Power generation group index management system based on tabular format visualization

Abstract

To provide a power generation group class index management system based on tabular format visualization.SOLUTION: A power generation group class index management system includes: an acquisition module that acquires history data in a history time of a power generation group and determines first indices and corresponding first index data on the basis of the history data; a construction module that analyzes the first index data, determines correlation between each first index and the remaining respective first indices, and constructs a correlation matrix; an analysis module that on the basis of the correlation matrix, draws a heat map and analyzes the heat map; and a management module that performs management based on tabular format visualization for a power generation group index on the basis of an analysis result. The power generation group class index management system can improve depth and width of data analysis and analysis efficiency, improve quality and scientific nature of a related management strategy, guarantee safe and stable operation of a power generation group, and improve an economic effect and safety of the power generation group.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The present invention relates to the field of indicator management, in particular to tabular visualization-based Power Generation Group Index Management System Regarding. [Background technology]

[0002] With the development of economy and technology and the improvement of people's living standards, electrical energy has become an indispensable secondary energy in people's production and life, bringing infinite convenience to people's production and life. Therefore, we must analyze data rationally and efficiently, formulate relevant scientific management strategies, and Power Generation Group Ensuring the safe and stable operation of the railway is a technical problem that must be solved urgently by those skilled in the art. Power generation groups accumulate large amounts of historical data, which encompasses multiple dimensions, including equipment operating parameters, production process data, energy consumption data, and maintenance records. This historical data carries important information reflecting the operation status of a power generation group. However, in the past, this data has often been underutilized. Traditional methods have difficulty accurately identifying important primary indicators and their corresponding accurate primary indicator data from the complex historical data. Many potential indicators that play an important role in the operation of a power generation group have not been unearthed, leaving much valuable information buried and unable to provide comprehensive support for subsequent analysis. Traditional analysis methods often rely on manual operations, resulting in cumbersome and inefficient processes from data collection and analysis, making it difficult to quickly respond to the complex and dynamic operating conditions of a power generation group. Furthermore, they cannot provide immediate and effective basis for decision-making, cannot fully consider the mutual influence of each indicator, and therefore cannot achieve refined management of the overall operation of the power generation group. As a result, it is difficult to ensure the safe and stable operation of a power generation group and to achieve the goals of improving economic efficiency and safety.

[0003] Therefore, the present invention is based on tabular visualization. Power Generation Group Index Management System Submit. Summary of the Invention [Problem to be solved by the invention]

[0004] The present invention is based on tabular visualization Power Generation Group Index Management System provide Power Generation Group Determine first indicators and corresponding first indicator data based on the historical data, analyze the first indicator data to determine correlations between the first indicators, construct a correlation matrix, and draw an analysis heat map; Power Generation Group For grade index Visualized management based on a tabular format To improve the reliability and security of data, improve the depth, breadth and efficiency of data analysis, and enhance the quality and scientificity of relevant management strategies. Power Generation Group This will ensure safe and stable operation of the railway, and improve economic efficiency and safety. [Means for solving the problem]

[0005] The present invention is based on tabular visualization Power Generation Group Index Management System provides, including: Power Generation Group Historical Dataan acquiring module for acquiring the first index and determining corresponding first index data based on the historical data; a construction module for analyzing the first index data, determining correlations between each first index and each remaining first index, and constructing a correlation matrix; an analysis module that draws heat maps based on the correlation matrix and analyzes the heat maps; Based on the analysis results Power Generation Group For indicators Visualized management based on a tabular format Management module that performs the following:

[0006] Preferably, it includes: The first index includes a drivability index, an economical index, and a safety index, The first index data includes operation data that satisfies an operation performance index, economic data that satisfies an economic efficiency index, and safety data that satisfies a safety index.

