CN115994187A - Hidden danger link type full-period safety management method and system based on distributed collaboration - Google Patents
Hidden danger link type full-period safety management method and system based on distributed collaboration Download PDFInfo
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- CN115994187A CN115994187A CN202310083641.7A CN202310083641A CN115994187A CN 115994187 A CN115994187 A CN 115994187A CN 202310083641 A CN202310083641 A CN 202310083641A CN 115994187 A CN115994187 A CN 115994187A
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
Abstract
The invention discloses a hidden danger link type full-period safety management method and system based on distributed collaboration, wherein S1, a hidden danger comprehensive database is constructed and partitioned; s2, acquiring historical hidden danger data and real-time hidden danger information and uploading the historical hidden danger data and the real-time hidden danger information to a hidden danger comprehensive database; s3, the server retrieves real-time hidden danger information, performs data analysis according to the type history hidden danger data of the real-time hidden danger information, and performs visual display on the analysis data; s4, performing manual auditing and classification on the analysis data, and storing real-time hidden danger information in a database according to a classification result; s5, pushing hidden danger information to maintenance personnel according to the work task of the maintenance personnel and the hidden danger degree of the real-time hidden danger information; the method and the system design multiple data types and processing authorities, so that the full-period processing of hidden dangers forms a complete closed loop, and research and analysis are mainly carried out on three trunk nodes for discovering, rechecking and rectifying hidden dangers, so that better division and cooperation can be carried out.
Description
Technical field:
the invention relates to the field of power grid data management, in particular to a hidden danger link type full-period safety management method and system based on distributed cooperation.
The background technology is as follows:
the development of society drives the urbanization process to accelerate, and the electricity demand and scale are also rising year by year. The fault problems of the power transmission network are gradually increased, the current departments make up hidden trouble investigation plans conforming to the self conditions, and the hidden trouble investigation and hidden trouble treatment conditions are usually combined by spot inspection, inspection and maintenance and periodically checked according to the days, weeks, months, seasons and years. The hidden danger inspection and treatment are implemented to relevant posts, responsibility is achieved to people, and a hidden danger prevention and guarantee system is perfected
However, the summary and management of the hidden trouble of the equipment of the power supply company are inconvenient, 1, the problems which are not treated for a long time are automatically precipitated, and the prompt supervision and propulsion management are not needed; 2. abnormal items and unqualified items of the hidden danger inspection task cannot be comprehensively managed and classified, the hidden danger quantity is large, the classification is large, the distribution is wide, and effective analysis cannot be performed by means of current electronic watch management; 3. the hidden danger prevention and excitation measures are insufficient in flow management, and the standardized closed-loop management of the hidden danger of the equipment needs to be further realized; 4. the processing flow has long period, people are not enough, and the progress is inconvenient to follow in time because of the fact that a plurality of hidden danger processes need to be processed across departments and the cooperation is inconvenient; 5. the hidden trouble archives standardization procedure is to be promoted, because some staff are unfamiliar to equipment operations such as computer, camera, leads to report and archives quality not high, and the standard is different.
The invention comprises the following steps:
in order to solve the technical problems, the invention provides a hidden danger link type full-period safety management method based on distributed cooperation, which realizes standardized input and task-driven tracking management of hidden danger, can effectively improve hidden danger feedback, strategy formulation and convenience of on-site disposal, and reduces feedback time and flow.
In order to solve the technical problems, the invention provides a technical scheme that: a hidden danger link type full-period safety management method based on distributed cooperation comprises the following steps:
step one, constructing a hidden danger comprehensive database, and partitioning the hidden danger comprehensive database;
step two, acquiring historical hidden danger data and real-time hidden danger information, uploading the historical hidden danger data and the real-time hidden danger information and storing the historical hidden danger data and the real-time hidden danger information in different storage areas of a hidden danger comprehensive database;
step three, the server retrieves the uploaded real-time hidden danger information from the hidden danger comprehensive database in real time, retrieves the same type of historical hidden danger data from the hidden danger comprehensive database according to the type of the real-time hidden danger information, performs data analysis on the real-time hidden danger information and the historical hidden danger data, and visually displays the analysis data;
step four, manually auditing the visually displayed analysis data, classifying the hidden danger degree of the uploaded real-time hidden danger information according to an auditing standard, and storing the real-time hidden danger information in different storage areas in a database according to classification results;
step five, pushing hidden danger information to maintenance personnel according to the work task of the maintenance personnel and the hidden danger degree of the real-time hidden danger information.
