CN116501780B - Enterprise audit data analysis processing system and method - Google Patents
Enterprise audit data analysis processing system and method Download PDFInfo
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Abstract
The invention relates to the technical field of enterprise audit data analysis, in particular to an enterprise audit data analysis processing system and method. According to the invention, the inspection standard coincidence coefficient of each project site is analyzed through the safety inspection sheet of each project site, and each project site needing to be re-inspected is screened and processed, so that enterprises are helped to quickly and accurately master the site safety management condition of the project site, and support is provided for the safety management of enterprise projects. Meanwhile, the number of hidden danger points and hidden danger types of each hidden danger point of each project work point are counted, hidden danger correction priority coefficients of each project work point are analyzed, and sorting and displaying are carried out, so that the visual display function of project work point safety inspection form data can be embodied, hidden danger correction priority requirements of the project work points are intuitively displayed, the depth and breadth of enterprise project work point inspection data audit analysis are expanded, the safety guarantee work of the enterprise project work points is further improved, and the safety management level of the enterprise project is improved.
Description
Technical Field
The invention relates to the technical field of enterprise audit data analysis, in particular to an enterprise audit data analysis processing system and method.
Background
As businesses evolve, various business project audit data appear to explosively grow. How to use such data to provide better decision analysis, management and control schemes for enterprises is an important focus of enterprise administrators. The application of data analysis processing technology in enterprise project audit becomes an important means for solving the problem. Data analysis techniques have been widely used in enterprise project auditing by virtue of their ability to process large amounts of data, discover data associations, and increase data value.
Enterprise project audit data analysis techniques are an important tool for enterprises to implement data driven decisions. Although enterprise project audit data analysis achieves significant success in processing large-scale data, there are some drawbacks: 1. the prior art only carries out audit analysis according to project work site safety inspection form data, and has the problems that the safety inspection form data is incomplete, inaccurate and unreliable due to the fact that inspection standards of inspection personnel are not standardized, so that project work site safety inspection form data audit analysis results are not referential and effective, further enterprises cannot be helped to quickly and accurately master project work site safety management conditions, and support cannot be provided for safety management of enterprise projects.
2. The prior art only adopts simple data summary sum form to identify marked hidden danger points, analyzes and processes marked hidden danger point data, but does not conduct scientific and intelligent analysis on safety inspection form data, and has the problem that part of hidden danger points are not marked in time, so that targeted correction measures cannot be formulated aiming at the problem of part of hidden danger points, so that potential safety hazards exist in later project work points, the safety guarantee work of enterprise project work points cannot be improved, and the safety management level of enterprise projects is reduced.
Disclosure of Invention
The invention aims to provide an enterprise audit data analysis processing system and method, which solve the problems in the background technology.
The technical scheme adopted for solving the technical problems is as follows: in a first aspect, the present invention provides an enterprise audit data analysis processing system, comprising: the project safety inspection list acquisition module is used for setting each project work point from the target enterprise project and acquiring the safety inspection list of each project work point.
The project inspection standard coincidence analysis module is used for analyzing inspection standard coincidence coefficients of all project work points, screening all project work points needing to be inspected again and carrying out corresponding processing.
And the monitoring point inspection data analysis module is used for extracting inspection data of each monitoring point from the safety inspection list of each project point, screening each monitoring point without hidden danger, marking the monitoring point as each appointed monitoring point, and counting the inspection data of each appointed monitoring point.
The inspection safety coincidence coefficient analysis module is used for analyzing the inspection safety coincidence coefficient of each appointed monitoring point in each project work point and comparing and counting the number of hidden danger points of each project work point and the hidden danger type of each hidden danger point.
The hidden danger point hidden danger type weight setting module is used for setting weights corresponding to hidden danger types and screening hidden danger type weights of hidden danger points in each project work point.
And the hidden danger correction processing module is used for analyzing hidden danger correction priority coefficients of the project work points and obtaining a project work point ordering result according to the sequence from high to low.
And the display processing terminal is used for displaying the project work point ordering result.
The enterprise audit database is used for storing each historical security inspection list corresponding to each project work point in the target enterprise project and the existing number of each hidden danger type during each historical security inspection, and storing the standard inspection flow number and the standard action image set of each monitoring point in each project work point.
Preferably, the inspection standard coincidence coefficient analysis mode of each project work point is as follows: extracting the number of the monitored points, the number of the non-monitored points and the form establishment time of each project worker point from the safety inspection list of each project worker point, and recording the numbers as，/>，/>The number of each project work point.
Extracting a historical security inspection list corresponding to each project work point in the target enterprise project from an enterprise audit database, which is the latest time from the current time, and obtaining the historical form establishment time of each project work point。
Analyzing to obtain inspection standard coincidence coefficients of all project work pointsWherein，/>Respectively setting standard coincidence weight factors corresponding to the project inspection implementation rate and project work point inspection frequency, < ->For the safety inspection implementation rate corresponding to the preset project work point,for the set->The safety inspection frequency of the project work point.