[0007] Preferably, the acquisition module includes: In historical data Power Generation Group a first extraction unit for extracting a response value, a load value, a discharge amount, a charge amount, a voltage value, an input power, and an output power corresponding to an hourly operation time within the N1 days; Based on the response value and load value corresponding to the operation time per hour Combining curves Draw the above Combining curves is the first plot unit, including the response curve and the load curve; The response curve and the load curve are analyzed to determine the synchronous change trend, and the load change occurrence time (LST) is calculated. i1 , the stabilization time after the load change LET i1 , initial response value IRV of load change i1 and initial response time (IRT) i1 , the final response value of the load change FRV i1 and Final Response Time (FRT) i1 a response speed value calculation unit for determining the response speed value corresponding to each daily operation time; First peak value PL1 corresponding to the load curve i1 and the first valley value LV1 i1 Get First peak value, first valley value, discharge amount per hour of operation, and charge amount per hour of operationa peak shaving capacity value calculation unit for calculating a peak shaving capacity value corresponding to a daily operation time based on the peak shaving capacity value; A voltage curve is drawn based on the voltage value corresponding to the operation time per hour, and the second peak value PL1 corresponding to the voltage curve is calculated. i1 and the second valley value LV1 i1 a voltage stability value calculation unit for calculating a voltage stability value corresponding to each daily operation time according to the second peak value, the second valley value and the rated voltage; an energy storage efficiency value calculation unit for calculating a corresponding energy storage efficiency value according to the input power and the output power in one hour of operation; Power Generation Group The serviceability value OI corresponding to the service time on the i1st day of i1 a maneuverability value calculation unit for calculating JPEG2025128006000079.jpg45149, where α1, α2, α3, and α4 are weighting coefficients corresponding to the response speed value, peak shaving capacity value, voltage stability value, and energy storage efficiency value during daily operation hours, respectively. JPEG2025128006000080.jpg17149 is the response speed value on the first day, DC t1 is the discharge amount at the t1 hour within the T1 hour of daily operation, CC t1 represents the amount of charge at the t1th hour within the T1 hour of daily operation, JPEG2025128006000081.jpg28101 is the ratio of the average discharge and charge amounts on the i1st day, JPEG2025128006000082.jpg18142 is the peak cut capacity value on the i1th day, RV is the rated voltage on the i1th day, JPEG2025128006000083.jpg13148 is the voltage stability value on the first day, OE t1 is the output power at time t1 on day il, IE t1 is the input power at time t1 on day i1, JPEG2025128006000084.jpg28163 is the output power at time t1 within time T1 during daily operation, JPEG2025128006000085.jpg17130 is the input power at time t1 within time T1 during daily operation hours, JPEG2025128006000086.jpg20157 represents the energy storage efficiency value on day i1, In historical data Power Generation Group annual investment costs of Annual variable costs of generating electricity , and years of operation are extracted, and the historical data Power Generation Group a second extraction unit for extracting discharge amounts corresponding to hourly operation times within the N2 days; Power Generation Group j) Economic efficiency value EI corresponding to the operation time on the first day j1 An economic value calculation unit for calculating JPEG2025128006000087.jpg24145Here, FC t2 is the second year of operation Fixed costs of power generation , V.C. t2 is the variable cost in the t2th year of operation, R is the discount rate in the operation years, N3 is the operation years, JPEG2025128006000088.jpg2692 is the discharge amount in the t2 year within the operation years, T3 is the number of operating days corresponding to the t2 year within the operation years , JPEG2025128006000089.jpg33106 is the levelized power generation cost value, JPEG2025128006000090.jpg26125 represents the discharge amount on the first day, In historical data Power Generation Group The number of unexpected accidents, the unexpected accident resolution method, and the unexpected accident resolution time corresponding to the daily operation hours within the N4 days. Number of workers , trained Number of workers and total Number of workers a third extraction unit for extracting The number of unexpected accidents during daily operating hours and Number of workers Calculate the corresponding accident rate based on the trained drivers' daily operating hours. Number of workers and total Number of workers an accident rate and safety training coverage rate calculation unit for calculating a corresponding safety training coverage rate based on the accident rate and safety training coverage rate; Based on each unexpected accident during daily operation hours and the corresponding unexpected accident resolution method and unexpected accident resolution time Power Generation Group Emergency Response Capability Assessment Unit, which assesses the emergency response capabilities of the Safety SI is based on the accident rate during daily operating hours, safety training coverage, and emergency response capabilities. k1 A safety value calculation unit to determine the

[0008] Preferably, the acquisition module includes: a sorting unit that sorts the N1 operability values, N2 economy values, and N4 safety values ​​from smallest to largest; an abandonment unit that compares the magnitudes of N1, N2 and N4, determines Nu1=min{N1, N2, N4}, discards the first N1-Nu1 runnability values ​​among the sorted N1 runnability values, discards the first N2-Nu1 economical values ​​among the sorted N2 economical values, and discards the first N4-Nu1 safety values ​​among the sorted N4 safety values; As the operational threshold, 1 remaining Nu Of the drivability values ​​of JPEG2025128006000091.jpg2975th value choice And as the economic threshold, 1 remaining Nu Of the economic value of JPEG2025128006000092.jpg2975th value choice And as a safety threshold, 1 remaining Nu Of the safety values JPEG2025128006000093.jpg2975th value choice do choice units, where [] is the integer symbol, a determination unit for determining historical data above a serviceability threshold as service data, historical data above an economic threshold as economic data, and historical data above a safety threshold as safety data; Here, the operation data, the economic data, and the safety data are the first index data of the corresponding first index.

[0009] Preferably, said building units include: a ranking determination unit for obtaining a first ranking of each drivability value in the operation data, a second ranking of each economic efficiency value in the economic data, and a third ranking of each safety value in the safety data, wherein the ranking is a time and date symbol present in the data that meets the corresponding threshold; From the operational data, economic data, and safety data, respectively JPEG2025128006000094.jpg26103 The L1th operability value, L1th economy value, and L1th safety value are choice The difference between the first and second places is D1 L1 , the difference in second place between the first and third places D2 L1 , the difference in third place between the second and third places is D3 L1 a rank difference calculation unit that calculates JPEG2025128006000095.jpg29149 where R(OI L1 ) is the first ranking of the L1-th serviceability value, R(EI L1 ) is the second ranking of the L1-th economic value, R(SI L1 ) represents the third rank of the L1-th safety value, a correlation calculation unit for calculating a first correlation CV1 between the operability index and the economic index based on all first-order differences, a second correlation CV2 between the operability index and the safety index based on all second-order differences, and a third correlation CV3 between the economic index and the safety index based on all third-order differences; JPEG2025128006000096.jpg77152 where C represents the adjustment factor and Nul has a value greater than 1.

