A method and system for monitoring risk of electric power facilities

Abstract

The present application relates to the technical field of risk monitoring, and in particular to a method and system for monitoring the risks of power facilities. The method includes: acquiring and analyzing the monitoring information of power facilities, determining animal behavior images and environmental images of the power facilities; obtaining the specific behavior of the animals based on the animal behavior images; obtaining the growth morphology of plants based on the environmental images; judging whether the specific behavior of the animals has an impact on the growth morphology of the plants; if an impact is generated, judging whether the impact causes risks to the power facilities, and if so, determining the degree of risk impact based on the risk, determining a risk handling strategy, and sending the risk handling strategy to the power facility manager. When performing risk monitoring on power facilities, the present application analyzes the impact of animal behavior on plant growth morphology, thereby formulating a risk handling strategy to ensure the normal operation of power facilities and avoid unnecessary losses.

Description

Technical Field

[0001] The present application relates to the technical field of risk monitoring, and in particular to a method and system for monitoring risk of power facilities. Background Art

[0002] With the rapid development of the economy and society, as the demand for electricity increases, it is increasingly important to conduct risk monitoring of power facilities. Risk monitoring of power facilities can effectively prevent power outages and thus avoid economic losses.

[0003] Currently, only the internal operating status of power facilities is monitored, and the impact of external factors on power facilities is not considered. This situation may cause failures in the operation of power facilities, thereby preventing the power facilities from operating normally. Summary of the invention

[0004] The present application provides a method and system for monitoring risks of electric power facilities to solve the above-mentioned problems.

[0005] In a first aspect, the present application provides a method for monitoring risk of electric power facilities, the method comprising:

[0006] Acquire monitoring information of power facilities, analyze the monitoring information, determine animal behavior images and environmental images of power facilities; obtain specific animal behaviors based on the animal behavior images; obtain plant growth forms based on the environmental images; analyze the animal behavior images and the environmental images to determine whether the specific animal behaviors have an impact on the plant growth forms; if the specific animal behaviors have an impact on the plant growth forms, determine whether the impact causes risks to power facilities, and if so, determine the degree of risk impact based on the risks; determine a risk handling strategy based on the degree of risk impact, send the risk handling strategy to power facility managers, and provide a reference for the power facility managers to handle risks.

[0007] Through the above technical solutions, accurate identification of animal behavior and plant growth morphology is achieved by comprehensively and systematically acquiring and analyzing the monitoring information of power facilities. In-depth exploration of the interaction between the two can timely and accurately discover the potential impact of animal behavior on plant growth morphology, and further evaluate whether this impact poses a risk to power facilities. Once the risk is identified, targeted risk management strategies can be formulated according to the severity of the risk to provide scientific and effective decision-making support for power facility managers. From monitoring to analysis, and then to risk management and strategy formulation, the process has significantly improved the safety management level of power facilities, providing a strong guarantee for the stable operation of the power system, thereby avoiding economic losses.

[0008] Optionally, the analyzing the animal behavior image and the environmental image to determine whether the specific behavior of the animal affects the growth morphology of the plant includes: obtaining the spatial position of the animal based on the animal behavior image; analyzing the specific behavior of the animal to obtain the animal behavior amplitude and the animal movement direction; determining the relative position of the animal and the plant based on the animal spatial position and the environmental image; analyzing the animal behavior amplitude and the animal movement direction to obtain the animal's instantaneous movement; determining the relative position change based on the animal's instantaneous movement; judging whether the animal's instantaneous movement causes the plant's growth morphology to change based on the relative position change; if the animal's instantaneous movement causes the plant's growth morphology to change, then determining that the specific behavior of the animal has an impact on the plant's growth morphology.

[0009] Optionally, if the specific behavior of the animal affects the growth form of the plant, then determining whether the impact poses a risk to the power facilities includes: obtaining a first horizontal distance between the animal and the boundary of the power facility area and the animal volume based on the animal behavior image; determining the plant position based on the boundary of the power facility area; obtaining a second horizontal distance between the plant and the boundary of the power facility area based on the plant position; determining whether the first horizontal distance is consistent with the second horizontal distance based on the relative position; if the first horizontal distance is consistent with the second horizontal distance, determining the animal weight based on the animal volume; determining whether other substances are falling in the plant position based on the environmental image; if other substances are falling, determining their location based on the environmental image. the volume of other substances and the types of other substances; based on the types of other substances, search relevant literature to determine the material density of the other substances; obtain the weight of the other substances according to the material density and the volume of the other substances; determine the falling position of the other substances according to the environmental image; compare the spatial position of the animal with the falling position to obtain a position comparison result; based on the comparison result, determine whether the spatial position of the animal and the falling position are in the same horizontal position; if the spatial position of the animal and the falling position are in the same horizontal position, determine the total weight according to the weight of the animal and the weight of the other substances; determine whether the total weight causes the growth form of the plant to be directed toward the power facilities, and if the growth form of the plant is directed toward the power facilities, determine that a risk is caused.

[0010] Optionally, the determining whether the total weight causes the plant growth form to be oriented toward the power facility includes: determining the real-time number of animals and animal types based on the animal behavior image; determining the instantaneous impact force of the specific behavior of the animals on the plants based on the real-time number of animals and the animal types; obtaining the pressure of the animals on the plants based on the weight of the animals; obtaining the specific form of other substances based on the environmental image; determining whether the other substances are in a stationary state based on the specific form of the other substances and the falling position; if the other substances are in a stationary state, determining the contact between the other substances and the environmental image based on the environmental image. The contact point of the plant; according to the contact point, the volume of the other substance and the weight of the other substance, determine whether the other substance and the plant remain in a relatively static state for a long time; if the other substance and the plant remain in a relatively static state for a long time, determine that the other substance is on the surface of the plant for a long time; according to the weight of the other substance, obtain the long-term pressure of the other substance on the plant; add the long-term pressure and the pressure to obtain the total pressure; determine whether the total pressure causes the growth form of the plant to face the power facility, if the total pressure causes the growth form of the plant to face the power facility, determine that there is a risk.

[0011] Optionally, after determining whether the total pressure causes the plant growth form to be toward the power facility, the determination further includes: if the total pressure does not cause the plant growth form to be toward the power facility, identifying the environmental image to obtain an identification result; determining the plant distribution within the preset power facility range based on the identification result; acquiring meteorological data, and obtaining the light intensity, light time and temperature at the plant position at different times based on the meteorological data; obtaining soil moisture content based on the environmental image and the meteorological data; obtaining the plant growth trend based on the light intensity, the light time, the soil moisture content and the temperature; determining whether the total pressure affects the plant growth form based on the relative position, and if the total pressure affects the plant growth form, determining whether the total pressure causes the plant growth trend to be toward the power facility based on the plant growth form; if the total pressure causes the plant growth trend to be toward the power facility, determining that there is a risk.

[0012] Optionally, obtaining the soil moisture content according to the environmental image and the meteorological data includes: obtaining historical rainfall, historical evaporation, historical humidity and historical temperature according to historical meteorological data; obtaining historical soil moisture content according to the historical rainfall, historical evaporation, historical humidity and historical temperature; obtaining soil color and soil cracking degree according to the environmental image, and determining the soil color and the soil cracking degree as current soil morphology; obtaining current soil moisture content reflected by the current soil morphology according to the current soil morphology and the environmental image; comparing the current soil moisture content with the historical soil moisture content to obtain a soil moisture comparison result; if the soil moisture comparison results are consistent, determining one of the current soil moisture reflected by the current soil morphology and the historical soil moisture content as the soil moisture content.

