An electrical equipment operating status monitoring system

Abstract

The present invention relates to the technical field of electrical equipment operation data processing, and in particular to an electrical equipment operation status monitoring system, comprising: an information acquisition module for acquiring the operation information, environmental information and weather information of the electrical equipment in real time; a time period division module for dividing the time periods to obtain the operation time periods; a time period analysis module for classifying the operation time periods to obtain the time period categories, and also for analyzing the time period characteristic parameters; a weather analysis module for analyzing the sunrise parameters and the sunset parameters; a history analysis module for analyzing the peak characteristic parameters, the normal characteristic parameters and the history characteristic parameters; an operation analysis module for analyzing the operation characteristic parameters and analyzing the operation status of the electrical equipment; and a status output module for outputting the operation status of the electrical equipment. The present invention realizes accurate monitoring of the operation status of the electrical equipment.

Description

Technical Field

[0001] The present invention relates to the technical field of electrical equipment operation data processing, and in particular to an electrical equipment operation status monitoring system. Background Art

[0002] With the growth of demand for new energy, photovoltaic generators have gradually become an important part of clean energy. To ensure their efficient and stable operation, it is necessary to monitor the various operating parameters of the generator in real time, such as power generation, power generation efficiency and environmental parameters. This technology involves data collection, transmission and processing, and aims to prevent failures, improve operating efficiency and reduce maintenance costs. It is an important guarantee for promoting the development of photovoltaic power generation technology.

[0003] Chinese Patent Publication No.: CN117764223A discloses a photovoltaic operation method and system, including: by acquiring historical data and constructing a photovoltaic operation status analysis model, and training the photovoltaic operation status analysis model according to historical data, a photovoltaic operation status analysis model with photovoltaic operation status recognition capability can be obtained, so that the photovoltaic operation status analysis model can be used to analyze photovoltaic operation data, realize photovoltaic operation status monitoring, and enable different preset strategies according to the monitoring results. The invention realizes the analysis of photovoltaic operation status according to photovoltaic historical operation data and fault information, but does not realize the comprehensive analysis of photovoltaic equipment operation status according to the distribution of equipment operation data, operation environment data, and illumination data and operation data in each time period of each day in photovoltaic power generation. There are problems of low efficiency in analyzing equipment operation data in photovoltaic power generation and inaccurate analysis of equipment operation status. Summary of the invention

[0004] To this end, the present invention provides an electrical equipment operation status monitoring system to overcome the problems of low efficiency in analyzing equipment operation data in photovoltaic power generation and inaccurate equipment operation status analysis in the prior art.

[0005] To achieve the above object, the present invention provides an electrical equipment operating status monitoring system, comprising:

[0006] Information acquisition module, used to obtain real-time operation information, environmental information and weather information of electrical equipment;

[0007] A time period division module is used to divide the operation information and environmental information of the electrical equipment into time periods to obtain the operation time periods;

[0008] A time period analysis module is used to classify the operation time period according to the environmental information to obtain the time period category, and is also used to analyze the time period characteristic parameters according to the operation information, environmental information and the operation time period;

[0009] A weather analysis module, used to analyze sunrise parameters and sunset parameters according to weather information;

[0010] A historical analysis module, for storing time period categories, time period characteristic parameters, sunrise parameters and sunset parameters to obtain historical data, and for analyzing historical daily categories, and for analyzing peak characteristic parameters, normal characteristic parameters and historical characteristic parameters according to historical daily categories and historical data;

[0011] An operation analysis module is used to analyze the operation characteristic parameters according to the time period category, time period characteristic parameters, peak characteristic parameters, normal characteristic parameters and historical characteristic parameters, and to analyze the operation status of the electrical equipment;

[0012] The status output module is used to output the operating status of electrical equipment.

[0013] Furthermore, the time period division module divides the operation information and environmental information of the electrical equipment into time periods according to the preset analysis cycle, divides each preset analysis cycle in a day into an operation period, and numbers the operation periods in chronological order to obtain the time period number, and sets the time period number to i, i∈N + And i≤1440 / T, where T represents the duration of the preset analysis cycle.

[0014] Furthermore, the time period analysis module is provided with a time period classification unit, which is used to compare the solar irradiance with the irradiance threshold and classify the operating time period according to the comparison result, wherein:

[0015] When AE(i)<ae1, the time period classification unit determines that the time period category of the current operating time period is one category;

[0016] When ae1≤AE(i)≤ae2, the time period classification unit determines that the time period category of the current operating time period is the second category;

[0017] When AE(i)>ae2, the time period classification unit determines that the time period category of the current operating time period is the third category;

[0018] Wherein, ae1 represents the first irradiance threshold, and ae2 represents the second irradiance threshold.

[0019] Furthermore, the time period analysis module is further provided with a time period analysis unit, which is used to analyze the time period characteristic parameters according to the time period output power, the time period ambient temperature, the time period solar irradiance and the operating time period through the time period analysis formula, and the time period analysis unit is provided with the time period analysis formula as follows:

[0020] ,

[0021] Where AP(i) represents the output power in the time period, P(i,j) represents the output power, j represents the time node number, j∈N + And j≤T, AW(i) represents the ambient temperature of the time period, W(i,j) represents the ambient temperature, and E(i,j) represents the solar irradiance.

