Intelligent supervision platform for inspection and detection industry

Abstract

The invention discloses an intelligent supervision platform for inspection and detection industry, which comprises an authorized personnel supervision module, a hierarchical supervision module and a supervision and inspection function, performs hierarchical management on supervision personnel, implements a statistical analysis system, summarizes and analyzes detection and inspection mechanisms and report data, and finally feeds back a result through a result feedback system. And analyzing the obtained various information reports of the detection and inspection mechanism and feeding back a result. According to the invention, the basic information and report data of the inspection and detection mechanism are collected and stored by establishing a data center and developing a unified supervision bar code. A mobile supervision system is realized, a supervisor is allowed to perform on-site inspection and report verification through mobile equipment, an electronic enterprise identity card system of inspection and detection institutions is established, a unique enterprise identity card number is created for information of each inspection and detection institution, and inspection and detection equipment is uniquely identified. And industry and commerce and qualification information of the inspection and detection mechanism is updated in real time, and a supervision and inspection system is established.

Description

Technical Field

[0001] The present invention relates to the technical field of supervision technology in the inspection and testing industry, and specifically relates to an intelligent supervision platform for the inspection and testing industry. Background Technique

[0002] In recent years, with the continuous development of society, the market scale of the inspection and testing industry has been continuously growing. There are a large number of enterprises in the inspection and testing industry, with fierce competition and the existence of vicious competition phenomena. At the same time, the industry threshold is relatively low, and new enterprises are emerging continuously, which has also led to the intensification of market competition. False data and illegal reports emerge in an endless stream, misleading the direction of government supervision and guidance. And currently, there are insufficient supplies for the high-quality development of services in the inspection and testing industry, the innovation ability and brand competitiveness need to be enhanced, there is no effective supervision platform and Internet supervision means to trace and anti-counterfeit inspection and testing reports, resulting in ineffective supervision and inspection.

[0003] Therefore, it is necessary to focus on the supervision of the inspection and testing industry, strengthen the supervision of online and offline channels, and severely crack down on inspection and testing illegal acts. Improving the supervision efficiency can quickly collect, process, and analyze a large amount of data, enabling the supervision department to more timely and comprehensively grasp the industry dynamics, reducing manual operations and time costs, enhancing the supervision accuracy by means of advanced technical means, reducing human errors and omissions, and accurately identifying problems and risks. Promoting fairness and justice, uniformly supervising all inspection and testing institutions according to the same standards, and reducing unfair phenomena caused by human factors. Summary of the Invention

[0004] The purpose of the present invention is to propose an intelligent supervision platform for the inspection and testing industry in order to solve the problems raised in the above background technique.

[0005] The purpose of the present invention can be achieved through the following technical solutions: An intelligent supervision platform for the inspection and testing industry includes a data center, a mobile supervision system, an electronic enterprise identity authentication system, an inspection and supervision system, a statistical analysis system, and a result feedback system; the data center is used to collect and store the basic information and report data of inspection and testing institutions; the mobile supervision system is used for supervisors to conduct on-site inspections and report verifications through mobile devices; The electronic enterprise ID system is used to identify the unique enterprise ID number, inspection and testing equipment, and supervision barcodes of each inspection and testing institution, trace the data of the inspection and testing institutions, connect to the industry information platform through a data interface to obtain the business information of the inspection and testing institutions, then construct an information archive based on the business information of all inspection and testing institutions, establish an enterprise electronic identification code for each inspection and testing institution through the information archive, and the data interface of the enterprise electronic identification code automatically initiates data synchronization requests with the industry information platform and the qualification approval institution to obtain the change information of the inspection and testing institutions in real time. The enterprise electronic identification code sets three different update frequencies according to the information update frequency and industry nature, including the initial stage, adjustment stage, and optimization and stability stage. Based on the established enterprise electronic identification code, the inspection and testing equipment information is uploaded to the electronic ID system, and a unique QR code is generated and attached to the inspection and testing equipment. The QR code contains the detailed information of the equipment. By scanning the QR code with a mobile terminal, the inspection and testing equipment can be read and identified. The inspection and testing data obtained from the data acquisition interface is used to extract the inspection report from the inspection and testing data, and a unique supervision barcode is generated for each inspection and testing institution's report. The report information of the corresponding inspection and testing institution can be obtained through the unique supervision barcode. The supervision and inspection system is used to analyze, classify, and assign supervision tasks to authorized supervision personnel, including an authorized personnel supervision module, a hierarchical supervision module, and a supervision and inspection module.

