CN116862242A - Method and system for evaluating regional risk level by unsafe operation behaviors - Google Patents
Method and system for evaluating regional risk level by unsafe operation behaviors Download PDFInfo
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Abstract
The invention provides a method and a system for evaluating regional risk level by unsafe operation behaviors, wherein the method comprises the steps of acquiring all operation data of a set region; determining all unsafe operation behaviors corresponding to each operation data according to all the operation data and a preset unsafe operation behavior library, and identifying the corresponding operation data with unsafe operation behaviors as risk operation data; determining a risk index of corresponding risk operation data according to all unsafe operation behaviors included in each risk operation data and a preset operation risk index model; determining the risk level of a set region according to a risk index corresponding to each risk operation data and a preset region risk level algorithm; and determining the security protection level of the corresponding set area according to the risk level, and making a matched security protection scheme. Therefore, the risk influence of all unsafe operation behaviors in the set area on the set area can be comprehensively mastered, and the area safety management capability, risk identification and coping capability are improved.
Description
Technical Field
The invention relates to the technical field of safety production management and control, in particular to a method and a system for evaluating regional risk level by unsafe operation behaviors.
Background
In recent years, personal injuries frequently occur due to unsafe personal activities. The fact that dangerous operation safety management is not in place is one of main reasons for causing production safety accidents. Enterprises often need to expend great effort to manage dangerous operations, and also lack effective means to find and evaluate the safety level of the operations before, during and after the operations. Therefore, the afterfeel and the protection of the sheep are often known after the accident occurs, and the pain is at the cost.
The main reasons are that the scene of the field operation is complex, part of operators are not conscious, lazy and tired, some illegal operations are frequently changed, and the field safety management and control is difficult. In order to guarantee safe operation, some enterprises are equipped with on-site supervision operation of safety supervision staff, and the situations of negligence, diffraction and even unauthorized guard of the safety supervision staff, which cause lack of supervision on site, still occur. Even if the safety supervision staff is on duty, some operators are led to the security supervision staff, and the potential safety hazards of the operation site are paralyzed greatly, so that accidents are likely to occur between carelessly, and life and property losses are caused.
Unsafe operation of the operator can lead to an increased probability of accident in the area. In practice, a plurality of job scenes exist in a specific area at the same time or in the same time period, and the risk influence of different dangerous job behaviors of different job scenes on the area is different.
In enterprise plants, particularly chemical plants, dangerous accidents are essentially caused by unsafe operating practices, which, once they occur, result in immeasurable property and life losses. However, the dangerous level of the area of the existing enterprise factory is not related to unsafe operation behaviors, and the influence of the unsafe operation behaviors on the safety condition of the supervision area cannot be timely mastered, so that the problem of controlling the safety of the area is solved.
Disclosure of Invention
Therefore, the invention aims to solve the technical problems that in the prior art, the unsafe operation behaviors in the area are not accurately and timely mastered, the influence of the unsafe operation behaviors on the area safety cannot be accurately identified, and an effective area safety management and control means is lacked.
In order to solve the above technical problems, the present invention provides a method for evaluating a risk level of an area by unsafe operation behavior, comprising:
S10, acquiring all operation data of a set area;
s20, determining all unsafe operation behaviors corresponding to each operation data according to all the operation data and a preset unsafe operation behavior library, and identifying the corresponding operation data with unsafe operation behaviors as risk operation data;
s30, determining a risk index corresponding to the risk operation data according to all unsafe operation behaviors included in each risk operation data and a preset operation risk index model;
s40, determining the risk level of the set region according to the risk index corresponding to each risk operation data and a preset region risk level algorithm;
s50, determining the security protection level corresponding to the set area according to the risk level, and making a matched security protection scheme.
In one embodiment, the determining the risk index corresponding to the risk job data according to all unsafe job behaviors included in each risk job data and a preset job risk index model includes:
determining risk indexes of all unsafe operation behaviors corresponding to each risk operation data according to the preset operation risk index model;
And accumulating the risk indexes corresponding to all unsafe operation behaviors, calculating an average value, and determining the risk index corresponding to the risk operation data according to the average value.
In one embodiment, the determining the risk index corresponding to the risk job data according to the average value includes:
identifying the number of unsafe operation behaviors included in each risk operation data, and determining a proportion coefficient according to the number of unsafe operation behaviors;
and determining a risk index corresponding to the risk operation data as the proportionality coefficient multiplied by the average value.
In one embodiment, the determining the risk level of the set area according to the risk index corresponding to each risk job data and a preset area risk level algorithm includes:
identifying the degree of correlation of the risk job data; wherein the degree of correlation includes a degree of closeness of a working range and a working period of a plurality of the risk working data;
if the degree of correlation of the plurality of risk job data is smaller than a preset correlation degree threshold, determining a first matching relationship; if the association degrees of the plurality of risk job data are larger than the preset association degree threshold value, determining a second matching relationship;
And adjusting the preset region risk level algorithm according to the first matching relation and the second matching relation, and calculating the risk level of the set region according to the adjusted preset region risk level algorithm.
