Maritime work industry ITR field tracking management system and method

Abstract

The invention discloses a maritime work industry ITR field tracking management system and method. The maritime work industry ITR field tracking management system comprises a cloud server, a communication module and a plurality of local clients. Wherein the cloud server is used for storing background management of a new check task created by the client, item information, check task information, a task execution result and various related information of the check list client; the communication module is used for realizing communication between the cloud server and a local client; and the local client further comprises a task creation module, a task management module, a task execution module, a task inspection module and an inspection service module. Compared with the prior art, the method can achieve the electronic efficient management of the ITR field tracking in the maritime work industry.

Description

Technical Field

[0001] The present invention relates to the field of offshore engineering information management, and in particular to an offshore engineering ITR on-site tracking management system and method. Background Art

[0002] Inspection Test Record (ITR) refers to the information and data recorded during the inspection and testing of products or projects. These records usually include the time, location, inspector, inspection method, inspection results, etc. The purpose of inspection and test records is to ensure that product quality meets standards, find and solve problems in a timely manner, and ensure quality control of the production process. Record the specific content of inspection and testing, record test results, record test date and tester, ensure inspection quality, and save, review and manage.

[0003] In the quality control of the offshore industry, the management of ITR (Inspection Test Record) is a key factor in ensuring the safe and efficient operation of offshore projects. As a document that records the inspection and test results, ITR is an important evidence for monitoring project quality and compliance, and is essential to ensure that the project is completed according to the predetermined standards. In the traditional quality control process, the management of these records and lists often uses paper records and table statistics, but this method has obvious disadvantages. Paper records are not only inefficient in transmission, but also have untimely data updates, and there is a risk that records are easily lost or damaged. These problems will lead to information delays in quality control, affect the timeliness and accuracy of decision-making, and bring challenges to the quality assurance of offshore projects.

[0004] Statistical ITR progress by frequently holding meetings and using email communication is a traditional management method. However, in a rapidly changing modern work environment, this approach is less efficient and has several significant drawbacks. First, the communication efficiency is low. Frequent meetings and email exchanges not only consume time but may also lead to delays in information transmission, making it impossible to respond promptly to environmental changes. Second, a large amount of human resources are consumed in data collation and updating. This not only occupies employees' valuable working time but also reduces the overall work efficiency, preventing human resources from being more effectively allocated to other key tasks. In addition, since data updates are manual, the timeliness of information is poor, making it difficult for management and team members to grasp the latest progress of the project and the status of problem-solving, thus affecting the timeliness of project management and decision-making. Moreover, information between different departments is often isolated, lacking an effective sharing and collaboration mechanism, resulting in inefficient resource reuse and collaboration. Finally, the method of manually recording and summarizing data is prone to errors and omissions, and these problems may spread during the decision-making process, affecting the accuracy of decisions. In summary, the traditional meeting-based statistical method can no longer meet the needs of modern work. Therefore, it is urgent to introduce advanced project management tools, such as automated tracking systems and collaboration platforms, to improve communication efficiency, optimize the utilization of human resources, enhance timeliness, break information silos, and reduce the risk of errors, so as to better adapt to the fast-paced work requirements and improve the overall work efficiency and project management quality. Summary of the Invention

[0005] Aiming at the technical defects of inspectors manually searching for standard specifications, relying on personal experience for judgment, low efficiency and easy errors, the present invention aims to improve the management level of ocean engineering and proposes an ITR on-site tracking management system and method for the marine engineering industry, which realizes modern and efficient information management of inspection and test records by using a computer platform and technology and provides electronic information services.