[0006] As a preferred embodiment of the present invention, the interface of the data center is also docked with the system interfaces of each inspection and testing institution to obtain the detection data and daily inspection report data in real time, store the detection data and inspection report data using the storage service of the data center, and classify, organize, and store the collected data. Real-time monitoring is carried out on the newly obtained detection data and daily inspection report data, and an alarm is immediately issued once abnormal data is found.

[0007] As a preferred embodiment of the present invention, the specific working process of the mobile supervision system is as follows: After the supervision personnel arrive at the inspection and testing institution, data is collected on-site. The camera of the mobile terminal is used to take pictures of the detection equipment and the environment, record and store the appearance, operating status, and environmental conditions of the equipment. Through the input function of the mobile terminal, key data parameters are manually entered. The data collected on-site is compared with the data in the report one by one to check for differences or abnormalities. For suspicious data or inconsistent places, they are marked and recorded. The data generated during the supervision process is synchronized and stored in real time. For report verification, the unique supervision barcode of the inspection report is input or scanned in the system, and the relevant report information is called. Data is statistically analyzed regularly to generate a supervision report and upload it to the data center.

[0008] As a preferred embodiment of the present invention, the authorized personnel supervision module is used to analyze authorized supervision personnel. The specific process is as follows: Obtain the personal information of authorized supervision personnel uploaded to the data center through mobile terminals, where the personal information includes basic identity information, professional titles in their respective units, and personal photos; assign permissions to each authorized supervision personnel corresponding to department functions and job functions, establish biometric technology, and log in the inspection and testing institutions and authorized supervision personnel to the platform interface through biometric technology to obtain the platform operation management permissions corresponding to the professional titles of authorized supervision personnel; obtain the location information of authorized supervision personnel through mobile terminals, and collect the operation behavior data and location trajectory data of authorized supervision personnel during their work. Analyze the situations where authorized supervision personnel have abnormal behaviors or deviate from the specified areas, and issue warning signals in a timely manner. The specific process is as follows: Analyze the operation behavior data and action trajectory data of authorized supervision personnel during their work. Analyze the operation behavior data to obtain the inspection step names and corresponding inspection durations; match the authorized supervision personnel with the preset standard step names and the standard duration of each step; compare the inspection step names with the standard step names to obtain the number of the same inspection steps in the same order, and divide the number of the same steps by the total number of inspection steps to obtain the coincidence degree; count the maximum value of the inspection steps with different orders and mark it as the maximum continuous difference value. For example, if there are at most two consecutive differences, the value of the maximum continuous difference value is two; if there are at most four consecutive differences, the value of the maximum continuous difference value is four; compare the inspection duration corresponding to each inspection step with the corresponding standard duration, mark the inspection duration less than the standard duration as the insufficient duration, calculate the difference between the insufficient duration and the standard duration to obtain the low-standard duration, and sum up the values of all low-standard durations to obtain the total low-standard value; sort all the low-standard durations in order, count the number of the low-standard durations in the front being lower than the low-standard durations in the back and mark it as the time appreciation value; multiply the total low-standard value and the time appreciation value by the corresponding preset weight coefficients respectively and then sum them up to obtain the time deviation value. Input the coincidence degree, the maximum continuous difference value, and the time deviation value into the computer, and convert them into lengths according to the preset ratio. Construct two circles with the lengths of the coincidence degree and the time deviation value as the radii. The centers of the two circles are located on the same vertical line, and the distance between the two circles is equal to the length corresponding to the maximum continuous difference value. Then connect the edges of the two circles in turn and construct a frustum of a cone. Extract the volume of the frustum of the cone and mark the value of the volume as the behavior warning value XY; Analyze the position trajectory data to obtain the position trajectory and the corresponding duration. Compare the position path with the set area, and count the length and duration of the position trajectory that does not belong to the set area. Mark them as abnormal trajectories and abnormal durations. Divide the length value of the abnormal trajectory by the total length value of the position trajectory to obtain the abnormal ratio. Normalize the abnormal ratio and the abnormal duration, and mark their values as AD1 and AD2 respectively. Substitute them into the formula GY = AD1×ef1 + AD2×ef2 to obtain the trajectory warning value GY, where ef1 and ef2 are both preset weight factors. When the behavior warning value is higher than the set behavior threshold, an inspection abnormal signal will be generated and fed back to the data center and the corresponding authorized supervisors. At the same time, a reminder for re-inspection operation will be generated and sent to the corresponding authorized supervisors. When the trajectory warning value GY is greater than the set trajectory threshold, a warning instruction for deviating from the specified area will be generated and fed back to the data center and the corresponding authorized supervisors.