In one embodiment, the calculating the risk level of the set area according to the adjusted preset area risk level algorithm includes:
calculating the accumulated sum of the corresponding risk indexes by adopting a first matching coefficient for a plurality of risk operation data meeting the first matching relation to obtain a first group of risk factors; calculating the accumulated sum of the corresponding risk indexes by adopting a second matching coefficient for a plurality of risk operation data meeting the second matching relation to obtain a second group of risk factors;
adding the first group of risk factors and the second group of risk factors to obtain total risk factors, and dividing the total risk factors by the total unsafe operation behavior number to obtain a regional risk grade index;
and determining the risk level corresponding to the set area according to the risk level index.
In one embodiment, the determining the security protection level corresponding to the set area according to the risk level includes:
Under the condition that the risk level is higher than a preset risk level, sending a site emergency investigation signal and the risk operation data list to a safety manager; and the risk operations in the risk operation data list are sequentially arranged according to the order of the risk indexes from the big to the small.
In one embodiment, the method further comprises:
acquiring investigation feedback data of site safety management personnel;
setting a correction scheme corresponding to risk operation behaviours according to the investigation feedback data;
sending the modification scheme to corresponding personnel of the risk operation behaviors, receiving modification feedback of the corresponding personnel, and adjusting unsafe operation behaviors corresponding to the risk operation data;
the process goes to step S30.
In one embodiment, after the step of determining the risk level of the set area according to the risk index corresponding to each risk job data and a preset area risk level algorithm, the method further includes:
and according to the risk grade matching the risk early warning color of the set area, marking the set area on a monitoring area map by using the risk early warning color.
In addition, the invention also provides a system for evaluating the risk level of the area by unsafe operation behaviors, which comprises the following steps:
The data acquisition module is used for acquiring all operation data of the set area;
the risk operation identification module is in communication connection with the data acquisition module and is used for determining all unsafe operation behaviors corresponding to each operation data according to all the operation data and a preset unsafe operation behavior library and identifying the corresponding operation data with unsafe operation behaviors as risk operation data;
the risk index determining module is in communication connection with the risk operation identifying module and is used for determining a risk index corresponding to the risk operation data according to all unsafe operation behaviors included in each risk operation data and a preset operation risk index model;
the regional risk level determining module is in communication connection with the risk index determining module and is used for determining the risk level of the set region according to a preset regional risk level algorithm according to the risk index corresponding to each risk operation data;
and the safety protection scheme making module is in communication connection with the regional risk level determining module and is used for determining the safety protection level corresponding to the set region according to the risk level and making a matched safety protection scheme.
In one embodiment, the system further comprises:
the association degree identification module is in communication connection with the risk operation identification module and is used for identifying the association degree of the risk operation data; wherein the degree of correlation includes a degree of closeness of a working range and a working period of a plurality of the risk working data;
the matching relation determining module is in communication connection with the association degree identifying module and is used for determining a first matching relation under the condition that the mutual association degrees of the plurality of risk job data are smaller than a preset association degree threshold value; determining a second matching relationship under the condition that the association degrees of a plurality of risk job data are larger than the preset association degree threshold value;
the regional risk level determining module is in communication connection with the matching relation determining module and is used for adjusting the preset regional risk level algorithm according to the first matching relation and the second matching relation and calculating the risk level of the set region according to the adjusted preset regional risk level algorithm.
The technical scheme provided by the invention has the following advantages:
the method and the system for evaluating the risk level of the area by the unsafe operation behaviors can identify the risk operation behaviors according to all operation data of the set area, determine the risk indexes of the risk operation data according to all unsafe operation behaviors of each risk operation data, determine the risk level of the set area according to the risk indexes corresponding to each risk operation data according to the preset area risk level algorithm, determine the safety protection level of the corresponding set area according to the risk level, and formulate a matched safety protection scheme. The method and the system provided by the invention can comprehensively master the risk influence of all unsafe operation behaviors in the set area in the safety supervision range on the set area, macroscopically manage and control the potential safety hazards of the area, improve the area safety management capability and the risk identification and coping capability, and reduce the occurrence probability of dangerous accidents.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flowchart illustrating a method for evaluating regional risk levels with unsafe operation behavior according to an embodiment of the present invention;
fig. 2 is a schematic block diagram of a system for evaluating regional risk levels with unsafe operation behaviors according to an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made apparent and fully in view of the accompanying drawings, in which some, but not all embodiments of the invention are shown. The invention will be described in detail hereinafter with reference to the drawings in conjunction with embodiments. It should be noted that, without conflict, the embodiments of the present invention and features of the embodiments may be combined with each other.
