

The application discloses a kind of metrological equipment calibration method, device, storage medium and computer equipment.The method of the application comprises: in response to the calibration request of current calibration period, the calibration task is executed to the metrological equipment to be calibrated, and the calibration data of metrological equipment is obtained;According to the calibration data, the calibration result of metrological equipment is generated, and the two-dimensional code is generated according to the calibration result;In response to the scanning operation of two-dimensional code, the pick-up user information of pick-up user terminal triggering scanning operation is acquired;In the process of using metrological equipment, the field measurement data of metrological equipment is read, and the current calibration period is adjusted according to field measurement data, and the calibration period of next calibration of metrological equipment is determined;The calibration period of next calibration is sent to pick-up user terminal;If the confirmation signal of pick-up user terminal to the calibration period of next calibration is received, the calibration request of next calibration of metrological equipment is generated according to the calibration period of next calibration.

Description

Technical Field

[0001] This application relates to the field of metrological verification and calibration technology, and in particular to a calibration method, apparatus, storage medium and computer equipment for metrological equipment. Background Technology

[0002] Metrological equipment is an indispensable tool in laboratories and industrial production, and its performance directly affects experimental results and product quality. Therefore, effective calibration and management of metrological equipment is of paramount importance.

[0003] However, due to the large number of metrology devices and the need for regular calibration and maintenance, the calibration and management methods in related technologies are often cumbersome and inefficient. Obtaining calibration results is often not timely, leading to information delays. Furthermore, the fixed calibration cycle for metrology equipment lacks flexibility, requiring a new order for each submission, increasing unnecessary workload. The complex traceability process for equipment, frequent human error, and chaotic management of personnel handling instruments further reduce the accuracy and reliability of management. Summary of the Invention

[0004] In view of this, this application provides a calibration method, apparatus, storage medium, and computer equipment for metrological equipment, which improves the automation level of the metrological equipment calibration process, dynamically adjusts the calibration frequency of the metrological equipment according to its actual status, simplifies the traceability process of the metrological equipment, and ensures the reliability of the calibration.

[0005] According to one aspect of this application, a calibration method for a measuring device is provided, comprising:

[0006] In response to the calibration request of the current calibration cycle, the calibration task is performed on the measuring device to be calibrated, and the calibration data of the measuring device is obtained;

[0007] The calibration results of the metering device are generated based on the calibration data, and a QR code is generated based on the calibration results;

[0008] In response to the scanning operation of the QR code, the pickup user information of the pickup user terminal that triggered the scanning operation is obtained;

[0009] During the use of the metering equipment, the on-site measurement data of the metering equipment is read, and the current calibration cycle is adjusted according to the on-site measurement data to determine the calibration cycle for the next calibration of the metering equipment;

[0010] The calibration cycle for the next calibration will be sent to the pickup user terminal;

[0011] If a confirmation signal for the calibration cycle of the next calibration is received from the user terminal picking up the item, a calibration request for the next calibration of the metering device is generated according to the calibration cycle of the next calibration.

[0012] According to another aspect of this application, a calibration apparatus for a measuring device is provided, comprising:

[0013] The calibration module is configured to, in response to a calibration request in the current calibration cycle, perform a calibration task on the metering device to be calibrated and obtain calibration data of the metering device; generate a calibration result of the metering device based on the calibration data and generate a QR code based on the calibration result; and, in response to a scanning operation of the QR code, obtain the pickup user information of the pickup user terminal that triggered the scanning operation.

[0014] An adjustment module is configured to: read the on-site measurement data of the metering equipment during its use; adjust the current calibration cycle based on the on-site measurement data to determine the calibration cycle for the next calibration of the metering equipment; send the calibration cycle for the next calibration to the pickup user terminal; and, if a confirmation signal for the calibration cycle for the next calibration is received from the pickup user terminal, generate a calibration request for the next calibration of the metering equipment based on the calibration cycle for the next calibration.

[0015] According to another aspect of this application, a readable storage medium is provided having a program or instructions stored thereon, which, when executed by a processor, implement the steps of the above-described metrology equipment calibration method.

[0016] According to another aspect of this application, a computer device is provided, including a storage medium, a processor, and a computer program stored on the storage medium and executable on the processor, wherein the processor executes the program to implement the steps of the above-described metrology device calibration method.

[0017] By employing the above technical solutions, this application provides a calibration method, apparatus, storage medium, and computer equipment for metrological equipment. It automatically generates calibration tasks, eliminating the tedious steps of manual information entry and calibration task allocation, reducing human operation time, lowering the error rate, and improving overall calibration efficiency. After calibration, the user information is bound to a QR code to confirm the identity of the person receiving the metrological equipment. The calibration results are then pushed to the user's terminal via the QR code, avoiding information delays. Furthermore, the actual measurement status of the metrological equipment is continuously monitored, and the calibration cycle for the next calibration is dynamically adjusted based on the on-site measurement data. This avoids over-calibration or under-calibration, saving manpower, time, and costs, and extending the service life of the metrological equipment. The calibration frequency is dynamically adjusted according to the performance of the metrological equipment in different environments, improving equipment adaptability. Simultaneously, users can directly confirm the calibration cycle adjustment through the terminal, automatically triggering the next calibration task without resubmitting applications, reducing reliance on traditional management platforms, and shortening calibration task response time. This application forms a closed loop from initial calibration to recalibration. After the calibration cycle is adjusted, calibration tasks can be automatically regenerated, ensuring that the metrological equipment is always in optimal condition and improving the long-term reliability of measurement data.

[0018] The above description is only an overview of the technical solution of this application. In order to better understand the technical means of this application and to implement it in accordance with the contents of the specification, and to make the above and other objects, features and advantages of this application more obvious and understandable, the following are specific embodiments of this application. Attached Figure Description

[0019] The accompanying drawings, which are included to provide a further understanding of this application and form part of this application, illustrate exemplary embodiments and are used to explain this application, but do not constitute an undue limitation of this application. In the drawings:

[0020] Figure 1 A schematic flowchart of the metrology equipment calibration method provided in an embodiment of this application is shown;

[0021] Figure 2 A structural block diagram of the metrology equipment calibration device provided in an embodiment of this application is shown. Detailed Implementation

[0022] The present application will be described in detail below with reference to the accompanying drawings and embodiments. It should be noted that, unless otherwise specified, the embodiments and features described in the embodiments of the present application can be combined with each other.