Preferably, the screening of each project work point needing to be re-inspected and the corresponding processing are performed, which specifically includes: comparing the inspection standard coincidence coefficient of each project site with a preset inspection standard coincidence coefficient threshold, if the inspection standard coincidence coefficient of a project site is smaller than the preset inspection standard coincidence coefficient threshold, counting each project site needing to be re-inspected, marking each marked project site as each marked project site, informing inspection personnel to carry out supplementary inspection on each marked project site to obtain a secondary safety inspection list of each marked project site, further analyzing the inspection standard coincidence coefficient of each marked project site, and if the inspection standard coincidence coefficient of a certain marked project site is still smaller than the preset inspection standard coincidence coefficient threshold, continuing to carry out supplementary inspection on the project site needing to be re-inspected to obtain a three-time safety inspection list of each marked project site, and further analyzing the inspection standard coincidence coefficient of each marked project site until the inspection standard coincidence coefficient of each marked project site is larger than or equal to the preset inspection standard coincidence coefficient.
Preferably, the inspection data of each monitoring point includes reporting time, inspection video, inspection result and hidden danger type, wherein the inspection result is that hidden danger is not found or exists.
Preferably, the inspection safety coincidence coefficient analysis mode of each designated monitoring point in each project working point is as follows: extracting inspection video from inspection data of each appointed monitoring point in each project work point, analyzing to obtain each inspection video frame image of each appointed monitoring point in each project work point, identifying the inspection coincidence flow quantity of each appointed monitoring point in each project work point and the action coincidence quantity of each inspection coincidence flow, and respectively marking as，/>，/>A number of the monitoring point is assigned to each,，/>and (5) designating the serial numbers of the inspection conforming flows in the monitoring points.
Extracting the standard inspection flow quantity of each designated monitoring point in each project work point from enterprise audit databaseAnd the standard action number of each standard inspection flow, further screening the standard action number of each inspection conforming to the flow of each designated monitoring point in each project work point, and marking the standard action number as +.>Analyzing whether the inspection flow of each appointed monitoring point in each project worker point accords with a weight coefficient +.>Wherein->，/>The inspection flow of the project work point accords with the influence factor,is->Item site->And designating the minimum value of the action coincidence quantity ratio of each monitoring point corresponding to each inspection coincidence flow.
Extracting each historical security inspection list corresponding to each project work point stored in the enterprise audit database, and further extracting each appointed monitoring in each project work pointAnalyzing the report time and the inspection video duration of each historical safety inspection list, wherein the inspection time of each designated monitoring point in each project worker point accords with the weight coefficient。
Analysis formula for inspection safety coincidence coefficient according to project work pointsObtaining inspection safety coincidence coefficients of each appointed monitoring point in each project work point>In the formula->And respectively conforming the set project work point inspection flow and inspection time to the influence factors.
Preferably, the analyzing the patrol time of each designated monitoring point in each project work point accords with a weight coefficient specifically includes: extracting reporting time in inspection data of each designated monitoring point in each project work pointObtaining the inspection video duration according to the inspection video of each appointed monitoring point in each project work point, and marking the inspection video duration as +.>Analyzing whether the inspection time of each appointed monitoring point in each project worker point accords with a weight coefficient +.>In the formula->In order to set the constant value of the constant,，/>is->Item site->Designating the monitoring point as->、/>、/>Reporting time of historical security inspection list, < -> ， />For the number of historical security inspection sheets +.>Is->Item site->Designating the monitoring point as->The inspection video duration of the historical security inspection bill.
Preferably, the number of hidden danger points of each project work point and the statistical mode of hidden danger types of each hidden danger point are as follows: comparing the inspection safety coincidence coefficient of each designated monitoring point in each project work point with a preset inspection safety coincidence coefficient threshold value, if the inspection safety coincidence coefficient of a designated monitoring point in a project work point is smaller than the preset inspection safety coincidence coefficient threshold value, the designated monitoring point is a hidden danger point, counting the number of first hidden danger points of each project work point, extracting hidden danger types of each first hidden danger point of each project work point on each historical safety inspection list from an enterprise audit database, counting mode hidden danger types corresponding to each first hidden danger point of each project work point, and taking the hidden danger types as hidden danger types of each first hidden danger point of each project work point.
According to the inspection result of each monitoring point in each project work point, each monitoring point with hidden danger in each project work point is obtained, the number of second hidden danger points of each project work point is counted, and the number of first hidden danger points and the number of second hidden danger points of each project work point are accumulated to obtain the number of hidden danger points of each project work point.
