Electrical safety and operability analysis method and system

Abstract

The invention provides an electrical safety and operability analysis method and system, and the method comprises the steps: building a database through the data of deviation contents, deviation reasons, deviation consequences, design safety measure contents and operation stage protection measures; and the characteristic data extracted from the to-be-tested scheme is compared with the data in the database, so that the electrical safety and operability analysis method is realized, and the function of automatically providing analysis data is realized. The method has the beneficial effects that on one hand, analysis is carried out from safety and integrity design, on the other hand, analysis is carried out from task and operation safety, and the method is a method for discovering and solving problems through comprehensive analysis. The risk of the electrical system can be effectively identified through analysis, and weak links influencing the safe operation of the electrical system are found out, so that the safety, reliability, availability and maintainability of the facility electrical system are improved. The system tool in the scheme can obviously reduce the workload of electrical safety and operability analysis.

Description

Technical Field

[0001] The present invention relates to the technical field of safety analysis of electrical systems in the petroleum industry, and more specifically to an electrical safety and operability analysis method and system. Background Art

[0002] The normal operation of the electrical system is an important guarantee for the safe production and reliable operation of production facilities. The petroleum industry produces or stores flammable and explosive substances, which are prone to fire and explosion once leaked, and has higher requirements for the safety and reliability of the electrical system. Therefore, during the design phase of the facility, the integrity and safety of the electrical design should be ensured, and the electrical operability should be fully considered to minimize the risks of possible misoperation during the operation and maintenance phases to ensure the safety of electricity use.

[0003] At present, domestic facilities generally carry out short-circuit current research and relay protection research during the design phase. Petrochemical enterprises may carry out motor restart research, but no comprehensive and special research on electrical safety, operability and maintainability is carried out. As a result, insufficient identification of risks and problems in the electrical safety and maintenance of facilities has been made, affecting the operation and maintenance of the facilities after they are put into use.

[0004] At present, there is no database on electrical safety and operability analysis in China, let alone any tools for electrical safety and operability analysis. Research on electrical safety and operability analysis is almost blank. Summary of the invention

[0005] The present invention overcomes the deficiencies in the prior art and provides an electrical safety and operability analysis method and system.

[0006] The purpose of the present invention is achieved through the following technical solutions.

[0007] An electrical safety and operability analysis method, the specific steps include:

[0008] S1. Establish a database, input relevant standards and accident case data of electrical equipment, set the equipment that causes major accidents of electrical equipment as the hazard source, classify each hazard source to form a guide word library, and set the corresponding deviation content, deviation cause, deviation consequence, design safety measures content and protection measures in the operation stage for each guide word;

[0009] S2. Extract features from the equipment data and accident case data in the database, obtain feature data in the equipment data and feature data of deviations in the accident cases, use the feature data in the equipment data and feature data of deviations in the accident cases as analysis feature data in the database, and establish a one-to-one correspondence between the deviation cause, deviation consequence, design safety measures, and protection measures in the operation phase and the feature data obtained by analysis based on the feature data of the equipment data and the feature data of deviations in the accident cases;

[0010] S3, divide the scheme to be tested into nodes, extract the characteristic data of the equipment of the scheme to be tested according to the equipment type and data in the selected node, construct the deviation library of the scheme to be tested according to the guide words in the guide word library and the deviation parameters of the scheme to be tested, extract the characteristics of the deviations in the constructed deviation library, obtain the deviation characteristic data of the scheme to be tested, match the characteristic data and deviation characteristic data of the equipment of the scheme to be tested with the characteristic data of the equipment data formed in the database in S2 and the deviation characteristic data of the accident case, calculate the weight of the relevant characteristic data, and calculate the matching degree of the characteristic data by combining the weight and the matching degree formula;

[0011] S4. According to the relevant weight parameters obtained by calculation, the calculated matching degree is matched with the corresponding deviation causes, deviation consequences, design safety measures, and operation phase protection measures in the database, and the data closest to the matching degree value is selected as the output recommended measures result.

[0012] The specific steps of S1 include:

[0013] S11. Set electrical systems with high risk levels as analysis nodes according to the equipment classification standards;

[0014] S12. Classify the entries that may cause major accidents in electrical equipment as hazard sources to form a guiding word library;

[0015] S13. According to the guide word library in the guide word library S12, the data of the causes and consequences of deviations, design safety measures and protection measures in the operation stage corresponding to each hazard source are set to form a database containing the data entry information of the guide word library, causes and consequences of deviations, design safety measures and protection measures in the operation stage.

