Locomotive measuring instrument digital intelligence automatic detection platform and detection method

Abstract

The invention relates to a locomotive measuring instrument digital intelligent automatic detection platform and a detection method, and belongs to the technical field of locomotive measuring instrument detection, and the platform comprises a data acquisition module which is used for obtaining the detection data of a measuring instrument; the block chain module is used for remote transmission and data receiving; the computer processing module is used for determining an identification result and generating an original identification record and an identification certificate; the artificial intelligence algorithm module is used for calculating a measurement error value and measurement uncertainty; the big data analysis module is used for counting and summarizing various types of original identification record data, generating a periodic verification plan and carrying out online confirmation; the full-life-cycle management module is used for carrying out full-life-cycle management; the outsourcing verification management module is used for simplifying an outsourcing verification process; the process auditing and electronic signature module is used for introducing a process auditing mechanism and an electronic signature technology; and the reminding and detection urging module is used for monitoring the verification period and sending out a detection urging prompt in time. According to the invention, the detection accuracy and efficiency are improved.

Description

Technical Field

[0001] The present invention relates to a digital and intelligent automatic detection platform and detection method for locomotive measuring instruments, belonging to the technical field of locomotive measuring instrument detection. Background Art

[0002] Measurement is the technical foundation for ensuring the safe production of railway freight transportation and product quality. In railway operation, the accuracy of measuring instruments and standard instruments is directly related to the safety and efficiency of train operation.

[0003] During the operation of locomotives, measuring instruments play a crucial role in ensuring train operation safety and improving transportation efficiency. Currently, the field of locomotive measuring instrument detection mainly relies on traditional detection methods and technical means, and the overall technical status presents the following characteristics: 1) Strong dependence on manual operation: Most detection processes rely on manual operation, with low efficiency and being easily affected by subjective experience. Manual recording and calculation are prone to introducing errors, and single detection takes a long time.

[0004] 2) Disconnection between personnel and technology: There is a lack of special training for verification personnel on locomotive-specific instruments, insufficient professional knowledge of new measuring instruments, and an imperfect detection personnel recognition system.

[0005] 3) Imperfect management of detection institutions: The management of the detection efficiency, detection quality, and their respective advantageous detection items of detection institutions is imperfect. When selecting a detection institution, there is a large degree of randomness and poor pertinence.

[0006] 4) Weak data management and analysis: Detection data is mostly stored in the form of paper or stand-alone electronic spreadsheets, lacking a unified data management platform, resulting in difficulties in tracing historical data and low informatization level.

[0007] The data of each detection device is not integrated, and multi-parameter fusion analysis cannot be realized, resulting in the problem of data islands. It is impossible to automatically generate verification plans and impossible to track the whole process of measuring instruments to ensure the timeliness and accuracy of value traceability.

[0008] Artificial intelligence algorithms are not introduced to deeply mine detection data, such as predicting the failure trend of measuring instruments and optimizing calibration cycles through machine learning, lacking intelligent analysis.

[0009] With the rapid development of information technology, constructing a digital and intelligent automatic detection system platform has become the key path to improving railway measurement level and promoting railway intelligent development. Therefore, the present invention proposes a digital and intelligent automatic detection platform and detection method for locomotive measuring instruments. Summary of the Invention

[0010] To solve the above problems, the present invention proposes an intelligent automatic detection platform and detection method for locomotive measuring instruments, which can improve the accuracy and efficiency of locomotive measuring instrument detection.

[0011] The technical solution adopted by the present invention to solve its technical problems is as follows: In a first aspect, an intelligent automatic detection platform for locomotive measuring instruments provided by an embodiment of the present invention includes: A data acquisition module, configured to configure an acquisition client to communicate with the measuring instrument to be detected and obtain the detection data of the measuring instrument; A blockchain module, used for remote transmission and data reception of detection data; A computer processing module, configured to calculate the detection data, determine the appraisal result, and generate an original appraisal record and an appraisal certificate according to the appraisal result; An artificial intelligence algorithm module, configured to calculate the measurement error value and measurement uncertainty of the detection data; A big data analysis module, configured to statistically summarize the original appraisal record data of various measuring instruments to be detected, generate annual and monthly cycle verification plans for measuring instruments, and count the workload by specialty, by personnel, and by time, and perform electronic signature and online confirmation of measuring instruments subject to entrusted inspection; A full-life cycle management module, configured to perform full-life cycle management of warehousing, outbound, scrapping, standby, and receipt and delivery records of measuring instruments and standard instruments; An entrusted verification management module, configured to simplify the entrusted verification process, and the entrusted verification process includes application, approval, tracking, and result entry links; A process review and electronic signature module, configured to introduce a process review mechanism to ensure operation compliance, and adopt electronic signature technology to improve the convenience and security of document signing; A reminder and inspection reminder module, configured to monitor the verification cycle of measuring instruments and send inspection reminder messages in a timely manner.