And counting the hidden danger types of the hidden danger points of each project work point according to the hidden danger types of each second hidden danger point of each project work point.
Preferably, the weight setting mode corresponding to each hidden danger type is as follows: according to the hidden danger types of hidden danger points of each project work point, counting the existence quantity of each hidden danger type, and recording the hidden danger types as，/>，/>Numbering each hidden danger type, extracting the existence quantity of each hidden danger type during each historical security inspection of each project work point from an enterprise audit database, and counting the historical existence quantity of each hidden danger type during each historical security inspection>Further setting the weight corresponding to each hidden trouble typeWherein->，/>For the set->And weight influence factors corresponding to the types of the hidden dangers.
Preferably, the hidden trouble correction priority coefficient analysis formula of each project work point is as followsIn the formula->Is->The number of hidden trouble points of project work points, +.>For project site number, < > and->Is->Item site->Hidden danger type weight of each hidden danger point, +.>，/>Is a natural constant.
In a second aspect, the present invention provides a method for analyzing and processing enterprise audit data, including the following steps: s1, acquiring an item security inspection list: setting each project work point from the target enterprise project, and obtaining a safety inspection list of each project work point.
S2, project inspection standard coincidence analysis: and analyzing the inspection standard coincidence coefficient of each project work point, screening each project work point needing to be inspected again, and carrying out corresponding treatment.
S3, analyzing inspection data of the monitoring points: and extracting the inspection data of each monitoring point from the safety inspection list of each project point, screening each monitoring point without hidden danger, marking the monitoring point as each appointed monitoring point, and counting the inspection data of each appointed monitoring point.
S4, analysis of inspection safety coincidence coefficients: and analyzing the inspection safety coincidence coefficient of each appointed monitoring point in each project work point, and comparing and counting the number of hidden danger points of each project work point and the hidden danger type of each hidden danger point.
S5, setting hidden danger type weights of hidden danger points: setting weights corresponding to hidden danger types, and screening hidden danger type weights of hidden danger points in project work points.
S6, hidden danger rectifying and modifying treatment: and analyzing hidden danger rectifying and changing priority coefficients of the project work points, and obtaining and displaying the sequencing results of the project work points according to the sequence from high to low.
Compared with the prior art, the invention has the following beneficial effects: 1. according to the invention, the inspection standard coincidence coefficient of each project site is analyzed through the safety inspection list of each project site, each project site needing to be inspected again is screened and is correspondingly processed, so that the problems of incomplete, inaccurate and unreliable data of the safety inspection list caused by the fact that the inspection standard of an inspection personnel is not standardized are effectively avoided, the data audit analysis result of the safety inspection list of the project site is ensured to have referential property and validity, and further, enterprises are helped to master the site safety management condition of the project site rapidly and accurately, and support is provided for the safety management of the projects of the enterprises.
2. According to the invention, the inspection safety coincidence coefficient of each monitoring point which does not find hidden danger in each project work point is analyzed by screening the inspection data of each monitoring point which does not find hidden danger, and the hidden danger number of each project work point and the hidden danger type of each hidden danger point are compared and counted, so that scientific and intelligent analysis on the safety inspection form data is realized, partial hidden danger points which cannot be marked in time can be timely and effectively mined, and further targeted rectifying and modifying measures can be formulated, and the potential safety hazards of later project work points are eliminated.
3. According to the method, the hidden danger type weights of hidden danger points in the project work points are used for analyzing hidden danger rectifying priority coefficients of the project work points and sequencing and displaying the hidden danger rectifying priority coefficients according to the sequence from high to low, so that the visual display function of the project work point safety inspection form data can be embodied, hidden danger rectifying priority requirements of the project work points are intuitively displayed, the depth and breadth of audit analysis of the enterprise project work point inspection data are expanded, the safety guarantee work of the enterprise project work points is further improved, and the safety management level of the enterprise project is improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed for the description of the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram of a system module according to the present invention.
FIG. 2 is a flow chart of the method of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, a first aspect of the present invention provides an enterprise audit data analysis processing system, which includes an item security inspection list acquisition module, an item inspection standard coincidence analysis module, a monitoring point inspection data analysis module, an inspection security coincidence coefficient analysis module, a hidden danger type weight setting module, a hidden danger correction processing module, a display processing terminal and an enterprise audit database. The module connection relation is as follows: the system comprises an item security inspection list acquisition module, an item inspection standard coincidence analysis module, a monitoring point inspection data analysis module, a hidden danger point hidden danger type weight setting module, a hidden danger point hidden danger correction processing module and an enterprise audit database, wherein the item security inspection list acquisition module is connected with the item inspection standard coincidence analysis module, the monitoring point inspection data analysis module is connected with the item inspection standard coincidence analysis module and the inspection security coincidence coefficient analysis module respectively, the hidden danger point hidden danger type weight setting module is connected with the inspection security coincidence coefficient analysis module and the hidden danger correction processing module respectively, the hidden danger correction processing module is connected with a display processing terminal, and the enterprise audit database is connected with the item inspection standard coincidence analysis module, the inspection security coincidence coefficient analysis module and the hidden danger point hidden danger type weight setting module respectively.
