A method for safety supervision of water conservancy and hydropower project construction

Abstract

The present invention discloses a method for supervising the construction safety of water conservancy and hydropower projects, which relates to the technical field of engineering construction, and includes the following methods: inputting the environmental risk degree value, the complexity value of the construction technology and the number of defects in the construction management into the supervision module, and the supervision module outputs the comprehensive risk index, the response capability index and the safety performance index. The present invention has a number of factors such as comprehensive environmental risks, technical complexity, management defects, personnel training rate, and the integrity rate of safety facilities, and realizes the accurate quantitative assessment of construction risks, and combines blockchain technology to realize rapid resource allocation, so as to significantly improve the speed and efficiency of emergency response, and can also comprehensively evaluate the safety performance in the construction process, and provide strong support for the continuous improvement of safety management. The method utilizes the decentralized and tamper-proof characteristics of blockchain technology to realize the transparency and traceability of construction safety data, and ensure the authenticity and integrity of the data.

Description

Technical Field

[0001] The invention relates to the technical field of engineering construction, and in particular to a method for safety supervision of water conservancy and hydropower engineering construction. Background Art

[0002] With the rapid development of water conservancy and hydropower project construction, safety management in the water conservancy and hydropower construction process has become a crucial link. Water conservancy and hydropower projects often have the characteristics of long construction period, high technical complexity, and changeable working environment. These characteristics significantly increase the safety risks in the construction process, and thus require safety supervision of water conservancy and hydropower project construction.

[0003] At present, existing supervision methods mostly rely on experience and subjective judgment, and may lack scientific and systematic quantitative assessment methods, resulting in inaccurate risk assessment results and difficulty in effectively guiding safety management work. In addition, in the existing construction safety supervision, data sharing between departments and links is not smooth, forming data islands, making it impossible to comprehensively and accurately assess construction safety risks. When a safety accident occurs, due to poor information flow and untimely resource allocation, the emergency response may be slow and the development of the situation cannot be quickly controlled. Summary of the invention

[0004] The purpose of the present invention is to provide a method for safety supervision of water conservancy and hydropower project construction, which solves the problems raised in the above-mentioned background technology.

[0005] To achieve the above object, the present invention provides the following technical solution: a method for supervising the construction safety of a water conservancy and hydropower project, comprising the following supervision method:

[0006] 1. Based on the data acquisition module, the environmental monitoring data, project design data, safety inspection data and personnel technical training data of the construction site are obtained, and the data is stored in the memory and then transmitted to the computer;

[0007] 2. Input the collected environmental monitoring data, project design data, safety inspection data and personnel technical training data into the data processing module, which outputs the environmental risk level value during construction, the complexity value of construction technology, the number of defects in construction management and the proportion value of safety training for construction personnel;

[0008] 3. Input the environmental risk level during construction, the complexity of construction technology, the number of defects in construction management and the proportion of safety training for construction personnel into the supervision module, which outputs the comprehensive risk index, response capability index and safety performance index;

[0009] 4. Encrypt the comprehensive risk index, response capability index and safety performance index and upload them to the blockchain application module to ensure the data is tamper-proof and traceable;

[0010] 5. Based on the management module, the dynamic changes of the comprehensive risk index, response capability index and safety performance index are monitored in real time, and the early warning mechanism is automatically triggered.

[0011] Optionally, the supervision module includes: a safety risk sub-module, an emergency response sub-module, a safety indicator sub-module and an optimization sub-module.

[0012] Optionally, the security risk submodule processing process is as follows:

[0013] ;

[0014] in:

[0015] AOC refers to the overall risk index;

[0016] a refers to the environmental risk weight, b refers to the management risk index, c refers to the technical risk index, and d refers to the personnel risk index;

[0017] AOCB refers to the environmental risk level during construction, and AOCC refers to the reference risk value of environmental risk;

[0018] AOCD refers to the number of defects in construction management, and AOCE refers to the total number of links in construction management;

[0019] AOCF refers to the complexity value of construction technology, and AOCG refers to the proportion value of safety training for construction personnel;

[0020] 1-AOCG refers to the proportion of untrained personnel;

[0021] The environmental risk level value AOCB in construction, the number of defects in construction management AOCD, the complexity value of construction technology AOCF and the proportion value of safety training for construction personnel AOCG are substituted into the safety risk sub-module, and the environmental risk level value AOCB in construction and the number of defects in construction management AOCD are linked based on the reference risk value AOCC of environmental risk and the total number of links in construction management AOCE to output the comprehensive risk index AOC.