[0012] As a possible implementation manner of this embodiment, the data acquisition module supports online detection and data transmission of displacement sensors, pressure sensors, and current voltage meters; each variable of the detection data is set with a variable data format, variable name, variable address, and read-write type.

[0013] As a possible implementation manner of this embodiment, in the data acquisition module, one acquisition client can communicate with multiple devices to be acquired simultaneously, and each device connection is configured with the IP address, port, communication method, and communication parameters of the device to be acquired, and multiple acquisition variables can be established for each connection to obtain the values of specific data points.

[0014] As a possible implementation manner of this embodiment, the automatic detection module communicates with the appraisal device through the SDK or WEBAPI method.

[0015] As a possible implementation manner of this embodiment, for the metrological standard device that can automatically detect measuring instruments, the measured data results are transmitted to the artificial intelligence algorithm module in real time, and the artificial intelligence algorithm module automatically calculates the error and uncertainty according to the obtained data; for the metrological standard device that cannot be automatically calibrated, after the verifier completes the calibration, the original calibration record electronic template is entered, and the artificial intelligence algorithm module automatically calculates the error and uncertainty according to the entered measurement data.

[0016] As a possible implementation manner of this embodiment, the big data analysis module is further used for summarizing the details of certificate issuance, comparing and analyzing the submitted inspection instruments, counting the submission situation, and counting and summarizing the scrapped measuring instruments.

[0017] As a possible implementation manner of this embodiment, during the monitoring of the verification period of the measuring instrument by the reminder and overdue inspection module, a reminder notice for the overdue unsubmitted measuring instrument is automatically generated and the reminder for overdue inspection is sent in time, and the overdue time is 3 days.

[0018] In a second aspect, a digital and intelligent automatic detection method for locomotive measuring instruments provided by an embodiment of the present invention includes the following steps: Configure the acquisition client through the data acquisition module to communicate with the device to be acquired, obtain the detection data of the measuring instrument, and upload the sorted and processed data to the computer processing module; Use blockchain technology to realize the remote transmission and data reception of automatic detection data; The computer processing module backs up and stores the original data, calculates the data according to the preset parameter template to determine the appraisal result, and generates the original appraisal record and appraisal certificate according to the appraisal result; Use the artificial intelligence algorithm to automatically calculate the measurement error value and measurement uncertainty of the detection data; Use big data analysis technology to automatically statistically summarize the original appraisal record data of various measuring instruments, automatically generate the annual and monthly cycle verification plans for measuring instruments, automatically count the workload by specialty, by personnel, and by time, realize the electronic signature function, and realize the online automatic confirmation of the measuring instruments subject to outsourcing inspection; Realize the intelligent management of the whole life cycle of the measuring instrument and the standard device; Simplify the outsourcing verification process; Introduce a process review mechanism to ensure operation compliance, and use electronic signature technology to improve the convenience and security of document signing; Automatically monitor the verification period of the measuring instrument and send a reminder for overdue inspection in time.

[0019] As a possible implementation of this embodiment, the reminder notice is automatically triggered 3 days before the expiration date.

[0020] As a possible implementation of this embodiment, in the data acquisition module, the IP address, port, communication method, and communication parameters of each device to be connected and configured are collected. Multiple acquisition variables are established in each connection, and the data format, variable name, variable address, and read / write type of each variable are set.

[0021] As a possible implementation of this embodiment, the process of the computer processing module calculating data according to a preset parameter template includes: Performing data preprocessing on the collected detection data. The data preprocessing includes removing invalid data, duplicate data, and abnormal data, converting the original data into a format or unit suitable for subsequent calculations, and estimating missing data points through interpolation methods; Performing signal processing on the processed detection data according to the sampling frequency, and performing data modeling and parameter calculation.

[0022] As a possible implementation of this embodiment, the automatic detection module communicates with the identification device through the SDK or WEBAPI method.

