New energy equipment dynamic monitoring method and system, medium and product

Abstract

The invention discloses a new energy equipment dynamic monitoring method and system, a medium and a product, and relates to the field of new energy equipment monitoring. By adopting the technical scheme, the monitoring system comprehensively analyzes the current fluctuation characteristics, the load change characteristics and the environmental influence characteristics, and constructs a double-track monitoring model of the current characteristic track and the load characteristic track. The method not only considers the dynamic change process of the current and the load, but also calculates the matching degree of the current change and the load change, and corrects the correlation degree of the current characteristic track and the load characteristic track in combination with the influence of environmental factors, so that the abnormal operation of the new energy equipment is found in time, and the monitoring result is more accurate and reliable. And when a dangerous operation state occurs, the monitoring system can automatically control the new energy equipment to stop operation, so that equipment damage and safety accidents are effectively prevented. Compared with a traditional single-parameter monitoring mode, the multi-dimensional and dynamic monitoring method has higher early warning capability and higher reliability.

Description

Technical Field

[0001] This application relates to the field of new energy equipment monitoring, and particularly to a method, system, medium and product for dynamically monitoring new energy equipment. Background Art

[0002] With the rapid development of new energy technologies, new energy equipment is increasingly widely used in industrial production and daily life. The safe and stable operation of new energy equipment is directly related to power safety and production efficiency. Therefore, it is of great significance to monitor new energy equipment in real time and manage it effectively.

[0003] Currently, the monitoring of new energy equipment mainly adopts the method of regular inspection. By checking the new energy equipment at preset time intervals, basic parameters such as the current and voltage of the new energy equipment are recorded. Monitoring personnel compare these basic parameters with preset parameter thresholds. When the parameters exceed the preset parameter thresholds, an alarm signal is sent to indicate that the new energy equipment may be abnormal.

[0004] However, due to the complex and changeable operating environment of new energy equipment, the equipment load often changes dynamically. Especially in severe weather or when the power grid fluctuates greatly, environmental and load factors will significantly affect the operating parameters of new energy equipment, resulting in a deviation between the monitoring results and the actual operating state, and potential equipment failures cannot be detected in time, affecting the safe operation of the equipment. Summary of the Invention

[0005] This application provides a method, system, medium and product for dynamically monitoring new energy equipment, which is used to improve the accuracy of monitoring the operating state of new energy equipment.

[0006] In a first aspect, the present application provides a method for dynamically monitoring a new energy device, which is applied to a monitoring system. The method includes: collecting the current fluctuation characteristics, load change characteristics, and environmental impact characteristics of the new energy device. The current fluctuation characteristics include amplitude, frequency, and phase. The amplitude refers to the peak value of the current magnitude, the frequency refers to the periodicity of the current change, and the phase refers to the time lead or lag of the current waveform. The load change characteristics include the power curve and the power consumption pattern. The environmental impact characteristics include the environmental temperature and electromagnetic interference; constructing a current feature trajectory based on the amplitude, frequency, and phase, where the current feature trajectory is used to represent the dynamic change process of the current when the new energy device is operating; extracting the power curve slope and the periodicity of the power consumption pattern from the load change characteristics to construct a load feature trajectory, where the load feature trajectory is used to represent the dynamic change process of the load when the new energy device is operating; determining an environmental impact coefficient based on the environmental temperature and electromagnetic interference, where the environmental impact coefficient is used to represent the influence intensity of the environmental temperature and electromagnetic interference on the operation of the new energy device; performing a time series comparison on the current feature trajectory and the load feature trajectory, and calculating a correlation degree, where the correlation degree is used to represent the matching degree between the current change and the load change; applying the environmental impact coefficient to the correlation degree to obtain a corrected coupling feature; determining the device operation state based on the corrected coupling feature, where the device operation state includes safe operation, warning operation, and dangerous operation; and when the device operation state is dangerous operation, controlling the new energy device to stop operating.

[0007] By adopting the above technical solution, the monitoring system comprehensively analyzes the current fluctuation characteristics, load change characteristics, and environmental impact characteristics, and constructs a double-trajectory monitoring model of the current feature trajectory and the load feature trajectory. This method not only considers the dynamic change processes of the current and the load, but also calculates the matching degree between the current change and the load change, and combines the influence of environmental factors to correct the correlation degree of the current feature trajectory and the load feature trajectory, so as to timely detect the abnormal operation of the new energy device and make the monitoring results more accurate and reliable. When a dangerous operation state occurs, the monitoring system will automatically control the new energy device to stop operating, effectively preventing equipment damage and safety accidents. This multi-dimensional and dynamic monitoring method has stronger early warning capabilities and higher reliability compared with the traditional single-parameter monitoring method.

[0008] Combined with some embodiments of the first aspect, in some embodiments, constructing a current feature trajectory based on the amplitude, frequency, and phase specifically includes: mapping the amplitude, frequency, and phase in a three-dimensional coordinate system to obtain current feature points; performing time series connection on the current feature points to obtain an original current trajectory; calculating a current feature vector based on the original current trajectory, where the current feature vector includes trajectory curvature, trajectory length, and trajectory direction; establishing a feature space model according to the current feature vector, and using the feature space model as the current feature trajectory.

[0009] By adopting the above technical solution, the monitoring system maps the amplitude, frequency and phase in a three-dimensional coordinate system to obtain current feature points, and connects the current feature points in time sequence to innovatively construct a current feature trajectory. This method can not only intuitively reflect the dynamic process of current change, but also quantitatively describe the feature of each dimension of current change through the current feature vector. Compared with the traditional waveform analysis method, it can monitor the current change more comprehensively.

[0010] Combined with some embodiments of the first aspect, in some embodiments, the power curve slope and the periodicity of the power consumption pattern are extracted from the load change features to construct a load feature trajectory, which specifically includes: determining the periodic load pattern according to the periodicity of the power consumption pattern; mapping the power curve slope and the periodic load pattern on a two-dimensional plane to generate load change feature points; connecting the load change feature points in chronological order to obtain a load feature trajectory.

[0011] By adopting the above technical solution, the monitoring system analyzes the periodic characteristics of the power consumption pattern to determine the periodic load pattern, and constructs a load feature trajectory on a two-dimensional plane in combination with the power curve slope, which not only considers the instantaneous feature of load change (power curve slope), but also includes the long-term operation feature (periodic load pattern). The monitoring system connects the load change feature points in chronological order to form a load feature trajectory, which can completely record the load change process. This dual feature analysis method has more advantages than simply monitoring the power change, can more accurately reflect the actual operation state of the new energy equipment, and provides a more reliable basis for equipment anomaly detection.