[0022] Furthermore, the weather analysis module analyzes the sunrise parameters and sunset parameters according to the sunrise time and the sunset time, sets the sunrise parameter to R1, and the sunset parameter to R2, and sets R1=[t1×60+t2] / T, R2=[t3×60+t4] / T, wherein R1 represents the sunrise parameter, R1 is rounded down, t1 represents the hour part value of the sunrise time, t2 represents the minute part value of the sunrise time, R2 represents the sunset parameter, R2 is rounded down, t3 represents the hour part of the sunset time, and t4 represents the minute part of the sunset time.

[0023] Furthermore, the historical analysis module is provided with a historical classification unit, which is used to count the number of operating time periods with three time period categories in the historical data every day as the daily peak number, and analyze the historical daily categories according to the daily peak number, wherein:

[0024] When N1(d)≤α×1440 / T, the historical classification unit determines that the historical daily category corresponding to the current day in the historical data is one category;

[0025] When N1(d)>α×1440 / T, the historical classification unit determines that the historical daily category corresponding to the current day in the historical data is the second category;

[0026] Among them, N1(d) represents the daily peak number, d represents the historical day number, and d∈N + , α represents the classification comparison threshold.

[0027] Furthermore, the historical analysis module is further provided with a peak analysis unit, which is used to calculate the peak characteristic parameters through a peak analysis formula according to the historical data of the historical daily category 2, and the peak analysis unit is provided with a peak analysis formula as follows:

[0028] ,

[0029] Wherein, M1 represents the peak characteristic parameter, AE(d2,i3) represents the solar irradiance of the period with historical daily category of Category II and period category of Category III in the historical data, d2 represents the number of historical days with historical daily category of Category II, d2∈d, i3 represents the number of period category of Category III, R2(d2) represents the sunset parameter of historical daily category of Category II in the historical data, R1(d2) represents the sunrise parameter of historical daily category of Category II in the historical data, ND2 represents the number of historical data with historical daily category of Category II;

[0030] The historical analysis module is further provided with a normal analysis unit, which is used to calculate the normal characteristic parameters through a normal analysis formula according to the historical data of the historical daily category 2. The normal analysis unit is provided with a normal analysis formula as follows:

[0031] ,

[0032] Among them, M2 represents the normal characteristic parameter, and AE(d2,i2) represents the solar irradiance in the period of historical data when the historical daily category is Class II and the period category is Class II;

[0033] The historical analysis module is further provided with a historical analysis unit, which is used to calculate historical characteristic parameters according to historical data through a historical analysis formula. The historical analysis unit is provided with a historical analysis formula as follows:

[0034] ,

[0035] ,

[0036] Among them, H represents the historical characteristic parameter, and BE(d2) represents the daily peak mean.

[0037] Furthermore, the operation analysis module is provided with an operation analysis unit, which is used to calculate the operation characteristic parameters according to the period characteristic parameters, the peak characteristic parameters and the normal characteristic parameters through the operation analysis formula, and the operation analysis unit is provided with the operation analysis formula as follows:

[0038] G(i)=F(i) / [(R2-R1)×ln(M1-M2)];

[0039] Among them, G(i) represents the operating characteristic parameters.

[0040] Furthermore, the operation analysis module is further provided with an operation adjustment unit, which is used to adjust the analysis process of the operation characteristic parameters according to the rated characteristic parameters, wherein:

[0041] If the time period category of the current operation time period is one category, the operation adjustment unit does not adjust the analysis process of the operation characteristic parameters;

[0042] If the time period category of the current operation period is the second category and X(i)>ae1, the operation adjustment unit adjusts the analysis process of the operation characteristic parameter, and the adjusted operation characteristic parameter is G1(i), and G1(i)=G(i)×X(i) / E(i,j) is set max ;

[0043] If the time period category of the current operation time period is the second category and X(i)≤ae1, the operation adjustment unit does not adjust the analysis process of the operation characteristic parameters;

[0044] If the time period category of the current operation period is the third category and X(i)>ae2×β, the operation adjustment unit adjusts the analysis process of the operation characteristic parameter, and the adjusted operation characteristic parameter is G1(i), and G1(i)=G(i)×X(i) / E(i,j) is set max ;

[0045] If the time period category of the current operation time period is the third category and X(i)≤ae2×β, the operation adjustment unit does not adjust the analysis process of the operation characteristic parameters;

[0046] Where β represents the rated comparison threshold, E(i,j) max represents the maximum value of solar irradiance during the current operating period, and X(i) represents the rated characteristic parameter;

[0047] The operation analysis module is also provided with an operation optimization unit, which is used to optimize the adjustment process of the operation characteristic parameters according to the historical characteristic parameters, wherein:

[0048] If the time period category of the current operation time period is category one or category two, the operation optimization unit does not optimize the adjustment process of the operation characteristic parameters;

[0049] If the time period category of the current operation period is category three and H / ae2>h, the operation optimization optimizes the adjustment process of the operation characteristic parameters, and the optimized operation characteristic parameters are G2(i), and G2(i)=G1(i) / e H / ae2 ;

[0050] Wherein, h represents the historical comparison threshold.