[0023] The beneficial effects of the technical solution of the embodiment of the present invention are as follows: 1) The present invention realizes an automatic detection system for locomotive measuring instruments, greatly improving the accuracy and efficiency of detection; 2) The present invention automatically calculates data, automatically generates various account books such as original records, reducing the errors and cumbersome of manual operations; 3) The present invention introduces blockchain technology to realize the remote transmission and data reception of automatic detection data, improving the reliability and security of data; 4) The present invention uses artificial intelligence algorithms to automatically calculate measurement error values and measurement uncertainties, further improving the accuracy of detection; 5) The present invention realizes the comprehensive statistics and analysis of measurement instrument detection data through big data analysis technology, providing strong support for optimizing the use and management of measurement instruments. Description of the Drawings

[0024] Figure 1 is a schematic structural diagram of a digital and intelligent automatic detection platform for locomotive measuring instruments shown according to an exemplary embodiment; Figure 2 is a flowchart of a digital and intelligent automatic detection method for locomotive measuring instruments shown according to an exemplary embodiment. Detailed Embodiments

[0025] To more clearly illustrate the technical features of the solution of the present invention, the present invention will be elaborated in detail below through specific embodiments and in conjunction with its accompanying drawings.

[0026] In order to realize the digital and intelligent automatic detection of locomotive measuring instruments, the implementation of the present invention is mainly reflected in the following aspects: 1. AI digital model: Realize multi-parameter fusion analysis and solve the problem of data islands. Introduce artificial intelligence algorithms to deeply mine the detection data, predict the fault trend of measuring instruments and optimize the calibration cycle through machine learning, etc., and establish a digital model for the whole life cycle of the equipment to be detected.

[0027] 2. Intelligent management of verification plans: According to the digital model, automatically generate verification plans, intelligently monitor the verification cycle of measuring instruments, and send reminder messages for verification in a timely manner to avoid overuse.

[0028] 3. Dynamically set verification templates: According to the digital model, create and manage verification templates, and dynamically set the detection items and detection parameters of the templates according to different devices and the aging degree of different devices, so that they conform to the actual state of the devices and ensure the detection effect.

[0029] 4. Intelligent matching of verification templates: When detecting equipment, the system automatically matches the applicable verification template according to the digital model of the equipment, and obtains the detection result values from the verification tasks according to the detection items and requirements configured in the verification template.

[0030] 5. Digital automatic detection: Integrate a variety of communication protocols and digital interfaces, automatically control the verification equipment according to the verification template to set various verification parameters, automatically verify the equipment to be detected, and automatically read the verification results through the digital interface.

[0031] 6. Whole life cycle management: Carry out whole life cycle management of the warehousing, outbound, scrapping, standby and receipt and delivery records of measuring instruments and standard instruments, and track the whole process of measuring instruments to ensure the timeliness and accuracy of quantity value traceability.

[0032] As Figure 1 shown, a digital and intelligent automatic detection platform for locomotive measuring instruments provided by an embodiment of the present invention includes: A data acquisition module, configured to configure a collection client to communicate with the measuring instrument to be detected and obtain the detection data of the measuring instrument; A blockchain module, configured to perform remote transmission and data reception of detection data; A computer processing module, configured to calculate the detection data, determine the verification result, and generate an original verification record and a verification certificate according to the verification result; An artificial intelligence algorithm module, configured to calculate the measurement error value and measurement uncertainty of the detection data; The big data analysis module is used to statistically summarize the original appraisal record data of various measuring instruments to be detected, generate annual and monthly calibration plans for measuring instruments, and count the workload by specialty, personnel, and time, and perform electronic signature and online confirmation of externally commissioned measuring instruments; The full-life cycle management module is used for the full-life cycle management of the warehousing, outbound, scrapping, standby, receiving, and dispatching records of measuring instruments and standard instruments; The externally commissioned calibration management module is used to simplify the externally commissioned calibration process, and the externally commissioned calibration process includes application, approval, tracking, and result entry links; The process audit and electronic signature module is used to introduce a process audit mechanism to ensure operation compliance, and adopt electronic signature technology to improve the convenience and security of document signing; The reminder and calibration reminder module is used to monitor the calibration cycle of measuring instruments and send calibration reminder messages in a timely manner.

[0033] As a possible implementation manner of this embodiment, the data acquisition module supports the online detection and data transmission of displacement sensors, pressure sensors, and current voltage meters; each variable of the detected data is set with a variable data format, variable name, variable address, and read / write type.

