A method for constructing a scoring model for hydropower project production safety index based on data-driven technology

Abstract

The present invention relates to the technical field of hydropower engineering, and in particular to a method for constructing a hydropower engineering safety production index scoring model based on data-driven technology, comprising: obtaining hydropower engineering configuration information and energy replacement performance parameters, collecting hydropower engineering energy consumption data, constructing a cloud database, and placing the hydropower engineering configuration information, energy replacement performance parameters and transmission engineering energy consumption data in the cloud database for differentiated storage; the present invention provides a more comprehensive operation status safety analysis for the hydropower engineering through multi-party data collection and distributed analysis of the daily operation of the hydropower engineering, and in the process of executing the method, the operation status safety of the hydropower engineering is represented by the hydropower engineering safety production situation value and the hydropower engineering safety production index performance value, so as to provide such digital analysis results to hydropower engineering management users, so as to facilitate the hydropower engineering management users to make adaptive decisions more quickly.

Description

Technical Field

[0001] The present invention relates to the technical field of hydropower engineering, and in particular to a method for constructing a hydropower engineering production safety index scoring model based on data-driven technology. Background Art

[0002] Hydropower projects are power production projects that use water energy to generate electricity;

[0003] With the development of science and technology, big data and artificial intelligence technologies have been widely used in various fields. In the field of hydropower engineering production, although some safety management systems have been developed and applied, these systems often only focus on one aspect of the problem, such as safety education and training, safety hazard management, etc.

[0004] However, in the daily operation of current hydropower projects, their operation management still relies on a large number of full-time staff to patrol and manage to ensure the daily operation safety of hydropower projects;

[0005] Therefore, there is an urgent need for a new technology that can make full use of existing data and functions to automatically score and evaluate the safety production status of the project. Summary of the invention

[0006] In view of the above-mentioned shortcomings of the prior art, the present invention provides a method for constructing a hydropower project production safety index scoring model based on data-driven technology, which solves the technical problems raised in the above-mentioned background technology.

[0007] To achieve the above objectives, the present invention is implemented through the following technical solutions:

[0008] A method for constructing a hydropower project safety production index scoring model based on data-driven technology, comprising:

[0009] Obtain the configuration information and energy replacement performance parameters of the hydropower project, collect the energy consumption data of the hydropower project, build a cloud database, and place the configuration information of the hydropower project, the energy replacement performance parameters and the energy consumption data of the transmission project in the cloud database for separate storage; retrieve the configuration information of the hydropower project, the energy replacement performance parameters and the energy consumption data of the hydropower project stored in the cloud database to evaluate the safety production situation of the hydropower project respectively: obtain the safety production situation evaluation results of the hydropower project, and conduct real-time safety production index analysis on the hydropower project based on the safety production situation evaluation results of the hydropower project; set the safety judgment threshold of the hydropower project operation status, obtain the safety production index analysis results of the hydropower project, and use the safety production index analysis results of the hydropower project to determine whether the operation status of the hydropower project is safe: when the analysis results of the operation status of the hydropower project are judged to be safe, jump to the safety production situation evaluation stage of the hydropower project; when the analysis results of the operation status of the hydropower project are judged to be unsafe, control the power generation equipment in the hydropower project to stop running, and control the power transmission lines in the hydropower project to be disconnected.

[0010] Furthermore, the hydropower project configuration information includes: power generation of power generation equipment, deployment location of power generation equipment and real-time working status of power generation equipment, energy replacement performance parameters of hydropower project, i.e. power conversion efficiency and power storage efficiency of each power generation equipment in the hydropower project, and energy consumption data of hydropower project includes: daily operation energy consumption, power supply loss and real-time power stock;

[0011] Among them, the hydropower project configuration information is manually uploaded to the cloud database by the hydropower project management users, and the hydropower project energy replacement performance parameters and hydropower project energy consumption data are fed back to the cloud database in real time based on network transmission by the power management equipment connected to the power transmission lines in the hydropower project.

[0012] Furthermore, when the cloud database distinguishes and stores the hydropower project configuration information, energy replacement performance parameters and transmission project energy consumption data, it continuously receives the hydropower project configuration information, energy replacement performance parameters and transmission project energy consumption data based on a specified period, and retrieves the hydropower project configuration information, energy replacement performance parameters and hydropower project energy consumption data stored in the cloud database to respectively evaluate the safety production situation of the hydropower project. The retrieved hydropower project configuration information, energy replacement performance parameters and hydropower project energy consumption data have the same corresponding period and equal quantity.