It should be noted that the terms "first," "second," and the like in the description and the claims of the present invention and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order.
In the present invention, unless otherwise indicated, terms of orientation such as "upper, lower, top, bottom" are used generally with respect to the orientation shown in the drawings or with respect to the component itself in the vertical, upright or gravitational direction; also, for ease of understanding and description, "inner and outer" refers to inner and outer relative to the profile of each component itself, but the above-mentioned orientation terms are not intended to limit the present invention.
In the factory, especially the chemical industry factory, the safety production responsibility is important, if the safety accident happens, the life and property loss is painful. The regional risk level supervision of the existing chemical plant area depends on map display (global map supervision mode) of the regional areas of the whole plant area, each region correspondingly displays matched colors according to the risk level, and the darker the color of the map display area is, the higher the risk level of the corresponding region is, so that the safety production condition of the whole plant area can be conveniently and intuitively acquired. For example, the use of red, orange, yellow, green in turn indicates extra risk, significant risk, general risk, and light risk. When the map displays the corresponding area in orange or red, the risk level is considered to be higher than the general risk, and area safety inspection is required to be performed so as to eliminate the risk as soon as possible and reduce the potential safety hazard of accident occurrence. In the prior art, most safety accidents are related to unsafe operation behaviors, namely unsafe operation behaviors of operators are one of important factors for increasing the accident occurrence probability of the area. However, the existing supervision of the risk level of the factory area is not related to unsafe operation behaviors, accidents caused by the unsafe operation behaviors are usually known afterfeel, teaching and training are painful, the influence of the unsafe operation behaviors on the safety conditions of the supervision area cannot be mastered timely, potential safety hazards caused by the unsafe operation behaviors cannot be eliminated timely, and the enterprise safety production management pain point is caused.
In practice, a plurality of operation scenes exist in a specific area at the same time or in the same time period, the risk influence of different dangerous operation behaviors of different operation scenes on the area is different, whether unsafe behaviors exist in the operation scenes or not, the safety influence of the unsafe behaviors on the working area is not known by factory safety management staff, and no method is provided for targeted management. These unsafe operation behaviors generally lead to increased accident risks in the supervision area, and how to timely master the influence of the unsafe operation behaviors on the safety conditions of the area becomes a difficult problem for managing and controlling the safety of the area.
In order to solve the problems, the invention provides a method for evaluating regional risk levels by unsafe operation behaviors. Referring to fig. 1, the method may include the following when implemented:
s10, acquiring all operation data of a set area;
s20, determining all unsafe operation behaviors corresponding to each operation data according to all the operation data and a preset unsafe operation behavior library, and identifying the corresponding operation data with unsafe operation behaviors as risk operation data;
S30, determining a risk index corresponding to the risk operation data according to all unsafe operation behaviors included in each risk operation data and a preset operation risk index model;
s40, determining the risk level of the set region according to the risk index corresponding to each risk operation data and a preset region risk level algorithm;
s50, determining the security protection level corresponding to the set area according to the risk level, and making a matched security protection scheme.
The "set area" in the step S10 may be understood as a certain delimited area of the enterprise production factory area, or may be a range of the whole enterprise production factory area. An enterprise production facility may include a plurality of such defined areas that are generally non-overlapping and may define different names based on the production content of their corresponding coverage areas. The production contents of a set area are generally similar or identical to each other, facilitating risk management. Specifically, the setting area may be divided according to the production shop, or may be divided according to the type of the production operation, which is not limited herein. In an enterprise production facility, a plurality of setting areas may be included, and each setting area may or may not be adjacent. Correspondingly, the enterprise safety production carries out regional safety management by taking the set region as a unit.
All the job data of the setting area are acquired, and when the method is implemented, a plurality of different acquisition modes are provided according to different types of the acquired job data. Three data types are described below as examples. The first job data type is: the operation management in the safe production informatization platform software automatically collects operation data in the operation reservation, approval and approval process, and the type of operation data is based on whether on-site operators check the filling and uploading system. The second job data type is: and acquiring videos in the operation process by moving the control video acquisition equipment. The third job data type is: and (3) observing the data related to the operation recorded in the system through safety behaviors carried out by enterprises.
The system is also provided with a storage module for storing a preset unsafe operation action library in advance. The "preset unsafe operation behavior library" is formulated and edited by an expert in advance according to safe production requirements. The definitions of unsafe behavior of each factory area are different, and the preset unsafe behavior library is opened to corresponding factory area safety specialists for definition, so that personalized customization is facilitated. Specifically, the preset unsafe operation behavior library defines various unsafe operation behaviors, such as that safety measures are not done, on-site signing is not performed, safe bottoming is not performed, operation time-out is performed, operators and contractors are unqualified, safety personnel leave, and operation area irrelevant personnel break in and the like. The preset operation unsafe operation behavior library is used for checking and identifying unsafe operation behaviors in all operation data, and further, risk operation data in all operation data are identified according to the determined unsafe operation behaviors.