[0009] As a preferred embodiment of the present invention, the hierarchical supervision module is used to evaluate and classify authorized supervisors. Specifically, based on the authorized personnel supervision module, obtain the platform operation management permissions corresponding to the authorized supervisors, and classify them into senior administrators, intermediate administrators, and ordinary administrators according to the platform operation management permissions. The senior administrator at the corresponding level has the highest permissions, and is responsible for information review, interface configuration, and task information distribution. The intermediate administrator conducts review, supervision, and rectification of the inspected inspection and testing institutions. The ordinary administrator views relevant information and uploads materials. The supervision and inspection module is used to formulate supervision tasks. Obtain the positions of authorized supervisors through the positioning function of the mobile terminal, and assign the supervision tasks to the corresponding authorized supervisors. The authorized supervisors receive the supervision task notifications in real time on the mobile terminal and view the task details and requirements, which include daily supervision and inspection and special supervision and inspection. Both correspond to the corresponding inspection item lists. The authorized supervisors conduct inspections according to the inspection item lists. After the inspections are completed, the inspectors and the inspected institutions jointly sign to confirm the inspection results and upload them. The specific assignment process is as follows: Obtain the total number of inspections corresponding to the authorized supervisors, as well as the behavior warning value and trajectory warning value for each inspection. Sum up all the behavior warning values and trajectory warning values respectively and take the average to obtain the behavior average value and the trajectory average value. Sort all the behavior warning values in chronological order, calculate the number of behavior warning values with lower values in the later order than in the earlier order to obtain the behavior decrease value, select the smallest behavior warning value and mark it as the minimum warning value. Normalize the total number of inspections, behavior average value, trajectory average value, behavior decrease value, and minimum warning value, and take the corresponding values of the three, and mark them as JC1, XJ2, GJ3, XZ4, and XZ5 in turn. Substitute them into the random assignment analysis model Output the assignment sequence value RF of the authorized supervisors, where μ1, μ2, μ3, μ4, and μ5 are all preset weight factors; assign the supervision task to the authorized supervisor with the largest assignment sequence value. If the authorized supervisor with the largest value is in the inspection state, then assign the supervision task to the authorized supervisor with the second-largest assignment sequence value; if the top five authorized supervisors in the ranking are all in the inspection state, then assign the supervision task to the authorized supervisor with the largest assignment sequence value, and at the same time mark the supervision task as the pending task corresponding to the authorized supervisor with the largest assignment sequence value.

[0010] As a preferred embodiment of the present invention, the specific process of the statistical analysis system for summarizing and analyzing the inspection and testing institutions and report data is as follows: Summarize and upload information such as the establishment time, legal representative, institution address, institution name, institution contact information, and institution qualifications of the inspection and testing institutions to the data center; Summarize and upload the corresponding information of the sampling link, sample submission link, testing link, testing personnel link, upload time link, etc. of the test reports to the data center; Summarize and automatically count the number of test reports uploaded by the inspection and testing institutions on the same day, including the total number of reports, the number of unqualified reports, and the modified reports.

[0011] Compared with the prior art, the beneficial effects of the present invention are: 1. The present invention guarantees data authenticity. Using technologies such as blockchain to ensure that data cannot be tampered with, ensuring the credibility of inspection and testing results. Optimize resource allocation. Through the analysis of industry data, reasonably plan and allocate supervision resources, and improve resource utilization efficiency. Promote the standardized development of the industry. Promote inspection and testing institutions to standardize their own behaviors and improve the overall quality and level of the industry. Strengthen information sharing: Different departments can better share information, cooperate in carrying out work, and avoid information silos. Improve emergency handling capabilities. When problems occur, be able to respond and handle quickly, reducing adverse effects. Improve public trust: Let the public understand the supervision process and results, and enhance the public's trust in the inspection and testing industry. Assist in scientific decision-making. Provide strong data support and basis for the regulatory department to formulate policies and development strategies.

[0012] 2. Through the analysis of the operation behaviors and action trajectories of authorized supervisors during their work, in order to timely send out warning signals when abnormal behaviors or deviations from the specified area occur to the authorized supervisors. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] For the convenience of those skilled in the art to understand, the present invention will be further described below with reference to the accompanying drawings.