[0013] Furthermore, when the hydropower project configuration information, energy replacement performance parameters or hydropower project energy consumption data stored in the cloud database are retrieved to evaluate the safety production situation of the hydropower project, the retrieved information, parameters and data correspond to no less than three groups of period groups. The safety production situation evaluation logic of the hydropower project based on the hydropower project configuration information level is expressed as follows:

[0014]

[0015] Where: K1 is the safety production situation value at the hydropower project configuration level; p max is the maximum power generation capacity of the power generation equipment; p min is the minimum power generation of the power generation equipment; n is the set of power generation equipment; p i is the power generation power of the i-th group of power generation equipment; Smax is the maximum water flow velocity at the deployment location of the power generation equipment; S min is the minimum water flow velocity at the deployment location of the power generation equipment; Si is the water flow velocity at the deployment location of the i-th group of power generation equipment; T is the operation time of the power generation equipment with the longest continuous operation time in the hydropower project; g is the comprehensive opening and closing frequency of each power generation equipment in the hydropower project;

[0016] in, Table pair The average, Table pair The smaller the safety production situation value K1 at the hydropower project configuration level is, the safer the hydropower project is based on the configuration information level, and vice versa.

[0017] Furthermore, the safety production situation assessment logic of hydropower projects based on the energy replacement performance parameters of hydropower projects is expressed as follows:

[0018]

[0019] Where: K2 is the safety production situation value at the level of hydropower project energy replacement performance parameters; m is the set of corresponding periods of hydropower project energy replacement performance parameters used in K2 assessment; w j is the power generation conversion efficiency of the power generation equipment in the energy replacement performance parameters of the hydropower project corresponding to the jth group period; w j+1 is the power generation conversion efficiency of the power generation equipment in the energy replacement performance parameters of the hydropower project corresponding to the j+1th group of cycles; is the variability of power conversion efficiency of the i-th group of power generation equipment; j+1 is the power storage efficiency of the power generation equipment connected to the power transmission line in the energy replacement performance parameters of the hydropower project corresponding to the j+1th group of cycles; ti is the operating time of the i-th group of power generation equipment; The losses generated by connecting the power transmission line of the i-th group of power generation equipment based on m;

[0020] Among them, the smaller the safety production situation value K2 at the energy replacement performance parameter level of the hydropower project, the safer the hydropower project is based on the energy replacement performance parameter level, and vice versa.

[0021] Furthermore, the safety production situation assessment logic of hydropower projects based on the energy consumption data of hydropower projects is expressed as follows:

[0022]

[0023] Where: K3 is the safety production situation value at the energy consumption data level of hydropower projects; M j is the electricity storage of the hydropower project in the jth period; loss j is the power supply loss of the hydropower project in the jth period; sup j is the daily operating energy consumption of the hydropower project in the jth group period; νj is the loss incurred in the process of transmitting electricity when all power generation equipment in the hydropower project in the jth group period is connected to the power transmission line; M j+1 is the electricity storage of the hydropower project in the j+1th period; loss j+1 is the power supply loss of the hydropower project in the j+1th period; sup j+1 is the daily operation energy consumption of the hydropower project in the j+1th period; ν j+1 Connect all the power generation equipment in the hydropower project of the j+1th group of cycles to the power transmission line, and the losses incurred in the power transmission process;

[0024] Among them, the safety production situation value K3≤0 at the energy consumption data level of the hydropower project indicates that the hydropower project is safer based on the energy consumption data level, and vice versa.

[0025] Furthermore, all power generation equipment in the hydropower project is connected to the power transmission line, and the loss generated during the power transmission process is expressed as

[0026] Furthermore, after the evaluation of the safety production situation of the hydropower project is completed, the evaluation result is synchronously fed back to the cloud database, so as to iterate the information, parameters or data corresponding to the evaluation result stored in the cloud database with the evaluation result.

