CN115994187A - Hidden danger link type full-period safety management method and system based on distributed collaboration - Google Patents

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

Hidden danger link-based full-cycle security management method and system based on distributed collaboration

Technical field:

The invention relates to the field of power grid data management, in particular to a hidden danger link-type full-cycle security management method and system based on distributed collaboration.

Background technique:

The development of society drives the urbanization process to accelerate, and the demand and scale of electricity consumption are also increasing year by year. The fault problems of the transmission network are also gradually increasing. At present, each department and unit formulates a plan for troubleshooting hidden dangers that suits its own situation, usually combining spot inspection, patrol inspection, and maintenance, and regularly conducts hidden dangers on a daily, weekly, monthly, quarterly, and annual basis. Check and sort out the hidden danger management situation. Implement the inspection and management of hidden dangers to relevant positions, assign responsibilities to individuals, and improve the hidden danger prevention guarantee system

However, at present, there are many inconveniences in the summary and management of equipment hidden dangers in **power supply companies. 1. Many problems that have not been dealt with for a long time are automatically precipitated, and there is a lack of timely supervision and promotion management; 2. Abnormal items and unqualified hidden danger inspection tasks Items cannot be managed and classified as a whole. There are many hidden dangers, many classifications, and wide distribution. Relying on the current electronic meter management, effective analysis cannot be carried out; 3. The process management of hidden danger prevention and incentive measures is insufficient, and it is necessary to further implement the standardization of equipment hidden dangers Closed-loop management; 4. The processing cycle is long and there are insufficient personnel. Many hidden dangers need to be dealt with across departments, and collaboration is inconvenient, which makes it difficult to follow up the progress in time; Unfamiliar with the operation of other equipment, resulting in reports and archives of low quality and inconsistent standards.

Invention content:

In order to solve the above technical problems, the present invention provides a hidden danger link-based full-cycle safety management method based on distributed collaboration, which realizes standardized entry of hidden dangers and task-driven tracking management, and can effectively improve hidden danger feedback, policy formulation, on-site The convenience of disposal reduces the feedback time and process.

In order to solve the above technical problems, a technical solution provided by the present invention is: a hidden danger link-based full-cycle security management method based on distributed collaboration, the steps of which are:

Step 1, constructing a hidden danger comprehensive database, and partitioning the hidden danger comprehensive database;

Step 2, collecting historical hidden danger data and real-time hidden danger information and uploading and storing them in different storage areas of the comprehensive hidden danger database;

Step 3: The server retrieves the uploaded real-time hidden danger information from the hidden danger comprehensive database in real time, and retrieves the same type of historical hidden danger data from the hidden hidden danger comprehensive database according to the type of real-time hidden danger information, and performs data analysis on the real-time hidden danger information and historical hidden danger data , to visualize the analyzed data;

Step 4. Manually audit the analysis data displayed visually, classify the hidden danger level of the uploaded real-time hidden danger information according to the audit standard, and store the real-time hidden danger information in different storage areas in the database according to the classification results;

Step 5. Push the hidden danger information to the maintenance personnel according to the work tasks of the maintenance personnel and the hidden danger degree of the real-time hidden danger information.

Further, in the first step, the hidden danger comprehensive database adopts MySQL database, and the method of partitioning the hidden danger comprehensive database is manual horizontal partition or vertical partition.

Further, in said step 2, the method of collecting historical hidden danger data is: manual entry according to the previous paper version of the fault maintenance record or copy entry according to the past electronic version of the fault maintenance record, and mark the historical hidden danger data Classification.

Further, in the second step, the method of collecting real-time hidden danger information is: on-site inspectors upload hidden dangers through handheld terminal smart devices or PCs by taking pictures and/or recording, and mark and classify the real-time hidden danger information.