[0012] Combined with some embodiments of the first aspect, in some embodiments, the current feature trajectory and the load feature trajectory are compared in time sequence, and the correlation degree is calculated. The correlation degree is used to represent the matching degree between the current change and the load change, which specifically includes: generating a time sequence mapping matrix according to the time sampling sequence of the current feature trajectory and the time sampling sequence of the load feature trajectory, and the time sequence mapping matrix is used to represent the corresponding relationship between the current feature trajectory and the load feature trajectory in the time dimension; based on the time sequence mapping matrix, calculating the Euclidean distance between the current feature trajectory point and the load feature trajectory point at the corresponding moment to construct a distance calculation matrix, and each element in the distance calculation matrix is used to represent the Euclidean distance size between the current feature trajectory point and the load feature trajectory point at the corresponding moment; taking the current feature trajectory points and the load feature trajectory points with the Euclidean distance less than the preset distance threshold in the distance calculation matrix as matching points, and counting the number of matching points; dividing the number of matching points by the total number of pairs of the current feature trajectory points and the load feature trajectory points to obtain the correlation degree.

[0013] By adopting the above technical solutions, the monitoring system establishes a timing mapping matrix, achieving an accurate correspondence between the current feature trajectory and the load feature trajectory in the time dimension. The monitoring system calculates the Euclidean distance between the current feature trajectory points and the load feature trajectory points at corresponding times to quantitatively evaluate the matching degree between the current change and the load change. The monitoring system introduces a preset distance threshold to determine the matching points, and calculates the correlation degree through the ratio of the number of matching points to the total number of point pairs, making the evaluation result more objective and reliable, avoiding the subjectivity of traditional empirical judgment, and improving the accuracy of anomaly detection.

[0014] Combined with some embodiments of the first aspect, in some embodiments, the environmental impact coefficient is applied to the correlation degree to obtain a corrected coupling feature, which specifically includes: according to the environmental impact coefficient, a correction function is established, and the correction function decreases as the environmental impact coefficient increases; substituting the correlation degree into the correction function to obtain the corrected coupling feature.

[0015] By adopting the above technical solutions, the monitoring system establishes a correction function that decreases as the environmental impact coefficient increases, realizing the dynamic correction of the environmental factors on the evaluation of the equipment operation state. This correction mechanism takes into account the adverse effects of environmental temperature and electromagnetic interference on the operation of new energy equipment. By quantitatively applying the environmental impact to the correlation degree through the correction function, a more accurate corrected coupling feature is obtained, overcoming the limitation of traditional monitoring methods that ignore environmental impacts and making the monitoring results more in line with the actual operation situation.

[0016] Combined with some embodiments of the first aspect, in some embodiments, after the step of determining the equipment operation state based on the corrected coupling feature, where the equipment operation state includes safe operation, warning operation, and dangerous operation, the method further includes: when the equipment operation state is warning operation, calculating the transition probability of the equipment operation state being dangerous operation; when the transition probability is less than or equal to a preset first transition probability threshold, recording the current state; when the transition probability is greater than the preset first transition probability threshold and less than or equal to a preset second transition probability threshold, adjusting the operation parameters of the new energy equipment; when the transition probability is greater than the preset second transition probability threshold, triggering a protection measure.

[0017] By adopting the above technical solutions, the monitoring system calculates the transition probability from the warning operation state to the dangerous operation state, realizing a more refined equipment state management. When the transition probability is in different intervals, the monitoring system will take corresponding treatment measures, avoiding the sudden protection in traditional monitoring methods, ensuring the safety of the equipment and reducing unnecessary shutdowns, making the response of the monitoring system more flexible and reasonable.

[0018] In some embodiments in combination with some embodiments of the first aspect, when the migration probability is greater than a preset first migration probability threshold and less than or equal to a preset second migration probability threshold, the operating parameters of the new energy device are adjusted, which specifically includes: determining the current fluctuation amplitude, load change rate, and ambient temperature change rate of the new energy device within a preset duration; respectively calculating the deviations of the current fluctuation amplitude, load change rate, and ambient temperature change rate from the corresponding safety thresholds; when the deviation of the current fluctuation amplitude is the largest, giving priority to current limiting; when the deviation of the load change rate is the largest, giving priority to load regulation; and when the deviation of the ambient temperature change rate is the largest, giving priority to temperature control.

[0019] By adopting the above technical solution, the monitoring system determines the current fluctuation amplitude, load change rate, and ambient temperature change rate within a preset duration, calculates the deviations according to the corresponding safety thresholds, and thus identifies the parameter that most needs to be adjusted. According to the type of the parameter with the largest deviation, the monitoring system will give priority to implementing the corresponding control measures: current limiting, load regulation, or temperature control. This differentiated adjustment strategy enables the monitoring system to specifically solve the most prominent problems, improving the adjustment efficiency and accuracy.

[0020] In a second aspect, an embodiment of the present application provides a monitoring system, which includes: one or more processors and a memory; the memory is coupled to the one or more processors, and the memory is used to store computer program code, and the computer program code includes computer instructions. The one or more processors call the computer instructions to enable the monitoring system to execute the method described in the first aspect and any possible implementation manner in the first aspect.

[0021] In a third aspect, an embodiment of the present application provides a computer program product containing instructions. When the above computer program product runs on the monitoring system, it enables the above monitoring system to execute the method described in the first aspect and any possible implementation manner in the first aspect.

[0022] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, including instructions. When the above instructions run on the monitoring system, it enables the above monitoring system to execute the method described in the first aspect and any possible implementation manner in the first aspect.

[0023] It can be understood that the monitoring system provided in the second aspect above, the computer program product provided in the third aspect, and the computer storage medium provided in the fourth aspect are all used to execute the method provided in the embodiments of the present application. Therefore, the beneficial effects that can be achieved can refer to the beneficial effects in the corresponding method, which will not be elaborated here.

[0024] One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages: 1. By adopting the above technical solution, the monitoring system comprehensively analyzes the current fluctuation characteristics, load change characteristics, and environmental impact characteristics, and constructs a dual-trajectory monitoring model for the current characteristic trajectory and the load characteristic trajectory. This method not only considers the dynamic change process of the current and the load, but also calculates the matching degree between the current change and the load change, and combines the influence of environmental factors to correct the correlation degree between the current characteristic trajectory and the load characteristic trajectory, so as to timely detect the abnormal operation of new energy equipment and make the monitoring results more accurate and reliable. When a dangerous operating state occurs, the monitoring system will automatically control the new energy equipment to stop running, effectively preventing equipment damage and safety accidents. This multi-dimensional and dynamic monitoring method has stronger early warning ability and higher reliability compared with the traditional single-parameter monitoring method.