[0013] Optionally, judging whether the instantaneous action of the animal causes the growth form of the plant to change according to the relative position change includes: obtaining a power facility restricted area according to the boundary of the power facility area; analyzing the environmental image to obtain the static form of the plant; judging whether the static form of the plant changes according to the specific behavior of the animal and the relative position change; if the static form of the plant changes, obtaining a real-time lighting angle according to the meteorological data; obtaining a real-time shadow image produced by the plant according to the environmental image, the lighting intensity and the real-time lighting angle; judging whether there is an overlap between the power facility restricted area and the real-time shadow image according to the power facility restricted area and the real-time shadow image, and if so, marking the overlapping part of the power facility restricted area and the real-time shadow image to obtain the marked overlapping image and the overlapping image area; calculating the area ratio of the overlapping image in the power facility restricted area according to the real-time lighting angle, the lighting time and the lighting intensity; judging whether the area ratio exceeds the preset area ratio, and if the area ratio exceeds the preset area ratio, determining that the specific behavior of the animal causes the growth form of the plant to change.

[0014] Optionally, the area ratio of the overlapping image in the restricted area of ​​the electric facility is calculated according to the real-time lighting angle, the lighting time and the lighting intensity, including: predicting the current maximum lighting intensity according to the meteorological data; obtaining the horizontal distance between the plant and the electric facility, the total lighting time, the average width of the plant, the total area of ​​the restricted area of ​​the electric facility and the height of the plant according to the environmental image; and calculating the area ratio of the overlapping image in the restricted area of ​​the electric facility according to the horizontal distance, the average width of the plant, the plant height, the total lighting time, the lighting angle, the lighting time, the total area of ​​the restricted area of ​​the electric facility and the lighting intensity, referring to the following formula:

[0015] ;

[0016] in, Indicates the area ratio, represents the height of the plant, represents the average width of the plant, represents the illumination angle, represents the total area of ​​the restricted area for the power facilities, Describe the illumination time, represents the light intensity, The total illumination time, Represents the maximum light intensity.

[0017] Optionally, obtaining the plant growth trend according to the light intensity, the light time, the soil moisture content and the temperature includes: retrieving the historical meteorological data to determine the optimal light intensity, light time, soil moisture content and temperature for plant growth; obtaining the light intensity data, light time data, soil moisture content data and temperature data under different plant growth trends; fitting the light intensity data, light time data, soil moisture content data and temperature data to obtain light intensity parameter values, light time parameter values, soil moisture content parameter values ​​and temperature parameter value; according to the light intensity data, the light time data, the soil moisture data, the temperature data, the light intensity parameter value, the light time parameter value, the soil moisture parameter value and the temperature parameter value, obtain the light intensity variance, the light time variance, the soil moisture variance and the temperature variance; according to the light intensity optimal value, the light time optimal value, the soil moisture optimal value, the temperature optimal value, the light intensity variance, the light time variance, the soil moisture variance and the temperature variance, obtain the plant growth trend, refer to the following formula:

[0018] ;

[0019] in, is the growth trend of the plant, is a constant, is the light intensity, is the optimal value of light intensity, is the illumination time, is the optimal value of the illumination time, is the soil moisture content, is the optimal value of soil moisture content, is the temperature, is the optimal temperature value, is the light intensity variance, is the illumination time variance, is the soil moisture variance, is the temperature variance.

[0020] In a second aspect, the present application provides a power facility risk monitoring system, the system comprising:

[0021] The image determination module is used to obtain monitoring information of power facilities, analyze the monitoring information, and determine animal behavior images and environmental images of power facilities; the specific behavior determination module is used to obtain the specific behavior of animals based on the animal behavior images; the growth form determination module is used to obtain the plant growth form based on the environmental image; the impact judgment module is used to analyze the animal behavior images and environmental images to determine whether the specific behavior of animals has an impact on the growth form of plants; the impact degree determination module is used to determine whether the impact causes risks to power facilities if the specific behavior of animals has an impact on the growth form of plants, and if so, determine the risk impact degree based on the risk; the processing strategy determination module is used to determine the risk processing strategy based on the risk impact degree, and send the risk processing strategy to the power facility managers to provide a reference for the power facility managers to handle risks. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, a brief introduction will be given below to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0023] Figure 1 A schematic diagram of an application scenario provided for an embodiment of the present application;

[0024] Figure 2 A flow chart of a method for monitoring risk of electric power facilities provided in one embodiment of the present application;

[0025] Figure 3 A schematic diagram of the structure of a power facility risk monitoring system provided in one embodiment of the present application. DETAILED DESCRIPTION

[0026] In order to make the purpose, technical scheme and advantages of the embodiments of the present application clearer, the technical scheme in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0027] In addition, the term "and / or" in this article is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article, unless otherwise specified, generally means that the associated objects before and after are in an "or" relationship.

[0028] The embodiments of the present application are further described in detail below in conjunction with the drawings in the specification.

[0029] Currently, only the internal operating status of power facilities is monitored, and the impact of external factors on power facilities is not considered. This situation may cause failures in the operation of power facilities, thereby preventing the power facilities from operating normally.

[0030] Based on this, the present application provides a method and system for monitoring the risks of power facilities, which realizes the accurate identification and analysis of animal behavior and plant growth morphology by comprehensively monitoring various types of information of power facilities and their surrounding environment. First, the animal behavior images are captured and analyzed in real time to accurately determine whether these behaviors have an impact on the growth morphology of surrounding plants, so as to timely discover potential ecological risks; secondly, the specific impact of these risks on power facilities is further evaluated, providing managers with a scientific and quantitative basis for risk assessment; finally, based on the risk assessment results, the solution can generate targeted risk handling strategies and send them to power facility managers in a timely manner, providing them with clear and effective risk handling guidance, thereby significantly improving the safety management level of power facilities and ensuring the stable operation of the power system.

[0031] Figure 1 A schematic diagram of an application scenario provided for the present application. When conducting risk monitoring on power facilities, the method provided by the present application can be applied to conduct effective risk monitoring on power facilities, ensure the normal operation of power facilities, and thus avoid unnecessary losses.

[0032] Specifically, the method provided by the present application is applied to any server, the server interacts with the monitoring device, extracts animal behavior images and plant growth forms from the monitoring information obtained by the monitoring device, analyzes the extracted information, determines whether the impact of animal behavior on plant growth forms poses a risk to power facilities, and formulates a treatment strategy based on the risk, and sends the risk treatment strategy to power facility managers for risk treatment. By determining whether there is a risk in power facilities by the impact of animal behavior on plant growth forms around power facilities, and performing risk treatment on the risks in power facilities, the safety management level of power facilities can be improved, thereby ensuring the normal operation of power facilities and avoiding economic losses.

[0033] For specific implementation methods, please refer to the following embodiments.

[0034] Figure 2 This is a flow chart of a method for monitoring risk of power facilities provided in one embodiment of the present application. The method of this embodiment can be applied to the server in the above scenario. Figure 2 As shown, the method includes:

[0035] S201. Acquire monitoring information of power facilities, analyze the monitoring information, and determine animal behavior images and environmental images of power facilities.

[0036] The monitoring information may be all monitoring information within a certain range centered on the power facility.

[0037] The animal behavior image may be an image showing animal behavior in the monitoring information.

[0038] The environmental image may be an image related to the environment in the monitoring information.

[0039] Specifically, first, the monitoring information of the power facilities can be obtained from the monitoring equipment, and the overall image including the power facilities can be obtained from the monitoring information. Then, the overall image can be denoised and deblurred using image enhancement technology to obtain a processed overall image. Finally, the animal area and the power facility area in the processed overall image can be segmented using image segmentation technology to obtain segmented animal area images and power facility area images. The segmented animal area images and power facility area images are determined as animal behavior images and power facility environment images.

[0040] S202: Obtain the specific behavior of the animal according to the animal behavior image.

[0041] The specific animal behavior may be the animal behavior reflected in the animal behavior image.

[0042] Specifically, first, a convolutional neural network can be used to extract the animal behavior features in the animal behavior image obtained in the above step to obtain a behavior feature extraction result. Then, a behavior analysis algorithm can be used to analyze the behavior feature extraction result to obtain the animal behavior type. Finally, the specific behavior of the animal is obtained according to the animal behavior type.

[0043] S203: Obtain plant growth morphology according to the environment image.

[0044] Plant growth form can be the state of the plant at present or at a certain moment.