The project security inspection list acquisition module is used for setting each project work point from the target enterprise project and acquiring the security inspection list of each project work point from the target enterprise audit background.
The project inspection standard coincidence analysis module is used for analyzing inspection standard coincidence coefficients of all project work points, screening all project work points needing to be inspected again and carrying out corresponding processing.
As a specific embodiment of the invention, the inspection standard coincidence coefficient analysis mode of each project work point is as follows: extracting the number of the monitored points, the number of the non-monitored points and the form establishment time of each project worker point from the safety inspection list of each project worker point, and recording the numbers as，/>，/>The number of each project work point.
Extracting a historical security inspection list corresponding to each project work point in the target enterprise project from an enterprise audit database, which is the latest time from the current time, and obtaining the historical form establishment time of each project work point。
Analyzing to obtain inspection standard coincidence coefficients of all project work pointsWherein，/>Respectively setting standard coincidence weight factors corresponding to the project inspection implementation rate and project work point inspection frequency, < ->For the safety inspection implementation rate corresponding to the preset project work point, the method comprises the following steps of +.>To set the firstThe safety inspection frequency of the project work point.
On the basis of the above embodiment, the set security inspection frequency of each project work point includes the following contents: extracting inspection data of each monitoring point from historical safety inspection sheets of each project worker point to obtain inspection results of each monitoring point in each project worker point, wherein the inspection results are hidden danger or hidden danger not found, counting the number of hidden danger monitoring points corresponding to each project worker point, and recording the number asAnalyzing the security inspection frequency of each project site>In the followingFor the standard inspection frequency corresponding to the preset project work point, < >>Is natural constant (18)>The safety quantity ratio of the hidden danger points corresponding to the preset project work points is calculated.
As a specific embodiment of the present invention, the screening each project work point that needs to be re-inspected, and performing corresponding processing specifically includes: comparing the inspection standard coincidence coefficient of each project site with a preset inspection standard coincidence coefficient threshold, if the inspection standard coincidence coefficient of a project site is smaller than the preset inspection standard coincidence coefficient threshold, counting each project site needing to be re-inspected, marking each marked project site as each marked project site, informing inspection personnel to carry out supplementary inspection on each marked project site to obtain a secondary safety inspection list of each marked project site, further analyzing the inspection standard coincidence coefficient of each marked project site, and if the inspection standard coincidence coefficient of a certain marked project site is still smaller than the preset inspection standard coincidence coefficient threshold, continuing to carry out supplementary inspection on the project site needing to be re-inspected to obtain a three-time safety inspection list of each marked project site, and further analyzing the inspection standard coincidence coefficient of each marked project site until the inspection standard coincidence coefficient of each marked project site is larger than or equal to the preset inspection standard coincidence coefficient.
It should be noted that when the inspection personnel inspect each project site, not all project sites will be inspected, and a missing situation may occur, if the number of non-inspected monitoring points of each project site is too large, or the actual inspection frequency of the project site cannot be reached, the probability that the inspection standard coincidence coefficient of the project site is smaller than the preset inspection standard coincidence coefficient threshold is greater, the probability that the project site is the project site needing to be inspected again is greater, the new inspection personnel conduct supplementary inspection on each project site needing to be inspected again, so as to obtain a secondary safety inspection list of each marked project site, further analyze the inspection standard coincidence coefficient of each marked project site, and if after the secondary safety inspection, the inspection standard coincidence coefficient of the project site is still smaller than the preset inspection standard coincidence coefficient threshold, the inspection personnel need to replace the project site again for three times after the secondary safety inspection.
According to the invention, the inspection standard coincidence coefficient of each project site is analyzed through the safety inspection list of each project site, each project site needing to be inspected again is screened and is correspondingly processed, so that the problems of incomplete, inaccurate and unreliable data of the safety inspection list caused by the fact that the inspection standard of an inspection personnel is not standardized are effectively avoided, the data audit analysis result of the safety inspection list of the project site is ensured to have referential property and validity, and further, enterprises are helped to master the site safety management condition of the project site rapidly and accurately, and support is provided for the safety management of the projects of the enterprises.
The monitoring point inspection data analysis module is used for extracting inspection data of each monitoring point from the safety inspection list of each project point, screening each monitoring point without hidden danger, marking the monitoring point as each appointed monitoring point, and counting the inspection data of each appointed monitoring point.
