A power grid operation and maintenance management method and system

Abstract

The application relates to a power grid operation and maintenance management method and system, and relates to the field of power grid operation and maintenance management, which comprises the following steps: collecting internal image information of a preset detection area; if a preset animal feature is contained in the internal image information, performing species identification on the animal feature in the internal image information to obtain an invasive animal species; generating enemy information and a same-species hunted call in response to the invasive animal species; generating a predator hunting call based on the enemy information; and controlling a preset sound simulation device to perform sound simulation on the same-species hunted call and the predator hunting call, so as to drive away the invasive animals. The application has the effect of guaranteeing the safe and stable operation of a power grid.

Description

Technical Field

[0001] This invention relates to the field of power grid operation and maintenance management, and in particular to a power grid operation and maintenance management method and system. Background Technology

[0002] Power grid operation and maintenance management refers to the sum of a series of management activities, including full life-cycle operation monitoring, condition maintenance, fault handling, resource scheduling, and process optimization, for various equipment, lines, networks, and related supporting facilities in the power system.

[0003] Currently, preventing animal intrusion and equipment failure is a crucial aspect of power grid operation and maintenance management. Existing technologies typically employ physical isolation (such as installing bird spikes and protective netting), ultrasonic deterrence, manual inspections and deterrence, and chemical repellents to address animal intrusion issues. These methods, to some extent, reduce the probability of animal intrusion.

[0004] Most of these methods are reactive and cannot be tailored to the species and behavioral characteristics of animals, resulting in unsatisfactory overall intrusion prevention and thus threatening the safe and stable operation of the power grid. These methods need to be improved. Summary of the Invention

[0005] To ensure the safe and stable operation of the power grid, this invention provides a power grid operation and maintenance management method and system.

[0006] In a first aspect, the present invention provides a power grid operation and maintenance management method, which adopts the following technical solution:

[0007] A power grid operation and maintenance management method includes:

[0008] Acquire internal image information of the preset detection area;

[0009] If the internal image information contains preset animal features, the animal features are identified from the internal image information to determine the species of the invasive animal;

[0010] In response to the invasive animal species, generate predator information and hunting calls of the same species;

[0011] Based on the predator information, predator hunting calls are generated;

[0012] The system controls a preset sound simulation device to simulate the hunting calls of the same species and the hunting calls of the natural enemy, thereby driving away invading animals.

[0013] By adopting the above technical solution, the system first collects internal image information of the detection area, accurately identifies whether animal characteristics are present, and if so, further identifies the specific species of the invading animal. For different species of invading animals, it generates information on their natural enemies and their hunting calls, and simulates the sounds of predators hunting based on this information. The system simultaneously plays the hunting calls of animals and the predator's calls using a sound simulation device, leveraging the animals' instinctive fear to efficiently drive them away. Through proactive identification, precise matching, and biologically driven deportation logic, the system significantly reduces the risk of equipment failure caused by animal intrusion, further ensuring the safe and stable operation of the power grid.

[0014] Optional, also includes:

[0015] Hunting videos were matched based on the invasive animal species and the information on their natural enemies;

[0016] Responding to the hunting video to obtain hunting segment information;

[0017] The timing of the call is determined based on the hunting segment information;

[0018] The system controls a preset projection device to project the hunting video and controls the sound simulation device to simulate the calls of the hunted species and the calls of the predator at the specified call times.

[0019] Optionally, a method for projecting the hunting video may also be included:

[0020] Collect animal image information;

[0021] The animal's current location is determined by combining the animal image information, the animal's characteristics, and the preset cabinet layout.

[0022] The animal's gaze direction is determined by eye-tracking from the animal image information;

[0023] The optimal projection area is generated based on the animal's observation direction and its current position.

[0024] When no components are installed in the optimal projection area, the projection device is controlled to project the hunting video onto the optimal projection area.

[0025] Optionally, the method for projecting the hunting video further includes:

[0026] When components are installed in the optimal projection area, an empty area inside the cabinet is selected based on the image information inside the cabinet and the preset characteristics of the components.

[0027] The modified projection area is determined in response to the empty area inside the cabinet and the animal's observation direction.

[0028] The initial position of the guide ray is generated based on the animal's observation direction;

[0029] The guide ray movement parameters are generated by combining the initial position of the guide ray and the modified projection area;

[0030] The preset laser beam device is controlled to direct the guide beam from its initial position to the animal's current position, and then the line of sight is guided by the guide beam's movement parameters.

[0031] After the line of sight is guided, the projection device is controlled to project the hunting video onto the modified projection area.

[0032] Optional, also includes:

[0033] Acquire image information inside the cabinet;

[0034] The location of the animal entering the cabinet is determined based on the image information inside the cabinet and the preset opening features.

[0035] The direction of herding can be determined based on the animal's current location and the location where the animal entered the cabinet;

[0036] The odor simulation device number is generated in response to the animal's current position, the direction of the drive, and the preset cabinet layout.

