Intelligent protection method and device for meteorological station, medium and computing equipment

Abstract

The embodiment of the invention provides an intelligent protection method and device for a meteorological station, a medium and computing equipment. The method comprises the steps of determining a current position of a target heat source; collecting a target image of a target heat source at the current position; performing human feature recognition on the target image; if the human feature recognition result shows that the target image contains the human features, determining that the target heat source is the heat source of the target human, and outputting alarm information to the target human; and if the human feature recognition result shows that the target image does not contain the human features, determining that the target heat source is the heat source of the target animal, so that the ultrasonic transmitter directionally expels the target animal. According to the method, abnormal invasion can be accurately identified through an image identification technology, the stability and safety of meteorological data of a meteorological station are improved, the accuracy of meteorological forecast is further improved, important guarantee is provided for meteorological drought monitoring and scientific implementation of artificial influence weather operation, and public safety and disaster prevention and reduction efficiency are guaranteed.

Description

Technical Field

[0001] The embodiments of the present invention relate to the field of image processing technology, and more specifically, the embodiments of the present invention relate to an intelligent protection method, device, medium and computing device for a weather station. Background Technology

[0002] Regional automatic weather stations are an important component of the meteorological monitoring network, undertaking the task of collecting key meteorological data such as temperature, humidity, wind speed, and rainfall in real time. Their stable operation and the accuracy of the monitoring data have an extremely important impact on weather forecasting, early warning, and services.

[0003] However, since meteorological stations are mostly deployed in remote mountainous areas, forests and other outdoor environments, they are constantly exposed to damage from animals and humans, as well as interference from changes in the natural environment. This leads to equipment failures at meteorological stations, affecting the continuity of data collection, resulting in deviations in meteorological monitoring data and inaccurate weather forecasts. This affects the timeliness of disaster warnings and the effectiveness of artificial weather modification, which in turn affects public safety and disaster prevention and mitigation capabilities. Summary of the Invention

[0004] In this context, embodiments of the present invention aim to provide an intelligent protection method, device, medium, and computing equipment for weather stations, which accurately identifies abnormal intrusions through image recognition technology, performs targeted removal, thereby ensuring the stable operation of weather station equipment, improving the accuracy of weather forecasts and the scientific nature of weather modification, and ultimately ensuring public safety and disaster prevention and mitigation effectiveness.

[0005] In a first aspect of the present invention, a smart protection method for a weather station is provided, comprising:

[0006] When a pre-deployed thermal imager detects a target heat source, the current location of the target heat source is determined;

[0007] A target image of the target heat source located at the current position is acquired using pre-deployed image acquisition equipment;

[0008] Human feature recognition is performed on the target image to obtain the human feature recognition result;

[0009] If the human feature recognition result indicates that the target image contains human features, then the target heat source is determined to be the heat source of the target human, and an alarm message is output to the target human.

[0010] If the human feature recognition result indicates that the target image does not contain human features, then the target heat source is determined to be the heat source of the target animal, and an ultrasonic transmitter is activated for the target animal to drive the target animal away in a directional manner.

[0011] In one embodiment of this implementation, an automatic weather station mast is installed inside the weather station, and the thermal imager and the ultrasonic transmitter are pre-deployed on the top of the automatic weather station mast.

[0012] In one embodiment of this implementation, outputting alarm information to the target human specifically includes:

[0013] Perform facial feature recognition on the target image to obtain the current facial features;

[0014] Obtain standard facial features of weather station staff;

[0015] The current facial features are matched with the standard facial features to obtain the facial feature matching result;

[0016] If the facial feature matching result indicates that the current facial feature successfully matches the standard facial feature, then the target human is determined to be a staff member of the weather station, and maintenance information is uploaded to the weather station's server; wherein, the maintenance information includes the maintenance start time, maintenance end time, and maintenance image data of the staff member performing maintenance on the weather station.

[0017] In one embodiment of this implementation, the method further includes:

[0018] If the facial feature matching result indicates that the current facial feature does not match the standard facial feature, an alarm message is output to the target human, and an alarm command is sent to the terminal device of the weather station staff; wherein, the alarm message is an alarm sound emitted by a pre-deployed buzzer, and the alarm command is used to control the staff's terminal device to activate the sound alarm operation so that the staff can handle the target human;

[0019] The image acquisition device acquires image data containing the target human.

[0020] The image data is uploaded to the weather station's server.

[0021] In one embodiment of this implementation, activating the ultrasonic transmitter for the target animal to directionally repel the target animal specifically includes:

[0022] Collect the current body temperature of the target animal;

[0023] Species feature recognition is performed on the target image to obtain the current species features;

[0024] Based on the current body temperature and the current species characteristics, determine the current species of the target animal;

[0025] Obtain the optimal removal frequency that matches the current species;

[0026] The ultrasonic transmitter is activated at the optimal repulsion frequency for the target animal, so that the ultrasonic transmitter can directionally repel the target animal.

[0027] In one embodiment of this implementation, activating the ultrasonic transmitter at the optimal repulsion frequency for the target animal, so that the ultrasonic transmitter can directionally repel the target animal, specifically includes:

[0028] The rotation angle of the ultrasonic transmitter is calculated based on the current position of the target animal and the ultrasonic emission direction of the ultrasonic transmitter.