[0045] Specifically, first, a convolutional neural network can be used to extract environmental features from an environmental image, and then a feature recognition algorithm can be used to identify the environmental features to obtain features related to the plant. Based on the environmental image, the plant position is determined according to the plant features and a plant image is obtained. Finally, the image segmentation technology can be used to segment the plant image in a specific position in the vertical direction to obtain a number of plant segmentation images. Secondly, an image recognition algorithm can be used to determine the shapes of the several plant segmentation images respectively to obtain the shapes of the several plant segmentation images.

[0046] The shapes of several plant segmented images are integrated in the order before segmentation to obtain the complete plant shape in the plant image. The complete plant shape is determined as the plant growth form.

[0047] S204: Analyze the animal behavior image and the environment image to determine whether the specific behavior of the animal has an impact on the growth form of the plant.

[0048] Specifically, first, video analysis technology can be used to determine the specific location of the animal before the specific behavior occurs. Then, a spatial rectangular coordinate system can be established with the power facility as the origin to mark the specific location of the animal before the specific behavior occurs and the location of the plant. Finally, based on the specific location of the animal before the specific behavior occurs and the location of the plant, image analysis technology can be used to analyze the environmental image to determine whether the animal is in a certain position of the plant. If the animal is in a certain position of the plant, image analysis technology can be used to decompose the animal's specific behavior image to obtain several specific behavior images, and determine whether several specific behaviors occur at a certain position of the plant based on several specific behavior images.

[0049] S205. If the specific behavior of animals affects the growth form of plants, determine whether the impact poses a risk to power facilities. If so, determine the extent of the risk impact based on the risk.

[0050] The risk impact degree may be the severity of the consequences of the risk posed to power facilities after the plant growth pattern changes.

[0051] Specifically, after the specific behavior of the animal affects the growth form of the plant, the image analysis technology can be used to determine the growth form of the plant. Based on the growth form determination results, it is determined whether the growth form of the plant has changed and whether the growth form of the plant has a tendency to move toward the power facilities. If the growth form of the plant has changed and is moving toward the power facilities, it is determined that the growth form of the plant poses a risk to the power facilities. The degree of risk impact is determined based on the possible consequences of the risk.

[0052] S206. Determine a risk handling strategy based on the risk impact level, and send the risk handling strategy to the power facility management personnel to provide a reference for the power facility management personnel to handle the risk.

[0053] Risk management strategies can be formulated based on the severity of the consequences of the risk.

[0054] Specifically, according to the different risk impact levels, the risk impact levels are analyzed to obtain impact level analysis results. According to the impact level analysis results, risk handling strategies are formulated. The risk handling strategies corresponding to the generated risks are sent to power facility managers to provide reference for the power facility managers.

[0055] Through the method provided in this embodiment, accurate identification of animal behavior and plant growth morphology is achieved by comprehensively and systematically acquiring and analyzing the monitoring information of power facilities. In-depth exploration of the interaction between the two can timely and accurately discover the potential impact of animal behavior on plant growth morphology, and further evaluate whether this impact poses a risk to power facilities. Once the risk is identified, a targeted risk management strategy can be formulated according to the severity of the risk to provide scientific and effective decision-making support for power facility managers. The process from monitoring to analysis, and then to risk management and strategy formulation has significantly improved the safety management level of power facilities, providing a strong guarantee for the stable operation of the power system, thereby avoiding economic losses.

[0056] In some embodiments, the spatial position of the animal is obtained based on the animal behavior image; the specific behavior of the animal is analyzed to obtain the animal behavior amplitude and the animal movement direction; the relative position of the animal and the plant is determined based on the animal spatial position and the environmental image; the animal behavior amplitude and the animal movement direction are analyzed to obtain the animal's instantaneous movement; based on the animal's instantaneous movement, the relative position change is determined; based on the relative position change, it is determined whether the animal's instantaneous movement causes the plant growth form to change; if the animal's instantaneous movement causes the plant growth form to change, it is determined that the specific behavior of the animal has an impact on the plant growth form.

[0057] The spatial position of the animal may be the spatial position of the animal with respect to the power facility as a reference.

[0058] Animal behavior amplitude can be the range or degree of animal behavior expression.

[0059] The animal movement direction may be the direction in which the animal is moving.

[0060] Relative position can be the position of animals and plants as reference to each other.

[0061] The instantaneous animal action may be the action exhibited by the animal at the moment of monitoring.

[0062] Specifically, based on the spatial rectangular coordinate system obtained in the above steps, the environmental image is analyzed using image analysis technology to determine the plant position and mark the plant position. In the spatial rectangular coordinate system, the animal position and the plant position are marked to obtain the relative position of the animal and the plant. The skeleton extraction algorithm is used to obtain the joint point information of the animal in the animal behavior image, and the joint point position and movement trajectory are extracted based on the joint point information.

[0063] The animal's behavior amplitude is calculated based on the motion vector field or joint point trajectory, and the behavior amplitude is defined as the amplitude of the joint point position change. The displacement of each joint point in a specific time period is calculated to obtain the animal's behavior amplitude.

[0064] The target tracking algorithm is used to track the animal and obtain the target tracking result. Based on the target tracking result, the moving direction vector of the animal in each frame is calculated. The moving direction vector is determined as the moving direction of the animal.

[0065] Based on the type of action behavior, the animal's instantaneous action is determined according to the direction of the animal's action and the amplitude of the animal's action. Based on the spatial rectangular coordinate system, the position of the animal after the instantaneous action occurs is obtained. The position of the animal after the instantaneous action occurs is compared with the position of the plant to obtain the change in relative position. Based on the change in relative position, the environmental image is analyzed using image analysis technology to determine whether the plant growth form has changed. If a change has occurred, it is determined that the specific behavior of the animal has affected the plant growth form.

[0066] Through the method provided in this embodiment, firstly, by accurately analyzing the animal behavior image, the spatial position, behavior amplitude and direction of action of the animal can be accurately obtained, providing a reliable data basis for subsequent analysis. Secondly, by combining the spatial position of the animal and the environmental image, the relative position relationship between the animal and the plant can be clarified, which helps to deeply understand the impact of animal behavior on the plant growth environment. Furthermore, by analyzing the animal behavior amplitude and direction of action, the instantaneous action of the animal can be further inferred, which helps to reveal the immediate impact that animal behavior may have on the growth morphology of the plant. Finally, it is determined whether the instantaneous action of the animal causes a change in the growth morphology of the plant, thereby determining the specific impact of the specific behavior of the animal on the growth of the plant. Through the comprehensive use of image processing and behavior analysis, the impact of animal behavior on the growth morphology of the plant can be revealed more comprehensively and deeply.

[0067] In some embodiments, a first horizontal distance between the animal and the boundary of the power facility area and the volume of the animal are obtained based on the animal behavior image; a plant position is determined based on the boundary of the power facility area; a second horizontal distance between the plant and the boundary of the power facility area is obtained based on the plant position; based on the relative position, whether the first horizontal distance is consistent with the second horizontal distance is determined; if the first horizontal distance is consistent with the second horizontal distance, the weight of the animal is determined based on the animal volume; based on the environmental image, whether other substances are falling in the plant position is determined; if other substances are falling, the volume of other substances and other substance types are determined based on the environmental image; based on the type of other substances, relevant literature is retrieved to determine the material density of other substances; based on the material density and the volume of other substances, the weight of other substances is obtained; based on the environmental image, the falling position of other substances is determined; the animal spatial position is compared with the falling position to obtain a position comparison result; based on the comparison result, whether the animal spatial position and the falling position are at the same horizontal position; if the animal spatial position and the falling position are at the same horizontal position, the total weight is determined based on the weight of the animal and the weight of the other substances; it is determined whether the total weight causes the plant growth form to be oriented toward the power facility, and if the plant growth form is oriented toward the power facility, it is determined that a risk is caused.

[0068] The first horizontal distance may be a horizontal distance between the animal and a boundary of the power facility area. The first horizontal distance may be calculated by the animal position and the distance between the animal and the boundary of the power facility area.