[0027] Furthermore, the safety production index analysis logic of the hydropower project is expressed as follows:

[0028] K 综 =K1×K2×K3;

[0029] Where: K is the performance value of the safety production index of the hydropower project;

[0030] Among them, the closer the performance value K of the hydropower project's production safety index is to 0, the safer the operating status of the hydropower project is.

[0031] Furthermore, the analysis result of the hydropower project safety production index is synchronously sent to the cloud database after each calculation, and is stored separately from the hydropower project configuration information, energy replacement performance parameters and power transmission project energy consumption data in the cloud database.

[0032] Compared with the known public technology, the technical solution provided by the present invention has the following beneficial effects:

[0033] The present invention provides a method for constructing a hydropower project production safety index scoring model based on data-driven technology. During the execution of the method, through multi-party data collection and distributed analysis of the daily operation of the hydropower project, a more comprehensive operation status safety analysis is provided for the hydropower project. During the execution of the method, the operation status safety of the hydropower project is represented by the hydropower project production safety situation value and the hydropower project production safety index performance value, so as to provide such digital analysis results to hydropower project management users, which can facilitate hydropower project management users to make adaptive decisions more quickly, ensure that the operation of the hydropower project is more stable, and when dealing with safety risk events, the response strategies made are more timely. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention, and for ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0035] Figure 1 This is a flowchart of a method for constructing a hydropower project safety production index scoring model based on data-driven technology. DETAILED DESCRIPTION

[0036] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are 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.

[0037] The present invention will be further described below in conjunction with the embodiments.

[0038] Embodiment 1:

[0039] A method for constructing a hydropower project safety production index scoring model based on data-driven technology in this embodiment, see Figure 1 As shown, including:

[0040] Step 1: Obtain hydropower project configuration information and energy replacement performance parameters, collect hydropower project energy consumption data, build a cloud database, and place the hydropower project configuration information, energy replacement performance parameters and transmission project energy consumption data in the cloud database for separate storage;

[0041] Step 2: Retrieve the hydropower project configuration information, energy replacement performance parameters and hydropower project energy consumption data stored in the cloud database to evaluate the safety production situation of the hydropower project:

[0042] When the configuration information of the hydropower project, the energy replacement performance parameters or the energy consumption data of the hydropower project stored in the cloud database is retrieved to evaluate the safety production situation of the hydropower project, the number of corresponding period groups of the retrieved information, parameters and data is not less than three groups. The logic of the safety production situation evaluation of the hydropower project based on the configuration information level of the hydropower project is expressed as follows:

[0043]

[0044] Where: K1 is the safety production situation value at the hydropower project configuration level; p max is the maximum power generation capacity of the power generation equipment; p min is the minimum power generation of the power generation equipment; n is the set of power generation equipment; p i is the power generation power of the i-th group of power generation equipment; Smax is the maximum water flow velocity at the deployment location of the power generation equipment; S min is the minimum water flow velocity at the deployment location of the power generation equipment; Si is the water flow velocity at the deployment location of the i-th group of power generation equipment; T is the operation time of the power generation equipment with the longest continuous operation time in the hydropower project; g is the comprehensive opening and closing frequency of each power generation equipment in the hydropower project;

[0045] in, Table pair The average, Table pair The smaller the safety production situation value K1 at the configuration level of the hydropower project, the safer the hydropower project is based on the configuration information level, and vice versa.

[0046] The logical representation of the safety production situation assessment of hydropower projects based on the energy replacement performance parameters of hydropower projects is as follows:

[0047]

[0048] Where: K2 is the safety production situation value at the level of hydropower project energy replacement performance parameters; m is the set of corresponding periods of hydropower project energy replacement performance parameters used in K2 assessment; w j is the power generation conversion efficiency of the power generation equipment in the energy replacement performance parameters of the hydropower project corresponding to the jth group period; w j+1 is the power generation conversion efficiency of the power generation equipment in the energy replacement performance parameters of the hydropower project corresponding to the j+1th group of cycles; is the variability of power conversion efficiency of the i-th group of power generation equipment; j+1is the power storage efficiency of the power generation equipment connected to the power transmission line in the energy replacement performance parameters of the hydropower project corresponding to the j+1th group of cycles; ti is the operating time of the i-th group of power generation equipment; The losses generated by connecting the power transmission line of the i-th group of power generation equipment based on m;

