Communication engineering safety management evaluation method

Abstract

The invention discloses a communication engineering safety management evaluation method, which comprises the following steps of: designing a communication engineering safety management questionnaire survey table, collecting real-time data through a field automatic monitoring system, and cleaning the real-time data; determining evaluation factors according to the questionnaire data and the monitoring data, and constructing a fuzzy evaluation matrix; weight vectors of the evaluation factors are determined, and the contribution degree of each evaluation factor to the safety management condition is calculated through a fuzzy comprehensive evaluation method; establishing a communication engineering safety management knowledge graph by using historical safety accident cases, and identifying key influence factors; determining the contribution degree of a correction factor to the safety management condition by using the key influence factor, and correcting the contribution degree; and performing communication engineering safety evaluation by using the contribution degree of the corrected evaluation factor. According to the method, the questionnaire data and the monitoring data are combined, the fuzzy evaluation matrix is constructed, the knowledge graph is constructed in combination with the historical safety accident cases, the key influence factors are identified, and the correction factors are determined, so that the pertinence and practicability of the evaluation result are improved.

Description

Technical Field

[0001] The present invention relates to a technical field of information and communication technology specially suitable for supervision purposes, in particular to a technical field of project management, and specifically to a communication engineering safety management evaluation method. Background Art

[0002] With the development of science and technology and the widespread application of Internet technology, communication plays an increasingly important role in people's daily lives. As the infrastructure supporting information transmission in modern society, the security and stability of communication engineering are directly related to the development of social economy and the quality of people's daily lives. Therefore, the security management of communication engineering has become particularly important.

[0003] Communication engineering projects are usually characterized by high technology intensity, wide coverage, large investment, and long duration, which determine the high risk of the project. Good project risk assessment and management are of great significance to the correct execution of the project. By fully understanding and evaluating the various risks in the construction of communication engineering, enterprises can avoid and reduce the adverse effects of risks, improve the success rate of engineering projects and user satisfaction, and fundamentally enhance the competitiveness of enterprises.

[0004] The existing communication engineering safety management assessment methods mainly rely on the subjective judgment and experience accumulation of experts, and lack scientific and systematic quantitative analysis methods. This highly subjective assessment method is easily affected by factors such as the assessor's personal bias and knowledge level, resulting in inconsistency and uncertainty in the assessment results; due to the lack of quantitative analysis basis, the assessment results are often difficult to objectively and accurately reflect the actual risk status of communication engineering projects, resulting in the inability of enterprises to accurately identify potential risks during project execution, and thus unable to take effective risk prevention and response measures; historical safety accident cases are valuable experience and lessons resources, which are of great significance for guiding the risk assessment and management of current and future projects. However, existing technologies often ignore the effective use of these resources, reducing the accuracy and effectiveness of the assessment.

[0005] Therefore, it is necessary to improve the communication engineering security management assessment method in the prior art to solve the above problems. Summary of the invention

[0006] The present invention overcomes the shortcomings of the prior art and provides a communication engineering safety management evaluation method, aiming to solve the problem of lack of scientific and systematic quantitative analysis means evaluation in the prior art, as well as the problem of ignoring the effective utilization of historical safety accident case resources resulting in reduced evaluation accuracy and effectiveness.

[0007] To achieve the above object, the technical solution adopted by the present invention is: a communication engineering security management assessment method, comprising: S1. Design a communication engineering safety management questionnaire, collect real-time data through the on-site automated monitoring system, and clean the collected questionnaire data and real-time data; S2. Based on the questionnaire data and monitoring data, clarify all evaluation factors that affect the safety management of communication engineering and construct a fuzzy evaluation matrix; S3. Determine the weight vector of the evaluation factors and calculate the contribution of each evaluation factor to the safety management status through the fuzzy comprehensive evaluation method; S4. Use historical safety accident cases to establish a knowledge map of communication engineering safety management and identify key factors affecting safety management; S5. Determine the correction factor using the key influencing factors, and use the correction factor to correct the contribution of each evaluation factor to the safety management status; S6. Use the contribution of the revised evaluation factors to conduct communication engineering security assessment.