In the first step, the hidden danger comprehensive database adopts MySQL database, and the hidden danger comprehensive database is partitioned manually to perform horizontal partition or vertical partition.
Further, in the second step, the method for collecting the history hidden trouble data is as follows: manually recording according to the past paper version fault maintenance records or copying and recording according to the past electronic version fault maintenance records, and marking and classifying the historical hidden trouble data.
Further, in the second step, the mode of collecting the real-time hidden trouble information is as follows: the on-site inspector performs hidden trouble uploading through a handheld terminal intelligent device or a PC (personal computer) in a photographing and/or recording mode, and marks and classifies the real-time hidden trouble information.
Further, in the third step, the server retrieves the uploaded real-time hidden danger information from the hidden danger comprehensive database in real time in the following manner:
(1) The server sends monitoring information to the hidden danger comprehensive database at regular time;
(2) If the hidden danger comprehensive database does not store the real-time fault information, generating feedback information, returning the feedback information to the server, and returning the feedback information to the step (1);
(3) If the hidden danger comprehensive database stores real-time fault information, acquiring time information stored by the real-time fault information, returning the time information to the server, sequencing the acquired time information by the server, calling the real-time hidden danger information with the longest storage time from the hidden danger comprehensive database, and returning the real-time hidden danger information to the step (1) after the hidden danger comprehensive database is called.
Further, in the third step, the data analysis method for the real-time hidden danger information and the history hidden danger data is as follows: and comparing the real-time fault information with the history hidden danger data, and finding out one item with the highest similarity in the history hidden danger data.
Further, in the fourth step, the process of classifying the hidden trouble degree of the uploaded real-time hidden trouble information is as follows: and checking the maintenance complexity of the historical hidden danger in the similar historical hidden danger data, the time of the hidden danger caused by the fault, the maintenance complexity after the hidden danger caused by the fault and the loss caused after the fault, and classifying the real-time hidden danger information according to the corresponding priority.
Further, in the fifth step, according to the hidden danger degree of the real-time hidden danger information, the real-time hidden danger information with the front ranking is preferentially called and pushed to the maintainer, and then the real-time hidden danger information with the subsequent ranking is continuously called and pushed to the maintainer according to the workload formulated by the maintainer every day and the maintenance complexity of the real-time hidden danger information.
In order to solve the technical problems, the invention provides another technical scheme as follows: the hidden danger link type full-period safety management system based on distributed cooperation based on the method is characterized in that: the system comprises an information acquisition module, a service module, a display module and a database, wherein the information acquisition module is communicated with the database in a wireless manner, and the service module is communicated with the display module and the database, wherein:
and the information acquisition module is used for: collecting historical hidden danger data and real-time hidden danger information and uploading the historical hidden danger data and the real-time hidden danger information to a hidden danger comprehensive database;
and a service module: partitioning the hidden danger comprehensive database; the uploaded real-time hidden danger information is called from the hidden danger comprehensive database in real time, the historical hidden danger data of the same type is called from the hidden danger comprehensive database according to the type of the real-time hidden danger information, the real-time hidden danger information and the historical hidden danger data are subjected to data analysis, and analysis data are sent to a display module; manually auditing the visually displayed analysis data, classifying the hidden danger degree of the uploaded real-time hidden danger information according to an auditing standard, and transmitting the real-time hidden danger information to a hidden danger comprehensive database according to a classification result; pushing hidden danger information to maintenance personnel according to the work task of the maintenance personnel and the hidden danger degree of the real-time hidden danger information;
and a display module: visually displaying the analysis data sent by the service module;
database: the historical hidden danger data and the real-time hidden danger information sent by the information acquisition module are stored in different storage areas, and the real-time hidden danger information sent by the service module is processed.