Illustratively, the first type of job data is for job data. The preset unsafe operation behavior library comprises that the safety measures are not taken. Specifically, taking fire operation as an example, the safety measures do not include the following scenes: 1. safety education is not carried out on operators; 2. fire-fighting equipment such as fire extinguishers and the like are not routinely checked; 3. the construction responsible person does not prepare the materials such as tools, electric welding machines, oxygen cylinders, acetylene cylinders and the like completely; 4. flammable and explosive articles and any sundries within the range of 10 meters of the operation site of the construction site are not cleaned, and the flammable articles are strictly forbidden in the site; 5. the constructor does not carefully check whether the wiring process meets the requirements; 6. the operation site is not equipped with fire-fighting equipment such as 4Kg dry powder fire extinguisher, fire control lifting, etc. The scene data are collected through information filled by the job responsible person and the job related person in the job management software.
When the operation data is of the second operation data type, video in the operation process is acquired by moving the control video acquisition equipment, and unsafe operation behaviors in the operation process, such as operation without a safety helmet, operation without a glove, pipeline stepping and the like, are analyzed by matching with an AI algorithm. The second type of operation data is collected in real time on site, and the AI algorithm correspondingly identifies several unsafe operation types.
All job data includes various types of job data, and is classified into job task types including fire operation, maintenance operation, and the like. Each job data includes a plurality of job behaviors, and corresponding job data for which unsafe job behaviors exist is identified as risk job data. That is, the risk job data is job data having a potential safety hazard among a plurality of kinds of job data.
In step S30, the risk index of the corresponding risk job data is determined according to all unsafe job behaviors included in each risk job data and the preset job risk index model. The preset operation risk index model is a set of risk indexes of unsafe operation behaviors defined by each factory according to expert experience. According to the expert judgment method of the enterprise, different operation types of different enterprises are defined by the internal experts of the enterprise, and the risk index of dangerous unsafe operation behaviors is higher. For example, let the risk index be an integer from 1 to 10, each unsafe operation behavior defines a risk index, and a larger number of the risk index indicates a greater risk of the unsafe operation behavior. According to the risk index determining method, a preset operation risk index model can be queried according to unsafe operation behaviors included in each risk operation data, and the risk index of the corresponding risk operation data is determined.
Multiple risk operation data may exist in the set region at the same time or within the same time period, and the risk level of the set region is determined according to a risk index corresponding to each risk operation data and a preset region risk level algorithm. The method comprises the steps of setting a risk level algorithm of a preset area, wherein the preset area risk level algorithm is a preset influence algorithm for evaluating the risk level of the set area on the whole of a plurality of risk operation data, and the algorithm considers a plurality of risk operation types in the set area, can comprehensively evaluate the overall risk condition of the set area and has strong comprehensive significance of safety management.
The safety protection level is determined according to the risk index of the set area, and the higher the risk index is, the higher the safety protection level is, so that the risk of safety accidents is reduced. Each safety protection level corresponds to one safety protection scheme, and the safety protection schemes have different protection degrees according to the safety protection levels. The risk level is illustratively four levels, general risk, medium risk, significant risk, and extra-high risk, respectively. Correspondingly, the safety protection level comprises four levels, namely a general protection, a medium protection, a major protection and an extra-large protection in sequence, and the safety protection schemes are distinguished according to the severity of the risk level. When the risk level is a great risk or an extra risk, the higher the emergency execution degree of the safety protection scheme is, so that the risk level of the set area is reduced as soon as possible, and the probability of actual accidents is reduced.
The method for evaluating the risk level of the area by the unsafe operation behaviors can identify the risk operation behaviors according to all operation data of the set area, determine the risk indexes of the corresponding risk operation data according to all unsafe operation behaviors of each risk operation data, determine the risk level of the set area according to the risk indexes corresponding to each risk operation data according to the preset area risk level algorithm, determine the safety protection level of the corresponding set area according to the risk level, and formulate a matched safety protection scheme. The chemical plant area is taken as a scene, and the chemical plant area can comprise a plurality of set areas, for example, the set area can be a certain chemical production workshop, the other set area is an office area, and each set area is an area needing to be safely managed. Through the recognition of all unsafe behaviors in each set area, the risk level matched with the current set area can be obtained, personnel can be timely arranged to check and timely remove risks under the condition that the risk registration exceeds the early warning, the set areas are controlled under reasonable risk levels, the possibility of occurrence of safety accidents is reduced, and safety production is guaranteed.