[0037] Based on the aforementioned predator information, a specific simulated odor is derived;

[0038] While controlling the projection device to project the hunting video, and controlling the sound simulation device to simulate the calls of the same kind being hunted and the calls of the predator at the time of the calls, the odor simulation device corresponding to the odor simulation device number is controlled to release the odor with the specific simulated odor.

[0039] Optional, also includes:

[0040] Collect images of animals being driven away;

[0041] Determine whether the animal chasing image contains animal features;

[0042] When the animal's features are present in the animal chasing image, an animal intrusion alert should be reported.

[0043] In response to the animal intrusion alert, a preset component protection partition is activated to protect the components.

[0044] When the animal driving image does not contain the animal's features, the cabinet is detected using a preset driving detection method.

[0045] Optionally, the driving away detection method includes:

[0046] The ventilation angle is generated based on the animal's current position and the preset position of the ventilation device;

[0047] Determine whether the animal driving away image contains preset animal residue features;

[0048] If not included, the preset ventilation and blowing device will be activated directly to ventilate and blow air at the specified ventilation and blowing angle;

[0049] If included, the types of animal residue features are identified from the animal driving-away images to determine the types of residue features;

[0050] A residue removal method is generated in response to the type of residue feature, and the animal residue feature is removed based on the residue removal method.

[0051] Optionally, the types of residual characteristics include solid residues and liquid residues, and the residue removal method includes:

[0052] When the type of residual feature is solid residue, the location of the solid residue is obtained by identifying the location of the animal residual feature from the animal driving image;

[0053] Combine the location of the solid residue with the preset solid residue collection location and the blowing angle;

[0054] The preset blowing device is controlled to blow air at the blowing angle, thereby blowing the solid residue to the solid residue collection location;

[0055] When the type of residual feature is liquid residue, determine from the animal driving away image whether the animal residual feature is located in a preset cooling zone;

[0056] If located, the preset cooling replacement device will be controlled to drag the preset cooling insulation cotton in the cooling area into the preset solid residue collection position and replace it with a new cooling insulation cotton.

[0057] If not located, the preset cooling replacement device will cover the animal residue feature with preset cooling insulation cotton and report a liquid residue absorption prompt.

[0058] Optional features include internal heat dissipation methods:

[0059] Collect the temperature value inside the cabinet;

[0060] When the temperature inside the cabinet exceeds a preset high temperature threshold, the system knows that the temperature has exceeded the threshold based on the temperature inside the cabinet and the high temperature threshold.

[0061] In response to the temperature exceeding the value, heat dissipation power is generated;

[0062] The preset cooling replacement device is controlled to pull the preset cooling insulation cotton out of the preset cooling area, so that the preset cooling liquid in the cooling area can absorb heat.

[0063] The preset heat dissipation device is controlled to discharge the heat absorbed by the cooling liquid to the outside of the cabinet with the heat dissipation power, thereby completing the heat dissipation inside the cabinet.

[0064] Secondly, this application provides a power grid operation and maintenance management system, which adopts the following technical solution:

[0065] A power grid operation and maintenance management system, comprising:

[0066] The acquisition module is used to acquire internal image information;

[0067] A memory is used to store programs that implement any of the above-mentioned power grid operation and maintenance management methods;

[0068] The processor is used to load and execute programs stored in memory.

[0069] In summary, this application includes at least one of the following beneficial technical effects:

[0070] 1. The system first collects internal image information of the detection area, accurately identifies whether animal features are present, and if so, further identifies the specific species of the invading animal. For different species of invading animals, it generates information on their natural enemies and their hunting calls, and simulates the hunting sounds of natural enemies based on the enemy information. The system simultaneously plays the hunting calls of animals and the hunting calls of natural enemies through sound simulation equipment, utilizing the animals' instinctive fear to achieve efficient deportation. Through proactive identification, precise matching, and biologically driven deportation logic, the system significantly reduces the risk of equipment failure caused by animal intrusion, further ensuring the safe and stable operation of the power grid.

[0071] 2. By identifying the location of animals entering the enclosure through image information inside the enclosure, and determining the direction of repulsion based on the animal's current location, the system then matches the corresponding odor simulation equipment according to the enclosure layout. Simultaneously, it generates targeted simulated odors based on predator information. In addition to projecting hunting videos and playing the calls of prey and predator hunting sounds, it simultaneously releases specific simulated odors related to predators, creating a triple stimulus of visual, auditory, and olfactory senses. This allows for faster and more thorough removal of intruding animals from the enclosure, significantly improving repulsion efficiency.