Furthermore, the service module is connected with man-machine interaction equipment which is convenient for partitioning the hidden danger comprehensive database and manually checking the visually displayed analysis data.
The beneficial effects of the invention are as follows:
1. the method and the system establish a hidden danger comprehensive database based on historical hidden danger data, design multiple data types and processing authorities, enable full-period processing of hidden dangers to form a complete closed loop, and study and analysis are mainly conducted on three trunk nodes of discovery, review and rectification through comprehensive analysis of the historical hidden dangers, and the process and responsibility are subdivided, so that better division and cooperation can be conducted.
2. The hidden danger reporting method and the hidden danger reporting device can conveniently report hidden danger only by taking a photo or a recording, and realize standardized input, task-driven tracking, evaluation, treatment and supervision progress management of hidden danger. The project achievements can effectively improve the convenience of hidden danger feedback, strategy formulation and on-site disposal, reduce feedback time and flow, remarkably improve the efficiency of hidden danger treatment work, improve the lean treatment level of a company and ensure the stable operation of a power grid.
3. The hidden danger is supervised and propelled in real time, so that the problem that the hidden danger cannot deal with automatic precipitation for a long time is solved; the hidden danger information is classified and managed, the hidden danger degree is evaluated, and the problems that abnormal items and unqualified items of hidden danger inspection tasks cannot be comprehensively managed and classified, the hidden danger quantity is large, the classification is large, the distribution is wide, and the hidden danger cannot be effectively analyzed by means of the current electronic watch management are solved; the hidden danger information is pushed and distributed to specific maintenance personnel one by one, responsibility is given to people, and the problems of insufficient standardized closed-loop management of hidden danger equipment caused by insufficient flow management in the aspects of hidden danger prevention excitation measures and the like are solved; the automatic pushing and evaluation auditing method solves the problems that in the prior art, the processing flow period is long, personnel is insufficient, and the progress is inconvenient to follow in time due to inconvenient cooperation because of the need of cross-department processing in many hidden danger processing; the whole process of digital management is realized, the information track is tracked, and the standard program promotion of hidden trouble archives is realized.
The foregoing and other objects, features and advantages of the invention will be apparent from the following more particular description of preferred embodiments, as illustrated in the accompanying drawings.
Description of the drawings:
in order to more clearly illustrate the invention or the technical solutions of the prior art, the drawings that are needed in the description of the embodiments will be briefly described below, it being obvious that the drawings in the description below are only two of the inventions, and that other drawings can be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of the method of the present application.
Fig. 2 is a schematic diagram of the system of the present application.
The specific embodiment is as follows:
embodiments of the present invention will be described in detail below with reference to the accompanying drawings. While the invention is susceptible of embodiment in the drawings, it is to be understood that the invention may be embodied in various forms and should not be construed as limited to the embodiments set forth herein, but rather are provided to provide a more thorough and complete understanding of the invention. It should be understood that the drawings and embodiments of the invention are for illustration purposes only and are not intended to limit the scope of the present invention.
It should be understood that the steps recited in the method embodiments of the present invention may be performed in a different order. Furthermore, method embodiments may include additional steps omitting the execution of the illustrated steps. The scope of the invention is not limited in this respect.
The names of messages or information interacted between the devices in the embodiments of the present invention are for illustrative purposes only and are not intended to limit the scope of such messages or information.
Examples
As shown in fig. 1, the application discloses a hidden danger link type full period safety management method based on distributed collaboration, which comprises the following steps:
s1, constructing a hidden danger comprehensive database, and partitioning the hidden danger comprehensive database;
s2, acquiring historical hidden danger data and real-time hidden danger information, uploading the historical hidden danger data and the real-time hidden danger information and storing the historical hidden danger data and the real-time hidden danger information in different storage areas of a hidden danger comprehensive database;
s3, the server retrieves the uploaded real-time hidden danger information from the hidden danger comprehensive database in real time, retrieves the same type of historical hidden danger data from the hidden danger comprehensive database according to the type of the real-time hidden danger information, performs data analysis on the real-time hidden danger information and the historical hidden danger data, and visually displays the analysis data;
s4, manually auditing the visually displayed analysis data, classifying the hidden danger degree of the uploaded real-time hidden danger information according to an auditing standard, and storing the real-time hidden danger information in different storage areas in a database according to a classification result;
and S5, pushing hidden danger information to maintenance personnel according to the work task of the maintenance personnel and the hidden danger degree of the real-time hidden danger information.
