CN118798860A - A special equipment detection technology management system and method - Google Patents

Abstract

The present invention relates to the technical field of special equipment detection technology management, and discloses a special equipment detection technology management system and method, including an information management module for managing user and equipment information, a task detection module for analyzing and allocating tasks, a detection management module for optimizing detection processes and methods and updating special equipment detection criteria, a compliance management module for managing and storing inspection reports and updating inspection criteria, a safety early warning module for analyzing and monitoring special equipment detection safety, and a report statistics module for generating special equipment inspection reports and analyzing inspection results, thereby realizing the automation and intelligence of special equipment detection result evaluation and analysis.

Description

A special equipment detection technology management system and method

Technical Field

The invention relates to the technical field of special equipment detection technology management, and discloses a special equipment detection technology management system and method.

Background Art

There are still some deficiencies in the development process of the special equipment detection technology management system. Different regions and different types of special equipment may have their own standards and specifications, but the current management system still has differences in standardization. This may lead to insufficient interoperability between systems, making it difficult to achieve cross-regional and cross-system data sharing and collaborative work. There are many types of special equipment, and the detection technologies and equipment involved vary greatly. The management system may be difficult to cover all types of special equipment, or lack compatibility and adaptability on certain types of equipment. The special equipment detection technology management system faces challenges and deficiencies in technical standardization, data quality, cost-effectiveness, and regulatory adaptation during its development, and needs to be continuously improved and perfected in future development.

For example, a Chinese patent with publication number CN115145962A discloses a special equipment inspection and testing report system, including a coordination chip, which is connected to a data review module, an on-site data measurement module, and an on-site related experiment module. The special equipment inspection and testing report system uses the AI recognition module and the manual judgment module in the data review module to review the scanned data information, prevent the missing of the inspection and regulation data information related to the special equipment, and thus improve the rigor when comparing data. The data measured by the on-site measurement sensor group is compared with the three-dimensional model through the AI comparison module, and the data is compared with the standard experiment database through the judgment module, thereby improving the accuracy of on-site data comparison. The inspection efficiency is improved by using AI technology through the on-site related experiment module, and the installation quality of the installation unit is improved by issuing an electronic version of the special equipment inspection and testing report on site.

The above-mentioned patent cannot process huge amounts of data only through AI and chips. The AI recognition module, comparison module or field-related experimental module in the system has insufficient technical maturity or stability issues, which affects the reliability and stability of the system in practical applications. For the inspection and testing data of special equipment involving sensitive information, no strict security protection measures are set during the data collection, transmission and storage process. If there are loopholes or deficiencies in these aspects, it may lead to data leakage or unauthorized data access risks.

Summary of the invention

The purpose of this section is to summarize some aspects of embodiments of the present invention and briefly introduce some preferred embodiments. Some simplifications or omissions may be made in this section and the specification abstract and the invention title of this application to avoid blurring the purpose of this section, the specification abstract and the invention title, and such simplifications or omissions cannot be used to limit the scope of the present invention.

In order to solve the above technical problems, the main purpose of the present invention is to provide a special equipment detection technology management system, including:

An information management module, including a user information unit for managing and storing user information and an equipment information unit for storing and managing special equipment information;

The task detection module includes a task analysis unit for analyzing and planning equipment detection tasks, a detection allocation unit for scheduling and allocating detection tasks and detection criteria, and a task scheduling unit for collecting and processing detection task data;

The detection management module includes a feedback tuning unit for optimizing special equipment detection processes and methods, and a detection technology management unit for managing, deploying and updating special equipment detection technology.

As a preferred solution of a special equipment detection technology management system of the present invention, wherein:

The task analysis unit includes detection task formulation, detection task allocation and resource allocation;

The inspection task is used to formulate a regular inspection plan for special equipment based on the equipment type, usage and special equipment inspection and testing regulations;

The detection task allocation is used to determine the priority of the detection task based on the equipment information and risk assessment;

The detection and deployment unit includes task allocation, scheduling management and real-time adjustment;

The task scheduling unit includes data collection, exception handling and report generation.

As a preferred solution of a special equipment detection technology management system of the present invention, wherein:

Also includes:

The inspection report management unit includes report reception and storage, report analysis and review, report filing and retrieval, and report notification and feedback;

Collect special equipment test results, process the test results, clean up erroneous and redundant data, and establish the special equipment test item result label quantity for special equipment testing. Calculate the positive indicators through the special equipment test item result label quantity for normalization, calculate the weight coefficient of each test result, and evaluate the special equipment test results based on the comprehensive weight coefficient;

The special equipment inspection item result label quantity marks the special equipment inspection items by establishing the label quantity of the inspection items in the special equipment inspection results.

