CN107784447B - Whole-process supervision closed-loop management system and method based on triple early warning - Google Patents
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Abstract
The invention provides an overall process supervision and construction closed-loop management system based on triple early warning, which comprises a task management module, a process progress management module, a witness management module, a judgment module, a supervision and construction early warning module, a quality problem processing module, a comprehensive management module and a task filing module. The invention establishes a monitoring task for each device, classifies manufacturing key processes of different types of devices according to different structural characteristics, formulates a process progress plan, associates witness verification management with the process progress, combines the progress plan and a comprehensive management module, judges the progress problem, the quality problem and the integrity problem of monitoring record by a judgment module, monitors the execution of the production progress by a monitoring early warning module, and realizes the flow, standardization and intelligent timely information management of large-scale device monitoring.
Description
Technical Field
The invention relates to the technical field of equipment monitoring and manufacturing, in particular to a system and a method for managing a whole-process monitoring and manufacturing closed loop based on triple early warning.
Background
The equipment monitoring is that a technician familiar with the equipment manufacturing process monitors the equipment manufacturing quality and the production progress according to the requirements of equipment technical protocols, ensures that the product process quality meets the technical contract and the related standard requirements, and delivers the products on time. At present, the basic method for monitoring equipment is to dispatch technicians to stay in a factory before the equipment is manufactured, periodically inspect the manufacturing process, and check, accept and release the witness items agreed by the monitoring technical protocol according to the technical protocol and related standards. For large-scale equipment monitoring, large and small processes are hundreds of thousands, witness projects are difficult to completely cover, and quality problems often occur in non-conventional witness projects, so that the traditional monitoring method has the problems of problem discovery, untimely closed loop, difficulty in monitoring and controlling production progress and the like. On the other hand, large-scale equipment monitoring generates a large amount of documents such as witness data, daily monitoring reports, weekly monitoring reports, quality problem processing records and the like, the data management is complex, the timeliness is poor, and the difficulty is very high for the unified management of the equipment monitoring in mass production and wide regional distribution of manufacturers.
The invention provides a method and a system for monitoring and manufacturing metering equipment, which are disclosed in the patent CN201610284335, and describe that a pre-customized standardized monitoring and manufacturing template of the metering equipment is adopted, the monitoring and manufacturing item and index information are included, whether a witness result is qualified is judged by updating data of the template through witness data on site and comparing the witness data with the index information, and meanwhile, the comparison result is remotely transmitted to realize remote monitoring and manufacturing of the metering equipment. The method can only analyze and judge the standard witness items of the protocol, and does not provide an effective solution for the quality and progress management of the manufacturing procedures except the witness items of the large-scale equipment. The invention patent CN201510794705 provides an equipment monitoring and quality real-time control system, and describes that personnel attendance positioning, an Internet of things technology and a man-machine interaction technology are adopted to be applied to quality real-time control in the manufacturing process of ships and ocean platforms. The real-time monitoring of the equipment manufacturing process is realized by monitoring the process data of each production station in real time and comparing the process data with standard parameters. The method is more suitable for the interior of a manufacturing plant, carries out automatic management on standard procedures with higher partial automation degree, and can not realize the whole-process monitoring and manufacturing of large-scale equipment.
Disclosure of Invention
The invention aims to solve the technical problem of disclosing a full-process monitoring closed-loop management system and method based on triple early warning, and the system and method aim to establish monitoring tasks for each device, classify manufacturing key processes of different types of devices according to different structural features, formulate a process progress plan, associate witness verification management with process progress, combine the progress plan and a comprehensive management module, judge the progress problem, the quality problem and the monitoring record integrity problem by a judgment module, monitor production progress execution by a monitoring early warning module, and realize the streamlined, standardized and intelligent timely information management of large-scale device monitoring.
