Processing method and system for power standard implementation evaluation, equipment and storage medium

Abstract

The embodiment of the invention discloses an electric power standard implementation evaluation processing method and system, equipment and a storage medium, and the method achieves the evaluation of the implementation of a to-be-evaluated electric power standard through a small number of multi-dimensional evaluation indexes based on the current situation of an electric power project of the to-be-evaluated electric power standard application. The method not only reduces the processing pressure when a computer executes an evaluation task and improves the processing speed, but also performs evaluation through technical indexes such as a power grid planning dimension, a power grid operation dimension, a power grid operation dimension and a customer service dimension and commercial indexes such as economic benefits and environmental benefits, and ensures the richness of the indexes and the accuracy of the evaluation effect; and finally, through visual display on a display screen, a user can visually understand changes of indexes or evaluations.

Description

Technical Field

[0001] The present invention relates to the technical field of electric power standards, and in particular to a processing method and system, equipment and storage medium for evaluating the implementation of electric power standards. Background Art

[0002] In order to cope with the challenges brought about by energy transformation and adapt to the new trend of national standardization development, and further strengthen the supporting role of the technical standards system in the construction of new power systems, various standard setters have revised and completed a variety of power implementation standards, such as the "Technical Standards System Table (2024 Edition)" and the "Technical Standards System Table for New Power Systems (2023 Edition)", etc., which include 11 branch fields such as planning and design, engineering construction, equipment and materials, dispatching and trading, operation and maintenance, testing and measurement, safety and environmental protection, technical supervision, digitalization, electricity sales market and marketing, and new energy.

[0003] This provides a reference for managers involved in various technical aspects of power system planning, construction, production, and marketing. It also serves as a query tool for power system personnel, helping them better understand and implement various technical standards. During the revision process, it is necessary to comprehensively screen and review the published enterprise standards, group standards, industry standards, national standards, international standards, and advanced foreign standards, evaluate their implementation, and confirm the benefits generated by the standards to ensure the scientific nature, advancement, and operability of the standards.

[0004] However, the current evaluation of the effectiveness of standard implementation is based on subjective judgment by experts, which results in low manual efficiency. With the assistance of computer equipment, a large amount of summarized data results in high processing pressure on the computer processor and low processing efficiency. Therefore, the current evaluation of implementation effects still has the problem of low processing efficiency. Summary of the Invention

[0005] The main purpose of the present invention is to provide a processing method and system, equipment and storage medium for evaluating the implementation of power standards, which can solve the problem of low processing efficiency of the evaluation of implementation effects in the prior art.

[0006] To achieve the above-mentioned objectives, the present invention provides, in a first aspect, a method for evaluating the implementation of power standards, the method comprising:

[0007] Acquiring actual status data of a target power project, wherein the target power project is a power project applied according to the power standard to be evaluated, and the actual status data is used to indicate the application status of the target power project;

[0008] Determine, using the actual status data and a predetermined evaluation index algorithm, a multidimensional evaluation index of the power standard to be evaluated, wherein the multidimensional evaluation index includes at least a power grid planning dimension index, a power grid operation and maintenance dimension index, a power grid operation dimension index, a customer service dimension index, an economic benefit index, and an environmental benefit index;

[0009] Obtaining a target comprehensive evaluation index for the power standard to be evaluated by utilizing the power grid planning dimension index, power grid operation and maintenance dimension index, power grid operation dimension index, customer service dimension index, economic benefit index, environmental benefit index, and a preset comprehensive evaluation index algorithm;

[0010] Conduct standard evaluation based on target comprehensive evaluation indicators and preset evaluation rules to determine the target evaluation result of the power standard to be evaluated;

[0011] The target evaluation results, multi-dimensional evaluation indicators and the target comprehensive evaluation indicators are visualized to obtain visualization results, and the visualization results are output to a preset display screen for display.

[0012] In one feasible implementation, the evaluation rule includes at least a preset first comprehensive threshold and a preset second comprehensive threshold. If the first comprehensive threshold is greater than the second comprehensive threshold, the standard evaluation is performed according to the target comprehensive evaluation index and the preset evaluation rule to determine the target evaluation result of the power standard to be evaluated, including:

[0013] If the target comprehensive evaluation index is greater than or equal to the first comprehensive threshold, determining the target evaluation result as a first result, the first result is used to indicate that the implementation benefit of the power standard to be evaluated is significant and the recommendation is continued to be valid;

[0014] If the target comprehensive evaluation index is less than the first comprehensive threshold and the target comprehensive evaluation index is greater than or equal to the second comprehensive threshold, determining that the target evaluation result is a second result, the second result is used to indicate that the implementation benefit of the power standard to be evaluated is average and a revision is recommended;

[0015] If the target comprehensive evaluation index is less than the second comprehensive threshold, the target evaluation result is determined to be the second result, and the second result is used to indicate that the implementation effect of the power standard to be evaluated is poor and it is recommended to be abolished.

[0016] In a feasible implementation, the power grid operation and maintenance dimension indicator includes at least the mean time between failures of power equipment, which is used to reflect the average time between failures of power equipment within a specified working time;

[0017] The evaluation index algorithm corresponding to the mean time between failures of the power equipment includes the following mathematical expression:

[0018]

[0019] Wherein, MTBF is the mean time between failures of the power equipment, Ti is the time between the i-th failure, and n is the number of failures. The actual status data includes at least Ti and n.

