A new energy power plant intelligent auxiliary monitoring device and monitoring method

Abstract

The invention discloses an intelligent auxiliary monitoring device and a monitoring method for a new energy power plant, and relates to the technical field of power plant monitoring. The device discloses an auxiliary monitoring module, an environmental security analysis module, an environmental security optimization module, and an optimization scheme preferred module. The auxiliary monitoring module and the environmental security analysis module are provided, and three-dimensional in-depth monitoring and analysis of the new energy power plant can be performed from two dimensions of environment and security, so as to ensure that the environment and security of the new energy power plant can be accurately and comprehensively analyzed for abnormalities. The environmental security optimization module and the optimization scheme preferred module are provided, and the new energy power plant with abnormal environment and security is marked in time, and multiple environmental security optimization schemes are obtained by constructing a power plant simulation environment. Through simulation analysis of each environmental security optimization scheme, the environmental security preferred scheme of the new energy power plant is determined, and the environmental and security problems existing in the new energy power plant are efficiently and accurately processed and optimized.

Description

Technical Field

[0001] The present invention relates to the field of power plant monitoring technology, and more specifically, to an intelligent auxiliary monitoring device and a monitoring method for a new energy power plant. Background Art

[0002] With the continuous growth of global energy demand and the increasingly severe environmental problems, new energy power generation technologies, such as wind power and solar energy, have become an important way to solve the energy crisis and reduce environmental pollution. As the main production base of clean energy, the stable operation and safety of new energy power plants are directly related to the reliability of energy supply and the effect of environmental protection. However, new energy power plants face complex and changeable environmental factors and potential security threats during operation, such as natural disasters, equipment failures, and man-made damage, which may cause abnormal operation of power plants and even cause safety accidents. At present, new energy power plants will monitor a variety of data separately to ensure the normal operation of the power plants, but these data are analyzed independently without in-depth analysis of the corresponding data, resulting in untimely optimization response of new energy power plants and prone to major abnormal situations. Summary of the invention

[0003] In view of the deficiencies in the prior art, the object of the present invention is to provide an intelligent auxiliary monitoring device and a monitoring method for a new energy power plant.

[0004] To achieve the above object, the present invention provides the following technical solutions:

[0005] An intelligent auxiliary monitoring device for a new energy power plant, comprising an auxiliary monitoring module, an environmental security analysis module, an environmental security optimization module, and an optimization scheme preferred module;

[0006] The auxiliary monitoring module: obtains auxiliary monitoring values ​​of environmental indicators and auxiliary monitoring values ​​of security indicators in the new energy power plant every t time;

[0007] The environmental security analysis module: obtains the environmental security monitoring value of the new energy power plant based on the auxiliary monitoring value of the environmental index and the auxiliary monitoring value of the security index;

[0008] The environmental security optimization module determines whether it is necessary to optimize the environment and security of the new energy power plant based on the comparison result between the environmental security monitoring value and the environmental security optimization limit value;

[0009] The optimization scheme preferred module: optimizes the environment and security of the new energy power plant based on the environmental security preferred scheme.

[0010] Furthermore, the auxiliary monitoring value is obtained by the following method: obtaining the monitoring judgment value of each monitoring data in the indicator, summing up the monitoring judgment values ​​of all monitoring data and taking the average value, obtaining the monitoring judgment average value Avh, setting the monitoring judgment threshold, when the monitoring judgment value is greater than or equal to the monitoring judgment threshold, marking the monitoring data as deviation data, when the monitoring judgment value is less than the monitoring judgment threshold, marking the monitoring data as compliance data, obtaining the total number of deviation groups Srt and the total number of compliance groups Gtd, and using the formula The auxiliary monitoring value Fjz of the indicator is obtained, where j1 is the monitoring judgment mean coefficient, j2 is the total number coefficient of the deviation group, and j3 is the total number coefficient of the compliance distance group.