[0006] To solve the above technical problems, the technical solutions adopted by the present invention are as follows:

[0007] In a first aspect, the present invention proposes an ITR on-site tracking management system for the offshore industry. The system includes a cloud server, a communication module, and multiple local clients. Among them, the cloud server is used for the background management of saving various relevant information of the client, such as creating new inspection tasks, project information, inspection task information, task execution results, and assessment lists. The communication module is used to realize the communication between the cloud server and the local clients. The local client further includes a task creation module, a task management module, a task execution module, a task inspection module, and an ITR service module. The task creation module is used for the completion center to create new inspection tasks on the client according to the project inspection requirements and fill in relevant basic information, including project information and inspection task information. The task management module dynamically associates project information, inspection task information, and their related resources to construct an associated data model, uses the associated data model to automatically identify the resources, personnel, and time arrangements required for inspection tasks, and makes optimal allocation according to the project progress and project priority. The task execution module is used for allocating inspection personnel, providing task status feedback, and reporting inspection tasks. The task inspection module is used to inspect the task execution results based on a retrieval-enhanced model, realizing intelligent comparison and dynamic response of the inspection results with the standard specifications. The ITR service module is used to display the problems responsible for by the logged-in personnel according to the logged-in personnel information. Managers can track problem points and / or incident points on the ITR on-site tracking management system, set the execution completion date, and evaluate the execution effect. It provides inspection personnel to find the corresponding problem points and incident points on the ITR on-site tracking management system and execute relevant tasks.

[0008] In some embodiments, the system further includes a login module and a role management module, and the login module and the role management module are set on the cloud server and / or the local client.

[0009] In some embodiments, the project information includes, but is not limited to, projects, modules, systems, and subsystems; and the inspection task information includes Tag numbers, Tag descriptions, ITR numbers, ITR descriptions, and relevant inspection requirements.

[0010] In some embodiments, the task inspection module further includes the following processes:

[0011] Input actual inspection data into the system;

[0012] Extract relevant key information from the current inspection data through the NLP algorithm and perform similarity retrieval with the standard specifications in the vectorized knowledge base; adopt a multi-way retrieval and recall strategy to retrieve relevant standards. The retrieval and recall strategy includes retrieval and recall method one and retrieval and recall two. Specifically, retrieval and recall method one is to extract relevant key information from the current inspection data through the NLP algorithm and perform similarity retrieval with the standard specifications in the vectorized knowledge base; retrieval and recall method two is to perform similarity retrieval between the current inspection data and the historical inspection record Q&A knowledge base to find similar historical inspection cases.

[0013] Perform ReRank rearrangement on the results of multi-way retrieval and recall: Specifically, it includes scoring the similarity of the retrieved standard specifications and historical inspection records according to the priority, sorting the results based on the similarity scores, and discarding the content with a similarity lower than the threshold.

[0014] Perform intelligent comparison and dynamic response, specifically including: comparison method one is standard specification comparison, that is, compare the current inspection result with the retrieved standard specifications to determine whether it meets the requirements; if it meets the standard, generate a confirmation report and attach the relevant standard basis; if there are deviations, generate a detailed analysis report indicating the specific location and possible reasons for the deviations; comparison method two is historical inspection record comparison, that is, judge whether there are similar problems in the current inspection based on whether the historical inspection records passed; if there are similar problems in the historical records, generate suggestions by referring to their rectification plans.

[0015] Generate feedback and rectification plans, specifically including generating targeted feedback and rectification plans by combining standard specifications and historical inspection records.

[0016] Perform task inspection result storage and knowledge base update, that is, store the input data and output results of the current inspection in the historical inspection record Q&A knowledge base and update the knowledge base.

[0017] In some embodiments, the task execution module further includes performing the following processing:

[0018] Conduct inspection personnel assignment, specifically including, after receiving a newly created inspection task, according to the actual on-site work arrangement, distributing the newly created inspection task to inspection personnel. The personnel assignment module calls the corresponding execution module, and the execution module sends an execution task instruction to the inspection personnel responsible for the inspection task and specifies the planned time; conduct task status feedback, specifically including that after receiving the inspection task, the inspection personnel judge the problem according to the actual on-site situation, distribute the executable tasks to sub-inspection personnel, and mark the reasons for non-execution in the system for non-executable tasks and track them regularly; conduct task inspection reporting, specifically including that after the sub-inspection personnel complete the inspection task, they report the relevant tasks to the quality inspection personnel in the system. The task execution results include relevant supporting documents, and the supporting documents include inspection items with execution statuses of completed and responsive.

[0019] In a second aspect, the present invention proposes an ITR on-site tracking management method for the offshore industry, including:

[0020] S1. Create a new inspection task. The completion center creates a new inspection task on the client according to the project inspection requirements.

