Security risk assessment management method and system for marketing field operation terminal

Abstract

The invention discloses a safety risk assessment management method and system for a marketing field operation terminal, and relates to the technical field of safety assessment, and the method comprises the steps: carrying out the modeling of a terminal risk through FTA, selecting a frequent accident of the terminal for modeling, carrying out the risk level statistics and risk level distribution statistics of historical and newly-added field operation, and carrying out the safety assessment of the terminal. Statistical analysis is carried out by taking operation risk quantification, comprehensive operation risk situation quantification, risk situation and the like as themes, the risk situation of field operation is visually reflected from different sides, a basis is provided for a management decision-making layer, and an interface realizes the function of displaying operation risk quantification and comprehensive operation risk situation quantification in a mode of combining a graph and a list.

Description

Technical Field

[0001] The present invention relates to the technical field of safety assessment, and in particular to a safety risk assessment management method and system for a marketing field operation terminal. Background Art

[0002] At present, enterprise safety management is mostly carried out in the form of remote video inspection + on-site inspection, among which remote video inspection is the main method. For example, Chinese patent No. CN115912639A discloses a power outage visualization monitoring system based on a big data platform, including a data input module, a comprehensive information analysis module, a data module, and an emergency command module. After the data display module displays the rescue situation, the emergency command module conducts targeted rescue command work. Carrying out visual emergency assessment of power outages, realizing the visual display of various functional information, realizing visualization through video inspection, and improving the level of remote risk management and control capabilities. Chinese patent with publication number CN111667165A discloses an intelligent mobile application business system and application based on electricity, including an electricity business module, an enterprise resource module, a decision analysis module, and an industrial finance module, providing unified information collection and authentication, and achieving automatic identification of the network and intelligent access to applications, realizing the integration of power mobile office, ensuring the stable, orderly and efficient development of the industrial business of the power company, and improving the efficiency of mobile office. Usually, this type of safety control mainly utilizes risk control platforms, SG186 marketing systems, collection systems, marketing field operation platforms, etc. to strengthen the management of field operations. During the actual field operation risk assessment process, risk assessors carry out hazard identification, risk level determination and general measure identification in accordance with risk assessment technical standards, mainly based on experience-based judgment. At the same time, a large amount of data generated by the operational risk management process such as historical accidents, violations, personnel management, and environment lacks systematic and effective management and application, resulting in a single dimension of operational risk assessment, and the assessment results and control measures lack pertinence, objectivity and scientificity. Therefore, the present invention proposes a safety risk assessment management method and system for marketing field operation terminals. Summary of the invention

[0003] In view of the above shortcomings of the prior art, the present invention provides the following technical solution: a safety risk assessment management method for a marketing field operation terminal, comprising the following steps:

[0004] S1: Identify all risks and list all possible sources of danger that may cause injury, including mechanical equipment, electrical equipment, working at heights, chemicals and transportation;

[0005] S2: Assess all risks. Risk assessment includes the assessment of the likelihood and severity of each hazard source, including:

[0006] Probability (P) is used to assess the frequency and / or probability of harm caused by a hazard;

[0007] Severity (S) is used to assess the extent of loss caused by the injury;

[0008] S3: Divide the risk level into several areas, and give the baseline risk level and the actual dynamic influencing factor level of each area;

[0009] S4: Formulate risk measures, including: risk point analysis before operation, risk identification, preventive measures, operation monitoring measures, including real-time monitoring of the safe distance between workers and electrical equipment during operation and sound and light alarm;

[0010] S5: Eliminate the source of danger, use historical data and real-time data to analyze the data information characteristics of risk factors under different conditions, calculate the judgment matrix respectively, and conduct a one-time test;

[0011] S6: Regularly re-evaluate and collect expert opinions for steps S1-S5 and conduct secondary sorting and summarization;

[0012] S7: Monitor the control effect. Based on the combination number OWA operator weighting method, give the middle data a larger weight, and give the extreme value data that are too large or too small a smaller weight. After determining each evaluation value through the combination number OWA operator weighting method, use the operation condition hazard assessment method to comprehensively consider various risk factors to derive the risk assessment of each operation.