The utility model provides a closed loop management system is made in overall process prison based on triple early warning which characterized in that: the system comprises a task management module, a process progress management module, a witness management module, a judgment module, a monitoring and early warning module, a quality problem processing module, a comprehensive management module and a task filing module;
the task management module is used for establishing an equipment monitoring task;
the process progress management module is connected with the task management module and used for distributing process components and associated witness records according to the established equipment monitoring task, and each witness record is respectively associated with a corresponding process node in the process progress;
the witness management module is used for receiving witness records, daily witness reports, weekly witness reports, monthly witness reports and summary reports which are recorded by a monitoring person according to a standardized record template, wherein the witness records are witness of essential protocol items in the equipment manufacturing process, the witness records adopt the standardized record module to record witness results of all procedure witness items, the daily witness reports record the manufacturing progress condition of each procedure every day, and the weekly witness reports and the monthly witness reports record the periodic monitoring condition;
the judging module is used for judging whether progress risks, incomplete data and inconsistent quality exist according to the entered witness records and the monitoring daily reports, if so, sending an instruction to the monitoring early warning module to respectively perform monitoring progress early warning, monitoring data early warning and monitoring quality early warning, and when the quality is inconsistent, the quality problem processing module 60 reports, classifies, processes and releases the problems, the quality problem processing module forms standard documents in the processing process and transmits the standard documents to the comprehensive management module, and the judging module is also used for transferring to a monitoring summary report according to monitoring weekly reports, monitoring monthly reports completion conditions and process progress completion conditions;
and the comprehensive management module is used for providing data support for the judgment module, and when the monitoring record in the witness inspection management module is completely finished and the quality problem is completely closed-loop, the comprehensive management module enters the task filing module to finish the whole process closed-loop management of the monitoring task.
Furthermore, the process progress management module correspondingly generates a process matrix and a witness item matrix when distributing process components and associated witness records, the witness management module modifies the witness item matrix, the witness daily report, the witness weekly report, the witness monthly report, the quality problem matrix and the progress deviation matrix according to the recorded witness records and the monitoring daily reports, and the quality problem matrix and the progress deviation matrix are initially empty matrices.
Further, the witness management module compares witness results recorded by the witness records with standards, whether quality requirements are met is automatically checked, and if the checking quality is unqualified, sub items are automatically added to the quality problem matrix; when the witness record is submitted and the quality problem matrix is 0, the corresponding item in the witness item matrix is changed into 1; when unqualified items or quality problems are selected in the monitoring daily report, the witness record and the routing inspection record table, the sub item 1 is automatically added to the quality problem matrix, and if the progress deviation is selected, the sub item 1 is added to the progress deviation matrix.
Further, if the judging module finds that the progress deviation matrix or the quality problem matrix is newly added with 1, the judging module transfers the progress deviation matrix or the quality problem matrix into a quality problem processing module and a monitoring and manufacturing early warning module, all the process progresses are finished, and if the process matrixes are all 1, a summary report is entered.
Furthermore, the witness record comprises witness of equipment raw material performance, witness of process quality, witness of assembly quality and performance of components, witness of qualification of special workers and witness of equipment delivery test.
Further, the progress risk determination principle includes, but is not limited to: adding 1 to the progress deviation matrix, only subtracting N days from the process plan node, and setting the corresponding item of the process matrix as 0; the quality non-compliance determination principle includes but is not limited to: the witness records show that the display is unqualified, and the daily report display quality problem is monitored; adding 1 to the quality problem matrix; the data insufficiency judgment principle includes but is not limited to: and (3) the monitoring daily report matrix, the weekly report matrix and the monthly report matrix are 0, the quality problem matrix contains 1, the process progress is early warned, the witness record matrix contains 1, and the monitoring summary report is not submitted.
