Reliability evaluation method and system for pressure-bearing equipment

Abstract

The invention is applied to the technical field of pressure-bearing equipment evaluation, and particularly discloses a pressure-bearing equipment-oriented reliability evaluation method and system, and the evaluation method comprises the following steps: step 1, data acquisition and processing, step 2, evaluation index calculation, step 3, evaluation model generation, and step 4, reliability index output. And 5, a result analysis and decision-making step. According to the pressure-bearing equipment-oriented reliability evaluation method and system, evaluation parameters in multiple aspects of a safety index, an operability index, a durability index and an economic index are used as variables to construct a primary evaluation model and a secondary evaluation model; the pressure-bearing equipment with safety and durability lower than threshold values can be rapidly screened out through the first-level evaluation model, unreliable results are output, data with safety and durability reaching the standard are input into the second-level evaluation model, a reliability index S is output, and the reliability of the pressure-bearing equipment is objectively evaluated according to the numerical value of the reliability index S.

Description

Technical Field

[0001] The present invention relates to the technical field of pressure-bearing equipment evaluation, and particularly to a reliability evaluation method and system for pressure-bearing equipment. Background Art

[0002] Pressure-bearing equipment refers to a closed equipment that works under a certain pressure and is used to store, transport or process fluid media. Pressure-bearing equipment is widely used in fields such as petroleum, chemical industry, electric power, metallurgy, nuclear power, etc. During the operation of pressure-bearing equipment, it is subjected to working environments such as high temperature, high pressure, medium corrosion, and mechanical stress. The failure of pressure-bearing equipment may trigger serious accidents such as leakage and explosion, causing huge economic losses and environmental pollution and casualties at the same time. Therefore, it is necessary to regularly evaluate the reliability of pressure-bearing equipment to ensure its good operation.

[0003] At present, the reliability evaluation of pressure-bearing equipment usually relies on the subjective judgment of engineers, lacking objective and unified evaluation standards and methods. Therefore, the evaluation results of different personnel often vary greatly, affecting the accuracy and credibility of the evaluation results. The reliability of pressure-bearing equipment is jointly affected by multiple factors, and some existing evaluation methods only focus on the surface condition of the equipment and conventional operation data such as pressure and temperature, while ignoring potential defects inside the equipment, such as corrosion and fatigue of pressure-bearing equipment materials. Therefore, it is impossible to comprehensively and accurately reflect the true reliability state of the equipment, thereby affecting the evaluation of the reliability of pressure-bearing equipment. Summary of the Invention

[0004] The purpose of the present invention is to provide a reliability evaluation method and system for pressure-bearing equipment to solve the problem that the current reliability evaluation of pressure-bearing equipment lacks an objective and unified evaluation method, affecting the evaluation accuracy as mentioned in the above background art.

[0005] To achieve the above purpose, the present invention provides the following technical solutions: A reliability evaluation method and system for pressure-bearing equipment, the evaluation method includes the following steps:

[0006] Step 1: Data acquisition and processing step, using data acquisition sensors to collect data of the pressure-bearing equipment to be evaluated, and preprocessing the collected data;

[0007] Step 2: Evaluation index calculation step, inputting the processed data into the calculation models of each evaluation index and outputting the calculation results, and assigning weights to each index;

[0008] Step 3: Evaluation model generation step, constructing a secondary evaluation model with the evaluation index as a variable, the primary evaluation model judges whether the equipment is reliable, and the secondary evaluation model further evaluates the reliable equipment;

[0009] Step 4: Reliability index output step. Input the calculated evaluation index results into the evaluation model to generate the reliability evaluation results of the pressure-bearing equipment;

[0010] Step 5: Result analysis and decision-making step. Evaluate and analyze the reliability of the pressure-bearing equipment according to the output results;

[0011] Preferably, in the data collection and processing process of Step 1, it includes a data collection part and a data preprocessing part. The data collection part includes the body data of the pressure-bearing equipment, the operation data of the pressure-bearing equipment, and the investment data of the pressure-bearing equipment. The data processing part preprocesses the collected equipment data, including deleting duplicate data, deleting missing or abnormal data; performing standardized conversion on the original data to convert the data into a format and range suitable for analysis.