[0025] 2. By adopting the above technical solution, the monitoring system analyzes the periodic characteristics of the power consumption pattern to determine the periodic load pattern, and constructs the load characteristic trajectory on the two-dimensional plane in combination with the slope of the power curve. It not only considers the instantaneous characteristics of the load change (the slope of the power curve), but also includes the long-term operating characteristics (the periodic load pattern). The monitoring system connects the load change characteristic points in chronological order to form the load characteristic trajectory, which can completely record the load change process. This dual-characteristic analysis method has more advantages than simply monitoring the power change, can more accurately reflect the actual operating state of the new energy equipment, and provides a more reliable basis for equipment anomaly detection.

[0026] 3. By adopting the above technical solution, the monitoring system establishes a time-sequence mapping matrix to achieve the precise correspondence between the current characteristic trajectory and the load characteristic trajectory in the time dimension. The monitoring system calculates the Euclidean distance between the current characteristic trajectory point and the load characteristic trajectory point at the corresponding moment to quantitatively evaluate the matching degree between the current change and the load change. The monitoring system introduces a preset distance threshold to determine the matching points, and calculates the correlation degree through the ratio of the number of matching points to the total number of point pairs, making the evaluation result more objective and reliable, avoiding the subjectivity of traditional empirical judgment, and improving the accuracy of anomaly detection. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 is a schematic flow chart of the new energy equipment dynamic monitoring method in an embodiment of the present application; Figure 2 is another schematic flow chart of the new energy equipment dynamic monitoring method in an embodiment of the present application; Figure 3 is a schematic structural diagram of an entity device of the monitoring system in an embodiment of the present application. DETAILED DESCRIPTION OF THE INVENTION

[0028] The terms used in the following embodiments of the present application are only for the purpose of describing specific embodiments and are not intended to limit the present application. As used in the specification of the present application, the singular forms "a", "an", "above-mentioned", "the", and "this" are also intended to include the plural forms unless the context clearly indicates otherwise. It should also be understood that the term "and / or" used in the present application refers to any or all possible combinations including one or more of the listed items.

[0029] Hereinafter, the terms "first" and "second" are only used for descriptive purposes and cannot be construed as implying or suggesting relative importance or implicitly indicating the quantity of the indicated technical features. Thus, the features defined with "first" and "second" may explicitly or implicitly include one or more of such features. In the description of the embodiments of the present application, unless otherwise specified, the meaning of "a plurality" is two or more.

[0030] The following describes the process of the method provided in this embodiment. Please refer to Figure 1 , which is a schematic flowchart of a new energy device dynamic monitoring method in an embodiment of the present application.

[0031] S101. Collect the current fluctuation characteristics, load change characteristics, and environmental impact characteristics of the new energy device. The current fluctuation characteristics include amplitude, frequency, and phase. The amplitude refers to the peak value of the current magnitude. The frequency refers to the periodicity of the current change. The phase refers to the time lead or lag of the current waveform. The load change characteristics include the power curve and the power consumption pattern. The environmental impact characteristics include the environmental temperature and electromagnetic interference; Among them, the new energy device refers to a device that generates electricity or stores energy using renewable energy, such as a photovoltaic power generation device, a wind power generation device, a energy storage device, etc. The current fluctuation characteristics refer to the characteristic parameters of the current change during the operation of the new energy device, including three dimensions: amplitude, frequency, and phase. The amplitude represents the difference between the maximum value and the minimum value of the current fluctuation. The frequency represents the number of times the current completes a periodic change per unit time, with the unit of hertz (Hz). The phase represents the time difference between the current waveform and the standard reference waveform. The load change characteristics refer to the change of the electrical load borne by the new energy device over time, including the power curve and the power consumption pattern. The power curve refers to the curve of the power of the new energy device changing over time. The power consumption pattern refers to the power consumption rules and characteristics of the new energy device. The environmental impact characteristics are used to represent the degree of influence of the external environment on the operation of the new energy device, including two aspects: environmental temperature and electromagnetic interference. The environmental temperature refers to the real-time temperature value of the operation environment of the new energy device. The electromagnetic interference refers to the degree of interference of the external electromagnetic field on the normal operation of the new energy device.

[0032] Specifically, the monitoring system collects real-time current data during the operation of new energy devices through built-in current sensors (current and voltage can be converted into each other, which is not limited here), including the instantaneous value and change trend of the current. The monitoring system analyzes the collected real-time current data to extract the amplitude, frequency, and phase of the current. At the same time, the monitoring system records the real-time power data of new energy devices through the power metering unit, and obtains the power curve and power consumption pattern by combining historical data analysis. In addition, the monitoring system also collects ambient temperature data and electromagnetic interference data through temperature sensors and electromagnetic field strength detectors. All the collected data will be stored in real time by the monitoring system and used for subsequent analysis.

[0033] S102. Construct a current characteristic trajectory based on the amplitude, frequency, and phase. The current characteristic trajectory is used to represent the dynamic change process of the current during the operation of new energy devices. Among them, the current characteristic trajectory refers to a curve that describes the dynamic change of the current in a three-dimensional characteristic space. The three-dimensional characteristic space refers to a three-dimensional space constructed with amplitude, frequency, and phase as the coordinate axes. The dynamic change process of the current refers to the continuous change of current parameters over time.

[0034] Specifically, first, the monitoring system normalizes the amplitude, frequency, and phase of the collected current so that they are mapped to a unified numerical interval. Then, in the three-dimensional characteristic space, the monitoring system uses the normalized characteristic values at each sampling moment as coordinate values to generate corresponding current characteristic points. The monitoring system connects these current characteristic points in chronological order to form the original current trajectory. Next, the monitoring system calculates the geometric characteristics of the original current trajectory, including the curvature, cumulative trajectory length, and trajectory tangent vector direction at each current characteristic point. Finally, the monitoring system constructs a characteristic space model based on these geometric characteristics as the final current characteristic trajectory.

[0035] Optionally, generally, constructing a current characteristic trajectory based on the amplitude, frequency, and phase can be achieved through the following methods (not limited here): map the amplitude, frequency, and phase in a three-dimensional coordinate system to obtain current characteristic points; connect the current characteristic points in time sequence to obtain the original current trajectory; based on the original current trajectory, calculate the current characteristic vector, and the current characteristic vector includes trajectory curvature, trajectory length, and trajectory direction; establish a characteristic space model according to the current characteristic vector and use the characteristic space model as the current characteristic trajectory.