[0020] In a feasible implementation, the grid operation dimension indicator includes at least an average annual power outage time of users, and the average annual power outage time of users is used to reflect the average power outage time of users due to power outage events in a year;

[0021] The evaluation index algorithm corresponding to the average annual power outage time of users includes the following mathematical expression:

[0022]

[0023] Where SAIDI is the average annual power outage time for users, N i is the number of users affected by the i-th power outage event, D i is the power outage time of the i-th power outage event, n is the number of power outage events in a year, N is the total number of users, and the actual status data also includes N i 、D i , n and N.

[0024] In a feasible implementation, the customer service dimension indicator includes at least a user satisfaction score, which is used to reflect the user's satisfaction evaluation of the power service;

[0025] The evaluation index algorithm corresponding to the user satisfaction score includes the following mathematical expression:

[0026]

[0027] Where CL is the user satisfaction score, S i is the satisfaction score of the i-th user, N is the number of users participating in the evaluation, and the actual status data also includes S i And N.

[0028] In a feasible implementation, the economic benefit indicator includes at least: a line loss rate, which is used to reflect the percentage of line loss power to power supply;

[0029] The evaluation index algorithm corresponding to the line loss rate includes the following mathematical expression:

[0030]

[0031] Where, E is the line loss rate; E 供It refers to the total amount of electricity delivered to users by power supply enterprises through the power grid; E 售 Refers to the amount of electricity actually sold by the power supply enterprise to the user. The actual status data also includes E 供 and E 售 .

[0032] In a feasible implementation, the environmental benefit indicator includes at least a reduction in carbon emissions, and the reduction in carbon emissions is used to reflect the amount of CO2 emissions reduced by the line loss electricity saved before and after the application of the power standard to be evaluated;

[0033] The evaluation index algorithm corresponding to the carbon emission reduction includes the following mathematical expression:

[0034] C=[(E 供1 -E 售1 )-(E 供2 -E 售2 )]·EF;

[0035] Where C is the reduction in carbon emissions;

[0036] E 供1 Refers to the total annual electricity delivered to users through the power grid by the power supply enterprise before the power standard to be evaluated is applied;

[0037] E 售1 Refers to the total annual electricity actually sold to users by the power supply enterprise before applying the electricity standard to be evaluated;

[0038] E 供2 Refers to the total annual electricity volume delivered to users through the power grid by the power supply enterprise after applying the electricity standard to be evaluated;

[0039] E 售2 Refers to the total annual electricity actually sold to users by the power supply enterprise after applying the electricity standard to be evaluated;

[0040] EF is the electricity carbon emission factor;

[0041] The actual status data also includes E 供1 、E 售1 、E 供2 、E 售2 and EF.

[0042] To achieve the above-mentioned object, the second aspect of the present invention provides a processing system for evaluating the implementation of power standards, the system comprising:

[0043] Data acquisition unit: used for collecting actual status data of the target power project and outputting the actual status data to the data storage unit and the data processing unit;

[0044] Data storage unit: used to store the actual state data in a preset database;

[0045] Data processing unit: configured to execute the steps of the method according to any one of claims 1 to 7, and output the visualization results to a data display unit and a data feedback unit;

[0046] A data display unit is configured to receive the visualization result and output the visualization result to a preset display screen for display, so as to visually display the target evaluation result, the multi-dimensional evaluation index and the target comprehensive evaluation index;

[0047] Data feedback unit: used for receiving the real evaluation feedback of the power standard to be evaluated, optimizing the evaluation index according to the real evaluation feedback and the target evaluation result, and obtaining the optimized multi-dimensional evaluation index.

[0048] To achieve the above-mentioned objectives, the third aspect of the present invention provides a computer-readable storage medium storing a computer program. When the computer program is executed by a processor, the processor executes the steps of the method shown in the first aspect and any feasible implementation.

[0049] To achieve the above-mentioned objectives, the fourth aspect of the present invention provides a computer device, comprising a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the processor performs the steps of the method shown in the first aspect and any feasible implementation manner.

[0050] The embodiments of the present invention have the following beneficial effects:

[0051] The present invention provides a processing method for evaluating the implementation of an electric power standard, the method comprising: obtaining actual status data of a target electric power project, the target electric power project being an electric power project applied according to the electric power standard to be evaluated, and the actual status data being used to indicate the application status of the target electric power project; using the actual status data and a predetermined evaluation index algorithm to determine a multidimensional evaluation index of the electric power standard to be evaluated, the multidimensional evaluation index at least including a power grid planning dimension index, a power grid operation and maintenance dimension index, a power grid operation dimension index, a customer service dimension index, an economic benefit index, and an environmental benefit index; using the power grid planning dimension index, the power grid operation and maintenance dimension index, the power grid operation dimension index, the customer service dimension index, the economic benefit index, the environmental benefit index, and a preset comprehensive evaluation index algorithm to obtain a target comprehensive evaluation index of the electric power standard to be evaluated; performing standard evaluation according to the target comprehensive evaluation index and preset evaluation rules to determine a target evaluation result of the electric power standard to be evaluated; visualizing the target evaluation result, the multidimensional evaluation index, and the target comprehensive evaluation index to obtain a visualization result, and outputting the visualization result to a preset display screen for display.

