A green energy generator monitoring system

Abstract

The present invention relates to the field of generator set monitoring, and discloses a green energy generator set monitoring system, comprising: a generator set monitoring module, used for real-time monitoring of the generator set, and obtaining basic operation data information of the generator set; a water source monitoring module, used for obtaining water source supply information of the current generator set; an abnormality analysis module, used for receiving the basic operation data information and water source supply information, and performing potential abnormality analysis on the basic operation data information and water source supply information, and obtaining the abnormal variation coefficient of the generator set; an abnormality judgment module, used for comparing the abnormal variation coefficient of the generator set with a preset threshold interval, and judging whether the current generator set has an abnormality according to the comparison result; an abnormality warning module, used for generating a corresponding warning signal according to the judgment result, and executing a warning strategy corresponding to the current warning signal; the present invention realizes early judgment of generator set failure.

Description

Technical Field

[0001] The invention relates to the field of generator set monitoring, and in particular to a green energy generator set monitoring system. Background Art

[0002] Green energy generator sets refer to generator sets that use renewable energy sources such as wind energy, solar energy, hydropower, etc. to generate electricity; these generator sets usually use clean energy, do not produce air pollution and greenhouse gas emissions, and are environmentally friendly; green energy generator sets can help reduce dependence on fossil fuels and promote sustainable development; common green energy generator sets include wind turbines, solar turbines, hydropower generators, etc.; with the improvement of environmental awareness and the advancement of technology, green energy generator sets have been widely used and developed around the world.

[0003] As an important source of green energy, hydropower is increasingly valued. Due to the different regions where they are located, the environment in which hydropower generating units are operating also varies greatly. In order to ensure that the hydropower generating units are in an effective working state, it is necessary to monitor the operating status of the hydropower generating units; however, the existing operation monitoring of hydropower generating units still has some defects. For example, the existing monitoring technology mostly adopts the method of specific parameter detection, and can only monotonously alarm when the parameters are abnormal, lacking a pre-analysis process, so that the ability to predict hydropower generating unit failures is limited. Usually, monitoring and diagnosis can only be carried out after the failure has occurred, and early warning cannot be given. Summary of the invention

[0004] The purpose of the present invention is to provide a green energy generator set monitoring system to solve the above technical problems.

[0005] The purpose of the present invention can be achieved through the following technical solutions:

[0006] A green energy generator set monitoring system, comprising:

[0007] Generator set monitoring module, used to monitor the generator set in real time and obtain basic operating data information of the generator set;

[0008] Water source monitoring module, used to obtain water source supply information of the current generator set;

[0009] an abnormality analysis module, used for receiving the basic operation data information and the water supply information, and performing potential abnormality analysis on the basic operation data information and the water supply information to obtain an abnormal variation coefficient of the generator set;

[0010] The abnormality judgment module is used to compare the abnormal variation coefficient of the generator set with the preset threshold range, and judge whether the current generator set has abnormality according to the comparison result;

[0011] The abnormal warning module is used to generate a corresponding warning signal according to the judgment result and execute the warning strategy corresponding to the current warning signal.

[0012] As a further technical solution, the basic operating data information includes vibration parameters, operating temperature parameters and operating speed parameters of the generator set; the water supply information includes water level parameters and water flow information of the water area.

[0013] As a further technical solution, the process of performing potential abnormality analysis on the basic operation data information and water supply information includes:

[0014] Get the risk factor of the generator set within the preset time period and water source risk factor ;

[0015] The preset time period is divided into multiple time periods, and the total number of items in the time period is ;

[0016] By formula:

[0017] ;

[0018] Calculate the abnormal variation coefficient of the overall generator set ;

[0019] in, , is the weight coefficient, which is determined based on historical data and empirical data. ;

[0020] The abnormal variation coefficient of the whole motor group The preset threshold range Make a comparison;

[0021] like , then it is judged that the overall generator set is operating abnormally;

[0022] like , it is judged that there is a possibility of abnormal operation of the entire generator set;

[0023] like , it is judged that the overall generator set is operating well.