It is to be explained that the inspection data of each monitoring point comprises reporting time, inspection video, inspection result and hidden danger type, wherein the inspection result is hidden danger not found or hidden danger exists.
Further, when the inspection result of a certain monitoring point is that no hidden danger is found, the hidden danger type of the monitoring point is a temporary hidden danger-free type.
The inspection safety coincidence coefficient analysis module is used for analyzing the inspection safety coincidence coefficient of each appointed monitoring point in each project work point and comparing and counting the number of hidden danger points of each project work point and the hidden danger type of each hidden danger point.
As a specific embodiment of the invention, the inspection safety coincidence coefficient analysis mode of each appointed monitoring point in each project working point is as follows: extracting inspection video from inspection data of each appointed monitoring point in each project work point, analyzing to obtain each inspection video frame image of each appointed monitoring point in each project work point, identifying the inspection coincidence flow quantity of each appointed monitoring point in each project work point and the action coincidence quantity of each inspection coincidence flow, and respectively marking as，/>，/>Designating the number of the monitoring point for each +.>，/>And (5) designating the serial numbers of the inspection conforming flows in the monitoring points.
Extracting the standard inspection flow quantity of each designated monitoring point in each project work point from enterprise audit databaseAnd the standard action number of each standard inspection flow, further screening the standard action number of each inspection conforming to the flow of each designated monitoring point in each project work point, and marking the standard action number as +.>Analyzing whether the inspection flow of each appointed monitoring point in each project worker point accords with a weight coefficient +.>Wherein->，/>The inspection flow of the project work point accords with the influence factor>Is->Item site->And designating the minimum value of the action coincidence quantity ratio of each monitoring point corresponding to each inspection coincidence flow.
Extracting each historical security inspection list corresponding to each project work point stored in an enterprise audit database, further extracting the reporting time and inspection video duration of each appointed monitoring point in each project work point in each historical security inspection list, and analyzing each appointed point in each project work pointThe inspection time of the monitoring point accords with the weight coefficient。
It should be explained that the analysis of the patrol time of each designated monitoring point in each project work point accords with the weight coefficient specifically includes: extracting reporting time in inspection data of each designated monitoring point in each project work pointObtaining the inspection video duration according to the inspection video of each appointed monitoring point in each project work point, and marking the inspection video duration as +.>Analyzing whether the inspection time of each appointed monitoring point in each project worker point accords with a weight coefficient +.>In the formula->To set constant +.>，/>Is->Item site->Designating the monitoring point as->、/>、/>Reporting time of historical security inspection list, < -> ， />For the number of historical security inspection sheets +.>Is->Item site->Designating the monitoring point as->The inspection video duration of the historical security inspection bill.
Analysis formula for inspection safety coincidence coefficient according to project work pointsObtaining inspection safety coincidence coefficients of each appointed monitoring point in each project work point>In the formula->And respectively conforming the set project work point inspection flow and inspection time to the influence factors.
On the basis of the above embodiment, the number of inspection conforming flows of each designated monitoring point in each project working point is identified by the number of action conforming flows of each inspection conforming flow: extracting standard inspection flow corresponding standard action image sets of each specified monitoring point in each project worker point from an enterprise audit database, forming inspection video frame image sets by each inspection video frame image of each specified monitoring point in each project worker point, counting similarity between the inspection video frame image sets of each specified monitoring point in each project worker point and the standard action image sets corresponding to each inspection flow of the specified monitoring point corresponding to each inspection video frame image sets, taking the inspection flow which is larger than a set similarity threshold as an inspection coincidence flow, and further counting the number of the inspection coincidence flows of each specified monitoring point in each project worker point.
Extracting standard action image sets of inspection conforming flows of all specified monitoring points in all project work points, comparing the standard action image sets of inspection conforming flows of all specified monitoring points in all project work points with corresponding inspection video frame image sets of the specified monitoring points to obtain the same action images in the standard action image sets of inspection conforming flows of all specified monitoring points in all project work points and the corresponding inspection video frame image sets of the specified monitoring points, and counting the same action image quantity of inspection conforming flows of all specified monitoring points in all project work points to be used as the action conforming quantity of inspection conforming flows of all specified monitoring points in all project work points.
Further, the similarity analysis formula of the patrol video frame image set of each specified monitoring point in each project working point and the standard action image set corresponding to each patrol flow of the specified monitoring point corresponding to the patrol video frame image set is as followsWhereinFor the same action image quantity in the patrol video frame image set and the standard action image set, the method comprises +.>The method is used for inspecting the total number of action images in the video frame image set and the standard action image set.