[0052] By adopting the above method, based on the current status of the power projects to which the power standards to be evaluated are applied, the implementation of the power standards to be evaluated can be evaluated with fewer multi-dimensional evaluation indicators. This not only reduces the processing pressure of the computer when performing the evaluation task and improves the processing speed, but also ensures the richness of the indicators and the accuracy of the evaluation results through the evaluation of technical indicators such as grid planning dimension, grid operation and maintenance dimension, grid operation dimension, and customer service dimension and business indicators such as economic benefits and environmental benefits. Finally, through the intuitive display on the display screen, users can also intuitively understand the changes in indicators or evaluations. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0054] in:

[0055] Figure 1 A flowchart of a method for evaluating the implementation of power standards according to an embodiment of the present invention;

[0056] Figure 2 A structural block diagram of a processing system for implementing and evaluating power standards according to an embodiment of the present invention;

[0057] Figure 3 This is a schematic diagram of data display of a data display unit of a processing system for implementing and evaluating power standards according to an embodiment of the present invention;

[0058] Figure 4 4 is a structural block diagram of a computer device in an embodiment of the present invention. DETAILED DESCRIPTION

[0059] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0060] See also Figure 1 , Figure 1This is a flowchart of a processing method for evaluating the implementation of power standards in an embodiment of the present invention. The method can be applied to both terminals and servers. The terminal can be a desktop terminal or a mobile terminal. The mobile terminal can be at least one of a mobile phone, a tablet computer, a laptop computer, etc. The server can be implemented as an independent server or a server cluster composed of multiple servers. This embodiment is described by applying it to a terminal as an example. Figure 1 The method comprises the following steps:

[0061] 101. Acquire actual status data of a target power project, where the target power project is a power project applied according to the power standard to be evaluated, and the actual status data is used to indicate an application status of the target power project;

[0062] 102. Determine multidimensional evaluation indicators of the power standard to be evaluated using the actual status data and a predetermined evaluation indicator algorithm, wherein the multidimensional evaluation indicators include at least a power grid planning dimension indicator, a power grid operation and maintenance dimension indicator, a power grid operation dimension indicator, a customer service dimension indicator, an economic benefit indicator, and an environmental benefit indicator;

[0063] It should be noted that in order to better evaluate the evaluation of power standards, this application evaluates the implementation effect of the power project of the power standard to be evaluated, and pre-screens the most representative evaluation indicators that best reflect the implementation effect from several dimensions of several types of evaluation indicators, and screens out the most representative evaluation indicators related to the implementation effect. This can not only reduce the processing pressure of the processor, but also ensure the accuracy of the evaluation. First, this application pre-determines the evaluation indicators of multiple dimensions to evaluate the implementation effect of the power project, which indirectly reflects the implementation effect of the standard. The multi-dimensional evaluation indicators pre-selected by this application include technical indicators and business indicators, among which the technical indicators include the four most representative evaluation indicators: grid planning dimension, grid operation and maintenance dimension, grid operation dimension, and customer service dimension; the business indicators include the two most representative evaluation indicators: economic benefit indicator and environmental benefit indicator. The corresponding evaluation indicator algorithm is not set for the above six most representative evaluation indicators to calculate the actual indicator data, wherein the calculation parameters required by the evaluation indicator algorithm are calculated by substituting the actual status data of the power project.

[0064] Therefore, in order to determine the actual value of the evaluation index, it is necessary to obtain the actual status data of the target power project. The target power project is a power project applied according to the power standard to be evaluated. The actual status data is used to indicate the application status of the target power project, wherein the actual status data is status data that affects the indicator results.

[0065] For example, the grid planning dimension indicators include network expansion margin EX , network expansion margin E X The corresponding actual status data includes the maximum number of outgoing lines allowed for each node M i 、Each node has the number of outgoing lines L i , the number of nodes n in the power network, and the sum of the maximum number of outgoing lines allowed from all nodes M;

[0066] The grid operation and maintenance dimension indicators include the mean time between failures of power equipment, which can be the mean time between failures of main equipment (MTBF). The main equipment includes generators, transformers, etc. The actual status data corresponding to the mean time between failures of power equipment includes the time between each failure of power equipment (T i , number of failures n;

[0067] The grid operation dimension indicators include the average annual power outage time SAIDI for users. The actual status data corresponding to the average annual power outage time SAIDI includes the number of users N affected by each power outage event. i , the power outage duration of each power outage event D i , the number of power outage events in a year n, the total number of users N;

[0068] Customer service dimension indicators include user satisfaction score CL, and the actual status data corresponding to the user satisfaction score CL includes each user's satisfaction score S i (e.g. 1-5, 5 means very satisfied), the number of users who participated in the evaluation, N;

[0069] The economic benefit indicators include the line loss rate E. The actual status data corresponding to the line loss rate E includes the total amount of electricity E delivered by the power supply enterprise to users through the power grid. 供 , E 供 Including power loss during transmission; the amount of electricity actually sold by the power supply company to the user E 售 ;

[0070] Environmental benefit indicators include carbon emission reduction C. The actual status data corresponding to carbon emission reduction C includes the annual total electricity E delivered to users through the power grid before the power supply company applies the standard. 供1 2. The total annual electricity volume actually sold to users by power supply enterprises before the application of the standard E 售1 2. The total annual electricity E delivered to users through the power grid after the power supply enterprise applies the standard 供2 2. The total annual electricity volume E actually sold to users by power supply companies after applying the standard 售2 , electricity carbon emission factor EF.