[0024] As a further technical solution, the generator set risk factor and water source risk factor The acquisition process includes:

[0025] Get the The curves of the operating state coefficient of the generator set and the water supply state coefficient changing with time in each time period , ;

[0026] By formula:

[0027] ;

[0028] Calculate the first The risk factor of the generator set in each time period ;

[0029] By formula:

[0030] ;

[0031] Calculate the first Water source risk factor in each time period ;

[0032] in, For the The starting and ending time points of each time period; For the The standard variation curve of the operating status coefficient of the generator set in each time period, For the The standard variation curve of the water supply state coefficient in each time period, For the The reference value of the operating status coefficient of the generator set in each time period, For the Reference value of water supply status coefficient in each time period.

[0033] As a further technical solution, the generator set operating state coefficient And the water supply state coefficient The acquisition process includes:

[0034] Get the real-time vibration parameters of the current generator set , operating temperature parameters and operating speed parameters ;

[0035] Get the real-time water level parameters of the current water area and water flow information ;

[0036] By formula:

[0037] ;

[0038] Calculate the current generator set operating status coefficient ;

[0039] Among them, if ,but The value is 0;

[0040] like ,but The value is 0;

[0041] is the average value of vibration parameters based on historical data, is the average operating temperature based on historical data, is the average operating speed based on historical data, is the standard vibration parameter value, is the standard operating temperature value, is the standard operating speed value; , , is the corresponding application coefficient, which is selected and determined based on historical data and experimental data;

[0042] By formula:

[0043] ;

[0044] Calculate the current water supply status coefficient ;

[0045] Among them, if ,but The value is 0;

[0046] like ,but ;

[0047] is the average value of water level parameters based on historical data, is the average flow rate based on historical data, is the standard water level parameter value, is the standard water flow rate value, , is the corresponding application coefficient, which is selected and determined based on historical data and experimental data.

[0048] As a further technical solution, the monitoring system also includes a control module, which is used to obtain a matching coefficient after analyzing the water supply information and the operating status coefficient of the generator set, and control the operation of the generator set at the current gate according to the matching coefficient.

[0049] As a further technical solution, the process of obtaining the matching coefficient is as follows:

[0050] Get the current number of gate generators And the operating status coefficient of each generator set ;

[0051] By formula:

[0052] ;

[0053] Calculate the matching coefficient of the current gate ;

[0054] in, is the conversion coefficient, which is determined based on historical experience data and experimental data. , is the scoring coefficient of the j-th generator set.

[0055] As a further technical solution, the process of obtaining the scoring coefficient includes:

[0056] The operating status coefficient of each generator set is obtained With preset threshold Make a comparison;

[0057] like , then it is judged that the operating state of the generator set is poor, through the formula:

[0058] ;

[0059] like , then it is judged that the generator set is in good operating condition, through the formula: ;

[0060] Calculate the score coefficient of the jth generator set ;

[0061] in, It is a preset conversion coefficient, which is selected and determined based on historical data and experience data.

[0062] As a further technical solution, the process of regulating the operation of the generator set at the current gate according to the matching coefficient is as follows:

[0063] The matching coefficient obtained by the current gate Matching threshold Make a comparison;

[0064] If the matching coefficient of the current gate <Matching threshold , then it is judged that the power generation efficiency of the current gate is poor, and the generator set is adjusted according to the control strategy;

[0065] If the matching coefficient of the current gate ≥ Matching Threshold , it is judged that the power generation efficiency of the generator set at the current gate is normal and no adjustment is made.

[0066] As a further technical solution, the control process of the control strategy is:

[0067] The generators currently in working condition at the gate are listed as a working group;

[0068] The generator sets that are not in working condition at the current gate are listed as the backup sets;

[0069] Obtain the operating status coefficient of each generator set in the current gate working group in real time And the corresponding scoring coefficient , and sort the working group's rating coefficients in descending order ;

[0070] Get the average score coefficient corresponding to each generator group in the current gate backup group , and sort the average score coefficient of the substitute group in descending order ;

[0071] The scoring coefficient of the last generator group will be and the average score coefficient of the first ranked substitute group Make a comparison;

[0072] like < , then the generator sets in the working group are replaced by the generator sets in the substitute group;

[0073] Repeat the above steps until ≥ , stop regulating.