[0016] The calculation formula for the correlation weight between the deviation and the analysis feature data in S5 is:

[0017]

[0018] In the formula, α i is the correlation weight between the characteristic data of the tested solution and the i-th analysis characteristic data in the database; N is the total number of characteristic data corresponding to the deviation in the database, N iis the total number of feature data in the database containing the i-th feature data. The specific calculation formula for feature matching in S6 is:

[0019]

[0020] Where P j is the matching degree between the input analysis data and the jth data in the database, N j is the total number of analysis feature data corresponding to the jth data, N 0 is the total number of features of the input analysis data, N 同 is the total number of related features in the feature data of the input analysis data and the analysis feature data corresponding to the jth data, α' l The relevant weight calculated for each relevant feature data, max() is the maximum value function.

[0021] The specific combination method of the guide vocabulary and the parameters is to combine them into deviation data by superimposing terms.

[0022] An electrical safety and operability analysis system, comprising:

[0023] Database management and update module, used to store data information in the database and update data;

[0024] The analysis module is used to take the device data and deviation data to be analyzed as input, extract the data in the database management and update module, and obtain the output result by matching the feature data;

[0025] The measure generation module is used to match the measures in the database through feature weight logic to generate the final recommended measure results.

[0026] The beneficial effects of the present invention are as follows: the present solution analyzes from the perspective of safety and integrity design on the one hand, and from the perspective of task and operational safety on the other hand, and is a method of discovering and solving problems through comprehensive analysis. Through analysis, electrical system risks can be effectively identified, and weak links that affect the safe operation of the electrical system can be found, thereby improving the safety, reliability, availability and maintainability of the facility electrical system.

[0027] Furthermore, the system tools in this solution can significantly reduce the workload of electrical safety and operability analysis, avoid the influence of human factors on the analysis results, and improve the accuracy of the analysis results. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] Figure 1 It is a schematic diagram of the process of the present invention. DETAILED DESCRIPTION

[0029] Example

[0030] like Figure 1 As shown, this embodiment preprocesses the scheme to be tested, draws a single-line diagram of the power supply system, divides the nodes, selects a gas-insulated metal-enclosed switchgear as a node as an example, extracts the characteristic data and deviation characteristic data of the equipment in the scheme to be tested, and performs characteristic matching with the data in the database.

[0031] In this embodiment, the characteristic data of the gas-insulated metal-enclosed switchgear are extracted, including the deviation value between the processing size of the sealing surface and the design data, the deviation value between the roughness of the sealing surface and the design data, the service life of the density relay, etc. The characteristic data of the deviation in the embodiment are extracted, including the periodic inspection period of the density meter, the periodic airtightness inspection time, the annual leakage rate of sulfur hexafluoride SF6, etc. There are 18 characteristic data of the gas-insulated metal-enclosed switchgear in total.

[0032] The data in the deviation library of the case to be tested is feature matched with the database, and the matching degree between the feature data of the gas-insulated metal-enclosed switchgear and each piece of data in the database is calculated.

[0033] Select the data with the highest matching degree for example: According to the matching degree calculation formula, the matching degree of the characteristic data input by the gas-insulated metal-enclosed switchgear and the 38th data of the gas-insulated metal-enclosed switchgear in the database is calculated. The 38th data N j The total number of corresponding analysis feature data is 23, and the total number of input features is N 0 is 18, the total number of relevant features N is also 11, and the weight of each relevant feature data is α' l As shown in the following table. Calculate the matching degree P based on the data in this table j , the calculated value is 1.06.

[0034] Serial number 1 2 3 4 5 6 7 8 9 10 11 Weight 0.174 0.269 0.08 0.343 0.121 0.3 0.441 0.1 0.22 0.121 0.05

[0035] From the feature matching results, the information corresponding to the 38th data is obtained, including detailed deviations (gas leakage), causes (installation errors, design defects, poor production quality, insufficient equipment care and maintenance, and poor sealing surface treatment), consequences (reduction in the amount of SF6 gas, affecting the arc extinguishing and insulation performance of electrical equipment; gas causing casualties), safety measures in the design phase (GIS and sulfur hexafluoride (SF6) switchgear rooms arranged indoors should be equipped with corresponding SF6 leakage detection alarms, accident exhaust and oxygen content detection systems), and protection measures in the operation phase (1. When a failure occurs in the indoor combined electrical appliance and gas escapes, all personnel should evacuate the scene immediately. 1. All ventilation equipment should be put into operation immediately. Only when the combined electrical room is thoroughly ventilated or the indoor oxygen content is tested to be normal [not less than 18%], and the SF6 gas decomposition products are completely eliminated, can you enter the room. Wear a gas mask or positive pressure respirator and protective clothing when necessary; 2. When the outdoor combined electrical room fails and gas escapes, all personnel should evacuate to the upwind outlet quickly and are strictly prohibited from staying; 3. Within 15 minutes after the accident, only rescue personnel are allowed to enter the room. Within 4 hours after the accident, anyone entering the room must wear protective clothing, gloves, and a gas mask with an oxygen respirator; 4. If someone is attacked by the escaping gas, he should be sent to the hospital for diagnosis and treatment immediately). Use the information corresponding to the 38th data as the output to complete the node analysis.