[0071] Furthermore, an example of the evaluation index algorithm is as follows:

[0072] (1) Establish the grid planning dimension index, as shown in the following formula (1):

[0073] Network expansion margin

[0074] Among them, M i is the maximum number of outgoing lines allowed for node i, L i is the number of outgoing lines of node i, n is the number of nodes in the power network, M is the sum of the maximum number of outgoing lines allowed for all nodes, and the network expansion margin E X The larger the index is, the greater the flexibility of the power grid in network expansion, the better the application effect of the power grid project, and the better the standard implementation effect.

[0075] (2) Establish grid operation and maintenance dimension indicators, as shown in the following formula (2):

[0076] Mean time between failures of major equipment

[0077] The mean time between failures of power equipment is used to reflect the average time between failures of power equipment within the specified working time. MTBF refers to the average time between two adjacent failures of major equipment within the specified working time. It is an important indicator to measure equipment reliability and failure frequency. i is the time interval between the i-th fault, and n is the number of faults. To reduce the pressure on the processor, only the data of the main equipment, such as transformers and generators, can be obtained.

[0078] (3) Establish the grid operation dimension index, as shown in the following formula (3):

[0079] Average annual power outage time for users

[0080] The average annual power outage time (SAIDI) for users refers to the average power outage time for users due to power outages in one year, measured in hours per household. It is a commonly used indicator for measuring power supply reliability. i is the number of users affected by the i-th power outage event, D i is the outage time of the i-th power outage event, n is the number of power outage events in a year, and N is the total number of users.

[0081] (4) Establish customer service dimension indicators as follows:

[0082] User satisfaction score

[0083] The customer satisfaction score refers to the user satisfaction evaluation of power services collected through questionnaires, user feedback, etc., and quantified according to certain scoring standards. i is the satisfaction score of the i-th user (e.g. 1-5, 5 means very satisfied), and N is the number of users participating in the evaluation.

[0084] (5) Establish economic benefit indicators, as shown in formula (5):

[0085] Line loss rate

[0086] Line loss rate E refers to the percentage of line loss power to power supply, in %;

[0087] E 供 It refers to the total amount of electricity delivered by the power supply enterprise to users through the power grid, including power losses during transmission, in kWh;

[0088] E 售 It refers to the amount of electricity actually sold by the power supply company to users, measured in kWh.

[0089] (6) Establish environmental benefit indicators, as shown in formula (6):

[0090] Carbon emission reduction C=[(E 供1 -E 售1 )-(E 供2 -E 售2 )]·EF;(6)

[0091] The carbon emission reduction C refers to the reduction in CO2 emissions due to the saved line loss electricity before and after the application of the standard, and is expressed in kgCO2 / a.

[0092] E 供1 Refers to the total annual electricity delivered to users through the power grid by power supply companies before the application of the standard, in kWh;

[0093] E 售1 Refers to the total annual electricity actually sold to users by power supply companies before the application of the standard, in kWh;

[0094] E 供2 Refers to the total annual electricity delivered to users through the power grid by power supply companies after applying the standards, in kWh;

[0095] E 售2 Refers to the total annual electricity actually sold to users by power supply companies after applying the standards, in kWh;

[0096] EF is the carbon emission factor of electricity, unit is kgCO / kWh.

[0097] 103. Obtain a target comprehensive evaluation index for the power standard to be evaluated by utilizing the power grid planning dimension index, power grid operation and maintenance dimension index, power grid operation dimension index, customer service dimension index, economic benefit index, environmental benefit index, and a preset comprehensive evaluation index algorithm;

[0098] Furthermore, the target comprehensive evaluation index S of the power standard to be evaluated is determined by using the power grid planning dimension index, the power grid operation and maintenance dimension index, the power grid operation dimension index, the customer service dimension index, the economic benefit index, the environmental benefit index and the preset comprehensive evaluation index algorithm;

[0099] Exemplarily, the preset comprehensive evaluation index algorithm includes the following mathematical expression:

[0100] Establish a comprehensive evaluation index for the implementation effect of the standard, as shown in formula (7):

[0101]

[0102] The comprehensive evaluation index S of the standard implementation effect is an evaluation value that comprehensively considers technical indicators, economic benefits, and environmental benefits.

[0103] E x max is the maximum value of network expansion margin, which can be 30%;

[0104] a represents the weight of network expansion margin in the comprehensive evaluation of standard implementation effect, in %.

[0105] MTBF max The maximum value of the mean time between failures of the equipment can be 8760 hours;

[0106] b represents the weight of the equipment's mean time between failures in the comprehensive evaluation of the standard implementation effect, in %.

[0107] SAIDI min The minimum annual average power outage time for users can be set as 0.01 hours per household;

[0108] c represents the weight of the average annual power outage time of users in the comprehensive evaluation of the implementation effect of the standard, in %.

[0109] CL max The maximum value of user satisfaction score is 5 points;

[0110] d represents the weight of user satisfaction in the comprehensive evaluation of the standard implementation effect, in %;

[0111] E min The minimum line loss rate can be 2%.

[0112] e represents the weight of line loss rate in the comprehensive evaluation of the standard implementation effect, in %.

[0113] C max The reduction in CO2 emissions when the line loss rate drops from a maximum of 15% to a minimum of 2%;

[0114] f is the weight of carbon emission reduction in the comprehensive evaluation of the standard implementation effect, in %.

[0115] 104. Perform standard evaluation according to the target comprehensive evaluation indicators and preset evaluation rules to determine the target evaluation result of the power standard to be evaluated;

[0116] Finally, after obtaining the comprehensive indicators, the standards can be evaluated according to the preset evaluation rules to obtain the target evaluation results, where the target evaluation results are used to reflect the implementation effect of the power standards to be evaluated.