[0034] As a possible implementation manner of this embodiment, in the data acquisition module, one acquisition client can communicate with multiple devices to be acquired simultaneously, and the IP address, port, communication method, and communication parameters of each device to be acquired are configured for each connection, and multiple acquisition variables can be established for each connection to obtain the values of specific data points.

[0035] As a possible implementation manner of this embodiment, the automatic detection module communicates with the appraisal device through the SDK or WEBAPI method.

[0036] As a possible implementation manner of this embodiment, for the measurement standard device that can automatically detect measuring instruments, the measured data results are transmitted to the artificial intelligence algorithm module in real time, and the artificial intelligence algorithm module automatically calculates the error and uncertainty based on the obtained data; for the measurement standard device that cannot be automatically calibrated, after the calibrator completes the calibration, the original calibration record electronic template is entered, and the artificial intelligence algorithm module automatically calculates the error and uncertainty based on the entered measurement data.

[0037] As a possible implementation manner of this embodiment, the big data analysis module is also used for the summary of certificate issuance details, comparative analysis of submitted inspection instruments, statistics of submitted inspection situations, and statistical summary of scrapped measuring instruments.

[0038] As a possible implementation of this embodiment, during the process of the reminder and inspection reminder module monitoring the verification cycle of measuring instruments, a reminder notice for overdue uninspected measuring instruments is automatically generated and a reminder for inspection is sent in a timely manner. The overdue time is 3 days.

[0039] The present invention constructs a digital and intelligent automatic detection platform for locomotive measuring instruments, realizes the intelligent management, remote monitoring and data analysis of locomotive measuring instruments, improves the measurement accuracy and efficiency, reduces the operation and maintenance costs, and improves the work efficiency; the real-time data collection and analysis function helps the management to timely understand the indicators and key nodes in the production process, realizes accurate production scheduling and resource optimization, and ensures the timeliness and accuracy of the value traceability of locomotive measuring instruments.

[0040] As Figure 2 shown, a digital and intelligent automatic detection method for locomotive measuring instruments provided by an embodiment of the present invention includes the following steps: Configure the acquisition client through the data acquisition module to communicate with the device to be acquired, obtain the detection data of the measuring instrument, and upload the sorted and processed data to the computer processing module; Use blockchain technology to realize the remote transmission and data reception of automatic detection data; The computer processing module backs up and stores the original data, calculates the data according to the preset parameter template to determine the verification result, and generates the original verification record and verification certificate according to the verification result; Use artificial intelligence algorithms to automatically calculate the measurement error value and measurement uncertainty of the detection data; Use big data analysis technology to automatically statistically summarize the original verification record data of various measuring instruments, automatically generate annual and monthly cycle verification plans for measuring instruments, automatically count the workload by specialty, by personnel, and by time, realize the electronic signature function, and realize the online automatic confirmation of measuring instruments subject to external inspection; Realize the intelligent management of the whole life cycle of measuring instruments and standard devices; Simplify the process of external verification; Introduce a process audit mechanism to ensure operation compliance, and adopt electronic signature technology to improve the convenience and security of document signing; Automatically monitor the verification cycle of measuring instruments and send inspection reminder in a timely manner.

[0041] As a possible implementation of this embodiment, the inspection reminder is automatically triggered 3 days before the due date.

[0042] As a possible implementation of this embodiment, in the data acquisition module, the IP address, port, communication method, and communication parameters of each device to be acquired are configured for each device connection. Multiple acquisition variables are established for each connection, and the data format, variable name, variable address, and read / write type of each variable are set.

[0043] As a possible implementation of this embodiment, the process of the computer processing module calculating data according to a preset parameter template includes: Perform data preprocessing on the acquired detection data. The data preprocessing includes removing invalid data, duplicate data, and abnormal data, converting the original data into a format or unit suitable for subsequent calculations, and estimating missing data points through interpolation methods. Perform signal processing on the processed detection data according to the sampling frequency, and perform data modeling and parameter calculation.

[0044] As a possible implementation of this embodiment, the automatic detection module communicates with the identification device through the SDK or WEBAPI method.

[0045] The main research contents involved in the implementation process of the present invention are as follows: Research blockchain technology: realize the remote transmission and reception of automatic detection data, including the remote transmission of detection data such as displacement sensors, pressure sensors, pressure gauges, current, voltage meters, and multimeters. Research artificial intelligence algorithms: realize the automatic calculation of measurement error values and measurement uncertainties, and can accurately calculate for both metrological standard devices that can be automatically detected and those that cannot be automatically calibrated. Research big data analysis technology: realize functions such as automatic statistical summary of original appraisal record data of various measuring instruments, workload statistics, summary of certificate issuance details, comparative analysis of submitted inspection instruments, statistics of submitted inspection situations, statistical summary of scrapped measuring instruments, etc., as well as electronic signatures, various basic information management processes, and three-party online automatic confirmation of externally commissioned inspection measuring instruments.