[0013] Further: the step S2 further includes: using FTA to model terminal risks, selecting common overturning accidents and falling object accidents in the terminal for modeling, analyzing the mutual coupling relationship between various factors in the accident, thereby constructing a terminal risk accident tree model, and analyzing the causal relationship between terminal risk factors and various accidents.

[0014] Further: the step S7 also includes the step of providing visual monitoring, including: providing a daily average risk value bar chart, a daily risk level proportion pie chart, a risk level stacking chart of each unit and a risk value bar chart of each unit, etc.

[0015] Further: the risk level R is calculated through step 2,

[0016] R = P × S;

[0017] When R≥50, the monitoring end will give an alarm signal that the operation must be stopped immediately and emergency measures must be taken.

[0018] Further: in step S3, the risk level is divided into nine areas, the first area is high risk, large amplitude; the operating benchmark risk in this area is high, and the actual dynamic influencing factor amplitude is large; the second area is high risk, medium amplitude; the operating benchmark risk in this area is high, the actual dynamic influencing factor amplitude is medium, and the focus is on the operating benchmark risk; the third area is medium risk, large amplitude; the operating benchmark risk in this area is medium, the actual dynamic influencing factor amplitude is large, and the focus is on the dynamic influencing factor; the fourth area is high risk, small amplitude; the operating benchmark risk in this area is high, and the actual dynamic influencing factor amplitude is small; the fifth area is medium risk, medium amplitude; the operating benchmark risk in this area is medium, and the actual dynamic influencing factor amplitude is medium ; The sixth area is low risk and large amplitude. The operating benchmark risk in this area is low, and the actual dynamic influencing factors have a large amplitude. The seventh area is medium risk and small amplitude. The operating benchmark risk in this area is medium, and the actual dynamic influencing factors have a small amplitude. Measures need to be formulated for the operating benchmark risk. The dynamic influencing factor score accounts for a low proportion, and the focus should be on the impact of the operating benchmark risk; The eighth area is low risk and medium amplitude. The operating benchmark risk in this area is low, and the actual dynamic influencing factors have a medium amplitude. Measures need to be formulated for the dynamic influencing factors. The dynamic influencing factor score accounts for a high proportion, and the focus should be on the impact of the dynamic factors; The ninth area is low risk and small amplitude. The operating benchmark risk in this area is low, and the actual dynamic influencing factors have a small amplitude, and no attention is needed.

[0019] The present invention also provides a safety risk assessment management system for marketing field operation terminals, which includes: various collectors, concentrators and servers for collecting electrical equipment operation data,

[0020] The collector is used to collect operation data, which is collected through a concentrator and sent to a server. After an abnormal signal is collected, an alarm message is issued to remind maintenance personnel to perform necessary maintenance. After an abnormal signal occurs, the server can locate the source and location of the fault.

[0021] Further: the collector is used to collect multi-source data and extract personnel information related to business systems and operational risks, power grid equipment status evaluation information, violation inspection information, baseline risk data, and external meteorological data and accident event data.

[0022] The concentrator aggregates the data into a data integration module, which is used to store, extract, transform, load data and manage data quality.

[0023] Furthermore: it also includes a risk calculation module and a display module. The risk calculation module is used to automatically associate data with risk indicators, calculate indicator scores, scores of each dimension and the overall operation risk value. The display module is used to display the operation risk rating, scores of each dimension and major influencing factors.

[0024] Compared with the prior art, the present invention has the following beneficial effects:

[0025] The present invention conducts risk level statistics and risk level distribution statistics for historical and newly added on-site operations, and conducts statistical analysis with themes such as operation risk quantification, comprehensive operation risk situation quantification, and risk situation, so as to intuitively reflect the risk situation of on-site operations from different aspects and provide a basis for management decision-makers. The interface realizes the function of displaying operation risk quantification and comprehensive operation risk situation quantification in a combination of graphics and lists. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] Figure 1 This is a flow chart of the safety risk assessment management method of the present invention.

[0027] Figure 2 It is a schematic diagram of the safety risk assessment management system of the present invention. DETAILED DESCRIPTION

[0028] See also Figure 1 The present invention provides a technical solution: a safety risk assessment management method for a marketing field operation terminal, comprising the following steps:

[0029] S1: Identify all risks and list all possible sources of danger that may cause injury, including mechanical equipment, electrical equipment, working at heights, chemical substances, vehicles, etc.