[0010] Preferably, the construction module further comprises: a correlation matrix construction unit for constructing a correlation matrix CM based on the first correlation, the second correlation, and the third correlation; JPEG2025128006000097.jpg22149

[0011] Preferably, the analysis module includes: a setting unit for setting color mapping parameters based on all correlations in the correlation matrix; a plot unit that draws a heat map corresponding to the correlation matrix based on the color mapping parameters and the plot function, and adds row and column labels and a color bar to the heat map; an observation unit for observing the color distribution status, color change trends, and differences between regions in the heat map; An analytical unit that analyzes the strength of correlation between each primary indicator and each of the remaining primary indicators based on the numerical range represented by the color bar.

[0012] Preferably, the management module includes: Based on the strength of correlation between each primary indicator and each of the remaining primary indicators Power Generation Group a formulation unit for formulating relevant management strategies for each of the primary indicators and each of the remaining primary indicators; Based on relevant management strategies Power Generation Group For grade index Visualized management based on a tabular format Management unit that carries out the following: [Effects of the Invention]

[0013] Compared with the prior art, the present application has the following advantageous effects: Power Generation Group Determine first indicators and corresponding first indicator data based on the historical data, analyze the first indicator data to determine correlations between the first indicators, construct a correlation matrix, and draw an analysis heat map; Power Generation Group For grade index Visualized management based on a tabular format To improve the reliability and security of data, improve the depth, breadth and efficiency of data analysis, and enhance the quality and scientificity of relevant management strategies. Power Generation Group This will ensure safe and stable operation of the railway, and improve economic efficiency and safety.

[0014] Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by the practice of the invention. The objectives and other advantages of the invention may be realized and obtained by the structure particularly pointed out in the description and drawings.

[0015] The technical solutions of the present invention will be described in more detail below through drawings and examples. [Brief explanation of the drawings]

[0016] The drawings are provided to provide a further understanding of the invention, constitute a part of the invention, and together with the embodiments thereof, serve to explain the invention and are not to be construed as limiting the invention. [Figure 1] FIG. 1 is a structural diagram of a power generation group index management system based on visualization in a table format according to an embodiment of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0017] DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Preferred embodiments of the present invention will now be described with reference to the accompanying drawings, which are to be construed as illustrative of the present invention and are not to be construed as limiting the present invention. [Example]

[0018] As shown in Figure 1, an embodiment of the present invention is based on tabular visualization. Power Generation Group Index Management System provides, including: Power Generation Group Historical Data an acquiring module for acquiring the first index and determining corresponding first index data based on the historical data; a construction module for analyzing the first index data, determining correlations between each first index and each remaining first index, and constructing a correlation matrix; an analysis module that draws heat maps based on the correlation matrix and analyzes the heat maps; Based on the analysis results Power Generation Group For indicators Visualized management based on a tabular format Management module that performs the following:

[0019] In this example, the first index is Power Generation Group Historical Data The operational performance index, economic efficiency index and safety index are determined based on the above.

[0020] In this embodiment, the first index data is operation data that satisfies the operation performance index in the history data, economic data that satisfies the economy index, and safety data that satisfies the safety index.

[0021] In this embodiment, the correlation matrix is ​​in tabular form: Power Generation Group This visualizes the strength of correlation between each of the first indicators and each of the remaining first indicators.

[0022] In this example, the heat map is Power Generation Group This shows the intuitive distribution and changing trends of the strength of correlation between each primary index and each of the remaining primary indexes.

[0023] In this example, Power Generation Group Based on the corresponding related management strategies formulated according to the strength of correlation between each primary indicator and each of the remaining primary indicators. Power Generation Group For grade index Visualized management based on a tabular format Do the following.

[0024] The advantageous effects of the above technical solution are as follows: Power Generation Group Determine first indicators and corresponding first indicator data based on the historical data, analyze the first indicator data to determine correlations between the first indicators, construct a correlation matrix, and draw an analysis heat map; Power Generation Group For grade index Visualized management based on a tabular format To improve the reliability and security of data, improve the depth, breadth and efficiency of data analysis, and enhance the quality and scientificity of relevant management strategies. Power Generation Group This will ensure safe and stable operation of the railway, and improve economic efficiency and safety. [Example]

[0025] An embodiment of the present invention is based on tabular visualization Power Generation Group Index Management System provides, including: The first index includes a drivability index, an economical index, and a safety index, The first index data includes operation data that satisfies an operation performance index, economic data that satisfies an economic efficiency index, and safety data that satisfies a safety index.