As a preferred solution of a special equipment detection technology management system of the present invention, wherein:

The calculation expression of the label quantity of the special equipment inspection item result is as follows:

in, is the jth test result value of the i-th test item of special equipment testing, This is the first test item for special equipment testing. is the test result value of the first test item of the special equipment test, i is an ordinal number ranging from 1, 2, 3, ..., n, j is an ordinal number ranging from 1, 2, 3, ..., n, and n is an arbitrary positive integer;

By establishing positive indicators, the data of the special equipment inspection item result label quantity of the special equipment inspection is uniformly processed, the jth inspection result value in the i-th inspection item is retrieved, and the extreme value calculation of the n-times inspection results of the special equipment is performed based on the special equipment inspection item;

The forward indicator calculation expression is as follows:

in, is the final result value of the i-th test item in the special equipment test after the positive index is calculated, is the first test result value in the i-th test item, is the minimum value of the jth detection result value in the i-th detection item, The maximum value of the jth test result value in the i-th test item, is the standard value of the j-th test result value in the i-th test item.

As a preferred solution of a special equipment detection technology management system of the present invention, wherein:

The initial weight coefficient is preset by the system, and the initial weight coefficient is trained and updated through weight coefficient calculation. The entropy value is extracted from the label quantity of the special equipment detection item result of the special equipment detection after the positive indicator calculation, and the mean of the entropy value is calculated, so as to obtain the weight coefficient required for updating the initial weight coefficient;

The weight coefficient calculation expression is as follows:

in, is the weight coefficient value of the test result of the i-th test item, M is the total number of special equipment test items, is the entropy value of the final result of the i-th detection item.

As a preferred solution of a special equipment detection technology management system of the present invention, wherein:

The positive indicator calculation expression calculates the special equipment test result, the weight coefficient calculation expression calculates the updated weight coefficient, and the special equipment test result is evaluated by the special equipment test result evaluation calculation expression;

The calculation expression for evaluating the special equipment test results is as follows:

Among them, F is the evaluation of special equipment test results;

Through the evaluation calculation of the special equipment test result, if the test result exceeds the preset threshold, the special equipment test process is updated and optimized through the feedback tuning unit; if the test result does not exceed the threshold, the special equipment test result evaluation is output;

The special equipment parameter monitoring model is used to monitor and predict the special equipment inspection result evaluation in real time, and the loss function is used to fit the prediction accuracy coefficient of the jth result evaluation of the i-th item of special equipment to make real-time adjustments to the feedback and tuning special equipment inspection process.

As a preferred solution of a special equipment detection technology management system of the present invention, wherein:

The feedback tuning unit includes data analysis and feedback, problem identification and resolution, and process optimization;

The detection technology management unit includes technology assessment and update and data selection and deployment;

The feedback tuning unit corrects the evaluation of the special equipment test results by correcting the weight coefficient;

The feedback tuning unit receives the special equipment test result evaluation and updates the special equipment test process. The expression of updating the special equipment process is as follows:

in, To update the special equipment inspection process.

A method for managing special equipment detection technology, wherein:

S1. The user logs in to the special equipment detection technology management system and enters special equipment information through the special equipment detection technology management system;

S2. Special equipment testing technology management system updates special equipment testing technology rules and inspection standards;

S3. The special equipment testing technology management system receives the special equipment information entered by the user and automatically dispatches and allocates testing criteria and testing tasks;

S4. Remotely distribute special equipment inspection tasks and assist users in inspecting and testing special equipment;

S5. The special equipment testing technology management system adjusts and optimizes the special equipment testing process and methods in real time through the special equipment testing process data and test results;

S6. Complete special equipment inspection and generate special equipment inspection report.

A computer device includes: a memory for storing instructions; a processor for executing the instructions, so that the device executes a special equipment detection technology management method.

A computer-readable storage medium stores a computer program, which, when executed, implements a special equipment detection technology management method.