[0022] Optionally, the emergency response submodule processing process is as follows:

[0023] ;

[0024] in:

[0025] OUG refers to the responsiveness index;

[0026] OUGA refers to effective response time, OUGB refers to adjusted resource allocation efficiency, OUGC refers to emergency plan score, OUGD refers to total response time, and OUGE refers to potential loss assessment;

[0027] OA refers to the original resource allocation efficiency, OB refers to the adjustment factor, and α refers to the adjustment coefficient;

[0028] Based on the environmental risk degree value AOCB during construction and the reference risk value AOCC of environmental risk, the effective response time OUGA, adjusted resource allocation efficiency OUGB, emergency plan score OUGC, total response time OUGD and potential loss assessment OUGE are input into the emergency response submodule, and the response capability index OUG is output.

[0029] Optionally, the safety indicator submodule processing process is as follows:

[0030] ;

[0031] in:

[0032] SKT refers to the Safety Performance Index;

[0033] SKTA refers to the safety accident rate, SKTB refers to the industry average accident rate, and SKTC refers to the safety culture score;

[0034] S1, S2, S3, and S4 are the weight coefficients of AOC, OUG, SKTA, and SKTC, respectively;

[0035] The comprehensive risk index AOC and the response capability index OUG are input into the safety indicator sub-module, and the safety performance index SKT is output based on the safety accident rate SKTA, the industry average accident rate SKTB and the safety culture score SKTC.

[0036] Optionally, the optimization submodule processing process is as follows:

[0037] First: OB new =OB+OS×(SKT-SKT1);

[0038] Second: Set the iteration termination condition:

[0039] Condition 1: The number of iterations n is 55;

[0040] Condition 2: |OUGB n -OUGB n-1 |<V, V=0.0035;

[0041] When any of the conditions 1 and 2 are met, the iteration is terminated immediately;

[0042] in:

[0043] OB new refers to the adjustment factor after iteration, OS refers to the sensitivity coefficient, and SKT1 refers to the comparison threshold;

[0044] OUGB n -OUGB n-1 Refers to the difference between the OUGB after the nth iteration and the OUGB after the n-1th iteration;

[0045] Based on the absolute value of the difference between the safety performance index SKT and the comparison threshold SKT1, the sensitivity coefficient OS is used to adjust the degree of change of the adjustment factor OB, and the iterative adjustment factor OB is output. new , the iterated adjustment factor OB new Replace the adjustment factor OB in the emergency response submodule to iterate the response capability index OUG and the safety performance index SKT, and iterate the convergence purpose from conditions one and two.

[0046] Optionally, the data acquisition module uses environmental monitoring equipment to collect environmental data from the construction site to obtain environmental monitoring data, and obtains project design data based on project design documents, construction drawings and expert review opinions, obtains safety inspection data through daily inspections, safety inspection records and management audit reports, and obtains personnel technical training data through training records, personnel files and assessment results.

[0047] Optionally, the environmental monitoring equipment includes: an air quality monitor, a water level monitoring station, a high-altitude photography drone, a temperature and humidity sensor, and a gas concentration sensor.

[0048] Compared with the prior art, the present invention has the following beneficial effects:

[0049] 1. The present invention obtains a comprehensive risk index through the safety risk sub-module. The introduction of the comprehensive risk index makes the identification of construction safety risks more systematic and scientific. Through comprehensive evaluation of multiple dimensions such as environment, technology, management, personnel and safety facilities, construction units can accurately identify high-risk areas and links and formulate risk prevention and control measures in a targeted manner. Accurate risk prevention and control strategies effectively reduce safety risks in the construction process.

[0050] 2. The present invention obtains a response capability index through the safety risk sub-module. The introduction of the response capability index provides strong support for the rapid response of construction units in emergency situations. By quantitatively evaluating the effective response time, resource allocation efficiency, the degree of perfection of emergency plans and potential loss factors, construction units can promptly discover and make up for the weak links in emergency response, thereby ensuring that they can respond quickly and effectively when safety accidents occur to reduce accident losses.

[0051] 3. The present invention obtains a safety performance index through a safety indicator sub-module. The introduction of the safety performance index can comprehensively reflect the safety management level during the construction process. By regularly calculating and analyzing the safety performance index, the construction unit can clearly see its own strengths and weaknesses in safety management and thus formulate targeted improvement measures. The safety performance index also provides an important regulatory basis for regulatory authorities, which helps to promote the continuous improvement of the safety performance of the entire industry.