[0026] In this embodiment, the drivability index, the economy index, and the safety index are sorted and discarded based on N1 drivability indexes, N2 economy values, and N4 safety values; and choice It will be confirmed after that.

[0027] In this embodiment, the operational data is historical data above a performance threshold, the economic data is historical data above an economic threshold, and the safety data is historical data above a safety threshold.

[0028] The advantageous effects of the above technical solution are as follows: determining the first indicator and the first indicator data can simplify data analysis and improve the reliability and security of the data; [Example]

[0029] An embodiment of the present invention is based on tabular visualization Power Generation Group Index Management System and the acquisition module includes: In historical data Power Generation Group a first extraction unit for extracting a response value, a load value, a discharge amount, a charge amount, a voltage value, an input power, and an output power corresponding to an hourly operation time within the N1 days; Based on the response value and load value corresponding to the operation time per hour Combining curves Draw the above Combining curves is the first plot unit, including the response curve and the load curve; The response curve and the load curve are analyzed to determine the synchronous change trend, and the load change occurrence time (LST) is calculated. i1 , the stabilization time after the load change LET i1 , initial response value IRV of load change i1 and initial response time (IRT) i1 , the final response value of the load change FRV i1 and Final Response Time (FRT) i1 a response speed value calculation unit for determining the response speed value corresponding to each daily operation time; First peak value PL1 corresponding to the load curve i1 and the first valley value LV i1 Get First peak value, first valley value, discharge amount per hour of operation, and charge amount per hour of operationa peak shaving capacity value calculation unit for calculating a peak shaving capacity value corresponding to a daily operation time based on the peak shaving capacity value; A voltage curve is drawn based on the voltage value corresponding to the operation time per hour, and the second peak value PL1 corresponding to the voltage curve is calculated. i1 and the second valley value LV1 i1 a voltage stability value calculation unit for calculating a voltage stability value corresponding to each daily operation time according to the second peak value, the second valley value and the rated voltage; an energy storage efficiency value calculation unit for calculating a corresponding energy storage efficiency value according to the input power and the output power in one hour of operation; Power Generation Group The serviceability value OI corresponding to the service time on the i1st day of i1 a maneuverability value calculation unit for calculating JPEG2025128006000098.jpg45149, where α1, α2, α3, and α4 are weighting coefficients corresponding to the response speed value, peak shaving capacity value, voltage stability value, and energy storage efficiency value during daily operation hours, respectively. JPEG2025128006000099.jpg17149 is the response speed value on the first day, DC t1 is the discharge amount at the t1 hour within the T1 hour of daily operation, CC t1 represents the amount of charge at the t1th hour within the T1 hour of daily operation, JPEG2025128006000100.jpg28101 is the ratio of the average discharge amount to the charge amount on the first day, JPEG2025128006000101.jpg18142 is the peak cut capacity value on the i1th day, RV is the rated voltage on the i1th day, JPEG2025128006000102.jpg13148 is the voltage stability value on the first day, OE t1 is the output power at time t1 on day il, IE t1 is the input power at time t1 on day i1, JPEG2025128006000103.jpg28163 is the output power at time t1 within time T1 during daily operation hours, JPEG2025128006000104.jpg17130 is the input power at time t1 within time T1 during daily operation hours, JPEG2025128006000105.jpg20157 represents the energy storage efficiency value on day i1, In historical data Power Generation Group annual investment costs of Annual variable costs of generating electricity , and years of operation are extracted, and the historical data Power Generation Group a second extraction unit for extracting discharge amounts corresponding to hourly operation times within the N2 days; Power Generation Group j) Economic efficiency value EI corresponding to the operation time on the first day j1 An economic value calculation unit for calculating JPEG2025128006000106.jpg24145Here, FC t2 is the second year of operation Fixed costs of power generation , V.C. t2 is the variable cost in the t2th year of operation, R is the discount rate in the operation years, N3 is the operation years, JPEG2025128006000107.jpg2692 is the discharge amount in the t2 year within the operation years, T3 is the number of operating days corresponding to the t2 year within the operation years , JPEG2025128006000108.jpg33106 is the levelized power generation cost value, JPEG2025128006000109.jpg26125 represents the discharge amount on the j1st day, In historical data Power Generation Group The number of unexpected accidents, the unexpected accident resolution method, and the unexpected accident resolution time corresponding to the daily operation hours within the N4 days. Number of workers , trained Number of workers and total Number of workers a third extraction unit for extracting The number of unexpected accidents during daily operating hours and Number of workers Calculate the corresponding accident rate based on the trained drivers' daily operating hours. Number of workers and total Number of workers an accident rate and safety training coverage rate calculation unit for calculating a corresponding safety training coverage rate based on the accident rate and safety training coverage rate; Based on each unexpected accident during daily operation hours and the corresponding unexpected accident resolution method and unexpected accident resolution time Power Generation Group Emergency Response Capability Assessment Unit, which assesses the emergency response capabilities of the Safety SI is based on the accident rate during daily operating hours, safety training coverage, and emergency response capabilities. k1 A safety value calculation unit to determine the

[0030] In this example, Power Generation Group The response value and load value for each hour of operation time within N1 days corresponds to one response speed value.