[0021] S2. Conduct in-system task inspection. Based on a retrieval-augmented model, inspect the task execution results to achieve intelligent comparison and dynamic response of the inspection results with the standard specifications.

[0022] S3. Provide ITR services, specifically including that the quality inspection personnel click on the received inspection report content in the system and conduct inspections, mark the inspections as qualified for qualified content, and reject the unqualified content back to the sub-responsible person for rectification and resubmit for inspection; and conduct statistical assessment, specifically including that the ITR on-site tracking management system regularly conducts statistical assessment on the progress during task execution and summarizes it into an assessment list.

[0023] In some embodiments, step S2 specifically includes:

[0024] S2.1. Conduct inspection personnel assignment, specifically including, after receiving a newly created inspection task, according to the actual on-site work arrangement, distributing the newly created inspection task to inspection personnel. The personnel assignment module calls the corresponding execution module, and the execution module sends an execution task instruction to the inspection personnel responsible for the inspection task and specifies the planned time.

[0025] S2.2. Conduct task status feedback, specifically including that after receiving the inspection task, the inspection personnel judge the problem according to the actual on-site situation, distribute the executable tasks to sub-inspection personnel, and mark the reasons for non-execution in the system for non-executable tasks and track them regularly.

[0026] S2.3. Conduct task inspection and reporting, specifically including that after the sub-responsible person receives the task assigned to themselves in the system, they carry out construction on-site according to the specified requirements. After the construction and self-inspection are completed, they submit the relevant tasks to the quality inspection personnel in the system for inspection, and at the same time upload relevant files required for inspection such as RFI. After the sub-inspection personnel complete the inspection task, they report the relevant tasks to the quality inspection personnel in the system, along with the relevant supporting documents.

[0027] In some embodiments, the task inspection and reporting in step S2.3 further includes the following processing:

[0028] Input actual inspection data into the system;

[0029] Extract relevant key information from the current inspection data through the NLP algorithm and perform similarity retrieval with the standard specifications in the vectorized knowledge base; adopt a multi-way retrieval and recall strategy to retrieve relevant standards, and the retrieval and recall methods include retrieval and recall method one and retrieval and recall method two: Retrieval and recall method one is standard specification retrieval, that is, extract relevant key information from the current inspection data through the NLP algorithm and perform similarity retrieval with the standard specifications in the vectorized knowledge base; Retrieval and recall method two is historical inspection record retrieval, that is, perform similarity retrieval between the current inspection data and the historical inspection record Q&A knowledge base to find similar historical inspection cases;

[0030] Perform ReRank rearrangement on the results of multi-way retrieval and recall, specifically including scoring the similarity of the retrieved standard specifications and historical inspection records according to the priority, sorting the results based on the similarity score, and discarding the content with a similarity lower than the threshold;

[0031] Perform intelligent comparison and dynamic response, specifically including comparing the current inspection results with the retrieved standard specifications to determine whether they meet the requirements; if they meet the standards, generate a confirmation report and attach the relevant standard basis; if there are deviations, generate a detailed analysis report indicating the specific location and possible reasons for the deviations; judge whether there are similar problems in the current inspection based on whether the historical inspection records pass; if there are similar problems in the historical records, generate suggestions by referring to their rectification plans;

[0032] Generate feedback and rectification plans, specifically including generating targeted feedback and rectification plans by combining standard specifications and historical inspection records;

[0033] Perform task inspection result storage and knowledge base update, that is, store the input data and output results of the current inspection in the historical inspection record Q&A knowledge base, and update the knowledge base.

[0034] Compared with the traditional manual tracking and management method, the beneficial effects and advantages of the present invention are as follows:

[0035] The present invention realizes the efficient electronic management of on-site tracking of ITR in the offshore engineering industry. Through the RAG technology, the deep integration between information and data is achieved, effectively optimizing the execution process of inspection tasks. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Figure 1 It is a schematic diagram of the architecture of an on-site tracking management system for ITR in the offshore engineering industry of the present invention;

[0037] Figure 2 It is a block diagram of the modules included in the local client;

[0038] Figure 3 It is a schematic diagram of the overall process of an on-site tracking method for ITR in the offshore engineering industry of the present invention;

[0039] Figure 4 It is a schematic diagram of the specific process of executing the inspection task. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0040] The present invention will be further described in detail below with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0041] Embodiment 1. The on-site tracking management system for ITR in the offshore engineering industry of the present invention includes a cloud server 10, a communication module 20, and a plurality of local clients 30.