[0051] Furthermore, the operation analysis module is further provided with a state analysis unit, which is used to analyze the operation state of the electrical equipment according to the operation characteristic parameters, wherein:

[0052] When G(i)<g, the operation status analysis unit determines that the operation status of the electrical equipment is abnormal;

[0053] When G(i)≥g, the operation status analysis unit determines that the operation status of the electrical equipment is normal;

[0054] Where g represents the running comparison threshold.

[0055] Compared with the prior art, the beneficial effect of the present invention lies in that, by acquiring the operating information, environmental information and weather information of the electrical equipment through the information acquisition module, and the comprehensive analysis of the acquired data by other modules, the characteristic parameters of the operation of the electrical equipment are analyzed according to the operating data of the electrical equipment and the environmental information, thereby analyzing the operating characteristic parameters, and realizing the comprehensive analysis of the operating status of the electrical equipment according to the operating data of the electrical equipment and the environmental information, thereby improving the system's analysis efficiency of the operating data of the electrical equipment and improving the accuracy of the system's analysis of the operating status of the electrical equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] Figure 1 Schematic diagram of the structure of the electrical equipment operating status monitoring system of this embodiment.

[0057] Figure 2 Schematic diagram of the structure of the time period analysis module in this embodiment.

[0058] Figure 3 Schematic diagram of the structure of the history analysis module of this embodiment.

[0059] Figure 4 This is a schematic diagram of the structure of the operation analysis module of this embodiment. DETAILED DESCRIPTION

[0060] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0061] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the protection scope of the present invention.

[0062] In addition, it should be noted that in the description of the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0063] See also Figure 1 As shown, it is a system for monitoring the operating status of electrical equipment in this embodiment, including:

[0064] An information acquisition module is used to acquire the operation information, environmental information and weather information of the electrical equipment in real time, wherein the operation information includes output power and rated power, the environmental information includes ambient temperature and solar irradiance, and the weather information includes sunrise time and sunset time. The operation information of the electrical equipment is acquired by importing it through the electrical equipment operation data management platform, the environmental information is acquired by sensors, and the weather information is acquired by visiting a local meteorological website;

[0065] A time period division module, used for dividing the operation information and environmental information of the electrical equipment into time periods to obtain the operation time periods, the time period division module being connected to the information acquisition module;

[0066] A time period analysis module is used to classify the operation time period according to the environmental information to obtain the time period category, and is also used to analyze the time period characteristic parameters according to the operation information, environmental information and the operation time period. The time period analysis module is connected with the Haloxylon ammodendron time period division module;

[0067] A weather analysis module, used for analyzing sunrise parameters and sunset parameters according to weather information, the weather analysis module is connected to the time period division module;

[0068] A historical analysis module, used to store time period categories, time period characteristic parameters, sunrise parameters and sunset parameters to obtain historical data, and analyze historical daily categories, and also used to analyze peak characteristic parameters, normal characteristic parameters and historical characteristic parameters according to historical daily categories and historical data, the historical analysis module is connected to the time period analysis module and the weather analysis module;

[0069] An operation analysis module, used to analyze the operation characteristic parameters according to the time period category, the time period characteristic parameters, the peak characteristic parameters, the normal characteristic parameters and the historical characteristic parameters, and to analyze the operation status of the electrical equipment, the operation analysis module being connected to the historical analysis module;

[0070] The status output module is used to output the operating status of the electrical equipment, and the status output module is connected to the operation analysis module.

[0071] Specifically, this embodiment is applied to the cloud management of photovoltaic generator operation data, and the operation status of the photovoltaic generator is analyzed by acquiring and analyzing the operation data and environmental data of the photovoltaic generator.

[0072] Specifically, the time period division module in this embodiment divides the operation information and environmental information of the electrical equipment into time periods according to the preset analysis cycle, divides each preset analysis cycle in a day into an operation period, and numbers the operation periods in chronological order to obtain the time period number, and sets the time period number to i, i∈N +And i≤1440 / T, where T represents the duration of the preset analysis cycle.

[0073] Specifically, in this embodiment, the preset analysis period is set to 15 minutes. In this embodiment, the setting of the preset analysis period is not specifically limited, and those skilled in the art can freely set it, such as 10 minutes, 20 minutes, and 30 minutes, etc. The setting of the preset analysis period should be less than or equal to 60 minutes. When the time period division module divides the operation information and the environmental information into time periods, it divides the time periods from 00:00 to 23:59 every day, and divides each day into i max For example, when the time period number i=1 and the preset period length T=15, it means that the operating time period corresponding to the current analysis time period number is 00:00-00:15.