[0031] In this embodiment, the response speed value is Power Generation Group This indicates the speed at which the motor responds to load changes.

[0032] In this example, Power Generation Group The load value, discharge amount, and charge amount per hour of operation within N1 days correspond to one peak shaving capacity value.

[0033] In this embodiment, the peak cut capability value is Power Generation Group This indicates the ability to respond to load fluctuations, especially peak and valley times.

[0034] In this example, Power Generation Group The voltage value for each hour of operation within N1 days corresponds to one stable voltage value.

[0035] In this embodiment, the voltage stability value is Power Generation Group This indicates the power grid's ability to adjust to voltage fluctuations.

[0036] In this example, Power Generation Group The input power and output power per hour of operation within N1 days corresponds to one energy storage efficiency value.

[0037] In this example, the energy storage efficiency value is Power Generation Group This shows the energy storage and release efficiency of the energy storage device.

[0038] In this example, Power Generation Group The operational performance value for one day's operation hours is determined by the response speed value, peak cutting capacity value, voltage stability value and energy storage efficiency value for that day.

[0039] In this embodiment, the driveability value is Power Generation Group It is used to evaluate the operational efficiency during the operation hours.

[0040] In this embodiment, this corresponds to one operability value per day within the N1 days.

[0041] In this embodiment, the levelized power generation cost value is calculated by dividing the discharge amount for all years within the operation years by the discharge amount for all years within the operation years. Fixed costs of power generation , determined by the variable costs and the corresponding discount rates.

[0042] In this embodiment, the levelized cost of electricity generation indicates the total cost per unit amount of electricity over the entire generation cycle.

[0043] In this example, Power Generation Group The economic value for one day's operation time is determined by the levelized power generation cost value and the discharge amount for that day.

[0044] In this example, the economic value is Power Generation Group It is used to evaluate the economic effect of the operation hours.

[0045] In this example, this corresponds to one economic value per day within N2 days.

[0046] In this example, Power Generation Group The safety value for the operation time within one day is determined by the accident rate, safety training coverage rate and emergency response capability on the same day.

[0047] In this embodiment, the emergency response capability is Power Generation Group Demonstrate the ability to respond to unexpected incidents.

[0048] In this example, the safety value is Power Generation Group It is used to evaluate the safety management level during operation hours.

[0049] In this example, N corresponds to one safety value per day within 4 days.

[0050] The advantageous effects of the above technical solutions are as follows: Power Generation Group By calculating the operability value, economic value, and safety value corresponding to the specified operation time, it is possible to check the operation status of the equipment and system, evaluate the power generation cost, and check the safety status and personnel safety status during the operation period of the equipment and system. [Example]

[0051] An embodiment of the present invention is based on tabular visualization Power Generation Group Index Management System and the acquisition module includes: a sorting unit that sorts the N1 operability values, N2 economy values, and N4 safety values ​​from smallest to largest; an abandonment unit that compares the magnitudes of N1, N2 and N4, determines Nu1=min{N1, N2, N4}, discards the first N1-Nu1 runnability values ​​among the sorted N1 runnability values, discards the first N2-Nu1 economical values ​​among the sorted N2 economical values, and discards the first N4-Nu1 safety values ​​among the sorted N4 safety values; As the operational threshold, 1 remaining Nu Of the drivability values ​​of JPEG2025128006000110.jpg2975th value choice And as the economic threshold, 1 remaining Nu Of the economic value of JPEG2025128006000111.jpg2975th value choice And as a safety threshold, 1 remaining Nu Of the safety values JPEG2025128006000112.jpg2975th value choice do choice units, where [] is the integer symbol, a determination unit for determining historical data above a serviceability threshold as service data, historical data above an economic threshold as economic data, and historical data above a safety threshold as safety data; Here, the operation data, the economic data, and the safety data are the first index data of the corresponding first index.

[0052] In this embodiment, the mobility threshold is choice do 1 remaining Nu The economic threshold is determined by the operability value of choice do 1 remaining Nu The safety threshold is determined by the economic value of choice do 1 remaining Nu The safety value is determined by the

[0053] In this embodiment, the number of driveability values, economy values ​​and safety values ​​is unified by the abandonment unit.

[0054] In this embodiment, the driving data is determined by a driving threshold of the driving performance index, the economic data is determined by an economic threshold of the economic performance index, and the safety data is determined by a safety threshold of the safety index.