[0049] Among them, the smaller the safety production situation value K2 at the energy replacement performance parameter level of the hydropower project, the safer the hydropower project is based on the energy replacement performance parameter level, and vice versa, it means it is less safe;

[0050] The logical representation of the safety production situation assessment of hydropower projects based on the energy consumption data of hydropower projects is as follows:

[0051]

[0052] Where: K3 is the safety production situation value at the energy consumption data level of hydropower projects; M j is the electricity storage of the hydropower project in the jth period; loss j is the power supply loss of the hydropower project in the jth period; sup j is the daily operating energy consumption of the hydropower project in the jth group period; νj is the loss incurred in the process of transmitting electricity when all power generation equipment in the hydropower project in the jth group period is connected to the power transmission line; M j+1 is the electricity storage of the hydropower project in the j+1th period; loss j+1 is the power supply loss of the hydropower project in the j+1th period; sup j+1 is the daily operation energy consumption of the hydropower project in the j+1th period; ν j+1 Connect all the power generation equipment in the hydropower project of the j+1th group of cycles to the power transmission line, and the losses incurred in the power transmission process;

[0053] Among them, the safety production situation value K3≤0 at the energy consumption data level of the hydropower project indicates that the hydropower project is safer based on the energy consumption data level, and vice versa;

[0054] Step 3: Obtain the safety production situation assessment results of the hydropower project, and conduct real-time safety production index analysis on the hydropower project based on the safety production situation assessment results of the hydropower project;

[0055] The safety production index analysis logic of hydropower projects is expressed as follows:

[0056] K 综 =K1×K2×K3;

[0057] Where: K is the performance value of the safety production index of the hydropower project;

[0058] Among them, the closer the performance value of the safety production index K of the hydropower project is to 0, the safer the operation status of the hydropower project is;

[0059] Step 4: Set the safety determination threshold for the operation status of the hydropower project, obtain the analysis results of the safety production index of the hydropower project, and use the analysis results of the safety production index of the hydropower project to determine whether the operation status of the hydropower project is safe:

[0060] Step 5: When the analysis result of the hydropower project operation status is determined to be safe, jump to the hydropower project safety production situation assessment stage;

[0061] Step 6: When the analysis result of the operation status of the hydropower project is determined to be unsafe, the power generation equipment in the hydropower project is controlled to stop operating, and the power transmission lines in the hydropower project are controlled to be disconnected.

[0062] In this embodiment, through the execution of the method in the above embodiment, multi-party data collection and distributed analysis effects are brought to the hydropower project, ensuring that the daily operation of the hydropower project can be safer and more stable, and the daily operation safety assessment analysis results of the hydropower project are output in a digital form, which is convenient for hydropower project management users to read.

[0063] Embodiment 2:

[0064] In terms of specific implementation, based on Example 1, this example refers to Figure 1 A method for constructing a hydropower project safety production index scoring model based on data-driven technology in Example 1 is further specifically described:

[0065] The configuration information of hydropower projects includes: the power generation of power generation equipment, the deployment location of power generation equipment and the real-time working status of power generation equipment; the energy replacement performance parameters of hydropower projects, i.e., the power conversion efficiency and storage efficiency of each power generation equipment in the hydropower project; the energy consumption data of hydropower projects includes: daily operation energy consumption, power supply loss and real-time power storage;

[0066] Among them, the hydropower project configuration information is manually uploaded to the cloud database by the hydropower project management users, and the hydropower project energy replacement performance parameters and hydropower project energy consumption data are fed back to the cloud database in real time based on network transmission by the power management equipment connected to the power transmission lines in the hydropower project.

[0067] Through the above settings, the contents of hydropower project configuration information, energy replacement performance parameters and transmission project energy consumption data are limited.

[0068] like Figure 1As shown, when the cloud database distinguishes and stores the hydropower project configuration information, energy replacement performance parameters and transmission project energy consumption data, it continuously receives the hydropower project configuration information, energy replacement performance parameters and transmission project energy consumption data based on a specified period, and retrieves the hydropower project configuration information, energy replacement performance parameters and hydropower project energy consumption data stored in the cloud database to respectively evaluate the safety production situation of the hydropower project. The retrieved hydropower project configuration information, energy replacement performance parameters and hydropower project energy consumption data have the same corresponding period and equal quantity.