[0117] Exemplarily, the evaluation rule includes at least a preset first comprehensive threshold and a preset second comprehensive threshold, and if the first comprehensive threshold is greater than the second comprehensive threshold, step 104 includes:

[0118] If the target comprehensive evaluation index is greater than or equal to the first comprehensive threshold, the target evaluation result is determined to be the first result, and the first result is used to indicate that the implementation benefits of the power standard to be evaluated are significant, and it is recommended to continue to be valid; for example, when the target comprehensive evaluation index S ≥ the first comprehensive threshold 0.8, the implementation benefits of the standard are significant, and it is recommended to continue to be valid.

[0119] If the target comprehensive evaluation index is less than the first comprehensive threshold value, and the target comprehensive evaluation index is greater than or equal to the second comprehensive threshold value, the target evaluation result is determined to be a second result, and the second result is used to indicate that the implementation benefit of the power standard to be evaluated is average, and revision is recommended; for example, when the second comprehensive threshold value 0.6 ≤ target comprehensive evaluation index S < first comprehensive threshold value 0.8, then the implementation benefit of the standard is average, and revision is recommended;

[0120] If the target comprehensive evaluation index is less than the second comprehensive threshold, the target evaluation result is determined to be the second result, and the second result is used to indicate that the implementation effect of the power standard to be evaluated is poor and it is recommended to be abolished. For example, when the target comprehensive evaluation index S is less than the second comprehensive threshold 0.6, the implementation effect of the standard is poor and it is recommended to be abolished.

[0121] 105. Visualize the target evaluation results, the multi-dimensional evaluation indicators, and the target comprehensive evaluation indicators to obtain visualization results, and output the visualization results to a preset display screen for display.

[0122] Finally, the comprehensive evaluation conclusion of the standard implementation effect, that is, the above-mentioned target evaluation result, can be output to the preset display screen for users to view intuitively. Specifically, the target evaluation result, multi-dimensional evaluation index and the target comprehensive evaluation index are visualized to obtain a visualization result, and the visualization result is output to the preset display screen for display.

[0123] Exemplarily, the visualization process may include the following steps:

[0124] (1) Display the data at the corresponding position on the screen, and convert the data to be displayed, such as evaluation indicators and evaluation results, into a format suitable for processing by visualization tools; the conversion includes but is not limited to standardization, normalization or format conversion of data, such as converting a date string into a date object, and converting a numerical value into a format suitable for a chart;

[0125] (2) Configuring visualization parameters: including 1) Determining the data type: Identifying the data type (such as numerical, categorical, time series, etc.) so as to select the appropriate visualization method; 2) Selecting the visualization method: Selecting the appropriate visualization chart type (such as bar chart, line chart, pie chart, etc.) according to the data type and display purpose; 3) Setting the coordinate axis and scale: defining the range, scale and label of the coordinate axis so that the data can be displayed correctly in the chart; 4) Defining the color and style: setting the visual attributes of the chart such as color, line style, fill pattern, etc. to enhance the readability and aesthetics of the chart.

[0126] (3) Screen mapping and layout: 1) Screen segmentation: Divide the screen into multiple areas or sub-windows based on screen size and display requirements, with each area used to display different data or charts; 2) Position calculation: Calculate the specific position and size of each chart on the screen based on preset layout rules and chart size. This involves methods such as grid layout, absolute positioning, or relative positioning; 3) Coordinate conversion: Convert the coordinates of data points to screen coordinates so that they can be drawn correctly on the screen. This involves coordinate transformation from data space to screen space, such as converting the logical coordinates of a chart to pixel coordinates.

[0127] (4) Data entry and rendering: 1) Data mapping: Map the pre-processed data to the various elements of the chart. For example, in a bar chart, map the data value to the height of the bar; in a line chart, connect the data points into lines. 2) Drawing chart elements: Use computer graphics technology (such as rasterization, vector graphics, etc.) to draw the various components of the chart, including coordinate axes, grid lines, data points, lines, text labels, etc. 3) Rendering output: Combine the drawn chart elements into a complete image and output it to the specified location on the screen. This involves the use of graphics rendering engines such as OpenGL, DirectX, or WebGL.

[0128] (5) Interaction and Update: 1) Event Listening: Set up event listeners to respond to user interactions such as mouse clicks, dragging, and zooming. 2) Data Update: Update data and recalculate chart elements when data changes or when users interact. 3) Dynamic Refresh: Dynamically refresh the chart on the screen as needed to ensure that the displayed data is up to date. This may involve partial updates or full-screen redraws, depending on the scope and frequency of data changes.

[0129] (6) Optimization and Performance Tuning: 1) Performance Monitoring: Monitor performance indicators during the visualization process, such as rendering time and frame rate, to ensure a smooth user experience. 2) Algorithm Optimization: Based on the performance monitoring results, optimize data processing and rendering algorithms to reduce resource consumption and increase rendering speed. 3) Resource Management: Rationally manage graphics resources, such as textures and buffers, to avoid memory leaks and excessive resource usage.

[0130] Through these steps, the computer can accurately display data at the corresponding position on the screen, achieving data visualization. This process involves multiple technologies such as data processing, graphics rendering, and screen management, requiring the comprehensive application of computer graphics, data processing, and user interface design knowledge.