[0008] In a preferred embodiment of the present invention, in step S1, the communication engineering safety management data collected using the questionnaire includes: safety system management, safety technology management, equipment and facility management, on-site safety management; automated monitoring collects equipment operation data, environmental parameters, and personnel activity data.

[0009] In a preferred embodiment of the present invention, in step S2, the primary index is , the corresponding first-level indicators are: safety system management, safety technology management, equipment and facility management, and on-site safety management; The secondary indicators are: Evaluation factors set for safety system management The corresponding secondary indicators are: production safety responsibility system and implementation, production safety fund guarantee system and implementation, safety education system and implementation, safety inspection and hidden danger investigation system and implementation, production safety emergency rescue system and implementation; Evaluation Factor Set of Safety Technology Management The corresponding secondary indicators are: operating procedures and processes, construction organization design, special construction plans and measures, safety technology disclosure, and hazard source control; Evaluation factor set for equipment and facility management , the corresponding secondary indicators are: equipment safety management, facilities and protective equipment, safety signs, and safety inspection and testing tools; Evaluation factor set for on-site safety management ,The corresponding secondary indicators are: on-site environmental safety, qualification and personnel management, and insurance; Evaluation Set The evaluation is as follows: excellent, good, qualified, unqualified; For each first-level indicator, a fuzzy evaluation matrix is ​​constructed, where the rows represent the second-level indicators and the columns represent the evaluation sets; ,in, Indicates First level indicator The secondary indicators were evaluated as The membership degree of the evaluation set; , for each row in the matrix, i.e. each secondary indicator, the sum of its membership degree should be 1, i.e. ,in, is the number of levels in the evaluation set.

[0010] In a preferred embodiment of the present invention, in step S3, the contribution of each secondary indicator to the communication engineering security management is calculated using the fuzzy relationship matrix and the weight vector: ; Indicates The contribution of the secondary indicators, Indicates The evaluation set is for The membership degree of the secondary indicators is Indicates The weight of the evaluation set; The contribution of each first-level indicator is the weighted sum of the contributions of all the second-level indicators under it: ;in, Indicates the first level indicator Secondary indicators, for First level indicator The weight of the secondary indicator.

[0011] In a preferred embodiment of the present invention, in step S4, the weight of the cause of the accident is quantified, and the Pearson correlation coefficient is used to measure the correlation between the cause of the accident and the secondary index: , Represents the cause of the accident, Represents the corresponding contribution to the secondary index, among which, is the observed value of the cause of the accident and the observed value of the corresponding secondary indicator contribution, for The average value of The weight of the cause of the accident for the relevant secondary indicators.

[0012] In a preferred embodiment of the present invention, in step S5, the occurrence frequency of each accident cause in the historical data is counted. , combine the weights of the occurrence frequency and the cause of the accident for the relevant secondary indicators, and calculate the contribution correction factor for the secondary indicators , modify the contribution of the secondary indicators ; Indicates The contribution of the second-level indicators and the modified contribution of the first-level indicators are: .

[0013] In a preferred embodiment of the present invention, in step S6, the comprehensive evaluation value of communication engineering security management is calculated as follows: .

[0014] In a preferred embodiment of the present invention, in step S4, constructing a communication engineering safety management knowledge graph requires extracting data from historical safety accident cases including: basic accident information, accident causes and accident consequences.

[0015] In a preferred embodiment of the present invention, in step S3, one or more hybrid methods of hierarchical analysis method, entropy weight method, principal component analysis method are used to assign weights to the primary indicators and secondary indicators in combination with expert opinions and actual conditions.

