Tracking management system and method for detecting project progress
By designing a project progress tracking management system, the problems of information lag, subjective error and inefficiency in traditional project management methods are solved, real-time tracking and intelligent analysis of project progress are realized, and management efficiency is improved.
Patent Information
- Application Number
- CN202510285388.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-03-11
- Publication Date
- 2025-07-01
AI Technical Summary
Traditional project management methods have information lag, subjective error risks, lack of intelligent analysis capabilities and inefficient coordination, making it difficult to effectively track and manage project progress.
Design a tracking and management system to detect project progress, including file building module, management module, monitoring and update module and process reporting module. By establishing a management process model, it can update and analyze project progress in real time, and provide predicted completion time and intervention plan.
It improves the follow-up efficiency of project progress, reduces information lag and subjective errors, and enhances the system's intelligent analysis capabilities and cross-departmental collaboration efficiency.
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Figure CN120235573A_ABST
Abstract
Description
Technical Field
[0001] The present invention belongs to the technical field of project tracking management, and particularly relates to a tracking management system and method for detecting project progress. Background Art
[0002] In modern detection project management, progress tracking is a core link to ensure on-time project delivery, efficient resource utilization, and controllable risks. Traditional project management methods usually rely on manual regular reports, Gantt chart updates, or spreadsheet statistics. However, with the increase in project complexity, multi-task parallelism, and cross-team collaboration requirements, the following limitations of traditional methods have gradually emerged:
[0003] 1. Information lag: There is a time delay in manual updates and reports, making it difficult to promptly reflect the dynamically changing task progress, resulting in managers being unable to quickly respond to sudden problems (such as resource conflicts, task delays);
[0004] 2. Risk of subjective error: Dependence on manual judgment and data entry is prone to progress evaluation deviations due to information asymmetry or human negligence;
[0005] 3. Lack of intelligent analysis ability: Existing systems are mostly limited to data recording and visualization display, and cannot predict potential risks or optimize resource allocation based on historical data or real-time information;
[0006] 4. Low collaboration efficiency: Dispersed communication channels and tools lead to information silos, making it difficult to achieve real-time progress synchronization and task coordination across departments and roles. Summary of the Invention
[0007] To solve the above technical problems, the present invention provides a tracking management system and method for detecting project progress. With the assistance of a project filing module, a management module, a monitoring and updating module, and a progress reporting module, a management process model is established to track project progress and improve the follow-up efficiency of project progress.
[0008] To achieve the above object, the technical solution adopted by the present invention is:
[0009] A tracking management system for detecting project progress, comprising:
[0010] A project filing module: According to the project content and detection standards, establish a project file, analyze its detection type, call the preset application scenarios in the database, analyze the results, and define the first-level classification, second-level classification, and underlying classification of the current project;
[0011] A management module: Conduct a requirements analysis on the current project, obtain the basic implementation data requirements, auxiliary implementation data requirements, and mandatory implementation data requirements for each level of classification, set up an overall vector and a basic vector, and calculate for each level of classification to construct a tracking management process model;
[0012] Monitoring and updating module: Based on the clock-in information of employees going to work, the material requisition record information in the material library, the identification information of monitoring cameras set in each venue, and the card-swipe access information of the access control, and taking the basic vector as the implementation basis, set the conditions for achieving the overall vector, and perform real-time data update on the management process model based on the information obtained above;
[0013] Process reporting module: Calculate the percentage based on the information obtained, analyze the estimated completion time according to the process progress trend, provide the analysis curve and upload it to the management headquarters, conduct manual intervention for the slow-progress classification, adjust the updated management process model, and formulate an intervention plan to change the overall process.