[0012] Adopting the above technical solution, data collection and processing can be used to collect the original data of the pressure-bearing equipment to be evaluated and preprocess the original data, facilitating the subsequent data analysis process.

[0013] Preferably, in the evaluation index calculation process of Step 2, it includes a safety index, an operability index, a durability index, and an economic index. The specific calculation process of the evaluation result X of the evaluation index is as follows: Generate corresponding quantitative evaluation levels x for different evaluation indexes of the pressure-bearing equipment, generate the levels of different index parameters for the pressure-bearing equipment, and assign the level results of multiple index parameters to the corresponding weights ω, and calculate using the following formula;

[0014] X = ω 1 x 1 + ω 2 x 2 +… + ω n x n

[0015] where ω is the weight under different indexes;

[0016] Use the above formula to calculate the results of the safety index, operability index, durability index, and economic index respectively. The safety index includes the strength, seal degree, and fatigue degree of the material of the pressure-bearing equipment. The evaluation result of the safety index is marked as A, and the threshold A min is set for the safety index evaluation A. The strength of the pressure-bearing equipment is marked as a 1 , the seal degree of the pressure-bearing equipment is marked as a 2 , and the fatigue degree of the material of the pressure-bearing equipment is marked as a 3 . The calculation formula for the evaluation result of the safety index is as follows:

[0017] A = ω1 a 1 + ω 2 a 2 = ω 3 a 3

[0018] where ω is the weight of each parameter under the safety index;

[0019] The evaluation result of the operability index is marked as B. The operability index includes the operation difficulty, maintenance difficulty, and working condition adaptability of the pressure-bearing equipment. The operation difficulty of the pressure-bearing equipment is marked as b 1 , and the maintenance difficulty of the pressure-bearing equipment is marked as b 2 , and the working condition adaptability of the pressure-bearing equipment is marked as b 3 , and the calculation formula for the evaluation result of the operability index is as follows:

[0020] B = ω 1 b 1 + ω 2 b 2 = ω 3 b 3

[0021] where ω is the weight of each parameter under the operability index;

[0022] The evaluation result of the durability index is marked as C. The durability index C sets a threshold C min , and the durability index evaluation includes the aging degree, service life, and corrosion rate of the pressure-bearing equipment. The aging degree of the pressure-bearing equipment is marked as c 1 , and the service life of the pressure-bearing equipment is marked as c 2 , and the corrosion rate of the pressure-bearing equipment is marked as c 3 , and the calculation formula for the evaluation result of the durability index is as follows:

[0023] C = ω 1 c 1 + ω 2 C 2 = ω 3 c 3

[0024] where ω is the weight of each parameter under the durability index;

[0025] The evaluation result of the economic index is marked as D. The economic index includes the investment cost, operation cost, and maintenance cost of the pressure-bearing equipment. The investment cost of the pressure-bearing equipment is marked as d 1 , and the operation cost of the pressure-bearing equipment is marked as d 2 , and the maintenance cost of the pressure-bearing equipment is marked as d 3, the calculation formula for the evaluation result of the economic index is as follows:

[0026] D = ω 1 d 1 + ω 2 d 2 = ω 3 d 3

[0027] where ω is the weight of each parameter under the economic index.

[0028] Adopting the above technical solution, the reliability of pressure-bearing equipment can be accurately evaluated by using the multi-index evaluation result.