[0074] Beneficial effects of the present invention:

[0075] (1) The present invention uses a generator set monitoring module to perform real-time monitoring of each generator set in the current area, and combines it with a water source monitoring module set in the current water area to obtain the status of the generator set itself and the water area supply status. Subsequently, the abnormal analysis module performs potential abnormality analysis on the basic operation data information and water source supply information obtained to obtain the abnormal variation coefficient of the generator set. Then, the abnormal variation coefficient of the generator set is compared with a preset threshold range through abnormal judgment, and it is judged whether the current generator set has an abnormality based on the comparison result; once an abnormality is judged, a corresponding early warning signal is generated, and an early warning strategy corresponding to the current early warning signal is executed; through real-time monitoring and early abnormality analysis, the potential risks of the current generator set can be controlled in advance, so as to prevent potential faults from causing greater damage to the generator set, and keep the generator set in a safe working state and with a higher power generation efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0076] The present invention will be further described below in conjunction with the accompanying drawings.

[0077] Figure 1 is a system block diagram of the present invention;

[0078] Figure 2 It is a distribution diagram of the generator sets in the present invention. DETAILED DESCRIPTION

[0079] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0080] See also Figure 1-Figure 2 As shown, the present invention is a green energy generator set monitoring system, comprising:

[0081] Generator set monitoring module, used to monitor the generator set in real time and obtain basic operating data information of the generator set;

[0082] Water source monitoring module, used to obtain water source supply information of the current generator set;

[0083] an abnormality analysis module, used for receiving the basic operation data information and the water supply information, and performing potential abnormality analysis on the basic operation data information and the water supply information to obtain an abnormal variation coefficient of the generator set;

[0084] The abnormality judgment module is used to compare the abnormal variation coefficient of the generator set with the preset threshold range, and judge whether the current generator set has abnormality according to the comparison result;

[0085] The abnormal warning module is used to generate a corresponding warning signal according to the judgment result and execute the warning strategy corresponding to the current warning signal.

[0086] Through the above technical scheme, each generator set in the current area is monitored in real time through the generator set monitoring module, and combined with the water source monitoring module set in the current water area, the status of the generator set itself and the water area supply status are obtained. Then, the basic operation data information and water source supply information obtained are analyzed for potential abnormalities through the abnormal analysis module to obtain the abnormal variation coefficient of the generator set. Then, the abnormal variation coefficient of the generator set is compared with the preset threshold range through abnormal judgment, and it is judged whether the current generator set has an abnormality according to the comparison result; once an abnormality is judged, a corresponding early warning signal is generated, and the early warning strategy corresponding to the current early warning signal is executed; through real-time monitoring and early analysis of abnormalities, the potential risks of the current generator set can be controlled in advance, so as to prevent potential faults from causing greater damage to the generator set, and keep the generator set in a safe working state and high power generation efficiency.

[0087] The basic operation data information includes vibration parameters, operation temperature parameters and operation speed parameters of the generator set; the water supply information includes water level parameters and water flow information of the water area. In this example, the basic operation data information includes but is not limited to vibration parameters, operation temperature parameters and operation speed parameters of the generator set. The basic operation parameters are obtained by various sensors in the prior art, such as temperature sensors, vibration sensors and speed sensors; and the water level parameters and water flow parameters are obtained by instruments and sensors in the prior art. For example, the water level parameters can be obtained by a water level meter or a liquid level sensor, and the water flow parameters can be obtained by a flow meter.

[0088] The process of performing potential abnormality analysis on the basic operation data information and water supply information includes:

[0089] Get the risk factor of the generator set within the preset time period and water source risk factor ;

[0090] The preset time period is divided into multiple time periods, and the total number of items in the time period is ;

[0091] By formula:

[0092] ;

[0093] Calculate the abnormal variation coefficient of the overall generator set ;

[0094] in, , is the weight coefficient, which is determined based on historical data and empirical data. ;

[0095] The abnormal variation coefficient of the whole motor group The preset threshold range Make a comparison;

[0096] like , then it is judged that the overall generator set is operating abnormally;

[0097] like , it is judged that there is a possibility of abnormal operation of the entire generator set;

[0098] like , it is judged that the overall generator set is operating well.

[0099] Through the above technical solution, a method for analyzing the abnormality of the entire generator set in the current gate is provided. Specifically, through the formula Calculate the abnormal variation coefficient of the overall generator set ; The risk factor of the generator set obtained by processing the basic operating data information Water source risk coefficient obtained from water source supply information Combine the hydraulic resources and the status of the generator set to establish a correlation, and calculate the abnormal variation coefficient of the overall generator set The changing trend can directly reflect the abnormal situation in the current gate, and can quickly determine whether there is a potential danger in the generator set in the current gate; then the abnormal change coefficient of the overall generator set The preset threshold range To compare; if , then it is judged that the overall generator set is operating abnormally; if , then it is judged that there is a possibility of abnormal operation of the entire generator set; if , it is judged that the overall generator set is operating well.