[0014] Furthermore, the filing module includes:
[0015] Basic data unit: Enter the data of the inspection plan, use the inspection instrument, record, result evaluation, re-inspection, and review as the basis to implement the data, then enter the data of quality assurance, use the instrument and inspection environment, the technical quality of inspection personnel, the quality assurance of inspection process, and the emergency handling of quality accidents as the guiding data, and then enter the summary data, use quality control, sample retention, report, and archiving as the actual demand data;
[0016] Database unit: Determine the applicable scenarios of the inspection types included in the project file through the industry standard information that has been collected and entered, and conduct analysis and comparison for them, so as to generate a preliminary classification plan and conduct a preliminary confirmation;
[0017] Classification unit: Based on the comparative analysis of the basic data unit and the database unit, determine the actual progress of the current project to form a classification, divide a category of classification for the data at different stages, then refine a second-level classification on the basis of a first-level classification, and then refine each second-level classification to obtain the underlying classification.
[0018] The classification unit includes:
[0019] Schedule unit: Determine each process step according to the project process in each level of classification, and after stipulating the corresponding start time and completion time for each process step, obtain the schedule for each level, identify the priority of the requirements according to the schedule, and list the priority requirements and secondary requirements;
[0020] Threshold unit: Based on the listed priority requirements and secondary requirements, set a threshold condition. When it is lower than the required threshold or exceeds the threshold, mark it and determine whether its importance will affect the project progress, and promote it to the upper-level classification for reclassification.
[0021] Abnormal data unit: If the result generated within the schedule unit shows that the actual processing time length is earlier than the start time and / or the actual processing time length is later than the completion time, a progress exception message is generated and sent to the management headquarters for re-entry.
[0022] Furthermore, the management module includes:
[0023] Data division unit: After collecting and analyzing the required data of the current project, it generates the basic vectors of the project at three levels: basic implementation, auxiliary implementation, and mandatory implementation.
[0024] Data integration unit: Generates the overall vector based on the association and dependency relationships between the basic vectors, thereby serving as the underlying data support for model establishment.
[0025] Model establishment unit: Using the models generated in previous sessions as basic units, it calls the database to perform probability verification on the basic vectors and the overall vector, ensuring that the necessary variables can conform to the conversion effects of the historical execution data of previous models, and thus establishing a new model for process tracking management and matching.
[0026] Furthermore, the monitoring and updating module includes:
[0027] Sub-model unit: According to the established model, it divides the personnel information for step-by-step execution. Using the mobile operation terminal as the execution terminal, it assigns hierarchical tasks according to the work date arrangement, obtains the dynamic location information of personnel by combining the clock-in information and the card-swipe access information, obtains the execution efficiency information of personnel through the material requisition record information, and distinguishes the personnel activity area information through the monitoring camera recognition information. Finally, it updates the management process model through the sub-model unit.
[0028] Remarks unit: A remarks field is constructed in the sub-model unit, and the step-by-step execution personnel record additional task information for other personnel to refer to and be reminded.
[0029] Furthermore, the process reporting module includes:
[0030] Execution feedback unit: The management headquarters divides the personnel operation permissions to hierarchically control the execution personnel within each sub-model and conduct information interaction feedback between superiors and subordinates.
[0031] Prediction and intervention unit: Regarding the impacts of different key factors on the execution results, and at the same time considering the secondary impacts on the execution results caused by the execution operations predicted by the execution feedback unit, it conducts simulation operation calculations by combining the two impacts and constructs a prediction model to predict the magnitude of the fluctuation of the process completion time caused by the prediction calculation results and change the analysis curve.
[0032] Storage unit: Combine the completed and adjusted management process model to form the final operation tracking management framework. After the overall operation of the project is completed, it is stored in the database for later reuse and to assist in the establishment of other projects.