[0036] Among them, the current characteristic point refers to the mapping point of the current characteristics at a certain moment in the three-dimensional characteristic space. The original current trajectory refers to the space curve formed by connecting the time-sequence current characteristic points. The current characteristic vector is used to represent the geometric characteristics of the current characteristic trajectory, including three dimensions: trajectory curvature, trajectory length, and trajectory direction.

[0037] Assume that the current data collected by the monitoring system at 5 consecutive moments are as follows: Time t1: amplitude = 100A, frequency = 50Hz, phase = 0°; Time t2: amplitude = 120A, frequency = 49.8Hz, phase = 5°; Time t3: amplitude = 150A, frequency = 49.5Hz, phase = 15°; Time t4: amplitude = 130A, frequency = 49.7Hz, phase = 10°; Time t5: amplitude = 95A, frequency = 50.1 Hz, phase = -5°.

[0038] Standardization processing (assuming standardization to the [0, 1] interval): t1: (0.4, 0.5, 0.5)→P1; t2: (0.5, 0.48, 0.55)→P2; t3: (0.7, 0.45, 0.65)→P3; t4: (0.55, 0.47, 0.6)→P4; t5: (0.35, 0.51, 0.45)→P5.

[0039] Current feature point generation: Each standardized data point forms a point in the three-dimensional feature space, and the coordinate values are (amplitude, frequency, phase).

[0040] Original current trajectory: connect P1→P2→P3→P4→P5 in time sequence to form a spatial curve.

[0041] Computational geometric features: (1) The curvature of the trajectory is the largest at P3, indicating that the current parameter changes most dramatically here; (2) The total length of the trajectory is approximately equal to 0.8 unit length; (3) The overall direction of the trajectory shows a trend of first rising and then falling.

[0042] Feature space model: Based on the above geometric characteristics, the characteristics of the current characteristic trajectory during this period can be obtained: the current amplitude experienced a process of first increasing and then decreasing, the frequency fluctuated slightly but was basically stable, the phase had an obvious fluctuation process, and a large fluctuation occurred at time t3 (point P3), which requires special attention.

[0043] This current characteristic trajectory reflects that the new energy equipment may have experienced a sudden load change (at t3) during this period, but the overall operating state is basically stable. Through the analysis of this three-dimensional characteristic trajectory, the time and degree of abnormal current changes can be intuitively discovered.

[0044] S103. Extract the power curve slope and the periodicity of the power consumption pattern from the load change characteristics to construct a load characteristic trajectory, which is used to represent the dynamic load change process during the operation of the new energy device; Among them, the power curve slope refers to the rate of change of the load with time during the operation of the new energy device. The periodicity of the power consumption pattern refers to the repeating pattern of the load change. The load characteristic trajectory is used to represent the dynamic trajectory of the load changing with time during the operation of the new energy device.

[0045] Specifically, first, the monitoring system performs numerical differentiation on the power curve to calculate the power change rate at each moment, that is, the power curve slope. At the same time, the monitoring system performs periodic analysis on the historical load data through methods such as Fourier analysis, extracts the main periodic components, and determines the standard periodic load pattern. Then, on the two-dimensional characteristic plane, the monitoring system uses the power curve slope as the abscissa and the similarity with the periodic load pattern as the ordinate to generate load change characteristic points. Finally, the monitoring system connects these load change characteristic points in chronological order to form a complete load characteristic trajectory, which is used to characterize the dynamic change process of the new energy device load.

[0046] Optionally, generally, extracting the power curve slope and the periodicity of the power consumption pattern from the load change characteristics to construct a load characteristic trajectory can be achieved in the following ways, which are not limited herein: Determine the periodic load pattern according to the periodicity of the power consumption pattern; Map the power curve slope and the periodic load pattern on a two-dimensional plane to generate load change characteristic points; Connect the load change characteristic points in chronological order to obtain the load characteristic trajectory.

[0047] Among them, the periodic load pattern refers to the standard load change pattern within a complete cycle. The load change characteristic point refers to the mapping point of the load characteristic at a certain moment on the two-dimensional plane. The load characteristic trajectory is used to represent the dynamic trajectory of the load changing with time of the new energy device. The two-dimensional plane refers to the characteristic plane constructed with the power curve slope and the periodic load pattern as the coordinate axes.

[0048] Suppose the monitoring system records the power data of a certain photovoltaic power generation device within 24 hours: 00:00 - 20kW; 04:00 - 15kW; 08:00 - 45kW; 12:00 - 90kW; 16:00 - 50kW; 20:00 - 25kW.

[0049] Calculate the power curve slope (one sampling point every 4 hours): Period 1 (00:00 - 04:00): (-5 kW) / (4 h) = -1.25 kW / h; Period 2 (04:00 - 08:00): (+30 kW) / (4 h) = +7.5 kW / h; Period 3 (08:00 - 12:00): (+45 kW) / (4 h) = +11.25 kW / h; Period 4 (12:00 - 16:00): (-40 kW) / (4 h) = -10 kW / h; Period 5 (16:00 - 20:00): (-25 kW) / (4 h) = -6.25 kW / h.

[0050] Periodic analysis: Through Fourier analysis, it is found that the photovoltaic power generation equipment has obvious 24-hour cycle characteristics, that is, the standard cycle mode is low valley in the early morning → rising in the morning → peak at noon → falling in the evening.

[0051] Similarity between the current period and the standard mode: Period 1: 0.95 (very consistent with the night mode); Period 2: 0.90 (consistent with the rising mode in the morning); Period 3: 0.92 (consistent with the rising mode during the day); Period 4: 0.88 (consistent with the falling mode in the afternoon); Period 5: 0.85 (basically consistent with the falling mode in the evening).

[0052] Generate load change feature points: The coordinates of the mapped points on the two-dimensional plane are (slope of the power curve, similarity): P1: (-1.25, 0.95); P2: (7.5, 0.90); P3: (11.25, 0.92); P4: (-10, 0.88); P5: (-6.25, 0.85).

[0053] Construct the load feature trajectory: Connect P1 → P2 → P3 → P4 → P5 in sequence. The obtained load feature trajectory shows that the load feature trajectory in the first quadrant (positive slope, high similarity) represents the normal growth stage of the load, and the load feature trajectory in the fourth quadrant (negative slope, high similarity) represents the normal decline stage of the load. The load feature trajectory as a whole shows a clockwise movement, which conforms to the daily law of solar power generation.