[0046] The present invention realizes the following functions: Automated verification reminder and traceability: automatically generate verification plans according to preset rules, execute verification tasks, and automatically generate verification original records and verification certificates, supporting traceability queries. Full life cycle management: realize the intelligent management of the entire life cycle of measuring instruments and standard devices, including warehousing, outbound, scrapping, standby, receipt and dispatch records, etc. Externally commissioned verification management: simplify the externally commissioned verification process, including links such as application, approval, tracking, and result entry. Process review and electronic signature: introduce a process review mechanism to ensure operation compliance; adopt electronic signature technology to improve the convenience and security of document signing. Automatic intelligent reminder and inspection reminder: The system automatically monitors the verification cycle of measuring instruments, sends inspection reminder in a timely manner, and avoids using them beyond the due date.

[0047] The process of digital and intelligent automatic detection of locomotive measuring instruments in the present invention includes the following parts.

[0048] I. Data acquisition: The data acquisition module configures the acquisition client. One acquisition client can communicate with multiple devices to be acquired simultaneously. Each communication corresponds to a device connection, and each device connection configures the IP address, port, communication method, communication parameters, etc. of the device to be acquired; and multiple acquisition variables can be established in each connection to obtain the values of specific data points. Each variable needs to set the data format, variable name, variable address, read / write type of the variable. After organizing and processing the acquired data, it is uploaded to the computer processing module through webapi. The computer processing module backs up and stores the original data, and performs calculations through the management calculation module to determine whether the data is within the set range according to the set parameter template, so as to determine the verification result, and generate the original verification record and verification certificate according to the verification result.

[0049] II. Data calculation: Data preprocessing: It includes steps such as data cleaning, data conversion, data interpolation, sampling frequency selection, data quality control, and algorithm selection to ensure the accuracy and consistency of the data, and provide a reliable data basis for subsequent calculations; Data calculation: For continuously changing analog signals, feature extraction and spectrum analysis are carried out through signal processing techniques, including filtering, Fourier transform, etc.; according to the characteristics and laws of the data, a mathematical model is established for prediction and simulation; according to specific calculation formulas or algorithms, specific parameters of the data are calculated.

[0050] III. Big data analysis: Statistical analysis: Use statistical methods to perform descriptive statistics and inferential statistics on the data; Diagnostic analysis: Deeply explore the relationships between data and identify patterns and anomalies in the data; Predictive analysis: Use machine learning algorithms to establish a prediction model based on historical data and predict future data; Directive analysis: Based on the analysis results, put forward targeted suggestions or measures.

[0051] IV. Implementation process of automatic verification: Make an appraisal plan -> Generate appraisal tasks -> Assign appraisal tasks to appraisal devices -> Appraisal devices perform inspections -> Generate inspection data -> Report to the automatic inspection system platform. The communication with the appraisal devices can be carried out through the SDK or WEBAPI method.

[0052] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit them. Although the present invention has been described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that modifications or equivalent replacements can still be made to the specific implementation manners of the present invention. Any modifications or equivalent replacements that do not depart from the spirit and scope of the present invention shall be covered by the protection scope of the claims of the present invention.

Claims

1. An intelligent automatic detection platform for locomotive measuring instruments, characterized in that, Including: A data acquisition module, configured to configure an acquisition client to communicate with a measuring instrument to be detected and obtain the detection data of the measuring instrument; A blockchain module, configured to remotely transmit and receive the detection data; A computer processing module, configured to calculate the detection data, determine the verification result, and generate an original verification record and a verification certificate according to the verification result; An artificial intelligence algorithm module, configured to calculate the measurement error value and measurement uncertainty of the detection data; A big data analysis module, configured to statistically summarize the original verification record data of various measuring instruments to be detected, generate annual and monthly measuring instrument periodic verification plans, and statistically calculate the workload by specialty, by personnel, and by time, and perform electronic signature and online confirmation of the measuring instruments subject to outsourcing inspection; A full life cycle management module, configured to perform full life cycle management of the warehousing, outbound, scrapping, standby, receiving and dispatching records of the measuring instruments and standard devices; An outsourcing verification management module, configured to simplify the outsourcing verification process, and the outsourcing verification process includes application, approval, tracking and result entry links; A process review and electronic signature module, configured to introduce a process review mechanism to ensure operation compliance, and adopt electronic signature technology to improve the convenience and security of document signing; A reminder and inspection reminder module, configured to monitor the verification cycle of the measuring instrument and send out inspection reminder in a timely manner.