[0052] 4. The present invention iterates the adjustment factor based on the safety performance index through the optimization sub-module, and then can continuously adjust and optimize the response capability index and the safety performance index. The iterative process can make the supervision data closer to the actual construction situation, improve the accuracy and real-time nature of the data, and the introduction of blockchain technology further enhances the security and credibility of the data and provides strong support for supervision. The iterative supervision method combined with blockchain technology can significantly improve the level of safety supervision of water conservancy and hydropower project construction and thus reduce the risk of construction accidents. Therefore, the supervision method under the iterative cycle is indispensable for the safety supervision of water conservancy and hydropower project construction. Relevance and necessity. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] Figure 1 This is a flow chart of the steps of the safety supervision method for water conservancy and hydropower project construction;

[0054] Figure 2 This is a schematic diagram of the overall structure of the water conservancy and hydropower project construction safety supervision method;

[0055] Figure 3 This is a structural diagram of the supervision module in the water conservancy and hydropower project construction safety supervision method. DETAILED DESCRIPTION

[0056] 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.

[0057] Regarding this water conservancy and hydropower project construction safety supervision method, it is different from the existing water conservancy and hydropower project construction safety supervision method. The existing supervision method relies on manual inspections, paper records and other methods, but this method may have problems such as data loss and difficulty in tracing, low supervision efficiency, etc. At the same time, due to the dispersion of data and the lack of unified standards, the safety risk assessment is inaccurate, and the emergency response is not timely; the sub-module of this water conservancy and hydropower project construction safety supervision method introduces blockchain technology, and combines the safety risk sub-module, emergency response sub-module, safety indicator sub-module and optimization sub-module to conduct safety risk assessment, emergency response capability assessment and overall safety performance assessment, thereby significantly improving the safety performance and emergency response capability during the construction process, and providing a strong guarantee for the safe construction of water conservancy and hydropower projects.

[0058] Example 1: Please refer to Figures 1 to 3 This implementation provides a method for safety supervision of water conservancy and hydropower project construction, including the following supervision methods:

[0059] Based on the data acquisition module, the environmental monitoring data, project design data, safety inspection data and personnel technical training data of the construction site are obtained, and the data is stored in the memory and then transmitted to the computer;

[0060] The collected environmental monitoring data, project design data, safety inspection data and personnel technical training data are input into the data processing module, and the data processing module outputs the environmental risk level value during construction, the complexity value of construction technology, the number of defects in construction management and the proportion value of safety training for construction personnel;

[0061] The environmental risk level during construction, the complexity of construction technology, the number of defects in construction management and the proportion of safety training for construction personnel are input into the supervision module, which outputs the comprehensive risk index, response capability index and safety performance index;

[0062] The comprehensive risk index, response capability index and safety performance index are encrypted and uploaded to the blockchain application module to ensure the data is tamper-proof and traceable;

[0063] Based on the management module, the dynamic changes of comprehensive risk index, response capability index and safety performance index are monitored in real time, and the early warning mechanism is automatically triggered;

[0064] The supervision module includes: safety risk sub-module, emergency response sub-module, safety indicator sub-module and optimization sub-module.

[0065] In this embodiment, the safety risk submodule focuses on a comprehensive assessment of construction risks to provide construction units with a decision-making basis for risk prevention and control, while the emergency response submodule focuses on the real-time assessment of emergency response capabilities to ensure that they can respond quickly and effectively when safety accidents occur. The two complement each other and together constitute the two pillars of construction safety supervision. The calculation results of the safety risk submodule directly affect the risk dimension score in the safety index submodule, which in turn affects the overall safety performance assessment. The emergency response submodule is one of the key factors in improving the safety index submodule. By improving the response capability index, the construction unit can reduce the occurrence and loss of safety accidents, thereby improving the score of the safety performance index, and thus the multiple submodules of this supervision module have a high correlation between each other;

[0066] The introduction of the comprehensive risk index AOC makes the identification of construction safety risks more systematic and scientific. Through comprehensive assessment of multiple dimensions such as environment, technology, management, personnel and safety facilities, construction units can accurately identify high-risk areas and links, and then formulate targeted risk prevention and control measures. This precise risk prevention and control strategy effectively reduces safety risks during the construction process;

[0067] The real-time evaluation of the response capability index OUG provides strong support for the construction team's rapid response in emergency situations. By quantitatively evaluating factors such as effective response time, resource allocation efficiency, degree of perfection of emergency plans, and potential losses, the construction unit can promptly discover and make up for the weak links in emergency response, ensuring that it can respond quickly and effectively when a safety accident occurs, thereby reducing accident losses;

[0068] As a comprehensive evaluation indicator of construction safety supervision, the safety performance index SKT comprehensively reflects the safety management level during the construction process. By regularly calculating and analyzing the safety performance index SKT, construction units can clearly see their own strengths and weaknesses in safety management, and thus formulate targeted improvement measures. At the same time, the safety performance index SKT also provides an important basis for supervision departments, which helps to promote the continuous improvement of safety performance in the entire industry.