[0054] Analysis conclusion: The load change of the photovoltaic power generation equipment conforms to the typical characteristics of photovoltaic power generation. The maximum power change rate appears from 8:00 to 12:00 in the morning (+11.25 kW / h), and the overall similarity remains above 0.85, indicating that the operation state is stable and there are no abnormal load mutations or periodic deviations.

[0055] This example shows how to construct the load characteristic trajectory by analyzing the power change rate and periodic characteristics, and then evaluate the operation state of new energy equipment, which is particularly suitable for the monitoring of new energy equipment with obvious periodic characteristics.

[0056] S104. Determine the environmental impact coefficient based on the ambient temperature and electromagnetic interference. The environmental impact coefficient is used to represent the influence intensity of the ambient temperature and electromagnetic interference on the operation of new energy equipment. Among them, the environmental impact coefficient refers to the comprehensive influence degree of environmental factors on the operation of new energy equipment. The influence intensity refers to the inhibition degree of environmental factors on the performance of new energy equipment.

[0057] Specifically, first, the monitoring system compares the measured ambient temperature with the ambient temperature threshold and calculates the temperature deviation degree. The ambient temperature threshold refers to the highest and lowest ambient temperatures allowed for the normal operation of new energy equipment. At the same time, the monitoring system calculates the ratio of the measured electromagnetic interference intensity to the electromagnetic interference threshold to obtain the electromagnetic interference degree. The electromagnetic interference threshold refers to the maximum electromagnetic interference intensity that new energy equipment can withstand. The monitoring system pre-sets the temperature influence weight and electromagnetic interference weight according to the characteristics of new energy equipment, multiplies the temperature deviation degree and the electromagnetic interference degree by the corresponding weights respectively. The temperature influence weight is used to represent the importance degree of temperature factors in environmental impact, and the electromagnetic interference weight is used to represent the importance degree of electromagnetic interference in environmental impact. Finally, the monitoring system adds the two weighted results and obtains the final environmental impact coefficient after normalization. The larger the environmental impact coefficient, the stronger the adverse impact of environmental factors on the operation of new energy equipment.

[0058] S105. Conduct a time-series comparison of the current characteristic trajectory and the load characteristic trajectory, and calculate the correlation degree. The correlation degree is used to represent the matching degree between the current change and the load change. Among them, the time-series comparison refers to the process of synchronously comparing the current characteristic trajectory and the load characteristic trajectory in the time dimension; the correlation degree represents the consistency degree of the change trends of the current characteristic trajectory and the load characteristic trajectory, and its value range is from 0 to 1. The larger the value, the higher the matching degree; the matching degree is used to represent whether the current change is adapted to the load change and reflects the coordination of equipment operation.

[0059] Specifically, first, the monitoring system establishes a timing mapping matrix to align the current feature trajectory and the load feature trajectory on the time axis. Then, the monitoring system calculates the Euclidean distance between the current feature trajectory points and the load feature trajectory points at the corresponding moments to construct a distance calculation matrix. Next, the monitoring system determines a preset distance threshold and counts the number of matching points where the Euclidean distance is less than the preset distance threshold. Finally, the monitoring system divides the number of matching points by the total number of pairs to obtain a correlation degree that reflects the overall matching degree. This correlation degree calculation method based on timing comparison can accurately reflect the coordination between the current change and the load change during the operation of new energy equipment.

[0060] Optionally, generally, comparing the current feature trajectory and the load feature trajectory in terms of timing and calculating the correlation degree, where the correlation degree is used to represent the matching degree between the current change and the load change, can be achieved in the following way (not limited here): Generate a timing mapping matrix based on the time sampling sequence of the current feature trajectory and the time sampling sequence of the load feature trajectory, and the timing mapping matrix is used to represent the corresponding relationship between the current feature trajectory and the load feature trajectory in the time dimension; Based on the timing mapping matrix, calculate the Euclidean distance between the current feature trajectory points and the load feature trajectory points at the corresponding moments to construct a distance calculation matrix, and each element in the distance calculation matrix is used to represent the magnitude of the Euclidean distance between the current feature trajectory points and the load feature trajectory points at the corresponding moments; Take the current feature trajectory points and the load feature trajectory points where the Euclidean distance in the distance calculation matrix is less than the preset distance threshold as matching points and count the number of matching points; Divide the number of matching points by the total number of pairs of the current feature trajectory points and the load feature trajectory points to obtain the correlation degree.

[0061] Suppose the data collected at 5 consecutive moments: Current feature trajectory points (three-dimensional space coordinates, already standardized): t1: E1(0.4, 0.5, 0.3); t2: E2(0.5, 0.5, 0.4); t3: E3(0.7, 0.4, 0.6); t4: E4(0.6, 0.4, 0.5); t5: E5(0.4, 0.5, 0.3).

[0062] Load feature trajectory points (two-dimensional plane coordinates, already standardized): t1: L1(0.3, 0.5); t2: L2(0.4, 0.5); t3: L3(0.6, 0.4); t4: L4(0.5, 0.4); t5: L5(0.3, 0.5).

[0063] Calculation process: Construct a timing mapping matrix (a 5×5 matrix, where 1 indicates time correspondence and 0 indicates non-correspondence): L1 L2 L3 L4 L5 E1 1 0 0 0 0 E2 0 1 0 0 0 E3 0 0 1 0 0 E4 0 0 0 1 0 E5 0 0 0 0 1 Calculate the Euclidean distance (for ease of calculation, project the three-dimensional current feature onto a two-dimensional plane): d1 = √[(0.4 - 0.3)²+(0.5 - 0.5)²] = 0.1; d2 = √[(0.5 - 0.4)²+(0.5 - 0.5)²] = 0.1; d3 = √[(0.7 - 0.6)²+(0.4 - 0.4)²] = 0.1; d4 = √[(0.6 - 0.5)²+(0.4 - 0.4)²] = 0.1; d5 = √[(0.4 - 0.3)²+(0.5 - 0.5)²] = 0.1.

[0064] Construct a distance calculation matrix: Assume that the preset distance threshold is 0.15, and count the matching points: all Euclidean distances are less than the preset distance threshold, so the number of matching points is 5 pairs, and the total number of pairs is 5 pairs.

[0065] Calculate the correlation: Correlation = Number of matching points / Total number of pairs == 5 / 5 = 1.0.

