A method and system for calibration control and analysis of instruments

Abstract

The application discloses an instrument calibration control and analysis method and system, which comprises the following steps: establishing a communication relationship with a calibration device of an instrument, remotely controlling the calibration device to perform initialization setting, controlling the instrument to automatically calibrate according to corresponding verification regulations or calibration specifications through the calibration device, and displaying the setting of the calibration device and the calibration result of the instrument in real time; saving the data collected during calibration and generating a calibration certificate of the collected data, and determining whether the calibration result exceeds the performance index threshold of the instrument, and displaying the result on the calibration certificate.

Description

Technical Field

[0001] This invention belongs to the field of instrument calibration technology on ships, and more specifically, relates to an instrument calibration control and analysis method and system. Background Technology

[0002] Instrument calibration is a crucial process for ensuring the accuracy and reliability of measuring equipment. Firstly, technological advancements have led to the widespread use of automated and digital calibration equipment, improving both efficiency and accuracy. Secondly, increasingly stringent industry standards and regulations have driven the standardization of calibration procedures. Furthermore, enhanced data management and traceability capabilities have made calibration records more reliable.

[0003] The calibration process includes: Preparation phase: Selecting appropriate standard instruments and calibration environment, ensuring environmental conditions meet requirements. Implementation phase: Conducting actual measurements, recording instrument readings, and comparing them with standard values. Result analysis: Evaluating measurement results to determine if instrument adjustment or repair is necessary. Recording and reporting: Generating a calibration report, recording calibration results and any problems found.

[0004] However, since ships sail at sea, it is difficult to control the accuracy of the calibration of instruments and meters on board. Therefore, there is an urgent need for a technical solution that can improve the calibration accuracy of instruments and meters on board ships. Summary of the Invention

[0005] To address the above technical problems, this invention proposes an instrument calibration control and analysis method, comprising:

[0006] Establish a communication relationship with the calibration device of the instrument, remotely control the calibration device to perform initialization settings, control the instrument to automatically calibrate according to the corresponding verification procedure or calibration specification through the calibration device, and display the setting status of the calibration device and the calibration results of the instrument in real time.

[0007] The data collected during calibration is saved and a calibration certificate for the collected data is generated. It is also determined whether the calibration result exceeds the performance index threshold of the instrument and displayed on the calibration certificate.

[0008] Furthermore, it also includes configuring and managing instrument and meter information, and establishing a dynamic archive of instruments and meters.

[0009] Furthermore, it also includes: electronically reviewing and approving the calibration certificate by setting user permissions.

[0010] Furthermore, it also includes: real-time display of calibration data for the same model of instrument or historical calibration data for the same instrument.

[0011] Furthermore, it also includes: setting a task list for calibrating instruments, calibrating the instruments according to the task list, storing the calibration results in the task list, and allowing users to set filtering conditions to output a filtered task completion list and automatically calculate the task execution status.

[0012] This invention also proposes an instrument calibration control and analysis system, comprising:

[0013] The calibration module is used to establish a communication relationship with the calibration device of the instrument, remotely control the calibration device to perform initialization settings, control the instrument to automatically calibrate according to the corresponding verification procedure or calibration specification through the calibration device, and display the setting status of the calibration device and the calibration results of the instrument in real time.

[0014] The calibration certificate generation module is used to save the data collected during calibration, generate a calibration certificate for the collected data, determine whether the calibration result exceeds the performance index threshold of the instrument, and display it on the calibration certificate.

[0015] Furthermore, it also includes configuring and managing instrument and meter information, and establishing a dynamic archive of instruments and meters.

[0016] Furthermore, it also includes: electronically reviewing and approving the calibration certificate by setting user permissions.

[0017] Furthermore, it also includes: real-time display of calibration data for the same model of instrument or historical calibration data for the same instrument.

[0018] Furthermore, it also includes: setting a task list for calibrating instruments, calibrating the instruments according to the task list, storing the calibration results in the task list, and allowing users to set filtering conditions to output a filtered task completion list and automatically calculate the task execution status.