As a specific embodiment of the invention, the number of hidden danger points of each project work point and the statistical mode of hidden danger types of each hidden danger point are as follows: comparing the inspection safety coincidence coefficient of each designated monitoring point in each project work point with a preset inspection safety coincidence coefficient threshold value, if the inspection safety coincidence coefficient of a designated monitoring point in a project work point is smaller than the preset inspection safety coincidence coefficient threshold value, the designated monitoring point is a hidden danger point, counting the number of first hidden danger points of each project work point, extracting hidden danger types of each first hidden danger point of each project work point on each historical safety inspection list from an enterprise audit database, counting mode hidden danger types corresponding to each first hidden danger point of each project work point, and taking the hidden danger types as hidden danger types of each first hidden danger point of each project work point.
According to the inspection result of each monitoring point in each project work point, each monitoring point with hidden danger in each project work point is obtained, the number of second hidden danger points of each project work point is counted, and the number of first hidden danger points and the number of second hidden danger points of each project work point are accumulated to obtain the number of hidden danger points of each project work point.
And counting the hidden danger types of the hidden danger points of each project work point according to the hidden danger types of each second hidden danger point of each project work point.
By screening the inspection data of the monitoring points with no hidden danger found, the inspection safety coincidence coefficient of the monitoring points with no hidden danger found in the project work points is analyzed, and the number of hidden danger points of the project work points and the hidden danger types of the hidden danger points are compared and counted, so that scientific and intelligent analysis of the safety inspection form data is realized, part of hidden danger points which cannot be marked in time can be effectively mined in time, and targeted correction measures can be formulated, and the potential safety hazards of the project work points in later stages are eliminated.
The hidden danger point hidden danger type weight setting module is used for setting weights corresponding to hidden danger types and screening hidden danger type weights of hidden danger points in each project work point.
As a specific embodiment of the present invention, the weight setting manner corresponding to each hidden danger type is as follows: according to the hidden danger types of hidden danger points of each project work point, counting the existence quantity of each hidden danger type, and recording the hidden danger types as，/>，/>Numbering each hidden danger type, extracting the existence quantity of each hidden danger type during each historical security inspection of each project work point from an enterprise audit database, and counting the historical existence quantity of each hidden danger type during each historical security inspection>Further setting the weight corresponding to each hidden trouble type>Wherein->，/>For the set->And weight influence factors corresponding to the types of the hidden dangers.
Further, each historical security inspection has a corresponding historical security inspection list.
The hidden danger correction processing module is used for analyzing hidden danger correction priority coefficients of the project work points and obtaining a project work point ordering result according to the sequence from high to low.
As a specific embodiment of the invention, the hidden trouble correction priority coefficient analysis formula of each project work point is as followsIn the formula->Is->The number of hidden trouble points of project work points, +.>For the number of project work points,is->Item site->Hidden danger type weight of each hidden danger point, +.>，/>Is a natural constant.
The display processing terminal is used for displaying the project work point ordering result.
The hidden danger type weight of each hidden danger point in each project work point is used for analyzing hidden danger rectifying priority coefficients of each project work point and sequencing and displaying the hidden danger rectifying priority coefficients according to a sequence from high to low, so that the visual display function of project work point safety inspection form data can be embodied, hidden danger rectifying priority requirements of the project work point can be intuitively displayed, the depth and breadth of enterprise project work point inspection data audit analysis are expanded, the safety guarantee work of the enterprise project work point is further improved, and the safety management level of the enterprise project is improved.
The enterprise audit database is used for storing each historical security inspection list corresponding to each project work point in the target enterprise project and the existing number of each hidden danger type during each historical security inspection, and storing the standard inspection flow number and the standard action number of each monitoring point in each project work point and the standard action image set.
Referring to fig. 2, a second aspect of the present invention provides an enterprise audit data analysis processing method, which includes the following steps: s1, acquiring an item security inspection list: setting each project work point from the target enterprise project, and obtaining a safety inspection list of each project work point.
S2, project inspection standard coincidence analysis: and analyzing the inspection standard coincidence coefficient of each project work point, screening each project work point needing to be inspected again, and carrying out corresponding treatment.
S3, analyzing inspection data of the monitoring points: and extracting the inspection data of each monitoring point from the safety inspection list of each project point, screening each monitoring point without hidden danger, marking the monitoring point as each appointed monitoring point, and counting the inspection data of each appointed monitoring point.
S4, analysis of inspection safety coincidence coefficients: and analyzing the inspection safety coincidence coefficient of each appointed monitoring point in each project work point, and comparing and counting the number of hidden danger points of each project work point and the hidden danger type of each hidden danger point.
S5, setting hidden danger type weights of hidden danger points: setting weights corresponding to hidden danger types, and screening hidden danger type weights of hidden danger points in project work points.
S6, hidden danger rectifying and modifying treatment: and analyzing hidden danger rectifying and changing priority coefficients of the project work points, and obtaining and displaying the sequencing results of the project work points according to the sequence from high to low.