[0066] Result analysis: The obtained correlation is 1.0, indicating a high match between the current change and the load change. The Euclidean distances between the current feature points and the load feature points at each moment are very small, indicating that the change trends are consistent. The perfect correlation indicates that the new energy equipment operates very coordinately, and the current response is synchronized with the load change.

[0067] S106. Apply the environmental impact coefficient to the correlation to obtain the corrected coupling feature; Among them, the corrected coupling feature refers to the current-load matching feature corrected by environmental factors and is an index comprehensively reflecting the operating state of new energy equipment; the application process refers to the mathematical operation process of incorporating environmental impact factors through a specific correction function.

[0068] Specifically, first, the monitoring system constructs a correction function according to the environmental impact coefficient. This correction function decreases as the environmental impact coefficient increases and usually adopts an exponential decay form; then, the monitoring system substitutes the correlation into the correction function for calculation to obtain the corrected coupling feature considering environmental impacts. This correction mechanism can reasonably reflect the impact of environmental factors on the operating state of new energy equipment and make the evaluation results more accurate and reliable.

[0069] Example: Assume that the environmental impact coefficient (E) is 0.58 and the relevance (R) is 0.95 (indicating a high current-load matching degree), and the correction function f(E) = e^(-kE), where k is the attenuation coefficient.

[0070] Assume k = 1, the correction coefficient = e^(-1×0.58) = e^(-0.58) = 0.56, and the corrected coupling characteristic = relevance × correction coefficient = 0.95 × 0.56 = 0.532.

[0071] Optionally, generally, applying the environmental impact coefficient to the relevance to obtain the corrected coupling characteristic can be achieved in the following ways, which are not limited herein: Based on the environmental impact coefficient, establish a correction function, and the correction function decreases as the environmental impact coefficient increases; substitute the relevance into the correction function to obtain the corrected coupling characteristic.

[0072] Correction effects under different environmental impact conditions: Scene comparison and analysis: (1) Ideal environmental conditions: Environmental impact coefficient = 0.1; Correction coefficient = e^(-0.1) = 0.905; Relevance = 0.95; Corrected coupling characteristic = 0.95 × 0.905 = 0.860; (2) Medium environmental impact (current situation): Environmental impact coefficient = 0.58; Correction coefficient = e^(-0.58) = 0.56; Relevance = 0.95; Corrected coupling characteristic = 0.95 × 0.56 = 0.532; (3) Harsh environmental conditions: Environmental impact coefficient = 0.9; Correction coefficient = e^(-0.9) = 0.407; Relevance = 0.95; Corrected coupling characteristic = 0.95 × 0.407 = 0.387; Result analysis: The original relevance of 0.95 indicates that the current-load matching of the new energy equipment is very good. The environmental impact coefficient of 0.58 causes the correction coefficient to drop to 0.56, and the final corrected coupling characteristic is 0.532, which is significantly lower than the original relevance, indicating that the environmental factors have an obvious adverse impact on the operation of the new energy equipment.

[0073] S107. Determine the equipment operation status based on the corrected coupling characteristic, and the equipment operation status includes safe operation, warning operation, and dangerous operation; Among them, safe operation refers to the state where the device operates within normal parameter ranges; warning operation refers to the state where the device has minor anomalies but can still continue to operate; dangerous operation refers to the state where the device has serious anomalies and immediate handling is required.

[0074] Specifically, the monitoring system sets two thresholds to divide the value range of the corrected coupling feature into three intervals, corresponding to three operating states respectively: above the first threshold is safe operation, between the two thresholds is warning operation, and below the second threshold is dangerous operation. These thresholds are usually determined based on historical operation data and expert experience and can be dynamically adjusted according to the actual operation situation.

[0075] S108. When the operating state of the device is dangerous operation, control the new energy device to stop operating.

[0076] Among them, stopping operation means making the new energy device enter a safe shutdown state through a control instruction; the control instruction includes an emergency shutdown signal, a power reduction instruction, etc.; the safe shutdown state means a non-operating state where all parameters of the new energy device are within the safe range.

[0077] Specifically, first, the monitoring system confirms the determination result that the operating state of the device is dangerous operation. Then, the monitoring system generates a shutdown control instruction sequence, which includes a series of ordered control commands such as current cut-off, load unloading, and protection circuit activation. Next, the monitoring system sends these shutdown control commands to the device execution unit in a predetermined order to ensure that the new energy device enters the shutdown state according to the safety procedure.

[0078] By adopting the above technical solution, the monitoring system comprehensively analyzes the current fluctuation feature, load change feature, and environmental impact feature, and constructs a dual-trajectory monitoring model of the current feature trajectory and the load feature trajectory. This method not only considers the dynamic change process of the current and the load, but also calculates the matching degree between the current change and the load change, and combines the influence of environmental factors to correct the correlation degree of the current feature trajectory and the load feature trajectory, so as to timely detect the operation anomalies of the new energy device and make the monitoring result more accurate and reliable. When a dangerous operation state occurs, the monitoring system will automatically control the new energy device to stop operating, effectively preventing equipment damage and safety accidents. This multi-dimensional and dynamic monitoring method has stronger early warning ability and higher reliability compared with the traditional single-parameter monitoring method.

[0079] The following further describes the more specific process of the method provided in this embodiment. Please refer to Figure 2 , which is another process schematic diagram of the new energy device dynamic monitoring method in the embodiment of the present application.

[0080] After step S107, the following steps can also be executed, or may not be executed, which is not limited herein: S201. When the device operation status is warning operation, calculate the migration probability of the device operation status being in dangerous operation; Among them, warning operation refers to the state where the operation status of new energy equipment has potential risks but has not reached the dangerous level. Dangerous operation refers to the state where the operation status of new energy equipment has obvious abnormalities and may lead to equipment failures or safety accidents. The migration probability is used to represent the likelihood of the device operation status changing from one state to another, and its value range is from 0 to 1.

[0081] Specifically, first, the monitoring system collects the current operation data of the new energy equipment, including key indicators such as corrected coupling characteristics and environmental impact coefficients. Then, based on historical data and combined with the current operation parameters, the monitoring system calculates the migration probability of the new energy equipment changing from the warning operation state to the dangerous operation state under the existing conditions. The calculation of this migration probability usually uses the Bayesian probability model or the Markov chain model, comprehensively considering the historical state conversion rules of the new energy equipment, the degree of abnormality of the current operation parameters, and the influence of environmental factors.