[0019] In summary, the technical solutions conceived by this invention have the following beneficial effects compared with the prior art:

[0020] The technical solution of this invention enables a comprehensive and digital on-site calibration and evaluation system that integrates a unified platform, unified process, unified evaluation, and unified management. This system provides a unified entry point for multi-disciplinary instrument field calibration, a unified exit point for calibration data, a unified information analysis platform, and unified management of calibration tasks. It achieves both data uniformity and relative independence, enabling centralized management and analysis of all data. This invention allows for the one-stop completion of instrument calibration, metrological verification, reliability assessment, label printing, and task result analysis. Attached Figure Description

[0021] Figure 1 This is a flowchart of the method of Embodiment 1 of the present invention;

[0022] Figure 2 This is a structural diagram of the system of Embodiment 2 of the present invention;

[0023] Figure 3 This is a system workflow diagram exemplified in Embodiment 2 of the present invention;

[0024] Figure 4 This is a system structure diagram exemplified in Embodiment 2 of the present invention;

[0025] Figure 5 This is a screenshot of the system homepage as exemplified in Embodiment 2 of the present invention;

[0026] Figure 6 This is a data statistics diagram illustrating an example from Embodiment 2 of the present invention;

[0027] Figure 7 and Figure 8 This is a screenshot of the data statistics page in Example 2 of the present invention;

[0028] Figure 9 This is a schematic diagram of device statistics as exemplified in Embodiment 2 of the present invention;

[0029] Figure 10 This is a schematic diagram of fault statistics as exemplified in Embodiment 2 of the present invention. Detailed Implementation

[0030] To better understand the above technical solutions, the following will provide a detailed explanation of the technical solutions in conjunction with the accompanying drawings and specific implementation methods.

[0031] The method provided by this invention can be implemented in a terminal environment that may include one or more of the following components: a processor, a storage medium, and a display screen. The storage medium stores at least one instruction, which is loaded and executed by the processor to implement the method described in the following embodiments.

[0032] A processor may include one or more processing cores. The processor uses various interfaces and lines to connect various parts of the terminal, and performs various functions and processes data by running or executing instructions, programs, code sets or instruction sets stored in the storage medium, and by calling data stored in the storage medium.

[0033] Storage media can include random access memory (RAM) or read-only memory (ROM). Storage media can be used to store instructions, programs, code, code sets, or instructions.

[0034] The display screen is used to show the user interface of each application.

[0035] In addition, those skilled in the art will understand that the structure of the terminal described above does not constitute a limitation on the terminal. The terminal may include more or fewer components, or combine certain components, or have different component arrangements. For example, the terminal may also include radio frequency circuits, input units, sensors, audio circuits, power supplies, and other components, which will not be described in detail here.

[0036] Example 1

[0037] like Figure 1 As shown, this embodiment of the invention provides an instrument calibration control and analysis method, including:

[0038] Step 101: Establish a communication relationship with the calibration device of the instrument, remotely control the calibration device to perform initialization settings, control the instrument to automatically calibrate according to the corresponding verification procedure or calibration specification through the calibration device, and display the setting status of the calibration device and the calibration results of the instrument in real time.

[0039] Step 102: Save the data collected during calibration and generate a calibration certificate for the collected data, and determine whether the calibration result exceeds the performance index threshold of the instrument and display it on the calibration certificate.

[0040] Specifically, this also includes configuring and managing instrument and meter information, and establishing a dynamic archive of instruments and meters.

[0041] Specifically, this also includes: electronically reviewing and approving the calibration certificate by setting user permissions.

[0042] Specifically, this also includes: real-time display of calibration data for the same model of instrument or historical calibration data for the same instrument.

[0043] Specifically, it also includes: setting a task list for calibrating instruments, calibrating the instruments according to the task list, storing the calibration results in the task list, and allowing users to set filtering conditions to output a filtered task completion list and automatically calculate the task execution status.

[0044] Example 2

[0045] like Figure 2 As shown, this embodiment of the invention also provides an instrument calibration control and analysis system, comprising:

[0046] The calibration module is used to establish a communication relationship with the calibration device of the instrument, remotely control the calibration device to perform initialization settings, control the instrument to automatically calibrate according to the corresponding verification procedure or calibration specification through the calibration device, and display the setting status of the calibration device and the calibration results of the instrument in real time.

[0047] The calibration certificate generation module is used to save the data collected during calibration, generate a calibration certificate for the collected data, determine whether the calibration result exceeds the performance index threshold of the instrument, and display it on the calibration certificate.

[0048] Specifically, this also includes configuring and managing instrument and meter information, and establishing a dynamic archive of instruments and meters.

[0049] Specifically, this also includes: electronically reviewing and approving the calibration certificate by setting user permissions.