[0069] The application of blockchain technology ensures the authenticity and traceability of construction safety supervision data. All data related to the comprehensive risk index AOC, the response capability index OUG and the safety performance index SKT are recorded on the blockchain, realizing transparent sharing and non-tamperability of data. This not only enhances the trust between regulatory authorities, construction units and the public, but also provides more reliable data support for decision-making on construction safety supervision.

[0070] This construction safety supervision method realizes a comprehensive assessment of construction risks, a real-time assessment of emergency response capabilities, and a comprehensive evaluation of safety performance by introducing the comprehensive risk index AOC, the response capability index OUG, and the safety performance index SKT. This method not only improves the accuracy and efficiency of construction safety supervision, but also promotes the self-management of construction units and the precise supervision of regulatory departments. At the same time, the application of blockchain technology ensures the authenticity and traceability of the data, providing more reliable technical support for construction safety supervision.

[0071] See also Figures 1 to 3 , the security risk submodule processing process is as follows:

[0072] ;

[0073] in:

[0074] AOC refers to the overall risk index;

[0075] a refers to the environmental risk weight, b refers to the management risk index, c refers to the technical risk index, and d refers to the personnel risk index;

[0076] AOCB refers to the environmental risk level during construction, and AOCC refers to the reference risk value of environmental risk;

[0077] AOCD refers to the number of defects in construction management, and AOCE refers to the total number of links in construction management;

[0078] AOCF refers to the complexity value of construction technology, and AOCG refers to the proportion value of safety training for construction personnel;

[0079] 1-AOCG refers to the proportion of untrained personnel;

[0080] The environmental risk level value AOCB in construction, the number of defects in construction management AOCD, the complexity value of construction technology AOCF and the proportion value of safety training for construction personnel AOCG are substituted into the safety risk sub-module, and the environmental risk level value AOCB in construction and the number of defects in construction management AOCD are linked based on the reference risk value AOCC of environmental risk and the total number of links in construction management AOCE to output the comprehensive risk index AOC.

[0081] In this embodiment: the comprehensive risk index AOC is one of the core indicators in the safety supervision of water conservancy and hydropower project construction. Its effect is to comprehensively and systematically evaluate various risk factors in the construction process. By considering multiple influencing factors such as environmental risk, technical complexity, management defects, and personnel training rate, the comprehensive risk index AOC can provide a quantitative and comparable risk level assessment result, which is helpful for construction units to identify key risk points and formulate targeted risk prevention and control measures, thereby improving construction safety;

[0082] The calculation results of the comprehensive risk index AOC can be recorded on the blockchain. The immutability and transparency of the blockchain ensure the authenticity and traceability of the comprehensive risk index AOC data, providing a reliable basis for decision-making for regulatory authorities and construction units. At the same time, blockchain technology can also support the real-time update and sharing of the comprehensive risk index AOC data, so that all parties can understand the changes in construction risks in a timely manner and make corresponding adjustments.

[0083] Among them: The environmental risk level value during construction AOCB collects risk factor information related to the project environment through on-site investigation, environmental monitoring, historical data review, etc., and assigns a risk level and risk value to each risk factor based on the collected information, combined with industry standards and expert experience, and then uses the weighted summation method to combine these risk values ​​into a single environmental risk level value;

[0084] The reference risk value AOCC for environmental risk is determined based on industry standards and project requirements. It represents the acceptable level or safety limit of environmental risk. This value is used to compare with the environmental risk level value AOCB during construction.

[0085] The AOCF is a measure of the technical difficulty and complexity of a project by reviewing the project's technical plan, construction drawings, process flow and other information. Specifically, the technical complexity is divided into different levels and assigned different values ​​according to the different technical difficulties and complexities. This can be established through expert scoring, historical project comparison and industry standards.

[0086] The number of defects in construction management AOCD is to discover and record defects and problems in the management process through project management audits, safety inspections and internal audits, and regard each defect and problem found as a management defect number and accumulate them;

[0087] The total number of links in construction management AOCE is determined based on the size and complexity of the project. This can be achieved through project management plans and flow charts. The total number of links in construction management AOCE is a fixed value that is compared with the number of management defects to assess the relative number of management defects.

[0088] The ratio value of construction personnel safety training AOCG is calculated by recording the number of personnel participating in safety training and the total number of personnel, and calculating the personnel training rate.