[0072] 3. The system collects the temperature inside the cabinet in real time. When the temperature exceeds the high-temperature threshold, it generates an appropriate heat dissipation power based on the degree of temperature exceedance. The cooling insulation cotton in the cooling area is pulled out through the cooling replacement device, allowing the cooling liquid to directly contact the air inside the cabinet to absorb heat. At the same time, the heat dissipation device is controlled to discharge the heat absorbed by the cooling liquid outside the cabinet using the generated heat dissipation power, forming a closed-loop cooling process of "heat absorption-heat dissipation". This ensures that the heat dissipation capacity is precisely matched with the temperature requirements inside the cabinet, avoiding the energy waste or insufficient heat dissipation problems that may be caused by traditional fixed-power heat dissipation. This not only ensures the safe operation of the equipment under high-temperature conditions, but also optimizes the energy consumption of the heat dissipation system. Attached Figure Description

[0073] Figure 1 This is a flowchart illustrating a power grid operation and maintenance management method.

[0074] Figure 2 This is a flowchart of the expulsion detection method;

[0075] Figure 3 This is a flowchart of the cabinet heat dissipation method. Detailed Implementation

[0076] The present invention will now be described in further detail with reference to the accompanying drawings and embodiments.

[0077] Reference Figure 1 This application discloses a power grid operation and maintenance management method, including the following steps:

[0078] S1: Acquire internal image information of the preset detection area.

[0079] The detection area refers to the specific area where power grid equipment is located that requires animal intrusion monitoring, such as the interior of distribution boxes, switch cabinet cavities, cable trenches, and other installation spaces for power equipment that are susceptible to animal interference. In this embodiment, the detection area is the interior of the switch cabinet.

[0080] Internal image information refers to images of the inside of the switch cabinet. These images are captured by pre-installed cameras within the switch cabinet.

[0081] S2: If the internal image information contains preset animal features, the animal features are identified from the internal image information to determine the species of the invasive animal.

[0082] Animal features refer to visual characteristics used to identify the presence of animals in an image, such as fur texture, limb outline, head shape, etc. These are specifically defined by those skilled in the art based on the morphological characteristics of common invasive animals (such as rats, birds, and snakes), and will not be elaborated here.

[0083] Invasive animal species refer to the specific categories of animals that enter the detection area.

[0084] The animal characteristics are identified from internal image information using image recognition technology, and then the animal species corresponding to the animal characteristics are matched from a preset animal characteristic database to obtain the invasive animal species.

[0085] The animal feature database stores different animal species corresponding to different animal features. The animal feature database is pre-set by those skilled in the art and will not be elaborated upon here. Image recognition technology is common knowledge in the field and will not be elaborated upon here.

[0086] If the internal image information contains animal features, it means that an animal has entered the detection area. The species of the invading animal must be identified first for subsequent steps.

[0087] S3: In response to the invasive animal species, generate predator information and hunting calls of the same species.

[0088] Natural enemy information refers to biological information that corresponds to invasive animal species and has a predatory or deterrent relationship with them in nature. A pre-set animal natural enemy reference table can be used to look up the natural enemy information corresponding to different invasive animal species. This table records different natural enemy information for different invasive animal species. The reference content in the animal natural enemy reference table is formed by those skilled in the art by sequentially recording the different natural enemy information corresponding to different invasive animal species, which will not be elaborated upon here.

[0089] The hunting call of a species of invasive animal refers to the call made by an invasive animal when it is being hunted by a predator. A pre-set animal call comparison table can be used to look up the hunting call of a species of invasive animal. The table records different hunting calls of different species of invasive animals. The comparison content in the animal call comparison table is formed by a person skilled in the art by recording the different hunting calls of different species of invasive animals in sequence, which will not be elaborated here.

[0090] S4: Generate predator hunting calls based on the predator information.

[0091] Predator hunting calls refer to the characteristic sounds emitted by predators when hunting. These calls are obtained by matching against a pre-set predator sound database. This database stores audio data of the characteristic hunting calls of different predators, which are pre-entered by those skilled in the art based on the hunting sound characteristics of common predators. When the system acquires predator information, it retrieves and matches the hunting call corresponding to that predator from the database, thereby generating predator hunting calls used to drive away invasive animals.

[0092] S5: Control the preset sound simulation device to simulate the hunting calls of the same kind and the hunting calls of the natural enemy, so as to drive away the invading animals.

[0093] Sound simulation equipment refers to electronic devices installed within a detection area to play preset sounds. By controlling the sound simulation equipment to simulate the calls of other animals being hunted and the calls of predators, invasive animals can be deterred and driven away.

[0094] After the animals are driven away, an animal intrusion alert must be reported to prompt maintenance personnel to conduct an on-site inspection.

[0095] It also includes the following steps:

[0096] S50: Match hunting videos based on the invasive animal species and the predator information.

[0097] Hunting videos refer to videos recording the process of natural enemies hunting invasive species of the same kind. These videos are obtained by matching against a pre-set hunting video database. This database stores hunting videos of different invasive animal species and their corresponding natural enemies, which are pre-entered by those skilled in the art based on common predator-prey relationships between invasive animals and their natural enemies. Once the invasive animal species and natural enemy information are determined, the corresponding hunting videos need to be retrieved and matched from this database for subsequent steps.