[0074] Specifically, in this embodiment, the time period division module is used to divide the operating information and environmental information of the electrical equipment into time periods, so as to divide a day into multiple operating time periods, and the data is compared with each time period to realize the division of the acquired data in chronological order, thereby improving the system's analysis efficiency of the electrical equipment operation data and improving the accuracy of the analysis of the electrical equipment operation status.

[0075] See also Figure 2 As shown, the time period analysis module includes:

[0076] A time period statistics unit is used to analyze the time period output power, time period ambient temperature and time period solar irradiance according to the operation information, environmental information and operation time period;

[0077] A time period classification unit, used for classifying the operation time period according to the solar irradiance of the time period to obtain the time period category, and the time period classification unit is connected to the time period statistics unit;

[0078] A time period analysis unit, used for analyzing the time period characteristic parameters according to the time period output power, the time period ambient temperature, the time period solar irradiance and the operation time period, the time period analysis unit is connected to the time period classification unit;

[0079] Specifically, the period statistics unit in this embodiment analyzes the period output power, period ambient temperature and period solar irradiance according to the operation information, environmental information and operation period. The period statistics unit uses the average of the output power, ambient temperature and solar irradiance in the operation period as the period output power, period ambient temperature and period solar irradiance, respectively, and sets the period output power to AP(i), the period ambient temperature to AW(i), the period solar irradiance to AE(i), and sets , , , where AP(i) represents the output power in the time period, P(i,j) represents the output power, j represents the time node number, j∈N + And j≤T, AW(i) represents the ambient temperature of the time period, W(i,j) represents the ambient temperature, AE(i) represents the solar irradiance of the time period, and E(i,j) represents the solar irradiance.

[0080] Specifically, in this embodiment, the time period statistics unit analyzes the operating information, environmental information and operating time period to analyze the time period output power, time period ambient temperature and time period solar irradiance, and realizes the mean analysis of the data in each time period. The mean of each data in the time period is used to represent the operating information and environmental information of the current operating time period, thereby improving the system's analysis efficiency of the electrical equipment operating data and improving the accuracy of the analysis of the electrical equipment operating status.

[0081] Specifically, in this embodiment, the time node number is a number that distinguishes the data corresponding to each time node in the operating period. The time node number is the number of each minute in the operating period. When j=1, it represents the data of the first minute in the operating period. In this embodiment, there is no specific limitation on the setting of the time node number, and technical personnel in this field can set it freely. For example, the time node number can also be set to the number of each second in the operating period, as long as the analysis of the time period output power, time period ambient temperature and time period solar irradiance is satisfied.

[0082] Specifically, the time period classification unit in this embodiment compares the solar irradiance with the irradiance threshold, and classifies the operating time period according to the comparison result, wherein:

[0083] When AE(i)<ae1, the time period classification unit determines that the time period category of the current operating time period is one category;

[0084] When ae1≤AE(i)≤ae2, the time period classification unit determines that the time period category of the current operating time period is the second category;

[0085] When AE(i)>ae2, the time period classification unit determines that the time period category of the current operating time period is the third category;

[0086] Wherein, ae1 represents the first irradiance threshold, 80≤ae1≤120, ae2 represents the second irradiance threshold, 900≤ae2≤1000. It can be understood that in this embodiment, the value of the irradiance threshold is not specifically limited, and those skilled in the art can freely set it as long as the analysis of the time period category is satisfied. The optimal value of the irradiance threshold is: ae1=100, ae2=1000.

[0087] Specifically, in this embodiment, the solar irradiance is analyzed by the time period classification unit to analyze the time period category, and each operating time period is divided into three categories, with category one, category two and category three representing weak solar light intensity, normal solar light intensity and strong solar light intensity respectively, thereby increasing the diversity of system analysis, thereby improving the system's analysis efficiency of electrical equipment operation data and improving the accuracy of electrical equipment operation status analysis.

[0088] Specifically, the time period analysis unit in this embodiment analyzes the time period characteristic parameters according to the time period output power, time period ambient temperature, time period solar irradiance and operating time period through the time period analysis formula, and the time period analysis unit is provided with a time period analysis formula as follows:

[0089] ,

[0090] Among them, F(i) represents the time period characteristic parameter.

[0091] Specifically, in this embodiment, the time period analysis unit analyzes the time period output power, time period ambient temperature, time period solar irradiance and operating time period to analyze the time period characteristic parameters, and the time period characteristic parameters are used to represent the changing characteristic relationship between the electrical equipment operating information and the environmental information in each operating time period, thereby improving the system's analysis efficiency of the electrical equipment operating data and improving the accuracy of the electrical equipment operating status analysis.

[0092] Specifically, the weather analysis module described in this embodiment analyzes the sunrise parameters and sunset parameters according to the sunrise time and sunset time, sets the sunrise parameter to R1, and the sunset parameter to R2, and sets R1=[t1×60+t2] / T, R2=[t3×60+t4] / T, wherein R1 represents the sunrise parameter, R1 is rounded down, t1 represents the hour part value of the sunrise time, t2 represents the minute part value of the sunrise time, R2 represents the sunset parameter, R2 is rounded down, t3 represents the hour part of the sunset time, and t4 represents the minute part of the sunset time.