[0131] In one feasible implementation, in order to allow users to intuitively feel the changes in indicators, the change value of each indicator can be used as the current position of each indicator displayed on the screen. In this way, the position of each indicator displayed on the screen can be changed in real time according to the change of the indicator value. In this way, the user can intuitively know which indicator has the largest change. In addition, indicators with large changes can be marked with eye-catching prompts such as color.

[0132] For example, after obtaining the current target evaluation results, the current values of the multi-dimensional evaluation indicators, and the target comprehensive evaluation indicators, visualization processing can be performed through the following steps i, ii, iii, iv, and v:

[0133] i. Obtain the historical values of the multidimensional evaluation indicators and the target comprehensive evaluation indicators calculated last time;

[0134] ii. Calculate the difference between the current value and the previous historical value of each evaluation indicator;

[0135] iii. quantifying the difference to obtain a quantized difference. It is understandable that different indicators have different value ranges. Quantization can quantize different indicators to the same value range, so that comparison can be made on the same scale, which is more fair and accurate.

[0136] iv. Arrange the indicators based on the magnitude relationship of the quantized differences to obtain the current relative display position of each evaluation indicator on the screen; if the indicators are arranged horizontally, the magnitude relationship of the quantized differences is used as the horizontal arrangement order to obtain the current relative display position of the X axis; if the indicators are arranged vertically, the magnitude relationship of the quantized differences is used as the vertical arrangement order to obtain the current relative display position of the Y axis;

[0137] v. Replace the preset relative display position based on the current relative display position to update the current screen layout; then perform position mapping through the determined current relative display position, map each current evaluation indicator to the corresponding relative display position on the screen, and arrange each evaluation indicator on the screen according to the degree of change, so that users can intuitively view the data and be more aware of the changes in the data.

[0138] For example Figure 3 The layout of the screen shown is designed with seven vertically arranged data display positions; the default setting (preset relative display position) is from top to bottom in the order of network expansion margin E x , average failure interval of major equipment, average annual power outage time for users, user satisfaction score, line loss rate, carbon emission reduction, and comprehensive evaluation of the implementation effect of standards.

[0139] Through the above difference calculation, the size relationship of the quantified differences is arranged from large to small, and the size relationship of the quantified differences is determined as follows: the difference in the mean time between failures of the main equipment is the largest, the network expansion margin E is the largest, and the network expansion margin E is the largest. x The difference change is the smallest, the difference change of the average annual power outage time of users ranks second, the difference change of user satisfaction score ranks third, the difference change of line loss rate ranks fourth, the difference change of carbon emission reduction ranks fifth, and the difference change of comprehensive evaluation of standard implementation effect ranks sixth;

[0140] Then, the current relative display position of the Y axis is obtained from top to bottom, which is the average failure interval of major equipment, the average annual power outage time of users, user satisfaction score, line loss rate, carbon emission reduction, comprehensive evaluation of standard implementation effect, network expansion margin E x ;

[0141] Such as Figure 3 The layout of the screen shown is designed with seven vertically arranged data display positions, which will be transformed as follows: from top to bottom, the average failure interval of major equipment, the average annual power outage time of users, user satisfaction score, line loss rate, carbon emission reduction, comprehensive evaluation of standard implementation effect, network expansion margin E x .

[0142] Through the above process, users can know that the indicator with the largest change before and after is the mean time between failures of major equipment, thereby more accurately guiding the revision of standards.

[0143] In one feasible implementation, an interactive button can be preset on the display screen. The user presses the interactive button to issue a standard evaluation request. The computer responds to the standard evaluation request and executes the evaluation processing steps 101 to 105 shown in this application. Finally, the results are fed back to the display screen to inform the customer, so that the evaluation processing can be performed when the user needs it, and the computer processing pressure is further reduced.

[0144] The present invention provides a processing method for evaluating the implementation of an electric power standard, the method comprising: obtaining actual status data of a target electric power project, the target electric power project being an electric power project applied according to the electric power standard to be evaluated, and the actual status data being used to indicate the application status of the target electric power project; using the actual status data and a predetermined evaluation index algorithm to determine a multidimensional evaluation index of the electric power standard to be evaluated, the multidimensional evaluation index at least including a power grid planning dimension index, a power grid operation and maintenance dimension index, a power grid operation dimension index, a customer service dimension index, an economic benefit index, and an environmental benefit index; using the power grid planning dimension index, the power grid operation and maintenance dimension index, the power grid operation dimension index, the customer service dimension index, the economic benefit index, the environmental benefit index, and a preset comprehensive evaluation index algorithm to obtain a target comprehensive evaluation index of the electric power standard to be evaluated; performing standard evaluation according to the target comprehensive evaluation index and preset evaluation rules to determine a target evaluation result of the electric power standard to be evaluated; visualizing the target evaluation result, the multidimensional evaluation index, and the target comprehensive evaluation index to obtain a visualization result, and outputting the visualization result to a preset display screen for display.

[0145] By adopting the above method, based on the current status of the power projects to which the power standards to be evaluated are applied, the implementation of the power standards to be evaluated can be evaluated with fewer multi-dimensional evaluation indicators. This not only reduces the processing pressure of the computer when performing the evaluation task and improves the processing speed, but also ensures the richness of the indicators and the accuracy of the evaluation results through the evaluation of technical indicators such as grid planning dimension, grid operation and maintenance dimension, grid operation dimension, and customer service dimension and business indicators such as economic benefits and environmental benefits. Finally, through the intuitive display on the display screen, users can also intuitively understand the changes in indicators or evaluations.