[0016] The present invention solves the defects existing in the background technology and has the following beneficial effects: (1) This invention combines questionnaire surveys with on-site automated monitoring to collect data, and comprehensively uses subjective feedback and objective real-time data to improve the comprehensiveness and accuracy of communication engineering safety management evaluation. By constructing a fuzzy evaluation matrix and determining the weight vector of the evaluation factors, a quantitative evaluation of the safety management status is achieved, which enhances the scientificity and objectivity of the evaluation. By using historical safety accident cases to construct a knowledge graph, identify key influencing factors and determine correction factors, the pertinence and practicality of the evaluation results are further improved.

[0017] (2) The present invention uses historical safety accident cases and establishes a communication engineering safety management knowledge graph through knowledge graph technology, realizing the visualization and relationship mining of accident cases. This step not only makes full use of valuable historical experience resources, but also identifies the key factors affecting safety management by quantifying the correlation between accident causes and secondary indicators, significantly improving the pertinence and practicality of the assessment, and helping to accurately identify potential risks and formulate corresponding preventive measures.

[0018] (3) Based on the key influencing factors obtained from the knowledge graph analysis, the present invention designs correction factors and corrects the contribution degree, fully considering the enhancement or weakening effect of the key factors, making the evaluation results more in line with the actual situation. The communication engineering security assessment is carried out through the corrected contribution degree, which further improves the accuracy and reliability of the assessment.

[0019] (4) The present invention clarifies all evaluation factors that affect the safety management of communication projects by constructing a fuzzy evaluation matrix, and quantifies the relationship between these factors. By subdividing the evaluation factors and combining the questionnaire data and monitoring data, a fuzzy evaluation matrix is ​​formed. Combined with weight calculation, the contribution of the primary and secondary indicators is obtained. By sorting according to the contribution, the factors with the greatest impact on the safety management of communication projects can be obtained, further improving the reliability of the evaluation results.

[0020] (5) The present invention directly analyzes the specific questionnaire survey and automated monitoring data collection process by combining the questionnaire survey in step S1 with the on-site automated monitoring data collection. The questionnaire survey provides subjective feedback and qualitative information on the safety management of communication engineering, covering multiple aspects such as safety system, technology, equipment and facilities, and on-site management; automated monitoring provides objective and real-time equipment operation, environmental parameters and personnel activity data. The combination of the two ensures the comprehensiveness of the evaluation and ensures the depth and accuracy of the evaluation. Compared with the prior art, this method further achieves the effect of improving the accuracy of the evaluation. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art are briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative work. Figure 1 is a flow chart of a preferred embodiment of the present invention; Figure 2 is an impact index diagram of a preferred embodiment of the present invention; Figure 3 It is a historical safety accident case extraction diagram of a preferred embodiment of the present invention. DETAILED DESCRIPTION

[0022] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0023] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein. Therefore, the protection scope of the present invention is not limited to the specific embodiments disclosed below.

[0024] like Figure 1 As shown, a communication engineering security management assessment method includes the following steps: S1. Design a communication engineering safety management questionnaire, collect real-time data through the on-site automated monitoring system, and clean the collected questionnaire data and real-time data; S2. Based on the questionnaire data and monitoring data, clarify all evaluation factors that affect the safety management of communication engineering and construct a fuzzy evaluation matrix; S3. Determine the weight vector of the evaluation factors and calculate the contribution of each evaluation factor to the safety management status through the fuzzy comprehensive evaluation method; S4. Use historical safety accident cases to establish a knowledge map of communication engineering safety management and identify key factors affecting safety management; S5. Determine the correction factor using the key influencing factors, and use the correction factor to correct the contribution of each evaluation factor to the safety management status; S6. Use the contribution of the revised evaluation factors to conduct communication engineering security assessment.

[0025] Specifically, in step S1, the communication engineering safety management data collected by the questionnaire includes: safety system management, safety technology management, equipment and facility management, and on-site safety management; automated monitoring collects equipment operation data, environmental parameters, and personnel activity data; Specifically, in step S1, the questionnaire data and monitoring data are Standardization: ,in, is the standardized value, is the original data, is the average value, is the standard deviation; The questionnaire data provides subjective feedback and qualitative information on the safety management of communication projects, covering multiple aspects such as safety systems, technologies, equipment and facilities, and on-site management; the monitoring data provides objective and real-time data on equipment operation, environmental parameters, and personnel activities, which are difficult to obtain through questionnaire surveys; the combination of the two provides both comprehensive subjective feedback and in-depth objective data, which improves the accuracy of the evaluation.