[0069] The plant position may be a position of the plant from a boundary of a power facility area, and the plant position may be obtained by analyzing an environmental image using image analysis technology.

[0070] The second horizontal distance may be a horizontal distance between the plant and a boundary of the power facility area. The second horizontal distance may be calculated by the plant position and the distance between the plant and the boundary of the power facility area.

[0071] Other materials may be fallen branches, leaves and fruits of plants.

[0072] Specifically, the data corresponding to the characteristics of all animals are integrated to obtain a preset animal characteristic database. All animal types and the animal information corresponding to all animal types are integrated to obtain a preset animal type library, and all possible types of other substances and information of other substances are integrated to obtain a preset other substance information library. The contour of the animal behavior image is recognized by image recognition technology to obtain the animal contour. The convolutional neural network is used to perform feature recognition on the animal contour to obtain the animal characteristics. The animal characteristics are matched with the preset animal characteristic database to obtain the animal type. The animal contour is extracted to obtain the overall image of the animal. Finally, the animal volume can be calculated using image analysis technology. The first horizontal distance is obtained through the animal behavior image.

[0073] Based on the spatial rectangular coordinate system, the first horizontal distance and the second horizontal distance are compared to determine whether the first horizontal distance and the second horizontal distance are consistent. If the first horizontal distance and the second horizontal distance are consistent, the density of the current animal is extracted from the preset animal type library according to the animal type. The density of the current animal and the animal volume are multiplied to obtain the weight of the animal. The environmental image is segmented using image segmentation technology to obtain an environmental image segmentation result. The features of each environmental segmentation image are extracted from the environmental image segmentation result, and feature recognition is performed on each environmental segmentation image to obtain a feature recognition result. The feature recognition results are integrated to obtain a complete outline of the plant. According to the complete outline of the plant, the range formed by the complete outline of the plant is obtained. According to the environmental image analysis result, it is determined whether other substances have fallen in the range formed by the complete outline of the plant.

[0074] If there is a situation where other substances have fallen, the images of other substances are obtained based on the results of the plant image analysis. The images of other substances are identified using image recognition technology to obtain the types of other substances. The images of other substances are analyzed using image analysis technology to obtain the volumes of other substances. The types of other substances are matched with the preset other substance information library to obtain the density of other substances. The volume of other substances is multiplied by the density of other substances to obtain the weight of other substances. The environmental images are analyzed using image analysis technology to obtain the falling positions of other substances. Based on the spatial rectangular coordinate system, the plant trunk is obtained according to the range formed by the complete outline of the plant obtained in the above steps, and the plant trunk is determined as the vertical center line. The spatial position of the animal is compared with the falling position to determine whether the spatial position of the animal and the falling position are on the same side of the vertical center line.

[0075] If the animal's spatial position and the falling position are on the same side of the vertical centerline, the weight of other materials and the weight of the animal are added to obtain the total weight. Based on the environmental image analysis results, it is determined whether the existence of the total weight causes the plant growth pattern to be oriented toward the power facilities. If so, it is determined that a risk is caused.

[0076] If the animal's spatial position and the falling position are not on the same side of the vertical centerline, subtract the animal's weight from the weight of other materials to obtain the weight subtraction value. Take the absolute value of the weight subtraction value to obtain the absolute value of the weight. Based on the environmental image analysis results, determine whether the absolute value of the weight causes the plant growth pattern to be oriented toward the power facilities. If so, it is determined to cause a risk.

[0077] Through the method provided by this embodiment, a number of technologies such as image processing, spatial analysis, material property calculation and risk assessment are comprehensively used to achieve comprehensive and refined monitoring of the surrounding environment of power facilities. By accurately measuring the position, volume and other attributes of animals and plants, and combining dynamic information in environmental images, such as the detection of falling objects, potential risk factors can be captured and analyzed in real time. Not only is the possible impact of animal behavior on plant growth morphology determined, but also the potential threat to the safety of power facilities from external factors such as the fall of other materials is considered. The all-round and multi-dimensional monitoring and analysis capabilities give it a significant advantage in timely discovering and preventing risks around power facilities, providing a strong guarantee for the safe operation of power facilities.

[0078] In some embodiments, the real-time number and type of animals are determined based on animal behavior images; the instantaneous impact force of the specific behavior of animals on plants is determined based on the real-time number and type of animals; the pressure of animals on plants is obtained based on the weight of animals; the specific form of other substances is obtained based on environmental images; whether other substances are in a static state is determined based on the specific form and falling position of other substances; if other substances are in a static state, the contact points between other substances and plants are determined based on environmental images; whether other substances maintain a relative static state with plants for a long time is determined based on the contact points, the volume of other substances and the weight of other substances; if other substances maintain a relative static state with plants for a long time, it is determined that other substances are on the surface of plants for a long time; based on the weight of other substances, the long-term pressure of other substances on plants is obtained; the long-term pressure and the pressure are added to obtain the total pressure; it is determined whether the total pressure causes the growth form of plants to be toward power facilities, and if the total pressure causes the growth form of plants to be toward power facilities, it is determined that there is a risk.

[0079] The specific form can be the form of other substances in a certain part of the plant.

[0080] The instantaneous impact force can be the force caused by the animal's impact on the plant at a certain moment. The instantaneous impact force can be calculated by adding the force caused by the animal on the plant when performing a specific behavior to the total weight of the animals obtained by multiplying the number of animals by the weight of each animal.

[0081] Specifically, the image analysis technology is used to extract the contours of the animal behavior images to obtain the number of animal contours extracted, and the number of animal contours extracted is determined as the number of animals. According to the real-time number of animals and animal types, the instantaneous impact force is determined. The force generated by the weight of the animal on the plant is determined as the compression force.

[0082] The environmental image is analyzed by image analysis technology to obtain the environmental image analysis results. According to the environmental image analysis results, the specific forms of other substances are obtained. Based on the spatial rectangular coordinate system, according to the environmental image analysis results, the state of other substances at the falling position is obtained.

[0083] If other substances are in a static state, the weight of other substances is determined as the long-term pressure of other substances on plants. The long-term pressure and the pressure are added to get the total pressure. According to the environmental image analysis results, it is determined whether the total pressure causes the plant growth form to change and causes the plant growth form to face the power facilities. If so, it is determined that there is a risk.

[0084] Through the method provided by this embodiment, not only the instantaneous impact of animal behavior on plants is taken into account, but also the pressure of animals and the long-term pressure of other substances on plants are taken into account, so that the total pressure on plants can be more accurately evaluated. In addition, by analyzing environmental images to identify the specific form and static state of other substances, as well as their contact points and relative static state with plants, the accuracy and comprehensiveness of the evaluation are further improved. Ultimately, it is determined whether the total pressure causes the plant growth form to be oriented toward power facilities, so as to timely identify potential risks and provide a scientific basis for taking corresponding measures.

[0085] In some embodiments, if the total pressure does not cause the plant growth morphology to be toward the power facilities, the environmental image is identified to obtain an identification result; based on the identification result, the plant distribution within the preset power facility range is determined; meteorological data is obtained, and based on the meteorological data, the light intensity, light time and temperature at the plant position at different times are obtained; based on the environmental image and the meteorological data, the soil moisture content is obtained; based on the light intensity, light time, soil moisture content and temperature, the plant growth trend is obtained; based on the relative position, it is determined whether the total pressure affects the plant growth morphology; if the total pressure affects the plant growth morphology, it is determined based on the plant growth morphology whether the total pressure causes the plant growth trend to be toward the power facilities; if the total pressure causes the plant growth trend to be toward the power facilities, it is determined that there is a risk.

[0086] The plant distribution condition may be the plant distribution condition within the range of the power facility.

[0087] The preset power facility range may be a certain range centered on the power facility.

[0088] The soil moisture content may be the moisture content at the location of the plant within the range of the electric utility.

[0089] Plant growth trend can be the growth direction and growth rate of plants in the future.