A full-process monitoring closed-loop management method based on triple early warning is characterized in that the method
The method comprises the following steps:
the task management module establishes an equipment monitoring task;
the process progress management module distributes process compositions and associated witness records according to the established equipment monitoring task, and each witness record is respectively associated with a corresponding process node in the process progress;
the witness management module receives witness records, daily witness reports, weekly witness reports, monthly witness reports and summary reports which are recorded by a monitoring person according to a standardized record template, the witness records are witness of indispensable protocol items in the equipment manufacturing process, the witness records adopt the standardized record module to record witness results of witness items of all working procedures, the daily witness reports record the manufacturing progress of each working procedure every day, and the weekly witness reports and the monthly witness reports record the periodic monitoring conditions;
the judging module judges whether progress risks, incomplete data and inconsistent quality exist according to the entered witness records and the monitoring daily reports, if so, an instruction is sent to the monitoring and early warning module to respectively carry out monitoring and early warning on the progress, monitoring and early warning on the data and monitoring and early warning on the quality, when the quality is inconsistent, the quality problem processing module carries out reporting, classification, processing and releasing on the problems, and the quality problem processing module forms standard documents in the processing process and transmits the standard documents to the comprehensive management module;
and the comprehensive management module provides data support for the judgment module, and when the monitoring record in the witness inspection management module is completely finished and the quality problem is completely closed-loop, the comprehensive management module enters the task filing module to finish the whole process closed-loop management of the monitoring task. ,
further, the process progress management module correspondingly generates a process matrix and a witness item matrix when distributing process components and associated witness records, the witness management module 30 modifies the witness item matrix, the witness daily report, the witness weekly report, the witness monthly report, the quality problem matrix and the progress deviation matrix according to the recorded witness records and the witness daily reports, and the quality problem matrix and the progress deviation matrix are initially empty matrices; the witness management module compares witness results recorded by the witness records with standards, automatically checks whether the witness results meet quality requirements, and automatically adds sub-items to the quality problem matrix if the checking quality is unqualified; when the witness record is submitted and the quality problem matrix is 0, the corresponding item in the witness item matrix is changed into 1; when unqualified items or quality problems are selected in the monitoring daily report, the witness record and the routing inspection record table, the sub item 1 is automatically added to the quality problem matrix, and if the progress deviation is selected, the sub item 1 is added to the progress deviation matrix.
Furthermore, the witness record comprises witness of equipment raw material performance, witness of process quality, witness of assembly quality and performance of components, witness of qualification of special workers and witness of equipment delivery test.
Further, the progress risk determination principle includes, but is not limited to: adding 1 to the progress deviation matrix, only subtracting N days from the process plan node, and setting the corresponding item of the process matrix as 0; the quality non-compliance determination principle includes but is not limited to: the witness records show that the display is unqualified, and the daily report display quality problem is monitored; adding 1 to the quality problem matrix; the data insufficiency judgment principle includes but is not limited to: and (3) the monitoring daily report matrix, the weekly report matrix and the monthly report matrix are 0, the quality problem matrix contains 1, the process progress is early warned, the witness record matrix contains 1, and the monitoring summary report is not submitted.
Compared with the prior art, the invention has the following advantages:
1. extracting key processes of equipment, determining a schedule of the key processes, distributing witness projects to each process, closely associating witness processes with schedule control, realizing intelligent early warning and alarming of the schedule and quality problems and enhancing the control capability of the schedule and the quality;
2. the quality problem is processed through issuing and releasing of a monitoring engineer and monitoring alarming and relieving, internal closed-loop processing of the quality problem is achieved, and meanwhile judgment and analysis basis of the monitoring problem is improved through collection of a historical case library.
3. The progress condition, the quality condition and the completion condition of the monitoring information in the monitoring process are counted, judged, analyzed and summarized, so that the whole process closed-loop management of the monitoring of the large-scale equipment is realized;
4. the standardized management is carried out on the monitoring information recording template, so that the system modules are easier to be correlated and called, and the monitoring efficiency is improved;
and 5, flow monitoring is adopted, so that the method can be used for constructing a monitoring information management software system, remote monitoring interaction is realized, monitoring information communication is timely, and the efficiency is higher.
Drawings
FIG. 1 is a block diagram of the present invention based on triple pre-warning for the overall process supervision closed-loop management system;
FIG. 2 is a flow chart of the overall process monitoring closed-loop management method based on triple pre-warning according to the present invention;
FIG. 3 illustrates exemplary criteria for issuing a manufacturing pre-alarm in the decision module of the present invention;
FIG. 4 is a schematic diagram of the witness module of the present invention;
FIG. 5 is a schematic diagram of a quality problem handling process according to the present invention;
FIG. 6 is a schematic diagram of the structure of the integrated management module of the present invention;
FIG. 7 is a style diagram of a witness record table used in the present invention;
FIG. 8 is a stylistic view of an authentication log as used in the present invention.
In the figure: 10-task management module, 20-process progress management module, 30-witness management module, 40-judgment module, 50-monitoring and early warning module, 60-quality problem processing module, 70-comprehensive management module and 80-task filing module.