[0033] The present invention provides a tracking management method for detecting project progress, including:
[0034] S1: Based on the project content and detection standards, establish a project file, analyze its detection type, call the preset application scenarios in the database, analyze the results, and define the first-level classification, second-level classification, and underlying classification of the current project;
[0035] S2: Conduct a requirements analysis on the current project to obtain the basic implementation data requirements, auxiliary implementation data requirements, and mandatory implementation data requirements for each level of classification. Set up an overall vector and a basic vector to calculate for each level of classification, thereby constructing a tracking management process model;
[0036] S3: Using the clock-in information of personnel going to work, the material requisition records in the material library, the identification information of surveillance cameras installed in each site, and the card-swipe access information of the access control, with the basic vector as the implementation basis, set the conditions for achieving the overall vector, and perform real-time data update on the management process model based on the information obtained above;
[0037] S4: Calculate the percentage ratio based on the information obtained, analyze the estimated completion time according to the progress trend of the process, provide the analysis curve and upload it to the management headquarters, conduct manual intervention on the classification with slow progress, adjust and update the management process model, formulate an intervention plan, and thus change the overall process.
[0038] Compared with the prior art, the advantages of the present invention are as follows: By inputting data, using the data as a support and comparing and analyzing it with the database, hierarchical strategies are output step by step, and based on the progress process, the basic vectors of the data are divided and integrated. Finally, a model is established, and based on the model, the personnel who will execute it step by step are divided. Information update is performed on the sub-model unit through relevant data information collection. Finally, dynamic tracking management is implemented for the model, and the results are predicted and corrected under the execution feedback. The predicted budget results will cause the progress completion time to fluctuate, and the analysis curve is changed. The completed and adjusted management process model is combined to form the final operation tracking management framework. After the overall operation of the project is completed, it is stored in the database for later reuse and to assist in the establishment of other projects. BRIEF DESCRIPTION OF THE DRAWINGS
[0039] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.
[0040] Figure 1 is a schematic structural diagram of the present invention;
[0041] Figure 2 is a schematic flow diagram of the present invention. Detailed implementation manners
[0042] To make the objectives, technical solutions and advantages of the present invention clearer, the following will clearly and completely describe the technical solutions of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, rather than all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts fall within the scope protected by the present invention.
[0043] The following will describe the detailed implementation manners of the present invention in conjunction with the drawings:
[0044] Embodiment 1
[0045] As Figure 1 shown, a tracking management system for detecting the progress of a project includes:
[0046] Filing module: According to the project content and detection standards, establish a project file, analyze its detection type, call the preset application scenarios in the database, analyze the results and define the first-level classification, second-level classification and underlying classification of the current project;
[0047] Management module: Conduct a requirements analysis on the current project, obtain the basic implementation data requirements, auxiliary implementation data requirements and mandatory implementation data requirements for each level of classification, set up the overall vector and the basic vector, and calculate for each level of classification, thereby constructing a tracking management process model;
[0048] Monitoring and updating module: Based on the punch-in information of personnel going to work, the material requisition record information in the material library, the identification information of the monitoring cameras set up in each venue, and the card-swipe access information of the access control, with the basic vector as the implementation basis, set the conditions for reaching the overall vector, and perform real-time data update on the management process model based on the above-obtained information;
[0049] Process reporting module: Calculate the percentage based on the acquired information, analyze the estimated completion time according to the process progress trend, upload the analysis curve to the management headquarters, manually intervene in the classification of slow processes, adjust and update the management process model, and formulate an intervention plan to change the overall process.
[0050] Description of the working method of this embodiment:
[0051] In the filing module, with the detection standard as the support basis of the project, the content of the project needs to be classified and divided by type on the basis of meeting the relevant standards and requirements. Then, by referring to the model data originally existing in the database, the first-level, second-level, and underlying classifications of the project are realized. And on this basis, requirement analysis is carried out, and the data requirements at each level are set as the overall vector and the basic vector. For this purpose, a model is constructed, and the model is monitored and updated from the acquisition of each data information to keep the model updated with real-time data. Finally, information reporting is carried out level by level. During this period, the project process can be changed through intervention means, and at the same time, the analysis curve of the estimated completion time of the project is output.