In the step S1, the hidden danger comprehensive database adopts a MySQL database, and the hidden danger comprehensive database is partitioned manually to perform horizontal partition or vertical partition.
Wherein, manual partitioning is performed by adopting manual interaction equipment, such as: keyboard, mouse, microphone and voice input devices.
In the step S2, the method for collecting the history hidden trouble data is as follows: manually recording according to the past paper version fault maintenance records or copying and recording according to the past electronic version fault maintenance records, and marking and classifying the historical hidden trouble data.
The method for acquiring the real-time hidden trouble information comprises the following steps: the on-site inspector performs hidden trouble uploading through a handheld terminal intelligent device or a PC (personal computer) in a photographing and/or recording mode, and marks and classifies the real-time hidden trouble information.
The handheld terminal is used for field inspection, so that safety inspection is ensured to be in place, related departments can be contacted at any time to clearly inspect objects and standards in system application, inspection quality and efficiency are improved, office work can be conducted at any time and any place, the overall efficiency of enterprises is improved, team cooperation spirit is developed, team cooperation construction is enhanced, internal consumption can be further saved, and distributed cooperation can be better and faster completed by using the handheld intelligent terminal.
The tag classification can be directly classified according to specific power transformation equipment names in the power supply and transformation system, for example: the power transmission line, the insulator, the transformer and the circuit breaker … … are used for naming the hidden trouble on which power transformation equipment is present, so that the mark classification of historical hidden trouble data and real-time hidden trouble information is realized, the personnel can conveniently and rapidly determine fault equipment, and the working efficiency is improved.
The historical hidden danger data and the real-time hidden danger information comprise hidden danger positions and hidden danger degrees; the historical hidden danger data also comprises maintenance complexity (time required for maintenance) of the historical hidden danger, time of causing faults (time for converting the hidden danger into faults) of the hidden danger, maintenance complexity (time required for maintaining the faults after converting the hidden danger into the faults) of the hidden danger after causing the faults (time cost, economic cost and labor cost caused by the faults after converting the hidden danger into the faults); the real-time hidden danger information also comprises the geographic position of the hidden danger, a liability inspector, a contact mode, a liability maintainer and a contact mode.
In the step S3, the server retrieves the uploaded real-time hidden danger information from the hidden danger comprehensive database in real time in the following manner:
(1) The server sends monitoring information to the hidden danger comprehensive database at regular time;
(2) If the hidden danger comprehensive database does not store the real-time fault information, generating feedback information, returning the feedback information to the server, and returning the feedback information to the step (1);
(3) If the hidden danger comprehensive database stores real-time fault information, acquiring time information stored by the real-time fault information, returning the time information to the server, sequencing the acquired time information by the server, calling the real-time hidden danger information with the longest storage time from the hidden danger comprehensive database, and returning the real-time hidden danger information to the step (1) after the hidden danger comprehensive database is called.
The server sends monitoring information to the hidden danger comprehensive database at regular time only when the hidden danger comprehensive database does not store real-time fault information; when the hidden danger comprehensive database stores real-time fault information, the rule for calling the real-time hidden danger information from the hidden danger comprehensive database is as follows: after personnel manually audit the visually displayed real-time hidden danger information, manually clicking a start-to-call key through man-machine interaction equipment to call the real-time hidden danger information until the real-time fault information is not stored in the hidden danger comprehensive database, and then sending monitoring information to the hidden danger comprehensive database at regular time; thereby reducing the detection frequency and saving the power.
The method for carrying out data analysis on the real-time hidden danger information and the historical hidden danger data comprises the following steps: and comparing the real-time fault information with the history hidden danger data, and finding out one item with the highest similarity in the history hidden danger data.