Detailed Description
The technical solution of the present invention will be clearly and completely described below with reference to the accompanying drawings.
In the invention, the task management module 10 takes a single device as a task unit, comprises basic information of device manufacture, the device manufacture is divided into a plurality of processes, after a monitoring task is established, the process enters the process progress management module 20, comprises plan completion time information and actual completion information, all witness items in each process are completed, and quality problems are all closed-loop, then the task process is completed, a monitoring person fills the completion conditions of witness items, daily reports and the like in the witness management module 30, the judgment module 40 judges whether production progress, quality problems, tasks are completed or not according to the daily report conditions, witness records, files, historical case libraries and the like, the monitoring and early warning module 50 carries out early warning and warning on production progress deviation, quality problems and the like, a proprietor and a monitoring unit timely urge the factory to reform according to the monitoring and early warning, after all witness data are completed and the quality problems are all closed-loop, and entering a task filing module 80 to complete the integration and closed loop of all the monitoring and manufacturing data of the task.
Referring to fig. 1, one embodiment of the overall process monitoring closed-loop management system based on triple warning according to the present invention includes a task management module 10, a process progress management module 20, a witness management module 30, a determination module 40, a monitoring and warning module 50, a quality problem processing module 60, a comprehensive management module 70, and a task filing module 80.
The task management module 10 is configured to establish an equipment monitoring task;
the process progress management module 20 is connected to the task management module 10, and configured to generate a process matrix [ process 1, process 2 … ], a process 1 witness project matrix [ witness 11, witness 12 … ], a process 2 witness project matrix [ witness 21, witness 22 … ] …, and then enter a process progress plan completion time [ t1t2 … ] by a monitoring person according to the established equipment monitoring task allocation process composition and the associated witness record. The working procedures comprise planned completion time information and actual completion information, and the task working procedures are completed when witness items in all the working procedures are completed and quality problems are closed-loop completely.
The witness management module 30 is configured to receive witness records, daily monitoring reports, weekly monitoring reports, monthly monitoring reports, and summary reports, which are recorded by a monitoring person according to a standardized record template (e.g., the witness record shown in fig. 7 and the monitoring log shown in fig. 8). The witness record is the witness of the necessary protocol items in the equipment manufacturing process and comprises equipment raw material performance witness, process quality witness, assembly quality and performance witness of group components, special worker qualification witness, equipment delivery test witness and the like. And filling the witness results of the relevant parameter indexes of the equipment in the witness records, comparing the results with the quality requirements in the basis files by the monitoring system, and checking whether the witness records are qualified or not. If not, the judgment module 40 sends out a monitoring quality alarm to the monitoring and early warning module 50, and goes to quality problem processing.
The daily monitoring report records the manufacturing progress of each process every day, the judgment module 40 compares the daily monitoring progress with the progress plan, if the daily monitoring progress has obvious deviation, the monitoring progress early warning is sent, the daily monitoring report also records the quality problems found in the routing inspection process, and the judgment module 40 sends the early warning.
And recording the periodic monitoring condition of the monitoring weekly report and the monitoring monthly report, and switching to a monitoring summary report by the judgment module 40 according to the completion condition of the monitoring weekly report, the monitoring monthly report and the completion condition of the process progress, finally completing a monitoring task and filing the monitoring task.
The witness management module 30 modifies the corresponding witness item matrix, the daily witness report, the weekly witness report and the monthly witness report according to the entered witness record, the daily witness report, the weekly witness report and the monthly witness report, and specifically: if the witness record is submitted and the quality problem is closed loop, the corresponding item of the witness item matrix is changed into 1; the daily report, weekly report and monthly report are initially empty matrix [ ], the matrix is automatically added with sub-items [0 … ] after the appointed time of the day, week and month, and the matrix becomes 1 if the report is submitted; the quality problem matrix is initially a null matrix [ ], and when unqualified items or quality problems are selected from the monitoring daily report, witness record and routing inspection record table, the quality problem matrix automatically increases sub-items [1 … ].