[0098] S51: Respond to the hunting video to know hunting segment information.

[0099] Hunting segment information refers to the time intervals of hunting scenes in hunting videos. By analyzing the audio and video of hunting videos, key scene segments in the video where predators initiate hunting or attack invasive animals of the same species are located, and the corresponding time intervals of these segments are extracted to determine the hunting segment information.

[0100] S52: Determine the timing of the call based on the hunting fragment information.

[0101] The time point of a call refers to the specific time coordinate corresponding to the calls of prey and predators within a hunting segment. By analyzing the video and audio tracks corresponding to the hunting segment information, the audio features of the calls of prey and predators are extracted, and these features are matched to the specific times of occurrence within the time interval of the hunting segment, thereby determining the corresponding time coordinates and thus obtaining the time point of the call.

[0102] S53: Control the preset projection device to project the hunting video, and control the sound simulation device to simulate the calls of the hunted species and the hunting calls of the predator at the call time point.

[0103] The projection device refers to a projector installed within the detection area. The projection device projects hunting videos, and the sound simulation device simulates the calls of prey and their own kind at specific times to drive away intruding animals.

[0104] The method for projecting the hunting video includes the following steps:

[0105] S530: Collects animal image information.

[0106] Animal image information refers to images taken of invasive animals. Animal image information is obtained through camera captures.

[0107] S531: Combine the animal image information, the animal characteristics, and the preset cabinet layout to determine the animal's current location.

[0108] The internal layout of the switchgear refers to the structural distribution information of the components inside the switchgear, including the installation positions of the components, the distribution of partitions, and the direction of passageways. The internal layout of the switchgear is predetermined by those skilled in the art and will not be elaborated here.

[0109] The current location of an animal refers to its specific position within the detection area. Animal features are extracted from the animal image information and matched with the layout inside the cabinet. Then, by analyzing the pixel coordinates of the animal features in the image and combining this with the actual physical dimensions of the cabinet layout, the relative position in the image is converted into absolute spatial coordinates within the detection area, thus determining the animal's current location.

[0110] S532: Perform eye-tracking from the animal image information to determine the animal's observation direction.

[0111] Animal observation direction refers to the direction in which an animal's gaze is focused, identified from animal image information using a gaze-following algorithm. Gait-following algorithms are common knowledge in this field and will not be elaborated upon here.

[0112] S533: Generate the optimal projection area based on the animal's observation direction and the animal's current position.

[0113] The optimal projection area refers to the projection area that the animal can see. Using the animal's current position as the origin, and combining the animal's observation direction (i.e., the angle of the animal's gaze), a virtual field of vision is constructed. Then, referring to the layout inside the cabinet, the unobstructed area that can be clearly observed by the animal within this field of vision is selected as the optimal projection area.

[0114] S534: When no components are installed in the optimal projection area, control the projection device to project the hunting video onto the optimal projection area.

[0115] When no components are installed in the optimal projection area, it means that projection can be performed directly. Simply control the projection device to project the hunting video onto the optimal projection area.

[0116] The method for projecting the hunting video also includes the following steps:

[0117] S535: When components are installed in the optimal projection area, an empty area inside the cabinet is selected based on the image information inside the cabinet and the preset characteristics of the components.

[0118] Component characteristics refer to the external features of each component in the detection area. These characteristics are predetermined by those skilled in the art and will not be elaborated upon here.

[0119] Empty areas inside the cabinet refer to the spaces selected from the cabinet's internal image information that do not contain any components. By performing a full-area scan of the cabinet's internal image information, visual features of all areas in the image are extracted. These features are then matched one by one with the features of components to exclude areas where components are installed. The remaining areas that do not match any component features are the empty areas inside the cabinet.

[0120] When the optimal projection area is occupied by components, an empty area inside the cabinet must be selected first for subsequent steps.

[0121] S5350: In response to the empty area inside the cabinet and the animal observation direction, a modified projection area is determined.

[0122] Modifying the projection area refers to both the empty area inside the enclosure and the projection area after adjusting the animal's observation direction. The modified projection area is the area selected from the empty areas inside the enclosure that falls within the animal's line of sight (i.e., the empty area that the animal can observe without significantly turning its gaze).

[0123] S5351: Generate the initial position of the guide ray based on the animal's observation direction.

[0124] The initial position of the guide ray refers to the starting point of the laser ray corresponding to the animal's observation direction. The laser ray is used to attract the animal's attention. By extending a virtual line of sight along the animal's observation direction, a point on this trajectory that is at a preset distance from the animal's current position and is unobstructed is selected as the starting point of the laser ray; this is the initial position of the guide ray. The specific preset distance is set in advance by those skilled in the art and will not be elaborated here.

[0125] S5352: Combine the initial position of the guide ray with the modified projection area to generate guide ray movement parameters.