Further, in the step 3, the method for the server to retrieve and upload the real-time hidden danger information from the comprehensive hidden danger database in real time is as follows:

(1) The server regularly sends monitoring information to the hidden danger comprehensive database;

(2) If no real-time fault information is stored in the hidden danger comprehensive database, then generate feedback information and return to the server, and return to (1);

(3) If there is real-time fault information stored in the hidden danger comprehensive database, the time information stored in the real-time fault information is obtained and returned to the server, and the server sorts the obtained time information, and retrieves the real-time hidden danger with the longest storage time from the hidden hidden danger comprehensive database Information, loop (3) until all real-time fault information is retrieved and then return to (1).

Further, in the third step, the data analysis method of the real-time hidden danger information and the historical hidden danger data is as follows: comparing the real-time fault information with the historical hidden danger data, and finding out the item with the highest similarity in the historical hidden danger data.

Further, in the step 4, the process of classifying the hidden danger degree of the uploaded real-time hidden danger information is: check the maintenance complexity of historical hidden dangers in the similar historical hidden danger data, the time when hidden dangers cause failures, and the maintenance complexity after hidden dangers cause failures and the losses caused by hidden dangers, and classify the real-time hidden danger information according to the corresponding priority.

Further, in the step 5, according to the hidden danger degree of the real-time hidden danger information, the top-ranked real-time hidden danger information is preferentially retrieved and pushed to the maintenance personnel, and then according to the maintenance personnel's daily workload and the maintenance complexity of the real-time hidden danger information Continue to call the real-time hidden danger information of the follow-up ranking and push it to the maintenance personnel.

In order to solve the above-mentioned technical problems, another technical solution provided by the present invention is: a hidden danger link-based full-cycle security management system based on distributed collaboration based on the above-mentioned method, which is characterized in that it includes an information collection module, a service module, The display module and the database, the information collection module and the database are connected wirelessly, and the service module is connected with the display module and the database, wherein:

Information collection module: collect historical hidden danger data and real-time hidden danger information and upload them to the comprehensive hidden danger database;

Service module: partition the hidden danger comprehensive database; retrieve the uploaded real-time hidden danger information from the hidden hidden danger comprehensive database in real time, and retrieve the same type of historical hidden danger data from the hidden hidden danger comprehensive database according to the type of real-time hidden danger information. Perform data analysis on historical hidden danger data, and send the analyzed data to the display module; conduct manual review on the visually displayed analysis data, classify the hidden danger degree of the uploaded real-time hidden danger information according to the audit standard, and send the real-time hidden danger information to Comprehensive database of hidden dangers; according to the work tasks of maintenance personnel and the degree of hidden dangers of real-time hidden danger information, push the hidden danger information to maintenance personnel;

Display module: visually display the analysis data sent by the service module;

Database: The historical hidden danger data and real-time hidden danger information sent by the information collection module are stored in different storage areas, and the real-time hidden danger information sent by the service module is processed.

Further, the service module is connected with a human-computer interaction device that facilitates partitioning of the hidden danger comprehensive database and manual review of the visually displayed analysis data.

The beneficial effects of the present invention are:

1. Based on historical hidden danger data, this application establishes a comprehensive database of hidden dangers, designs multiple data types and processing authority, and makes the full-cycle processing of hidden dangers form a complete closed loop. Through the comprehensive analysis of historical hidden dangers, it focuses on the three main points of discovery, review and rectification The research and analysis of nodes, and the subdivision of processes and responsibilities can enable better division of labor and collaboration.

2. This application only needs to take a picture or talk about the recording to easily report hidden dangers, realize standardized entry of hidden dangers, task-driven tracking, evaluation, governance and supervision progress management. The project results can effectively improve the convenience of hidden danger feedback, strategy formulation, and on-site disposal, reduce the feedback time and process, significantly improve the efficiency of hidden danger handling, improve the company's lean governance level, and ensure the stable operation of the power grid.