The foregoing is merely illustrative and explanatory of the principles of this invention, as various modifications and additions may be made to the specific embodiments described, or similar arrangements may be substituted by those skilled in the art, without departing from the principles of this invention or beyond the scope of this invention as defined in the claims.
Claims (8)
1. An enterprise audit data analysis processing system, comprising:
the project safety inspection list acquisition module is used for setting each project work point from the target enterprise project and acquiring the safety inspection list of each project work point;
the project inspection standard coincidence analysis module is used for analyzing inspection standard coincidence coefficients of all project work points, screening all project work points needing to be inspected again and carrying out corresponding treatment;
the inspection standard coincidence coefficient analysis mode of each project work point is as follows:
extracting the number of the monitored points, the number of the non-monitored points and the form establishment time of each project worker point from the safety inspection list of each project worker point, and recording the numbers as，/>，/>Numbering the work points of each project;
extracting a historical security inspection list corresponding to each project work point in the target enterprise project from an enterprise audit database, which is the latest time from the current time, and obtaining the historical form establishment time of each project work point；
Analyzing to obtain inspection standard coincidence coefficients of all project work pointsWherein，/>Respectively setting standard coincidence weight factors corresponding to the project inspection implementation rate and project work point inspection frequency, < ->For the safety inspection implementation rate corresponding to the preset project work point, the method comprises the following steps of +.>For the set->The safety inspection frequency of project work points;
the monitoring point inspection data analysis module is used for extracting inspection data of each monitoring point from the safety inspection list of each project point, screening each monitoring point without hidden danger, marking the monitoring point as each appointed monitoring point, and counting the inspection data of each appointed monitoring point;
the inspection safety coincidence coefficient analysis module is used for analyzing the inspection safety coincidence coefficient of each appointed monitoring point in each project work point and comparing and counting the number of hidden danger points of each project work point and hidden danger types of each hidden danger point;
the inspection safety coincidence coefficient analysis mode of each appointed monitoring point in each project working point is as follows:
extracting inspection video from inspection data of each appointed monitoring point in each project work point, analyzing to obtain each inspection video frame image of each appointed monitoring point in each project work point, identifying the inspection coincidence flow quantity of each appointed monitoring point in each project work point and the action coincidence quantity of each inspection coincidence flow, and respectively marking as，/>，/>Designating the number of the monitoring point for each +.>，/>The number of each inspection conforming to the flow in the appointed monitoring point;
extracting the standard inspection flow quantity of each designated monitoring point in each project work point from enterprise audit databaseAnd the standard action number of each standard inspection flow, further screening the standard action number of each inspection conforming to the flow of each designated monitoring point in each project work point, and marking the standard action number as +.>Analyzing the coincidence weight coefficient of the inspection flow of each appointed monitoring point in each project work pointWherein->，/>The inspection flow of the project work point accords with the influence factor,is->Item site->Designating a minimum value of the action coincidence quantity ratio of each monitoring point corresponding to each inspection coincidence flow;
extracting each historical security inspection list corresponding to each project work point stored in an enterprise audit database, further extracting the reporting time and inspection video duration of each appointed monitoring point in each project work point in each historical security inspection list, and analyzing the inspection time coincidence weight coefficient of each appointed monitoring point in each project work point；
Analysis formula for inspection safety coincidence coefficient according to project work pointsObtaining inspection safety coincidence coefficients of each appointed monitoring point in each project work point>In the formula->Respectively conforming the set project work point inspection flow and the inspection time to influence factors;
the hidden danger point hidden danger type weight setting module is used for setting weights corresponding to hidden danger types and screening hidden danger type weights of hidden danger points in each project work point;
the hidden danger correction processing module is used for analyzing hidden danger correction priority coefficients of the project work points and obtaining a project work point ordering result according to a high-to-low sequence;
the display processing terminal is used for displaying the project work point ordering result;
the enterprise audit database is used for storing each historical security inspection list corresponding to each project work point in the target enterprise project and the existing number of each hidden danger type during each historical security inspection, and storing the standard inspection flow number and the standard action image set of each monitoring point in each project work point.
2. An enterprise audit data analysis processing system according to claim 1 wherein: the screening of each project work point needing to be re-inspected and corresponding processing are carried out, and the method specifically comprises the following steps:
comparing the inspection standard coincidence coefficient of each project site with a preset inspection standard coincidence coefficient threshold, if the inspection standard coincidence coefficient of a project site is smaller than the preset inspection standard coincidence coefficient threshold, counting each project site needing to be re-inspected, marking each marked project site as each marked project site, informing inspection personnel to carry out supplementary inspection on each marked project site to obtain a secondary safety inspection list of each marked project site, further analyzing the inspection standard coincidence coefficient of each marked project site, and if the inspection standard coincidence coefficient of a certain marked project site is still smaller than the preset inspection standard coincidence coefficient threshold, continuing to carry out supplementary inspection on the project site needing to be re-inspected to obtain a three-time safety inspection list of each marked project site, and further analyzing the inspection standard coincidence coefficient of each marked project site until the inspection standard coincidence coefficient of each marked project site is larger than or equal to the preset inspection standard coincidence coefficient.