[0082] S202. When the migration probability is less than or equal to the preset first migration probability threshold, record the current state; Among them, the preset first migration probability threshold is a pre-set lower migration probability judgment criterion. The current state refers to the set of current operation parameters and performance indicators of the new energy equipment.

[0083] Specifically, if the migration probability is less than or equal to the preset first migration probability threshold, it indicates that the risk of the device state deterioration is relatively low. At this time, the monitoring system will completely record the current state of the new energy equipment, including but not limited to: key data such as corrected coupling characteristics, environmental impact coefficients, various operation parameters, and timestamps, for subsequent trend analysis and predictive maintenance.

[0084] S203. When the migration probability is greater than the preset first migration probability threshold and less than or equal to the preset second migration probability threshold, adjust the operation parameters of the new energy equipment; Among them, the preset second migration probability threshold is a judgment criterion higher than the first migration probability threshold, used to distinguish the state that requires parameter adjustment or protection activation.

[0085] Specifically, first, the monitoring system collects and calculates three key indicators, namely the current fluctuation amplitude, the load change rate, and the ambient temperature change rate, within a preset time period (such as 15 minutes). Then, the monitoring system compares these indicators with their respective safety thresholds and calculates the deviation values. According to the parameter type corresponding to the maximum deviation value, the corresponding adjustment strategy is selected: when the current fluctuation deviation is the largest, the current is limited by reducing the output power or adjusting the working mode; when the load change deviation is the largest, the operation is stabilized by adjusting the load distribution or reducing the load level; when the temperature change deviation is the largest, the temperature control is strengthened or the heat dissipation measures are adjusted. This priority adjustment strategy based on the maximum deviation can effectively reduce the operation risk of the device.

[0086] Optionally, generally, when the migration probability is greater than the preset first migration probability threshold and less than or equal to the preset second migration probability threshold, the operation parameters of the new energy device can be adjusted in the following ways, which are not limited herein: determine the current fluctuation amplitude, the load change rate, and the ambient temperature change rate of the new energy device within a preset time period; calculate the deviations of the current fluctuation amplitude, the load change rate, and the ambient temperature change rate from the corresponding safety thresholds respectively; when the current fluctuation amplitude deviation is the largest, give priority to current limitation; when the load change rate deviation is the largest, give priority to load adjustment; when the ambient temperature change rate deviation is the largest, give priority to temperature control.

[0087] Among them, the current fluctuation amplitude refers to the change range of the current value during the operation of the new energy device. The load change rate refers to the degree of change in the load size of the new energy device per unit time. The ambient temperature change rate refers to the change speed of the ambient temperature per unit time. The safety threshold refers to the maximum allowable change range of each operation parameter. The deviation is used to represent the degree of difference between the actual value and the safety threshold.

[0088] S204. When the migration probability is greater than the preset second migration probability threshold, trigger the protection measures.

[0089] Among them, the preset second migration probability threshold refers to the pre-set highest migration probability judgment standard. The protection measures refer to the emergency protection actions taken to prevent the device from occurring serious failures or safety accidents. Trigger means to start or execute the corresponding protection operation.

[0090] Specifically, the monitoring system immediately activates the protection measures, which may include: emergency load reduction or shutdown, cutting off the dangerous circuit, starting the standby system, sending out alarm signals, etc. At the same time, the monitoring system will record the complete status information when the protection measures are triggered, including various parameter data, alarm information, operation records, etc., providing a basis for subsequent analysis and processing. This timely protection measure can avoid the device from occurring serious failures or safety accidents to the greatest extent.

[0091] The monitoring system in the embodiments of the present invention application will be described from the perspective of hardware processing. Please refer to Figure 3 , which is a schematic structural diagram of an entity device of the monitoring system in the embodiments of the present application.

[0092] It should be noted that Figure 3 The structure of the monitoring system shown is only an example and should not impose any limitations on the functions and scope of use of the embodiments of the present invention.

[0093] As Figure 3 shown, the monitoring system includes a CPU 301, which can perform various appropriate actions and processes according to the program stored in the read-only memory ROM 302 or the program loaded from the storage section 308 into the random access memory RAM 303, such as executing the method described in the above embodiments. In the RAM 303, various programs and data required for system operation are also stored. The CPU 301, ROM 302, and RAM 303 are connected to each other via a bus 304. The I / O interface 305 is also connected to the bus 304.

[0094] The following components are connected to the I / O interface 305: an input section 306 including an audio input device, a button switch, etc.; an output section 307 including a liquid crystal display (LCD), an audio output device, an indicator light, etc.; a storage section 308 including a hard disk, etc.; and a communication section 309 including a network interface card such as a LAN (Local Area Network) card, a modem, etc. The communication section 309 performs communication processing via a network such as the Internet. The drive 310 is also connected to the I / O interface 305 as needed. A removable medium 311, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is installed on the drive 310 as needed, so that the computer program read from it can be installed into the storage section 308 as needed.

[0095] Specifically, according to the embodiments of the present invention, the process described above with reference to the flowchart can be implemented as a computer software program. For example, the embodiments of the present invention include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a computer program for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from the network through the communication section 309, and / or installed from the removable medium 311. When the computer program is executed by the CPU 301, various functions defined in the present invention are executed.

[0096] It should be noted that specific examples of computer-readable storage media may include, but are not limited to: electrical connections with one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM), flash memory, optical fibers, portable compact disc read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the above. In the present invention, a computer-readable storage medium can be any tangible medium that contains or stores a program, and this program can be used by or in conjunction with an instruction execution system, apparatus, or device.

[0097] The flowcharts and block diagrams in the accompanying drawings illustrate the possible architectures, functions, and operations of systems, methods, and computer program products according to various embodiments of the present invention. Among them, each block in the flowchart or block diagram may represent a module, a program segment, or a part of code, and the above module, program segment, or part of code contains one or more executable instructions for implementing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the blocks may occur in a different order than that marked in the accompanying drawings.

[0098] Specifically, the monitoring system of this embodiment includes a processor and a memory. A computer program is stored on the memory. When the computer program is executed by the processor, the new energy device dynamic monitoring method provided in the above embodiment is implemented.

[0099] On the other hand, the present invention also provides a computer-readable storage medium. This storage medium can be included in the monitoring system described in the above embodiment; or it can exist separately and not be assembled into the monitoring system. The above storage medium carries one or more computer programs. When the above one or more computer programs are executed by a processor of the monitoring system, the monitoring system is enabled to implement the new energy device dynamic monitoring method provided in the above embodiment.