[0042] The cloud server is used for the background management of saving various relevant information of the client, such as creating new inspection tasks, project information, inspection task information, task execution results, and assessment lists.

[0043] The communication module is used to realize the wired or wireless communication between the cloud server and the local client.

[0044] The local client 30 further includes a task creation module 100, a task management module 200, a task execution module 300, a task inspection module 400, and an ITR service module 500, where:

[0045] The task creation module 100 is used for the completion center to create a new inspection task on the client according to the project inspection requirements and fill in relevant basic information, including project information and inspection task information; including but not limited to information such as project, module, system, subsystem, Tag number, Tag description, ITR number, ITR description, relevant inspection requirements, etc.

[0046] The described task management module 200 dynamically associates project information, inspection task information, and their related resources to construct an associated data model. It uses the associated data model to automatically identify the resources, personnel, and time arrangements required for inspection tasks, and performs optimal task allocation according to the project progress and project priority settings. By analyzing the dependencies between tasks, it predicts potential bottlenecks and conflicts and issues early warnings and optimizations. For example, if a task may be delayed due to resource conflicts, the system will automatically notify the completion center and provide feasible adjustment plans, such as reallocating resources or adjusting the task order. In this way, the completion center can ensure that all work processes and details are properly handled and optimized before the project is completed based on the real-time data and intelligent suggestions of the system.

[0047] The described task execution module 300 is used for inspecting personnel allocation, task status feedback, and task inspection submission. Specifically, for inspecting personnel allocation, it includes, after receiving a newly created inspection task, distributing the newly created inspection task to inspectors according to the actual on-site work arrangement. The personnel allocation module calls the corresponding execution module, and the execution module sends an execution task instruction to the inspector responsible for the inspection task and specifies the planned time. For task status feedback, it includes that after receiving the inspection task, the inspector judges the problem according to the actual on-site situation, distributes the executable tasks to sub-inspectors, and marks the reasons for non-executability in the system and tracks them regularly for non-executable tasks. For task inspection submission, it includes that after the sub-inspector completes the inspection task, submits the relevant tasks to the quality inspector in the system, and the task execution result includes relevant supporting documents, and the supporting documents include inspection items with execution statuses of completed and responded.

[0048] The described task inspection module 400 inspects the task execution results based on the Retrieval-Augmented Generation (RAG) model, marks the qualified content as inspected and qualified, and rejects the unqualified content back to the sub-responsible person for rectification and then resubmits it for inspection. Also, it conducts statistical assessment, specifically including that the ITR on-site tracking management system regularly conducts statistical assessment on the progress during task execution and summarizes and collates it into an assessment list. The execution process of inspecting the task execution results based on the Retrieval-Augmented Generation (RAG) model specifically includes:

[0049] Construct a knowledge base containing various ITR standard specifications, inspection standards, and related technical materials. The specific description is as follows: 1) Vectorize the knowledge base, that is, convert standard specifications such as countries, specialties, and projects into vector representations; for each standard specification in the knowledge base, summarize the theme and keywords of each block through a large model for indexing to facilitate subsequent retrieval; construct a historical inspection record Q&A knowledge base, that is, structurally store historical inspection records (including inspection results, pass or fail, rectification plans, etc.); perform vectorization processing on historical inspection records to facilitate similarity matching with the current inspection results.

[0050] Based on the Retrieval-Augmented Generation (RAG) model, the actual inspection data obtained after the inspector performs the task inspection is compared with the relevant standards in the knowledge base; the information most relevant to the current inspection result is retrieved from the knowledge base, such as the corresponding standard clauses, historical inspection cases, and handling suggestions, etc. Subsequently, targeted feedback and guidance are generated by combining the retrieved information. For example: if the inspection result meets the standard, the system will generate a confirmation report and provide the relevant standard basis for the inspector to file. If there are deviations in the inspection result, the system will generate a detailed analysis report in real time, pointing out the specific location of the deviation, the possible reasons, and providing corresponding handling suggestions. The system can also retrieve the solutions of similar cases for the inspector to refer to.