On one hand, as the set region can be specified and refined, the risk can be identified and managed according to the region, so that the efficiency and the capability of the region safety management can be improved; on the other hand, the method provided by the invention can comprehensively master the risk influence of all unsafe operation behaviors in the set area on the set area, macroscopically identify and control the potential safety hazards of the area, improve the area risk identification and coping capacity and reduce the occurrence probability of dangerous accidents.
In a specific embodiment, the step of determining the risk index corresponding to the risk job data in the step S30 according to all unsafe job behaviors and the preset job risk index model included in each risk job data may include the following when implemented:
determining risk indexes of all unsafe operation behaviors corresponding to each risk operation data according to the preset operation risk index model;
and accumulating the risk indexes corresponding to all unsafe operation behaviors, calculating an average value, and determining the risk index corresponding to the risk operation data according to the average value.
Specifically, a preset operation risk index module is queried to obtain risk indexes of each unsafe operation behavior, the risk indexes are accumulated and then averaged, the average value can represent the average risk index condition of corresponding risk operation data, and the risk index of the risk operation data is determined according to the average value.
It should be noted that, for the risk operation data in which a plurality of unsafe operation behaviors occur, each unsafe operation behavior is a hidden danger that may cause an accident, and the greater the number of unsafe operation behaviors, the greater the magnitude of the accident hidden danger corresponding to the risk operation can be reflected to a certain extent.
In order to improve the matching degree between the risk index and the actual risk, further, in an embodiment, the step of determining the risk index corresponding to the risk job data according to the average value includes:
identifying the number of unsafe operation behaviors included in each risk operation data, and determining a proportion coefficient according to the number of unsafe operation behaviors;
and determining a risk index corresponding to the risk operation data as the proportionality coefficient multiplied by the average value.
The greater the number of unsafe operation behaviors, the greater the determined scaling factor, and the greater the risk index corresponding to the obtained risk operation data. Illustratively, when one piece of risk job data includes only one unsafe job behavior, its scaling factor is 1, and another piece of risk job data includes 2 or even more unsafe job behaviors, it is determined that the scaling factor is greater than 1, such as a value of 1.1 or 1.2, and typically the scaling factor is not greater than 2.
It should be explained that, for one setting area, the job times and job ranges of a plurality of risk jobs may overlap each other. For fire operation, if two identical fire operations are performed within the same operation range and the same operation time, and both fire operations are risk operation data, then the risk operation behaviors corresponding to the risk operation data are both concentrated in time and space, and the risk operation behaviors have a growth promoting effect on potential safety hazards, that is, larger accidents may occur compared with single operation, and more serious influence is generated on a set area.
In order to solve the above-mentioned problem, in some embodiments, step S40 "determines the risk level of the set area according to the risk index corresponding to each risk job data and a preset area risk level algorithm", and when implemented, includes the following:
identifying the degree of correlation of the risk job data;
if the degree of correlation of the plurality of risk job data is smaller than a preset correlation degree threshold, determining a first matching relationship; if the association degrees of the plurality of risk job data are larger than the preset association degree threshold value, determining a second matching relationship;
And adjusting the preset region risk level algorithm according to the first matching relation and the second matching relation, and calculating the risk level of the set region according to the adjusted preset region risk level algorithm.
Wherein the degree of correlation includes the job ranges of the plurality of risk job data and the proximity degree of the job time period. In the embodiment, the degree of mutual association of two or more risk job data is obtained by identifying the proximity degree of the risk job data in the job range and the job time, and the obtained degree of mutual association is compared with a preset association degree threshold. If the degree of correlation of the plurality of risk job data is smaller than a preset correlation degree threshold value, determining a first matching relationship; and if the association degree of the plurality of risk job data is larger than a preset association degree threshold value, determining a second matching relationship. And calculating the risk grade of the set area by adopting different calculation methods for the risk job data meeting different matching relations.
Specifically, the degree of correlation includes the degree to which the job ranges overlap each other and the degree to which the job times overlap each other. The overlapping degree of the working ranges is calculated by dividing the overlapping working range by the total working range. Wherein the total job scope is a sum of job scopes of two or more risk job data associated with each other. The overlapping operation time is calculated by dividing the overlapping operation time by the total operation time on the basis that the operation times overlap each other. Wherein the total job time is a time period between a time when a first one of the two or more risk job data starts and a time when a last one of the two or more risk job data ends in association with each other. The degree of correlation may be characterized by the product of the degree of overlap of job ranges and the degree of overlap of job times.
In a specific implementation scenario, the job scope is registered in the system by the relevant operator prior to the job being performed. For example, when a certain device fails, a person receives a task, and before going to a site for maintenance, it is necessary to register maintenance items, maintenance work ranges, and predicted work times in the system. The issuing of the related maintenance tasks can also be issued to related personnel in the system by management personnel, and the related personnel receive the tasks and register related information in the system.