[0100] As described above, the above embodiments are only used to illustrate the technical solutions of the present application, and are not intended to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements for some of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the scope of the technical solutions of the various embodiments of the present application.

[0101] As used in the foregoing embodiments, depending on the context, the term "when" may be interpreted to mean "if", "after", "in response to determining", or "in response to detecting". Similarly, depending on the context, the phrase "upon determining" or "if (the stated condition or event) is detected" may be interpreted to mean "if determined", "in response to determining", "when (the stated condition or event) is detected", or "in response to detecting (the stated condition or event)".

[0102] Those of ordinary skill in the art can understand that all or part of the processes in the methods of the foregoing embodiments can be implemented by a computer program instructing relevant hardware. The program can be stored in a computer-readable storage medium. When the program is executed, it may include the processes of the foregoing method embodiments. The foregoing storage media include various media that can store program codes, such as ROM, random access memory (RAM), magnetic disks, or optical discs.

Claims

1. A method for dynamically monitoring a new energy device, characterized in that, Applied to a monitoring system, the method includes: Collect the current fluctuation characteristics, load change characteristics, and environmental impact characteristics of new energy equipment. The current fluctuation characteristics include amplitude, frequency, and phase. The amplitude refers to the peak value of the current magnitude. The frequency refers to the periodicity of the current change. The phase refers to the time lead or lag of the current waveform. The load change characteristics include a power curve and an electricity consumption pattern. The environmental impact characteristics include environmental temperature and electromagnetic interference; According to the amplitude, the frequency, and the phase, construct a current characteristic trajectory, which is used to represent the dynamic change process of the current when the new energy equipment is operating; Extract the power curve slope and the periodicity of the electricity consumption pattern from the load change characteristics to construct a load characteristic trajectory, which is used to represent the dynamic change process of the load when the new energy equipment is operating; Based on the environmental temperature and the electromagnetic interference, determine an environmental impact coefficient, which is used to represent the influence intensity of the environmental temperature and the electromagnetic interference on the operation of the new energy equipment; Perform a time-series comparison on the current characteristic trajectory and the load characteristic trajectory, and calculate a correlation degree, which is used to represent the matching degree between the current change and the load change; Apply the environmental impact coefficient to the correlation degree to obtain a corrected coupling characteristic; Based on the corrected coupling characteristic, determine the equipment operation state, which includes safe operation, warning operation, and dangerous operation; When the equipment operation state is the dangerous operation, control the new energy equipment to stop operating.

2. The method according to claim 1, wherein The constructing a current characteristic trajectory according to the amplitude, the frequency, and the phase specifically includes: Map the amplitude, the frequency, and the phase in a three-dimensional coordinate system to obtain current characteristic points; Connect the current characteristic points in time series to obtain an original current trajectory; Based on the original current trajectory, calculate a current characteristic vector, which includes trajectory curvature, trajectory length, and trajectory direction; Establish a characteristic space model according to the current characteristic vector and use the characteristic space model as the current characteristic trajectory.

3. The method according to claim 1, characterized in that The extracting the power curve slope and the periodicity of the electricity consumption pattern from the load change characteristics to construct a load characteristic trajectory specifically includes: Determine a periodic load pattern according to the periodicity of the electricity consumption pattern; Map the power curve slope and the periodic load pattern on a two-dimensional plane to generate load change characteristic points; Connect the load change characteristic points in chronological order to obtain the load characteristic trajectory.

4. The method according to claim 1, characterized in that, The performing a time-series comparison on the current characteristic trajectory and the load characteristic trajectory, and calculating a correlation degree, which is used to represent the matching degree between the current change and the load change, specifically includes: Generate a time-series mapping matrix according to the time sampling sequence of the current characteristic trajectory and the time sampling sequence of the load characteristic trajectory. The time-series mapping matrix is used to represent the corresponding relationship between the current characteristic trajectory and the load characteristic trajectory in the time dimension; Based on the timing mapping matrix, calculate the Euclidean distance between the current feature trajectory points and the load feature trajectory points at corresponding times to construct a distance calculation matrix, where each element in the distance calculation matrix is used to represent the magnitude of the Euclidean distance between the current feature trajectory points and the load feature trajectory points at corresponding times; Take the current feature trajectory points and load feature trajectory points in the distance calculation matrix with Euclidean distances less than a preset distance threshold as matching points, and count the number of matching points; Divide the number of matching points by the total number of pairs of current feature trajectory points and load feature trajectory points to obtain the correlation; 5. The method according to claim 1, wherein The step of applying the environmental impact coefficient to the correlation to obtain a corrected coupling feature specifically includes: According to the environmental impact coefficient, establish a correction function, and the correction function decreases as the environmental impact coefficient increases; Substitute the correlation into the correction function to obtain the corrected coupling feature; 6. The method according to claim 1, wherein After the step of determining the device operation state based on the corrected coupling feature, where the device operation state includes safe operation, warning operation, and dangerous operation, the method further includes: When the device operation state is the warning operation, calculate the transition probability that the device operation state is the dangerous operation; When the transition probability is less than or equal to a preset first transition probability threshold, record the current state; When the transition probability is greater than the preset first transition probability threshold and less than or equal to a preset second transition probability threshold, adjust the operation parameters of the new energy device; When the transition probability is greater than the preset second transition probability threshold, trigger a protection measure; 7. The method according to claim 6, wherein The step of adjusting the operation parameters of the new energy device when the transition probability is greater than the preset first transition probability threshold and less than or equal to a preset second transition probability threshold specifically includes: Determine the current fluctuation amplitude, load change rate, and environmental temperature change rate of the new energy device within a preset time period; Calculate the deviations of the current fluctuation amplitude, the load change rate, and the environmental temperature change rate from the corresponding safety thresholds respectively; When the deviation of the current fluctuation amplitude is the largest, give priority to current limiting; When the deviation of the load change rate is the largest, give priority to load regulation; When the deviation of the environmental temperature change rate is the largest, give priority to temperature control; 8. A monitoring system, characterized in that, The monitoring system includes: one or more processors and a memory; the memory is coupled to the one or more processors, the memory is used to store computer program code, the computer program code includes computer instructions, and the one or more processors call the computer instructions to enable the monitoring system to execute the method according to any one of claims 1-7; 9. A computer-readable storage medium, comprising instructions, characterized in that, When the instruction runs on the monitoring system, enable the monitoring system to execute the method according to any one of claims 1-7; 10. A computer program product, characterized in that, When the computer program product runs on the monitoring system, enable the monitoring system to execute the method according to any one of claims 1-7;

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