[0052] Embodiment 2
[0053] A tracking and management system for detecting project progress, the filing module includes:
[0054] Basic data unit: Enter the data of the detection plan, realize the data based on the detection instrument, record, result evaluation, re-inspection, and review. Then enter the data of quality assurance, with the instrument and detection environment, the technical quality of the detection personnel, the quality assurance of the detection process, and the emergency handling of quality accidents as the guiding data. Then enter the summary data, with quality control, sample retention, report, and archiving as the actual demand data;
[0055] Database unit: Determine the applicable scenarios of the detection types included in the project file through the industry standard information that has been collected and entered, and conduct analysis and comparison for it, so as to generate a preliminary classification plan and conduct preliminary confirmation;
[0056] Classification unit: Based on the comparative analysis of the basic data unit and the database unit, determine the actual progress of the current project to form a classification. For the data at different stages, a first-level classification is made, and then a second-level classification is refined on the basis of the first-level classification, and then the underlying classification is refined for each second-level classification.
[0057] The classification unit includes:
[0058] Schedule unit: In each level of classification, determine each process step according to the project process, and after stipulating the corresponding start time and completion time for each process step, obtain the schedule of each level, identify the priority of the requirements according to the schedule, and list the priority requirements and secondary requirements;
[0059] Super-threshold unit: Based on the listed primary and secondary requirements, a super-threshold condition is set. When it is below the required threshold or exceeds the threshold, it is marked and its importance is determined whether it will affect the project progress, and it is reclassified to a higher-level classification.
[0060] Abnormal data unit: If the result generated within the schedule unit is that the actual processing time length is earlier than the start time and / or the actual processing time length is later than the completion time, a progress exception message is generated and sent to the management headquarters for re-entry.
[0061] Embodiment 3
[0062] A tracking management system for detecting project progress, the management module includes:
[0063] Data partitioning unit: After collecting and analyzing the required data of the current project, a basic vector of the project is generated at three levels of basic implementation, auxiliary implementation, and mandatory implementation;
[0064] Data integration unit: An overall vector is generated based on the association and dependency relationships between the basic vectors, thereby serving as the underlying data support for model establishment;
[0065] Model establishment unit: Using the models generated in previous sessions as basic units, the database is called to perform probability calculations on the basic vectors and the overall vector, so that its necessary variables can conform to the conversion effect of the historical execution data of previous models, thereby establishing a new model for process tracking management and matching.
[0066] Embodiment 4
[0067] A tracking management system for detecting project progress, the monitoring and updating module includes:
[0068] Sub-model unit: According to the established model, the personnel information for step-by-step execution is divided. Using the mobile operation terminal as the execution terminal, hierarchical tasks are assigned according to the work date arrangement. The dynamic location information of personnel is obtained by combining the clock-in information and the card-swipe access information. The execution efficiency information of personnel is obtained by the material requisition record information. The activity area information of personnel is distinguished by the monitoring camera recognition information. Finally, the management process model is updated through the sub-model unit;
[0069] Remarks unit: A remarks field is constructed in the sub-model unit, and the step-by-step execution personnel record additional task information for other personnel to refer to and be reminded.
[0070] Embodiment 5
[0071] A tracking management system for detecting project progress, the process reporting module includes:
[0072] Execution feedback unit: Manage the operation permissions of personnel divided by the management headquarters, hierarchically control the executors within each sub-module, and conduct information interaction and feedback between superiors and subordinates;
[0073] Prediction intervention unit: Regarding the impacts of different key factors on the execution results, and at the same time, predicting the secondary impacts on the execution results caused by the execution operations made by the execution feedback unit, combining the two impacts to conduct simulation operation calculations and construct a prediction model, predicting the magnitude of the fluctuation of the process completion time caused by the prediction calculation results, and changing the analysis curve;
[0074] Storage unit: Combine the completed execution and adjusted and updated management process models to form a final operation tracking management framework. After the overall operation of the project is completed, it is stored in the database for later reuse and to assist in the establishment of other projects.