3. Supervise and promote the management of hidden dangers in real time to prevent the problem of hidden dangers that cannot be dealt with automatically for a long time; classify and manage hidden danger information and evaluate the degree of hidden dangers, and solve the problem of uncoordinated management of abnormal items and unqualified items of hidden danger inspection tasks Classification, the number of hidden dangers is large, the classification is large, and the distribution is wide. Relying on the current electronic meter management, it is impossible to carry out effective analysis of the problem; because the hidden danger information is pushed one by one and assigned to specific maintenance personnel, the responsibility is assigned to the person, and the hidden dangers are solved. Preventive incentives, etc. On the one hand, insufficient process management leads to insufficient standardized closed-loop management of equipment hidden dangers; automatic push and evaluation review solves the problem of long processing cycle and insufficient personnel in the existing technology. Many hidden dangers require cross-departmental processing, and collaboration is inconvenient, resulting in progress Problems that are not easy to follow up in time; the whole process is digitally managed, the information track can be traced, and the standardization procedure of hidden danger files can be improved.

In order to make the above and other objects, features and advantages of the present invention more comprehensible, preferred embodiments will be described in detail below with accompanying figures.

Description of drawings:

In order to more clearly illustrate the present invention or the technical solutions in the prior art, the following will briefly introduce the accompanying drawings that need to be used in the description of the embodiments. Obviously, the accompanying drawings in the following description are only two of the present invention. For those of ordinary skill in the art, other drawings can also be obtained based on these drawings on the premise of not paying creative work.

Fig. 1 is a flowchart of the method in the present application.

Fig. 2 is a schematic diagram of the system in this application.

Detailed ways:

Embodiments of the present invention will be described in detail below with reference to the accompanying drawings. Although certain embodiments of the invention are shown in the drawings, it should be understood that the invention may be embodied in various forms and should not be construed as limited to the embodiments set forth herein; A more thorough and complete understanding of the present invention. It should be understood that the drawings and embodiments of the present invention are for exemplary purposes only, and are not intended to limit the protection scope of the present invention.

It should be understood that the various steps described in the method implementation manners of the present invention may be performed in different orders. Additionally, method embodiments may include additional steps that omit performing the illustrated steps. The scope of the invention is not limited in this regard.

The names of messages or information exchanged between multiple devices in the embodiments of the present invention are used for illustrative purposes only, and are not used to limit the scope of these messages or information.

Example

As shown in Figure 1, this application discloses a hidden danger link-based full-cycle security management method based on distributed collaboration, the steps of which are:

Step S1, constructing a hidden danger comprehensive database, and partitioning the hidden danger comprehensive database;

Step S2, collecting historical hidden danger data and real-time hidden danger information and uploading and storing them in different storage areas of the comprehensive hidden danger database;

Step S3, the server retrieves the uploaded real-time hidden danger information from the hidden danger comprehensive database in real time, and retrieves the same type of historical hidden danger data from the hidden hidden danger comprehensive database according to the type of real-time hidden danger information, and performs data analysis on the real-time hidden danger information and historical hidden danger data , to visualize the analyzed data;

Step S4, manually auditing the analysis data displayed visually, classifying the hidden danger level of the uploaded real-time hidden danger information according to the auditing standard, and storing the real-time hidden danger information in different storage areas in the database according to the classification result;

Step S5 , according to the work tasks of the maintenance personnel and the hidden danger level of the real-time hidden danger information, push the hidden danger information to the maintenance personnel.

In the step S1, the hidden danger comprehensive database adopts MySQL database, and the method of partitioning the hidden danger comprehensive database is manual horizontal partition or vertical partition.

Wherein, the manual partitioning is performed by manual interactive equipment, such as keyboard, mouse, loudspeaker and voice input equipment.

In the step S2, the method of collecting historical hidden danger data is: manual entry according to the past fault maintenance records of the paper version or copy entry according to the past electronic version of the fault maintenance records, and mark and classify the historical hidden danger data.

Among them, the method of collecting real-time hidden danger information is: on-site inspectors upload hidden dangers through handheld terminal smart devices or PCs by taking pictures and/or recording, and mark and classify the real-time hidden danger information.