[0023] The embodiments of this application are described in detail below. Examples of these embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain this application, and should not be construed as limiting this application.

[0024] Those skilled in the art will understand that, unless specifically stated otherwise, the singular forms “a,” “an,” “the,” and “the” used herein may also include the plural forms. It should be further understood that the term “comprising” as used in this application means the presence of the stated features, integers, steps, operations, elements, and / or components, but does not exclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and / or groups thereof. It should be understood that when we say an element is “connected” or “attached” to another element, it can be directly connected or attached to the other element, or there may be intermediate elements. Furthermore, “connected” or “attached” as used herein can include wireless connections or wireless interconnections. The term “and / or” as used herein includes all or any unit and all combinations of one or more associated listed items.

[0025] Exemplary embodiments according to this application will now be described in more detail with reference to the accompanying drawings. However, these exemplary embodiments may be implemented in many different forms and should not be construed as being limited to the embodiments set forth herein. It should be understood that these embodiments are provided so that the disclosure of this application is thorough and complete, and that the concept of these exemplary embodiments is fully conveyed to those skilled in the art.

[0026] This embodiment provides a calibration method for a measuring device, such as... Figure 1 As shown, the method includes:

[0027] Step 101: In response to the calibration request of the current calibration cycle, perform calibration tasks on the metrology equipment to be calibrated.

[0028] It should be noted that metrological equipment refers to devices used to measure and record various physical quantities, such as thermometers, pressure gauges, and electronic scales. Metrological equipment calibration refers to determining the indication error of a metrological device under specified conditions by comparing it with standard equipment, and making necessary adjustments to ensure the accuracy and consistency of its measurement results.

[0029] In this embodiment, in response to a calibration request for the current calibration cycle, a preset calibration procedure and professional field are matched based on the equipment information carried in the calibration request. Based on the matching result, a calibration task for the metrology equipment is generated, reducing manual ledger management and the need for delegation applications to the management platform, thereby improving calibration efficiency.

[0030] For example, based on the equipment information of the measuring equipment, it is determined which professional field the calibration of the measuring equipment belongs to, as well as the technical procedures to be used during calibration, and each calibration item in the technical procedures is obtained, thereby generating a calibration task.

[0031] Furthermore, the calibration task is sent to the calibration equipment associated with the metrology equipment to control the calibration equipment to perform the calibration task on the metrology equipment and collect the calibration data of the metrology equipment in real time, thereby improving the automation level of the calibration process and reducing errors.

[0032] It should be noted that this embodiment pre-sets the association between the measuring equipment and the calibration equipment according to the calibration type and specific calibration items. For example, a factory may have multiple measuring devices, including pressure gauges, temperature sensors, and voltmeters. Pressure gauges need to be associated with a pressure calibrator; temperature sensors need to be associated with a temperature calibration furnace; and voltmeters need to be associated with a multi-functional calibrator. During the calibration process where the calibration equipment performs calibration tasks on the measuring equipment, the parts that cannot be automated require the cooperation of verification personnel. This embodiment will not elaborate on these parts; the goal is simply to ensure the calibration effect.

[0033] Step 102: Generate calibration results for the metrology equipment based on the calibration data, and generate a QR code based on the calibration results.

[0034] Step 103: In response to the QR code scanning operation, obtain the pickup user information of the pickup user terminal that triggered the scanning operation.

[0035] In this embodiment, after the calibration task of the measuring equipment is completed, the calibration result of the measuring equipment is generated based on the calibration data. Here, the calibration result can be presented in the form of a calibration report. Specifically, for example, a calibration report is a document on the measurement accuracy and performance of a device, including the device information of the calibrated measuring equipment, the calibration procedure and process, the standard equipment or method used, the measurement data generated by the measuring equipment during the calibration process, the uncertainty analysis results, when the calibration was performed, the current calibration cycle (i.e., the validity period of the current calibration), and whether the device is qualified after calibration, etc.

[0036] The uncertainty analysis results include the traceability calibration value of the measuring equipment and the maximum permissible expanded uncertainty. The traceability calibration value is the standard reference value obtained through calibration of the measuring equipment; it is the theoretical measurement value that the equipment should achieve under specific conditions, used to ensure that the equipment's measurement values ​​are consistent with national / international standards (i.e., "traceability"). Expanded uncertainty represents the possible error range of the measuring equipment's measurement results, used to quantify the reliability of the measurement results and help users understand the accuracy and risks of the measurement values.

[0037] Furthermore, a QR code is generated based on the calibration results and displayed using a screen or other device. The user picking up the equipment (i.e., the user receiving the metrology equipment) scans the QR code using their terminal (i.e., the user's terminal). They then need to enter their own information (i.e., the user's information), such as name, contact information, and department, to confirm their identity and obtain a list of equipment users, facilitating the management of the metrology equipment. After filling in their information, the user can quickly obtain detailed calibration results from the metrology equipment, eliminating the need for tedious manual searching of paper reports or hierarchical retrieval within the system, greatly improving information retrieval efficiency. Here, the calibration results within the QR code can be encrypted or digitally signed to prevent information tampering and ensure the authenticity and reliability of the calibration results.

[0038] Step 104: During the use of the measuring equipment, read the on-site measurement data of the measuring equipment, adjust the current calibration cycle according to the on-site measurement data, and determine the calibration cycle for the next calibration of the measuring equipment.

[0039] In this embodiment, the calibration frequency is dynamically adjusted based on the performance of the measuring equipment in different environments to improve the equipment's adaptability, avoid over-calibration or under-calibration, save manpower, time and costs, and extend the service life of the measuring equipment.

[0040] Step 105: Send the calibration cycle for the next calibration to the pickup user terminal.

[0041] The pickup user terminal is determined based on the pickup user information entered in the QR code.