The judging module 40 is configured to judge whether there is a progress risk, incomplete data, and inconsistent quality according to the entered witness record and the monitoring daily report, and if so, send an instruction to the monitoring and early warning module 50 to perform monitoring and early warning, monitoring and early warning for the progress, monitoring and early warning for the data, and monitoring and early warning for the quality, so that the owners and monitoring units can timely prompt the manufacturer to correct the manufacturing plant according to the early warning information sent by the monitoring and early warning module 50, and after the judging module 40 checks that the process node is found to be completed, the witness data is submitted, and the quality problem is closed loop, send an instruction to the monitoring and early warning module 50 to close the corresponding early warning.
Specifically, the determination module 40 determines whether the daily schedule is deviated, whether the daily polling is problematic, whether the inspection and test result of the witness item is qualified, and whether the monitored record data is completely completed according to the witness record and the monitoring daily report. When the record of the monitoring daily report has larger progress deviation, the monitoring and manufacturing early warning module 7 sends out monitoring and manufacturing progress early warning, and owners and monitoring and manufacturing units supervise and prompt rectification and modification in time; when the quality problem matrix is unqualified in inspection and test, a sub item [1 … ] is automatically added to the quality problem matrix, the judgment module 40 sends an instruction to the monitoring and early warning module 50, the monitoring and early warning module 50 sends monitoring and early warning quality, meanwhile, the quality problem processing module 60 reports, classifies, processes and releases the problem (a monitoring and total engineer carries out problem classification and release, the monitoring engineer supervises and prompts the problem processing and fills a quality problem processing report), when the quality problem processing is released, the sub item corresponding to the quality problem matrix is changed from 1 to 0, all closed loops of the quality problem matrix are all 0, and the number of 0 represents the quantity of the quality problem. The quality problem processing module 60 is used for sending quality problem alarm information and alarm removing information to the monitoring and manufacturing early warning module 50, the quality problem processing module 60 forms a standard document in the processing process and transmits the standard document to the comprehensive management module 70, the comprehensive management module 70 provides data support for the judgment module 40, and the monitoring and manufacturing records in the witness management module 30 are completely completed and the quality problems are completely closed-loop, and then the quality problem processing module enters the task filing module 80 to complete the whole process closed-loop management of the monitoring and manufacturing tasks.
Fig. 3 shows the three-step monitoring and early warning, in which the determination principles include the occurrence of progress risks, inconsistent quality, and incomplete data, the progress risks include but are not limited to: adding 1 for the progress deviation matrix, only subtracting N days from the process plan node (N is a specified number of days, and the difference delta t between the process progress plan matrix and the actual date is less than N), and setting the corresponding item of the process matrix to be 0; quality inconsistencies include, but are not limited to: the witness records show that the display is unqualified, and the daily report display quality problem is monitored; adding 1 to the quality problem matrix; data incompletion includes but is not limited to: and (3) the monitoring daily report matrix, the weekly report matrix and the monthly report matrix are 0, the quality problem matrix contains 1, the process progress is early warned, the witness record matrix contains 1, and the monitoring summary report is not submitted.
Fig. 4 shows the composition of the witness management module 30: the witness record 31 adopts a standardized record module to record witness results of witness projects of all procedures, the system compares the witness results with standards, whether quality requirements are met is automatically checked, if the quality is unqualified, a sub-item [1 … ] is automatically added to a quality problem matrix, each witness record is respectively associated with a corresponding procedure node in the procedure progress, and when the witness record is submitted and the quality problem matrix is 0, a corresponding item in the witness project matrix is changed into 1; the monitoring daily report 32, the monitoring weekly report 33 and the monitoring monthly report 34 respectively record the production progress condition and the monitoring inspection result of the corresponding time period according to a standardized template, and give out whether a larger deviation and a quality problem occur, if unqualified items are selected, a sub item [1 … ] is automatically added to the quality problem matrix; if the determination module 40 finds that the progress deviation matrix or the quality problem matrix has a new 1, the process proceeds to the quality problem processing module 60 and the monitoring and early warning module 50, and if all the process progresses and the process matrices are all 1, the process proceeds to the summary report 35.