[0014] Figure 1 It is a block diagram of the supervision platform of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0015] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without making creative efforts belong to the scope of protection of the present invention.

[0016] Please refer to Figure 1 As shown in the figure, a smart supervision platform for the inspection and testing industry includes a data center, a mobile supervision system, an electronic enterprise identity authentication system, an inspection and supervision system, a statistical analysis system, and a result feedback system. The data center is provided with a unified supervision barcode and collects and stores the basic information and report data of inspection and testing institutions. The specific acquisition process is as follows: Establish a docking of the data acquisition interface with the system interfaces of each inspection and testing institution to obtain detection data in real time. Use the storage service of the data center to store a large amount of data. Collect the daily inspection and testing report data from each inspection and testing institution through the data acquisition interface and store it in the data center. At the same time, use real-time monitoring of newly generated data and immediately issue an alarm once abnormal data is found. Based on the interface docking between the data center and each inspection and testing institution, establish an information declaration system, and the inspection and testing institutions upload the institution inspection reports and institution information to the data center through the information declaration system.

[0017] Extract the inspection and testing reports from the inspection and testing data obtained through the data acquisition interface, and generate a unique supervision barcode for each inspection and testing institution's report. The information data of the corresponding inspection and testing institution can be obtained through the unique supervision barcode.

[0018] The mobile supervision system allows supervisors to conduct on-site inspections and report verifications through mobile devices. The specific acquisition process is as follows: Based on the storage function of the data center, establish a mobile supervision system. After the supervisor arrives at the inspection and testing institution, open the mobile supervision application to collect data on-site, use the camera of the mobile device to take pictures of the testing equipment and the environment, and record and store the appearance, operating status, and environmental conditions of the equipment. Manually enter some key data parameters that cannot be directly photographed through the input function of the mobile terminal. Compare the data collected on-site with the data in the report one by one to check for differences or abnormalities. Mark and record suspicious data or inconsistent places for further investigation, and synchronize and store the data generated during the supervision process in real time for subsequent analysis and traceability. For report verification, input or scan the unique supervision barcode of the inspection and testing report in the system to call the relevant report information. Regularly conduct statistical analysis on the data in the system, generate a supervision report, and upload it to the data center so that the supervision leaders can check the supervision report at any time.

[0019] An electronic enterprise identity authentication system creates a unique enterprise ID number for the information of each inspection and testing institution, uniquely identifies inspection and testing equipment, and updates the qualification information of inspection and testing institutions in real time. The specific acquisition process is as follows: Connect to the industry information platform through a data interface to obtain the business information of inspection and testing institutions. The business information includes business license number, address location number, equipment management information, etc. Then, an information archive is constructed from the business information of all testing institutions. An enterprise electronic identification code is established for each inspection and testing institution through the information archive. The data interface of the enterprise electronic identification code automatically initiates data synchronization requests with the industry information platform and the qualification approval institution to obtain the updated registration information and change information of inspection and testing institutions in real time, including data such as the enterprise name, legal representative, and business scope on the business license. A biometric identification technology is established, and inspection and testing institutions log in to the electronic enterprise ID system through biometric identification technology.

[0020] The specific update time of the enterprise electronic identification code is determined according to the frequency of information updates, and three different update stages are set according to different industry natures. The following is a detailed description of the update frequency settings according to the three stages: For the inspection and testing institutions corresponding to the initial stage, the update frequency is set to a relatively low level, and data synchronization is performed once every 24 hours. For the inspection and testing institutions corresponding to the adjustment stage, the frequency is increased to once every 12 hours. For the inspection and testing institutions corresponding to the optimization and stability stage, the update frequency is increased to once every 6 hours.

[0021] When the qualification approval institution has important information updates, a message is pushed to the electronic enterprise ID system in real time to trigger an immediate update. Based on the established enterprise electronic identification code, the inspection and testing equipment information is uploaded to the electronic ID system, and a unique QR code is generated and attached to the inspection and testing equipment. The QR code contains detailed information about the equipment, such as model, serial number, manufacturer, etc. By scanning the QR code through the platform application on the mobile terminal, the inspection and testing equipment can be quickly and accurately read and identified.