[0030] S2: Assess all risks. Risk assessment usually includes the assessment of the probability and severity of each hazard. The probability (P) refers to the frequency or probability of a hazard causing harm, and the severity (S) refers to the degree of loss that may be caused if the harm occurs.

[0031] S3: Divide the risk level into nine areas, and give the baseline risk level and the actual dynamic influencing factor level of each area;

[0032] The preferred division can be based on the guidance of relevant regulations on safety risk prevention, for example: the first area is high risk, large amplitude; the operating benchmark risk in this area is high, and the actual dynamic influencing factors have a large amplitude; the second area is high risk, medium amplitude; the operating benchmark risk in this area is high, and the actual dynamic influencing factors have a medium amplitude, with a focus on the operating benchmark risk; the third area is medium risk, large amplitude; the operating benchmark risk in this area is medium, and the actual dynamic influencing factors have a large amplitude, with a focus on the dynamic influencing factors; the fourth area is high risk, small amplitude; the operating benchmark risk in this area is high, and the actual dynamic influencing factors have a small amplitude; the fifth area is medium risk, medium amplitude; the operating benchmark risk in this area is medium, and the actual dynamic influencing factors have a medium amplitude etc.; The sixth area is low risk and large amplitude; the operating benchmark risk in this area is low, and the actual dynamic influencing factors have a large amplitude; the seventh area is medium risk and small amplitude. The operating benchmark risk in this area is medium, and the actual dynamic influencing factors have a small amplitude. Measures need to be formulated for the operating benchmark risk. The dynamic influencing factor score accounts for a low proportion, and the focus should be on the impact of the operating benchmark risk; the eighth area is low risk and medium amplitude. The operating benchmark risk in this area is low, and the actual dynamic influencing factors have a medium amplitude. Measures need to be formulated for the dynamic influencing factors. The dynamic influencing factor score accounts for a high proportion, and the focus should be on the impact of the dynamic factors; the ninth area is low risk and small amplitude. The operating benchmark risk in this area is low, and the actual dynamic influencing factors have a small amplitude, so no attention is needed;

[0033] S4: Formulate risk response measures, strengthen risk point analysis before operation, do a good job in risk identification, clarify preventive measures, strengthen operation supervision, and resolutely put an end to unplanned operations or operations beyond the scope of operation and other illegal behaviors. When marketing operators enter the customer's power supply facilities, they must be accompanied by customer personnel who are familiar with the on-site equipment; during the operation, they must maintain a sufficient safety distance from the electrical equipment, monitor the safety distance between the staff and the electrical equipment in real time during the operation, and sound and light alarm when the threshold is reached; it is strictly forbidden to operate the customer's equipment without authorization;

[0034] S5: Eliminate the source of danger, eliminate the risks existing in the marketing field operation, and finally eliminate the inherent risks. According to the causes of the problems, the data information and data information characteristics of the risk factors under different conditions can be obtained by using data analysis methods, and the judgment matrix can be calculated respectively, and a one-time test can be carried out;

[0035] S6: Regularly re-evaluate to test the rationality and effectiveness of the above steps, solicit opinions from users and experts, and then sort and summarize them for the second time. After multiple consultations with experts, relatively consistent opinions are obtained.

[0036] It is preferred to use fuzzy mathematics theory and use the mathematical theory of fuzzy information uncertainty to conduct mathematical discussions. Fuzzy mathematics mainly converts the concept of centralized elements into something similar to an ordinary aggregate, thus drawing conclusions.

[0037] S7: Monitoring and control effects, based on the combination number OWA operator weighting method, can give greater weights to the middle data and smaller weights to the extreme value data that are too large or too small, making the aggregated results more fair. It is a more reasonable weight determination method. After determining each evaluation value through the combination number OWA operator weighting method, the various risk factors are integrated through the operating condition hazard assessment method to obtain a risk assessment for each operation.