The quality problem processing module 60 is used for closed-loop processing of quality problem discovery, timely reporting, problem classification, problem processing, quality release and progress updating, and after the judgment module 40 discovers the quality problem of monitoring, the quality problem processing module 60 is sent to send out monitoring and manufacturing early warning and the monitoring and manufacturing early warning is sent to a monitoring and manufacturing master engineer, and a quality problem processing flow is given in fig. 5:
Fig. 6 shows the structure of the integrated management module: the file 81 includes relevant standards, quality requirements, technical protocols and the like of witness items, the historical case library 82 includes a quality problem processing case library and is continuously accumulated and updated in the monitoring process, the user management 83 manages user authority, log logs and the like, and the recording template 84 is a standardized recording template and includes a witness recording table, a witness daily report, a weekly report, a monthly report, a monitoring contact list and the like. The standardized witness list includes process names, witness items, witness results, whether the product is qualified, and the like, and a typical witness list is shown in fig. 7. The monitoring daily report template comprises monitoring equipment information, recording date, recording persons, the current day schedule, the current day polling condition, whether quality problems occur or not and the like, and a typical monitoring daily report template is shown in figure 8.
The implementation steps of the overall process monitoring closed-loop management method based on triple early warning are described in the following with reference to fig. 2: the method comprises the steps of constructing the process of the equipment and the witness items related to each process, generating a process matrix and a witness item matrix (the initial value is 0, the corresponding item data is submitted, and the quality problem processing is finished and is 1) by a system, inputting the quality requirement files of each process of the equipment, and prefabricating various templates related to witness records. Establishing an equipment monitoring task, filling a process progress plan, producing a process progress plan matrix (for the completion date of each process plan) by the system, implementing equipment monitoring, filling witness records, a monitoring daily report, a monitoring weekly report, a monitoring monthly report and the like in a monitoring witness management module according to specified time nodes, automatically producing a monitoring daily report, a weekly report and a monthly report matrix (the initial is empty, 0 is set when overdue is not crossed, submission is changed into 1) and a quality problem matrix (the initial is empty matrix, a sub item 1 is added when recording checking out unqualified items, a problem processing transformation is changed into 0), and a progress deviation matrix (the initial is empty matrix, a sub item 1 is added when recording checking out progress deviation, and a 0 is obtained when the process is completed). The judging module judges whether progress risks, inconsistent quality and incomplete data occur or not according to time nodes (the comparison between a process progress planning matrix and the current date is less than N days), parameter index witness results (a quality problem matrix is newly added by 1) in witness records, daily production progress and routing inspection conditions (whether a progress deviation matrix is newly added by 0, a monitoring daily report, a weekly report and a monthly report matrix are newly added by 0) in monitoring daily reports, and then sends out quality to the monitoring and early warning module to carry out monitoring and early warning on the progress, monitoring and early warning on the quality and monitoring and early warning on the monitoring and data. And the judging module is used for removing corresponding early warning after judging that the process node is finished (the sub item corresponding to the process matrix is 1), the quality problem is closed loop (the sub item corresponding to the quality problem matrix is changed into 0), and the monitoring data is submitted (the sub item corresponding to the data matrix is 1). And when the judging module judges that all the processes are finished and witness records and reports are completely submitted (the data matrix is all 1), the tasks are filed, and the whole process closed-loop management of the monitoring and manufacturing tasks is realized.
The quality problem processing module 60 enables the owner, the monitoring unit and the manufacturing unit to participate in quality problem processing together in the system, submits a monitoring summary report after quality problem closed-loop processing, and updates the historical case base 82 for process quality analysis of subsequent monitoring tasks.
The above description is only an embodiment of the present invention, but the scope of the present invention is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present invention are included in the scope of the present invention.