In a specific embodiment, the step of calculating the risk level of the set area according to the adjusted preset area risk level algorithm includes:
calculating the accumulated sum of the corresponding risk indexes by adopting a first matching coefficient for a plurality of risk operation data meeting the first matching relation to obtain a first group of risk factors; calculating the accumulated sum of the corresponding risk indexes by adopting a second matching coefficient for a plurality of risk operation data meeting the second matching relation to obtain a second group of risk factors;
adding the first group of risk factors and the second group of risk factors to obtain total risk factors, and dividing the total risk factors by the total unsafe operation behavior number to obtain a regional risk grade index;
And determining the risk level corresponding to the set area according to the risk level index.
The first group of risk factors is calculated by multiplying a first matching coefficient after accumulating and summing risk indexes corresponding to a plurality of risk operation data meeting the first matching relationship, so as to obtain the first group of risk factors. And the second group of risk factors is obtained by multiplying a second matching coefficient after the risk indexes corresponding to the plurality of risk operation data meeting the second matching relationship are accumulated and summed. And adding the two groups of risk factors to obtain a total risk factor, dividing the total risk factor by the total unsafe operation behavior quantity to obtain a regional risk grade index, and determining the risk grade corresponding to the set region.
Wherein the first matching coefficient is smaller than the second matching coefficient. The weight of the calculation of the regional risk level index by the risk job data having the correlation increases, and the influence on the calculation result of the risk level index also increases.
In some embodiments, the determining the security protection level corresponding to the set area according to the risk level in the step S50 includes:
under the condition that the risk level is higher than a preset risk level, sending a site emergency investigation signal and the risk operation data list to a safety manager; and the risk operations in the risk operation data list are sequentially arranged according to the order of the risk indexes from the big to the small.
And carrying out safety control measures under the condition that the risk level of the set area exceeds the preset risk level through the preset risk level. Specifically, an emergency investigation signal is sent to the safety manager, and the safety manager is provided for field emergency investigation, so that hidden danger is eliminated in time. Meanwhile, security management personnel can receive a risk operation data list, and the security management personnel can determine possible risk points and risk sizes according to the list and conduct investigation in sequence, so that the situation of large potential safety hazards can be eliminated as soon as possible, and the possibility of sending safety accidents is reduced.
In order to improve the safety work quality of the worker, further, in some embodiments, the method further includes:
acquiring investigation feedback data of site safety management personnel;
setting a correction scheme corresponding to risk operation behaviours according to the investigation feedback data;
sending the modification scheme to corresponding personnel of the risk operation behaviors, receiving modification feedback of the corresponding personnel, and adjusting unsafe operation behaviors corresponding to the risk operation data;
the process goes to step S30.
For some unsafe operation behaviors, the system feeds back the checking result of the safety management personnel to the corresponding risk operation behavior personnel, and notifies the risk operation behavior personnel, so that the system can play roles of warning and education. According to the method, a correction scheme of a person corresponding to risk operation can be formulated according to the investigation feedback data of the security manager, the correction scheme is sent to the corresponding person, correction feedback is received, unsafe operation behaviors of the risk operation data are adjusted according to the correction feedback, the step S30 is skipped on the basis, risk indexes of the corresponding risk operation are recalculated, and the risk grade of a set area is determined. Therefore, potential safety hazards can be timely notified to corresponding unsafe operation behavior personnel, a correction scheme is formulated and corrected in a targeted mode, correction feedback is received, the cognitive level and the capacity of the operation behavior personnel for safe operation are improved, the identification of unsafe operation behaviors of risk operation data is further timely adjusted, and timeliness and accuracy of regional safety management and control are greatly improved.
In an embodiment, after determining the risk level of the set area according to the risk index corresponding to each risk job data and the preset area risk level algorithm in step S40", the method may further include:
and according to the risk grade matching the risk early warning color of the set area, marking the set area on a monitoring area map by using the risk early warning color.
Through carrying out visual show on the map to the risk level of setting for the region, can audio-visual understanding set for the risk condition of region, to the scene that monitoring area map includes a plurality of setting for the region, can follow the audio-visual risk distribution condition of knowing whole monitoring area on the map of monitoring area, be convenient for overall security management scheme lighten safety supervisor's work load.