[0029] Preferably, in the generation of the evaluation model in step three and the output of the reliability index in step four, the evaluation model includes a primary evaluation model and a secondary evaluation model. The primary evaluation model is used to conduct a primary evaluation of the reliability of pressure-bearing equipment. The primary evaluation model receives evaluation indicators and makes two conditional judgments. The first judgment is based on the evaluation result A of the safety index, and there are the following situations:

[0030] A < A min , immediately output the result that the pressure-bearing equipment is unreliable;

[0031] A ≥ A min , conduct a secondary judgment;

[0032] The secondary judgment is based on the evaluation result C of the durability index, and there are the following situations:

[0033] C < C min , immediately output the result that the pressure-bearing equipment is unreliable;

[0034] C ≥ C min , input the evaluation result X of the evaluation indicator into the secondary evaluation model for re-evaluation;

[0035] Adopting the above technical solution, the reliability of pressure-bearing equipment can be preliminarily and quickly evaluated by using the primary evaluation model, and the unreliable pressure-bearing equipment can be screened out.

[0036] Preferably, the secondary evaluation model receives the evaluation indicators screened by the primary evaluation model and calculates and generates the reliability index S of the pressure-bearing equipment. The calculation formula is as follows;

[0037] S = W 1 A + W 2 B + W 3 C + W 4 D

[0038] where W i is the parameter weight;

[0039] The evaluation model is trained using the results generated after using the pressure-bearing equipment data input evaluation model. By comparing the actual data with the model prediction results, the established evaluation model is verified and optimized. The value of W in the model is corrected using machine learning algorithms to improve the accuracy and reliability of the evaluation model. i The reliability index S can be generated using the secondary evaluation model, and the reliability of the pressure-bearing equipment is evaluated using the value.

[0040] With the above technical solution, the reliability index S can be generated using the secondary evaluation model, and the reliability of the pressure-bearing equipment is evaluated using the value.

[0041] Preferably, in the result analysis and decision-making of step five, the output result of the reliability index S is received, and the reliability of the pressure-bearing equipment is divided into excellent grade, good grade, qualified grade, and unqualified grade according to the reliability index S. The excellent grade and good grade do not require maintenance and rectification. Certain maintenance measures are taken for the qualified grade. The pressure-bearing equipment of the unqualified grade is immediately stopped and rectified or scrapped.

[0042] With the above technical solution, the value of the reliability index S can be graded using result analysis and decision-making, so as to quantitatively display the reliability of the pressure-bearing equipment.

[0043] Preferably, the system includes a computer, a data acquisition module, a data processing module, an evaluation model module, and a result evaluation module. The computer is respectively connected to the data acquisition module, the data processing module, the evaluation model module, and the result evaluation module. The data acquisition module is connected to the data acquisition sensor to collect and upload the parameter data of the pressure-bearing equipment. The data processing module receives the original data of the data acquisition module and preprocesses the data. The evaluation model module has an evaluation model built-in and outputs the reliability index S of the pressure-bearing equipment. The result evaluation module receives the reliability index S and evaluates the reliability of the pressure-bearing equipment according to the result.

[0044] With the above technical solution, the reliability of the pressure-bearing equipment can be evaluated using the evaluation system.

[0045] Compared with the prior art, the beneficial effects of the present invention are: The reliability evaluation method and system for pressure-bearing equipment:

[0046] 1. In the present invention, evaluation parameters in multiple aspects such as safety indicators, operability indicators, durability indicators, and economic indicators are used as variables to construct a primary evaluation model and a secondary evaluation model. The primary evaluation model can quickly screen out pressure-bearing equipment with safety and durability lower than the threshold and output unreliable results, while the data with qualified safety and durability are input into the secondary evaluation model to output the reliability index S. The reliability of the pressure-bearing equipment is objectively evaluated based on the value of the reliability index S. Compared with the traditional evaluation method, the method of evaluating using the value of the reliability index S has data support and can accurately reflect the reliability of the pressure-bearing equipment;

[0047] 2. In the present invention, the output results of the reliability index S are divided into excellent grade, good grade, qualified grade, and unqualified grade. Different operations are performed on the pressure-bearing equipment according to the grade. For example, for equipment with excellent grade and good grade, no maintenance and rectification are required, reducing the maintenance cost of the equipment. For qualified grade equipment, certain maintenance measures are taken to facilitate the timely elimination of potential hidden dangers. Unqualified grade equipment is immediately stopped from running and rectified or scrapped to avoid serious accidents. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] Figure 1 It is a schematic structural diagram of the method flow of the present invention;