[0022] The supervision and inspection system includes an authorized personnel supervision module, a hierarchical supervision module, and a supervision and inspection function. The specific acquisition process is as follows: The authorized supervisors upload their personal information, including basic identity information, professional titles of their affiliated units, and personal photos, to the data center through the platform. Corresponding permissions are granted to each authorized supervisor corresponding to department functions, position functions, and work from the database. Then, biometric technology is used to accurately identify the identities of the authorized supervisors to obtain the platform operation management permissions corresponding to their professional titles. The location information of the authorized supervisors is obtained through the mobile terminal, and the operation behaviors and action trajectory data during their work are collected. When abnormal behaviors or deviations from the specified area occur to the authorized supervisors, early warning signals are sent in a timely manner, and the abnormal behaviors or deviations from the specified area of the authorized supervisors are analyzed and early warning signals are sent in a timely manner. The specific process is as follows: Analyze the operation behavior data and action trajectory data of the authorized supervisors during their work. Parse the operation behavior data to obtain the inspection step names and corresponding inspection durations; match the authorized supervisors with the preset standard step names and standard durations for each step; compare the inspection step names with the standard step names to obtain the same number of inspection steps in the same order, and divide the same number by the total number of inspection steps to obtain the coincidence degree; count the maximum value of the inspection steps in different orders and mark it as the maximum consecutive difference value. For example, if there are at most two consecutive differences, the value of the maximum consecutive difference value is two; if there are at most four consecutive differences, the value of the maximum consecutive difference value is four; compare the inspection duration corresponding to each inspection step with the corresponding standard duration, mark the inspection duration less than the standard duration as the insufficient duration, calculate the difference between the insufficient duration and the standard duration to obtain the low-standard duration, and sum up all the values of the low-standard duration to obtain the total low-standard value; sort all the low-standard durations in the order of precedence, count the number of low-standard durations in the front being lower than those in the back and mark it as the time appreciation value; multiply the total low-standard value and the time appreciation value by the corresponding preset weight coefficients respectively and then sum them up to obtain the time deviation value. Input the coincidence degree, the maximum consecutive difference value, and the time deviation value into the computer, and convert them into lengths according to the preset ratio. Construct two circles with the lengths of the coincidence degree and the time deviation value as the radii. The centers of the two circles are on the same vertical line, and the distance between the two circles is equal to the length corresponding to the maximum consecutive difference value. Then, connect the edges of the two circles in turn and construct a frustum of a cone. Extract the volume of the frustum of the cone and mark the value of the volume as the behavior warning value XY; Analyze the position trajectory data to obtain the position trajectory and the corresponding duration. Compare the position path with the set area, and count the length and duration of the position trajectory that does not belong to the set area. Mark them as abnormal trajectory and abnormal duration. Divide the length value of the abnormal trajectory by the total length value of the position trajectory to obtain the abnormal trajectory ratio; normalize the abnormal ratio and the abnormal duration, and mark their values as AD1 and AD2 respectively. Substitute them into the formula GY = AD1×ef1 + AD2×ef2 + 1 to obtain the trajectory warning value GY; where ef1 and ef2 are both preset weight factors, and ef1 + ef2 = 1; When the behavior warning value is higher than the set behavior threshold, an inspection abnormal signal will be generated and fed back to the data center and the corresponding authorized supervisors. At the same time, a reminder for re-inspection operation will be generated and sent to the corresponding authorized supervisors; when the trajectory warning value GY is greater than the set trajectory threshold, a warning instruction for deviating from the specified area will be generated and fed back to the data center and the corresponding authorized supervisors.

[0023] Based on the corresponding platform operation management permissions obtained from the authorized supervision module, conduct a hierarchical evaluation of authorized personnel. For example, the senior administrator level has the highest permissions and can perform information review, interface configuration, and task distribution information; intermediate users can review and supervise monitoring and inspection agencies and rectify them; ordinary user levels can only view relevant information and upload materials. The senior administrator level can view all prefecture-level cities in the province on one screen, as well as all the inspection and supervision situations of various organs in all counties and districts, and all data of the testing industry and testing reports; one-key tasks can reach all prefecture-level cities in the province, as well as all organs and units in all counties and districts to carry out inspection and supervision work; in terms of administrative positions, subordinates cannot see the platform information viewed by superiors, but superiors can see the platform information of subordinates; in terms of functional units, cities cannot see the platform information of provinces, but provinces can see the platform information of cities, districts cannot see the platform information of cities, and cities can see the platform information of districts; in terms of administrative regions, local cities cannot see the information of other cities. The platform assigns different roles permissions to classify and grade various resources and associates them with user levels. At the same time, the platform provides a visual hierarchical management interface to facilitate managers to monitor and adjust.