[0100] The risk factor of the generator set and water source risk factor The acquisition process includes:

[0101] Get the The curves of the operating state coefficient of the generator set and the water supply state coefficient changing with time in each time period , ;

[0102] By formula:

[0103] ;

[0104] Calculate the first Risk factor of generator set in each time period ;

[0105] By formula:

[0106] ;

[0107] Calculate the first Water source risk factor in each time period ;

[0108] in, For the The starting and ending time points of each time period; For the The standard variation curve of the operating status coefficient of the generator set in each time period, For the The standard variation curve of the water supply state coefficient in each time period, For the The reference value of the operating status coefficient of the generator set in each time period, For the Reference value of water supply status coefficient in each time period.

[0109] Through the above technical solution, a method for obtaining the risk coefficient of the generator set is provided. and water source risk factor Specific methods, specifically, obtain the The curves of the operating state coefficient of the generator set and the water supply state coefficient changing with time in each time period , ; Through the formula: Calculate the first Risk factor of generator set in each time period ; Then through the formula: Calculate the first Water source risk factor in each time period The above formula can reflect the operating status of each generator set in the current gate and the water supply status of the current water area in real time, and the risk coefficient of the generator set The larger the value, the more unstable the generator set is and the greater the possibility of potential failure. This means that the water level and flow rate of the water source are insufficient to achieve efficient power generation.

[0110] The generator set operating state coefficient And the water supply state coefficient The acquisition process includes:

[0111] Get the real-time vibration parameters of the current generator set , operating temperature parameters and operating speed parameters ;

[0112] Get the real-time water level parameters of the current water area and water flow information ;

[0113] By formula:

[0114] ;

[0115] Calculate the current generator set operating status coefficient ;

[0116] Among them, if ,but The value is 0;

[0117] like ,but The value is 0;

[0118] is the average value of vibration parameters based on historical data, is the average operating temperature based on historical data, is the average operating speed based on historical data, is the standard vibration parameter value, is the standard operating temperature value, is the standard operating speed value; , , is the corresponding application coefficient, which is selected and determined based on historical data and experimental data;

[0119] By formula:

[0120] ;

[0121] Calculate the current water supply status coefficient ;

[0122] Among them, if ,but The value is 0;

[0123] like ,but ;

[0124] is the average value of water level parameters based on historical data, is the average flow rate based on historical data, is the standard water level parameter value, is the standard water flow rate value, , is the corresponding application coefficient, which is selected and determined based on historical data and experimental data.

[0125] Through the above technical solution, a method is provided to obtain the operating status coefficient of the generator set. and water supply status coefficient The method is to obtain the real-time vibration parameters of the generator set in real time. , operating temperature parameters and operating speed parameters ; At the same time, obtain the real-time water level parameters of the current water area and water flow information ; Through the formula: ; Calculate the current generator set operating status coefficient ; Through the formula: ; Calculate the current water supply status coefficient ; It can be clearly obtained from the above formula that when the water level in the water area is lower and the water flow rate is lower, the water supply state coefficient The larger the value, the worse the water supply situation. The larger the operating temperature parameter The higher the speed parameter The greater the difference between the speed and the standard speed, the higher the operating coefficient of the generator set. The larger the value, the more unstable the operating state of the generator set is. It can detect potentially dangerous generators in advance, curb them in time and prevent the danger sources from expanding.

[0126] The monitoring system also includes a control module, which is used to obtain a matching coefficient after analyzing the water supply information and the operating status coefficient of the generator set, and to control the operation of the generator set at the current gate according to the matching coefficient.

[0127] The process of obtaining the matching coefficient is as follows:

[0128] Get the current number of gate generators And the operating status coefficient of each generator set ;

[0129] By formula:

[0130] ;

[0131] Calculate the matching coefficient of the current gate ;

[0132] in, is the conversion coefficient, which is determined based on historical experience data and experimental data. , is the scoring coefficient of the j-th generator set.