[0049] Figure 2 It is a schematic structural diagram of the composition of the reliability index of the present invention;

[0050] Figure 3 It is a schematic structural diagram of the primary evaluation model of the present invention;

[0051] Figure 4 It is a schematic structural diagram of the system composition of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0052] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0053] Please refer to Figures 1-4 , the present invention provides a technical solution: a reliability evaluation method and system for pressure-bearing equipment.

[0054] The system includes a computer, a data acquisition module, a data processing module, an evaluation model module, and a result evaluation module. The computer is respectively connected to the data acquisition module, the data processing module, the evaluation model module, and the result evaluation module. The data acquisition module is connected to data acquisition sensors to collect and upload parameter data of the pressure-bearing equipment. The data processing module receives the original data from the data acquisition module and preprocesses the data. The evaluation model module has an evaluation model built-in and outputs the reliability index S of the pressure-bearing equipment. The result evaluation module receives the reliability index S and evaluates the reliability of the pressure-bearing equipment based on the result. In the data acquisition and processing process of step one, it includes the data acquisition part and the data preprocessing part. The data acquisition part includes the body data of the pressure-bearing equipment, the operation data of the pressure-bearing equipment, and the investment data of the pressure-bearing equipment. The data processing part preprocesses the collected equipment data, including removing duplicate data, missing or abnormal data; performing standardization conversion on the original data to convert the data into a format and range suitable for analysis.

[0055] As Figure 1 and Figure 4 shown, a system with a computer as the core is used to evaluate the reliability of the pressure-bearing equipment. The computer is connected to a data acquisition module, a data processing module, an evaluation model module, and a result evaluation module, respectively realizing the data acquisition of the pressure-bearing equipment, data preprocessing, output of the reliability index S of the pressure-bearing equipment, and the reliability evaluation result of the pressure-bearing equipment. Among them, the data acquisition part collects data through data acquisition sensors and uploads it to the computer for preprocessing, deletes duplicate data and abnormal data, and performs standardization conversion on the original data to facilitate subsequent data processing.

[0056] In the process of calculating evaluation indicators in step two, it includes safety indicators, operability indicators, durability indicators, and economic indicators. The specific calculation process of the evaluation result X of the evaluation indicators is as follows: Generate corresponding quantified evaluation levels x for different evaluation indicators of the pressure-bearing equipment, generate levels for different indicator parameters of the pressure-bearing equipment, and assign the level results of multiple indicator parameters corresponding weights ω, and calculate using the following formula;

[0057] X = ω 1 x 1 + ω 2 x 2 +... + ω n x n

[0058] where ω is the weight under different indicators;

[0059] Use the above formula to calculate the results of safety indicators, operability indicators, durability indicators, and economic indicators respectively. The safety indicators include the strength, sealing degree, and fatigue degree of the pressure-bearing equipment. The evaluation result of the safety indicator is marked as A, and the threshold A is set for the safety indicator evaluation of A min The strength of the pressure-bearing equipment is marked as a 1 The sealing degree of the pressure-bearing equipment is marked as a 2 The fatigue degree of the pressure-bearing equipment material is marked as a 3 The calculation formula for the evaluation result of the safety indicator is as follows:

[0060] A = ω 1 a 1 + ω 2 a 2 = ω 3 a 3

[0061] where ω is the weight of each parameter under the safety indicator;

[0062] The evaluation result of the operability indicator is marked as B. The operability indicators include the operation difficulty, maintenance difficulty, and working condition adaptability of the pressure-bearing equipment. The operation difficulty of the pressure-bearing equipment is marked as b 1 The maintenance difficulty of the pressure-bearing equipment is marked as b 2 The working condition adaptability of the pressure-bearing equipment is marked as b 3 The calculation formula for the evaluation result of the operability indicator is as follows:

[0063] B = ω 1 b 1 + ω 2 b 2 = ω 3 b 3

[0064] where ω is the weight of each parameter under the operability indicator;

[0065] The evaluation result of the durability indicator is marked as C, and the threshold C is set for the durability indicator C min The durability indicators include the aging degree, service life, and corrosion rate of the pressure-bearing equipment. The aging degree of the pressure-bearing equipment is marked as c 1 The service life of the pressure-bearing equipment is marked as c 2 The corrosion rate of the pressure-bearing equipment is marked as c 3 The calculation formula for the evaluation result of the durability indicator is as follows:

[0066] C = ω 1 c 1 + ω 2 c 2 = ω 3 c 3

[0067] where ω is the weight of each parameter under the durability index;

[0068] The evaluation result of the economic index is marked as D. The economic index includes the investment cost, operation cost, and maintenance cost of the pressure-bearing equipment. The investment cost of the pressure-bearing equipment is marked as d 1 , the operation cost of the pressure-bearing equipment is marked as d 2 , the maintenance cost of the pressure-bearing equipment is marked as d 3 , and the calculation formula for the evaluation result of the economic index is as follows:

[0069] D = ω 1 d 1 + ω 2 d 2 = ω 3 d 3

[0070] where ω is the weight of each parameter under the economic index;

[0071] As Figure 2 shown, during the process of calculating the reliability index of the pressure-bearing equipment, the safety index, operability index, durability index, and economic index are calculated and evaluated respectively. Different data are calculated and generated using different weights ω. The evaluation result of the safety index is marked as A, and a threshold A min is set, the evaluation result of the operability index is marked as B, the evaluation result of the durability index is marked as C, and a threshold C min is set, while the evaluation result of the economic index is marked as D, and the calculation results are input into the evaluation model to evaluate the reliability of the pressure-bearing equipment.

[0072] In step three, the evaluation model is generated, and in step four, the reliability index is output. The evaluation model includes a primary evaluation model and a secondary evaluation model. The primary evaluation model is used to conduct a primary evaluation of the reliability of the pressure-bearing equipment. The primary evaluation model receives the evaluation index and makes two conditional judgments. The first judgment is based on the evaluation result A of the safety index, and there are the following situations:

[0073] A < A min , immediately output the result that the pressure-bearing equipment is unreliable;

[0074] A ≥ A min , conduct a secondary judgment;

[0075] The secondary judgment is based on the evaluation result C of the durability index, and there are the following situations:

[0076] C < C min , immediately output the result that the pressure-bearing equipment is unreliable;

[0077] C ≥ C min, the evaluation result X of the evaluation index is input into the secondary evaluation model for re-evaluation.

[0078] The secondary evaluation model receives the evaluation indexes screened by the primary evaluation model, calculates and generates the reliability index S of the pressure-bearing equipment, and the calculation formula is as follows;

[0079] S = W 1 A + W 2 B + W 3 C + W 4 D

[0080] where W i is the parameter weight;

[0081] Using the result generated after inputting the pressure-bearing equipment data into the evaluation model to train the evaluation model, by comparing the actual data with the model prediction results, verifying and optimizing the established evaluation model, and using machine learning algorithms to correct the value of W i in the model to improve the accuracy and reliability of the evaluation model;

[0082] As Figure 3 shown, the primary evaluation model receives the evaluation indexes and makes two conditional judgments. One judgment is based on the evaluation result A of the safety index. If A < A min , the result that the pressure-bearing equipment is unreliable is immediately output, while if A ≥ A min , a second judgment is made; the second judgment is based on the evaluation result C of the durability index. If C < C min , the result that the pressure-bearing equipment is unreliable is immediately output, and if C ≥ C min , the evaluation result X of the evaluation index is input into the secondary evaluation model for re-evaluation, and the secondary evaluation model calculates the reliability index S as the judgment basis for the reliability of the pressure-bearing equipment.