[0055] The advantageous effects of the above technical solution are as follows: based on all the operational values, economical values, and safety values, the corresponding operational thresholds and operational data, economical thresholds and economical data, and safety thresholds and safety data can be determined, which can improve the reliability and safety of data and further improve the scientificity of management decision-making. [Example]

[0056] An embodiment of the present invention is based on tabular visualization Power Generation Group Index Management System wherein the construction module includes: a ranking determination unit for obtaining a first ranking of each drivability value in the operation data, a second ranking of each economic efficiency value in the economic data, and a third ranking of each safety value in the safety data, wherein the ranking is a time and date symbol present in the data that meets the corresponding threshold; From the operational data, economic data, and safety data, respectively JPEG2025128006000113.jpg26103 is used to calculate the L1th operability value, L1th economy value, and L1th safety value. choice The difference between the first and second places is D1 L1 , the difference in second place between the first and third places D2 L1 , the difference in third place between the second and third places is D3 L1 a rank difference calculation unit that calculates JPEG2025128006000114.jpg29149 where R(OI L1 ) is the first ranking of the L1-th serviceability value, R(EI L1 ) is the second ranking of the L1-th economic value, R(SI L1 ) represents the third rank of the L1-th safety value, a correlation calculation unit for calculating a first correlation CV1 between the operability index and the economic index based on all first-order differences, a second correlation CV2 between the operability index and the safety index based on all second-order differences, and a third correlation CV3 between the economic index and the safety index based on all third-order differences; JPEG2025128006000115.jpg77152 where C represents the adjustment factor and Nul has a value greater than 1.

[0057] In this embodiment, the first priority is the time and date symbol present in the operational data that satisfies the operational threshold, the second priority is the time and date symbol present in the economic data that satisfies the economic threshold, and the third priority is the time and date symbol present in the safety data that satisfies the safety threshold.

[0058] In this embodiment, the L1 drivability value and the L1 economy value correspond to the L1 first-order difference, the L1 drivability value and the L1 safety value correspond to the L1 second-order difference, and the L1 economy value and the L1 safety value correspond to the L1 third-order difference.

[0059] In this embodiment, the first correlation indicates the strength and direction of the non-linear correlation between the operational data meeting the operational threshold and the economic data meeting the economic threshold.

[0060] In this embodiment, the second correlation indicates the strength and direction of the non-linear correlation between the operational data meeting the operational threshold and the safety data meeting the safety threshold.

[0061] In this embodiment, the third correlation indicates the strength and direction of the non-linear correlation between the economic data meeting the economic threshold and the safety data meeting the safety threshold.

[0062] The advantageous effects of the above technical solution are as follows: calculating the correlation between each primary indicator and each of the remaining primary indicators based on operation data, economic data, and safety data provides data support for constructing a correlation matrix, determining the potential connections and mutual influences between all indicators, and improving the efficiency and accuracy of data collection. [Example]

[0063] An embodiment of the present invention is based on tabular visualization Power Generation Group Index Management System wherein the construction module further comprises: a correlation matrix construction unit for constructing a correlation matrix CM based on the first correlation, the second correlation, and the third correlation; JPEG2025128006000116.jpg22149

[0064] In this embodiment, the correlation matrix is ​​a symmetric matrix, Power Generation Group Measure the correlation between the first indicators.

[0065] The advantageous effects of the above technical solution are as follows: A correlation matrix is ​​constructed based on the correlation between each first index and each of the remaining first indexes in a table format. Power Generation Group It visualizes correlations between class indicators, provides data support for creating heat maps, and increases the depth and breadth of data analysis. [Example]

[0066] An embodiment of the present invention is based on tabular visualization Power Generation Group Index Management System wherein the analysis module includes: a setting unit for setting color mapping parameters based on all correlations in the correlation matrix; a plot unit that draws a heat map corresponding to the correlation matrix based on the color mapping parameters and the plot function, and adds row and column labels and a color bar to the heat map; an observation unit for observing the color distribution status, color change trends, and differences between regions in the heat map; An analytical unit that analyzes the strength of correlation between each primary indicator and each of the remaining primary indicators based on the numerical range represented by the color bar.

[0067] In this embodiment, color mapping parameters are set to map all correlations to different colors to indicate the strength or density of the data.

[0068] In this example, the plot function calls the heatmap function in the seaborn library, or may use other functions.

[0069] In this embodiment, row and column labels are added to the heat map to correspond to the correlation values ​​in the correlation matrix.

[0070] In this example, the color bar shows the range of values ​​represented by the colors used in the heatmap.

[0071] The advantageous effects of the above technical solution are as follows: by drawing a heat map based on the correlation matrix, the correlation between all indicators can be visualized, improving the analysis efficiency; by analyzing the heat map, the important relationships between all indicators can be identified, and the selection of features can be guided; Power Generation Group can provide support and guidance in formulating relevant management strategies. [Example]

[0072] An embodiment of the present invention is based on tabular visualization Power Generation Group Index Management System wherein the management module includes: Based on the strength of correlation between each primary indicator and each of the remaining primary indicators Power Generation Group a formulation unit for formulating relevant management strategies for each of the primary indicators and each of the remaining primary indicators; Based on relevant management strategies Power Generation Group For grade index Visualized management based on a tabular format Management unit that carries out the following:

[0073] In this embodiment, if the correlation between the operational performance index and the economic performance index is relatively strong, the economic performance index can be improved while ensuring the operational performance of the equipment by optimizing the utilization rate of the equipment and implementing precision management.

[0074] In this embodiment, when the correlation between the operation performance index and the economic performance index is relatively weak, the operation performance index can be improved by strengthening the reliability of the equipment and increasing the service level, while at the same time indirectly affecting the economic performance index.