[0042] Step 106: If a confirmation signal for the calibration cycle of the next calibration is received from the user terminal picking up the item, a calibration request for the next calibration of the metering equipment is generated according to the calibration cycle of the next calibration.

[0043] In this embodiment, after receiving the calibration cycle for the next calibration of the metering device, the user can send a confirmation signal through their own terminal to directly confirm the adjustment of the next calibration cycle, automatically triggering the next calibration task. This eliminates the need to submit applications repeatedly, reduces reliance on traditional management platforms, and shortens the response time for calibration tasks.

[0044] For example, if the user replies "Y" in the text message, this embodiment will automatically accept the request and reissue the calibration task.

[0045] By employing the above technical solutions, this application provides a calibration method, apparatus, storage medium, and computer equipment for metrological equipment. By automatically generating calibration tasks and sending them to the calibration equipment, it eliminates the tedious steps of manual information entry and calibration task allocation, reducing human operation time, lowering the error rate, and improving overall calibration efficiency. After calibration, the user information is bound to a QR code to confirm the identity of the person receiving the metrological equipment, thereby pushing the calibration results to the user's terminal via the QR code and avoiding information delays. Furthermore, the actual measurement status of the metrological equipment is continuously monitored, and the calibration cycle for the next calibration is dynamically adjusted based on the on-site measurement data, avoiding over-calibration or under-calibration, saving manpower, time, and costs, and extending the service life of the metrological equipment. This allows for dynamic adjustment of the calibration frequency based on the performance of the metrological equipment in different environments, improving equipment adaptability. Simultaneously, users can directly confirm the calibration cycle adjustment through the terminal, automatically triggering the next calibration task without needing to repeatedly submit applications, reducing reliance on traditional management platforms, and shortening calibration task response time. This application forms a closed loop from initial calibration to recalibration. After the calibration cycle is adjusted, the calibration task can be automatically regenerated, ensuring that the metrological equipment is always in optimal condition and improving the long-term reliability of measurement data.

[0046] Furthermore, as a refinement and extension of the specific implementation of the above embodiments, in order to fully illustrate the specific implementation process of this embodiment, before the step of responding to the calibration request of the current calibration cycle, the method further includes: if a short-range wireless communication tag is detected within a preset short-range wireless communication range, obtaining device information recorded in the short-range wireless communication tag; determining the metering device to be calibrated based on the device information; matching the device information with preset calibration conditions; if the calibration environment data of the metering device meets the target calibration conditions matched by the device information, generating a calibration request based on the device information and the calibration environment data; if the calibration environment data does not meet the target calibration conditions, generating a first warning message based on the calibration environment data; and displaying the first warning message.

[0047] It is worth mentioning that in this embodiment, the surface of the metering device is pre-attached with an NFC (Near Field Communication) tag. The NFC tag serves as the unique identifier for the metering device, and is pre-loaded with device information such as the metering device number, manufacturer, and serial number, providing a basis for the management of the metering device.

[0048] In this embodiment, an external sensing device supporting NFC functionality is pre-installed. When an NFC tag is detected within the sensing device's preset short-range wireless communication range, it indicates that the sensing device and the metering device with the NFC tag are relatively close. The NFC tag can automatically establish a connection with the sensing device based on radio frequency identification technology and begin exchanging data. This allows the sensing device to quickly obtain the metering device's information without complex setup or operation steps, thus improving calibration efficiency.

[0049] Furthermore, based on the equipment information, the metering equipment that needs to be calibrated in the current calibration cycle is determined, and the equipment information is matched with the preset calibration conditions for different types of equipment to obtain the target calibration conditions that match the equipment information.

[0050] It should be noted that if the measuring device to be calibrated is the device being calibrated for the first time, the duration of the current calibration cycle is determined according to the preset calibration procedure.

[0051] Next, the calibration environment data of the calibration environment where the metrology equipment is located is obtained. If the calibration environment data meets the target calibration conditions, it means that the calibration environment meets the calibration requirements corresponding to the metrology equipment, and the calibration equipment can be controlled to calibrate the metrology equipment. Based on the equipment information and calibration environment data, a calibration request for the metrology equipment is generated. If the calibration environment data does not meet the target calibration conditions, it means that the calibration environment does not meet the calibration requirements and cannot calibrate the metrology equipment. Based on the calibration environment data, a first warning message is generated and displayed to prompt relevant personnel to make adjustments, ensure the compliance of the calibration environment, avoid invalid operations, intercept non-compliant operations in advance, and ensure the reliability of calibration data.

[0052] It should be noted that in this embodiment, each calibration device corresponds to a sensing device, and the corresponding sensing device and calibration device are located in the same calibration environment to improve calibration efficiency and ensure calibration effect.

[0053] For a specific example, the calibration device associated with the metrology device to be calibrated and the corresponding sensing device are located in the same laboratory. When the metrology device is placed within the preset short-range wireless communication range of the sensing device in the laboratory, it can wirelessly communicate with the NFC tag attached to the surface of the metrology device to obtain the device information. Next, the sensing device (such as a sensor installed in the laboratory) acquires calibration environment data within the laboratory, such as temperature and humidity data. Then, it finds the target calibration condition matching the metrology device among the preset calibration conditions for different types of equipment and compares the calibration environment data with the target calibration condition to determine whether the current environment meets the calibration requirements of the metrology device. If the current environment meets the calibration requirements, a calibration request is generated, for example, "Calibration environment meets requirements, start calibration of metrology device A." If the current environment does not meet the calibration requirements, a first warning message is generated, for example, "Temperature exceeds limit, calibration prohibited," and this first warning message is displayed through voice broadcast or flashing lights to prevent the calibration task from starting.

[0054] Here, after generating a calibration task based on a calibration request, the conveyor belt can be controlled to transport the measuring device from a preset short-range wireless communication range to the calibration device, thereby enabling the calibration device to automatically perform calibration tasks on the measuring device.