Beneficial effects of the present invention:

The present invention ensures efficient execution and feedback of detection tasks by setting up coordinated work of each unit. The task analysis unit is responsible for formulating detection tasks according to system algorithms and user demand analysis, the detection allocation unit allocates resources and assigns tasks according to the results of task analysis, and the task scheduling unit receives and processes the detection results, feeds back the results to users or other related systems, predicts the special equipment detection results through a neural network model, and timely adjusts and optimizes the detection process, greatly reducing the time for users to detect special equipment, and realizing the automation and intelligence of the evaluation and analysis of special equipment detection results. In addition, the present invention overcomes the problems of data security and the shortcomings of insufficient accuracy and stability of hardware equipment identification and analysis of special equipment detection results.

BRIEF DESCRIPTION OF THE DRAWINGS

In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative labor. Among them:

FIG1 is a system composition diagram of a special equipment detection technology management system of the present invention;

FIG2 is a flow chart of a special equipment detection technology management method of the present invention;

FIG3 is a flow chart of a special equipment detection process of a special equipment detection technology management method of the present invention;

Figure 4 shows the workflow of the special equipment parameter monitoring model.

DETAILED DESCRIPTION

In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the accompanying drawings.

In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The term "in one embodiment" that appears in different places in this specification does not necessarily refer to the same embodiment, nor does it refer to a separate or selective embodiment that is mutually exclusive with other embodiments.

Embodiment 1:

As shown in Figure 1, a special equipment detection technology management system includes:

An information management module, including a user information unit for managing and storing user information and an equipment information unit for storing and managing special equipment information;

Among them, the user information unit includes user identity management, authority management and role management;

Furthermore, user identity management is used to record and manage the identity information, login credentials and permission settings of each user in the system;

Permission management is used to define and assign user operating permissions to ensure that only authorized personnel can access and operate specific functions;

Role management is used to define different user roles and their permissions, making it easier to set permissions and manage user groups in batches.

The equipment information unit includes equipment records, status tracking, and safety information management;

Furthermore, the equipment ledger is used to record detailed information of each special equipment, such as model, manufacturer, safety specifications, maintenance history, etc.;

Status tracking is used to track the operating status and location of special equipment in real time, providing a clear view of equipment in use, under maintenance or waiting to be used;

Security information management is used to store security assessment reports, test data and other relevant security information of the device.

Furthermore, the information management module is mainly used to integrate user and device data from different sources, ensure data consistency and integrity, and update and query in real time, so that users and managers can promptly understand device status and user activities, and ultimately generate user activity reports, device status reports and other management reports to support management decisions and audit needs.

A task detection module, including a task analysis unit for analyzing and planning equipment detection tasks, a detection deployment unit for scheduling and allocating detection tasks and detection criteria, and a task scheduling unit for collecting and processing detection task data;

Among them, the task analysis unit includes detection task formulation, detection task allocation and resource allocation;

Furthermore, the inspection task formulation is used to formulate a regular inspection plan for special equipment based on the equipment type, usage and special equipment inspection and testing regulations;

Inspection task allocation is used to determine the priority of inspection tasks based on equipment information and risk assessment;

Resource allocation is used to plan the required human, time and equipment resources to ensure the smooth execution of the inspection task.

The detection and deployment unit includes task allocation, scheduling management and real-time adjustment;

Furthermore, task allocation is used to assign the prepared inspection plan to the corresponding equipment or operators;

Scheduling management is used to coordinate and arrange the execution time and location of detection tasks to maximize resource utilization;

Real-time adjustment is used to adjust task allocation and scheduling arrangements according to actual conditions, respond to emergencies or optimize execution efficiency.

The task scheduling unit includes data collection, exception handling, and report generation;

Data collection is used to collect and record detailed data of the inspection task, including equipment status, inspection results and any problems found;

Exception handling is used to handle and record detected exceptions and problems, such as equipment damage, safety hazards, etc.

Report generation is used to generate test reports and feedback, providing detailed test results and suggestions to relevant departments or managers;

Through these functions, the task detection module ensures that special equipment receives necessary inspections and maintenance on time to maintain the safety, reliability and compliance of the equipment. This systematic management approach not only improves the operating efficiency of the equipment, but also reduces potential safety risks and maintenance costs.