Claims (8)
1. The utility model provides a closed loop management system is made in overall process prison based on triple early warning which characterized in that: the system comprises a task management module (10), a process progress management module (20), a witness management module (30), a judgment module (40), a monitoring and early warning module (50), a quality problem processing module (60), a comprehensive management module (70) and a task filing module (80);
the task management module (10) is used for establishing an equipment monitoring task;
the process progress management module (20) is connected with the task management module (10) and is used for distributing process composition and associated witness records according to the established equipment monitoring task, and each witness record is respectively associated with a corresponding process node in the process progress;
the witness management module (30) is used for receiving witness records, daily witness reports, weekly witness reports, monthly witness reports and summary reports which are recorded by a monitoring person according to a standardized record template, wherein the witness records are witness of essential protocol items in the equipment manufacturing process, the witness records adopt the standardized record module to record witness results of witness items of all working procedures, the daily witness records the manufacturing progress condition of each working procedure every day, and the weekly witness reports and the monthly witness records the stage monitoring condition;
the judging module (40) is used for judging whether progress risks, incomplete data and inconsistent quality exist according to the entered witness records and the monitoring daily reports, if so, an instruction is sent to the monitoring early warning module (50) to respectively carry out monitoring progress early warning, monitoring data early warning and monitoring quality early warning, when the quality is inconsistent, the quality problem processing module (60) reports, classifies, processes and releases problems, the quality problem processing module (60) forms standard documents in the processing process and transfers the standard documents to the comprehensive management module (70), and the judging module (40) is also used for transferring to a monitoring summary report according to monitoring weekly reports, monitoring monthly reports completion conditions and process progress completion conditions;
the comprehensive management module (70) is used for providing data support for the judgment module (40), and when the monitoring records in the witness verification management module (30) are completely finished and the quality problem is completely closed-loop, the comprehensive management module enters the task filing module (80) to finish the whole process closed-loop management of the monitoring task;
the principle of progress risk determination includes: (1) adding 1 to the progress deviation matrix; (2) the difference from the process planning node is only N days, the corresponding item of the process matrix is 0, wherein N is the appointed number of days, and the difference delta t between the process progress planning matrix and the actual date is less than N; the quality non-conformity judgment principle comprises the following steps: (1) the witness record shows that the product is unqualified; (2) monitoring the daily report display quality problem; (3) adding 1 to the quality problem matrix; the data incompletion judgment principle comprises: (1) monitoring that a daily report matrix, a weekly report matrix or a monthly report matrix is 0; (2) the quality problem matrix contains 1; (3) the process progress is early warned, but the witness record matrix contains 1; (4) the supervision summary report is not submitted.
2. The triple-early-warning-based full-process supervision closed-loop management system according to claim 1, characterized in that: the process progress management module (20) correspondingly generates a process matrix and a witness item matrix when distributing process components and associated witness records, the witness management module (30) modifies the witness item matrix, the witness daily report, the witness weekly report, the witness monthly report, the quality problem matrix and the progress deviation matrix according to the recorded witness records and the witness daily reports, and the quality problem matrix and the progress deviation matrix are initially empty matrices.
3. The triple-early-warning-based full-process supervision closed-loop management system according to claim 2, characterized in that: the witness management module (30) compares witness results recorded by the witness records with standards, whether quality requirements are met is automatically checked, and if the checking quality is unqualified, sub items are automatically added to the quality problem matrix; when the witness record is submitted and the quality problem matrix is 0, the corresponding item in the witness item matrix is changed into 1; when unqualified items or quality problems are selected in the monitoring daily report, the witness record and the routing inspection record table, the sub item 1 is automatically added to the quality problem matrix, and if the progress deviation is selected, the sub item 1 is added to the progress deviation matrix.
4. The triple-early-warning-based full-process supervision closed-loop management system according to claim 2, characterized in that: if the judgment module (40) finds that the progress deviation matrix or the quality problem matrix is newly added with 1, the judgment module is switched to a quality problem processing module (60) and a monitoring and manufacturing early warning module (50), all the process progress is finished, and if the process matrix is all 1, a summary report is entered.
5. The triple-early-warning-based full-process supervision closed-loop management system according to claim 1, characterized in that: the witness records comprise witness of equipment raw material performance, witness of process quality, witness of assembly quality and performance of components, witness of qualification of special workers and witness of equipment delivery tests.