[0093] Specifically, the sunrise time and sunset time described in this embodiment are in a 24-hour time format, wherein the sunrise time is t1:t2, and the sunset time is t3:t4.

[0094] Specifically, in this embodiment, the weather analysis module analyzes the sunrise time and sunset time to analyze the sunrise parameters and sunset parameters, and uses the sunrise parameters and sunset parameters to represent the operating time period numbers corresponding to the sunrise and sunset times, respectively, thereby improving the system's analysis efficiency of electrical equipment operating data and improving the accuracy of electrical equipment operating status analysis.

[0095] See also Figure 3 As shown, the historical analysis module includes:

[0096] A data storage unit, used to store time period categories, time period characteristic parameters, sunrise parameters and sunset parameters to obtain historical data;

[0097] A historical classification unit, used to analyze the historical daily categories according to the stored time period categories, the historical classification unit being connected to the data storage unit;

[0098] A peak analysis unit, used to analyze peak characteristic parameters according to historical daily categories and historical data, the peak analysis unit being connected to the historical classification unit;

[0099] A normality analysis unit, used to analyze normality characteristic parameters according to historical daily categories and historical data, the normality analysis unit being connected to the historical classification unit;

[0100] The historical analysis unit is used to analyze the historical characteristic parameters according to the historical daily categories and historical data, and the historical analysis unit is connected to the historical classification unit.

[0101] Specifically, the historical classification unit in this embodiment counts the number of operating time periods in the three time period categories in the historical data every day as the daily peak number, and analyzes the historical daily categories according to the daily peak number, wherein:

[0102] When N1(d)≤α×1440 / T, the historical classification unit determines that the historical daily category corresponding to the current day in the historical data is one category;

[0103] When N1(d)>α×1440 / T, the historical classification unit determines that the historical daily category corresponding to the current day in the historical data is the second category;

[0104] Among them, N1(d) represents the daily peak number, d represents the historical day number, and d∈N + , α represents the classification comparison threshold, 0.15≤α≤0.2. It can be understood that the value of the classification comparison threshold is not specifically limited in this embodiment, and those skilled in the art can freely set it, as long as it meets the analysis of historical daily categories. The optimal value of the classification comparison threshold is: α=0.17.

[0105] Specifically, in this embodiment, the historical classification unit analyzes the daily peak quantity to analyze the historical daily categories, and divides the data of each day in the historical data into two categories. The historical daily category one indicates that the light intensity on the current day is weak, which may be a rainy day, and the operating efficiency of the electrical equipment is low. The historical daily category two indicates that the light intensity on the current day is strong, which may be a sunny day, and the operating efficiency of the electrical equipment is high, thereby improving the system's analysis efficiency of the electrical equipment operation data and improving the accuracy of the analysis of the electrical equipment operation status.

[0106] Specifically, the peak analysis unit in this embodiment calculates the peak characteristic parameter through the peak analysis formula according to the historical data of the historical daily category 2, and the peak analysis unit is provided with the peak analysis formula as follows:

[0107] ,

[0108] Among them, M1 represents the peak characteristic parameter, AE(d2,i3) represents the solar irradiance in the historical data when the historical daily category is Category II and the time period category is Category III, d2 represents the historical day number when the historical daily category is Category II, d2∈d, i3 represents the time period number when the time period category is Category III, R2(d2) represents the sunset parameter when the historical daily category is Category II in the historical data, R1(d2) represents the sunrise parameter when the historical daily category is Category II in the historical data, and ND2 represents the number of historical data when the historical daily category is Category II.

[0109] Specifically, in this embodiment, the peak analysis unit analyzes the historical data of the second category of historical daily categories to analyze the peak characteristic parameters, and uses the peak characteristic parameters to represent the characteristic relationship between the solar irradiance and duration of the operating period with high solar irradiance in the historical data, thereby improving the system's analysis efficiency of electrical equipment operating data and improving the accuracy of electrical equipment operating status analysis.

[0110] Specifically, the normal analysis unit in this embodiment calculates the normal characteristic parameter through the normal analysis formula according to the historical data of the historical daily category 2, and the normal analysis unit is provided with the normal analysis formula as follows:

[0111] ,

[0112] Among them, M2 represents the normal characteristic parameter, and AE(d2,i2) represents the solar irradiance in the historical data when the historical daily category is Class II and the time period category is Class II.

[0113] Specifically, in this embodiment, the normal analysis unit analyzes the historical data of the second category of historical daily categories to analyze the normal characteristic parameters, and uses the normal characteristic parameters to represent the relationship between the solar irradiance and the duration of solar exposure in the historical data, thereby improving the system's analysis efficiency of the electrical equipment operation data and improving the accuracy of the analysis of the electrical equipment operation status.