[0126] The guide ray movement parameters refer to the trajectory data that controls the laser ray's movement from its initial position to the modified projection area, including its movement speed, path angle, and dwell time. These parameters are generated by calculating the spatial path parameters between the guide ray's initial position and the modified projection area. The specific calculation method is common knowledge in this field and will not be elaborated upon here.

[0127] S5353: Control the preset laser beam device to shoot the guide beam from the initial position to the current position of the animal, and then guide the line of sight with the guide beam movement parameters.

[0128] A laser beam device is a laser emitter installed in the detection area. By controlling the laser beam device to emit a visible laser beam from the initial position of the guide beam to the current position of the animal, and then moving it according to the guide beam movement parameters, the animal's line of sight is guided.

[0129] S5354: After the line of sight guidance is completed, control the projection device to project the hunting video onto the modified projection area.

[0130] Once the line of sight is guided, the control projection device projects the hunting video onto the modified projection area to drive away the animal.

[0131] It also includes the following steps:

[0132] S54: Collect image information inside the cabinet.

[0133] Cabinet interior image information refers to real-time images captured by cameras within the detection area, which include the overall structure and equipment distribution inside the cabinet.

[0134] S540: Based on the image information inside the cabinet and the preset opening features, the location of the animal entering the cabinet is known.

[0135] Opening features refer to the characteristics of a passageway within a pre-defined detection area that may allow animals to enter. These opening features are pre-defined by those skilled in the art and will not be elaborated upon here.

[0136] The animal entry point refers to the specific point at which an animal enters the detection area. This entry point can be determined by scanning and marking the opening features in the images inside the enclosure.

[0137] S541: The direction of driving away is known based on the current location of the animal and the location where the animal enters the cabinet.

[0138] The direction of driving the animal refers to the path from its current location to the location where it will be placed in the enclosure. The driving direction can be determined by comparing the spatial relationship between the animal's current location and its location in the enclosure.

[0139] S542: In response to the animal's current position, the driving direction, and the preset cabinet layout, generate an odor simulation device number.

[0140] The odor simulation device number refers to the number of the preset odor release device within the detection area. This number is obtained through [method / method name - likely a typo].

[0141] The odor simulation device number is obtained by matching with a preset odor layout database. This database stores the numbers of all odor simulation devices in the detection area and their corresponding installation locations, and associates them with the spatial coordinate information of the cabinet layout. After determining the animal's current location and driving direction, the system filters out the odor simulation devices located along the driving path (i.e., the area the animal will pass through when moving from its current location to the cabinet location) and close to the animal's current location from the database, and extracts their numbers as the required odor simulation device number.

[0142] Odor simulation equipment refers to devices installed within a detection area that release specific simulated odors corresponding to information about natural enemies.

[0143] S543: Based on the information about the natural enemy, a specific simulated odor is derived.

[0144] Specific simulated odors refer to odors that can trigger a fear response in invasive animals. Specific simulated odors can be obtained by matching them against a pre-set database of predator odor characteristics. This database stores odor component information corresponding to different predators, which is pre-entered by those skilled in the art based on the physiological characteristics of the predators and their deterrent principles against invasive animals. Once the predator information is known, the corresponding odor components are retrieved and matched from this database to determine the specific simulated odor.

[0145] S544: While controlling the projection device to project the hunting video, and controlling the sound simulation device to simulate the calls of the same kind being hunted and the calls of the predator at the time of the call, the odor simulation device corresponding to the odor simulation device number is controlled to release the odor with the specific simulated odor.

[0146] While controlling the projection device to project hunting videos and controlling the sound simulation device to simulate the calls of prey and predators at the same time points, it is also necessary to control the odor simulation device corresponding to the odor simulation device number to release the specific simulated odor to ensure that the invading animal exits the switch cabinet via the original route.

[0147] It also includes the following steps:

[0148] S60: Collect images of animals being driven away.

[0149] Animal herding images refer to real-time images captured by cameras within the detection area after a herding operation has been performed. Animal herding images are used to determine whether the animal has been successfully herded.

[0150] S61: Determine whether the animal driving image contains animal features.

[0151] By judging whether the animal features are present in the animal driving image, it can be determined whether the animal has been successfully driven away.

[0152] S62: When the animal features are included in the animal driving image, report an animal intrusion alert.

[0153] Animal intrusion alert refers to an alarm signal sent by the system to a pre-set power grid maintenance terminal when animal characteristics are still present in an image of an animal being driven away, thus prompting further action to be taken. The power grid maintenance terminal is pre-configured by those skilled in the art and will not be described in detail here.

[0154] Further handling measures will be taken by the maintenance personnel based on the actual situation on site, and will not be elaborated here.

[0155] S620: In response to the animal intrusion alert, control the activation of a preset component protection partition to protect the components.

[0156] Component protective barriers refer to automatically activated isolation devices installed within the testing area.