[0024] Based on the administrator level, regulatory tasks can be formulated through the backend management platform. Obtain the positions of supervisors through the positioning function of mobile terminals, and reasonably allocate tasks to the corresponding supervisors. The specific allocation process is as follows: Obtain the total number of inspections corresponding to the authorized supervisors, as well as the behavior warning value and trajectory warning value for each inspection; sum up all the behavior warning values and trajectory warning values respectively and take the average to obtain the behavior average value and trajectory average value; sort all the behavior warning values in chronological order, calculate the number of behavior warning values with a lower value after sorting being less than those before sorting to obtain the descending value of behavior, select the smallest behavior warning value and mark it as the minimum warning value; perform normalization processing on the total number of inspections, behavior average value, trajectory average value, descending value of behavior, and minimum warning value and take their corresponding numerical values, and mark the numerical values as JC1, XJ2, GJ3, XZ4, and XZ5 in sequence; substitute them into the random assignment analysis model Output the random assignment sequence value RF of the authorized supervisor, where μ1, μ2, μ3, μ4, and μ5 are all preset weight factors; custom-set by those skilled in the art according to actual use, for example, the values are 0.3, 0.2, 0.3, 0.2, 0.1 respectively; the random assignment analysis model is a custom model; assign the supervision task to the authorized supervisor with the largest random assignment sequence value. If the authorized supervisor with the largest value is in the inspection state, then assign the supervision task to the authorized supervisor with the second-largest random assignment sequence value; if the top five authorized supervisors in the ranking are all in the inspection state, then assign the supervision task to the authorized supervisor with the largest random assignment sequence value, and at the same time mark the supervision task as the pending task corresponding to the authorized supervisor with the largest random assignment sequence value.

[0025] Supervisors receive task notifications in real time on the mobile terminal and view the task details and requirements, which are divided into daily supervision inspections and special supervision inspections. The two have different inspection item lists. The daily supervision inspection is a routine inspection carried out every 24 hours, and the special supervision inspection is a targeted in-depth and detailed inspection of specific fields, matters, or activities. Report any discovered violations or safety hazards in a timely manner through the corresponding inspection item list. After the inspection is completed, the inspectors and the inspected institution jointly sign to confirm the inspection results and upload them, and initiate the corresponding processing process.

[0026] The statistical analysis system summarizes and analyzes the testing and inspection institutions and report data, and the specific steps are as follows: The testing and monitoring institution statistically summarizes information such as the establishment time, legal representative, institution address, institution name, institution contact information, and institution qualifications of the testing and inspection institutions and uploads it to the data center. The data center pushes it to the platform through data visualization and dynamic real-time reminders. Similarly, the test report summarizes important link information such as the sampling link, submission link, testing link, testing personnel link, and upload time link of the test report, and dynamically and real-time pushes it to the platform for querying unqualified test reports. The platform summarizes the inspection tasks, including the receipt, execution, and feedback information of the inspection tasks, and automatically statistically counts the number of test reports uploaded by the testing institution on the same day, including the total number of reports, the number of unqualified reports, and the modified reports.

[0027] The result feedback system analyzes various information reports of the obtained inspection and testing institutions and feeds back the results. The specific obtaining process is as follows: Obtain the data of each inspection and testing institution from the database, including but not limited to inspection reports, institutional equipment, and institutional basic information. Extract the obtained key information data, then obtain the corresponding qualified requirements of the regulatory department from the data interface, compare the inspection and testing data with the qualified requirements of the corresponding department, and automatically generate accurate and targeted feedback information according to the analysis results. These feedbacks can be in various forms such as text, charts, and sounds.

[0028] The preferred embodiments of the present invention disclosed above are only used to help illustrate the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to the specific implementation manners. Obviously, many modifications and variations can be made according to the content of this specification. This specification selects and specifically describes these embodiments to better explain the principle and practical application of the present invention, so that those skilled in the art can well understand and utilize the present invention. The present invention is only limited by the claims and their full scope and equivalents.