In addition, referring to fig. 2, the present invention further provides a system 100 for evaluating a risk level of an area with unsafe operation behaviors (also referred to as a system 100 for short), where the system 100 for evaluating a risk level of an area with unsafe operation behaviors may specifically include the following structural modules:
a data acquisition module 110 for acquiring all job data of the set area;
The risk operation identifying module 120 is in communication connection with the data obtaining module 110, and is configured to determine all unsafe operation behaviors corresponding to each operation data according to all the operation data and a preset unsafe operation behavior library, and identify the corresponding operation data with unsafe operation behaviors as risk operation data;
the risk index determining module 130 is in communication connection with the risk operation identifying module 120, and is configured to determine a risk index of the corresponding risk operation data according to all unsafe operation behaviors included in each risk operation data and a preset operation risk index model;
the regional risk level determining module 140 is in communication connection with the risk index determining module 130, and is configured to determine a risk level of the set region according to a risk index corresponding to each risk job data and a preset regional risk level algorithm;
the safety protection scheme making module 150 is communicatively connected to the region risk level determining module 140, and is configured to determine a safety protection level of a corresponding set region according to the risk level, and make a matched safety protection scheme.
In some embodiments, the risk index determination module 130, when implemented, may determine the risk index of the corresponding risk job data according to all unsafe job behaviors and preset job risk index models included in each risk job data in the following manner: determining risk indexes of all unsafe operation behaviors corresponding to each risk operation data according to a preset operation risk index model; and accumulating risk indexes corresponding to all unsafe operation behaviors, calculating an average value, and determining the risk index corresponding to the risk operation data according to the average value.
In some embodiments, the risk index determination module 130, when embodied, may determine the risk index of the corresponding risk job data from the average value in the following manner: identifying the number of unsafe operation behaviors included in each risk operation data, and determining a proportionality coefficient according to the number of unsafe operation behaviors; and determining the risk index of the corresponding risk operation data as the proportional coefficient multiplied by the average value.
In some embodiments, the system further includes a degree of association identification module in communication with the risk job identification module 120 and a matching relationship determination module in communication with the degree of association identification module. The association degree identification module is used for identifying the association degree of the risk job data; wherein the degree of correlation includes a job range of the plurality of risk job data and a proximity of the job time period.
The matching relation determining module is used for determining a first matching relation under the condition that the degree of correlation of the plurality of risk job data is smaller than a preset correlation degree threshold value; determining a second matching relationship under the condition that the association degree of the plurality of risk job data is larger than a preset association degree threshold value;
The region risk level determining module 140 is communicatively connected to the matching relationship determining module, and is configured to adjust a preset region risk level algorithm according to the first matching relationship and the second matching relationship, and calculate a risk level of the set region according to the adjusted preset region risk level algorithm.
In some embodiments, the area risk level determining module 140 may calculate the risk level of the set area according to the adjusted preset area risk level algorithm in the following manner when in implementation: calculating the accumulated sum of corresponding risk indexes by adopting a first matching coefficient for a plurality of risk operation data meeting a first matching relation to obtain a first group of risk factors; calculating the accumulated sum of the corresponding risk indexes by adopting a second matching coefficient for a plurality of risk operation data meeting a second matching relation to obtain a second group of risk factors; adding the first group of risk factors and the second group of risk factors to obtain total risk factors, and dividing the total risk factors by the total unsafe operation behavior number to obtain a regional risk grade index; and determining the risk level corresponding to the set area according to the risk level index.
In some embodiments, the security scheme formulation module 150 may determine the security level of the corresponding set area according to the risk level in the following manner when in implementation: under the condition that the risk level is higher than a preset risk level, sending a site emergency investigation signal and a risk operation data list to a safety manager; and the risk operations in the risk operation data list are sequentially arranged according to the order of the risk indexes from the big to the small.
The system 100 for evaluating the risk level of the area by the unsafe operation behavior provided in this embodiment corresponds to the above method for evaluating the risk level of the area by the unsafe operation behavior, and the functions of each module in the system 100 for evaluating the risk level of the area in this embodiment are described in detail in the corresponding method embodiments, which are not described herein.
It will be apparent that the embodiments described above are merely some, but not all, embodiments of the invention. Based on the embodiments of the present invention, those skilled in the art may make other different changes or modifications without making any creative effort, which shall fall within the protection scope of the present invention.
Claims (10)
1. A method for evaluating regional risk levels with unsafe job behavior, comprising:
s10, acquiring all operation data of a set area;
s20, determining all unsafe operation behaviors corresponding to each operation data according to all the operation data and a preset unsafe operation behavior library, and identifying the corresponding operation data with unsafe operation behaviors as risk operation data;
s30, determining a risk index corresponding to the risk operation data according to all unsafe operation behaviors included in each risk operation data and a preset operation risk index model;
S40, determining the risk level of the set region according to the risk index corresponding to each risk operation data and a preset region risk level algorithm;
s50, determining the security protection level corresponding to the set area according to the risk level, and making a matched security protection scheme.