[0083] In the result analysis and decision-making of step five, receive the output result of the reliability index S, and classify the reliability of the pressure-bearing equipment into excellent grade, good grade, qualified grade and unqualified grade according to the reliability index S. For the excellent grade and good grade, no maintenance and rectification are required. For the qualified grade, certain maintenance measures are taken. For the unqualified grade, the pressure-bearing equipment is immediately stopped from running and rectified or scrapped;

[0084] Classify the reliability of the pressure-bearing equipment into excellent grade, good grade, qualified grade and unqualified grade according to the output result of the reliability index S, and make different decisions respectively. For example, for the unqualified grade, the pressure-bearing equipment is immediately stopped from running and rectified or scrapped to prevent accidents, while for the qualified grade, certain maintenance measures are taken to reduce potential safety hazards and maintenance costs.

[0085] Working principle: When evaluating the reliability of pressure-bearing equipment, first use data acquisition sensors to collect the original data of the pressure-bearing equipment to be evaluated, and preprocess the original data to facilitate subsequent processing and evaluation. Then, input the processed data into the calculation models of various evaluation indicators and output the calculation result reliability index S. According to the value of the reliability index S, output the result to evaluate and analyze the reliability of the pressure-bearing equipment.

[0086] Although the embodiments of the present invention have been shown and described, those of ordinary skill in the art can understand that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principle and spirit of the present invention.

Claims

1. A reliability evaluation method for pressure-bearing equipment, characterized by: The evaluation method comprises the following steps: Step 1: Data collection and processing step, using data collection sensors to collect data from the pressure-bearing equipment to be evaluated, and preprocessing the collected data; Step 2: Evaluation index calculation step, input the processed data into the calculation model of each evaluation index and output the calculation results, and assign weights to each index; Step 3: Evaluation model generation step, using evaluation indicators as variables to build a secondary evaluation model. The primary evaluation model determines whether the equipment is reliable, and the secondary evaluation model further evaluates reliable equipment; Step 4: Reliability index output step, inputting the calculated evaluation index results into the evaluation model to generate the reliability evaluation results of the pressure-bearing equipment; Step 5: Result analysis and decision-making step, based on the output results, evaluate and analyze the reliability of the pressure equipment.

2. A reliability evaluation method for pressure-bearing equipment according to claim 1, characterized in that: The data collection and processing process in step 1 includes a data collection part and a data preprocessing part. The data collection part includes the main body data of the pressure-bearing equipment, the operation data of the pressure-bearing equipment and the investment data of the pressure-bearing equipment. The data processing part preprocesses the collected equipment data, including deleting duplicate data, missing or abnormal data; standardizing and converting the original data, and converting the data into a format and range suitable for analysis.