[0090] Specifically, when the total pressure causes the plant growth form to be oriented toward the power facilities, the distribution of plants within the power facilities is obtained based on the image recognition results. Meteorological data can be obtained using the meteorological API, and the light intensity, light time and temperature at different times can be extracted from the obtained meteorological data. The soil morphology in the environmental image is analyzed by image analysis technology to obtain the soil morphology analysis results. The soil moisture content is determined based on the soil morphology analysis results and the effects of light intensity, light time and temperature on soil moisture evaporation. The plant growth rate and plant growth direction are determined based on the comprehensive light intensity, light time, soil moisture content and temperature, and the plant growth rate and plant growth direction are determined as the plant growth trend. Based on the relative position and image analysis results, it is judged whether the total pressure affects the plant growth form. If it does, it is judged whether the plant growth trend is oriented toward the power facilities based on the current growth form of the plant and the pressure of the total pressure on the current growth form of the plant. If it is, it is determined that there is a risk.

[0091] Through the method provided by this embodiment, multi-source data (environmental images, meteorological data) are integrated to comprehensively and dynamically evaluate the growth and risks of plants around power facilities. By accurately identifying plant distribution, real-time monitoring of key environmental factors such as light and temperature, and combining soil moisture information, plant growth trends are accurately predicted, and plants that may grow abnormally towards power facilities due to total pressure are promptly identified, thereby effectively preventing potential safety hazards and ensuring the safe operation of power facilities.

[0092] In some embodiments, historical rainfall, historical evaporation, historical humidity and historical temperature are obtained based on historical meteorological data; historical soil moisture content is obtained based on historical rainfall, historical evaporation, historical humidity and historical temperature; soil color and soil cracking degree are obtained based on environmental images, and the soil color and soil cracking degree are determined as current soil morphology; current soil moisture content reflected by the current soil morphology is obtained based on the current soil morphology and environmental images; the current soil moisture content is compared with the historical soil moisture content to obtain a soil moisture comparison result; if the soil moisture comparison results are consistent, one of the current soil moisture content reflected by the current soil morphology and the historical soil moisture content is determined as the soil moisture content.

[0093] The historical meteorological data may be historical meteorological data corresponding to the environment in which the current power facility is located.

[0094] The historical rainfall may be historical rainfall corresponding to the environment in which the current power facility is located.

[0095] The historical evaporation amount may be a historical evaporation amount corresponding to the current environment of the power facility.

[0096] The historical humidity may be historical humidity corresponding to the environment in which the current power facility is located.

[0097] The historical temperature may be a historical temperature corresponding to the current environment of the electric power facility.

[0098] Specifically, historical rainfall, historical evaporation, historical humidity and historical temperature are extracted from the meteorological data obtained in the above steps. The historical rainfall, historical evaporation, historical humidity and historical temperature are analyzed and calculated by a data analysis algorithm to obtain historical soil moisture content. The soil color and soil cracking degree are extracted from the environmental image. The soil color and soil cracking degree are determined as the current soil morphology. The soil color and soil cracking degree are analyzed to obtain analysis results.

[0099] Determine the degree of soil moisture evaporation based on the analysis results. Determine the current soil moisture content by combining the degree of soil moisture evaporation and the image analysis results. Compare the current soil moisture content with the historical soil moisture content. If the current soil moisture content is consistent with the historical soil moisture content, then determine either the current soil moisture content or the historical soil moisture content as the soil moisture content.

[0100] If the current soil moisture content is inconsistent with the historical soil moisture content, the soil color is compared with the historical soil color, and the soil cracking degree is compared with the historical soil cracking degree to obtain a comprehensive comparison result. The soil moisture content reflected by the comprehensive comparison result is determined as the soil moisture content.

[0101] Through the method provided by this embodiment, a comprehensive and accurate assessment of soil moisture content is achieved by combining historical meteorological data with real-time environmental image analysis. By deeply analyzing meteorological factors such as historical rainfall, evaporation, humidity and temperature, the historical soil moisture content is accurately calculated, providing a reliable reference for the judgment of the current soil moisture content. At the same time, the environmental image is used to identify the soil color and cracking degree, intuitively reflecting the current soil morphology, and then the current soil moisture content is calculated. Comparing the historical and current soil moisture contents effectively improves the accuracy of soil moisture assessment and can more accurately grasp the soil moisture status.

[0102] In some embodiments, a restricted area for power facilities is obtained based on the boundary of the power facility area; the environmental image is analyzed to obtain the static form of the plant; based on the specific behavior of the animal and the relative position change, it is determined whether the static form of the plant has changed; if the static form of the plant has changed, the real-time lighting angle is obtained based on the meteorological data; based on the environmental image, the light intensity and the real-time lighting angle, the real-time shadow image produced by the plant is obtained; based on the power facility restricted area and the real-time shadow image, it is determined whether there is overlap between the power facility restricted area and the real-time shadow image, if so, the overlapping part of the power facility restricted area and the real-time shadow image is marked to obtain the marked overlapping image and the overlapping image area; based on the real-time lighting angle, lighting time and lighting intensity, the area ratio of the overlapping image in the power facility restricted area is calculated; it is determined whether the area ratio exceeds the preset area ratio, if the area ratio exceeds the preset area ratio, it is determined that the specific behavior of the animal causes the growth form of the plant to change.

[0103] The area ratio may be a ratio of the real-time shadow image to the size of the restricted area of ​​the electric power facility.

[0104] The real-time shadow image may be an image of the shadows currently created by the plants.

[0105] The preset area ratio may be the maximum ratio of the preset overlapping area to the restricted area of ​​the power facilities.

[0106] Specifically, the boundary of the power facility area is determined as the power facility restricted area. Based on the image analysis results, the plant's static form and the power facility restricted area are determined. The specific behavior of the animal is extracted from the animal behavior analysis results, and the second static form of the plant is obtained based on the specific behavior of the animal and the relative position change. The static form of the plant is compared with the second static form. If the static form of the plant is inconsistent with the second static form, it is determined that the static form of the plant has changed.

[0107] The real-time illumination angle is obtained from the meteorological data obtained in the above steps. The real-time shadow image is calculated based on the real-time illumination angle, illumination intensity and environmental image. The real-time shadow image and the restricted area of ​​the power facility are delineated to determine whether the outlines overlap. If overlap occurs, the outline of the overlapping part is marked. The outline of the overlapping part is calculated using an image analysis algorithm to obtain the area of ​​the overlapping image.

[0108] The area of ​​the overlapping images is divided by the area of ​​the power facility to obtain the area ratio. The area ratio is compared with the preset area ratio. If the area ratio is greater than the preset area ratio, it is determined that the specific behavior of the animal causes the plant growth form to change.

[0109] Through the method provided in this embodiment, a variety of data sources and technical means are comprehensively used to achieve comprehensive and dynamic monitoring of the restricted areas of power facilities and the surrounding environment. By combining the boundary of the power facility area with environmental image analysis, the static form of plants and their changes can be accurately identified and marked, and then the lighting angle and shadow image can be calculated in real time using meteorological data to effectively monitor the impact of changes in plant growth morphology on the restricted areas of power facilities. In addition, by calculating the area ratio of overlapping images in the restricted areas of power facilities and comparing them with the preset area ratio, potential safety hazards can be discovered and warned in a timely manner, providing strong guarantees for the safe operation of power facilities. This comprehensive monitoring and analysis method not only improves the efficiency and accuracy of power facility management, but also helps to protect the surrounding ecological environment and achieve harmonious coexistence of power facilities and nature.

[0110] In some embodiments, the current maximum light intensity is predicted based on meteorological data; the horizontal distance between the plant and the power facility, the total light exposure time, the average width of the plant, the total area of ​​the power facility restricted area and the height of the plant are obtained based on the environmental image; the area ratio of the overlapping image in the power facility restricted area is calculated based on the horizontal distance, the average width of the plant, the height of the plant, the total light exposure time, the light angle, the light exposure time, the total area of ​​the power facility restricted area and the light intensity, referring to formula (1):

[0111] (1)

[0112] in, Indicates the area ratio, Indicates the height of the plant. represents the average plant width, Indicates the lighting angle, Represents the total area of ​​the restricted area for power facilities, Describe the light exposure time, Indicates the light intensity, Total light time, Indicates the maximum light intensity.