[0011] Furthermore, the monitoring judgment value of each monitoring data in the indicator is obtained, specifically: all monitoring data of the indicator within a period of t are obtained, the auxiliary monitoring models corresponding to all monitoring data are obtained, the monitoring data are input into the corresponding auxiliary monitoring model, and then the monitoring judgment value of each monitoring data is obtained.

[0012] Furthermore, the total number of deviation groups Srt and the total number of compliance distance groups Gtd are obtained in the following manner: all deviation data are grouped together in pairs, the monitoring judgment values ​​of the two deviation data in the same group are summed to obtain the monitoring deviation value, a monitoring deviation threshold is set, and when the monitoring deviation value is greater than or equal to the monitoring deviation threshold, the group of deviation data is marked as a deviation group; when the monitoring deviation value is less than the monitoring deviation threshold, no processing is performed, and the total number of deviation groups is marked as Srt; all compliance data are grouped together in pairs, the monitoring judgment values ​​of the two compliance data in the same group are calculated by difference and the absolute value is taken to obtain the monitoring compliance distance value; a monitoring compliance distance threshold is set; when the monitoring compliance distance value is greater than or equal to the monitoring compliance distance threshold, the group of compliance data is marked as a compliance distance group; when the monitoring compliance distance value is less than the monitoring compliance distance threshold, no processing is performed, and the total number of compliance distance groups is marked as Gtd.

[0013] Furthermore, the environmental security monitoring value of the new energy power plant is obtained based on the auxiliary monitoring value of the environmental index and the auxiliary monitoring value of the security index. Specifically, the auxiliary monitoring value of the environmental index and the auxiliary monitoring value of the security index are summed to obtain the auxiliary monitoring superposition value tsp, the auxiliary monitoring value of the environmental index and the auxiliary monitoring value of the security index are calculated by difference and the absolute value is taken to obtain the auxiliary monitoring gap value dsh, and the formula is used The environmental security monitoring value FKP of the new energy power plant is obtained, where s1 is the auxiliary monitoring superposition value coefficient and s2 is the auxiliary monitoring gap value coefficient.

[0014] Furthermore, based on the comparison results between the environmental security monitoring value and the environmental security optimization limit, it is determined whether it is necessary to optimize the environment and security of the new energy power plant. Specifically, every time an environmental security monitoring value is obtained, the environmental security optimization value of the new energy power plant is obtained, and the environmental security optimization limit is set. The environmental security optimization limit is the system threshold, and the setting size is set according to demand. When the environmental security optimization value is greater than or equal to the environmental security optimization limit, it is determined that the environment and security of the new energy power plant need to be optimized. When the environmental security optimization value is less than the environmental security optimization limit, no processing is performed.

[0015] Furthermore, the environmental security optimization value of the new energy power plant is obtained by the following method: obtain n environmental security monitoring values ​​obtained by the new energy power plant before the current time of the system, sort all environmental security monitoring values ​​in the order of time obtained, calculate the difference between the two adjacent environmental security monitoring values ​​after sorting and take the absolute value to obtain the environmental security fluctuation value SMb, set the environmental security fluctuation value coefficient as PAu, mark the environmental security monitoring value at the end of the sorting as EKs, and use the formula Obtain the environmental security optimization value Yra of the new energy power plant.

[0016] Furthermore, the environment and security of the new energy power plant are optimized based on the environmental security preferred solution. Specifically, when it is determined that the environment and security of the new energy power plant need to be optimized, all monitoring data of the environmental indicators and all monitoring data of the security indicators of the new energy power plant are obtained, all expected data of the environmental indicators and all expected data of the security indicators of the new energy power plant are set, a digital twin model is constructed according to all the monitoring data and expected data, a power plant simulation environment is generated based on the digital twin model, and based on multiple environmental security optimization solutions, the environmental security optimization value of each environmental security optimization solution is obtained, the environmental security optimization solution with the smallest environmental security optimization value is marked as the environmental security preferred solution, and the environment and security of the new energy power plant are optimized based on the environmental security preferred solution.