[0146] See also Figure 2 , Figure 2 FIG. 1 is a structural block diagram of a processing system for evaluating power standards in an embodiment of the present invention. Figure 2 The system shown includes:

[0147] Data acquisition unit 201: used to collect actual status data of the target power project and output the actual status data to the data storage unit and the data processing unit; illustratively, the data acquisition unit collects data such as network expansion margin, average failure interval of major equipment, average annual power outage time of users, user satisfaction score, total amount of electricity delivered to users by the power supply enterprise through the power grid, actual amount of electricity sold to users by the power supply enterprise, and amount of line loss saved and CO2 emissions reduced before and after the application of the standard based on the evaluation standard application project; further, the major equipment includes generators, transformers, etc.; further, the user satisfaction score can be obtained in the form of a table survey.

[0148] Data storage unit 202: used to store the actual state data in a preset database. Exemplarily, the data storage unit stores the data collected by the data collection unit in the database. The data storage unit supports large data storage and can use NoSql database, MySql database, SqlServer or Oracle database.

[0149] Data processing unit 203: used to execute Figure 1 The steps of the method are as follows, and the visualization results are output to the data display unit and the data feedback unit; illustratively, the data processing unit calculates the indicator values at all levels and the comprehensive evaluation indicator values of the standard implementation effect based on indicator formulas such as network expansion margin, average failure interval time of major equipment, average annual power outage time of users, user satisfaction score, line loss rate, and carbon emission reduction, and outputs the comprehensive evaluation conclusion of the standard implementation effect.

[0150] Data display unit 204: is used to receive the visualization results and output the visualization results to a preset display screen for display, so as to visualize the target evaluation results, the multi-dimensional evaluation indicators and the target comprehensive evaluation indicators; for example, the data display unit automatically and intuitively displays the indicators and evaluation conclusions of the implementation effect of the standard on the system interface; Figure 3 , Figure 3 This is a data display schematic diagram of a data display unit of a processing system for implementing and evaluating power standards in an embodiment of the present invention, illustrating a simple screen UI design layout that can be implemented through the visualization processing of step 105 .

[0151] Data Feedback Unit 205: Receives actual evaluation feedback on the power standard to be evaluated, optimizes evaluation indicators based on the actual evaluation feedback and the target evaluation results, and obtains optimized multi-dimensional evaluation indicators. Exemplarily, the data feedback unit compares the actual evaluation results of the standard implementation effect with the evaluation conclusions of the system, and provides feedback on the revised calculation method and judgment rules for the standard implementation effect evaluation indicators, so that the system evaluation conclusions are as close to the actual situation as possible.

[0152] The present invention provides a processing system for evaluating the implementation of power standards. Based on the current status of the power system for the application of published standards, the system evaluates the implementation effect of power standards by establishing technical indicators such as power grid planning dimensions, power grid operation and maintenance dimensions, power grid operation dimensions, and customer service dimensions, as well as business indicators such as economic benefits and environmental benefits. The system then outputs evaluation conclusions, thereby providing a scientific basis for the screening, sorting, and review of power standards and reducing the data processing pressure of the processor.

[0153] Figure 4 FIG1 shows an internal structure diagram of a computer device in an embodiment. The computer device can be a terminal or a server. Figure 4 As shown, the computer device includes a processor, a memory, and a network interface connected via a system bus. The memory includes a non-volatile storage medium and an internal memory. The non-volatile storage medium of the computer device stores an operating system and may also store a computer program. When the computer program is executed by the processor, the processor can implement the above method. The internal memory may also store a computer program. When the computer program is executed by the processor, the processor can implement the above method. It will be understood by those skilled in the art that Figure 4 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than shown in the figure, or combine certain components, or have a different component arrangement.

[0154] In one embodiment, a computer device is provided, comprising a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the processor performs the following Figure 1 Steps of the method shown.

[0155] In one embodiment, a computer-readable storage medium is provided, which stores a computer program. When the computer program is executed by a processor, the processor performs the following steps: Figure 1 Steps of the method shown.

[0156] Those skilled in the art will appreciate that all or part of the processes in the above-mentioned embodiments can be implemented by instructing the relevant hardware through a computer program. The program can be stored in a non-volatile computer-readable storage medium. When the program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0157] The technical features of the above embodiments can be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0158] The above-described embodiments merely represent several implementation methods of the present application. While the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present invention. It should be noted that a person of ordinary skill in the art may make various modifications and improvements without departing from the spirit of the present invention, all of which fall within the scope of protection of the present invention. Therefore, the scope of protection of the present invention shall be determined by the appended claims.

Claims

1. A method for evaluating the implementation of power standards, characterized in that: The method comprises: Acquiring actual status data of a target power project, wherein the target power project is a power project applied according to the power standard to be evaluated, and the actual status data is used to indicate the application status of the target power project; Determine, using the actual status data and a predetermined evaluation index algorithm, a multidimensional evaluation index of the power standard to be evaluated, wherein the multidimensional evaluation index includes at least a power grid planning dimension index, a power grid operation and maintenance dimension index, a power grid operation dimension index, a customer service dimension index, an economic benefit index, and an environmental benefit index; Obtaining a target comprehensive evaluation index for the power standard to be evaluated by utilizing the power grid planning dimension index, power grid operation and maintenance dimension index, power grid operation dimension index, customer service dimension index, economic benefit index, environmental benefit index, and a preset comprehensive evaluation index algorithm; Conduct standard evaluation based on target comprehensive evaluation indicators and preset evaluation rules to determine the target evaluation result of the power standard to be evaluated; The target evaluation results, multi-dimensional evaluation indicators and the target comprehensive evaluation indicators are visualized to obtain visualization results, and the visualization results are output to a preset display screen for display.