2. The method of claim 1, wherein said determining a risk index corresponding to said risk job data based on all unsafe job behaviors and a preset job risk index model included in each of said risk job data comprises:
determining risk indexes of all unsafe operation behaviors corresponding to each risk operation data according to the preset operation risk index model;
and accumulating the risk indexes corresponding to all unsafe operation behaviors, calculating an average value, and determining the risk index corresponding to the risk operation data according to the average value.
3. The method of claim 2, wherein the determining a risk index corresponding to the risk job data from the average value comprises:
identifying the number of unsafe operation behaviors included in each risk operation data, and determining a proportion coefficient according to the number of unsafe operation behaviors;
And determining a risk index corresponding to the risk operation data as the proportionality coefficient multiplied by the average value.
4. A method according to any one of claims 1 to 3, wherein determining the risk level of the set area according to a preset area risk level algorithm according to the risk index corresponding to each risk job data includes:
identifying the degree of correlation of the risk job data; wherein the degree of correlation includes a degree of closeness of a working range and a working period of a plurality of the risk working data;
if the degree of correlation of the plurality of risk job data is smaller than a preset correlation degree threshold, determining a first matching relationship; if the association degrees of the plurality of risk job data are larger than the preset association degree threshold value, determining a second matching relationship;
and adjusting the preset region risk level algorithm according to the first matching relation and the second matching relation, and calculating the risk level of the set region according to the adjusted preset region risk level algorithm.
5. The method of claim 4, wherein the calculating the risk level of the set area according to the adjusted preset area risk level algorithm comprises:
Calculating the accumulated sum of the corresponding risk indexes by adopting a first matching coefficient for a plurality of risk operation data meeting the first matching relation to obtain a first group of risk factors; calculating the accumulated sum of the corresponding risk indexes by adopting a second matching coefficient for a plurality of risk operation data meeting the second matching relation to obtain a second group of risk factors;
adding the first group of risk factors and the second group of risk factors to obtain total risk factors, and dividing the total risk factors by the total unsafe operation behavior number to obtain a regional risk grade index;
and determining the risk level corresponding to the set area according to the risk level index.
6. The method of claim 1, wherein said determining a security level corresponding to the set area based on the risk level comprises:
under the condition that the risk level is higher than a preset risk level, sending a site emergency investigation signal and the risk operation data list to a safety manager; and the risk operations in the risk operation data list are sequentially arranged according to the order of the risk indexes from the big to the small.
7. The method of claim 6, wherein the method further comprises:
Acquiring investigation feedback data of site safety management personnel;
setting a correction scheme corresponding to risk operation behaviours according to the investigation feedback data;
sending the modification scheme to corresponding personnel of the risk operation behaviors, receiving modification feedback of the corresponding personnel, and adjusting unsafe operation behaviors corresponding to the risk operation data;
the process goes to step S30.
8. The method according to claim 1, wherein after the step of determining the risk level of the set area according to a preset area risk level algorithm based on the risk index corresponding to each of the risk job data, the method further comprises:
and according to the risk grade matching the risk early warning color of the set area, marking the set area on a monitoring area map by using the risk early warning color.
9. A system for assessing regional risk levels in unsafe operating conditions, comprising:
the data acquisition module is used for acquiring all operation data of the set area;
the risk operation identification module is in communication connection with the data acquisition module and is used for determining all unsafe operation behaviors corresponding to each operation data according to all the operation data and a preset unsafe operation behavior library and identifying the corresponding operation data with unsafe operation behaviors as risk operation data;
The risk index determining module is in communication connection with the risk operation identifying module and is used for determining a risk index corresponding to the risk operation data according to all unsafe operation behaviors included in each risk operation data and a preset operation risk index model;
the regional risk level determining module is in communication connection with the risk index determining module and is used for determining the risk level of the set region according to a preset regional risk level algorithm according to the risk index corresponding to each risk operation data;
and the safety protection scheme making module is in communication connection with the regional risk level determining module and is used for determining the safety protection level corresponding to the set region according to the risk level and making a matched safety protection scheme.
10. A system for assessing regional risk level in unsafe operating conditions as claimed in claim 9 further comprising:
the association degree identification module is in communication connection with the risk operation identification module and is used for identifying the association degree of the risk operation data; wherein the degree of correlation includes a degree of closeness of a working range and a working period of a plurality of the risk working data;
The matching relation determining module is in communication connection with the association degree identifying module and is used for determining a first matching relation under the condition that the mutual association degrees of the plurality of risk job data are smaller than a preset association degree threshold value; determining a second matching relationship under the condition that the association degrees of a plurality of risk job data are larger than the preset association degree threshold value;
the regional risk level determining module is in communication connection with the matching relation determining module and is used for adjusting the preset regional risk level algorithm according to the first matching relation and the second matching relation and calculating the risk level of the set region according to the adjusted preset regional risk level algorithm.
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