Claims

1. A smart supervision platform for the inspection and testing industry, including a data center, a mobile supervision system, an electronic enterprise identity authentication system, an inspection and supervision system, a statistical analysis system and a result feedback system; characterized in that: The data center is used to collect and store basic information and report data of the inspection and testing institutions; the mobile supervision system is used for supervisors to conduct on-site inspections and report verifications through mobile devices; The electronic corporate ID card system is used to identify the unique corporate ID number, testing equipment and regulatory barcode of each testing and inspection agency, and trace the data of the testing and inspection agency. It connects to the industry information platform through a data interface to obtain the business information of the testing and inspection agency, and then builds an information archive based on the business information of all testing and inspection agencies. Through the information archive, an electronic corporate identification code is established for each testing and inspection agency. The data interface of the corporate electronic identification code automatically initiates a data synchronization request with the industry information platform and the qualification approval agency to obtain the change information of the testing and inspection agency in real time. The corporate electronic identification code is set to three different update frequencies according to the frequency of information update and the nature of the industry, including the initial stage, adjustment stage and optimization and stabilization stage. In a certain stage, based on the established enterprise electronic identification code, the inspection and testing equipment information is uploaded to the electronic ID card system, and a unique QR code is generated and attached to the inspection and testing equipment. The QR code contains detailed information about the equipment. The QR code is scanned by a mobile phone terminal to read and identify the inspection and testing equipment, and the inspection and testing data obtained from the data acquisition interface are extracted from the inspection and testing data. A unique supervision barcode is generated for each report of the inspection and testing agency, and the report information of the corresponding inspection and testing agency is obtained through the unique supervision barcode; the supervision and inspection system is used to analyze, grade and formulate supervision tasks for authorized supervisors, including an authorized personnel supervision module, a hierarchical supervision module and a supervision and inspection module.

2. According to claim 1, a smart supervision platform for the inspection and testing industry is characterized in that: The interface of the data center is also connected to the system interface of each inspection and testing agency to obtain test data and daily test report data in real time, use the storage service of the data center to store the test data and test report data, and classify and store the collected data; newly acquired test data and daily test report data are monitored in real time, and an alarm is immediately issued when abnormal data is found.

3. According to claim 1, a smart supervision platform for the inspection and testing industry is characterized in that: The specific working process of the mobile supervision system is as follows: after the supervisor arrives at the inspection and testing agency, he collects data on site, uses the camera of the mobile terminal to take pictures of the testing equipment and environment, records and stores the equipment appearance, operating status and environmental conditions, and manually enters key data parameters through the input function of the mobile terminal. The data collected on site is compared with the data in the report one by one to check whether there are any differences or anomalies. Suspicious data or inconsistencies are marked and recorded. The data generated during the supervision process is synchronized and stored in real time. The report verifies the unique supervision barcode of the test report entered or scanned in the system, calls relevant report information, conducts statistical analysis on the data regularly, generates supervision reports and uploads them to the data center.

4. According to claim 1, a smart supervision platform for the inspection and testing industry is characterized in that: The authorized personnel supervision module is used to analyze the authorized supervisors, and the specific process is as follows: Obtain personal information uploaded to the data center by authorized supervisors through mobile terminals; grant authority to authorized supervisors corresponding to department functions and job functions, establish biometric technology, and log in inspection and testing institutions and authorized supervisors to the platform interface through biometric technology to obtain platform operation and management authority corresponding to the title of the authorized supervisor; obtain the location information of authorized supervisors through mobile terminals, and collect the operational behavior data and location trajectory data of authorized supervisors during work, analyze them, and issue early warning signals in a timely manner.