Use handheld terminals to conduct on-site inspections to ensure that safety inspections are in place, and you can contact relevant departments at any time to clarify inspection objects and standards in system applications, improve inspection quality and efficiency, and be able to work anytime and anywhere, which is conducive to improving the overall efficiency of the enterprise and promoting teamwork. Spirit, strengthening teamwork construction can further save internal friction, and using hand-held smart terminal distributed collaboration can complete projects better and faster.

Label classification can be directly classified according to the specific name of the substation equipment in the power supply and transformation system, such as: transmission line, insulator, transformer, circuit breaker..., that is, which substation equipment the hidden danger appears on, the substation equipment should be used to identify the hidden danger. Hidden hazards are named, and historical hidden danger data and real-time hidden danger information are marked and classified, which is convenient for personnel to quickly identify faulty equipment and improve work efficiency.

Historical hidden danger data and real-time hidden danger information include hidden danger location and hidden danger degree; Among them, historical hidden danger data also includes the maintenance complexity of historical hidden danger (the time required for maintenance), the time when hidden danger causes failure (the time when hidden danger turns into failure), the time caused by hidden danger Maintenance complexity after failure (the time required to repair the failure after the hidden danger turns into a failure) and the loss caused by the failure caused by the hidden danger (after the hidden danger turns into a failure, the time cost, economic cost and labor cost caused by the failure); among them, the real-time The hidden danger information also includes the geographical location of the hidden danger, the responsible inspection personnel and their contact information, and the responsible maintenance personnel and their contact information.

In the step S3, the way in which the server retrieves the uploaded real-time hidden danger information from the comprehensive hidden danger database in real time is:

(1) The server regularly sends monitoring information to the hidden danger comprehensive database;

(2) If no real-time fault information is stored in the hidden danger comprehensive database, then generate feedback information and return to the server, and return to (1);

(3) If there is real-time fault information stored in the hidden danger comprehensive database, the time information stored in the real-time fault information is obtained and returned to the server, and the server sorts the obtained time information, and retrieves the real-time hidden danger with the longest storage time from the hidden hidden danger comprehensive database Information, loop (3) until all real-time fault information is retrieved and then return to (1).

Only when there is no real-time fault information stored in the hidden danger comprehensive database, the server will regularly send monitoring information to the hidden hidden danger comprehensive database; when there is real-time fault information stored in the hidden hidden danger comprehensive database, the rule for retrieving real-time hidden danger information from the hidden hidden danger comprehensive database is : After the personnel manually review the real-time hidden danger information displayed visually, the human-computer interaction device manually clicks the button to retrieve the real-time hidden danger information. The comprehensive database of hidden dangers sends monitoring information; thereby reducing the detection frequency and saving power.

Among them, the data analysis method of the real-time hidden danger information and the historical hidden danger data is: comparing the real-time fault information with the historical hidden danger data, and finding the item with the highest similarity in the historical hidden danger data.

In said step S4, the process of classifying the hidden danger degree of the uploaded real-time hidden danger information is: check the maintenance complexity of historical hidden dangers in the same historical hidden danger data, the time when hidden dangers cause failures, the maintenance complexity and hidden dangers after hidden dangers cause failures The loss caused by the failure, and according to the corresponding priority, the real-time hidden danger information is classified into failure levels.

The priority of the fault level is the maintenance complexity of historical hidden dangers > the loss caused by the hidden danger > the maintenance complexity after the hidden danger caused the fault > the time when the hidden danger caused the fault; the specific is the scoring system, and the scores are changed from large to small according to the priority, in order: 4, 3, 2, 1; When the maintenance complexity of historical hidden dangers, the loss caused by hidden dangers caused by failures, the maintenance complexity after hidden dangers caused failures, and the time of hidden dangers causing failures are greater than the set threshold, the corresponding score will be obtained, and less than the set threshold When the threshold is set, the score is zero, and finally the total score is obtained by adding all the scores (the higher the total score, the more urgent the hidden danger needs to be dealt with). If the total score is greater than or equal to 5, it will be marked as a first-level hidden danger, and if the total score is less than 5, it will be marked as a second-level hidden danger. level hazards.