[0114] Specifically, the historical analysis unit in this embodiment calculates the historical characteristic parameters according to the historical data through the historical analysis formula. The historical analysis unit is provided with the following historical analysis formula:

[0115] ,

[0116] ,

[0117] Among them, H represents the historical characteristic parameter, and BE(d2) represents the daily peak mean.

[0118] Specifically, in this embodiment, the historical analysis unit analyzes the historical data to analyze the historical characteristic parameters, and uses the historical characteristic parameters to represent the solar irradiance change characteristics of the operating time periods with strong solar irradiance in the historical data, thereby improving the system's analysis efficiency of the electrical equipment operating data and improving the accuracy of the analysis of the electrical equipment operating status.

[0119] See also Figure 4 As shown, the operation analysis module includes:

[0120] A rated analysis unit, used to analyze rated characteristic parameters according to operation information and environmental information;

[0121] An operation analysis unit, used for analyzing the operation characteristic parameters according to the time period category, the time period characteristic parameters, the peak characteristic parameters and the normal characteristic parameters, the operation analysis unit being connected to the rated analysis unit;

[0122] An operation adjustment unit, used for adjusting the analysis process of the operation characteristic parameter according to the rated characteristic parameter. The operation adjustment unit is connected to the operation analysis unit;

[0123] An operation optimization unit, used for optimizing the adjustment process of the operation characteristic parameters according to the historical characteristic parameters, the operation optimization unit is connected to the operation adjustment unit;

[0124] The state analysis unit is used to analyze the operation state of the electrical equipment according to the operation characteristic parameters, and the state analysis unit is connected to the operation optimization unit.

[0125] Specifically, the rated analysis unit in this embodiment analyzes the rated characteristic parameter according to the operating information and the environmental information through the rated analysis formula, sets the rated characteristic parameter to X(i), and sets X(i)=AE(i) AP(i) / p , where X(i) represents the rated characteristic parameter and p represents the rated power.

[0126] Specifically, the operation analysis unit in this embodiment calculates the operation characteristic parameter according to the period characteristic parameter, the peak characteristic parameter and the normal characteristic parameter through the operation analysis formula, and the operation analysis unit is provided with the following operation analysis formula:

[0127] G(i)=F(i) / [(R2-R1)×ln(M1-M2)];

[0128] Among them, G(i) represents the operating characteristic parameters.

[0129] Specifically, in this embodiment, the operation analysis unit analyzes the time period characteristic parameters, peak characteristic parameters and normal characteristic parameters to analyze the operation characteristic parameters, and uses the operation characteristic parameters to represent the relationship between the operation characteristics of the electrical equipment in the current operation period and the historical data characteristics, thereby improving the system's analysis efficiency of the electrical equipment operation data and improving the accuracy of the analysis of the electrical equipment operation status.

[0130] Specifically, the operation adjustment unit in this embodiment adjusts the analysis process of the operation characteristic parameters according to the rated characteristic parameters, wherein:

[0131] If the time period category of the current operation time period is one category, the operation adjustment unit does not adjust the analysis process of the operation characteristic parameters;

[0132] If the time period category of the current operation period is the second category and X(i)>ae1, the operation adjustment unit adjusts the analysis process of the operation characteristic parameter, and the adjusted operation characteristic parameter is G1(i), and G1(i)=G(i)×X(i) / E(i,j) is set max ;

[0133] If the time period category of the current operation time period is the second category and X(i)≤ae1, the operation adjustment unit does not adjust the analysis process of the operation characteristic parameters;

[0134] If the time period category of the current operation period is the third category and X(i)>ae2×β, the operation adjustment unit adjusts the analysis process of the operation characteristic parameter, and the adjusted operation characteristic parameter is G1(i), and G1(i)=G(i)×X(i) / E(i,j) is set max ;

[0135] If the time period category of the current operation time period is the third category and X(i)≤ae2×β, the operation adjustment unit does not adjust the analysis process of the operation characteristic parameters;

[0136] Where β represents the rated comparison threshold, 1.1≤β≤1.2, E(i,j) max It indicates the maximum value of solar irradiance in the current operating period. It is understandable that the value of the rated comparison threshold is not specifically limited in this embodiment, and can be freely set by those skilled in the art, as long as the adjustment of the operating characteristic parameter analysis process is met. The optimal value of the rated comparison threshold is: β=1.15.

[0137] Specifically, in this embodiment, the rated characteristic parameters are analyzed by the operation adjustment unit to adjust the analysis process of the operating characteristic parameters so that the operating characteristic parameters are related to the proportional relationship between the rated power of the electrical equipment and the solar irradiance during the operation of the electrical equipment, thereby improving the system's analysis efficiency of the electrical equipment operation data and improving the accuracy of the analysis of the electrical equipment operation status.