[0157] When an animal intrusion alert is received, the protective partition of the control components needs to be activated to prevent the equipment from being damaged or short-circuited.

[0158] S63: When the animal driving image does not contain the animal features, the cabinet detection is performed using a preset driving detection method.

[0159] The driving detection method refers to the method by which the system performs subsequent checks on the detection area when there are no animal features in the animal driving image. The specific driving detection method will be described in detail in S630 to S6330, and will not be repeated here.

[0160] Reference Figure 2 The method for detecting and driving away animals includes the following steps:

[0161] S630: Generate a ventilation angle based on the animal's current position and the preset ventilation device position.

[0162] The location of the ventilation and air blowing device refers to the position where the ventilation and air blowing device is installed within the testing area. The ventilation and air blowing device is a device used to ventilate and blow air into the testing area.

[0163] The ventilation angle refers to the angle at which the ventilation device blows air onto the animal's current position. It is calculated by determining the spatial angle between the animal's current position and the installation location of the ventilation device. The specific calculation method is common knowledge in this field and will not be elaborated upon here.

[0164] S631: Determine whether the animal driving away image contains preset animal residue features.

[0165] Animal residue features refer to the trace features left by animals after they have moved within the detection area that can be identified by images (such as feces, urine stains, hair accumulation areas, etc.). Animal residue features are set in advance by those skilled in the art and will not be elaborated here.

[0166] By determining whether animal-driving images contain animal residue features, we can ascertain whether there are traces left by animal activity in the detection area.

[0167] S632: If not included, the preset ventilation blowing device is directly activated to perform ventilation blowing at the specified ventilation blowing angle.

[0168] If the animal driving image does not contain any animal residue, it indicates that the animal did not leave any obvious residue, and ventilation can be directly performed using a ventilation blowing device at the desired angle.

[0169] S633: If included, identify the types of animal residue features from the animal driving away images to know the types of residue features.

[0170] The types of animal residue characteristics refer to the specific categories of animal residue characteristics, mainly including solid residues (such as feces, hairballs, etc.) and liquid residues (such as urine, secretions, etc.). Image recognition technology is used to analyze the residue characteristics in animal herding images, and then, based on a pre-defined feature classification model (such as color, texture, morphology, and other feature parameters), the types of residue characteristics are determined. The feature classification model is constructed in advance by those skilled in the art based on the physical properties of common animal residue characteristics (such as the granular shape of solid residues, with colors mostly dark brown or black; and the diffuse texture of liquid residues, with colors mostly pale yellow or colorless and transparent).

[0171] If the animal driving image contains animal residue features, it means that there are still animal remnants in the detection area. The type of residue features needs to be identified first for subsequent steps.

[0172] S6330: Residue removal method is generated in response to the type of residual feature, and the animal residual feature is removed based on the residue removal method.

[0173] Residue removal methods refer to methods used to remove residual characteristics from animals. Specific residue removal methods are described in detail in subsequent sections S63300 to S63311, and will not be repeated here.

[0174] The types of residue characteristics include solid residues and liquid residues, and the residue removal method includes the following steps:

[0175] S63300: When the type of residual feature is solid residue, the location of the solid residue is obtained by identifying the location of the animal residue feature from the animal driving image.

[0176] The location of solid residue refers to the specific position of solid residue within the detection area. The location of solid residue is determined by locating the solid residue marker using an image recognition algorithm. Image recognition algorithms are common knowledge in this field and will not be elaborated upon here.

[0177] When the type of residue is solid residue, the location of the solid residue must be identified first for subsequent steps.

[0178] S63301: Combine the location of the solid residue with the preset solid residue collection location at the blowing angle.

[0179] The solid residue collection location refers to the location within the detection area used to collect solid residues. The solid residue collection location is predetermined by those skilled in the art and will not be elaborated here.

[0180] The blowing angle refers to the angle at which the blowing device blows solid residue from its location to its collection location. This angle is determined by calculating the spatial vector direction between the solid residue location and the collection location. The method for calculating this spatial vector direction is common knowledge in the field and will not be elaborated upon here.

[0181] A blower is a device used to blow solid residues into a solid residue collection location.

[0182] S63302: Control the preset blowing device to blow air at the blowing angle, thereby blowing the solid residue to the solid residue collection location.

[0183] The blowing device is controlled to blow air at a blowing angle, thereby blowing the solid residue to the solid residue collection location, so that the solid residue can be collected and processed.

[0184] S6331: When the type of residual feature is liquid residue, determine from the animal driving image whether the animal residual feature is located in a preset cooling zone.

[0185] The cooling zone refers to the area used to house the cooling liquid, and the cooling zone maintains a safe distance from the components. The cooling liquid refers to a heat transfer medium with a high specific heat capacity stored in the cooling zone. The specific cooling liquid used is predetermined by those skilled in the art and will not be elaborated here.