[0051] The ITR service module 500 is used to display the problems responsible for by the person based on the logged-in person information. The manager can track the problem points and / or item points on the ITR on-site tracking management system, set the execution completion date, evaluate the execution effect, and enable the inspector to find the problem points and / or item points corresponding to himself on the ITR on-site tracking management system and perform relevant tasks.

[0052] The said inspector and sub-inspector communicate through the ITR on-site tracking management system installed on their respective mobile devices.

[0053] The system also includes a login module and a role management module. Specifically, the login module and the role management module can be set on the cloud server and / or the local client.

[0054] The said role management module is used to manage the role definitions and modifications of inspectors, sub-inspectors, and quality inspectors.

[0055] The said login module is used to display the inspection tasks responsible for by the inspector based on the logged-in person information.

[0056] Embodiment 2. The ITR on-site tracking management method for the offshore engineering industry of the present invention

[0057] As Figure 2 shown, the overall process of the ITR on-site tracking management method for the offshore engineering industry of the present invention specifically includes the following steps:

[0058] S1. Create a new inspection task, which specifically includes that the completion center creates a new inspection task on the client according to the project inspection requirements and fills in the relevant basic information including project information and inspection task information; the completion center ensures that all work processes and details of each inspection task or project are properly handled and optimized before completion;

[0059] S2. Conduct task inspections within the system, which specifically includes the following steps:

[0060] S2.1. Allocate inspectors, which specifically includes, after receiving a newly created inspection task, distributing the newly created inspection task to inspectors according to the actual on-site work arrangement. The personnel allocation module calls the corresponding execution module, and the execution module sends an execution task instruction to the inspector responsible for the inspection task and specifies the planned time;

[0061] S2.2. Provide task status feedback, which specifically includes that after receiving the inspection task, the inspector judges the problem according to the actual on-site situation, distributes the executable tasks to sub-inspectors, and marks the reasons for non-executability in the system for non-executable tasks and tracks them regularly;

[0062] S2.3. Submit tasks for inspection, which specifically includes that after the sub-responsible person receives the task assigned to himself in the system, constructs according to the specified requirements on-site. After construction and self-inspection are completed, submit the relevant tasks in the system to the quality inspection personnel for inspection, and upload relevant files required for inspection such as RFI at the same time. After the sub-inspector completes the inspection task, report the relevant tasks to the quality inspection personnel in the system and attach relevant supporting documents; the specific handling is as follows:

[0063] S2.3.1. Input inspection data: After the inspector completes a certain inspection step, input the actual inspection data into the system. The system preprocesses the input data and extracts key features (such as inspection items, parameters, results, etc.);

[0064] S2.3.2. Extract relevant key information from the current inspection data through the NLP algorithm and perform similarity retrieval with the standard specifications in the vectorized knowledge base; adopt a multi-channel retrieval and recall strategy to retrieve relevant standards from dimensions such as country, specialty, and project respectively; the retrieval and recall methods include retrieval and recall method one and retrieval and recall method two: retrieval and recall method one is standard specification retrieval, that is, extract relevant key information from the current inspection data through the NLP algorithm and perform similarity retrieval with the standard specifications in the vectorized knowledge base; retrieval and recall method two is historical inspection record retrieval, that is, perform similarity retrieval between the current inspection data and the historical inspection record Q&A knowledge base to find similar historical inspection cases;

[0065] S2.3.3. ReRank the results of multi-channel retrieval and recall: Specifically include: taking country, specialty, and project, etc. as priorities, score the similarity of the retrieved standard specifications and historical inspection records, sort the results according to the similarity scores, and discard the content with similarity lower than the threshold;

[0066] S2.3.4. Conduct intelligent comparison and dynamic response, specifically including: The first comparison method is standard specification comparison, that is, comparing the current inspection results with the retrieved standard specifications to determine whether they meet the requirements; if they meet the standards, generate a confirmation report and attach the relevant standard basis; if there are deviations, generate a detailed analysis report indicating the specific locations and possible causes of the deviations; The second comparison method is historical inspection record comparison, that is, judging whether there are similar problems in the current inspection based on whether the historical inspection records passed; if there are similar problems in the historical records, generate suggestions by referring to their rectification plans.