In the step S4, the process of classifying the hidden trouble degree of the uploaded real-time hidden trouble information is as follows: and checking the maintenance complexity of the historical hidden danger in the similar historical hidden danger data, the time of the hidden danger caused by the fault, the maintenance complexity after the hidden danger caused by the fault and the loss caused after the fault, and classifying the real-time hidden danger information according to the corresponding priority.
The fault level priority is the time of the maintenance complexity of the history hidden danger > the loss caused by the hidden danger after the fault is caused by the hidden danger > the maintenance complexity after the fault is caused by the hidden danger; the method specifically comprises the steps of grading, wherein the grades are sequentially 4, 3, 2 and 1 according to the priority from large to small; when the maintenance complexity of the historical hidden danger, the loss caused after the hidden danger causes the fault, the maintenance complexity after the hidden danger causes the fault and the time of the hidden danger causing the fault are larger than a set threshold value, corresponding scores are obtained, the scores are zero when the scores are smaller than the set threshold value, and finally, the scores are added to obtain a total score (the higher the total score is, the more urgent the hidden danger needs to be treated), the total score is marked as a first-level hidden danger when the total score is larger than or equal to 5, and the second-level hidden danger is marked as a suspending treatment when the total score is smaller than 5.
In the step S5, according to the hidden danger degree of the real-time hidden danger information, the real-time hidden danger information with the highest ranking is preferentially called and pushed to the maintainer, and then the real-time hidden danger information with the subsequent ranking is continuously called and pushed to the maintainer according to the workload formulated by the maintainer every day and the maintenance complexity of the real-time hidden danger information.
The real-time hidden danger information with the top ranking is preferentially fetched and pushed to maintenance personnel, and the real-time hidden danger information is ranked according to the total score under the condition that the fault grades are the same; if the workload formulated by the maintainer every day is 6 hours, the maintenance complexity (the time required for maintenance) of the real-time hidden danger information pushed to the maintainer every day should be less than 6 hours, wherein when the maintenance complexity of the single real-time hidden danger information is more than 6 hours, the pushing rule is changed, the real-time hidden danger information is pushed to the maintenance scheduling center, and the real-time hidden danger information is manually scheduled for maintenance by the maintainer.
The method realizes statistical analysis on the investigation condition of accident hidden trouble and reports to main responsible persons and related departments, and for major accident hidden trouble, report to upper safety production supervision departments and related departments in time according to regulations, and schedule maintenance personnel for maintenance in real time manually.
And confirming the major accident hidden trouble reported by the investigation in time. Belonging to major accident hidden trouble (the maintenance complexity is more than 6 hours), the safety department should carry out documented monitoring and supervision; not belonging to major accident potential (maintenance complexity is more than 6 hours), but difficult to eliminate in a short period, and responsible persons are obligated to carry out rectification. The principal responsibility person and the monitoring responsibility person are explicitly modified so as to be beneficial to hidden danger elimination and responsibility pursuit.
In order to solve the technical problems, the invention provides a hidden danger link type full-period safety management system based on distributed cooperation based on the method, which comprises an information acquisition module 21, a service module 23, a display module 24 and a database 22, wherein the information acquisition module 21 is communicated with the database 22 in a wireless way, and the service module 23 is communicated with the display module 24 and the database 22, wherein:
information acquisition module 21: collecting historical hidden danger data and real-time hidden danger information and uploading the historical hidden danger data and the real-time hidden danger information to a hidden danger comprehensive database;
service module 23: partitioning the hidden danger comprehensive database; the uploaded real-time hidden danger information is called from the hidden danger comprehensive database in real time, the historical hidden danger data of the same type is called from the hidden danger comprehensive database according to the type of the real-time hidden danger information, the real-time hidden danger information and the historical hidden danger data are subjected to data analysis, and analysis data are sent to a display module; manually auditing the visually displayed analysis data, classifying the hidden danger degree of the uploaded real-time hidden danger information according to an auditing standard, and transmitting the real-time hidden danger information to a hidden danger comprehensive database according to a classification result; pushing hidden danger information to maintenance personnel according to the work task of the maintenance personnel and the hidden danger degree of the real-time hidden danger information;
display module 24: visually displaying the analysis data sent by the service module 23;
database 22: the historical hidden danger data and the real-time hidden danger information sent by the information acquisition module 21 are stored in different storage areas, and the real-time hidden danger information sent by the service module 23 is processed.