[0038] In one embodiment, preferably, FTA is used to model terminal risks, and common terminal accidents are selected for modeling. Considering that the types of accidents in the terminal use stage are: overturning accidents and falling object accidents, the mutual coupling relationship of various factors is analyzed, and a terminal risk accident tree model is constructed to analyze the causal relationship between terminal risk factors and various accidents. The visualization statistical chart function is a comprehensive and three-dimensional display and analysis of the calculation result data. The visualization statistical chart function includes a daily average risk value bar chart, a daily risk level proportion pie chart, a unit risk level stacking chart and a unit risk value bar chart, etc. Among them, the daily average risk value bar chart is a bar chart that users can filter by time, view the daily global risk value accumulation for a period of time, and display the average value straight line within the period of time, providing a visual risk trend reference;

[0039] Strengthen the safety supervision of the professional operation site, give full play to the professional anti-violation subject role, arrange the professional familiar with the safety production rules and regulations, and have strong professional quality personnel to carry out safety supervision work, according to the requirements of the operation risk classification control, in accordance with the "four no two direct" principle, carry out on-site supervision and inspection in layers and grades, promptly investigate and deal with all kinds of violations at the operation site, investigate and correct the signs and tendencies of on-site operations, supervise the rectification of violations in a closed loop, regularly count and analyze safety supervision and violations, put forward opinions and suggestions for strengthening safety management, and gradually strengthen the safety supervision and management of the operation site. Risk level (R) It is obtained by multiplying the possibility and severity, that is, R = P × S; the risk level can be further divided into different levels. For example, if R <10, the risk is considered acceptable; if 10≤R<50, measures need to be taken to reduce the risk; if R≥50, the operation must be stopped immediately and emergency measures must be taken. For each risk that needs to be controlled, corresponding control measures need to be formulated. Control measures are usually divided into elimination of hazard sources, alternative hazard sources, engineering control (such as setting up protective facilities), administrative control (such as limiting working hours), and personal protective equipment according to priority from high to low.

[0040] According to another embodiment of the present invention, the present invention also provides a safety risk assessment and management system for marketing field operation terminals, which is used to better implement the above-mentioned safety risk assessment and management method for marketing field operation terminals. The system includes a certain number (1...N) of various collectors, concentrators and servers for collecting electrical equipment operation data.

[0041] The collector is used to collect the readings of the electricity meter, and the data of the terminal monitoring equipment is collected through the concentrator. It has the function of data exchange and storage. After receiving the abnormal signal, the system can promptly determine the fault point and issue an alarm message to remind the maintenance personnel to perform necessary maintenance. After the abnormal signal appears, the main server should locate the fault location according to the abnormal signal sent by the collection terminal. The multi-source data acquisition module is used to extract personnel related to the business system and operational risks, power grid equipment status evaluation, violation inspection, benchmark risk data, as well as external meteorological data and accident events. The data integration module is used to store, extract, transform, load data and manage data quality. The risk calculation module is used to automatically associate data with risk indicators, calculate indicator scores, scores of each dimension and overall operational risk values. The display module is used to display operational risk ratings, scores of each dimension and major influencing factors.

[0042] In summary, the present invention provides a safety risk assessment management method and system for marketing field operation terminals, which provides a scientific and effective management method for safety risk assessment, avoiding the limitations brought by the risk assessors' subjective experience judgment in the actual field operation risk assessment process, and carrying out hazard identification, risk level determination and general measure identification in accordance with risk assessment technical standards. The system of the present invention provides a multi-dimensional operation risk assessment function, making the assessment results and control measures more targeted, objective and scientific.

[0043] The technical features of the above embodiments can be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0044] The above-mentioned embodiments only express several implementation methods of the present invention, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the invention patent. It should be pointed out that, for ordinary technicians in this field, several variations and improvements can be made without departing from the concept of the present invention, and these all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be subject to the attached claims.

Claims

1. A safety risk assessment management method for a marketing field operation terminal, characterized in that: The following steps are involved: S1: Identify all risks and list all possible sources of danger that may cause injury, including mechanical equipment, electrical equipment, working at heights, chemicals and transportation; S2: Assess all risks. Risk assessment includes the assessment of the likelihood and severity of each hazard source, including: Probability (P) is used to assess the frequency and / or probability of harm caused by a hazard; Severity (S) is used to assess the extent of loss caused by the injury; S3: Divide the risk level into several areas, and give the baseline risk level and the actual dynamic influencing factor level of each area; S4: Formulate risk measures, including: risk point analysis before operation, risk identification, preventive measures, operation monitoring measures, including real-time monitoring of the safe distance between workers and electrical equipment during operation and sound and light alarm; S5: Eliminate the hazard source, use historical data and real-time data to analyze the data information characteristics of risk factors under different conditions, calculate the judgment matrix respectively, and conduct tests; S6: Regularly re-evaluate and collect expert opinions for steps S1-S5 and conduct secondary sorting and summarization; S7: Monitor the control effect. Based on the combination number OWA operator weighting method, give the middle data a larger weight, and give the extreme value data that are too large or too small a smaller weight. After determining each evaluation value through the combination number OWA operator weighting method, use the operation condition hazard assessment method to comprehensively consider various risk factors to derive the risk assessment of each operation.