[0133] Through the above technical solution, in this embodiment, a control module is set to obtain a matching coefficient based on the analysis of water supply information and the operating status coefficient of the generator set. The matching coefficient can directly reflect the matching degree between the current gate generator set and the water flow situation. Specifically, the formula is: Calculate the matching coefficient of the current gate ;in, is the conversion coefficient, which is determined based on historical experience data and experimental data. , is the scoring coefficient of the jth generator set; from the above content, we can know that It can reflect the number of generator sets required for the current water flow conditions. The bigger the generator set, the more generator sets need to work. It reflects the cumulative calculation of the scoring coefficient and operating status coefficient of each generator set; then the matching coefficient obtained at the current gate is Matching threshold For comparison; if the matching coefficient of the current gate <Matching threshold , then the power generation efficiency of the generator set at the current gate is judged to be poor, and the generator set is adjusted according to the control strategy; if the matching coefficient of the current gate ≥ Matching Threshold , it is judged that the power generation efficiency of the generator set at the current gate is normal and no adjustment is made.

[0134] The process of obtaining the scoring coefficient includes:

[0135] The operating status coefficient of each generator set is obtained With preset threshold Make a comparison;

[0136] like , then it is judged that the operating state of the generator set is poor, through the formula:

[0137] ;

[0138] like , then it is judged that the generator set is in good operating condition, through the formula: ;

[0139] Calculate the score coefficient of the jth generator set ;

[0140] in, The conversion coefficient is preset and is determined based on historical data and empirical data. Through the above technical solution, this embodiment provides a method for obtaining the scoring coefficient of each generator set. Specifically, the operating status coefficient of each generator set is obtained. With preset threshold To compare; if , then it is judged that the operating state of the generator set is poor, through the formula: ;like , then it is judged that the generator set is in good operating condition, through the formula: ; Calculate and obtain the rating coefficient of the jth generator set The scoring coefficient can be used to intuitively judge the power generation efficiency of each operating unit, so that when selecting the working generator set, only the generator set with high power generation efficiency and stable operating status can be selected to achieve the maximum utilization of water resources.

[0141] The control process of the control strategy is:

[0142] The generators currently in working condition at the gate are listed as a working group;

[0143] The generator sets that are not in working condition at the current gate are listed as the backup sets;

[0144] Obtain the operating status coefficient of each generator set in the current gate working group in real time And the corresponding scoring coefficient , and sort the working group's rating coefficients in descending order ;

[0145] Get the average score coefficient corresponding to each generator group in the current gate backup group , and sort the average score coefficient of the substitute group in descending order ;

[0146] The scoring coefficient of the last generator group will be and the average score coefficient of the first ranked substitute group Make a comparison;

[0147] like < , then the generator sets in the working group are replaced by the generator sets in the substitute group;

[0148] Repeat the above steps until ≥ , stop regulating.

[0149] Through the above technology, this embodiment provides a control method for executing the control strategy. Specifically, when the working generator set needs to be adjusted, the operating state coefficient of each generator set in the current gate working group is first obtained in real time. And the corresponding scoring coefficient , and sort the working group's rating coefficients in descending order ; Get the average score coefficient corresponding to each generator group in the current gate backup group , and sort the average score coefficient of the substitute group in descending order ; The scoring coefficient of the last generator set and the average score coefficient of the first ranked substitute group To compare; if < , then replace the generator set in the working group with the generator set in the substitute group; repeat the above steps until ≥ , stop regulation; so that the running generator set can be replenished and replaced in time to achieve the maximum utilization efficiency of the current hydraulic resources, while ensuring the stable state of the generator set during operation.