[0017] Furthermore, the environmental security optimization value of the environmental security optimization scheme is obtained in the following way: the environmental security optimization scheme is simulated, multiple time nodes with equal time intervals are set during the entire simulation process, and the environmental security monitoring value of the new energy power plant is obtained at each time node, and a rectangular coordinate system is constructed with the environmental security monitoring value as the Y-axis and the simulation time as the X-axis, and each point of the environmental security monitoring value corresponding to the time node is marked in the rectangular coordinate system, and adjacent points are connected together to form an environmental security monitoring broken line, and the two ends of the environmental security monitoring broken line are perpendicular to the X-axis to obtain two broken line perpendicular line segments, and a figure is formed by the environmental security monitoring broken line, the two broken line perpendicular line segments and the X-axis, and the total area of ​​the figure is marked as the environmental security optimization value.

[0018] Furthermore, a new energy power plant intelligent auxiliary monitoring method includes the following steps:

[0019] Step 1: Obtain auxiliary monitoring values ​​of environmental indicators and auxiliary monitoring values ​​of security indicators in the new energy power plant every t time;

[0020] Step 2: Obtaining the environmental security monitoring value of the new energy power plant based on the auxiliary monitoring value of the environmental index and the auxiliary monitoring value of the security index;

[0021] Step 3: Based on the comparison results of the environmental security monitoring value and the environmental security optimization limit value, determine whether it is necessary to optimize the environment and security of the new energy power plant;

[0022] Step 4: Optimize the environment and security of the new energy power plant based on the preferred environmental security solution.

[0023] Compared with the prior art, the present invention has the following beneficial effects:

[0024] 1. The method of the present invention can conduct three-dimensional in-depth monitoring and analysis of new energy power plants from the two dimensions of environment and security. By constructing a power plant simulation environment to obtain multiple environmental security optimization solutions, the environmental and security problems existing in new energy power plants can be efficiently and accurately processed and optimized;

[0025] 2. Set up auxiliary monitoring modules and environmental security analysis modules to ensure that the environment and security of new energy power plants can receive accurate and comprehensive abnormal analysis. Set up environmental security optimization modules and optimization plan preferred modules to promptly mark new energy power plants with abnormal environments and security. Through simulation analysis of each environmental security optimization plan, determine the preferred environmental security plan for new energy power plants. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] Figure 1 It is a flowchart of an intelligent auxiliary monitoring method for a new energy power plant;

[0027] Figure 2 A flowchart for selecting the preferred solution for environmental security. DETAILED DESCRIPTION

[0028] Example 1

[0029] Reference Figure 1 , a new energy power plant intelligent auxiliary monitoring method, comprising the following steps:

[0030] Step 1: Obtain auxiliary monitoring values ​​of environmental indicators and auxiliary monitoring values ​​of security indicators in the new energy power plant every t time;

[0031] Step 2: Obtaining the environmental security monitoring value of the new energy power plant based on the auxiliary monitoring value of the environmental index and the auxiliary monitoring value of the security index;

[0032] Step 3: Based on the comparison results of the environmental security monitoring value and the environmental security optimization limit value, determine whether it is necessary to optimize the environment and security of the new energy power plant;

[0033] Step 4: Optimize the environment and security of the new energy power plant based on the preferred environmental security solution.

[0034] Example 2

[0035] Reference Figure 2 , an intelligent auxiliary monitoring device for a new energy power plant, including an auxiliary monitoring module, an environmental security analysis module, an environmental security optimization module, and an optimization scheme preferred module.

[0036] Auxiliary monitoring module: obtain the auxiliary monitoring values ​​of environmental indicators and security indicators in the new energy power plant every t time.

[0037] Environmental security analysis module: The auxiliary monitoring value of the environmental index and the auxiliary monitoring value of the security index are summed to obtain the auxiliary monitoring superposition value tsp, and the auxiliary monitoring value of the environmental index and the auxiliary monitoring value of the security index are calculated and the absolute value is taken to obtain the auxiliary monitoring gap value dsh. The environmental security monitoring value FKP of the new energy power plant is obtained, where s1 is the auxiliary monitoring superposition value coefficient, s2 is the auxiliary monitoring gap value coefficient, the value of s1 is 0.96, and the value of s2 is 0.87.