[0075] Example 6
[0076] As Figure 2 shown, a tracking management method for detecting project progress includes:
[0077] S1: According to the project content and detection standards, establish a project file, analyze its detection type, call the application scenarios preset in the database, analyze the results and define the first-level classification, second-level classification and underlying classification of the current project;
[0078] S2: Conduct a requirements analysis on the current project, obtain the basic implementation data requirements, auxiliary implementation data requirements and mandatory implementation data requirements for each level of classification, set up an overall vector and a basic vector, calculate for each level of classification, and thus construct a tracking management process model;
[0079] S3: Using the clock-in information of personnel going to work, the material requisition record information in the material library, the identification information of surveillance cameras set up in each site, and the card-swipe access information of the access control, taking the basic vector as the implementation basis, set the conditions for achieving the overall vector, and perform real-time data update on the management process model based on the information obtained above;
[0080] S4: Calculate the percentage ratio according to the information obtained, analyze the estimated completion time according to the process progress trend, provide the analysis curve and upload it to the management headquarters, conduct manual intervention on the categories with slow progress, adjust and update the management process model, and formulate an intervention plan, thereby changing the overall process.
[0081] The beneficial effects of the present invention are as follows: By inputting data, using the data as a support and comparing and analyzing it with the database, a hierarchical strategy is output step by step, and based on the progress process, the basic vectors of the data are divided and integrated. Finally, a model is established, and based on the model, the personnel to be executed step by step are divided. Through the collection of relevant data information, the information of the sub-model unit is updated. Finally, dynamic tracking management is implemented for the model, and then the results are predicted and corrected under the execution feedback. The magnitude of the fluctuation of the process completion time caused by the predicted budget result is predicted, and the analysis curve is changed. The management process model after completion of execution and adjustment and update is combined to form the final operation tracking management framework. After the overall operation of the project is completed, it is stored in the database for later reuse and assistance in the establishment of other projects.
[0082] 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 foregoing embodiments, those of ordinary skill in the art should understand that: they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements on some or all of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the scope of the technical solutions of the embodiments of the present invention.
Claims
1. A tracking and management system for detecting project progress, characterized in that: include: File creation module: Create project files according to project content and testing standards, analyze the testing type, call the pre-set application scenarios in the database, analyze the results and define the primary classification, secondary classification and bottom classification of the current project; Management module: Analyze the needs of the current project, obtain the basic data requirements, auxiliary data requirements and necessary data requirements for each level of classification, establish the overall vector and basic vector, calculate for each level of classification, and thus build a tracking management process model; Monitoring update module: Based on the clock-in information of personnel, the material collection record information of the material warehouse, the identification information of the surveillance cameras set up in each venue, and the card-swipe entry and exit information of the access control, the basic vector is used as the basis for implementation, and the conditions for achieving the overall vector are set. Based on the above information, the management process model is updated in real time; Process reporting module: Calculate the percentage based on the information obtained, analyze the estimated completion time according to the process progress trend, provide analysis curves and upload them to the management headquarters, conduct manual intervention on categories with slow progress, adjust and update the management process model, and formulate intervention plans to change the overall process.
2. The tracking and management system for the progress of the inspection project according to claim 1 is characterized by: The file creation module includes: Basic data unit: input the data of the test plan, with the test instrument, record, result evaluation, re-inspection and audit as the basic data, then input the data of quality assurance, with the instrument and test environment, technical quality of test personnel, quality assurance of the test process and emergency treatment of quality accidents as the oriented data, then input the summarized data, with quality control, sample retention, report and archiving as the actual demand data; Database unit: Determine the scenarios to which the test types listed in the project files can be applied through the collected and entered industry standard information, and analyze and compare them to generate a pre-classification plan and make preliminary confirmation; Grading unit: Based on the comparative analysis of basic data units and database units, the actual progress of the current project is determined to form a classification. A first-class classification is made for the data at different stages, and then a second-class classification is refined based on the first-class classification. Each second-class classification is then refined to obtain the underlying classification.