[0138] Specifically, the operation optimization unit in this embodiment optimizes the adjustment process of the operation characteristic parameters according to the historical characteristic parameters, wherein:

[0139] If the time period category of the current operation time period is category one or category two, the operation optimization unit does not optimize the adjustment process of the operation characteristic parameters;

[0140] If the time period category of the current operation period is category three and H / ae2>h, the operation optimization optimizes the adjustment process of the operation characteristic parameters, and the optimized operation characteristic parameters are G2(i), and G2(i)=G1(i) / e H / ae2 ;

[0141] Wherein, h represents the historical comparison threshold, 0.03≤h≤0.08. It is understandable that the value of the historical comparison threshold is not specifically limited in this embodiment, and those skilled in the art can freely set it, as long as the optimization of the characteristic parameter adjustment process is satisfied. The optimal value of the historical comparison threshold is: h=0.06.

[0142] Specifically, in this embodiment, the operation optimization unit analyzes the historical characteristic parameters to optimize the adjustment process of the operation characteristic parameters, so that the optimized operation characteristic parameters are related to the solar irradiance change characteristics of the operating period with strong solar irradiance in the historical data, thereby improving the system's analysis efficiency of the electrical equipment operation data and improving the accuracy of the analysis of the electrical equipment operation status.

[0143] Specifically, the state analysis unit in this embodiment analyzes the operating state of the electrical equipment according to the operating characteristic parameters, wherein:

[0144] When G(i)<g, the operation status analysis unit determines that the operation status of the electrical equipment is abnormal;

[0145] When G(i)≥g, the operation status analysis unit determines that the operation status of the electrical equipment is normal;

[0146] Wherein, g represents the operation comparison threshold, 0.5≤g≤0.8. It can be understood that the value of the operation comparison threshold is not specifically limited in this embodiment, and those skilled in the art can freely set it, as long as it satisfies the analysis of the operation status of the electrical equipment. The optimal value of the operation comparison threshold is: g=0.6.

[0147] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

Claims

1. An electrical equipment operating status monitoring system, characterized in that: include: Information acquisition module, used to obtain real-time operation information, environmental information and weather information of electrical equipment; A time period division module is used to divide the operation information and environmental information of the electrical equipment into time periods to obtain the operation time periods; A time period analysis module is used to classify the operation time period according to the environmental information to obtain the time period category, and is also used to analyze the time period characteristic parameters according to the operation information, environmental information and the operation time period; A weather analysis module, used to analyze sunrise parameters and sunset parameters according to weather information; A historical analysis module, for storing time period categories, time period characteristic parameters, sunrise parameters and sunset parameters to obtain historical data, and for analyzing historical daily categories, and for analyzing peak characteristic parameters, normal characteristic parameters and historical characteristic parameters according to historical daily categories and historical data; An operation analysis module is used to analyze the operation characteristic parameters according to the time period category, time period characteristic parameters, peak characteristic parameters, normal characteristic parameters and historical characteristic parameters, and to analyze the operation status of the electrical equipment; Status output module, used to output the operating status of electrical equipment; The historical analysis module is further provided with a peak analysis unit, which is used to calculate the peak characteristic parameters through a peak analysis formula according to the historical data of the historical daily category 2. The peak analysis unit is provided with a peak analysis formula as follows: ， Wherein, M1 represents the peak characteristic parameter, AE(d2,i3) represents the solar irradiance of the period with the historical daily category of Category II and the period category of Category III in the historical data, d2 represents the historical day number with the historical daily category of Category II, d2∈d, i3 represents the period number with the period category of Category III, R2(d2) is the sunset parameter with the historical daily category of Category II in the historical data, R1(d2) is the sunrise parameter with the historical daily category of Category II in the historical data, ND2 represents the number of historical data with the historical daily category of Category II, the period category is the classification of the operating period based on different solar irradiance settings, the historical daily category is the classification of the historical data based on different daily peak quantity settings, and the daily peak quantity represents the number of operating period with the period category of Category III in the historical data every day; The historical analysis module is further provided with a normal analysis unit, which is used to calculate the normal characteristic parameters through a normal analysis formula according to the historical data of the historical daily category 2. The normal analysis unit is provided with a normal analysis formula as follows: ， Among them, M2 represents the normal characteristic parameter, and AE(d2,i2) represents the solar irradiance in the period of historical data when the historical daily category is Class II and the period category is Class II; The historical analysis module is further provided with a historical analysis unit, which is used to calculate historical characteristic parameters according to historical data through a historical analysis formula. The historical analysis unit is provided with a historical analysis formula as follows: ， ， Among them, H represents the historical characteristic parameter, BE(d2) represents the daily peak mean; The operation analysis module is provided with an operation analysis unit, which is used to calculate the operation characteristic parameters according to the period characteristic parameters, the peak characteristic parameters and the normal characteristic parameters through the operation analysis formula. The operation analysis unit is provided with the following operation analysis formula: G(i)=F(i) / [(R2-R1)×ln(M1-M2)]; Among them, G(i) represents the operation characteristic parameter, F(i) represents the time period characteristic parameter, R1 represents the sunrise parameter, and R2 represents the sunset parameter; The operation analysis module is further provided with an operation adjustment unit, which is used to adjust the analysis process of the operation characteristic parameters according to the rated characteristic parameters, wherein: If the time period category of the current operation time period is one category, the operation adjustment unit does not adjust the analysis process of the operation characteristic parameters; If the time period category of the current operation period is the second category and X(i)>ae1, the operation adjustment unit adjusts the analysis process of the operation characteristic parameter, and the adjusted operation characteristic parameter is G1(i), and G1(i)=G(i)×X(i) / E(i,j) is set max ; If the time period category of the current operation time period is the second category and X(i)≤ae1, the operation adjustment unit does not adjust the analysis process of the operation characteristic parameters; If the time period category of the current operation period is the third category and X(i)>ae2×β, the operation adjustment unit adjusts the analysis process of the operation characteristic parameter, and the adjusted operation characteristic parameter is G1(i), and G1(i)=G(i)×X(i) / E(i,j) is set max ; If the time period category of the current operation time period is the third category and X(i)≤ae2×β, the operation adjustment unit does not adjust the analysis process of the operation characteristic parameters; Where β represents the rated comparison threshold, E(i,j) max represents the maximum value of solar irradiance in the current operating period, X(i) represents the rated characteristic parameter, ae1 represents the first irradiance threshold, and ae2 represents the second irradiance threshold; The operation analysis module is also provided with an operation optimization unit, which is used to optimize the adjustment process of the operation characteristic parameters according to the historical characteristic parameters, wherein: If the time period category of the current operation time period is category one or category two, the operation optimization unit does not optimize the adjustment process of the operation characteristic parameters; If the time period category of the current operation period is the third category and H / ae2>h, the operation optimization optimizes the adjustment process of the operation characteristic parameters, and the optimized operation characteristic parameters are G2(i), and G2(i)=G1(i) / e H / ae2 ; Wherein, h represents the historical comparison threshold.