[0026] Specifically, in step S2, the evaluation factors determined by combining the questionnaire data and the monitoring data include: The evaluation factors of safety system management include: production safety responsibility system and implementation, production safety fund guarantee system and implementation, safety education system and implementation, safety inspection and hidden danger investigation system and implementation, production safety emergency rescue system and implementation; The evaluation factors of safety technology management include: operating procedures and processes, construction organization design, special construction plans and measures, safety technology disclosure, and hazard source control; Evaluation factors for equipment and facility management include: equipment safety management, facilities and protective equipment, safety signs, and safety inspection and testing tools; Evaluation factors for site safety management include: site environment safety, qualification and personnel management, and insurance; like Figure 2 As shown in the figure, constructing a fuzzy evaluation matrix is ​​a method in fuzzy logic to express and deal with uncertainty and fuzziness. In the communication engineering safety management evaluation, the fuzzy evaluation matrix can help quantify the relationship between evaluation factors, so as to more accurately evaluate the safety management status. The following are the specific steps and calculation formulas for constructing a fuzzy evaluation matrix: The first-level indicator is The corresponding first-level indicators are: safety system management, safety technology management, equipment and facility management, and on-site safety management; the first-level indicators are subdivided into: The secondary indicators are: Evaluation factors set for safety system management The corresponding secondary indicators are: production safety responsibility system and implementation, production safety fund guarantee system and implementation, safety education system and implementation, safety inspection and hidden danger investigation system and implementation, production safety emergency rescue system and implementation; Evaluation Factor Set of Safety Technology Management The corresponding secondary indicators are: operating procedures and processes, construction organization design, special construction plans and measures, safety technology disclosure, and hazard source control; Evaluation factor set for equipment and facility management , the corresponding secondary indicators are: equipment safety management, facilities and protective equipment, safety signs, and safety inspection and testing tools; Evaluation factor set for on-site safety management ,The corresponding secondary indicators are: on-site environmental safety, qualification and personnel management, and insurance; Evaluation Set The evaluation is as follows: excellent, good, qualified, unqualified; For each first-level indicator, a fuzzy evaluation matrix is ​​constructed, where the rows represent the second-level indicators and the columns represent the evaluation sets; ,in, Indicates First level indicator The secondary indicators were evaluated as The membership degree of the evaluation set; , for each row in the matrix, i.e. each secondary indicator, the sum of its membership degree should be 1, i.e. ,in, is the number of levels in the evaluation set.

[0027] Specifically, in step S2, the safety system management fuzzy evaluation matrix is: , safety technology management fuzzy evaluation matrix: , equipment and facility management fuzzy evaluation matrix: , fuzzy evaluation matrix of on-site safety management: .

[0028] Specifically, in step S3, one or more hybrid methods of the analytic hierarchy process, the entropy weight method, and the principal component analysis method are used to assign weights to each evaluation factor in combination with expert opinions and actual conditions; Preferably, the weights are assigned using the analytic hierarchy process: Taking communication engineering security management as the target layer , with the first-level indicator as the criterion layer , and the secondary indicators are the solution level ; Construct the criterion layer judgment matrix , Indicates Compared with the first-level indicators, The importance of the first-level indicators is calculated by using the square root method to obtain the vector of the four first-level indicators of the criterion layer.