[0089] See also Figures 1 to 3 , the emergency response submodule processing process is as follows:

[0090]

[0091] in:

[0092] OUG refers to the responsiveness index;

[0093] OUGA refers to the effective response time, which is the time it takes to take effective countermeasures after a security incident occurs;

[0094] OUGB refers to the adjusted resource allocation efficiency;

[0095] OUGC refers to the emergency plan score, which is a quantitative assessment of the completeness and feasibility of the emergency plan;

[0096] OUGD refers to the total response time, which is the time from the occurrence of a security incident to the complete resolution of the incident;

[0097] OUGE refers to potential loss evaluation, which is a quantitative assessment of the losses that may be caused by a security incident;

[0098] OA refers to the original resource allocation efficiency, that is, the resource allocation efficiency without considering the environmental risk level;

[0099] OB refers to the adjustment factor, and its initial value is set to 1.0;

[0100] α refers to the adjustment coefficient, which is used to control the impact of environmental risk on resource allocation efficiency;

[0101] Based on the environmental risk degree value AOCB during construction and the reference risk value AOCC of environmental risk, the effective response time OUGA, adjusted resource allocation efficiency OUGB, emergency plan score OUGC, total response time OUGD and potential loss assessment OUGE are input into the emergency response submodule, and the response capability index OUG is output.

[0102] In this embodiment: the response capability index OUG evaluates the efficiency and effectiveness of the construction team in responding to safety incidents, and is an indispensable part of construction safety supervision. By considering factors such as the effective response time OUGA, the adjusted resource allocation efficiency OUGB, the emergency plan score OUGC, and the potential loss assessment OUGE, the response capability index OUG can reflect the response capability and management level of the construction team in emergency situations, which is of great significance for improving construction safety and reducing accident losses;

[0103] The response capability index OUG can be recorded on the blockchain to ensure the authenticity and traceability of the data. In an emergency, regulatory authorities and construction units can quickly obtain the response capability index OUG data to timely evaluate the emergency response capability, allocate resources and formulate response measures accordingly. The real-time update and sharing mechanism of the blockchain also helps to improve the efficiency and accuracy of emergency response.

[0104] This response capability index OUG can reflect the construction team's immediate response capabilities in emergency situations. It can be combined with blockchain technology to improve the efficiency and accuracy of emergency response, thereby providing construction units with a clear direction for improving emergency management;

[0105] Different from the existing methods, it may lack a comprehensive assessment mechanism for emergency response capabilities, resulting in an inability to respond quickly and effectively in emergency situations. At the same time, the recording and sharing of emergency response data are also inconvenient and delayed;

[0106] Among them: In this submodule, the environmental risk level value AOCB during construction and the reference risk value AOCC of environmental risk are introduced. The environmental risk level value AOCB during construction reflects the impact of the current construction environment on safe construction. In water conservancy and hydropower projects, environmental factors such as geological conditions and climatic conditions often have an important impact on construction progress and safety. By introducing AOCB, the efficiency and effect of resource allocation under different environmental conditions can be more accurately evaluated;

[0107] Resource allocation efficiency is not fixed and is affected by many factors, among which environmental risk is an important external factor. By introducing AOCB and AOCC, resource allocation strategies can be adjusted more flexibly to adapt to safety needs under different environmental conditions. This dynamic adjustment mechanism helps to improve the efficiency and effectiveness of resource use and reduce the probability of safety accidents.

[0108] The introduction of AOCB and AOCC can dynamically adjust the efficiency of resource allocation according to changes in environmental risk, so that resources can be more reasonably allocated and used. At the same time, when environmental risks are high, by improving the efficiency of resource allocation, effective emergency response measures can be initiated and implemented more quickly to reduce potential losses. By optimizing resource allocation and emergency response mechanisms, the incidence rate and degree of losses of safety accidents can be reduced, thereby improving the overall safety performance of water conservancy and hydropower projects.

[0109] As for the calculation of the response capability index OUG, the introduction of AOCB and AOCC can more comprehensively evaluate the emergency response capability of the construction unit. The response capability index OUG not only takes into account factors such as effective response time, resource allocation efficiency and emergency plan score, but also takes environmental risk into consideration through OUGB. This makes the calculation results of OUG closer to the actual situation and can better reflect the emergency response capability level of the construction unit under different environmental conditions.

[0110] See also Figures 1 to 3 ,The processing process of the safety indicator sub-module is as follows:

[0111]

[0112] in:

[0113] SKT refers to the Safety Performance Index;

[0114] SKTA refers to the safety accident rate, which is the number of safety accidents that occur per unit time, and is compared with the industry average accident rate to assess the relative safety level;

[0115] SKTB refers to the industry average accident rate, which is the average safety accident rate in the same industry or the same type of project, as a comparison benchmark;

[0116] SKTC refers to the safety culture score, which is a quantitative assessment of the safety culture construction of the construction unit, reflecting its emphasis on safety management and its implementation;

[0117] S1, S2, S3, and S4 are the weight coefficients of AOC, OUG, SKTA, and SKTC, respectively;

[0118] The comprehensive risk index AOC and the response capability index OUG are input into the safety indicator sub-module, and the safety performance index SKT is output based on the safety accident rate SKTA, the industry average accident rate SKTB and the safety culture score SKTC.