As shown in FIG3 , a special equipment detection process of a special equipment detection technology management method includes: S101, a user detects special equipment, and automatically assigns special equipment detection criteria and retrieves special equipment detection criteria according to the special equipment model input by the user; S102, the detected special equipment data is uploaded by a remote device, and a feature attribute set is established according to the special equipment data; S103, the feature attribute set is normalized by a positive indicator; S104, according to different special equipment models, the feature weights of the actual detection results of different detection items are calculated for the normalized data; S105, the user's special equipment detection is evaluated by the feature weights of the detection results of different detection items; S106, the evaluation of the detection results of special equipment is monitored and predicted by a convolutional neural network; S107, the results of the user's special equipment detection are output and a detection report is generated;

Furthermore, through the adjustment of criteria, special equipment inspection criteria, technical standards and inspection processes are updated in real time;

Furthermore, through the feedback tuning unit, the special equipment inspection and evaluation is optimized and pruned;

Furthermore, the inspection process of special equipment is optimized based on the results and feedback of data analysis;

The detection management module includes a feedback tuning unit for optimizing the detection process and methods of special equipment, and a detection technology management unit for managing, deploying and updating the detection technology of special equipment;

Among them, the feedback tuning unit includes data analysis and feedback, problem identification and resolution, and process optimization;

Data analysis and feedback are used to collect and analyze data and feedback information generated during equipment testing.

Collect special equipment inspection results, perform data processing on the inspection results, clean up erroneous and redundant data, and establish the special equipment inspection item result label quantity for special equipment inspection. Calculate the positive indicators through the special equipment inspection item result label quantity for normalization, calculate the weight coefficient of each inspection result, and evaluate the special equipment inspection results based on the comprehensive weight coefficient.

The special equipment test item result label quantity is used to mark the special equipment test items by establishing the label quantity of the test items in the special equipment test results;

The calculation expression for the label quantity of special equipment inspection item results is as follows:

in, is the jth test result value of the i-th test item of special equipment testing, This is the first test item for special equipment testing. is the test result value of the first test item of the special equipment test, i is an ordinal number ranging from 1, 2, 3, ..., n, j is an ordinal number ranging from 1, 2, 3, ..., n, and n is an arbitrary positive integer;

The jth test result value of the i-th test item indicates that one test item of the special equipment contains multiple test result values, wherein the i-th value represents the i-th test item among the multiple test items in the special equipment, and the j-th test result indicates the j-th result of the i-th test item test;

is the first result of the first test item, is the second result value of the second test item, is the jth test result value in the i-th test item, is the label quantity of the first detection item, is the first test result value with the first test item label;

By establishing positive indicators, the data of the special equipment inspection item result label quantity of the special equipment inspection is uniformly processed, the jth inspection result value in the i-th inspection item is retrieved, and the extreme value calculation of the n-times inspection results of the special equipment is performed based on the special equipment inspection item;

By calculating the ratio between the difference between the standard value and the minimum value of the jth test result value in the i-th test item and the difference between the maximum value and the minimum value, a positive index is calculated. The positive index reflects the dispersion of the test result. If it is 0, the data is standard. If it is non-zero, it means that the data is biased. The deviation value is calculated through the index item.

The forward indicator calculation expression is as follows:

in, is the final result value of the i-th test item in the special equipment test after the positive index is calculated, is the first test result value in the i-th test item, is the minimum value of the jth detection result value in the i-th detection item, The maximum value of the jth test result value in the i-th test item, is the standard value of the jth test result value in the i-th test item;

The special equipment inspection item result label quantity of the special equipment inspection after the positive indicator calculation retrieves the jth inspection result value in the i-th inspection item;

The initial weight coefficient is preset by the system, and the initial weight coefficient is trained and updated through weight coefficient calculation. The entropy value is extracted from the label quantity of the special equipment detection item result of the special equipment detection after the positive indicator calculation, and the mean of the entropy value is calculated, so as to obtain the weight coefficient required for updating the initial weight coefficient;

The weight coefficient calculation expression is as follows:

in, is the weight coefficient value of the test result of the i-th test item, M is the total number of special equipment test items, is the entropy value of the final result of the i-th detection item;

The positive indicator calculation expression calculates the special equipment test result, the weight coefficient calculation expression calculates the updated weight coefficient, and the special equipment test result is evaluated by the special equipment test result evaluation calculation expression;

The feedback tuning unit corrects the evaluation of the special equipment test results by correcting the weight coefficient;

The calculation expression for evaluating the special equipment test results is as follows:

Among them, F is the evaluation of special equipment test results;

Through the evaluation and calculation of the special equipment test results, if the test results exceed the preset threshold, the special equipment test process is updated and optimized through the feedback tuning unit. If the test results do not exceed the threshold, the special equipment test result evaluation is output.