[0075] In this embodiment, if the correlation between the operability index and the safety index is relatively strong, the safety index can be improved by strengthening preventive maintenance of the equipment and optimizing personnel training, while ensuring reliable operation of the equipment.

[0076] In this embodiment, if the correlation between the operability index and the safety index is relatively weak, the safety index can be improved by methods such as strengthening the reliability of the equipment and optimizing the safety management system, and at the same time, the operability index can be indirectly affected.

[0077] In this embodiment, if the correlation between the economic indicators and the safety indicators is relatively strong, the safety indicators can be guaranteed while maximizing the economic benefits by investing in improving safety facilities and strengthening training and supervision.

[0078] In this embodiment, if the correlation between the economic indicators and the safety indicators is relatively weak, factors such as cost effectiveness and investment in safety can be comprehensively considered, and a comprehensive management strategy can be formulated to balance the relationship between safety and economic indicators.

[0079] In this example, Power Generation Group The management is based on the corresponding related management strategy that is formulated based on the strength of the correlation between each primary indicator and each of the remaining primary indicators.

[0080] The advantageous effects of the above technical solutions are as follows: Based on the analysis results of the heat map Power Generation Group Performed for class indicators Visualized management based on a tabular format can reduce information redundancy, accelerate the formulation of data-driven related management strategies, and improve the quality of related management strategies.

[0081] Obviously, those skilled in the art can make various modifications and variations to the present invention without departing from the spirit and scope of the present invention. Thus, it is believed that these modifications and variations of the present invention are within the scope of the claims of the present invention and their equivalents, and the present invention also intends to include these modifications and variations.