[0186] The cooling zone and the safe distance between the cooling zone and the components are predetermined by those skilled in the art and will not be elaborated here.

[0187] By analyzing images of animals being driven away, we can determine whether animal residue features are located in cooling zones and thus determine the appropriate cleanup strategy for liquid residue.

[0188] S63310: If located, control the preset cooling replacement device to drag the preset cooling insulation cotton in the cooling area into the preset solid residue collection position, and replace it with a new cooling insulation cotton.

[0189] The cooling replacement device refers to a device used to automatically move and replace the cooling insulation cotton.

[0190] Cooling insulation cotton refers to a special cotton material with strong water absorption and insulation properties. Cooling insulation cotton is used to absorb liquid residue and isolate cooling liquid from components to prevent short circuits caused by liquid leakage.

[0191] If the animal residue characteristics are located in the cooling zone, the cooling replacement device needs to be controlled to drag the cooling insulation cotton in the cooling zone into the solid residue collection location for centralized processing, and new cooling insulation cotton needs to be replaced at the same time.

[0192] S63311: If not located, control the preset cooling replacement device to cover the animal residue feature with preset cooling insulation cotton and report a liquid residue absorption prompt.

[0193] If the animal residue is not located in the cooling zone, the cooling replacement device should be controlled to cover the animal residue with a new piece of cooling insulation cotton, and a liquid residue absorption alert should be reported.

[0194] Reference Figure 3 The cabinet heat dissipation method includes the following steps:

[0195] S70: Collects the temperature value inside the cabinet.

[0196] The temperature inside the cabinet refers to the ambient temperature data within the detection area that is collected in real time by a temperature sensor.

[0197] S71: When the temperature inside the cabinet exceeds a preset high temperature threshold, the temperature exceeding the threshold is known based on the temperature inside the cabinet and the high temperature threshold.

[0198] The high-temperature threshold is a critical value used to determine whether the temperature inside the cabinet exceeds the limit. The high-temperature threshold is set in advance by those skilled in the art and will not be elaborated here.

[0199] The temperature exceeding the limit refers to the temperature inside the cabinet that exceeds the high-temperature threshold. The temperature exceeding the limit is calculated by subtracting the temperature inside the cabinet from the high-temperature threshold.

[0200] S72: In response to the temperature exceeding the value, generate heat dissipation power.

[0201] Heat dissipation power refers to the power of a heat dissipation device when dissipating heat. The heat dissipation power can be obtained by looking up a preset power-temperature difference lookup table. This table stores different heat dissipation powers corresponding to different temperature exceedance values. The power-temperature difference lookup table is formed by those skilled in the art by recording the different heat dissipation powers corresponding to different temperature exceedance values ​​in sequence, which will not be described in detail here.

[0202] The higher the temperature exceeds the limit, the greater the heat dissipation power, thus quickly reducing the temperature inside the cabinet to a safe range; conversely, the power is reduced to save energy, achieving efficient and economical heat dissipation control.

[0203] S73: Control the preset cooling replacement device to pull the preset cooling insulation cotton out of the preset cooling area so that the preset cooling liquid in the cooling area can absorb heat.

[0204] The cooling replacement device controls the cooling insulation cotton to be pulled out of the cooling area, so that the cooling liquid in the cooling area can absorb heat from the detection area.

[0205] S74: Control the preset heat dissipation device to discharge the heat absorbed by the cooling liquid to the outside of the cabinet with the heat dissipation power, thereby completing the heat dissipation inside the cabinet.

[0206] A heat dissipation device is a device used to expel the heat absorbed by the cooling liquid outside the cabinet. The heat dissipation device is controlled to operate at its heat dissipation power to expel the heat absorbed by the cooling liquid outside the cabinet, thereby completing the heat dissipation inside the cabinet.

[0207] Based on the same inventive concept, embodiments of the present invention provide a power grid operation and maintenance management system, including:

[0208] The data acquisition module is used to acquire internal image information, animal image information, cabinet interior image information, animal chasing images, and cabinet interior temperature values;

[0209] A memory used to store a program that implements a power grid operation and maintenance management method;

[0210] The processor is used to load and execute programs stored in memory.

[0211] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional modules is used as an example. In practical applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. The specific working process of the system, device, and unit described above can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0212] The above description is merely a preferred embodiment of the present invention. The scope of protection of the present invention is not limited to the above embodiments. All technical solutions falling within the scope of the present invention's concept are within the scope of protection of the present invention. It should be noted that for those skilled in the art, any improvements and modifications made without departing from the principles of the present invention should also be considered within the scope of protection of the present invention.