[0038] By setting up auxiliary monitoring modules and environmental security analysis modules, three-dimensional in-depth monitoring and analysis of new energy power plants can be carried out from two dimensions: environment and security, ensuring that the environment and security of the new energy power plants can receive accurate and comprehensive abnormal analysis.

[0039] Environmental security optimization module: Every time an environmental security monitoring value is obtained, the environmental security optimization value of the new energy power plant is obtained, and the environmental security optimization limit is set. The environmental security optimization limit is the system threshold, and the setting size is set according to demand. When the environmental security optimization value is greater than or equal to the environmental security optimization limit, it is determined that the environment and security of the new energy power plant need to be optimized. When the environmental security optimization value is less than the environmental security optimization limit, no processing is performed.

[0040] The environmental security optimization value of the new energy power plant is obtained in the following way: obtain n environmental security monitoring values ​​obtained by the new energy power plant before the current time of the system, sort all the environmental security monitoring values ​​in the order of the time obtained, calculate the difference between the two adjacent environmental security monitoring values ​​after sorting and take the absolute value to obtain the environmental security fluctuation value SMb, set the environmental security fluctuation value coefficient to PAu, u=1, 2, 3, ...u, each environmental security fluctuation value coefficient PAu corresponds to a range of environmental security fluctuation value SMb, PA1<PA2<...<PAu, the range of environmental security fluctuation value SMb includes [0, SM1], (SM1, SM2], ..., (SMB-1, SMB], when SMb is 0, the environmental security fluctuation value coefficient is PA1, mark the environmental security monitoring value at the end of the sorting as EKs, and use the formula Obtain the environmental security optimization value Yra of the new energy power plant.

[0041] The auxiliary monitoring value is obtained in the following way: obtain the monitoring judgment value of each monitoring data in the indicator, sum and average the monitoring judgment values ​​of all monitoring data to obtain the monitoring judgment mean Avh, set the monitoring judgment threshold, when the monitoring judgment value is greater than or equal to the monitoring judgment threshold, mark the monitoring data as deviation data, when the monitoring judgment value is less than the monitoring judgment threshold, mark the monitoring data as compliance data, group all deviation data into a group, sum the monitoring judgment values ​​of two deviation data in the same group to obtain the monitoring deviation and value, set the monitoring deviation and threshold, the monitoring deviation and threshold is the system threshold, and the setting size is set according to the needs. When the monitoring deviation and value is large When the monitoring deviation value is equal to the monitoring deviation threshold, the group of deviation data is marked as deviation group. When the monitoring deviation value is less than the monitoring deviation threshold, no processing is performed. The total number of deviation groups is marked as Srt. All compliant data are grouped together in pairs. The difference between the monitoring judgment values ​​of two compliant data in the same group is calculated and the absolute value is taken to obtain the monitoring compliance distance value. The monitoring compliance distance threshold is set. The monitoring compliance distance threshold is the system threshold. The setting size is set according to the needs. When the monitoring compliance distance value is greater than or equal to the monitoring compliance distance threshold, the group of compliant data is marked as a compliance distance group. When the monitoring compliance distance value is less than the monitoring compliance distance threshold, no processing is performed. The total number of compliance distance groups is marked as Gtd. Using the formula The auxiliary monitoring value Fjz of the indicator is obtained, where j1 is the monitoring judgment mean coefficient, j2 is the total number coefficient of the deviation group, and j3 is the total number coefficient of the compliance group. The value of j1 is 1.51, the value of j2 is 1.32, and the value of j3 is 1.59.