[0050] Specifically, this also includes: real-time display of calibration data for the same model of instrument or historical calibration data for the same instrument.

[0051] Specifically, it also includes: setting a task list for calibrating instruments, calibrating the instruments according to the task list, storing the calibration results in the task list, and allowing users to set filtering conditions to output a filtered task completion list and automatically calculate the task execution status.

[0052] To make this embodiment clearer, the following example is used to explain and supplement the system. The system flow is as follows: Figure 3 As shown,

[0053] This system has the following functions:

[0054] 1. It has information configuration functions, enabling the configuration and management of instrument information through external files or manually in the system, and establishing a dynamic archive of instruments;

[0055] 2. It has communication and real-time display functions, and can communicate in real time with the newly developed pressure, temperature, electrical, ionizing radiation, and other instrument field calibration devices. It can remotely control the initialization settings and start-up of the field calibration device, realize the automatic calibration of instruments according to the corresponding verification procedures or calibration specifications, and display the settings and calibration results in real time.

[0056] 3. It has an automatic certificate generation function, which can automatically save the original data of the calibration data in a unified format and generate a calibration certificate;

[0057] 4. It has on-site metrological verification function, can display calibration data in real time, synchronously determine whether the calibration results exceed the performance index threshold of the instrument, perform on-site metrological verification, and provide the reliability assessment results of the instrument in real time;

[0058] 5. It has analytical and diagnostic functions, and uses big data models to display real-time calibration data of the same model of instrument or the same historical calibration data of instrument, give the consistency or reliability trend of instrument, and give the preliminary evaluation results of instrument use;

[0059] Specifically, the big data model includes:

[0060]

[0061] Where f(x(τ), Θ(τ), P(τ), Rτ)) is a multidimensional nonlinear mapping function of calibration data x(τ) at time τ, environmental parameter Θ(τ) at time τ, physical performance index P(τ) at time τ, and external interference factor R(τ) at time τ, m is the number of calibration data, and a j b is the weight of the j-th calibration data. j c is the first adjustment factor for the j-th calibration data. j The second adjustment factor for the j-th calibration data, n is the number of environmental parameters, and d k Let e′ be the weight of the k-th environmental parameter. k Let Θ(τ) be the adjustment factor for the k-th environmental parameter. k Let g be the k-th environmental parameter at time τ, p be the number of physical performance indicators, and g be the value of g. l Let h be the weight of the l-th physical performance index, h be the adjustment factor for the physical performance index, and r be the number of external interference factors. q Let be the weight of the q-th external disturbance factor, p′ be the adjustment factor for the external disturbance factor, and α be the weight of the q-th external disturbance factor. lk The interaction factor between the l-th physical performance index and the k-th environmental parameter is denoted as .

[0062] Θ: Environmental parameter dataset (e.g., temperature T) env Ambient humidity H env air pressure P env Vibration V env .

[0063] P: Physical performance index dataset (such as sensitivity S, stability St, accuracy Acc, linearity L).

[0064] R: Data set of external interference factors (such as electromagnetic interference (EMI), mechanical noise (N), temperature fluctuation (T) fluct Humidity fluctuations H fluct .

[0065] Set the consistency scoring function for instruments and meters as follows:

[0066]

[0067] Where C(τ) is the consistency score of the instrument at time τ, w is the dynamic weighting coefficient, β is the adjustment factor for the consistency score, and H env For ambient humidity, T fluct This is due to temperature fluctuations.

[0068] The dynamic weighting coefficient w is as follows:

[0069]

[0070] Where λ is the first adjustment factor of the dynamic weighting coefficient, t is the latest time of the calibration instrument, γ is the second adjustment factor of the dynamic weighting coefficient, and Θ is the third adjustment factor. avg σ represents the average value of the environmental parameters, and σ is the third adjustment factor for the dynamic weighting coefficient.

[0071] Configure the dynamic anomaly detection function for the instrument as follows:

[0072]

[0073] Where D(τ) is the dynamic anomaly detection value of the instrument at time τ, η is the ideal value of the performance index, α′ is the first adjustment factor of the dynamic anomaly detection value, and β′ is the second adjustment factor of the dynamic anomaly detection value.

[0074] Set the final consistency scoring function for the instruments as follows:

[0075] E(τ)=C(τ)-θ·D(τ)

[0076] Where E(τ) is the final consistency score of the instrument at time τ, and θ is the weight of the dynamic anomaly detection value.