[0067] S2.3.5. Generate feedback and rectification plans, specifically including generating targeted feedback and rectification plans by combining standard specifications and historical inspection records. Among them, the feedback content includes whether the current inspection results meet the standards, the specific description and possible causes of the deviations, the rectification suggestions referring to historical cases, and the detailed description of relevant standard clauses.

[0068] S2.3.5. Store the task inspection results and update the knowledge base, that is, store the input data and output results (including inspection reports, rectification plans, etc.) of the current inspection into the historical inspection record Q&A knowledge base, and update the knowledge base for subsequent project reference.

[0069] S3. Provide ITR services, specifically including quality inspection personnel clicking on the reported inspection content received in the system and conducting inspections, marking the qualified content as inspected and passing, and rejecting the unqualified content back to the sub-responsible person for rectification and resubmitting the reported inspection; and, conduct statistical assessment, specifically including the ITR on-site tracking management system regularly conducting statistical assessments on the progress during the task execution and summarizing and sorting them into an assessment list.

[0070] The present invention further includes system optimization and adaptive learning, and dynamic update of the knowledge base: regularly add the newly added standard specifications and historical inspection records to the knowledge base and re-vectorize them. Model optimization: Optimize the multi-channel retrieval recall and ReRank models according to user feedback and actual usage conditions to improve the retrieval accuracy. Adaptive learning: During the interaction process, the system automatically learns user preferences and common problems to improve the accuracy and practicality of the feedback.

[0071] Specific embodiment: Assume that the current inspection task is "steel structure weld inspection of a certain project":

[0072] Input: The inspector inputs the weld inspection results (such as weld width, defect type, etc.).

[0073] Retrieval and Recall: Retrieve relevant national standards (domestic projects refer to national standards) and professional standards (structural professional welding process specifications) from the vectorized knowledge base. After combination, it is found that GB 50205 "Code for Acceptance of Construction Quality of Steel Structure Engineering" has a relatively high similarity with the problem. Retrieve cases of similar weld defects from historical inspection records.

[0074] Re-ranking: According to the project priority, arrange the relevant content in GB 50205 in the front and refer to historical cases.

[0075] Comparison: It is found that the current weld width does not meet the requirements of GB 50205. There are similar problems in the historical records, and the rectification plan is "re-weld and strengthen inspection".

[0076] Feedback: Generate a report: The current weld width does not meet the standard, with a deviation of X mm. The possible reason is improper welding parameters.

[0077] Rectification Suggestion: Refer to historical cases, re-weld and strengthen inspection.

[0078] Storage: Store the results of this inspection and the rectification plan in the Q&A knowledge base of historical inspection records.

[0079] In summary, in the task inspection process based on the Retrieval-Augmented Generation (RAG) model designed in a marine industry ITR on-site tracking management system and method of the present invention, which is different from traditional manual comparison and static process management, has the following innovation points:

[0080] 1) Use multiple knowledge bases to process standards and historical data respectively, providing an efficient data management foundation for the present invention; the system utilizes the rich information in the knowledge base to provide intelligent decision-making support for inspectors, reducing the dependence on personal experience, improving the inspection quality and efficiency, and realizing intelligent decision-making support;

[0081] 2) Based on the Retrieval-Augmented Generation (RAG) model, information retrieval related to task inspection results is realized. When further using ReRank for re-ranking, the similarity matching is not only a direct match, but is pre-processed through dimensions such as country, profession, and project, and only the results within the range will participate in the similarity matching to ensure accuracy. During retrieval, multi-way retrieval and recall are performed, enabling the system to obtain the most relevant standard information in real time and generate customized feedback in combination with actual inspection data, realizing dynamic information fusion;

[0082] 4) During the interaction process of the system, the knowledge base is continuously updated and expanded, such as newly added inspection cases and solutions, etc., making the feedback of the system more accurate and perfect to achieve system adaptive learning;

[0083] 5) After introducing the RAG technology, the system automatically completes information retrieval and comparison, provides immediate and accurate feedback, and significantly improves the efficiency and accuracy of the inspection work.