2. A method for safety risk assessment and management of a marketing field operation terminal according to claim 1, characterized in that: Step S2 further includes: using FTA to model terminal risks, selecting common overturning accidents and falling object accidents in terminals for modeling, analyzing the mutual coupling relationship between various factors in the accidents, thereby constructing a terminal risk accident tree model, and analyzing the causal relationship between terminal risk factors and various accidents.

3. The method for safety risk assessment and management of a marketing field operation terminal according to claim 1, characterized in that: The step S7 also includes the step of providing visual monitoring, including: providing a daily average risk value bar chart, a daily risk level proportion pie chart, a risk level stacking chart for each unit, and a risk value bar chart for each unit, etc.

4. The method for safety risk assessment and management of a marketing field operation terminal according to claim 1, characterized in that: Calculate the risk level R through step 2, R = P × S; When R≥50, the monitoring end will give an alarm signal that the operation must be stopped immediately and emergency measures must be taken.

5. The method for safety risk assessment and management of a marketing field operation terminal according to claim 1, characterized in that: In step S3, the risk level is divided into nine areas, the first area is high risk, large amplitude; The baseline risk of operations in this area is high, and the actual dynamic influencing factors are large; The second area is high risk, medium magnitude; In this area, the operating benchmark risk is high, the actual dynamic influencing factors are of medium magnitude, and the focus is on the operating benchmark risk; the third area is medium risk, with a large magnitude; The baseline risk of operations in this area is medium, and the actual dynamic influencing factors are large, so the focus is on dynamic influencing factors; The fourth area is high risk, small amplitude; The baseline risk of operations in this area is high, and the actual dynamic influencing factors are small; The fifth zone is medium risk, medium magnitude; The baseline risk of operations in this area is medium, and the magnitude of actual dynamic influencing factors is medium; The sixth zone is low risk, large magnitude; The baseline risk of operations in this area is low, and the actual dynamic influencing factors are large; The seventh area is medium risk with a small amplitude. The operating benchmark risk in this area is medium, and the actual dynamic influencing factors have a small amplitude. Measures need to be formulated for the operating benchmark risk. The dynamic influencing factor score accounts for a low proportion, and the focus should be on the impact of the operating benchmark risk; the eighth area is low risk with a medium amplitude. The operating benchmark risk in this area is low, and the actual dynamic influencing factors have a medium amplitude. Measures need to be formulated for the dynamic influencing factors. The dynamic influencing factor score accounts for a high proportion, and the focus should be on the impact of the dynamic factors; the ninth area is low risk with a small amplitude. The operating benchmark risk in this area is low, and the actual dynamic influencing factors have a small amplitude, and no attention is needed.

6. A safety risk assessment management system for marketing field operation terminals, characterized in that: include: Various collectors, concentrators and servers that collect operating data of electrical equipment, The collector is used to collect operation data, which is collected through a concentrator and sent to a server. After an abnormal signal is collected, an alarm message is issued to remind maintenance personnel to perform necessary maintenance. After an abnormal signal occurs, the server can locate the source and location of the fault.

7. The system according to claim 6, characterized in that: The collector is used to collect multi-source data and extract personnel information related to business systems and operational risks, power grid equipment status evaluation information, violation inspection information, baseline risk data, and external meteorological data and accident event data. The concentrator aggregates the data into a data integration module, which is used to store, extract, transform, load data and manage data quality.

8. The system according to claim 6, characterized in that It also includes a risk calculation module and a display module. The risk calculation module is used to automatically associate data with risk indicators, calculate indicator scores, scores of each dimension and overall operation risk values. The display module is used to display operation risk ratings, scores of each dimension and major influencing factors.

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