5. According to claim 4, a smart supervision platform for the inspection and testing industry is characterized in that: The specific process of analyzing the operation behavior data and location trajectory data is as follows: Analyze the operational behavior data and motion trajectory data of the authorized supervisor during work, and parse the operational behavior data to obtain the inspection step name and the corresponding inspection duration; match the preset standard step name and the standard duration of each step of the authorized supervisor; compare the inspection step name with the standard step name to obtain the same number of inspection steps in the same order, and divide the same number by the total number of inspection steps to obtain the overlap; count the maximum value of inspection steps in different orders and mark it as the maximum continuous different value, specifically: if there are at most two consecutive differences, the value of the maximum continuous different value is two; if there are at most four consecutive differences, the value of the maximum continuous different value is four; compare the inspection duration corresponding to each inspection step with the corresponding standard duration, and mark the inspection duration that is less than the standard duration as insufficient time. length, calculate the difference between the insufficient duration and the standard duration to obtain the low punctual duration, sum up the values ​​of all the low punctual durations to obtain the low punctual total value; sort all the low punctual durations in order of precedence, count the number of low punctual durations in the front that are lower than the low punctual durations in the back and mark them as time appreciation values; multiply the low punctual total value and the time appreciation value by the corresponding preset weight coefficients respectively and then sum them to obtain the time deviation value, input the overlap, the maximum continuous different value and the time deviation value into the computer, and convert them into lengths according to the preset ratio, construct two circles with the overlap and the length of the time deviation value as the radius, place the centers of the two circles on the same vertical line, and the distance between the two circles is equal to the length corresponding to the maximum continuous different value, then connect the edges of the two circles in sequence, and construct a truncated cone, extract the volume of the truncated cone and mark the value of the volume as the behavior warning value; Analyze the location trajectory data to obtain the location trajectory and the corresponding duration, compare the location path with the set area, count the length and duration of the location trajectory that does not belong to the set area, mark it as an abnormal trajectory and abnormal duration, and divide the length of the abnormal trajectory by the total length of the location trajectory to obtain the abnormal track ratio; normalize the abnormal ratio and the abnormal duration to obtain the trajectory warning value; When the behavior warning value is higher than the set behavior threshold, an inspection abnormality signal will be generated and fed back to the data center and the corresponding authorized supervisor. At the same time, a re-inspection operation reminder will be generated and sent to the corresponding authorized supervisor. When the trajectory warning value is greater than the set trajectory threshold, a deviation from the specified area warning instruction will be generated and fed back to the data center and the corresponding authorized supervisor.

6. According to claim 5, a smart supervision platform for the inspection and testing industry is characterized in that: The hierarchical supervision module is used to evaluate the levels of authorized supervisors, specifically: based on the authorized personnel supervision module, the corresponding platform operation and management authority of the authorized supervisors is obtained, and the platform operation and management authority is divided into senior administrators, intermediate administrators and ordinary administrators; senior administrators have the highest authority at the corresponding level, and conduct information review, interface configuration and distribution of task information; intermediate administrators review, supervise and rectify the monitored inspection and testing institutions; ordinary administrators view relevant information and upload materials; The supervision and inspection module is used to formulate supervision tasks, obtain the location of authorized supervisors through the positioning function of mobile terminals, and assign supervision tasks to corresponding authorized supervisors. Authorized supervisors receive supervision task notifications in real time on mobile terminals and view task details and requirements, including routine supervision and special supervision. Both correspond to corresponding inspection lists. Authorized supervisors conduct inspections based on the inspection lists. After the inspection is completed, the inspectors and the inspected institutions jointly sign to confirm the inspection results and upload them.

7. According to claim 5, a smart supervision platform for the inspection and testing industry is characterized in that: The specific allocation process of allocating the supervision task to the corresponding authorized supervisor is as follows: Obtain the total number of inspections corresponding to the authorized supervisor and the behavior warning value and trajectory warning value of each inspection; sum up all the behavior warning values ​​and trajectory warning values ​​respectively and take the average to obtain the behavior average value and trajectory average value; sort all the behavior warning values ​​in chronological order, calculate the number of behavior warning values ​​in the later order that are less than the behavior warning values ​​in the earlier order to obtain the row drop value, select the smallest behavior warning value and mark it as the smallest warning value; normalize the total number of inspections, behavior average value, trajectory average value, row drop value and minimum warning value and substitute them into the assignment analysis model to output the assignment sequence value of the authorized supervisor; assign the supervision task to the authorized supervisor with the largest assignment sequence value. If the largest authorized supervisor is in the inspection state, assign the supervision task to the authorized supervisor with the second largest assignment sequence value; if the top five authorized supervisors are all in the inspection state, assign the supervision task to the authorized supervisor with the largest assignment sequence value, and mark the supervision task as a pending task corresponding to the authorized supervisor with the largest assignment sequence value.

8. The intelligent supervision platform for the inspection and testing industry according to claim 1 is characterized in that: The specific process of the statistical analysis system summarizing and analyzing the testing and inspection institutions and report data is as follows: statistically summarizing the establishment time, legal representative, institution address, institution name, institution contact information and institution qualification information of the testing and inspection institutions and uploading them to the data center; Summarize and compile the corresponding information of the test report, including sampling, inspection, testing, testing personnel, and upload time, and upload it to the data center; The number of test reports uploaded by the testing agency on the same day is automatically summarized and counted, including the total number of reports, the number of unqualified reports and the number of modified reports.

Images