[0119] In this embodiment: the safety performance index SKT is used as a comprehensive evaluation indicator for safety supervision of water conservancy and hydropower project construction. Its effect is to comprehensively evaluate the safety performance level in the construction process. By comprehensively considering multiple aspects such as the comprehensive risk index AOC and the response capability index OUG, the safety performance index SKT can provide a comprehensive and quantifiable safety performance evaluation result, which is helpful for construction units to fully understand their own safety management level and formulate improvement measures accordingly. At the same time, the safety performance index SKT also provides important supervision basis and decision-making support for regulatory authorities;

[0120] Unlike existing methods, the lack of a comprehensive safety performance evaluation mechanism may lead to inaccurate and incomplete assessment of the safety management level of construction units. At the same time, the recording and sharing of evaluation data are also inconvenient and delayed, affecting the efficiency and accuracy of supervision.

[0121] See also Figures 1 to 3 , the optimization submodule processing process is as follows:

[0122] First: OB new =OB+OS×(SKT-SKT1);

[0123] Second: Set the iteration termination condition:

[0124] Condition 1: The number of iterations n is 55;

[0125] Condition 2: |OUGB n -OUGB n-1 |<V, V=0.0035;

[0126] When any of the conditions 1 and 2 are met, the iteration is terminated immediately;

[0127] in:

[0128] OB new Refers to the adjustment factor after iteration;

[0129] OS refers to the sensitivity coefficient, and OS is initially set to 0.1;

[0130] SKT1 refers to the comparison threshold, and SKT1 is initially set to 70;

[0131] OUGB n -OUGB n-1 Refers to the difference between the OUGB after the nth iteration and the OUGB after the n-1th iteration;

[0132] Based on the absolute value of the difference between the safety performance index SKT and the comparison threshold SKT1, the sensitivity coefficient OS is used to adjust the degree of change of the adjustment factor OB, and the iterative adjustment factor OB is output. new, the iterated adjustment factor OB new Replace the adjustment factor OB in the emergency response submodule to iterate the response capability index OUG and the safety performance index SKT, and iterate the convergence purpose from conditions one and two.

[0133] In this embodiment: this iterative form is based on the safety performance index SKT, and the adjustment factor OB can be continuously optimized, thereby affecting the calculated values ​​of the adjusted resource allocation efficiency OUGB and the response capability index OUG. The iterative process can make the supervision data closer to the actual construction situation and improve the accuracy and real-time nature of the data. In the construction of water conservancy and hydropower projects, accurate data is the basis for formulating effective safety supervision measures. Since the construction environment of water conservancy and hydropower projects is complex and changeable, traditional fixed calculation models are difficult to adapt to such changes. The iterative formula enables the system to dynamically adapt to changes in the construction environment by continuously adjusting the calculation parameters according to the actual construction situation, thereby improving the flexibility and adaptability of the supervision system, and through iterative calculations, the efficiency of resource utilization can be more accurately evaluated, thereby optimizing resource allocation. Accurate data and optimized resource allocation provide strong support for safety supervision. Through iterative calculations, potential safety hazards can be discovered in a timely manner, and corresponding preventive measures can be taken, thereby reducing the risk of construction accidents and improving the overall safety supervision effect.

[0134] Different from the existing supervision methods, which often rely on post-event statistics and analysis, data updates lag behind and are difficult to reflect the actual situation of the construction site in a timely manner. In addition, the existing supervision methods lack a dynamic resource optimization mechanism, resulting in unreasonable resource allocation and serious waste;

[0135] Iteration is closely related to blockchain technology. Blockchain technology is decentralized, highly transparent and tamper-proof. Combining the iterative calculation process with blockchain can ensure the authenticity and credibility of the calculated data, prevent data from being tampered with or forged, and help improve the fairness and authority of the supervision system. At the same time, blockchain technology can realize distributed storage and sharing of data. In the safety supervision of water conservancy and hydropower project construction, different departments and units can share the results and data of iterative calculations through the blockchain platform, improve data sharing efficiency, and promote collaborative supervision. Blockchain technology ensures the security of data transmission and storage through encryption algorithms and consensus mechanisms. In the iterative calculation process, blockchain can protect the security of calculation data and results to prevent malicious attacks or theft;

[0136] Through iterative applications, real-time analysis and optimization of construction data can be achieved, and the accuracy and real-time nature of supervision can be improved. At the same time, the introduction of blockchain technology further enhances the security and credibility of data, providing strong support for supervision. This supervision method that combines iterative formulas and blockchain technology is of great significance for improving the level of safety supervision of water conservancy and hydropower project construction and reducing the risk of construction accidents. Therefore, the method under this iterative cycle is indispensable for the safety supervision of water conservancy and hydropower project construction. It is of great significance.