[0029] Vector Normalized to a weight vector, we get the weight: ; The weight vector of the first-level indicator is: ; The corresponding maximum eigenvector ; Calculate consistency index , consistency ratio ; when , then the judgment matrix The consistency is acceptable; Assign corresponding weights to the secondary indicators, and the solution level ,in ; Criteria Layer For the target layer The total ranking is ,in ; Solution layer The secondary indicator level Intermediate level indicators The hierarchical order of is: ; Solution layer The total hierarchical order is: ; Solution Layer No. Secondary indicators to target layer The weight is ; The weight vector of the secondary index is: ; Calculate consistency index ;when , then it can be considered as the solution layer The consistency of the total hierarchical ordering is acceptable; Specifically, in step S3, the contribution of each secondary indicator to the communication engineering security management is calculated using the fuzzy relationship matrix and weight vector: ; Indicates The contribution of the secondary indicators, Indicates The evaluation set is for The membership degree of the secondary indicators is Indicates The weight of the evaluation set; The contribution of each first-level indicator is the weighted sum of the contributions of all the second-level indicators under it: ;in, Indicates the first level indicator Secondary indicators, for First level indicator The weight of the secondary indicator.

[0030] According to the contribution calculated above, the influencing factors of the primary and secondary indicators are ranked according to the contribution size, and the relative importance of each evaluation factor including the primary and secondary indicators in the safety management of communication projects is clarified; specifically, for the primary indicators, the ranking results can tell us which of the four aspects of safety system management, safety technology management, equipment and facility management, and on-site safety management is the most important link in the current safety management of communication projects. For the secondary indicators, the ranking results are more detailed, which can point out which specific evaluation factors are the key factors affecting the safety management status under each primary indicator.

[0031] like Figure 3 As shown, specifically, in step S4, constructing the communication engineering safety management knowledge graph requires extracting the following data from historical safety accident cases: Basic information of the accident: time, location, accident communication equipment; Causes of accidents include: equipment failure, human error, natural disasters; The consequences of the accident include: service interruption time, economic losses; Use natural language processing technology to identify entities in accident cases, including: equipment name, cause of accident, and consequences of accident.

[0032] Extract the relationships between entities, such as "Device D leads to consequence F due to cause E"; represent the entities and relationships in the form of a graph, where nodes represent entities and edges represent relationships; Historical accident case collection , each historical accident case Contains a set of entities and a set of relations ; The knowledge graph can be represented as ,in is a node set, is the edge set; Secondary indicators related to equipment failure: equipment safety management and safety inspection and testing tools; Secondary indicators related to human errors: safety education system and implementation, safety technology disclosure, operating procedures and processes, qualifications and personnel management; Secondary indicators related to natural disasters: on-site environmental safety, production safety emergency rescue system and implementation; In order to quantify the weight of the accident cause, the Pearson correlation coefficient is used to measure the correlation between the accident cause and the secondary indicators: , Represents the cause of the accident, Represents the corresponding contribution to the secondary index, among which, is the observed value of the cause of the accident and the observed value of the corresponding secondary indicator contribution, for The average value of Will As the weight of the accident cause for the relevant secondary indicators, the higher the absolute value, the stronger the correlation.

[0033] In step S5, the occurrence frequency of each accident cause in the historical data is counted , combine the weights of the occurrence frequency and the cause of the accident for the relevant secondary indicators, and calculate the contribution correction factor for the secondary indicators , modify the contribution of the secondary indicators , Indicates The contribution of the second-level indicators; the contribution of the revised first-level indicators: .

[0034] Specifically, in step S6, the comprehensive evaluation value of communication engineering security management is calculated as follows: .

[0035] The above is based on the ideal embodiment of the present invention. Through the above description, relevant personnel can make various changes and modifications without departing from the technical concept of the present invention. The technical scope of the present invention is not limited to the content in the specification, but must be determined according to the scope of the claims.

Claims

1. A communication engineering security management assessment method, It is characterized in that Includes steps: S1. Design a communication engineering safety management questionnaire, collect real-time data through the on-site automated monitoring system, and clean the collected questionnaire data and real-time data; S2. Based on the questionnaire data and monitoring data, clarify all evaluation factors that affect the safety management of communication engineering and construct a fuzzy evaluation matrix; S3. Determine the weight vector of the evaluation factors and calculate the contribution of each evaluation factor to the safety management status through the fuzzy comprehensive evaluation method; S4. Use historical safety accident cases to establish a knowledge map of communication engineering safety management and identify key factors affecting safety management; S5. Determine the correction factor using the key influencing factors, and use the correction factor to correct the contribution of each evaluation factor to the safety management status; S6. Use the contribution of the revised evaluation factors to conduct communication engineering security assessment.