2. The electrical equipment operating status monitoring system according to claim 1, characterized in that: The time period division module divides the operation information and environmental information of the electrical equipment into time periods according to the preset analysis cycle, divides each preset analysis cycle in a day into an operation period, and numbers the operation periods in chronological order to obtain the time period number, and sets the time period number as i, i∈N + And i≤1440 / T, where T represents the duration of the preset analysis cycle.

3. The electrical equipment operating status monitoring system according to claim 2, characterized in that: The time period analysis module is provided with a time period classification unit, which is used to compare the solar irradiance with the irradiance threshold and classify the operating time period according to the comparison result, wherein: When AE(i)<ae1, the time period classification unit determines that the time period category of the current operating time period is one category; When ae1≤AE(i)≤ae2, the time period classification unit determines that the time period category of the current operating time period is the second category; When AE(i)>ae2, the time period classification unit determines that the time period category of the current operating time period is the third category; Among them, ae1 represents the first irradiance threshold, ae2 represents the second irradiance threshold, and AE(i) represents the solar irradiance in the time period.

4. The electrical equipment operating status monitoring system according to claim 3, characterized in that: The time period analysis module is also provided with a time period analysis unit, which is used to analyze the time period characteristic parameters according to the time period output power, time period ambient temperature, time period solar irradiance and operating time period through a time period analysis formula. The time period analysis unit is provided with a time period analysis formula as follows: ， Where AP(i) represents the output power in the time period, P(i,j) represents the output power, j represents the time node number, j∈N + And j≤T, AW(i) represents the ambient temperature of the time period, W(i,j) represents the ambient temperature, and E(i,j) represents the solar irradiance.

5. The electrical equipment operating status monitoring system according to claim 4, characterized in that: The weather analysis module analyzes the sunrise parameters and sunset parameters according to the sunrise time and the sunset time, sets the sunrise parameter to R1, and the sunset parameter to R2, and sets R1=[t1×60+t2] / T, R2=[t3×60+t4] / T, wherein R1 represents the sunrise parameter, R1 is rounded down, t1 represents the hour part value of the sunrise time, t2 represents the minute part value of the sunrise time, R2 represents the sunset parameter, R2 is rounded down, t3 represents the hour part of the sunset time, and t4 represents the minute part of the sunset time.

6. The electrical equipment operating status monitoring system according to claim 5, characterized in that: The historical analysis module is provided with a historical classification unit, which is used to count the number of operating time periods of the three categories in the historical data every day as the daily peak number, and analyze the historical daily categories according to the daily peak number, wherein: When N1(d)≤α×1440 / T, the historical classification unit determines that the historical daily category corresponding to the current day in the historical data is one category; When N1(d)>α×1440 / T, the historical classification unit determines that the historical daily category corresponding to the current day in the historical data is the second category; Among them, N1(d) represents the daily peak number, d represents the historical day number, and d∈N + , α represents the classification comparison threshold.

7. The electrical equipment operation status monitoring system according to claim 1, characterized in that: The operation analysis module is also provided with a state analysis unit, which is used to analyze the operation state of the electrical equipment according to the operation characteristic parameters, wherein: When G(i)<g, the operation status analysis unit determines that the operation status of the electrical equipment is abnormal; When G(i)≥g, the operation status analysis unit determines that the operation status of the electrical equipment is normal; Where g represents the running comparison threshold.

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