[0055] Furthermore, as a refinement and extension of the specific implementation of the above embodiments, in order to fully illustrate the specific implementation process of this embodiment, generating a QR code based on the calibration result specifically includes: if the calibration result conforms to the preset result, generating a QR code based on the calibration result; if the calibration result does not conform to the preset result, generating a second warning message based on the calibration result, and generating a QR code based on the second warning message.

[0056] In this embodiment, different QR codes are generated based on whether the calibration result is qualified (i.e., the preset result) to ensure the reliability of the calibration.

[0057] For example, if the calibration result is satisfactory, a green QR code is generated based on the calibration result. After the user scans the code and enters their information, the calibration report is displayed. If the calibration result is unsatisfactory, a red QR code is generated. After the user scans the code and enters their information, a second warning message is displayed. This second warning message is generated based on the calibration result, for example, indicating that the sensor drift has exceeded the limit, to prompt the user to repair the measuring equipment and prevent its misuse.

[0058] Furthermore, as a refinement and extension of the specific implementation of the above embodiments, in order to fully illustrate the specific implementation process of this embodiment, the current calibration cycle is adjusted according to the on-site measurement data to determine the calibration cycle for the next calibration of the measuring equipment. Specifically, this includes: determining the measurement bias value of the measuring equipment based on the average value of the on-site measurement data within a preset monitoring period in the current calibration cycle and the traceability calibration value in the calibration results; determining the experimental standard deviation of the on-site measurement data based on the average value; determining the repeatability error rate of the measuring equipment based on the experimental standard deviation and the expanded uncertainty in the calibration results; if the repeatability error rate is greater than a preset threshold, determining the calibration cycle for the next calibration based on a first preset shortening coefficient and the current calibration cycle, and sending a first prompt message to the pickup user terminal, the first prompt message being determined based on the predicted monitoring cycle and the repeatability error rate; if the repeatability error rate is less than or equal to the preset threshold, determining the calibration cycle for the next calibration based on the measurement bias value.

[0059] In this embodiment, on-site measurement data of the measuring equipment within the current calibration cycle are collected periodically. The traceability calibration value is a calibrated standard reference value used to measure the accuracy of the measuring equipment. Expanded uncertainty is the range of uncertainty for the measurement result, used to determine whether the measuring equipment is within its normal operating range. Using both in combination, the performance of the measuring equipment is statistically quantified, ensuring the scientific validity of the calibration cycle adjustments.

[0060] Furthermore, as a refinement and extension of the specific implementation of the above embodiments, in order to fully illustrate the specific implementation process of this embodiment, determining the calibration cycle for the next calibration based on the measurement bias value specifically includes: determining the standard deviation of the average value based on the number of on-site measurement data within a preset monitoring period; determining the target statistic of the measurement bias value based on the standard deviation of the average value; determining the confidence interval of the measurement bias value based on the preset significance level and number corresponding to the target statistic; if the measurement bias value is not within the confidence interval, determining the calibration cycle for the next calibration based on a second preset shortening coefficient and the current calibration cycle, and sending a second prompt message to the pickup user terminal, the second prompt message being determined based on the predicted monitoring period and the measurement bias value; if the measurement bias value is within the confidence interval, determining the calibration cycle for the next calibration based on a preset extension coefficient and the calibration cycle.

[0061] In this embodiment, hypothesis testing is used to ensure the statistical rigor of the bias analysis and improve the reliability of the calibration cycle adjustment.

[0062] Specifically, real-time data from the actual use of the measuring equipment during the current calibration cycle is acquired periodically to obtain on-site measurement data of the measuring equipment within a preset monitoring period of the current calibration cycle, reflecting its performance changes. The sample size of the on-site measurement data must be greater than or equal to 25 to ensure statistical significance for the analysis. Furthermore, the on-site measurement data carries location information to pinpoint the actual location of the measuring equipment in use.

[0063] Next, the average value of the field measurement data is calculated to reflect the central tendency of the data.

[0064] For example, the average value is calculated according to the following formula. :

[0065] =

[0066] in, This is a sample from the on-site measurement data. This represents the number of samples in the field measurement data.

[0067] Then, based on the average value and the traceability calibration value in the calibration results, the measurement bias value of the measuring equipment is calculated. The measurement bias value represents the systematic deviation between the average value of the field measurement and the calibration reference value, and quantifies the overall offset of the measuring equipment.

[0068] For example, the measurement bias value is calculated according to the following formula. B :

[0069] B= -y s

[0070] in, y s This is the calibration value for traceability.

[0071] Here, if B If the value is not equal to 0, it indicates that there is a systematic error in the measuring equipment, which requires further analysis.

[0072] Furthermore, based on the average value, the experimental standard deviation of the field measurement data is calculated, and the repeatability error rate of the measuring equipment is calculated.

[0073] For example, the experimental standard deviation is calculated according to the following formula. s g :

[0074] s g =

[0075] The repeatability error rate (%) is calculated using the following formula. EV :

[0076] % EV = s g / USL ×100%

[0077] Here, the experimental standard deviation reflects the dispersion of the field measurement data, i.e., random error. The repeatability error rate measures the proportion of random error to the maximum permissible uncertainty, reflecting the consistency of measurement results from multiple measurements under the same conditions, and is used to assess the repeatability performance of the measuring equipment.

[0078] Furthermore, if the repeatability error rate exceeds a preset threshold, for example, % EV A return of >10% indicates an abnormality in the repeatability of the measuring equipment, suggesting a significant random error. The equipment requires immediate calibration to prevent production accidents caused by data deviations. Furthermore, the calibration cycle should be shortened, and the calibration frequency increased to prevent error accumulation due to prolonged periods without calibration.

[0079] For example, based on the predicted end time of the monitoring cycle and the repeatability error rate, a first prompt message is generated and sent to the user's terminal to prompt the user to immediately stop using the metering equipment and calibrate it. Furthermore, the current calibration cycle of the metering equipment is shortened according to a first preset shortening factor to obtain the calibration cycle for the next calibration.

[0080] For example, the initial notification message can be pushed to the user's terminal via SMS or an app. The content of the initial notification message could be:

[0081] "

Urgent Calibration Notice

[0082] Device ID: PS-2023-001

[0083] Monitoring period: December 1, 2023 to December 31, 2023

[0084] Repeatability error rate: 12% (threshold: 10%)

[0085] An abnormal device performance has been detected. Please stop using it immediately and perform calibration!