The feedback tuning unit receives the evaluation of the special equipment test results and updates the special equipment test process. The expression for updating the special equipment process is as follows:

in, To update the special equipment inspection process.

As shown in Figure 4, the workflow of the special equipment parameter monitoring model includes:

S201, receiving the special equipment detection and evaluation results through the input layer, and performing a convolution operation on the special equipment detection and evaluation results;

S202, extracting features of the special equipment detection and evaluation results through the hidden layer, and optimizing the features of the special equipment detection and evaluation results output by the convolution layer through the pooling layer;

S203. Screen the special equipment inspection and evaluation results according to the special equipment inspection indicators and rules;

S204, using the eigenvalues extracted by the hidden layer as the input of the output layer, integrating the special equipment detection results with weighted eigenvalues into a sequence through the fully connected layer, and inputting it into the special equipment parameter monitoring model, thereby completing the prediction of the evaluation of the special equipment detection results;

Furthermore, the special equipment parameter monitoring model is updated through model optimization;

The detection results are monitored and predicted in real time through the special equipment parameter monitoring model. Model optimization is used to train the model and update the parameters of the special equipment parameter monitoring model, including model weights and deviations, so that the minimized loss function converges or even reaches the optimal value.

The special equipment parameter monitoring model is used to monitor and predict the special equipment test result evaluation in real time, and the loss function is used to fit the prediction accuracy coefficient of the test result evaluation of the i-th test item of the special equipment. The feedback and tuning of the special equipment test process is adjusted in real time to achieve intelligent test result evaluation and real-time adjustment of the test process.

Problem identification and resolution is used to identify possible problems and bottlenecks in the testing process and to make suggestions for improvement;

Process optimization is used to optimize the inspection process of special equipment based on the results and feedback of data analysis to improve efficiency and accuracy;

The detection technology management unit includes technology assessment and updating and data selection and deployment;

Technology assessment and update is used to manage and evaluate existing testing technologies to ensure they comply with the latest regulations and technical standards;

Technology selection and deployment is used to select appropriate detection technology according to the type and requirements of special equipment, and to deploy and adjust it;

A compliance management module, including an inspection report inspection unit for managing and storing special equipment inspection reports and an inspection technical rule management unit for managing and updating technical rules and inspection standards;

The inspection report inspection unit includes report reception and storage, report analysis and review, report filing and retrieval, and report notification and feedback;

Report receiving and storage is responsible for receiving, storing and managing inspection reports and inspection sheets of special equipment;

Report analysis and review is used to analyze and review the received inspection reports to ensure their completeness and accuracy;

Report archiving and retrieval is used to archive the approved inspection reports and establish a convenient retrieval system to query historical inspection records at any time;

Report notification and feedback are used to send necessary report notification and feedback to relevant departments or managers to ensure that relevant personnel understand the inspection status of the equipment;

The inspection technical rules management unit includes technical rule updating and management and rule deployment and implementation;

Technical rule updating and management is used to manage and update the inspection technical rules and standards for special equipment to ensure that they comply with the latest regulations and technical requirements;

Rule deployment and implementation are used to select applicable inspection technology rules based on equipment type and usage, and to effectively deploy and implement them in the system.

Safety early warning module, a safety unit used to analyze and monitor the safety of special equipment detection;

Among them, the security early warning module includes security analysis and monitoring, security management and response, and security optimization;

Furthermore, safety analysis and monitoring is used to collect the detection data of special equipment in real time during the detection process. Through data analysis technology, the safety situation in the equipment detection process is analyzed and evaluated, potential safety risks and problems are identified, and the special equipment detection model is set to identify abnormal detection situations and generate safety warnings, such as abnormal equipment operation, abnormal detection data, etc.;

The test data includes equipment operating status, test results, etc.

A report statistics module, including a report generation unit for generating a special equipment inspection report and a data source analysis unit for analyzing special equipment inspection results;

The report generation unit is used to generate special equipment inspection reports and present the inspection results in the form of reports for easy management and review. Different types of inspection report formats are defined, including tables, charts, statistical charts, etc. The inspection data of special equipment is filled into the corresponding report format, which allows users to select specific data fields and display methods as needed to customize the report content and automatically generate reports. The latest inspection report is generated according to the preset time or event trigger.

The data source analysis unit is used to display the data source of the special equipment inspection results after analysis. Through data mining and big data models, it helps users to have a deeper understanding of the information and trends behind the inspection data.