[0077] The final consistency score E of the instruments is displayed to the user according to the time frame, so that the user can view the consistency trend.

[0078] 6. It has task statistics and monitoring functions, supports the import of external tasks, and automatically matches them with the instrument information configured in the system. If the information matches successfully, the corresponding instrument can be directly calibrated on-site through the task list, and the calibration results will be fed back into the task list. The task completion status can be monitored in real time. It also has the ability to output the task completion list according to the specified format and filtering conditions, and automatically count the task execution status.

[0079] 7. It has document management functions, which can manage the verification procedures or calibration specifications or on-site calibration operation instructions required, and guide the calibrators to perform on-site calibration in accordance with the prescribed procedures.

[0080] 8. It has a work memo function, which can record problems found during on-site calibration and the solutions in a timely manner, keeping them synchronized with the original records and serving as a source of information for subsequent analysis or improvement.

[0081] 9. It has an electronic workflow approval function, which can perform electronic workflow approval of calibration certificates through permission settings to form standardized and complete on-site calibration certificates.

[0082] 10. It has a printing function and can print calibration certificates and metrology labels based on on-site calibration results.

[0083] Functional module descriptions, such as Figure 4 and 5 As shown:

[0084] This system is divided into five functional modules: data statistics, security and maintenance, basic data, task execution, and system permissions. It uses calibration data to conduct reliability and availability assessments, and makes periodic adjustments for dynamic maintenance based on the assessments.

[0085] Data Statistics - Section Description:

[0086] Data statistics menu: Task statistics, Equipment statistics, Fault statistics, Annual statistics.

[0087] Task statistics, such as Figure 6-8 As shown:

[0088] User Role: System Administrator

[0089] Functional Requirements: Data display charts: task type, total number of tasks, submitted, unsubmitted, returned, completed, with percentage comparisons. Date: day, week, month, year, and custom time selection for viewing. Users can individually select any type of task at any time point to view (e.g., stress-related, unsubmitted, within this week).

[0090] Equipment statistics, such as Figure 9 As shown:

[0091] User Role: System Administrator

[0092] Functional requirements: Data display chart: total number, type, model, specifications, and any type can be selected for individual viewing.

[0093] Fault statistics, such as Figure 10 As shown:

[0094] User Role: System Administrator

[0095] Functional requirements: The data chart should display the total number, type, and model of faults, with optional individual type quantities and fault percentages.

[0096] Annual statistics:

[0097] User Role: System Administrator

[0098] Functional Requirements: Display task types, total number of tasks, submitted, unsubmitted, returned, and completed data. View data for the entire year. Show the completion rate and failure rate for the whole year.

[0099] Example 3

[0100] This invention also proposes a storage medium storing multiple instructions for implementing the instrument calibration control and analysis method described above.

[0101] Optionally, in this embodiment, the storage medium may be located in any computer terminal in a group of computer terminals in a computer network, or in any mobile terminal in a group of mobile terminals.

[0102] Optionally, in this embodiment, the storage medium is configured to store program code for performing the following steps: Step 101, establish a communication relationship with the calibration device of the instrument, remotely control the calibration device to perform initialization settings, control the instrument to automatically calibrate according to the corresponding verification procedure or calibration specification through the calibration device, and display the setting status of the calibration device and the calibration results of the instrument in real time.

[0103] Step 102: Save the data collected during calibration and generate a calibration certificate for the collected data, and determine whether the calibration result exceeds the performance index threshold of the instrument and display it on the calibration certificate.

[0104] Specifically, this also includes configuring and managing instrument and meter information, and establishing a dynamic archive of instruments and meters.

[0105] Specifically, this also includes: electronically reviewing and approving the calibration certificate by setting user permissions.

[0106] Specifically, this also includes: real-time display of calibration data for the same model of instrument or historical calibration data for the same instrument.

[0107] Specifically, it also includes: setting a task list for calibrating instruments, calibrating the instruments according to the task list, storing the calibration results in the task list, and allowing users to set filtering conditions to output a filtered task completion list and automatically calculate the task execution status.

[0108] Example 4

[0109] This invention also proposes an electronic device, including a processor and a storage medium connected to the processor. The storage medium stores multiple instructions, which can be loaded and executed by the processor to enable the processor to execute the instrument calibration control and analysis method described above.

[0110] Specifically, the electronic device in this embodiment can be a computer terminal, which may include one or more processors and a storage medium.