[0086] In this case, the first preset shortening factor can be set to 50%, thereby halving the current calibration cycle of the measuring equipment according to the first preset shortening factor, and using the halved measuring cycle as the next calibration cycle of the measuring equipment. That is, the next calibration cycle of the measuring equipment can be shortened from the original 12 months to 6 months, thereby increasing the monitoring of the measuring equipment.

[0087] Furthermore, if the repeatability error rate is less than or equal to a preset threshold, for example, % EV ≤10% indicates that the repeatability of the measuring equipment is good and acceptable. Continue to calculate the standard deviation of the mean, and based on the standard deviation of the mean, calculate the t-statistic of the measurement bias (i.e., the target statistic). The t-statistic standardizes the measurement bias value and is used to test whether it deviates significantly from zero, that is, whether there is a statistically significant bias.

[0088] For example, the standard deviation of the mean is calculated according to the following formula. σ b

[0089] σ b =

[0090] The t-statistic is calculated using the following formula:

[0091] t=

[0092] Furthermore, the confidence interval for the measurement bias value is determined by the preset significance level corresponding to the target statistic and the number of field measurement data within the preset monitoring period.

[0093] For example, a preset salience level α A value of 0.05 corresponds to a 95% confidence level. Degrees of freedom υ=n- 1. The critical value can be obtained by consulting the t-distribution table or statistical software. t υ,1-α / 2 This allows for the construction of a 95% confidence interval for the measured offset value. B-σ b · t υ,1-α / 2 B+σ b ·t υ,1-α / 2 The confidence interval represents the possible range of the true bias value at a 95% confidence level. If the confidence interval includes zero, the bias is not significant.

[0094] Furthermore, if the calculated measurement offset value meets the confidence interval, it indicates that the offset of the measuring equipment is significant and immediate calibration is required to avoid accidents. Additionally, the calibration cycle of the measuring equipment should be shortened, and the calibration frequency should be increased to prevent error accumulation due to prolonged lack of calibration.

[0095] For example, based on the predicted end time of the monitoring cycle and the measurement offset value, a second prompt message is generated and sent to the user's terminal to prompt the user to immediately stop using the metering equipment and calibrate it. Furthermore, the current calibration cycle of the metering equipment is shortened according to a second preset shortening factor to obtain the calibration cycle for the next calibration.

[0096] For example, the second notification message can be pushed to the user's terminal via SMS or an app. The content of the second notification message could be:

[0097] "

Urgent Calibration Notice

[0098] Device ID: PS-2023-001

[0099] Monitoring period: December 1, 2023 to December 31, 2023

[0100] Measurement offset: 2.064 (confidence interval: 0.0093, 0.1093)

[0101] An abnormal device performance has been detected. Please stop using it immediately and perform calibration!

[0102] In this case, the second preset shortening factor can be set to 60%, thereby shortening the current calibration cycle of the measuring equipment according to the second preset shortening factor, and obtaining the next calibration cycle of the measuring equipment. That is, the next calibration cycle of the measuring equipment can be shortened from the original 12 months to 7.2 months, thereby increasing the monitoring of the measuring equipment.

[0103] Furthermore, if the measurement bias value is within the confidence interval, it indicates that the measuring equipment is performing well and stably. The calibration cycle can be appropriately extended according to the preset extension factor to obtain the calibration cycle for the next calibration, thus avoiding over-calibration that wastes manpower and resources and saving resources.

[0104] For example, the preset extension factor can be set to 5%.

[0105] It is worth mentioning that if the metering equipment malfunctions within the preset monitoring period, this embodiment will determine the specific calibration time for the next calibration based on the end time of the preset monitoring period in which the malfunction occurred and the calibration period for the next calibration. The specific calibration time for the next calibration will be included in the calibration period for the next calibration, so that the user picking up the item will know the specific calibration arrangements when receiving the calibration period for the next calibration, and can make reasonable time arrangements.

[0106] For example, the calibration cycle for the next calibration can be integrated into a single notification message and pushed to the user's terminal via SMS or mobile app. For instance,

[0107] "

Calibration Cycle Adjustment Notice

[0108] Device ID: PS-2023-005

[0109] Monitoring period: November 1, 2023 to November 30, 2023

[0110] Test results: Equipment malfunction! or equipment performance is excellent!

[0111] The next calibration cycle has been shortened from 12 months to 6 months. Or the next calibration cycle has been extended from 6 months to 12 months.

[0112] Next calibration date: 2024-05-30

[0113] Please arrange for the equipment to be sent for inspection in advance to avoid affecting production.

[0114] Furthermore, as a refinement and extension of the specific implementation of the above embodiments, in order to fully illustrate the specific implementation process of this embodiment, a calibration request for the next calibration of the metering device is generated according to the calibration cycle of the next calibration. Specifically, this includes: determining a reminder time based on the calibration time in the calibration cycle of the next calibration, and generating a reminder message; if the current time is the reminder time, sending the reminder message to the pickup user terminal; if the current time is the calibration time, and a short-range wireless communication tag corresponding to the metering device is detected within a preset short-range wireless communication range, generating a calibration request for the next calibration of the metering device; if the current time is the calibration time, and no short-range wireless communication tag corresponding to the metering device is detected within the preset short-range wireless communication range, generating a third prompt message, and sending the third prompt message to the pickup user terminal.

[0115] In this embodiment, when a confirmation signal is received from the user terminal, it indicates that the user agrees to the arrangement of the calibration cycle for the next calibration. Therefore, a calibration request for the next calibration of the metering equipment is generated according to the calibration cycle for the next calibration.

[0116] Specifically, the reminder time is determined based on the calibration time in the next calibration cycle, and a reminder message is generated.

[0117] For example, a reminder can be sent a few days in advance, and the reminder message can be:

[0118]

Calibration Reminder

[0119] Device ID: TS-2023-008

[0120] Calibration date: 2024-01-31

[0121] Please prepare the equipment for testing in advance to ensure the calibration task is completed on time!