[0042] Obtain the monitoring judgment value of each monitoring data in the indicator, specifically: obtain all monitoring data of the indicator within a time length of t (if it is an environmental indicator, it includes but is not limited to the following monitoring data: temperature data, humidity data, air quality data; if it is a security indicator, it includes but is not limited to the following parameters: fire data, access control data, video surveillance data, vehicle identification data, the method of obtaining the corresponding data is not the focus of this application, and the corresponding data can be obtained according to existing technical methods, such as obtaining temperature data and humidity data through temperature and humidity sensors, obtaining air quality data through air quality detectors, and obtaining access control data through access control systems. The rest will not be elaborated), obtain the auxiliary monitoring models corresponding to all monitoring data (each monitoring data corresponds to an independent auxiliary monitoring model), input the monitoring data into the corresponding auxiliary monitoring model, and then obtain the monitoring judgment value of each monitoring data.

[0043] In order to ensure the safety and stable operation of new energy power plants, it is necessary to monitor the monitoring data of environmental indicators and security indicators in new energy power plants. Different monitoring data correspond to different auxiliary monitoring models. Different auxiliary monitoring models are trained in the same way. It is only necessary to replace the training data in the training. The following takes temperature data as an example to introduce the construction method of the auxiliary monitoring model: collect m groups of temperature data, and the specific data contained in each group of temperature data is displayed in the form of a data set. The data set is {average temperature within t time, maximum temperature within t time, minimum temperature within t time, temperature change rate within t time}. The specific data contained in the data set includes but is not limited to the above. The m groups of temperature data are used as training data of the neural network model, and monitoring judgment values ​​are assigned to the training data. The training data is iteratively trained with the neural network to obtain an auxiliary monitoring model for temperature data. The value range of the monitoring judgment value is (2~4). The larger the value of the monitoring judgment value, the less the temperature data meets the environmental indicators. The smaller the value of the monitoring judgment value, the more the temperature data meets the environmental indicators. The value range of the monitoring judgment value of all auxiliary monitoring models is the same, and the specific method of iterative training of the neural network is the existing method, so it is not repeated.

[0044] Optimization scheme preferred module: When it is determined that the environment and security of the new energy power plant need to be optimized, all monitoring data of the environmental indicators and all monitoring data of the security indicators of the new energy power plant are obtained, and all expected data of the environmental indicators and all expected data of the security indicators of the new energy power plant are set (the expected data is the specific value of the corresponding data when the indicators of the new energy power plant are met, such as the specific value of the temperature data and the specific value of the humidity data, and the expected data corresponds to the monitoring data). A digital twin model is constructed according to all the monitoring data and the expected data, and a power plant simulation environment is generated based on the digital twin model. Based on multiple environmental security optimization schemes, the environmental security optimization value of each environmental security optimization scheme is obtained, and the environmental security optimization scheme with the smallest environmental security optimization value is marked as the environmental security preferred scheme, and the environment and security of the new energy power plant are optimized based on the environmental security preferred scheme.

[0045] The environmental security optimization value of the environmental security optimization scheme is obtained in the following way: simulate the environmental security optimization scheme, set multiple time nodes with equal time intervals in the entire simulation process (the time interval is adjusted according to demand), obtain the environmental security monitoring value of the new energy power plant at each time node, construct a rectangular coordinate system with the environmental security monitoring value as the Y-axis and the simulation time as the X-axis, mark each point of the environmental security monitoring value corresponding to the time node in the rectangular coordinate system, connect adjacent points together to form an environmental security monitoring broken line, draw perpendicular lines from both ends of the environmental security monitoring broken line to the X-axis to obtain two broken line perpendicular line segments, and form a figure with the environmental security monitoring broken line, the two broken line perpendicular line segments and the X-axis, and mark the total area of ​​the figure as the environmental security optimization value.

[0046] Set up an environmental security optimization module and an optimization scheme preferred module to promptly mark new energy power plants with abnormal environments and security, and obtain multiple environmental security optimization schemes by building a power plant simulation environment. Through simulation and analysis of each environmental security optimization scheme, the preferred environmental security scheme for new energy power plants is determined, and the environmental and security problems existing in new energy power plants are efficiently and accurately handled and optimized.

[0047] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters in the formula are set by technicians in this field according to actual conditions.