Claims

1. An ITR on-site tracking management system for the offshore industry, characterized in that: The system includes a cloud server, a communication module and multiple local clients; wherein the cloud server is used to store the client's creation of new inspection tasks, project information and inspection task information, task execution results and various related information of the assessment list client for background management; the communication module is used to realize the communication between the cloud server and the local client; the local client further includes a task creation module, a task management module, a task execution module, a task inspection module and an inspection service module, wherein the task creation module is used for the completion center to create a new inspection task on the client according to the project inspection requirements and fill in the relevant basic information including the project information and the inspection task information; the task management module dynamically associates the project information, the inspection task information and the related resources of the two to construct an associated database According to the model, the associated data model is used to automatically identify the resources, personnel and time arrangements required for the inspection task, and optimally allocate them according to the project progress and project priority; the task execution module is used to allocate inspection personnel, feedback on task status and report task inspection; the task inspection module verifies the task execution results based on the retrieval enhancement model, and realizes intelligent comparison and dynamic response between the inspection results and standard specifications; the ITR service module is used to display the issues that the person is responsible for based on the information of the logged-in personnel. The manager can track problem points and / or matter points, set the execution completion date, and evaluate the execution effect on the ITR on-site tracking management system, so that the inspection personnel can find the corresponding problem points and matter points they are responsible for on the ITR on-site tracking management system and perform related tasks.

2. The ITR on-site tracking management system for the offshore industry according to claim 1 is characterized in that: The system also includes a login module and a role management module, and the login module and the role management module are arranged in the cloud server and / or the local client.

3. The ITR on-site tracking management system for the offshore industry according to claim 1 is characterized in that: The project information includes but is not limited to projects, modules, systems and subsystems; the inspection task information includes but is not limited to Tag number, Tag description, ITR number and ITR description.

4. The ITR on-site tracking management system for the offshore industry according to claim 1 is characterized in that: The task inspection module further includes the following processing: Input actual inspection data into the system; Extract relevant key information from current inspection data through NLP algorithm and perform similarity search with standard specifications in vectorized knowledge base; A multi-way retrieval and recall strategy is used to retrieve relevant standards. The retrieval and recall methods include retrieval and recall method one and retrieval and recall method two. Retrieval and recall method one is standard specification retrieval, which is to extract relevant key information from the current inspection data through the NLP algorithm, and perform similarity retrieval with the standard specifications in the vectorized knowledge base; retrieval and recall method two is historical inspection record retrieval, which is to perform similarity retrieval between the current inspection data and the historical inspection record question and answer knowledge base to find similar historical inspection cases. ReRank the results of multi-channel retrieval recall, including scoring the similarity of the retrieved standard specifications and historical inspection records according to priority, sorting the results according to the similarity score, and discarding the content with similarity below the threshold; Intelligent comparison and dynamic response are carried out, including comparing the current inspection results with the retrieved standard specifications to determine whether they meet the requirements; if they meet the standards, a confirmation report is generated with the relevant standard basis attached; if there are deviations, a detailed analysis report is generated to indicate the specific location and possible causes of the deviations; based on the pass or fail of historical inspection records, it is determined whether there are similar problems in the current inspection; if there are similar problems in the historical records, suggestions are generated with reference to their rectification plans; Generate feedback and rectification plans, including combining standards and historical inspection records to generate targeted feedback and rectification plans; The task inspection result storage and knowledge base update are performed, that is, the input data and output results of the current inspection are stored in the historical inspection record question and answer knowledge base, and the knowledge base is updated.