The service module is connected with man-machine interaction equipment which is convenient for partitioning the hidden danger comprehensive database and manually checking the visually displayed analysis data.
The above disclosed method steps are implemented by using the disclosed system.
The foregoing description of various embodiments is intended to highlight differences between the various embodiments, which may be the same or similar to each other and is not repeated herein for the sake of brevity.
Note that the above is only a preferred embodiment of the present invention and the technical principle applied. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, while the invention has been described in connection with the above embodiments, the invention is not limited to the embodiments, but may be embodied in many other equivalent forms without departing from the spirit or scope of the invention, which is set forth in the following claims.
Claims (10)
1. A hidden danger link type full-period safety management method based on distributed cooperation comprises the following steps:
step one, constructing a hidden danger comprehensive database, and partitioning the hidden danger comprehensive database;
step two, acquiring historical hidden danger data and real-time hidden danger information, uploading the historical hidden danger data and the real-time hidden danger information and storing the historical hidden danger data and the real-time hidden danger information in different storage areas of a hidden danger comprehensive database;
step three, the server retrieves the uploaded real-time hidden danger information from the hidden danger comprehensive database in real time, retrieves the same type of historical hidden danger data from the hidden danger comprehensive database according to the type of the real-time hidden danger information, performs data analysis on the real-time hidden danger information and the historical hidden danger data, and visually displays the analysis data;
step four, manually auditing the visually displayed analysis data, classifying the hidden danger degree of the uploaded real-time hidden danger information according to an auditing standard, and storing the real-time hidden danger information in different storage areas in a database according to classification results;
step five, pushing hidden danger information to maintenance personnel according to the work task of the maintenance personnel and the hidden danger degree of the real-time hidden danger information.
2. The hidden danger link type full period safety management method based on distributed collaboration according to claim 1, wherein the hidden danger link type full period safety management method based on distributed collaboration is characterized in that: in the first step, the hidden danger comprehensive database adopts a MySQL database, and the hidden danger comprehensive database is partitioned manually to perform horizontal partition or vertical partition.
3. The hidden danger link type full period safety management method based on distributed collaboration according to claim 2, wherein the hidden danger link type full period safety management method based on distributed collaboration is characterized in that: in the second step, the mode of collecting the history hidden trouble data is as follows: manually recording according to the past paper version fault maintenance records or copying and recording according to the past electronic version fault maintenance records, and marking and classifying the historical hidden trouble data.
4. The hidden danger link type full period safety management method based on distributed collaboration according to claim 3, wherein the hidden danger link type full period safety management method based on distributed collaboration is characterized in that: in the second step, the mode of real-time hidden trouble information acquisition is as follows: the on-site inspector performs hidden trouble uploading through a handheld terminal intelligent device or a PC (personal computer) in a photographing and/or recording mode, and marks and classifies the real-time hidden trouble information.
5. The hidden danger link type full period safety management method based on distributed collaboration according to claim 4, wherein the hidden danger link type full period safety management method based on distributed collaboration is characterized in that: in the third step, the server invokes the uploaded real-time hidden danger information from the hidden danger comprehensive database in real time in the following manner:
(1) The server sends monitoring information to the hidden danger comprehensive database at regular time;
(2) If the hidden danger comprehensive database does not store the real-time fault information, generating feedback information, returning the feedback information to the server, and returning the feedback information to the step (1);
(3) If the hidden danger comprehensive database stores real-time fault information, acquiring time information stored by the real-time fault information, returning the time information to the server, sequencing the acquired time information by the server, calling the real-time hidden danger information with the longest storage time from the hidden danger comprehensive database, and returning the real-time hidden danger information to the step (1) after the hidden danger comprehensive database is called.