2. The method according to claim 1, characterized in that The evaluation rule includes at least a preset first comprehensive threshold and a preset second comprehensive threshold, and if the first comprehensive threshold is greater than the second comprehensive threshold, then the standard evaluation is performed according to the target comprehensive evaluation index and the preset evaluation rule to determine the target evaluation result of the power standard to be evaluated, including: If the target comprehensive evaluation index is greater than or equal to the first comprehensive threshold, determining the target evaluation result as a first result, the first result is used to indicate that the implementation benefit of the power standard to be evaluated is significant and the recommendation is continued to be valid; If the target comprehensive evaluation index is less than the first comprehensive threshold and the target comprehensive evaluation index is greater than or equal to the second comprehensive threshold, determining that the target evaluation result is a second result, the second result is used to indicate that the implementation benefit of the power standard to be evaluated is average and a revision is recommended; If the target comprehensive evaluation index is less than the second comprehensive threshold, the target evaluation result is determined to be the second result, and the second result is used to indicate that the implementation effect of the power standard to be evaluated is poor and it is recommended to be abolished.

3. The method according to claim 1, characterized in that The power grid operation and maintenance dimension indicators include at least the mean time between failures of power equipment, which is used to reflect the average time between failures of power equipment within the specified working hours; The evaluation index algorithm corresponding to the mean time between failures of the power equipment includes the following mathematical expression: Wherein, MTBF is the mean time between failures of the power equipment, Ti is the time between the i-th failure, and n is the number of failures. The actual status data includes at least Ti and n.

4. The method according to claim 1, characterized in that The grid operation dimension indicators include at least the average annual power outage time of users, which is used to reflect the average power outage time of users due to power outage events in a year; The evaluation index algorithm corresponding to the average annual power outage time of users includes the following mathematical expression: Where SAIDI is the average annual power outage time for users, N i is the number of users affected by the i-th power outage event, D i is the power outage time of the i-th power outage event, n is the number of power outage events in a year, N is the total number of users, and the actual status data also includes N i 、D i , n and N.

5. The method according to claim 1, characterized in that: The customer service dimension indicator includes at least a user satisfaction score, which is used to reflect the user's satisfaction evaluation of the power service; The evaluation index algorithm corresponding to the user satisfaction score includes the following mathematical expression: Where CL is the user satisfaction score, S i is the satisfaction score of the i-th user, N is the number of users participating in the evaluation, and the actual status data also includes S i And N.

6. The method according to claim 1, characterized in that The economic benefit indicators include at least: line loss rate, which is used to reflect the percentage of line loss power to power supply; The evaluation index algorithm corresponding to the line loss rate includes the following mathematical expression: Where, E is the line loss rate; E 供 It refers to the total amount of electricity delivered to users by power supply enterprises through the power grid; E 售 Refers to the amount of electricity actually sold by the power supply enterprise to the user. The actual status data also includes E 供 and E 售 .

7. The method according to claim 1, characterized in that: The environmental benefit index includes at least a reduction in carbon emissions, which is used to reflect the amount of CO2 emissions reduced by the amount of line loss electricity saved before and after the application of the electricity standard to be evaluated; The evaluation index algorithm corresponding to the carbon emission reduction includes the following mathematical expression: C=[(E 供1 -AND 售1 )-(AND 供2 -AND 售2 )]·EF; Where C is the reduction in carbon emissions; E 供1 Refers to the total annual electricity delivered to users through the power grid by the power supply enterprise before the power standard to be evaluated is applied; E 售1 Refers to the total annual electricity actually sold to users by the power supply enterprise before applying the electricity standard to be evaluated; E 供2 Refers to the total annual electricity volume delivered to users through the power grid by the power supply enterprise after applying the electricity standard to be evaluated; E 售2 Refers to the total annual electricity actually sold to users by the power supply enterprise after applying the electricity standard to be evaluated; EF is the electricity carbon emission factor; The actual status data also includes E 供1 、E 售1 、E 供2 、E 售2 and EF.

8. A processing system for evaluating the implementation of power standards, characterized in that: The system comprises: Data acquisition unit: used for collecting actual status data of the target power project and outputting the actual status data to the data storage unit and the data processing unit; Data storage unit: used to store the actual state data in a preset database; Data processing unit: configured to execute the steps of the method according to any one of claims 1 to 7, and output the visualization results to a data display unit and a data feedback unit; A data display unit is configured to receive the visualization result and output the visualization result to a preset display screen for display, so as to visually display the target evaluation result, the multi-dimensional evaluation index and the target comprehensive evaluation index; Data feedback unit: used for receiving the real evaluation feedback of the power standard to be evaluated, optimizing the evaluation index according to the real evaluation feedback and the target evaluation result, and obtaining the optimized multi-dimensional evaluation index.

9. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the processor is caused to perform the steps of the method according to any one of claims 1 to 7.

10. A computer device comprising a memory and a processor, characterized in that: The memory stores a computer program, and when the computer program is executed by the processor, the processor is caused to perform the steps of the method according to any one of claims 1 to 7.

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