[0111] The storage medium can be used to store software programs and modules, such as the instrument calibration control and analysis method in this embodiment of the invention. The corresponding program instructions / modules are executed by the processor through running the software programs and modules stored in the storage medium, thereby performing various functional applications and data processing, thus realizing the aforementioned instrument calibration control and analysis method. The storage medium may include high-speed random access storage media, and may also include non-volatile storage media, such as one or more magnetic storage systems, flash memory, or other non-volatile solid-state storage media. In some instances, the storage medium may further include storage media remotely configured relative to the processor, which can be connected to the terminal via a network. Examples of such networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof.

[0112] The processor can call the information and application stored in the storage medium through the transmission system to perform the following steps: Step 101, establish a communication relationship with the calibration device of the instrument, remotely control the calibration device to perform initialization settings, control the instrument to automatically calibrate according to the corresponding verification procedure or calibration specification through the calibration device, and display the setting status of the calibration device and the calibration results of the instrument in real time.

[0113] Step 102: Save the data collected during calibration and generate a calibration certificate for the collected data, and determine whether the calibration result exceeds the performance index threshold of the instrument and display it on the calibration certificate.

[0114] Specifically, this also includes configuring and managing instrument and meter information, and establishing a dynamic archive of instruments and meters.

[0115] Specifically, this also includes: electronically reviewing and approving the calibration certificate by setting user permissions.

[0116] Specifically, this also includes: real-time display of calibration data for the same model of instrument or historical calibration data for the same instrument.

[0117] Specifically, it also includes: setting a task list for calibrating instruments, calibrating the instruments according to the task list, storing the calibration results in the task list, and allowing users to set filtering conditions to output a filtered task completion list and automatically calculate the task execution status.

[0118] The sequence numbers of the above embodiments of the present invention are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0119] In the above embodiments of the present invention, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0120] In the several embodiments provided by this invention, it should be understood that the disclosed technical content can be implemented in other ways. The system embodiments described above are merely illustrative; for example, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces, or indirect coupling or communication connection between units or modules, and may be electrical or other forms.

[0121] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0122] Furthermore, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0123] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes: USB flash drives, read-only storage media (ROM), random access storage media (RAM), portable hard drives, magnetic disks, optical disks, and other media capable of storing program code.

[0124] Obviously, the above embodiments are merely illustrative examples for clear explanation and are not intended to limit the implementation. Those skilled in the art will recognize that other variations or modifications can be made based on the above description. It is neither necessary nor possible to exhaustively list all possible implementations here. However, obvious variations or modifications derived therefrom are still within the scope of protection of this invention.

Claims

1. A method for calibrating, controlling, and analyzing instruments and meters, characterized in that, include: Establish a communication relationship with the calibration device of the instrument, remotely control the calibration device to perform initialization settings, control the instrument to automatically calibrate according to the corresponding verification procedure or calibration specification through the calibration device, and display the setting status of the calibration device and the calibration results of the instrument in real time. The data collected during calibration is saved and a calibration certificate for the collected data is generated. It is also determined whether the calibration result exceeds the performance index threshold of the instrument and displayed on the calibration certificate. Set up a big data model to calculate the final consistency score of the instruments. The higher the final consistency score, the higher the reliability of the instruments. The big data model specifically includes: ， in, For time Time calibration data ,time Environmental parameters ,time Physical performance indicators and time External interference factors Multidimensional nonlinear mapping function, For the amount of calibration data, For the first The weights of each calibration data point For the first The first adjustment factor for each calibration data point. For the first The second adjustment factor for each calibration data, The number of environmental parameters, For the first The weights of each environmental parameter, For the first Adjustment factors for each environmental parameter, For time Time One environmental parameter, The number of physical performance indicators. For the first The weights of each physical performance index This is an adjustment factor for physical performance indicators. The number of external interference factors, For the first The weight of each external disturbance factor, As an adjustment factor for external interference factors, For the first The first physical performance index and the first Influencing factors of the interaction of environmental parameters; Set the consistency scoring function for instruments and meters as follows: ， in, For time Consistency score of instruments and meters These are dynamic weighting coefficients. This is an adjustment factor for the consistency score. For ambient humidity, For temperature fluctuations; Dynamic weighting coefficients Specifically: ， in, The first adjustment factor for the dynamic weighting coefficients. To verify the latest time of the instruments, The second adjustment factor for the dynamic weighting coefficients. This represents the average value of environmental parameters. The third adjustment factor for the dynamic weighting coefficients; Configure the dynamic anomaly detection function for the instrument as follows: ， in, For time Dynamic abnormal detection values ​​of instruments and meters The ideal value for the performance index The first adjustment factor for dynamic anomaly detection values. This is the second adjustment factor for the dynamic anomaly detection value; Set the final consistency scoring function for the instruments as follows: ， in, For time The final consistency score of the instruments and meters. The weights of the dynamic anomaly detection values.