2. The intelligent automatic detection platform for locomotive measuring instruments according to claim 1, characterized in that, The data acquisition module supports on-line detection and data transmission of displacement sensors, pressure sensors and current voltage meters; each variable of the detection data is set with a variable data format, variable name, variable address, read-write type.

3. The intelligent automatic detection platform for locomotive measuring instruments according to claim 1, wherein, In the data acquisition module, one acquisition client can communicate with multiple devices to be acquired at the same time, and each device connection is configured with the IP address, port, communication method, and communication parameters of the device to be acquired, and multiple acquisition variables can be established for each connection to obtain the values of specific data points.

4. A digital intelligent automatic detection platform for locomotive measuring instruments according to claim 1, characterized in that For a metrological standard device capable of automatically detecting a measuring instrument, the measured data result is transmitted to the artificial intelligence algorithm module in real time, and the artificial intelligence algorithm module automatically calculates the error and uncertainty according to the obtained data; For a metrological standard device that cannot be automatically calibrated, after the calibrator completes the calibration, the original calibration record electronic template is entered, and the artificial intelligence algorithm module automatically calculates the error and uncertainty according to the entered measurement data.

5. The intelligent automatic detection platform for locomotive measuring instruments according to claim 1, wherein The big data analysis module is further configured to perform summary of certificate issuance details, comparative analysis of instruments to be inspected, statistics of inspection situations, and statistical summary of scrapped measuring instruments.

6. A digital intelligent automatic detection platform for locomotive measuring instruments according to any one of claims 1-5, characterized in that, During the process of the reminder and inspection reminder module monitoring the verification cycle of the measuring instrument, a reminder notice for the measuring instrument that has not been inspected in the near future is automatically generated and the inspection reminder is sent out in a timely manner, and the near-term time is 3 days.

7. An intelligent automatic detection method for locomotive measuring instruments, characterized in that, Including the following steps: Configure an acquisition client through the data acquisition module to communicate with the device to be acquired, obtain the detection data of the measuring instrument, and upload the sorted and processed data to the computer processing module; Use blockchain technology to realize remote transmission and data reception of automatic detection data; The computer processing module backs up and stores the original data, calculates the data according to a preset parameter template to determine the appraisal result, and generates an original appraisal record and an appraisal certificate according to the appraisal result; Automatically calculate the measurement error value and measurement uncertainty of the detection data by using artificial intelligence algorithms; Use big data analysis technology to automatically statistically summarize the original appraisal record data of various measuring instruments, automatically generate annual and monthly periodic verification plans for measuring instruments, automatically count the workload by specialty, by personnel, and by time, implement the electronic signature function, and realize the online automatic confirmation of externally commissioned inspection measuring instruments; Realize the intelligent management of the whole life cycle of measuring instruments and standard devices; Simplify the externally commissioned verification process; Introduce a process review mechanism to ensure operation compliance, and adopt electronic signature technology to improve the convenience and security of document signing; Automatically monitor the verification cycle of measuring instruments and send reminder notices in a timely manner.

8. A digital intelligent automatic detection method for locomotive measuring instruments according to claim 7, characterized in that The reminder notice is automatically triggered 3 days before the due date.

9. A digital and intelligent automatic detection method for locomotive measuring instruments according to claim 7, characterized in that, In the data acquisition module, the IP address, port, communication method, and communication parameters of the device to be acquired are configured for each device connection. Multiple acquisition variables are established in each connection, and the data format, variable name, variable address, and read / write type of each variable are set.

10. A digital intelligent automatic detection method for locomotive measuring instruments according to any one of claims 7-9, characterized in that, The process of the computer processing module calculating the data according to the preset parameter template includes: Perform data preprocessing on the collected detection data. The data preprocessing includes removing invalid data, duplicate data, and abnormal data, converting the original data into a format or unit suitable for subsequent calculations, and estimating missing data points through interpolation methods; Perform signal processing on the processed detection data according to the sampling frequency, and perform data modeling and parameter calculation.

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