Data mining is used to identify and report anomalies or abnormal patterns in special equipment inspection results, helping to detect potential problems early;

Big data models are used to extract, aggregate and filter information from stored inspection data, analyze historical data of special equipment inspections, and identify possible trends and changes, such as improvement or deterioration of equipment performance.

The analysis results are intuitively displayed in the form of charts, statistical graphs, etc., helping users quickly understand the meaning behind the data.

Embodiment 2:

As shown in FIG2 , a special equipment detection technology management method includes:

S1. The user logs in to the special equipment detection technology management system and enters special equipment information through the special equipment detection technology management system;

S2. Special equipment testing technology management system updates special equipment testing technology rules and inspection standards;

S3. The special equipment testing technology management system receives the special equipment information entered by the user and automatically dispatches and allocates testing criteria and testing tasks;

S4. Remotely distribute special equipment inspection tasks and assist users in inspecting and testing special equipment;

S5. The special equipment testing technology management system adjusts and optimizes the special equipment testing process and methods in real time through the special equipment testing process data and test results;

S6. Complete special equipment inspection and generate special equipment inspection report.

Importantly, it should be noted that the construction and arrangement of the present application shown in a plurality of different exemplary embodiments are only exemplary. Although only two embodiments are described in detail in this disclosure, it should be readily understood by those who refer to this disclosure that many modifications are possible, for example, the size, scale, structure, shape and ratio of various elements, and parameter values (e.g., temperature, pressure, etc.), installation arrangement, use of materials, color, directional changes, etc., without substantially departing from the novel teachings and advantages of the subject matter described in the application. For example, the element shown as integrally formed can be composed of multiple parts or elements, the position of the element can be inverted or otherwise changed, and the nature or number or position of the discrete element can be changed or changed. Therefore, all such modifications are intended to be included in the scope of the present invention. The order or sequence of any process or method steps can be changed or reordered according to alternative embodiments. Any "device plus function" clause is intended to cover the structure of the execution function described in this article, and is not only structurally equivalent but also equivalent structure. Without departing from the scope of the present invention, other replacements, modifications, changes and omissions can be made in the design, operating conditions and arrangement of the exemplary embodiment. Therefore, the invention is not limited to a specific embodiment, but extends to numerous modifications still falling within the scope of the appended claims.

Additionally, in order to provide a concise description of exemplary embodiments, all features of an actual embodiment may not be described (ie, those features that are not relevant to the best mode presently contemplated for carrying out the invention or those features that are not relevant to implementing the invention).

It should be understood that in the development of any actual implementation, as in any engineering or design project, numerous implementation-specific decisions may be made. Such a development effort may be complex and time-consuming, but for those of ordinary skill having the benefit of this disclosure, the development effort will be a routine task of design, fabrication, and production without undue experimentation.

It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims (10)

1. A special equipment detection technology management system is characterized in that: comprising the following steps:

The information management module comprises a user information unit for managing and storing user information and a device information unit for storing and managing special device information;

The task detection module comprises a task analysis unit for analyzing and planning detection tasks of equipment, a detection allocation unit for dispatching and distributing the detection tasks and detection criteria, and a task dispatching unit for collecting and processing detection task data;

the detection management module comprises a feedback optimizing unit for optimizing the detection flow and method of the special equipment and a detection technology management unit for managing, deploying and updating the detection technology of the special equipment.

2. The special equipment detection technology management system according to claim 1, wherein:

the task analysis unit comprises detection task formulation, detection task allocation and resource allocation;

the detection task is formulated to be used for formulating a periodic detection plan of the special equipment according to the equipment type, the service condition and the special equipment detection and inspection rule;

The detection task is distributed to determine the priority of the detection task according to the equipment information and the risk assessment;

the detection allocation unit comprises task allocation, scheduling management and real-time adjustment;

The task scheduling unit includes data collection, exception handling, and report generation.

3. The special equipment detection technology management system according to claim 2, wherein: further comprises:

The inspection report management unit comprises report receiving and storing, report analyzing and examining, report archiving and retrieving and report notifying and feeding back;

Collecting special equipment detection results, performing data processing on the detection results, cleaning error and redundant data, establishing the special equipment detection item result label quantity of the special equipment detection, performing normalization processing on forward indexes by calculating the special equipment detection item result label quantity, calculating weight coefficients of all detection results, and evaluating the special equipment detection results by comprehensive weight coefficients;

and the label quantity of the result of the special equipment detection item marks the special equipment detection item by establishing the label quantity of the detection item in the special equipment detection result.