[0113] The average plant width may be the average width of the overall shape of the plant.

[0114] Specifically, the light intensity within a certain period of time is extracted from the meteorological data obtained in the above steps, and the current maximum light intensity is predicted based on the light intensity within a certain period of time. According to the environmental image analysis results obtained in the above steps, the size of the plant in the image and the proportion of the plant image are obtained. According to the size of the plant in the image and the proportion of the plant image, the height of the plant is obtained.

[0115] According to the results of environmental image analysis, the overall outline of the plant is delineated, and the overall outline of the plant is divided at a certain distance in the vertical position to obtain the outline length of each position. The outline length of each position is arithmetic averaged to obtain the average width of the plant.

[0116] According to the horizontal distance, average plant width, plant height, total illumination time, illumination angle, illumination time, total area of ​​the power facility restricted area and illumination intensity, refer to formula (1) to calculate the area ratio of the overlapping image in the power facility restricted area.

[0117] Through the method provided in this embodiment, by integrating multiple data sources and applying calculation formulas, an accurate prediction of the overlapping area between the restricted area of ​​power facilities and plant shadows is achieved. Not only the physical characteristics of the plant such as height and width are taken into account, but also meteorological factors such as light angle, light intensity, and light time, as well as the total area of ​​the restricted area of ​​power facilities are combined, so that the area ratio of the overlapping image in the restricted area of ​​power facilities can be calculated comprehensively and accurately. This comprehensive calculation method not only improves the accuracy and reliability of the prediction, but also can timely discover and warn of the potential impact of changes in plant growth morphology on the safe operation of power facilities, providing strong technical support for the management and maintenance of power facilities.

[0118] In some embodiments, historical meteorological data is retrieved to determine the optimal value of light intensity, optimal value of light time, optimal value of soil moisture content, and optimal value of temperature for plant growth; light intensity data, light time data, soil moisture content data, and temperature data under different plant growth trends are obtained; the light intensity data, light time data, soil moisture content data, and temperature data are fitted to obtain light intensity parameter values, light time parameter values, soil moisture content parameter values, and temperature parameter values; according to the light intensity data, light time data, soil moisture content data, temperature data, light intensity parameter values, light time parameter values, soil moisture content parameter values, and temperature parameter values, light intensity variance, light time variance, soil moisture content variance, and temperature variance are obtained; according to the optimal value of light intensity, optimal value of light time, optimal value of soil moisture content, optimal value of temperature, light intensity variance, light time variance, soil moisture content variance, and temperature variance, the plant growth trend is obtained, referring to formula (2):

[0119] (2)

[0120] in, For plant growth trends, is a constant, is the light intensity, is the optimal value of light intensity, is the illumination time, is the optimal illumination time. is the soil moisture content, is the optimal soil moisture content. is the temperature, is the optimal temperature value, is the light intensity variance, is the variance of illumination time, is the soil moisture variance, is the temperature variance.

[0121] The optimal light intensity may be the light intensity that is most conducive to plant growth.

[0122] The optimal light duration may be the light duration that is most conducive to plant growth.

[0123] The optimal soil moisture content may be the soil moisture content that is most conducive to plant growth.

[0124] The temperature optimum may be the temperature most conducive to plant growth.

[0125] Specifically, by retrieving historical meteorological data, the optimal value of light intensity, the optimal value of light time, the optimal value of soil moisture content, and the optimal value of temperature are obtained from the meteorological data. The optimal value of light intensity, the optimal value of light time, the optimal value of soil moisture content, and the optimal value of temperature are determined as the optimal value of environmental factors. Retrieve plant-related literature to obtain several environmental data of light intensity, light time, soil moisture content, and temperature of plants under different growth trends. Perform linear regression fitting on several environmental data to obtain parameter values ​​of several environmental data. Subtract the optimal value of environmental factors from the parameter value of several environmental data to obtain a subtracted value. Perform arithmetic square calculation on the subtracted value to obtain the variance of light intensity, variance of light time, variance of soil moisture content, and variance of temperature.

[0126] According to the optimal value of light intensity, optimal value of light time, optimal value of soil moisture content, optimal value of temperature, variance of light intensity, variance of light time, variance of soil moisture content and variance of temperature, refer to formula (2) to obtain the plant growth trend.

[0127] Through the method provided by this embodiment, a variety of environmental factors are integrated, and through data fitting and variance analysis methods, accurate prediction of plant growth trends is achieved. Not only key environmental factors such as light intensity, light duration, soil moisture content and temperature are considered, but also the optimal values ​​of these environmental factors are determined by combining historical meteorological data with actual plant growth data. At the same time, by fitting the environmental data under different plant growth trends, the parameter values ​​of the environmental factors are obtained, and the variance of each environmental factor is further calculated, thereby more comprehensively describing the impact of environmental factors on plant growth trends. Finally, by comprehensively applying the optimal value and variance information, the scheme can accurately predict plant growth trends and provide a scientific basis for subsequent risk monitoring.

[0128] Figure 3 A schematic diagram of a power facility risk monitoring system provided in an embodiment of the present application is shown in FIG. Figure 3 As shown, the power facility risk monitoring system 300 of this embodiment includes: an image determination module 301, a specific behavior determination module 302, a growth form determination module 303, an impact judgment module 304, an impact degree determination module 305 and a processing strategy determination module 306.

[0129] An image determination module 301 is used to obtain monitoring information of power facilities, analyze the monitoring information, and determine animal behavior images and environmental images of power facilities;

[0130] A specific behavior determination module 302 is used to obtain the specific behavior of the animal based on the animal behavior image;

[0131] A growth form determination module 303 is used to obtain the plant growth form according to the environmental image;

[0132] The impact judgment module 304 is used to analyze the animal behavior image and the environment image to determine whether the specific behavior of the animal has an impact on the growth form of the plant;

[0133] The impact degree determination module 305 is used to determine whether the impact causes risk to the power facilities if the specific behavior of the animal affects the growth form of the plant, and if so, determine the risk impact degree according to the risk;

[0134] The processing strategy determination module 306 is used to determine the risk processing strategy according to the risk impact degree, and send the risk processing strategy to the power facility management personnel to provide a reference for the power facility management personnel to perform risk processing.

[0135] Optionally, the impact judgment module 304 is specifically used to: obtain the spatial position of the animal based on the animal behavior image; analyze the specific behavior of the animal to obtain the animal behavior amplitude and the animal movement direction; determine the relative position of the animal and the plant based on the animal spatial position and the environmental image; analyze the animal behavior amplitude and the animal movement direction to obtain the animal's instantaneous action; determine the relative position change based on the animal's instantaneous action; based on the relative position change, determine whether the animal's instantaneous action causes the plant growth form to change; if the animal's instantaneous action causes the plant growth form to change, then determine that the specific behavior of the animal has an impact on the plant growth form.

[0136] Optionally, the impact degree determination module 305 is specifically used to: obtain a first horizontal distance between the animal and the boundary of the power facility area and the animal volume based on the animal behavior image; determine the plant position based on the boundary of the power facility area; obtain a second horizontal distance between the plant and the boundary of the power facility area based on the plant position; determine whether the first horizontal distance is consistent with the second horizontal distance based on the relative position; if the first horizontal distance is consistent with the second horizontal distance, determine the animal weight based on the animal volume; determine whether other substances are falling in the plant position based on the environmental image; if other substances are falling, determine the volume of other substances and other substance types based on the environmental image; based on the types of other substances, Relevant literature is retrieved to determine the material density of other substances; based on the material density and the volume of other substances, the weight of other substances is obtained; based on the environmental image, the falling position of other substances is determined; the spatial position of the animal is compared with the falling position to obtain the position comparison result; based on the comparison result, it is determined whether the spatial position of the animal and the falling position are at the same horizontal position; if the spatial position of the animal and the falling position are at the same horizontal position, the weight of other substances is determined based on the volume and material density of other substances; the total weight is determined based on the weight of the animal and the weight of other substances; it is determined whether the total weight causes the growth form of the plant to be directed toward the power facilities, and if the growth form of the plant is directed toward the power facilities, it is determined that a risk is caused.