[0122] Furthermore, if the current time is the reminder time, a reminder message is sent to the user's terminal for package pickup. If the current time is the calibration time, and a short-range wireless communication tag corresponding to the metering device is detected within the preset short-range wireless communication range, it indicates that the metering device has been placed at the designated calibration location on time. Therefore, a calibration request for the next calibration of the metering device is generated. It should be noted that generating the calibration request for the next calibration of the metering device also requires determining the calibration environment data of the calibration environment, which is the same as the process for generating the calibration request described above, and will not be repeated in this embodiment.

[0123] If the current time is the calibration time, and no short-range wireless communication tag corresponding to the metering device is detected within the preset short-range wireless communication range, it indicates that the metering device has not been placed in the designated calibration location and may still be in use on the production line, which could easily cause an accident. In this case, a third prompt message is generated and sent to the user terminal for pickup.

[0124] For example, the third prompt message could be:

[0125] "[Calibration task error]"

[0126] Device ID: TS-2023-008

[0127] Calibration date: 2024-01-31

[0128] "No device detected. Please send it for inspection immediately!"

[0129] In this embodiment, the entire process from user confirmation to task generation, reminders, and execution is automated, reducing manual intervention. Users are reminded in advance to prepare and avoid forgetting, and the equipment status is monitored in real time on the calibration day to ensure task execution. An alarm is immediately triggered if the equipment is not in place to prevent production interruptions or data loss due to delays.

[0130] Furthermore, as a refinement and extension of the specific implementation of the above embodiments, in order to fully illustrate the specific implementation process of this embodiment, the metrology equipment calibration method further includes: receiving a query request; matching the equipment location information carried by the on-site measurement data of the metrology equipment with the query range in the query request; identifying the metrology equipment whose equipment location information matches the query range as the target equipment; comparing the time of receiving the query request with the current calibration cycle of the target equipment to generate calibration status information of the target equipment; and sending the calibration status information of the target equipment to the query user terminal corresponding to the query request.

[0131] In this embodiment, a user sends a query request to inquire about the calibration status of a metrology device. Upon receiving the query request, the system filters out target devices within the specified query range. Based on the time of the query request and the latest effective calibration cycle of the target device, the system determines the calibration status information of the target device (e.g., normal, about to expire, expired). The system then sends the calibration status information of the matching target device to the terminal corresponding to the query request.

[0132] For example, when a user is inspecting a certain area, they can open a mobile app and send a query request. In this embodiment, the calibration status information of the metering equipment currently in use in that area can be quickly retrieved based on the query request. If one of the metering devices shows that its calibration status is about to expire, the user can mark the device for future monitoring.

[0133] It is worth mentioning that the executing entity of this application can be a server. The server can be configured as an independent physical server, or as a server cluster or distributed system composed of multiple physical servers. It can also be configured as a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communication, middleware services, domain name services, security services, CDN, and big data and artificial intelligence platforms.

[0134] It should be noted that the sequence number of each step in the above embodiments does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this application.

[0135] Furthermore, such as Figure 2 As shown, as a specific implementation of the above-mentioned metrology equipment calibration method, this application embodiment provides a metrology equipment calibration device 200, which includes a calibration module 201 and an adjustment module 202.

[0136] The calibration module 201 is used to perform calibration tasks on the metering equipment to be calibrated in response to the calibration request of the current calibration cycle, and obtain calibration data of the metering equipment; and to generate calibration results of the metering equipment based on the calibration data, and generate a QR code based on the calibration results; and to obtain the pickup user information of the pickup user terminal that triggered the scanning operation in response to the QR code scanning operation.

[0137] The adjustment module 202 is used to read the on-site measurement data of the metering equipment during its use, adjust the current calibration cycle according to the on-site measurement data, determine the calibration cycle for the next calibration of the metering equipment, and send the calibration cycle for the next calibration to the pickup user terminal; and if a confirmation signal for the calibration cycle for the next calibration is received from the pickup user terminal, generate a calibration request for the next calibration of the metering equipment according to the calibration cycle for the next calibration.

[0138] In one embodiment, the adjustment module 202 is specifically used to determine the measurement bias value of the measuring equipment based on the average value of the on-site measurement data within a preset monitoring period in the current calibration cycle and the traceability calibration value in the calibration result; determine the experimental standard deviation of the on-site measurement data based on the average value; determine the repeatability error rate of the measuring equipment based on the experimental standard deviation and the expanded uncertainty in the calibration result; if the repeatability error rate is greater than a preset threshold, determine the calibration cycle for the next calibration based on a first preset shortening coefficient and the current calibration cycle, and send a first prompt message to the pickup user terminal, the first prompt message being determined based on the predicted monitoring cycle and the repeatability error rate; if the repeatability error rate is less than or equal to the preset threshold, determine the calibration cycle for the next calibration based on the measurement bias value.

[0139] In one embodiment, the adjustment module 202 is specifically used to determine the standard deviation of the mean based on the number of on-site measurement data within a preset monitoring period; determine the target statistic of the measurement bias value based on the standard deviation of the mean; determine the confidence interval of the measurement bias value based on the preset significance level and number corresponding to the target statistic; if the measurement bias value is not within the confidence interval, determine the calibration period for the next calibration based on the second preset shortening coefficient and the current calibration period, and send a second prompt message to the pickup user terminal, the second prompt message being determined based on the predicted monitoring period and the measurement bias value; if the measurement bias value is within the confidence interval, determine the calibration period for the next calibration based on the preset extension coefficient and the current calibration period.

[0140] In one embodiment, the metrology equipment calibration device 200 further includes:

[0141] The query module is used to receive query requests; match the equipment location information carried by the on-site measurement data of the metering equipment with the query range in the query request; identify the metering equipment whose equipment location information matches the query range as the target equipment; compare the time of receiving the query request with the current calibration cycle of the target equipment to generate the calibration status information of the target equipment; and send the calibration status information of the target equipment to the query user terminal corresponding to the query request.