In said step S5, according to the degree of hidden danger of the real-time hidden danger information, the real-time hidden danger information of the top ranking is preferentially transferred and pushed to the maintenance personnel, and then the adjustment is continued according to the daily workload of the maintenance personnel and the maintenance complexity of the real-time hidden danger information Get the real-time hidden danger information of the follow-up ranking and push it to the maintenance personnel.

Prioritize the top-ranked real-time hidden danger information and push it to the maintenance personnel. In the case of the same fault level, sort it according to the above total score; for example, the daily workload of maintenance personnel is 6 hours, and push The maintenance complexity (time required for maintenance) of the real-time hidden danger information for the maintenance personnel should be less than 6 hours. Among them, when the maintenance complexity of a single real-time hidden danger information is greater than 6 hours, the push rule is changed, and the real-time hidden danger information Push it to the maintenance dispatch center, and the maintenance personnel will be dispatched manually in real time for maintenance.

Realize the statistical analysis of the investigation of hidden dangers of accidents, and report to the main person in charge and relevant departments. For major hidden dangers of accidents, they should report to the higher safety production supervision department and relevant departments in a timely manner according to regulations, and the maintenance personnel will be dispatched manually in real time for maintenance .

Confirm the hidden dangers of major accidents reported in the investigation in a timely manner. If it is a hidden danger of a major accident (maintenance complexity is greater than 6 hours), the Ministry of Safety shall file, monitor and list it for supervision; if it is not a hidden danger of a major accident (maintenance complexity is greater than 6 hours), but it is difficult to eliminate it in a short period of time, relevant responsibilities shall be assigned people make corrections. It is necessary to clarify the person responsible for the main body of rectification and monitoring, so as to facilitate the elimination of hidden dangers and accountability.

In order to solve the above-mentioned technical problems, the present invention provides a kind of hidden danger link-based full-cycle security management system based on distributed cooperation based on the above-mentioned method, including an information collection module 21, a service module 23, a display module 24 and a database 22, The information collection module 21 communicates with the database 22 by wireless, and the service module 23 communicates with the display module 24 and the database 22, wherein:

Information collection module 21: collect historical hidden danger data and real-time hidden danger information and upload them to the comprehensive hidden danger database;

Service module 23: Partition the hidden danger comprehensive database; retrieve the uploaded real-time hidden danger information from the hidden hidden danger comprehensive database in real time, and transfer the same type of historical hidden danger data from the hidden hidden danger comprehensive database according to the type of real-time hidden danger information, and real-time hidden hidden danger information Perform data analysis with historical hidden danger data, and send the analyzed data to the display module; manually review the analyzed data displayed visually, classify the hidden danger degree of the uploaded real-time hidden danger information according to the audit standard, and send the real-time hidden danger information according to the classification result Go to the comprehensive database of hidden dangers; push the hidden danger information to the maintenance personnel according to the work tasks of the maintenance personnel and the hidden danger level of the real-time hidden danger information;

Display module 24: visually display the analysis data sent by the service module 23;

Database 22: Store the historical hidden danger data and real-time hidden danger information sent by the information collection module 21 in different storage areas, and store the real-time hidden danger information sent by the service module 23.

Wherein, the service module is connected with a human-computer interaction device that is convenient for partitioning the comprehensive database of hidden dangers and manually reviewing the analysis data displayed visually.

The method steps disclosed above are implemented by using the disclosed system.

The above descriptions of the various embodiments tend to emphasize the differences between the various embodiments, the same or similar points can be referred to each other, for the sake of brevity, the present application will not repeat them.

Note that the above are only preferred embodiments of the present invention and applied technical principles. Those skilled in the art will understand that the present invention is not limited to the specific embodiments herein, and various obvious changes, readjustments and substitutions can be made by those skilled in the art without departing from the protection scope of the present invention. Therefore, although the present invention has been described in detail through the above embodiments, the present invention is not limited to the above embodiments, and can also include more other equivalent embodiments without departing from the concept of the present invention, and the present invention The scope is determined by the scope of the appended 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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