[0036] Furthermore, the parameters and guide words in Figure 1 are combined by superimposing terms. For example, the guide word content is too high or too low, and the parameter content is current or voltage; the deviation data after the combination is the terms such as current too high or voltage too low, which are used to match the deviation cause, deviation consequence, design safety measures, and protection measures data in the operation stage one by one.

[0037] In this solution, an electrical safety and operability analysis system stores data information in a database and updates the data through a database management and update module. The analysis module is used to complete the calculation and analysis process of the above method, and the device data and deviation data to be analyzed are used as inputs to extract the data in the database management and update module, and the output results are obtained by matching the feature data. The measure generation module is used to match the measures in the database through feature weight logic to generate the final recommended measure results.

[0038] The embodiments of the present invention are described in detail above, but the contents described are only preferred embodiments of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. An electrical safety and operability analysis method, characterized in that: The specific steps include: S1. Establish a database, input relevant standards and accident case data of electrical equipment, set the equipment that causes major accidents of electrical equipment as the hazard source, classify each hazard source to form a guide word library, and set the corresponding deviation content, deviation cause, deviation consequence, design safety measures content and protection measures in the operation stage for each guide word; S2. Extract features from the equipment data and accident case data in the database, obtain feature data in the equipment data and feature data of deviations in the accident cases, use the feature data in the equipment data and feature data of deviations in the accident cases as analysis feature data in the database, and establish a one-to-one correspondence between the deviation cause, deviation consequence, design safety measures, and protection measures in the operation phase and the feature data obtained by analysis based on the feature data of the equipment data and the feature data of deviations in the accident cases; S3, divide the scheme to be tested into nodes, extract the characteristic data of the equipment of the scheme to be tested according to the equipment type and data in the selected node, construct the deviation library of the scheme to be tested according to the guide words in the guide word library and the deviation parameters of the scheme to be tested, extract the characteristics of the deviations in the constructed deviation library, obtain the deviation characteristic data of the scheme to be tested, match the characteristic data and deviation characteristic data of the equipment of the scheme to be tested with the characteristic data of the equipment data formed in the database in S2 and the deviation characteristic data of the accident case, calculate the weight of the relevant characteristic data, and calculate the matching degree of the characteristic data by combining the weight and the matching degree formula; S4. According to the relevant weight parameters obtained by calculation, the calculated matching degree is matched with the corresponding deviation causes, deviation consequences, design safety measures, and operation phase protection measures in the database, and the data closest to the matching degree value is selected as the output recommended measures result.

2. The electrical safety and operability analysis method according to claim 1, characterized in that: The specific steps of S1 include: S11. Set electrical systems with high risk levels as analysis nodes according to the equipment classification standards; S12. Classify the entries that may cause major accidents in electrical equipment as hazard sources to form a guiding word library; S13. According to the guide word library in the guide word library S12, the data of the causes and consequences of deviations, design safety measures and protection measures in the operation stage corresponding to each hazard source are set to form a database containing the data entry information of the guide word library, causes and consequences of deviations, design safety measures and protection measures in the operation stage.

3. The electrical safety and operability analysis method according to claim 1, characterized in that: The calculation formula for the correlation weight between the deviation and the analysis feature data in S5 is: In the formula, α i is the correlation weight between the characteristic data of the tested solution and the i-th analysis characteristic data in the database; N 总 is the total number of feature data corresponding to the deviation in the database, N i is the total number of feature data in the database that contains the i-th feature data.

4. The electrical safety and operability analysis method according to claim 1, characterized in that: The specific calculation formula for feature matching in S6 is: Where P j is the matching degree between the input analysis data and the jth data in the database, N j is the total number of analysis feature data corresponding to the jth data, N0 is the total number of features of the input analysis data, N 同 is the total number of related features in the feature data of the input analysis data and the analysis feature data corresponding to the jth data, α' l The relevant weight calculated for each relevant feature data, max() is the maximum value function.

5. The electrical safety and operability analysis method according to claim 1, characterized in that: The specific combination method of the guide vocabulary and the parameters is to combine them into deviation data by superimposing terms.

6. An electrical safety and operability analysis system, characterized in that: include: Database management and update module, used to store data information in the database and update data; The analysis module is used to take the device data and deviation data to be analyzed as input, extract the data in the database management and update module, and obtain the output result by matching the feature data; The measure generation module is used to match the measures in the database through feature weight logic to generate the final recommended measure results.

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