[0082] Finally, it should be noted that the above embodiments are used only to explain the technical solutions of the present invention, and are not intended to limit the same. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art may still modify the technical solutions described in the above embodiments, or may substitute or combine some or all of the technical features therein. For example, the features of the dependent claims may be freely substituted and / or combined as needed. Furthermore, these modifications or substitutions do not deviate from the essence of the corresponding technical solutions from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A power generation group-level indicators management system based on tabular visualization, comprising: an acquiring module for acquiring historical data of the power generation group in a historical time, and determining a first index and corresponding first index data based on the historical data; a construction module for analyzing the first index data, determining correlations between each first index and each remaining first index, and constructing a correlation matrix; an analysis module that draws heat maps based on the correlation matrix and analyzes the heat maps; a management module that performs management based on tabular visualization of power generation group indicators based on the analysis results; Wherein the acquisition module includes: a first extraction unit for extracting a response value, a load value, a discharge amount, a charge amount, a voltage value, an input power, and an output power corresponding to an hourly operation time within N1 days of the power generation group in the history data; a first plotting unit for plotting a hyperbola based on the response value and the load value corresponding to the operation time per hour, wherein the hyperbola includes a response curve and a load curve; The response curve and the load curve are analyzed to determine the synchronous change tendency, and the load change occurrence time (LST) is calculated. ｉ１ , the stabilization time after the load change LET ｉ１ , initial response value IRV of load change ｉ１ and initial response time IRT ｉ１ , the final response value FRV of the load change ｉ１ and Final Response Time (FRT) ｉ１ a response speed value calculation unit for determining the response speed value corresponding to each daily operation time; First peak value PL1 corresponding to the load curve ｉ１ and the first valley value LV1 ｉ１ and a peak shaving capacity value calculation unit that calculates a peak shaving capacity value corresponding to daily operation hours based on the first peak value, the first valley value, and the discharge amount and charge amount in one hour of operation time; A voltage curve is drawn based on the voltage value corresponding to the operation time per hour, and a second peak value PL2 corresponding to the voltage curve is calculated. ｉ１ and the second valley value LV2 ｉ１ and a voltage stability value calculation unit for calculating a voltage stability value corresponding to each daily operation time according to the second peak value, the second valley value, and the rated voltage. an energy storage efficiency value calculation unit for calculating a corresponding energy storage efficiency value according to the input power and the output power in one hour of operation; The operational value OI corresponding to the operation time of the power generation group on the i1st day ｉｌ a maneuverability value calculation unit for calculating where α1, α2, α3, and α4 are weighting coefficients corresponding to the response speed value, peak shaving capability value, voltage stability value, and energy storage efficiency value during daily operation hours, respectively. is the response speed value on the i1st day, DC ｔ１ is the discharge amount at the t1 hour within the T1 hour of daily operation, CC ｔ１ represents the amount of charge at the t1th hour within the T1th hour of daily operation, is the ratio of the average discharge and charge amounts on the i1st day, is the peak cut capacity value on the i1th day, RV is the rated voltage on the i1th day, is the voltage stability value on the i1st day, OE ｔ１ is the output power at time t1 on the il day, IE ｔ１ is the input power at the t1st hour on the i1st day, is the output power at the t1 hour within the T1 hour of daily operation, is the input power at the t1 hour within the T1 hour of daily operation, represents the energy storage efficiency value on day i; a second extraction unit for extracting an annual investment cost, an annual variable cost, and an operation period of the power generation group from the historical data, and extracting a discharge amount corresponding to an operation time per hour within N2 days of the power generation group from the historical data; The economic value EI corresponding to the operation time of the power generation group j on the first day ｊ１ An economic value calculation unit for calculating Here, F.C. ｔ２ is the fixed cost in the t2nd year of operation, VC ｔ２ is the variable cost in the t2nd year of operation, R is the discount rate in the operation years, N3 is the operation years, is the discharge amount in the t2 year within the years of operation, T3 is the number of days corresponding to the t2 year within the years of operation, is the levelized power generation cost value, represents the discharge amount on the j1st day, a third extraction unit for extracting the number of unexpected accidents, the unexpected accident resolution method, the unexpected accident resolution time, the number of employees, the number of trained employees, and the total number of employees corresponding to the daily operation hours of the power generation group within N4 days in the historical data; an accident rate and safety training coverage rate calculation unit for calculating a corresponding accident rate based on the number of unexpected accidents and the number of employees during daily operating hours, and calculating a corresponding safety training coverage rate based on the number of trained employees and the total number of employees during daily operating hours; an emergency response capability evaluation unit for evaluating the emergency response capability of the power generation group based on each unexpected accident during daily operation hours and the corresponding unexpected accident resolution method, and the unexpected accident resolution time; The corresponding safety score SI is based on the accident rate during daily operating hours, safety training coverage, and emergency response capabilities. ｋ１ a safety value calculation unit for determining the The first index includes a drivability index, an economical index, and a safety index, The first index data includes operation data satisfying an operation performance index, economic data satisfying an economic efficiency index, and safety data satisfying a safety index, The acquisition module includes: a sorting unit for sorting the N1 drivability values, the N2 economy values, and the N4 safety values ​​from smallest to largest; an abandonment unit that compares the magnitudes of N1, N2 and N4, determines Nu1=min{N1, N2, N4}, discards the first N1-Nu1 maneuverability values ​​among the sorted N1 maneuverability values, discards the first N2-Nu1 economic efficiency values ​​among the sorted N2 economic efficiency values, and discards the first N4-Nu1 safety values ​​among the sorted N4 safety values; As the mobility threshold, among the discarded Nu1 mobility values, The th value is filtered, and the economic threshold is set to the value of the discarded Nu1 economic values. The th value is filtered and the safety threshold is set to the value of the discarded Nu1 safety values. The filtering unit that filters the th value, where [] is the integer symbol, a determination unit for determining historical data above a serviceability threshold as service data, historical data above an economic threshold as economic data, and historical data above a safety threshold as safety data; Here, the operation data, the economic data, and the safety data are the first index data of the corresponding first indexes, The construction module includes: a ranking determination unit for obtaining a first ranking of each drivability value in the operation data, a second ranking of each economic efficiency value in the economic data, and a third ranking of each safety value in the safety data, wherein the ranking is a time and date symbol present in the data that meets the corresponding threshold; From the operational data, economic data, and safety data, respectively The L1-th operability value, the L1-th economy value, and the L1-th safety value that satisfy the above are filtered, and the first-rank difference D1 between the first and second ranks is calculated. Ｌ１ , the difference in second place between the first and third places D2 Ｌ１ , the difference in third place between the second and third places D3 Ｌ１ a rank difference calculation unit that calculates Here, R(OI Ｌ１ ) is the first ranking of the L1-th runnability value, R(EI Ｌ１ ) is the second ranking of the L1-th economic value, R(SI Ｌ１ ) represents the third rank of the L1 safety value, a correlation calculation unit for calculating a first correlation CV1 between the operability index and the economic index based on all first-rank differences, a second correlation CV2 between the operability index and the safety index based on all second-rank differences, and a third correlation CV3 between the economic index and the safety index based on all third-rank differences; where C represents an adjustment factor and the value of Null is greater than 1. The construction module further comprises: a correlation matrix construction unit for constructing a correlation matrix CM based on the first correlation, the second correlation, and the third correlation; A power generation group-level indicator management system based on the tabular visualization.

2. The analysis module includes: a setting unit for setting color mapping parameters based on all correlations in the correlation matrix; a plot unit that draws a heat map corresponding to the correlation matrix based on the color mapping parameters and the plot function, and adds row and column labels and a color bar to the heat map; an observation unit for observing the color distribution status, color change trends, and differences between regions in the heat map; An analysis unit that analyzes the strength of correlation between each first indicator and each of the remaining first indicators based on the numerical range represented by the color bar, and a power generation group-level indicator management system based on tabular visualization as described in claim 1.

3. The management module includes: a formulation unit that formulates a related management strategy corresponding to each of the first indicators of the power generation group and each of the remaining first indicators based on the strength of correlation between each of the first indicators and each of the remaining first indicators; The power generation group-level indicators management system based on tabular visualization according to claim 1, further comprising a management unit for performing tabular visualization-based management on power generation group-level indicators according to relevant management strategies.

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