3. An enterprise audit data analysis processing system according to claim 2 wherein: the inspection data of each monitoring point comprises reporting time, inspection video, inspection result and hidden danger type, wherein the inspection result is that hidden danger is not found or exists.
4. An enterprise audit data analysis processing system according to claim 1 wherein: the analysis of the patrol time coincidence weight coefficient of each appointed monitoring point in each project work point specifically comprises the following steps:
extracting reporting time in inspection data of each designated monitoring point in each project work pointObtaining the inspection video duration according to the inspection video of each appointed monitoring point in each project work point, and marking the inspection video duration as +.>Analyzing whether the inspection time of each appointed monitoring point in each project worker point accords with a weight coefficient +.>In the formula->In order to set the constant value of the constant,，/>is->Item site->Designating the monitoring point as->、/>、/>Reporting time of historical security inspection list, < -> ， />For the number of historical security inspection sheets +.>Is->Item site->Designating the monitoring point as->The inspection video duration of the historical security inspection bill.
5. An enterprise audit data analysis processing system according to claim 3 wherein: the number of hidden danger points of each project work point and the statistical mode of hidden danger types of each hidden danger point are as follows:
comparing the inspection safety coincidence coefficient of each designated monitoring point in each project worker point with a preset inspection safety coincidence coefficient threshold value, if the inspection safety coincidence coefficient of a designated monitoring point in a project worker point is smaller than the preset inspection safety coincidence coefficient threshold value, the designated monitoring point is a hidden danger point, counting the number of first hidden danger points of each project worker point, extracting hidden danger types of each first hidden danger point of each project worker point on each historical safety inspection bill from an enterprise audit database, counting mode hidden danger types corresponding to each first hidden danger point of each project worker point, and taking the mode hidden danger types as hidden danger types of each first hidden danger point of each project worker point;
according to the inspection results of all the monitoring points in all the project work points, obtaining all the monitoring points with hidden danger in all the project work points, counting the number of second hidden danger points of all the project work points, accumulating the number of first hidden danger points and the number of second hidden danger points of all the project work points, and obtaining the number of hidden danger points of all the project work points;
and counting the hidden danger types of the hidden danger points of each project work point according to the hidden danger types of each second hidden danger point of each project work point.
6. An enterprise audit data analysis processing system according to claim 4 wherein: the weight setting mode corresponding to each hidden danger type comprises the following steps:
according to the hidden danger types of hidden danger points of each project work point, counting the existence quantity of each hidden danger type, and recording the hidden danger types as，，/>Numbering each hidden danger type, extracting the existence quantity of each hidden danger type during each historical security inspection of each project work point from an enterprise audit database, and counting the historical existence quantity of each hidden danger type during each historical security inspectionFurther setting the weight corresponding to each hidden trouble type>Wherein->，/>For the set->And weight influence factors corresponding to the types of the hidden dangers.
7. An enterprise audit data analysis processing system according to claim 6 wherein: the hidden trouble correction priority coefficient analysis formula of each project working point is as followsIn the formula->Is->The number of hidden trouble points of project work points, +.>For project site number, < > and->Is->Item site->Hidden danger type weight of each hidden danger point, +.>，/>Is a natural constant.
8. An enterprise audit data analysis processing method, implemented by the enterprise audit data analysis processing system according to claim 1, characterized in that: the method comprises the following steps: s1, acquiring an item security inspection list: setting each project work point from the target enterprise project, and acquiring a safety inspection list of each project work point;
s2, project inspection standard coincidence analysis: analyzing the inspection standard coincidence coefficient of each project work point, screening each project work point needing to be inspected again, and carrying out corresponding treatment;
s3, analyzing inspection data of the monitoring points: extracting the inspection data of each monitoring point from the safety inspection list of each project point, screening each monitoring point without hidden danger, marking the monitoring point as each appointed monitoring point, and counting the inspection data of each appointed monitoring point;
s4, analysis of inspection safety coincidence coefficients: analyzing the inspection safety coincidence coefficient of each appointed monitoring point in each project work point, and comparing and counting the number of hidden danger points of each project work point and the hidden danger type of each hidden danger point;
s5, setting hidden danger type weights of hidden danger points: setting weights corresponding to hidden danger types, and screening hidden danger type weights of hidden danger points in project work points;
s6, hidden danger rectifying and modifying treatment: and analyzing hidden danger rectifying and changing priority coefficients of the project work points, and obtaining and displaying the sequencing results of the project work points according to the sequence from high to low.
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