6. A full-process supervision and construction closed-loop management method based on triple early warning is characterized by comprising the following steps:
the task management module (10) establishes an equipment monitoring task;
the process progress management module (20) distributes process components according to the established equipment monitoring task
And the associated witness records, each witness record is respectively associated with the corresponding process node in the process progress;
the witness management module (30) receives witness records, daily witness reports, weekly witness reports, monthly witness reports and summary reports which are recorded by a monitoring person according to a standardized record template, wherein the witness records are witness of essential protocol items in the equipment manufacturing process, the witness records adopt the standardized record module to record witness results of all procedure witness items, the daily witness reports record the manufacturing progress condition of each procedure every day, and the weekly witness reports and the monthly witness reports record the periodic monitoring condition;
the judging module (40) judges whether progress risks, incomplete data and inconsistent quality exist according to the entered witness records and the monitoring daily reports, if so, an instruction is sent to the monitoring and early warning module (50) to respectively carry out monitoring and early warning on progress, monitoring and early warning on data and monitoring and early warning on quality, when the quality is inconsistent, the quality problem processing module (60) carries out notification, classification, processing and releasing on the problems, and the quality problem processing module (60) forms standard documents in the processing process and transfers the standard documents to the comprehensive management module (70);
the comprehensive management module (70) provides data support for the judgment module (40), and when the monitoring records in the witness verification management module (30) are completely finished and the quality problem is completely closed-loop, the comprehensive management module enters the task filing module (80) to complete the whole process closed-loop management of the monitoring task;
the principle of progress risk determination includes: (1) adding 1 to the progress deviation matrix; (2) the difference from the process planning node is only N days, the corresponding item of the process matrix is 0, wherein N is the appointed number of days, and the difference delta t between the process progress planning matrix and the actual date is less than N; the quality non-conformity judgment principle comprises the following steps: (1) the witness record shows that the product is unqualified; (2) monitoring the daily report display quality problem; (3) adding 1 to the quality problem matrix; the data incompletion judgment principle comprises: (1) monitoring that a daily report matrix, a weekly report matrix or a monthly report matrix is 0; (2) the quality problem matrix contains 1; (3) the process progress is early warned, but the witness record matrix contains 1; (4) the supervision summary report is not submitted.
7. The full-process supervision closed-loop management method based on triple pre-warning as claimed in claim 6, characterized in that: the process progress management module (20) correspondingly generates a process matrix and a witness item matrix when distributing process compositions and associated witness records, the witness management module (30) modifies the witness item matrix, the witness daily report, the witness weekly report, the witness monthly report, the quality problem matrix and the progress deviation matrix according to the recorded witness records and the witness daily reports, and the quality problem matrix and the progress deviation matrix are initially empty matrices; the witness management module (30) compares witness results recorded by the witness records with standards, whether quality requirements are met is automatically checked, and if the checking quality is unqualified, sub items are automatically added to the quality problem matrix; when the witness record is submitted and the quality problem matrix is 0, the corresponding item in the witness item matrix is changed into 1; when unqualified items or quality problems are selected in the monitoring daily report, the witness record and the routing inspection record table, the sub item 1 is automatically added to the quality problem matrix, and if the progress deviation is selected, the sub item 1 is added to the progress deviation matrix.
8. The full-process supervision closed-loop management method based on triple pre-warning as claimed in claim 6, characterized in that: the witness records comprise witness of equipment raw material performance, witness of process quality, witness of assembly quality and performance of components, witness of qualification of special workers and witness of equipment delivery tests.
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| CN109272261A (en) * | 2018-11-21 | 2019-01-25 | 国网经济技术研究院有限公司 | A kind of prison makes live real-time management platform |
| CN109542880A (en) * | 2018-11-28 | 2019-03-29 | 上海众深科技股份有限公司 | A kind of method for early warning of device fabrication quality problems |
| CN109840696B (en) * | 2019-01-11 | 2023-05-26 | 广东电网有限责任公司 | Scheduling work whole process control method and system based on closed-loop management |
| CN112381250A (en) * | 2020-12-02 | 2021-02-19 | 北京数途科技有限公司 | Equipment early management system |
| CN113393164A (en) * | 2021-07-09 | 2021-09-14 | 中车青岛四方机车车辆股份有限公司 | Real-time card control method and system for product quality |
| CN113971464A (en) * | 2021-10-21 | 2022-01-25 | 国网安徽省电力有限公司物资分公司 | Remote monitoring system for distribution transformer production |
| CN115730803B (en) * | 2022-11-29 | 2024-03-22 | 陈杰 | Intelligent monitoring and management method for maintenance progress of building house based on artificial intelligence |
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