[0048] The above embodiments can be implemented in whole or in part by software, hardware, firmware or any other combination. When implemented by software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, the process or function described in the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from one website site, computer, server or data center to another website site, computer, server or data center by wired or wireless (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that contains one or more available media sets. The available medium can be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state hard disk.

[0049] It should be understood that in the various embodiments of the present application, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0050] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0051] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0052] In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0053] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application can be essentially or partly embodied in the form of a software product that contributes to the prior art. The computer software product is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in the various embodiments of the present application. The aforementioned storage media include: various media that can store program codes, such as USB flash drives, mobile hard disks, read-only memories (ROM), random access memories (RAM), magnetic disks or optical disks.

[0054] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. An intelligent auxiliary monitoring device for a new energy power plant, characterized in that: Including auxiliary monitoring module, environmental security analysis module, environmental security optimization module, and optimization solution preferred module; The auxiliary monitoring module: obtains auxiliary monitoring values ​​of environmental indicators and auxiliary monitoring values ​​of security indicators in the new energy power plant every t time; The environmental security analysis module: obtains the environmental security monitoring value of the new energy power plant based on the auxiliary monitoring value of the environmental index and the auxiliary monitoring value of the security index; The environmental security optimization module determines whether it is necessary to optimize the environment and security of the new energy power plant based on the comparison result between the environmental security monitoring value and the environmental security optimization limit value; The optimization scheme preferred module: optimizes the environment and security of the new energy power plant based on the environmental security preferred scheme; The auxiliary monitoring value is obtained in the following way: obtain the monitoring judgment value of each monitoring data in the indicator, sum and average the monitoring judgment values ​​of all monitoring data to obtain the monitoring judgment mean value Avh, set the monitoring judgment threshold, when the monitoring judgment value is greater than or equal to the monitoring judgment threshold, mark the monitoring data as deviation data, when the monitoring judgment value is less than the monitoring judgment threshold, mark the monitoring data as compliance data, obtain the total number of deviation groups Srt and the total number of compliance groups Gtd, and use the formula The auxiliary monitoring value Fjz of the indicator is obtained, where j1 is the monitoring judgment mean coefficient, j2 is the total number coefficient of the deviation group, and j3 is the total number coefficient of the compliance distance group; Obtaining the monitoring judgment value of each monitoring data in the indicator, specifically: obtaining all monitoring data of the indicator within a time length of t, obtaining the auxiliary monitoring model corresponding to all the monitoring data, inputting the monitoring data into the corresponding auxiliary monitoring model, and then obtaining the monitoring judgment value of each monitoring data; The total number of deviation groups Srt and the total number of compliance distance groups Gtd are obtained in the following way: all deviation data are grouped together in pairs, the monitoring judgment values ​​of the two deviation data in the same group are summed to obtain the monitoring deviation value, and the monitoring deviation threshold is set. When the monitoring deviation value is greater than or equal to the monitoring deviation threshold, the group of deviation data is marked as a deviation group. When the monitoring deviation value is less than the monitoring deviation threshold, no processing is performed, and the total number of deviation groups is marked as Srt. All compliance data are grouped together in pairs, the monitoring judgment values ​​of the two compliance data in the same group are calculated by difference and the absolute value is taken to obtain the monitoring compliance distance value. The monitoring compliance distance threshold is set. When the monitoring compliance distance value is greater than or equal to the monitoring compliance distance threshold, the group of compliance data is marked as a compliance distance group. When the monitoring compliance distance value is less than the monitoring compliance distance threshold, no processing is performed, and the total number of compliance distance groups is marked as Gtd.

2. According to claim 1, the intelligent auxiliary monitoring device for a new energy power plant is characterized in that: The environmental security monitoring value of the new energy power plant is obtained based on the auxiliary monitoring value of the environmental indicators and the auxiliary monitoring value of the security indicators. Specifically, the auxiliary monitoring value of the environmental indicators and the auxiliary monitoring value of the security indicators are summed to obtain the auxiliary monitoring superposition value tsp, the auxiliary monitoring value of the environmental indicators and the auxiliary monitoring value of the security indicators are calculated and the absolute value is taken to obtain the auxiliary monitoring gap value dsh, and the formula is used The environmental security monitoring value FKP of the new energy power plant is obtained, where s1 is the auxiliary monitoring superposition value coefficient and s2 is the auxiliary monitoring gap value coefficient.