[0142] The generation module is used to: if a short-range wireless communication tag is detected within a preset short-range wireless communication range, obtain the device information recorded in the short-range wireless communication tag; determine the metering device to be calibrated based on the device information; match the device information with preset calibration conditions; if the calibration environment data of the metering device meets the target calibration conditions matched by the device information, generate a calibration request based on the device information and the calibration environment data; if the calibration environment data does not meet the target calibration conditions, generate a first warning message based on the calibration environment data; and display the first warning message.

[0143] The calibration module 201 is specifically used to generate a QR code based on the calibration result if the calibration result meets the preset result, so that the pickup user terminal can enter the pickup user information by scanning the QR code; if the calibration result does not meet the preset result, generate a second warning message based on the calibration result, and generate a QR code based on the second warning message.

[0144] The adjustment module 202 is specifically used to determine the reminder time based on the calibration time in the calibration cycle of the next calibration, and generate a reminder message; if the current time is the reminder time, the reminder message is sent to the pickup user terminal; if the current time is the calibration time, and the short-range wireless communication tag corresponding to the metering device is detected within the preset short-range wireless communication range, a calibration request for the next calibration of the metering device is generated; if the current time is the calibration time, and the short-range wireless communication tag corresponding to the metering device is not detected within the preset short-range wireless communication range, a third prompt message is generated and sent to the pickup user terminal.

[0145] Specific limitations regarding the calibration device for metrological equipment can be found in the limitations on the calibration method for metrological equipment mentioned above, and will not be repeated here. Each module in the aforementioned calibration device for metrological equipment can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in hardware or independently of the processor in a computer device, or stored in software in the memory of a computer device, so that the processor can call and execute the operations corresponding to each module.

[0146] Based on the above, Figure 1 Accordingly, embodiments of this application also provide a readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the above-described method. Figure 1 The calibration method for the measuring equipment is shown.

[0147] Based on this understanding, the technical solution of this application can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (such as CD-ROM, USB flash drive, mobile hard drive, etc.) and includes several instructions to cause a computer device (such as a personal computer or network device, etc.) to execute the methods of various implementation scenarios of this application.

[0148] Based on the above, Figure 1 The method of presentation, and Figure 2 To achieve the above objectives, the present application also provides a computer device, specifically a personal computer, network device, etc., as shown in the virtual device embodiment. This computer device includes a storage medium and a processor; the storage medium stores a computer program; the processor executes the computer program to achieve the above-described objectives. Figure 1 The calibration method for the measuring equipment is shown.

[0149] Optionally, the computer device may also include a user interface, a network interface, a camera, radio frequency (RF) circuitry, sensors, audio circuitry, a Wi-Fi module, etc. The user interface may include a display screen, input units such as a keyboard, etc., and optional user interfaces may also include USB ports, card reader ports, etc. The network interface may optionally include standard wired interfaces, wireless interfaces (such as Bluetooth interfaces, Wi-Fi interfaces), etc.

[0150] Those skilled in the art will understand that the computer device structure provided in this embodiment does not constitute a limitation on the computer device, and may include more or fewer components, or combine certain components, or have different component arrangements.

[0151] The storage medium may also include an operating system and a network communication module. The operating system is a program that manages and stores the hardware and software resources of a computer device, supporting the operation of information processing programs and other software and / or programs. The network communication module is used to enable communication between the various components within the storage medium, as well as communication with other hardware and software within the physical device.

[0152] Through the above description of the embodiments, those skilled in the art can clearly understand that this application can be implemented by means of software plus necessary general-purpose hardware platform, or the embodiments of this application can be implemented by hardware.

[0153] Those skilled in the art will understand that the accompanying drawings are merely schematic diagrams of a preferred embodiment, and the modules or processes shown in the drawings are not necessarily essential for implementing this application. Those skilled in the art will understand that the modules in the apparatus of the embodiment can be distributed within the apparatus of the embodiment as described, or can be modified to be located in one or more apparatuses different from this embodiment. The modules of the above-described embodiment can be combined into one module, or further divided into multiple sub-modules.

[0154] The serial numbers in this application are for descriptive purposes only and do not represent the superiority or inferiority of any particular implementation scenario. The above disclosures are merely a few specific implementation scenarios of this application; however, this application is not limited thereto, and any variations conceived by those skilled in the art should fall within the protection scope of this application.

Claims

1. A method of calibrating a metrology apparatus, characterized by, The method includes: In response to the calibration request of the current calibration cycle, the calibration task is performed on the measuring device to be calibrated, and the calibration data of the measuring device is obtained; The calibration results of the metering device are generated based on the calibration data, and a QR code is generated based on the calibration results; In response to the scanning operation of the QR code, the pickup user information of the pickup user terminal that triggered the scanning operation is obtained; During the use of the metering equipment, the on-site measurement data of the metering equipment is read, and the current calibration cycle is adjusted according to the on-site measurement data to determine the calibration cycle for the next calibration of the metering equipment; The calibration cycle for the next calibration will be sent to the pickup user terminal; If a confirmation signal for the calibration cycle of the next calibration is received from the user terminal picking up the item, a calibration request for the next calibration of the metering device is generated according to the calibration cycle of the next calibration. The step of adjusting the current calibration cycle based on the on-site measurement data to determine the calibration cycle for the next calibration of the measuring equipment specifically includes: The difference between the average value of the field measurement data of the metering device within the preset monitoring period in the current calibration cycle and the traceability calibration value in the calibration result is calculated as the measurement bias value of the metering device. Based on the average value, determine the experimental standard deviation of the field measurement data; The repeatability error rate of the measuring equipment is determined by the quotient of the experimental standard deviation and the expanded uncertainty in the calibration result, wherein the expanded uncertainty is used to quantify the reliability of the measurement results of the measuring equipment. If the repeatability error rate is greater than a preset threshold, the calibration cycle for the next calibration is determined based on the first preset shortening coefficient and the current calibration cycle, and a first prompt message is sent to the pickup user terminal. The first prompt message is determined based on the preset monitoring cycle and the repeatability error rate. If the repeatability error rate is less than or equal to the preset threshold, the calibration cycle for the next calibration is determined based on the measurement bias value. The step of determining the calibration cycle for the next calibration based on the measurement bias value specifically includes: The standard deviation of the average value is determined based on the number of on-site measurement data within the preset monitoring period; The quotient of the standard deviation of the measurement bias value and the mean value is calculated as the target statistic of the measurement bias value, which is used to test whether the measurement bias value deviates from zero. Based on the preset level corresponding to the target statistic and the quantity, determine the confidence interval of the measurement bias value; If the measurement bias value is not within the confidence interval, the calibration cycle for the next calibration is determined based on the second preset shortening coefficient and the current calibration cycle, and a second prompt message is sent to the pickup user terminal. The second prompt message is determined based on the preset monitoring cycle and the measurement bias value. If the measurement bias value is within the confidence interval, the calibration period for the next calibration is determined based on the preset extension coefficient and the current calibration period.