[0137] In the specific implementation process, the three sub-modules in this method are used to form a safety supervision system. The comprehensive risk index AOC is calculated by substituting the environmental risk level value AOCB in construction, the number of defects in construction management AOCD, the complexity value of construction technology AOCF and the proportion value of safety training of construction personnel AOCG into the safety risk sub-module. The calculation of the comprehensive risk index AOC makes the identification of construction safety risks more systematic and scientific. Through comprehensive evaluation of multiple dimensions such as environment, technology, management, personnel and safety facilities, the construction unit can accurately identify high-risk areas and links, and thus formulate risk prevention and control measures in a targeted manner. This precise risk prevention and control strategy effectively reduces the safety risks in the construction process;

[0138] The response capability index OUG is calculated by substituting the environmental risk level value AOCB and the reference risk value AOCC into the emergency response submodule. The calculation of the response capability index OUG provides strong support for the rapid response of construction units in emergency situations. By quantitatively evaluating factors such as effective response time, resource allocation efficiency, degree of perfection of emergency plans and potential losses, construction units can promptly discover and make up for weak links in emergency response, thereby ensuring that they can respond quickly and effectively when safety accidents occur, thereby reducing accident losses.

[0139] The safety performance index SKT is calculated by substituting the comprehensive risk index AOC and the response capability index OUG into the safety index submodule. The calculation of the safety performance index SKT comprehensively reflects the safety management level during the construction process. By regularly calculating and analyzing the safety performance index SKT, construction units can clearly see their own strengths and weaknesses in safety management, and then formulate targeted improvement measures. At the same time, the safety performance index SKT also provides important supervision basis for regulatory authorities, which helps to promote the continuous improvement of safety performance in the entire industry.

[0140] Based on the safety performance index SKT, the adjustment factor OB in the emergency response sub-module is iteratively adjusted. Through iteration, real-time analysis and optimization of construction data can be achieved, thereby improving the accuracy and real-time nature of supervision. The introduction of blockchain technology further enhances the security and credibility of the data, providing strong support for supervision. This supervision method that combines iterative formulas and blockchain technology can significantly improve the level of safety supervision of water conservancy and hydropower project construction and reduce the risk of construction accidents. Therefore, the method under this iterative cycle is indispensable for the safety supervision of water conservancy and hydropower project construction. Relevance and necessity.

[0141] Example 2: Please refer to Figure 1 , Figure 2 and Figure 3 The data acquisition module uses environmental monitoring equipment to collect environmental data from the construction site to obtain environmental monitoring data, and obtains project design data based on project design documents, construction drawings and expert review opinions. It obtains safety inspection data through daily inspections, safety inspection records and management audit reports, and obtains personnel technical training data through training records, personnel files and assessment results. Environmental monitoring equipment includes: air quality monitors, water level monitoring stations, high-altitude photography drones, temperature and humidity sensors, and gas concentration sensors.

[0142] In this embodiment, the on-site environmental information is surveyed and collected through environmental monitoring equipment, and compared based on historical data to obtain risk data of the construction environment. A drone is used for aerial photography, combined with ground monitoring station data and on-site evaluation by professionals, and the collected data is quantified according to a unified standard. Finally, the environmental risk level value AOCB during construction is input into the safety risk submodule and compared with the reference risk value AOCC of the environmental risk. The environmental monitoring equipment is responsible for real-time collection of environmental data such as air quality, water level, temperature and humidity at the construction site, and transmits the data to the data processing center via wireless transmission.

[0143] According to the project design documents, construction drawings and expert review opinions, the complexity of the construction technology is evaluated, and an expert team is organized to conduct a technical review and score the project based on its characteristics. The expert scoring results are then converted into quantitative values ​​and input into the safety risk submodule as the complexity value of the construction technology AOCF;

[0144] Through daily inspections, safety inspection records and management audit reports, the number of management defects is counted and recorded using tools such as safety inspection forms and hidden danger investigation systems. The results of the records and statistics are directly input into the safety risk submodule as the number of defects in construction management (AOCD), and the total number of links in construction management (AOCE) is determined at the same time;

[0145] The training status of construction personnel is counted through training records, personnel files and assessment results, and the human resources management system or training management software is used for statistics. The proportion of trained personnel to the total construction personnel is then calculated and converted into a quantitative value. Finally, it is input into the safety risk sub-module as the proportion value AOCG of construction personnel safety training.