5. The ITR on-site tracking management system for the offshore industry according to claim 1 is characterized in that: The task execution module further includes the following processing: Assign inspection personnel, specifically including, after receiving the newly created inspection task, assigning the newly created inspection task to the inspection personnel according to the actual work arrangement on site, and the personnel assignment module calling the corresponding execution module, and the execution module issuing the task execution instruction to the inspection personnel responsible for the inspection task, and specifying the planned time; provide task status feedback, specifically including, after receiving the inspection task, the inspection personnel judge the problem according to the actual situation on site, and issue the executable tasks to the sub-inspectors, and for the unexecutable tasks, mark the reasons for the unexecutable tasks in the system and track them regularly; perform task reporting, specifically including, after the inspection task is completed, the sub-inspectors report the relevant tasks to the quality inspection personnel in the system, and the task execution results include relevant certification documents, and the certification documents include the inspection items with the execution status of completion and response.

6. A method for on-site tracking and management of ITR in the offshore industry, characterized in that: include: S1. Create a new inspection task. The completion center creates a new inspection task on the client side according to the project inspection requirements; S2. Perform task inspection within the system, inspect the task execution results based on the retrieval enhancement model, and realize intelligent comparison and dynamic response between the inspection results and standard specifications; S3. Provide ITR service, which specifically includes the quality inspector clicking on the inspection content received in the system and conducting inspection. If the content is qualified, it will be marked as qualified. If the content is unqualified, it will be rejected and sent to the sub-person in charge for rectification and resubmission; And, conduct statistical assessments, specifically including the ITR on-site tracking management system regularly conducting statistical assessments on the progress of task execution and compiling them into assessment lists.

7. The method for on-site tracking and management of ITR in the offshore industry according to claim 7, characterized in that: The step S2 specifically includes: S2.

1. Assign inspection personnel, specifically including assigning the newly created inspection task to the inspection personnel according to the actual work arrangement on site after receiving the newly created inspection task, and the personnel assignment module calling the corresponding execution module, and the execution module issuing the task execution instruction to the inspection personnel responsible for the inspection task and specifying the planned time; S2.2, provide task status feedback, specifically including that after receiving the inspection task, the inspector will judge the problem according to the actual situation on site, send the executable tasks to the sub-inspectors, and mark the reasons for the unexecutable tasks in the system and track them regularly; S2.

3. Report and inspect the tasks, which specifically includes that after the sub-person in charge receives the tasks assigned to him in the system, he shall carry out the construction on site in accordance with the prescribed requirements. After the construction and self-inspection are completed, he shall submit the relevant tasks to the quality inspectors for inspection in the system and upload the inspection documents at the same time. After the inspection tasks are completed, the sub-inspectors shall report the relevant tasks to the quality inspectors in the system and attach relevant supporting documents.

8. The method for on-site tracking and management of ITR in the offshore industry according to claim 7, characterized in that: The task inspection in step S2.3 further includes the following processing: Input actual inspection data into the system; Extract relevant key information from current inspection data through NLP algorithm and perform similarity search with standard specifications in vectorized knowledge base; A multi-way retrieval and recall strategy is used to retrieve relevant standards. The retrieval and recall methods include retrieval and recall method one and retrieval and recall method two. Retrieval and recall method one is standard specification retrieval, which is to extract relevant key information from the current inspection data through the NLP algorithm, and perform similarity retrieval with the standard specifications in the vectorized knowledge base; retrieval and recall method two is historical inspection record retrieval, which is to perform similarity retrieval between the current inspection data and the historical inspection record question and answer knowledge base to find similar historical inspection cases. ReRank the results of multi-channel retrieval recall, including scoring the similarity of the retrieved standard specifications and historical inspection records according to priority, sorting the results according to the similarity score, and discarding the content with similarity below the threshold; Intelligent comparison and dynamic response are carried out, including comparing the current inspection results with the retrieved standard specifications to determine whether they meet the requirements; if they meet the standards, a confirmation report is generated with the relevant standard basis attached; if there are deviations, a detailed analysis report is generated to indicate the specific location and possible causes of the deviations; based on the pass or fail of historical inspection records, it is determined whether there are similar problems in the current inspection; if there are similar problems in the historical records, suggestions are generated with reference to their rectification plans; Generate feedback and rectification plans, including combining standards and historical inspection records to generate targeted feedback and rectification plans; The task inspection result storage and knowledge base update are performed, that is, the input data and output results of the current inspection are stored in the historical inspection record question and answer knowledge base, and the knowledge base is updated.

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