Claims

1. A power grid operation and maintenance management method, characterized in that, include: Acquire internal image information of the preset detection area; If the internal image information contains preset animal features, the animal features are identified from the internal image information to determine the species of the invasive animal; In response to the invasive animal species, generate predator information and hunting calls of the same species; Based on the predator information, predator hunting calls are generated; The preset sound simulation device is controlled to simulate the hunting calls of the same kind and the hunting calls of the natural enemy in order to drive away invading animals; Also includes: Hunting videos were matched based on the invasive animal species and the information on their natural enemies; Responding to the hunting video to obtain hunting segment information; The timing of the call is determined based on the hunting segment information; The preset projection device is controlled to project the hunting video, and the sound simulation device is controlled to simulate the calls of the hunted creature and the calls of the predator at the time of the calls. Also includes: Acquire image information inside the cabinet; The location of the animal entering the cabinet is determined based on the image information inside the cabinet and the preset opening features. The direction of herding can be determined based on the animal's current location and the location where the animal entered the cabinet; The odor simulation device number is generated in response to the animal's current position, the direction of the drive, and the preset cabinet layout. Based on the aforementioned predator information, a specific simulated odor is derived; While controlling the projection device to project the hunting video, and controlling the sound simulation device to simulate the calls of the same kind being hunted and the calls of the predator at the time of the call, the odor simulation device corresponding to the odor simulation device number is controlled to release the odor with the specific simulated odor. It also includes the method for projecting the hunting video: Collect animal image information; The animal's current location is determined by combining the animal image information, the animal's characteristics, and the preset cabinet layout. The animal's gaze direction is determined by eye-tracking from the animal image information; The optimal projection area is generated based on the animal's observation direction and its current position. When no components are installed in the optimal projection area, the projection device is controlled to project the hunting video onto the optimal projection area; The method for projecting the hunting video also includes: When components are installed in the optimal projection area, an empty area inside the cabinet is selected based on the image information inside the cabinet and the preset characteristics of the components. The modified projection area is determined in response to the empty area inside the cabinet and the animal's observation direction. The initial position of the guide ray is generated based on the animal's observation direction; The guide ray movement parameters are generated by combining the initial position of the guide ray and the modified projection area; The preset laser beam device is controlled to direct the guide beam from its initial position to the animal's current position, and then the line of sight is guided by the guide beam's movement parameters. After the line of sight is guided, the projection device is controlled to project the hunting video onto the modified projection area.

2. The power grid operation and maintenance management method according to claim 1, characterized in that, Also includes: Collect images of animals being driven away; Determine whether the animal chasing image contains animal features; When the animal's features are present in the animal chasing image, an animal intrusion alert should be reported. In response to the animal intrusion alert, a preset component protection partition is activated to protect the components. When the animal driving image does not contain the animal's features, the cabinet is detected using a preset driving detection method.

3. The power grid operation and maintenance management method according to claim 2, characterized in that, The method for detecting the expulsion includes: The ventilation angle is generated based on the animal's current position and the preset position of the ventilation device; Determine whether the animal driving away image contains preset animal residue features; If not included, the preset ventilation and blowing device will be activated directly to ventilate and blow air at the specified ventilation and blowing angle; If included, the types of animal residue features are identified from the animal driving-away images to determine the types of residue features; A residue removal method is generated in response to the type of residue feature, and the animal residue feature is removed based on the residue removal method.

4. The power grid operation and maintenance management method according to claim 3, characterized in that, The types of residue characteristics include solid residues and liquid residues, and the residue removal methods include: When the type of residual feature is solid residue, the location of the solid residue is obtained by identifying the location of the animal residual feature from the animal driving image; The blowing angle is determined by combining the location of the solid residue with the preset solid residue collection location; The preset blowing device is controlled to blow air at the blowing angle, thereby blowing the solid residue to the solid residue collection location; When the type of residual feature is liquid residue, determine from the animal driving away image whether the animal residual feature is located in a preset cooling zone; If located, the preset cooling replacement device will be controlled to drag the preset cooling insulation cotton in the cooling area into the preset solid residue collection position and replace it with a new cooling insulation cotton. If not located, the preset cooling replacement device will cover the animal residue feature with preset cooling insulation cotton and report a liquid residue absorption prompt.

5. A power grid operation and maintenance management method according to claim 4, characterized in that, It also includes methods for heat dissipation inside the cabinet: Collect the temperature value inside the cabinet; When the temperature inside the cabinet exceeds a preset high temperature threshold, the system knows that the temperature has exceeded the threshold based on the temperature inside the cabinet and the high temperature threshold. In response to the temperature exceeding the value, heat dissipation power is generated; The preset cooling replacement device is controlled to pull the preset cooling insulation cotton out of the preset cooling area, so that the preset cooling liquid in the cooling area can absorb heat. The preset heat dissipation device is controlled to discharge the heat absorbed by the cooling liquid to the outside of the cabinet with the heat dissipation power, thereby completing the heat dissipation inside the cabinet.

6. A power grid operation and maintenance management system, characterized in that, include: The acquisition module is used to acquire internal image information; A memory for storing a program that implements a power grid operation and maintenance management method as described in any one of claims 1 to 5; The processor is used to load and execute programs stored in memory.

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