[0146] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for safety supervision of water conservancy and hydropower project construction, characterized by: The following steps are involved: Based on the data acquisition module, the environmental monitoring data, project design data, safety inspection data and personnel technical training data of the construction site are obtained, and the data is stored in the memory and then transmitted to the computer; The collected environmental monitoring data, project design data, safety inspection data and personnel technical training data are input into the data processing module, and the data processing module outputs the environmental risk level value during construction, the complexity value of construction technology, the number of defects in construction management and the proportion value of safety training for construction personnel; 3. Input the environmental risk level during construction, the complexity of construction technology, the number of defects in construction management and the proportion of safety training for construction personnel into the supervision module, which outputs the comprehensive risk index, response capability index and safety performance index; 4. Encrypt the comprehensive risk index, response capability index and safety performance index and upload them to the blockchain application module to ensure the data is tamper-proof and traceable; 5. Based on the management module, real-time monitoring of the dynamic changes of the comprehensive risk index, response capability index and safety performance index can be carried out, and the early warning mechanism can be automatically triggered; The supervision module includes: a safety risk submodule, an emergency response submodule, a safety indicator submodule and an optimization submodule; The security risk submodule processing process is as follows: ； in: AOC refers to the overall risk index; a refers to the environmental risk weight, b refers to the management risk index, c refers to the technical risk index, and d refers to the personnel risk index; AOCB refers to the environmental risk level during construction, and AOCC refers to the reference risk value of environmental risk; AOCD refers to the number of defects in construction management, and AOCE refers to the total number of links in construction management; AOCF refers to the complexity value of construction technology, and AOCG refers to the proportion value of safety training for construction personnel; 1-AOCG refers to the proportion of untrained personnel; Substitute the environmental risk level value AOCB in construction, the number of defects in construction management AOCD, the complexity value of construction technology AOCF and the proportion value of safety training for construction personnel AOCG into the safety risk submodule, and link the environmental risk level value AOCB in construction and the number of defects in construction management AOCD based on the reference risk value AOCC of environmental risk and the total number of links in construction management AOCE, and output the comprehensive risk index AOC; The emergency response submodule processing process is as follows: ； in: OUG refers to the responsiveness index; OUGA refers to effective response time, OUGB refers to adjusted resource allocation efficiency, OUGC refers to emergency plan score, OUGD refers to total response time, and OUGE refers to potential loss assessment; OA refers to the original resource allocation efficiency, OB refers to the adjustment factor, and α refers to the adjustment coefficient; Based on the environmental risk level value AOCB during construction and the reference risk value AOCC of environmental risk, the effective response time OUGA, the adjusted resource allocation efficiency OUGB, the emergency plan score OUGC, the total response time OUGD and the potential loss assessment OUGE are input into the emergency response submodule, and the response capability index OUG is output; The safety indicator submodule processing process is as follows: ； in: SKT refers to the Safety Performance Index; SKTA refers to the safety accident rate, SKTB refers to the industry average accident rate, and SKTC refers to the safety culture score; S1, S2, S3, and S4 are the weight coefficients of AOC, OUG, SKTA, and SKTC, respectively; Input the comprehensive risk index AOC and the response capability index OUG into the safety indicator submodule, and output the safety performance index SKT based on the safety accident rate SKTA, the industry average accident rate SKTB and the safety culture score SKTC; The optimization submodule processing process is as follows: First: OB new =OB+OS×(SKT-SKT1); Second: Set the iteration termination condition: Condition 1: The number of iterations n is 55; Condition 2: |OUGB n -OUGB n-1 |<V, V=0.0035; When any of the conditions 1 and 2 are met, the iteration is terminated immediately; in: OB new refers to the adjustment factor after iteration, OS refers to the sensitivity coefficient, and SKT1 refers to the comparison threshold; OUGB n -OUGB n-1 Refers to the difference between the OUGB after the nth iteration and the OUGB after the n-1th iteration; Based on the absolute value of the difference between the safety performance index SKT and the comparison threshold SKT1, the sensitivity coefficient OS is used to adjust the degree of change of the adjustment factor OB, and the iterative adjustment factor OB is output. new , the iterated adjustment factor OB new Replace the adjustment factor OB in the emergency response submodule to iterate the response capability index OUG and the safety performance index SKT, and iterate the convergence purpose from conditions one and two.

2. The method for safety supervision of water conservancy and hydropower engineering construction according to claim 1 is characterized by: The data acquisition module uses environmental monitoring equipment to collect environmental data from the construction site to obtain environmental monitoring data, and obtains project design data based on project design documents, construction drawings and expert review opinions, obtains safety inspection data through daily inspections, safety inspection records and management audit reports, and obtains personnel technical training data through training records, personnel files and assessment results.

3. The method for safety supervision of water conservancy and hydropower engineering construction according to claim 2 is characterized by: The environmental monitoring equipment includes: an air quality monitor, a water level monitoring station, a high-altitude photography drone, a temperature and humidity sensor, and a gas concentration sensor.

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