[0069] Through the above settings, the data content retrieved in step 2 of the method recorded in Example 1 is further limited.

[0070] like Figure 1 As shown, all power generation equipment in the hydropower project is connected to the power transmission line, and the loss generated during the power transmission process is expressed as

[0071] like Figure 1 As shown, after the safety production situation of the hydropower project is evaluated, the evaluation results are simultaneously fed back to the cloud database, and the evaluation results are used to iterate the information, parameters or data corresponding to the evaluation results stored in the cloud database;

[0072] The analysis results of the hydropower project safety production index are sent to the cloud database synchronously after each calculation, and are stored separately from the hydropower project configuration information, energy replacement performance parameters and transmission project energy consumption data in the cloud database.

[0073] Through the above settings, further step execution logic is limited for the method described in Example 1, ensuring that the method processes the collected data more comprehensively during execution.

[0074] In summary, during the execution of the method in the above embodiment, the collection and distributed analysis of multi-party data on the daily operation of the hydropower project brings multi-party data collection and distributed analysis to the hydropower project, and during the execution of the method, the safety of the operating status of the hydropower project is represented by the hydropower project's production safety situation value and the hydropower project's production safety index performance value, so as to provide such digital analysis results to the hydropower project management users, which can facilitate the hydropower project management users to make adaptive decisions more quickly, ensure that the operation of the hydropower project is more stable, and when dealing with safety risk events, the response strategies made are more timely.

[0075] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements will not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for constructing a hydropower project safety production index scoring model based on data-driven technology, characterized in that: include: Step 1: Obtain hydropower project configuration information and energy replacement performance parameters, collect hydropower project energy consumption data, build a cloud database, and place the hydropower project configuration information, energy replacement performance parameters and transmission project energy consumption data in the cloud database for separate storage; Step 2: Retrieve the hydropower project configuration information, energy replacement performance parameters and hydropower project energy consumption data stored in the cloud database to evaluate the safety production situation of the hydropower project: Step 3: Obtain the safety production situation assessment results of the hydropower project, and conduct real-time safety production index analysis on the hydropower project based on the safety production situation assessment results of the hydropower project; Step 4: Set the safety determination threshold for the operation status of the hydropower project, obtain the analysis results of the safety production index of the hydropower project, and use the analysis results of the safety production index of the hydropower project to determine whether the operation status of the hydropower project is safe: Step 5: When the analysis result of the hydropower project operation status is determined to be safe, jump to the hydropower project safety production situation assessment stage; Step 6: When the analysis result of the operation status of the hydropower project is determined to be unsafe, the power generation equipment in the hydropower project is controlled to stop operating, and the power transmission lines in the hydropower project are controlled to be disconnected; The hydropower project configuration information includes: the power generation of the power generation equipment, the deployment location of the power generation equipment and the real-time working status of the power generation equipment, the energy replacement performance parameters of the hydropower project, i.e., the power conversion efficiency and power storage efficiency of each power generation equipment in the hydropower project, and the energy consumption data of the hydropower project includes: daily operation energy consumption, power supply loss, and real-time power storage; Among them, the hydropower project configuration information is manually uploaded to the cloud database by the hydropower project management user, and the hydropower project energy replacement performance parameters and hydropower project energy consumption data are fed back to the cloud database in real time by the power management equipment connected to the power transmission line in the hydropower project based on network transmission; When the configuration information of the hydropower project, the energy replacement performance parameters or the energy consumption data of the hydropower project stored in the cloud database is retrieved to evaluate the safety production situation of the hydropower project, the number of corresponding period groups of the retrieved information, parameters and data is not less than three groups. The logic of the safety production situation evaluation of the hydropower project based on the configuration information level of the hydropower project is expressed as follows: Where: K1 is the safety production situation value at the hydropower project configuration level; p max is the maximum power generation capacity of the power generation equipment; p min is the minimum power generation of the power generation equipment; n is the set of power generation equipment; p i is the power generation capacity of the i-th group of power generation equipment; S max S is the maximum water flow velocity at the location where the power generation equipment is deployed; min S is the minimum water flow velocity in the location where the power generation equipment is deployed; i is the water flow velocity at the deployment location of the i-th group of power generation equipment; T is the operating time of the power generation equipment with the longest continuous operation time in the hydropower project; g is the comprehensive opening and closing frequency of each power generation equipment in the hydropower project; in, Express The average, Express The smaller the safety production situation value K1 at the configuration level of the hydropower project, the safer the hydropower project is based on the configuration information level, and vice versa. The logical representation of the safety production situation assessment of hydropower projects based on the energy replacement performance parameters of hydropower projects is as follows: Where: K2 is the safety production situation value at the level of hydropower project energy replacement performance parameters; m is the set of corresponding periods of hydropower project energy replacement performance parameters used in K2 assessment; w j is the power generation conversion efficiency of the power generation equipment in the energy replacement performance parameters of the hydropower project corresponding to the jth group period; w j+1 is the power generation conversion efficiency of the power generation equipment in the energy replacement performance parameters of the hydropower project corresponding to the j+1th group of cycles; is the variability of power conversion efficiency of the i-th group of power generation equipment; j+1 is the energy storage efficiency of the power generation equipment connected to the power transmission line in the energy replacement performance parameters of the hydropower project corresponding to the j+1th group of cycles; i is the operating time of the i-th group of power generation equipment; The losses generated by connecting the power transmission line of the i-th group of power generation equipment based on m; Among them, the smaller the safety production situation value K2 at the energy replacement performance parameter level of the hydropower project, the safer the hydropower project is based on the energy replacement performance parameter level, and vice versa, it means it is less safe; The logical representation of the safety production situation assessment of hydropower projects based on the energy consumption data of hydropower projects is as follows: Where: K3 is the safety production situation value at the energy consumption data level of hydropower projects; M j is the electricity storage of the hydropower project in the jth period; loss j is the power supply loss of the hydropower project in the jth period; sup j is the daily operation energy consumption of the hydropower project in the jth period; ν j M is the loss incurred in the process of connecting all power generation equipment in the hydropower project of the jth period to the power transmission line; j+1 is the electricity storage of the hydropower project in the j+1th period; loss j+1 is the power supply loss of the hydropower project in the j+1th period; sup j+1 is the daily operation energy consumption of the hydropower project in the j+1th period; ν j+1 Connect all the power generation equipment in the hydropower project of the j+1th group of cycles to the power transmission line, and the losses incurred in the power transmission process; Among them, the safety production situation value K3≤0 at the energy consumption data level of the hydropower project indicates that the hydropower project is safer based on the energy consumption data level, and vice versa.