3. The tracking and management system for the progress of the inspection project according to claim 2 is characterized by: The grading unit comprises: Schedule unit: In each level of classification, each process step is determined according to the project process, and the corresponding start time and completion time are specified for each process step. Then, the schedule of each level is obtained, and the priority of the requirements is identified according to the schedule, and the priority requirements and secondary requirements are listed; Over-threshold unit: Based on the listed priority needs and secondary needs, over-threshold conditions are established. When it is below the required threshold or exceeds the threshold, it is marked and its importance is determined to determine whether it will affect the progress of the project, and it is promoted to the next level classification for reclassification.
4. The tracking and management system for the progress of the inspection project according to claim 3 is characterized by: The grading unit further includes: Abnormal data unit: If the result generated in the schedule unit is that the actual processing time length is earlier than the start time and / or the actual processing time length is later than the completion time, a progress abnormality message is generated and sent to the management headquarters for re-entry.
5. The tracking and management system for the progress of the inspection project according to claim 4 is characterized by: The management module comprises: Data division unit: collects and analyzes the data required for the current project, and generates the basic vectors of the project in three levels: basic realization, auxiliary realization, and required realization; Data integration unit: Generates the overall vector based on the association and dependency between basic vectors, thus serving as the underlying data support for model establishment; Model building unit: Using the models generated in previous years as the basic unit, call the database to perform probability verification on the basic vector and the overall vector, so that its inevitable variables can meet the conversion effect of the historical execution data of the previous models, thereby establishing a new model for process tracking, management and matching.
6. The tracking and management system for the progress of the inspection project according to claim 5, characterized in that: The monitoring update module includes: Dividing module unit: According to the established model, divide the personnel information for step-by-step execution, use the mobile phone operation terminal as the execution terminal, arrange and assign hierarchical tasks according to the working date, obtain the dynamic location information of the personnel by combining the punch-in information and the card-swipe entry and exit information, obtain the personnel's execution efficiency information through the material collection record information, distinguish the personnel's activity area information through the monitoring camera recognition information, and finally update the management process model through the dividing module unit; Remarks unit: A remarks field is constructed in the sub-module unit, and the step-by-step executors record additional task information for reference and reminder by other personnel.
7. The tracking and management system for the progress of the inspection project according to claim 6 is characterized by: The process reporting module includes: Execution feedback unit: divide the operating rights of personnel by the management headquarters, conduct hierarchical management and control of the executive personnel in each sub-module, and conduct information interaction and feedback between superiors and subordinates; Prediction intervention unit: for the impact of different key factors on the execution results, the execution operation prediction made by the execution feedback unit will produce a secondary impact on the execution results. Combined with the two impacts, simulation runs are performed and a prediction model is constructed to predict the size of the process completion time adjustment caused by the calculation results and change the analysis curve; Storage unit: Combine the completed execution and adjusted updated management process models to form the final operation tracking management framework. After the overall operation of the project is completed, it will be stored in the database for later retrieval and to assist in the establishment of other projects.
8. A tracking management method for testing project progress, characterized by: include: S1: According to the project content and testing standards, establish the project file, analyze its testing type, call the pre-set application scenarios in the database, analyze the results and define the primary classification, secondary classification and bottom classification of the current project; S2: Analyze the needs of the current project, obtain the basic data requirements, auxiliary data requirements and necessary data requirements for each level of classification, establish the overall vector and basic vector, calculate for each level of classification, and thus build a tracking management process model; S3: Based on the clock-in information of personnel, the material collection record information of the material warehouse, the identification information of the surveillance cameras installed in each venue, and the card-swipe entry and exit information of the access control, the basic vector is used as the basis for implementation, and the conditions for achieving the overall vector are set. Based on the above information, the management process model is updated in real time; S4: Calculate the percentage based on the information obtained, analyze the estimated completion time according to the process progress trend, provide analysis curves and upload them to the management headquarters, conduct manual intervention on categories with slow progress, adjust and update the management process model, and formulate intervention plans to change the overall process.