3. According to claim 1, the intelligent auxiliary monitoring device for a new energy power plant is characterized in that: Based on the comparison results of the environmental security monitoring value and the environmental security optimization limit, determine whether it is necessary to optimize the environment and security of the new energy power plant. Specifically, every time an environmental security monitoring value is obtained, the environmental security optimization value of the new energy power plant is obtained, and the environmental security optimization limit is set. The environmental security optimization limit is the system threshold, and the setting size is set according to demand. When the environmental security optimization value is greater than or equal to the environmental security optimization limit, it is determined that the environment and security of the new energy power plant need to be optimized. When the environmental security optimization value is less than the environmental security optimization limit, no processing is performed.

4. The intelligent auxiliary monitoring device for a new energy power plant according to claim 3 is characterized in that: The environmental security optimization value of the new energy power plant is obtained by the following method: obtain n environmental security monitoring values ​​obtained by the new energy power plant before the current system time, sort all environmental security monitoring values ​​in the order of time obtained, calculate the difference between the two adjacent environmental security monitoring values ​​after sorting and take the absolute value to obtain the environmental security fluctuation value SMb, set the environmental security fluctuation value coefficient to PAu, mark the environmental security monitoring value at the end of the sorting as EKs, and use the formula Obtain the environmental security optimization value Yra of the new energy power plant.

5. The intelligent auxiliary monitoring device for a new energy power plant according to claim 1 is characterized in that: The environment and security of the new energy power plant are optimized based on the preferred environmental security solution. Specifically, when it is determined that the environment and security of the new energy power plant need to be optimized, all monitoring data of the environmental indicators and all monitoring data of the security indicators of the new energy power plant are obtained, all expected data of the environmental indicators and all expected data of the security indicators of the new energy power plant are set, a digital twin model is constructed according to all the monitoring data and the expected data, a power plant simulation environment is generated based on the digital twin model, and based on multiple environmental security optimization solutions, the environmental security solution value of each environmental security optimization solution is obtained, the environmental security optimization solution with the smallest environmental security solution value is marked as the preferred environmental security solution, and the environment and security of the new energy power plant are optimized based on the preferred environmental security solution.

6. The intelligent auxiliary monitoring device for a new energy power plant according to claim 5 is characterized in that: The environmental security scheme value of the environmental security optimization scheme is obtained in the following way: simulate the environmental security optimization scheme, set multiple time nodes with equal time intervals in the entire simulation process, obtain the environmental security monitoring value of the new energy power plant at each time node, construct a rectangular coordinate system with the environmental security monitoring value as the Y-axis and the simulation time as the X-axis, mark each point of the environmental security monitoring value corresponding to the time node in the rectangular coordinate system, connect adjacent points together to form an environmental security monitoring broken line, draw perpendicular lines from both ends of the environmental security monitoring broken line to the X-axis to obtain two broken line perpendicular line segments, and form a figure with the environmental security monitoring broken line, the two broken line perpendicular line segments and the X-axis, and mark the total area of ​​the figure as the environmental security scheme value.

7. A new energy power plant intelligent auxiliary monitoring method, applied to a new energy power plant intelligent auxiliary monitoring device according to any one of claims 1 to 6, characterized in that: The steps include: Step 1: Obtain auxiliary monitoring values ​​of environmental indicators and auxiliary monitoring values ​​of security indicators in the new energy power plant every t time; Step 2: Obtaining the environmental security monitoring value of the new energy power plant based on the auxiliary monitoring value of the environmental index and the auxiliary monitoring value of the security index; Step 3: Based on the comparison results of the environmental security monitoring value and the environmental security optimization limit value, determine whether it is necessary to optimize the environment and security of the new energy power plant; Step 4: Optimize the environment and security of the new energy power plant based on the preferred environmental security solution.

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