2. According to a method for constructing a hydropower project production safety index scoring model based on data-driven technology according to claim 1, it is characterized in that: When the cloud database distinguishes and stores the hydropower project configuration information, energy replacement performance parameters and transmission project energy consumption data, it continuously receives the hydropower project configuration information, energy replacement performance parameters and transmission project energy consumption data based on a specified period, and retrieves the hydropower project configuration information, energy replacement performance parameters and hydropower project energy consumption data stored in the cloud database to respectively evaluate the safety production situation of the hydropower project. The retrieved hydropower project configuration information, energy replacement performance parameters and hydropower project energy consumption data have the same corresponding period and equal quantity.

3. The method for constructing a hydropower project safety production index scoring model based on data-driven technology according to claim 1 is characterized in that: All power generation equipment in hydropower projects is connected to power transmission lines, and the loss generated during power transmission is expressed as 4. The method for constructing a hydropower project production safety index scoring model based on data-driven technology according to claim 1 is characterized in that: After the evaluation of the safety production situation of the hydropower project is completed, the evaluation results are synchronously fed back to the cloud database, so that the evaluation results iterate the information, parameters or data corresponding to the evaluation results stored in the cloud database.

5. The method for constructing a hydropower project safety production index scoring model based on data-driven technology according to claim 1 is characterized in that: The safety production index analysis logic of the hydropower project is expressed as follows: K 综 =K1×K2×K3; Where: K 综 It is the performance value of the safety production index of the hydropower project; Among them, the safety production index performance value K of hydropower projects 综 The closer it is to 0, the safer the operation of the hydropower project.

6. The method for constructing a hydropower project safety production index scoring model based on data-driven technology according to claim 1 is characterized in that: The analysis result of the hydropower project production safety index is synchronously sent to the cloud database after each calculation, and is stored separately from the hydropower project configuration information, energy replacement performance parameters and transmission project energy consumption data in the cloud database.

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