4. A special equipment detection technology management system according to claim 3, wherein:

The special equipment detection item result label quantity calculation expression is as follows:

；

Wherein, The j-th detection result of the i-th detection item is detected for the special equipment,The first detection item is detected for the special device,Detecting a detection result value of a first detection item for special equipment, wherein i is ordinal number 1,2,3, … …, n, j is ordinal number 1,2,3, … …, n, n is any positive integer;

Carrying out data unified processing on the result label quantity of the special equipment detection item detected by the special equipment by establishing a forward index, calling the j detection result value in the i detection item, using the special equipment detection item as a data base, and calculating the extreme value of the n detection results of the special equipment;

The forward index calculation expression is as follows:

；

Wherein, The final result value of the i-th detection item in the special equipment detection after the forward index calculation,For the first test result value in the ith test item,Is the minimum value of the j-th detection result value in the i-th detection item,The maximum value of the j-th detection result value in the i-th detection item,Is the standard value of the j-th detection result value in the i-th detection item.

5. The special equipment detection technology management system according to claim 4, wherein:

The method comprises the steps that an initial weight coefficient is preset by a system, training and updating are carried out on the initial weight coefficient through weight coefficient calculation, an entropy value is extracted through the special equipment detection item result label quantity detected by special equipment after forward direction index calculation, and the average value of the entropy value is calculated, so that the weight coefficient required for updating the initial weight coefficient is obtained;

the weight coefficient calculation expression is as follows:

；

Wherein, The weight coefficient value of the detection result is the i-th detection item, M is the total number of detection items of special equipment,The entropy value of the final result of the i-th detection item.

6. The special equipment detection technology management system according to claim 5, wherein:

The forward index calculation expression calculates a special equipment detection result, the weight coefficient calculation expression calculates an updated weight coefficient, and the special equipment detection result is evaluated through the special equipment detection result evaluation calculation expression;

The special equipment detection result evaluation calculation expression is as follows:

；

F is the evaluation of the detection result of the special equipment;

The special equipment detection result evaluation calculation is carried out, if the detection result exceeds a preset threshold value, the special equipment detection flow is updated and optimized through a feedback optimization unit, and if the detection result does not exceed the threshold value, the special equipment detection result evaluation is output;

And carrying out real-time monitoring and prediction on the detection result evaluation of the special equipment through the special equipment parameter monitoring model, fitting a prediction accuracy coefficient of the detection result evaluation of the ith detection item of the special equipment through a loss function, and carrying out real-time adjustment on the detection flow of the feedback-tuning special equipment.

7. The special equipment detection technology management system according to claim 6, wherein:

The feedback optimizing unit comprises data analysis and feedback, problem identification and solution and flow optimization;

the detection technology management unit comprises technology evaluation, updating, data selection and deployment;

The feedback optimization unit corrects the detection result evaluation of the special equipment through correcting the weight coefficient;

the feedback optimization unit receives the detection result evaluation of the special equipment, updates the detection flow of the special equipment, and updates the flow expression of the special equipment as follows:

；

Wherein, To update the detection flow of special equipment.

8. A special equipment detection technology management method for implementing the special equipment detection technology management system as set forth in any one of claims 1 to 7, characterized in that: comprising the steps of (a) a step of,

S1, a user logs in a special equipment detection technology management system, and special equipment information is logged in through the special equipment detection technology management system;

S2, a special equipment detection technology management system updates special equipment detection technology rules and inspection standards;

s3, the special equipment detection technology management system receives special equipment information input by a user, and automatically schedules and distributes detection criteria and detection tasks;

S4, remote allocation of special equipment detection tasks and assistance of a user to detect and test the special equipment;

s5, the special equipment detection technology management system adjusts and optimizes the special equipment detection flow and method in real time through the special equipment detection process data and detection results;

s6, finishing special equipment detection and generating a special equipment inspection report.

9. A computer device, characterized by: comprising the following steps:

a memory for storing instructions;

a processor configured to execute the instructions, and cause the device to perform a special device detection technology management method as set forth in claim 8.

10. A computer-readable storage medium having stored thereon a computer program, characterized by: the computer program, when executed, implements a special equipment detection technique management method as set forth in claim 8.