[0150] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. A green energy generator monitoring system, characterized in that: include: Generator set monitoring module, used to monitor the generator set in real time and obtain basic operating data information of the generator set; Water source monitoring module, used to obtain water source supply information of the current generator set; The abnormality analysis module is used to receive the basic operation data information and water supply information, and perform potential abnormality analysis on the basic operation data information and water supply information to obtain the abnormal variation coefficient of the generator set; the process includes: Get the risk factor of the generator set within the preset time period and water source risk factor ; Divide the preset time period into multiple time periods, and the total number of items in the time period is ; By formula: ; Calculate the abnormal variation coefficient of the overall generator set ;in, , is the weight coefficient, which is determined based on historical data and empirical data. ; The risk factor of the generator set and water source risk factor The acquisition process includes: Get the The curves of the operating state coefficient of the generator set and the water supply state coefficient changing with time in each time period , ; By formula: Calculate the first The risk factor of the generator set in each time period ; By formula: Calculate the first Water source risk factor in each time period ; in, For the The starting and ending time points of each time period; For the The standard variation curve of the operating status coefficient of the generator set in each time period, For the The standard variation curve of the water supply state coefficient in each time period, For the The reference value of the operating status coefficient of the generator set in each time period, For the Reference value of water supply status coefficient in each time period; The abnormality judgment module is used to compare the abnormal variation coefficient of the generator set with the preset threshold range, and judge whether the current generator set has abnormality according to the comparison result; The abnormal warning module is used to generate a corresponding warning signal according to the judgment result and execute the warning strategy corresponding to the current warning signal.

2. The green energy generator monitoring system according to claim 1, characterized in that: The basic operating data information includes vibration parameters, operating temperature parameters and operating speed parameters of the generator set; the water source supply information includes water level parameters and water flow information of the water area.

3. The green energy generator monitoring system according to claim 1, characterized in that: The abnormal variation coefficient of the whole motor group The preset threshold range Make a comparison; like , then it is judged that the overall generator set is operating abnormally; like , it is judged that there is a possibility of abnormal operation of the entire generator set; like , it is judged that the overall generator set is operating well.

4. The green energy generator monitoring system according to claim 1, characterized in that: The generator set operating state coefficient And the water supply state coefficient The acquisition process includes: Get the real-time vibration parameters of the current generator set , operating temperature parameters and operating speed parameters ; Get the real-time water level parameters of the current water area and water flow information ; By formula: ； Calculate the current generator set operating status coefficient ; Among them, if ,but The value is 0; like ,but The value is 0; is the average value of vibration parameters based on historical data, is the average operating temperature based on historical data, is the average operating speed based on historical data, is the standard vibration parameter value, is the standard operating temperature value, is the standard operating speed value; , , is the corresponding application coefficient, which is selected and determined based on historical data and experimental data; By formula: ； Calculate the current water supply status coefficient ; Among them, if ,but The value is 0; like ,but ; is the average value of water level parameters based on historical data, is the average flow rate based on historical data, is the standard water level parameter value, is the standard water flow value, , is the corresponding application coefficient, which is selected and determined based on historical data and experimental data.

5. The green energy generator monitoring system according to claim 1 or 4, characterized in that: The monitoring system also includes a control module, which is used to obtain a matching coefficient after analyzing the water supply information and the operating status coefficient of the generator set, and to control the operation of the generator set at the current gate according to the matching coefficient.

6. The green energy generator monitoring system according to claim 5, characterized in that: The process of obtaining the scoring coefficient includes: The operating status coefficient of each generator set is obtained With preset threshold Make a comparison; like , then it is judged that the operating state of the generator set is poor, through the formula: ； like , then it is judged that the generator set is in good operating condition, through the formula: ; Calculate the score coefficient of the jth generator set ; in, It is a preset conversion coefficient, which is selected and determined based on historical data and experience data.

7. The green energy generator monitoring system according to claim 6, characterized in that: The process of regulating the operation of the generator set at the current gate according to the matching coefficient is as follows: The matching coefficient obtained by the current gate Matching threshold Make a comparison; If the matching coefficient of the current gate <Matching threshold , then it is judged that the power generation efficiency of the current gate is poor, and the generator set is adjusted according to the control strategy; If the matching coefficient of the current gate ≥ Matching Threshold , it is judged that the power generation efficiency of the generator set at the current gate is normal and no adjustment is made.

8. The green energy generator monitoring system according to claim 7, characterized in that: The control process of the control strategy is: The generators currently in working condition at the gate are listed as a working group; The generator sets that are not in working condition at the current gate are listed as the backup sets; Obtain the operating status coefficient of each generator set in the current gate working group in real time And the corresponding scoring coefficient , and sort the working group's rating coefficients in descending order ; Get the average score coefficient corresponding to each generator group in the current gate backup group , and sort the average score coefficient of the substitute group in descending order ; The scoring coefficient of the last generator group will be and the average score coefficient of the first ranked substitute group Make a comparison; like < , then the generator set in the working group is replaced by the generator set in the substitute group; Repeat the above steps until ≥ , stop regulating.

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