[0137] Optionally, the impact degree determination module 305 is specifically used to: determine the real-time number and type of animals based on the animal behavior image; determine the instantaneous impact force of the specific behavior of the animals on the plants based on the real-time number and type of animals; obtain the pressure of the animals on the plants based on the weight of the animals; obtain the specific form of other substances based on the environmental image; judge whether the other substances are in a static state based on the specific form and falling position of the other substances; if the other substances are in a static state, determine the contact point between the other substances and the plants based on the environmental image; judge whether the other substances maintain a relatively static state with the plants for a long time based on the contact point, the volume of the other substances and the weight of the other substances; if the other substances maintain a relatively static state with the plants for a long time, determine that the other substances are on the surface of the plants for a long time; obtain the long-term pressure of the other substances on the plants based on the weight of the other substances; add the long-term pressure and the pressure to obtain the total pressure; judge whether the total pressure causes the growth form of the plants to be oriented toward the power facilities. If the total pressure causes the growth form of the plants to be oriented toward the power facilities, it is determined that there is a risk.

[0138] Optionally, the power facility risk monitoring system 300 also includes a growth trend prediction module 307, which is specifically used to: if the total pressure does not cause the plant growth form to be toward the power facilities, then identify the environmental image to obtain an identification result; determine the plant distribution within the preset power facility range based on the identification result; obtain meteorological data, and obtain the light intensity, lighting time and temperature at the plant position at different times based on the meteorological data; obtain soil moisture content based on the environmental image and meteorological data; obtain plant growth trend based on the light intensity, lighting time, soil moisture content and temperature; determine whether the total pressure affects the plant growth form based on the relative position; if the total pressure affects the plant growth form, determine whether the total pressure causes the plant growth trend to be toward the power facilities based on the plant growth form; if the total pressure causes the plant growth trend to be toward the power facilities, determine that there is a risk.

[0139] Optionally, the growth trend prediction module 307 is specifically used to: obtain historical rainfall, historical evaporation, historical humidity and historical temperature based on historical meteorological data; obtain historical soil moisture content based on historical rainfall, historical evaporation, historical humidity and historical temperature; obtain soil color and soil cracking degree based on environmental images, and determine the soil color and soil cracking degree as current soil morphology; obtain current soil moisture content reflected by the current soil morphology based on the current soil morphology and environmental images; compare the current soil moisture content with the historical soil moisture content to obtain a soil moisture content comparison result; if the soil moisture content comparison results are consistent, determine one of the current soil moisture content reflected by the current soil morphology and the historical soil moisture content as the soil moisture content.

[0140] Optionally, the impact judgment module 302 is specifically used to: obtain the power facility restricted area according to the boundary of the power facility area; analyze the environmental image to obtain the static form of the plant; determine whether the static form of the plant has changed according to the specific behavior of the animal and the relative position change; if the static form of the plant has changed, obtain the real-time lighting angle according to the meteorological data; obtain the real-time shadow image produced by the plant according to the environmental image, light intensity and real-time lighting angle; determine whether there is overlap between the power facility restricted area and the real-time shadow image according to the power facility restricted area and the real-time shadow image, if so, mark the overlapping part of the power facility restricted area and the real-time shadow image to obtain the marked overlapping image and the overlapping image area; calculate the area ratio of the overlapping image in the power facility restricted area according to the real-time lighting angle, lighting time and lighting intensity; determine whether the area ratio exceeds the preset area ratio, if the area ratio exceeds the preset area ratio, it is determined that the specific behavior of the animal causes the plant growth form to change.

[0141] Optionally, the impact judgment module 302 is specifically used to: predict the current maximum light intensity based on meteorological data; obtain the horizontal distance between the plant and the power facility, the total light exposure time, the average width of the plant, the total area of ​​the power facility restricted area and the height of the plant based on the environmental image; calculate the area ratio of the overlapping image in the power facility restricted area based on the horizontal distance, the average width of the plant, the height of the plant, the total light exposure time, the light angle, the light exposure time, the total area of ​​the power facility restricted area and the light intensity, referring to the following formula:

[0142] ;

[0143] in, Indicates the area ratio, Indicates the height of the plant. represents the average plant width, Indicates the lighting angle, Represents the total area of ​​the restricted area for power facilities, Describe the light exposure time, Indicates the light intensity, Total light time, Indicates the maximum light intensity.

[0144] Optionally, the growth trend prediction module 307 is specifically used to: retrieve historical meteorological data to determine the optimal value of light intensity, optimal value of light time, optimal value of soil moisture content, and optimal value of temperature for plant growth; obtain light intensity data, light time data, soil moisture content data, and temperature data under different plant growth trends; fit the light intensity data, light time data, soil moisture content data, and temperature data to obtain light intensity parameter values, light time parameter values, soil moisture content parameter values, and temperature parameter values; obtain light intensity variance, light time variance, soil moisture content variance, and temperature variance based on the light intensity data, light time data, soil moisture content data, temperature data, light intensity parameter values, light time parameter values, soil moisture content parameter values, and temperature parameter values; obtain plant growth trends based on the optimal value of light intensity, optimal value of light time, optimal value of soil moisture content, optimal value of temperature, light intensity variance, light time variance, soil moisture content variance, and temperature variance, with reference to the following formula:

[0145] ;

[0146] in, For plant growth trends, is a constant, is the light intensity, is the optimal value of light intensity, is the illumination time, is the optimal illumination time. is the soil moisture content, is the optimal soil moisture content. is the temperature, is the optimal temperature value, is the light intensity variance, is the variance of illumination time, is the soil moisture variance, is the temperature variance.

[0147] The system of this embodiment can be used to execute the method of any of the above embodiments. The implementation principles and technical effects are similar and will not be described in detail here.

Claims

1. A method for monitoring risk of electric power facilities, characterized in that: include: Acquiring monitoring information of power facilities, analyzing the monitoring information, and determining animal behavior images and environmental images of power facilities; Obtaining specific animal behaviors according to the animal behavior images; Obtaining plant growth morphology according to the environmental image; Analyzing the animal behavior image and the environment image to determine whether the specific behavior of the animal has an impact on the growth morphology of the plant; If the specific behavior of the animal has an impact on the growth form of the plant, determine whether the impact poses a risk to the power facilities; if so, determine the degree of risk impact based on the risk; Determine a risk handling strategy according to the risk impact degree, and send the risk handling strategy to the power facility manager to provide a reference for the power facility manager to handle the risk; The analyzing the animal behavior image and the environment image to determine whether the specific behavior of the animal has an impact on the growth form of the plant includes: Obtaining the spatial position of the animal according to the animal behavior image; Analyze the specific behavior of the animal to obtain the animal's behavior amplitude and animal action direction; Determining the relative positions of the animals and plants according to the spatial positions of the animals and the environmental image; Analyzing the animal's behavior amplitude and the animal's movement direction to obtain the animal's instantaneous movement; Determining a relative position change according to the instantaneous movement of the animal; According to the relative position change, determining whether the instantaneous action of the animal causes the growth form of the plant to change; If the instantaneous action of the animal causes the growth form of the plant to change, then it is determined that the specific behavior of the animal has an impact on the growth form of the plant; If the specific behavior of the animal affects the growth form of the plant, determining whether the impact poses a risk to the power facilities includes: Obtaining a first horizontal distance between the animal and a boundary of the power facility area and a volume of the animal according to the animal behavior image; Determining plant locations based on the boundaries of the power facility area; According to the plant position, obtaining a second horizontal distance between the plant and the boundary of the power facility area; According to the relative position, determining whether the first horizontal distance is consistent with the second horizontal distance; if the first horizontal distance is consistent with the second horizontal distance, determining the weight of the animal according to the volume of the animal; judging, based on the environmental image, whether other objects are falling in the location of the plant; If the other material is falling, determining the volume of the other material and the type of the other material according to the environment image; Based on the type of the other substance, searching relevant literature to determine the material density of the other substance; Obtaining the weight of the other substance according to the density of the substance and the volume of the other substance; Determining the falling position of the other substances according to the environmental image; Comparing the spatial position of the animal with the falling position to obtain a position comparison result; According to the comparison result, determining whether the spatial position of the animal and the falling position are at the same horizontal position; If the spatial position of the animal and the falling position are at the same horizontal position, the total weight is determined based on the weight of the animal and the weight of the other materials; It is determined whether the total weight causes the plant growth form to be directed toward the power facility; if the plant growth form is directed toward the power facility, it is determined that a risk is caused.