2. A communication engineering security management and evaluation method according to claim 1, Features: In step S1, the communication engineering safety management data collected using the questionnaire includes: safety system management, safety technology management, equipment and facility management, on-site safety management; automated monitoring collects equipment operation data, environmental parameters, and personnel activity data.

3. A communication engineering security management and evaluation method according to claim 1, Features: In step S2, the first-level index is , the corresponding first-level indicators are: safety system management, safety technology management, equipment and facility management, and on-site safety management; The secondary indicators are: Evaluation factors set for safety system management The corresponding secondary indicators are: production safety responsibility system and implementation, production safety fund guarantee system and implementation, safety education system and implementation, safety inspection and hidden danger investigation system and implementation, production safety emergency rescue system and implementation; Evaluation Factor Set of Safety Technology Management The corresponding secondary indicators are: operating procedures and processes, construction organization design, special construction plans and measures, safety technology disclosure, and hazard source control; Evaluation factor set for equipment and facility management , the corresponding secondary indicators are: equipment safety management, facilities and protective equipment, safety signs, and safety inspection and testing tools; Evaluation factor set for on-site safety management ,The corresponding secondary indicators are: on-site environmental safety, qualification and personnel management, and insurance; Evaluation Set The evaluation is as follows: excellent, good, qualified, unqualified; For each first-level indicator, a fuzzy evaluation matrix is ​​constructed, where the rows represent the second-level indicators and the columns represent the evaluation sets; ,in, Indicates First level indicator The secondary indicators were evaluated as The membership degree of the evaluation set; , for each row in the matrix, i.e. each secondary indicator, the sum of its membership degree should be 1, i.e. ,in, is the number of levels in the evaluation set.

4. A communication engineering security management and evaluation method according to claim 3, Features: In step S3, the contribution of each secondary indicator to the communication engineering security management is calculated using the fuzzy relationship matrix and weight vector: ; Indicates The contribution of the secondary indicators, Indicates The evaluation set is for The membership degree of the secondary indicators is Indicates The weight of the evaluation set; The contribution of each first-level indicator is the weighted sum of the contributions of all the second-level indicators under it: ;in, Indicates the first level indicator Secondary indicators, for First level indicator The weight of the secondary indicator.

5. A communication engineering security management and evaluation method according to claim 1, Features: In step S4, the weight of the accident cause is quantified, and the Pearson correlation coefficient is used to measure the correlation between the accident cause and the secondary indicator: , Represents the cause of the accident, Represents the corresponding contribution to the secondary index, among which, is the observed value of the cause of the accident and the observed value of the corresponding secondary indicator contribution, for The average value of The weight of the cause of the accident for the relevant secondary indicators.

6. A communication engineering security management and evaluation method according to claim 5, Features: In step S5, the occurrence frequency of each accident cause in the historical data is counted , combine the weights of the occurrence frequency and the cause of the accident for the relevant secondary indicators, and calculate the contribution correction factor for the secondary indicators , modify the contribution of the secondary indicators , Indicates The contribution of the second-level indicators; The contribution of the revised primary indicators: .

7. A communication engineering security management and evaluation method according to claim 6, Features: In step S6, the comprehensive evaluation value of communication engineering security management is calculated as: .

8. A communication engineering security management and evaluation method according to claim 1, Features: In step S4, constructing the communication engineering safety management knowledge graph requires extracting data from historical safety accident cases, including: basic accident information, accident causes and accident consequences.

9. A communication engineering security management and evaluation method according to claim 3, Features: In step S3, one or more hybrid methods of hierarchical analysis method, entropy weight method and principal component analysis method are used to assign weights to the primary indicators and secondary indicators in combination with expert opinions and actual conditions.

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