2. The method of calibrating a metrology apparatus of claim 1, wherein, The method further includes: Receive query requests; The device location information carried by the on-site measurement data of the metering device is matched with the query range in the query request; The metering device whose location information matches the query range is identified as the target device; By comparing the time when the query request is received with the current calibration cycle of the target device, calibration status information of the target device is generated. The calibration status information of the target device is sent to the query user terminal corresponding to the query request.

3. The calibration method for measuring equipment according to claim 1, characterized in that, Prior to the step of responding to a calibration request in the current calibration cycle, the method further includes: If a short-range wireless communication tag is detected within a preset short-range wireless communication range, the device information recorded in the short-range wireless communication tag is obtained; Based on the device information, the measuring device to be calibrated is determined; The device information is matched with preset calibration conditions; If the calibration environment data of the metrology equipment meets the target calibration conditions matched by the equipment information, the calibration request is generated based on the equipment information and the calibration environment data. If the calibration environment data does not meet the target calibration conditions, a first warning message is generated based on the calibration environment data. Display the first warning message.

4. The method of calibrating a metrology apparatus of claim 1, wherein, The step of generating a QR code based on the calibration result specifically includes: If the calibration result matches the preset result, the QR code is generated based on the calibration result; If the calibration result does not conform to the preset result, a second warning message is generated based on the calibration result, and the QR code is generated based on the second warning message.

5. The method of calibrating a metrology apparatus of claim 1, wherein, The step of generating a calibration request for the next calibration of the measuring equipment based on the calibration cycle of the next calibration specifically includes: Based on the calibration time in the next calibration cycle, determine the reminder time and generate a reminder message; If the current time is the reminder time, the reminder information will be sent to the user's terminal for picking up the package; If the current time is the calibration time, and a short-range wireless communication tag corresponding to the metering device is detected within the preset short-range wireless communication range, a calibration request for the next calibration of the metering device is generated. If the current time is the calibration time, and no short-range wireless communication tag corresponding to the metering device is detected within the preset short-range wireless communication range, a third prompt message is generated and sent to the pickup user terminal.

6. A metrology apparatus calibration device, characterized by, The device includes: A calibration module, configured to, in response to a calibration request for the current calibration cycle, perform a calibration task on the measuring device to be calibrated, and obtain calibration data for the measuring device; and, The calibration results of the metering device are generated based on the calibration data, and a QR code is generated based on the calibration results; and, In response to the scanning operation of the QR code, the pickup user information of the pickup user terminal that triggered the scanning operation is obtained; An adjustment module is configured to read on-site measurement data of the metering equipment during its use, adjust the current calibration cycle based on the on-site measurement data, and determine the calibration cycle for the next calibration of the metering equipment; and, The calibration cycle for the next calibration will be sent to the pickup user terminal; and, If a confirmation signal for the calibration cycle of the next calibration is received from the user terminal picking up the item, a calibration request for the next calibration of the metering device is generated according to the calibration cycle of the next calibration. The step of adjusting the current calibration cycle based on the on-site measurement data to determine the calibration cycle for the next calibration of the measuring equipment specifically includes: The difference between the average value of the field measurement data of the metering device within the preset monitoring period in the current calibration cycle and the traceability calibration value in the calibration result is calculated as the measurement bias value of the metering device. Based on the average value, determine the experimental standard deviation of the field measurement data; The repeatability error rate of the measuring equipment is determined by the quotient of the experimental standard deviation and the expanded uncertainty in the calibration result, wherein the expanded uncertainty is used to quantify the reliability of the measurement results of the measuring equipment. If the repeatability error rate is greater than a preset threshold, the calibration cycle for the next calibration is determined based on the first preset shortening coefficient and the current calibration cycle, and a first prompt message is sent to the pickup user terminal. The first prompt message is determined based on the preset monitoring cycle and the repeatability error rate. If the repeatability error rate is less than or equal to the preset threshold, the calibration cycle for the next calibration is determined based on the measurement bias value. The step of determining the calibration cycle for the next calibration based on the measurement bias value specifically includes: The standard deviation of the average value is determined based on the number of on-site measurement data within the preset monitoring period; The quotient of the standard deviation of the measurement bias value and the mean value is calculated as the target statistic of the measurement bias value, which is used to test whether the measurement bias value deviates from zero. Based on the preset level corresponding to the target statistic and the quantity, determine the confidence interval of the measurement bias value; If the measurement bias value is not within the confidence interval, the calibration cycle for the next calibration is determined based on the second preset shortening coefficient and the current calibration cycle, and a second prompt message is sent to the pickup user terminal. The second prompt message is determined based on the preset monitoring cycle and the measurement bias value. If the measurement bias value is within the confidence interval, the calibration period for the next calibration is determined based on the preset extension coefficient and the current calibration period.

7. A readable storage medium having a program or instructions stored thereon, characterized in that, When the program or instructions are executed by the processor, they implement the steps of the metrology equipment calibration method as described in any one of claims 1 to 5.

8. A computer device, comprising a storage medium, a processor, and a computer program stored on the storage medium and executable on the processor, characterized in that, When the processor executes the program, it implements the metrology equipment calibration method as described in any one of claims 1 to 5.

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