2. The instrument calibration control and analysis method as described in claim 1, characterized in that, Also includes: Configure and manage instrument and meter information, and establish a dynamic archive of instruments and meters.

3. The instrument calibration control and analysis method as described in claim 1, characterized in that, Also includes: The calibration certificate is subject to electronic approval by setting user permissions.

4. The instrument calibration control and analysis method as described in claim 1, characterized in that, Also includes: It can display calibration data of the same model of instrument or historical calibration data of the same instrument in real time.

5. The instrument calibration control and analysis method as described in claim 1, characterized in that, Also includes: Set up a task list for calibrating instruments, calibrate the instruments according to the task list, and store the calibration results in the task list. Users can set filter conditions to output a filtered task completion list and automatically count the task execution status.

6. An instrument calibration control and analysis system, characterized in that, include: The calibration module is used to establish a communication relationship with the calibration device of the instrument, remotely control the calibration device to perform initialization settings, control the instrument to automatically calibrate according to the corresponding verification procedure or calibration specification through the calibration device, and display the setting status of the calibration device and the calibration results of the instrument in real time. The calibration certificate generation module is used to save the data collected during calibration, generate a calibration certificate for the collected data, determine whether the calibration result exceeds the performance index threshold of the instrument, and display it on the calibration certificate. Set up a big data model to calculate the final consistency score of the instruments. The higher the final consistency score, the higher the reliability of the instruments. The big data model specifically includes: ， in, For time Time calibration data ,time Environmental parameters ,time Physical performance indicators and time External interference factors Multidimensional nonlinear mapping function, For the amount of calibration data, For the first The weights of each calibration data point For the first The first adjustment factor for each calibration data point. For the first The second adjustment factor for each calibration data, The number of environmental parameters, For the first The weights of each environmental parameter, For the first Adjustment factors for each environmental parameter, For time Time One environmental parameter, The number of physical performance indicators. For the first The weights of each physical performance index This is an adjustment factor for physical performance indicators. The number of external interference factors, For the first The weight of each external disturbance factor, As an adjustment factor for external interference factors, For the first The first physical performance index and the first Influencing factors of the interaction of environmental parameters; Set the consistency scoring function for instruments and meters as follows: ， in, For time Consistency score of instruments and meters These are dynamic weighting coefficients. This is an adjustment factor for the consistency score. For ambient humidity, For temperature fluctuations; Dynamic weighting coefficients Specifically: ， in, The first adjustment factor for the dynamic weighting coefficients. To verify the latest time of the instruments, The second adjustment factor for the dynamic weighting coefficients. This represents the average value of environmental parameters. The third adjustment factor for the dynamic weighting coefficients; Configure the dynamic anomaly detection function for the instrument as follows: ， in, For time Dynamic abnormal detection values ​​of instruments and meters The ideal value for the performance index The first adjustment factor for dynamic anomaly detection values. This is the second adjustment factor for the dynamic anomaly detection value; Set the final consistency scoring function for the instruments as follows: ， in, For time The final consistency score of the instruments and meters. The weights of the dynamic anomaly detection values.

7. The instrument calibration control and analysis system as described in claim 6, characterized in that, Also includes: Configure and manage instrument and meter information, and establish a dynamic archive of instruments and meters.

8. The instrument calibration control and analysis system as described in claim 6, characterized in that, Also includes: The calibration certificate is subject to electronic approval by setting user permissions.

9. The instrument calibration control and analysis system as described in claim 6, characterized in that, Also includes: It can display calibration data of the same model of instrument or historical calibration data of the same instrument in real time.

10. The instrument calibration control and analysis system as described in claim 6, characterized in that, Also includes: Set up a task list for calibrating instruments, calibrate the instruments according to the task list, and store the calibration results in the task list. Users can set filter conditions to output a filtered task completion list and automatically count the task execution status.

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