6. The hidden danger link type full period safety management method based on distributed collaboration according to claim 5, wherein the hidden danger link type full period safety management method based on distributed collaboration is characterized in that: in the third step, the data analysis method for the real-time hidden danger information and the history hidden danger data comprises the following steps: and comparing the real-time fault information with the history hidden danger data, and finding out one item with the highest similarity in the history hidden danger data.
7. The hidden danger link type full period safety management method based on distributed collaboration according to claim 6, wherein the hidden danger link type full period safety management method based on distributed collaboration is characterized in that: in the fourth step, the process of classifying the hidden trouble degree of the uploaded real-time hidden trouble information is as follows: and checking the maintenance complexity of the historical hidden danger in the similar historical hidden danger data, the time of the hidden danger caused by the fault, the maintenance complexity after the hidden danger caused by the fault and the loss caused after the fault, and classifying the real-time hidden danger information according to the corresponding priority.
8. The hidden danger link type full period safety management method based on distributed collaboration according to claim 7, wherein the hidden danger link type full period safety management method based on distributed collaboration is characterized in that: in the fifth step, the real-time hidden danger information ranked at the front is preferentially called according to the hidden danger degree of the real-time hidden danger information and pushed to maintenance personnel, and then the real-time hidden danger information ranked at the subsequent stage is continuously called according to the workload formulated by the maintenance personnel and the maintenance complexity of the real-time hidden danger information and pushed to the maintenance personnel.
9. A hidden danger link type full period safety management system based on distributed cooperation based on the method of any one of claims 1-8, which is characterized in that: the system comprises an information acquisition module, a service module, a display module and a database, wherein the information acquisition module is communicated with the database in a wireless manner, and the service module is communicated with the display module and the database, wherein:
and the information acquisition module is used for: collecting historical hidden danger data and real-time hidden danger information and uploading the historical hidden danger data and the real-time hidden danger information to a hidden danger comprehensive database;
and a service module: partitioning the hidden danger comprehensive database; the uploaded real-time hidden danger information is called from the hidden danger comprehensive database in real time, the historical hidden danger data of the same type is called from the hidden danger comprehensive database according to the type of the real-time hidden danger information, the real-time hidden danger information and the historical hidden danger data are subjected to data analysis, and analysis data are sent to a display module; manually auditing the visually displayed analysis data, classifying the hidden danger degree of the uploaded real-time hidden danger information according to an auditing standard, and transmitting the real-time hidden danger information to a hidden danger comprehensive database according to a classification result; pushing hidden danger information to maintenance personnel according to the work task of the maintenance personnel and the hidden danger degree of the real-time hidden danger information;
and a display module: visually displaying the analysis data sent by the service module;
database: the historical hidden danger data and the real-time hidden danger information sent by the information acquisition module are stored in different storage areas, and the real-time hidden danger information sent by the service module is processed.
10. The hidden danger link type full period safety management system based on distributed collaboration according to claim 9, wherein the hidden danger link type full period safety management system is characterized in that: the service module is connected with man-machine interaction equipment which is convenient for partitioning the hidden danger comprehensive database and manually checking the visually displayed analysis data.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116842240A (en) * | 2023-08-30 | 2023-10-03 | 山东海博科技信息系统股份有限公司 | Data management and control system based on full-link management and control |
| CN117540284A (en) * | 2024-01-10 | 2024-02-09 | 深圳市胜威南方科技有限公司 | PDU operation fault detection method |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116842240A (en) * | 2023-08-30 | 2023-10-03 | 山东海博科技信息系统股份有限公司 | Data management and control system based on full-link management and control |
| CN116842240B (en) * | 2023-08-30 | 2023-12-01 | 山东海博科技信息系统股份有限公司 | Data management and control system based on full-link management and control |
| CN117540284A (en) * | 2024-01-10 | 2024-02-09 | 深圳市胜威南方科技有限公司 | PDU operation fault detection method |
| CN117540284B (en) * | 2024-01-10 | 2024-04-12 | 深圳市胜威南方科技有限公司 | PDU operation fault detection method |
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