2. The method according to claim 1, characterized in that The determining whether the total weight causes the plant growth form to be oriented toward the power facility includes: Determine the real-time number and type of animals according to the animal behavior images; Determining the instantaneous impact of the specific behavior of the animals on the plants according to the real-time animal quantity and the animal type; According to the weight of the animal, the pressure of the animal on the plant is obtained; According to the environmental image, obtaining the specific form of other substances; According to the specific form of the other substance and the falling position, determining whether the other substance is in a stationary state; If the other substance is in a stationary state, determining the contact point between the other substance and the plant according to the environmental image; Judging whether the other substance and the plant remain in a relatively static state for a long time according to the contact point, the volume of the other substance and the weight of the other substance; If the other substance and the plant remain in a relatively static state for a long time, it is determined that the other substance is on the surface of the plant for a long time; According to the weight of the other substances, obtaining the long-term pressure of the other substances on the plants; Adding the long-term compressive force and the compressive force to obtain a total compressive force; It is determined whether the total pressure causes the plant growth form to be directed toward the power facility. If the total pressure causes the plant growth form to be directed toward the power facility, it is determined that there is a risk.

3. The method according to claim 2, characterized in that After determining whether the total pressure causes the plant growth pattern to be oriented toward the power facility, the method further includes: If the total compressive force does not cause the plant growth form to be oriented toward the power facility, identifying the environmental image to obtain an identification result; Determining the distribution of plants within the preset power facility range according to the identification results; Acquire meteorological data, and obtain light intensity, light duration and temperature at different times at the plant location according to the meteorological data; Obtaining soil moisture content according to the environmental image and the meteorological data; Obtaining a plant growth trend according to the light intensity, the light duration, the soil moisture content and the temperature; According to the relative position, determining whether the total pressure affects the growth form of the plant; if the total pressure affects the growth form of the plant, determining whether the total pressure causes the growth trend of the plant to be toward the power facility according to the growth form of the plant; If the total pressure causes the plant growth trend to be toward the power facility, it is determined that there is a risk.

4. The method according to claim 3, characterized in that The step of obtaining soil moisture content according to the environmental image and the meteorological data includes: According to the historical meteorological data, the historical rainfall, historical evaporation, historical humidity and historical temperature are obtained; Obtaining historical soil moisture content according to the historical rainfall, the historical evaporation, the historical humidity and the historical temperature; Obtaining soil color and soil cracking degree according to the environmental image, and determining the soil color and the soil cracking degree as the current soil morphology; According to the current soil morphology and the environmental image, obtaining the current soil moisture content reflected by the current soil morphology; Comparing the current soil moisture content with the historical soil moisture content to obtain a soil moisture content comparison result; If the soil moisture content comparison results are consistent, one of the current soil moisture content reflected by the current soil morphology and the historical soil moisture content is determined as the soil moisture content.

5. The method according to claim 3, characterized in that: The step of judging, based on the relative position change, whether the instantaneous action of the animal causes the growth form of the plant to change includes: According to the boundary of the power facility area, a power facility restricted area is obtained; Analyzing the environmental image to obtain a static form of the plant; Judging whether the static form of the plant has changed according to the specific behavior of the animal and the change in relative position; If the static form of the plant changes, the real-time illumination angle is obtained according to the meteorological data; Obtaining a real-time shadow image produced by plants according to the environment image, the light intensity and the real-time light angle; According to the electric power facility restricted area and the real-time shadow image, determining whether there is an overlap between the electric power facility restricted area and the real-time shadow image, and if so, marking the overlapping portion between the electric power facility restricted area and the real-time shadow image to obtain the marked overlapping image and the overlapping image area; Calculate the area ratio of the overlapping image in the restricted area of ​​the power facility according to the real-time illumination angle, the illumination time and the illumination intensity; It is determined whether the area proportion exceeds a preset area proportion. If the area proportion exceeds the preset area proportion, it is determined that the specific behavior of the animal causes the growth form of the plant to change.

6. The method according to claim 5, characterized in that The calculating, according to the real-time illumination angle, the illumination time and the illumination intensity, the area ratio of the overlapping image in the restricted area of ​​the electric power facility comprises: According to the meteorological data, the current maximum light intensity is predicted; According to the environmental image, the horizontal distance between the plant and the power facility, the total illumination time, the average width of the plant, the total area of ​​the power facility restricted area and the height of the plant are obtained; The area ratio of the overlapping image in the power facility restricted area is calculated according to the horizontal distance, the average plant width, the plant height, the total illumination time, the illumination angle, the illumination time, the total area of ​​the power facility restricted area and the illumination intensity, referring to the following formula: ； in, Indicates the area ratio, represents the height of the plant, represents the average width of the plant, represents the illumination angle, represents the total area of ​​the restricted area for the power facilities, represents the illumination time, represents the light intensity, represents the total illumination time, Represents the maximum light intensity.

7. The method according to claim 4, characterized in that The step of obtaining the plant growth trend according to the light intensity, the light duration, the soil moisture content and the temperature includes: Retrieving the historical meteorological data to determine the optimal light intensity, optimal light duration, optimal soil moisture content, and optimal temperature for plant growth; Obtain light intensity data, light duration data, soil moisture data and temperature data under different plant growth trends; Fitting the light intensity data, the light exposure time data, the soil moisture content data and the temperature data to obtain a light intensity parameter value, a light exposure time parameter value, a soil moisture content parameter value and a temperature parameter value; According to the light intensity data, the light time data, the soil moisture data, the temperature data, the light intensity parameter value, the light time parameter value, the soil moisture parameter value and the temperature parameter value, obtaining the light intensity variance, the light time variance, the soil moisture variance and the temperature variance; According to the optimal value of light intensity, the optimal value of light time, the optimal value of soil moisture content, the optimal value of temperature, the light intensity variance, the light time variance, the soil moisture content variance and the temperature variance, the plant growth trend is obtained, referring to the following formula: ； in, is the growth trend of the plant, is a constant, is the light intensity, is the optimal value of light intensity, is the illumination time, is the optimal value of the illumination time, is the soil moisture content, is the optimal value of soil moisture content, is the temperature, is the optimal temperature value, is the light intensity variance, is the illumination time variance, is the soil moisture variance, is the temperature variance.

8. A power facility risk monitoring system, characterized in that: The method as claimed in any one of claims 1 to 7 comprises: An image determination module, used to obtain monitoring information of the power facility, analyze the monitoring information, and determine an animal behavior image and an environmental image of the power facility; A specific behavior determination module, used to obtain the specific behavior of the animal based on the animal behavior image; A growth form determination module, used to obtain the plant growth form according to the environmental image; An impact judgment module, used to analyze the animal behavior image and the environment image to determine whether the specific behavior of the animal has an impact on the growth form of the plant; An impact degree determination module is used to determine whether the impact on the plant growth form causes risk to the power facilities if the specific behavior of the animal has an impact on the plant growth form, and if so, determine the risk impact degree according to the risk; The processing strategy determination module is used to determine the risk processing strategy according to the risk impact degree, and send the risk processing strategy to the power facility management personnel to provide a reference for the power facility management personnel to perform risk processing.

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