3. The reliability evaluation method for pressure-bearing equipment according to claim 1, characterized in that: In the evaluation index calculation process of step 2, including safety index, operability index, durability index and economic index, the specific process of calculating the evaluation index evaluation result X is as follows: according to different evaluation indexes of pressure-bearing equipment, a corresponding quantitative evaluation grade x is generated, and the grades of different index parameters of pressure-bearing equipment are generated, and the grade results of multiple index parameters are assigned corresponding weights ω, and the following formula is used for calculation; X=ω1x1+ω2x2+...+ω n x n Where ω is the weight under different indicators; The above formula is used to calculate the safety index, operability index, durability index and economic index respectively. The safety index includes the strength, sealing degree and fatigue degree of the pressure-bearing equipment. The safety index evaluation result is marked as A. The safety index evaluation A sets the threshold A. min , the strength of the pressure-bearing equipment is marked as a1, the sealing degree of the pressure-bearing equipment is marked as a2, the fatigue degree of the pressure-bearing equipment material is marked as a3, and the calculation formula of the safety index evaluation result is as follows: A=ω1a1+ω2a2=ω3a3 Where ω is the weight of each parameter under the safety index; The operability index evaluation result is marked as B. The operability index includes the operation difficulty, maintenance difficulty and working condition adaptability of the pressure-bearing equipment. The operation difficulty of the pressure-bearing equipment is marked as b1, the maintenance difficulty of the pressure-bearing equipment is marked as b2, and the working condition adaptability of the pressure-bearing equipment is marked as b3. The calculation formula of the operability index evaluation result is as follows: B=ω1b1+ω2b2=ω3b3 Where ω is the weight of each parameter under the operational index; The durability index evaluation result is marked as C, and the durability index C sets a threshold value C min The durability index evaluation includes the aging degree, service life and corrosion rate of the pressure-bearing equipment. The aging degree of the pressure-bearing equipment is marked as c1, the service life of the pressure-bearing equipment is marked as c2, and the corrosion rate of the pressure-bearing equipment is marked as c3. The calculation formula of the durability index evaluation result is as follows: C=ω1c1+ω2c2=ω3c3 Where ω is the weight of each parameter under the durability index; The economic index evaluation result is marked as D. The economic index includes the investment cost, operation cost and maintenance cost of the pressure-bearing equipment. The investment cost of the pressure-bearing equipment is marked as d1, the operation cost of the pressure-bearing equipment is marked as d2, and the maintenance cost of the pressure-bearing equipment is marked as d3. The calculation formula of the economic index evaluation result is as follows: D=ω1d1+ω2d2=ω3d3 Where ω is the weight of each parameter under the economic index.

4. The reliability evaluation method for pressure-bearing equipment according to claim 1, characterized in that: In the step 3 of generating the evaluation model and the step 4 of outputting the reliability index, the evaluation model includes a primary evaluation model and a secondary evaluation model. The primary evaluation model is used to perform a primary evaluation on the reliability of the pressure equipment. The primary evaluation model receives the evaluation index and performs two conditional judgments. The primary judgment is based on the safety index evaluation result A. The following situations exist: A min , immediately output the result that the pressure-bearing equipment is unreliable;​ A≥A min , make a secondary judgment; The secondary judgment is based on the durability index evaluation result C, and the following situations exist: C <C min , immediately output the result that the pressure-bearing equipment is unreliable; C≥C min , the evaluation result X of the evaluation index is input into the secondary evaluation model for re-evaluation.

5. A reliability evaluation method for pressure-bearing equipment according to claim 4, characterized in that: The secondary evaluation model receives the evaluation index screened by the primary evaluation model, and calculates and generates the reliability index S of the pressure-bearing equipment. The calculation formula is as follows: S=W1A+W2B+W3C+W4D Where W i is the parameter weight; The evaluation model is trained by using the results generated after the pressure equipment data is input into the evaluation model. The established evaluation model is verified and optimized by comparing the actual data with the model prediction results. The W in the model is optimized by using the machine learning algorithm. i The numerical values ​​are corrected to improve the accuracy and reliability of the evaluation model.

6. A reliability evaluation method for pressure-bearing equipment according to claim 1, characterized in that: In the result analysis and decision-making of step five, the output result of the reliability index S is received, and the reliability of the pressure-bearing equipment is divided into excellent grade, good grade, qualified grade and unqualified grade according to the reliability index S. The excellent grade and the good grade do not require maintenance and rectification, the qualified grade takes certain maintenance measures, and the unqualified grade pressure-bearing equipment immediately stops running and undergoes rectification or is scrapped.

7. A reliability evaluation system for pressure-bearing equipment, characterized by: The system includes a computer, a data acquisition module, a data processing module, an evaluation model module and a result evaluation module. The computer is respectively connected to the data acquisition module, the data processing module, the evaluation model module and the result evaluation module. The data acquisition module is connected to the data acquisition sensor to collect and upload parameter data of the pressure-bearing equipment. The data processing module receives the original data of the data acquisition module and pre-processes the data. The evaluation model module has a built-in evaluation model and outputs a reliability index S of the pressure-bearing equipment. The result evaluation module receives the reliability index S and evaluates the reliability of the pressure-bearing equipment according to the result.

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