[0029] The ultrasonic transmitter is controlled to rotate based on the rotation angle.

[0030] When the ultrasonic transmitter stops rotating, the ultrasonic transmitter is controlled to emit ultrasonic waves toward the target animal based on the optimal repulsion frequency, so that the ultrasonic transmitter can directionally repel the target animal.

[0031] In a second aspect of the present invention, an intelligent protection device for a weather station is provided, comprising:

[0032] A determining unit is used to determine the current location of a target heat source when a pre-deployed thermal imager detects the target heat source.

[0033] The acquisition unit is used to acquire a target image of the target heat source located at the current position using a pre-deployed image acquisition device;

[0034] The recognition unit is used to perform human feature recognition on the target image and obtain the human feature recognition result.

[0035] The output unit is configured to determine the target heat source as the heat source of the target human if the human feature recognition result indicates that the target image contains human features, and to output alarm information to the target human.

[0036] The activation unit is configured to determine that the target heat source is the heat source of the target animal if the human feature recognition result indicates that the target image does not contain human features, and to activate the ultrasonic transmitter for the target animal so that the ultrasonic transmitter can directionally drive away the target animal.

[0037] In a third aspect of the present invention, a computing device is provided, the computing device comprising: at least one processor, a memory, and an input / output unit; wherein the memory is used to store a computer program, and the processor is used to invoke the computer program stored in the memory to execute the method described in any one aspect.

[0038] In a fourth aspect of the present invention, a computer-readable storage medium is provided, comprising instructions which, when executed on a computer, cause the computer to perform the method described in any one of the first aspects.

[0039] Fifthly, this application provides a computer program product, including a computer program that, when executed by a processor, implements the method described in any one of the first aspects.

[0040] In a sixth aspect, this application provides a chip including a processor and a communication interface, the communication interface being coupled to the processor, the processor being used to run a program or instructions, and the processor implementing the method described in any one of the first aspects when executing the program or instructions.

[0041] According to embodiments of the present invention, the intelligent protection method, device, medium, and computing device for weather stations can acquire a target image containing the target heat source based on the location of the target heat source when the thermal imager detects it. Then, human feature recognition can be performed on the target image. If the target heat source is determined to be a target human, an alarm message can be output to the target human to prompt them to move away from the weather station. Furthermore, if the target heat source is determined to be a target animal, ultrasonic waves can be emitted towards the target animal via an ultrasonic transmitter to repel it. By preemptively repelling animals or humans affecting the weather station, the normal operation of the weather station can be ensured, thereby improving the stability and security of meteorological data and the accuracy of weather forecasts. Simultaneously, it provides important guarantees for meteorological drought monitoring and the scientific implementation of artificial weather modification operations, ensuring public safety and disaster prevention and mitigation effectiveness. Attached Figure Description

[0042] The above and other objects, features, and advantages of exemplary embodiments of the present invention will become readily apparent from the following detailed description taken in conjunction with the accompanying drawings. Several embodiments of the invention are illustrated in the drawings by way of example and not limitation, wherein:

[0043] Figure 1 This is a flowchart illustrating an intelligent protection method for a weather station according to an embodiment of the present invention.

[0044] Figure 2This is a schematic diagram illustrating an application scenario of an intelligent protection method for a weather station according to an embodiment of the present invention.

[0045] Figure 3 This is a schematic diagram of the structure of an intelligent protection device for a weather station according to an embodiment of the present invention;

[0046] Figure 4 A schematic diagram of the structure of a medium according to an embodiment of the present invention is shown.

[0047] Figure 5 A schematic diagram of the structure of a computing device according to an embodiment of the present invention is shown.

[0048] In the accompanying drawings, the same or corresponding reference numerals indicate the same or corresponding parts. Detailed Implementation

[0049] The principles and spirit of the invention will now be described with reference to several exemplary embodiments. It should be understood that these embodiments are given merely to enable those skilled in the art to better understand and implement the invention, and are not intended to limit the scope of the invention in any way. Rather, these embodiments are provided to make this disclosure more thorough and complete, and to fully convey the scope of this disclosure to those skilled in the art.

[0050] Those skilled in the art will recognize that embodiments of the present invention can be implemented as a system, apparatus, device, method, or computer program product. Therefore, this disclosure can be specifically implemented in the following forms: entirely hardware, entirely software (including firmware, resident software, microcode, etc.), or a combination of hardware and software.

[0051] According to embodiments of the present invention, a smart protection method, device, medium, and computing equipment for weather stations are proposed.

[0052] It should be noted that the number of any elements in the accompanying drawings is for illustrative purposes only and not as a limitation, and any naming is for distinction only and has no limiting meaning.

[0053] The principles and spirit of the present invention will be explained in detail below with reference to several representative embodiments.

[0054] Exemplary methods

[0055] The following is for reference. Figure 1 , Figure 1 This is a flowchart illustrating an intelligent protection method for weather stations according to an embodiment of the present invention. It should be noted that the embodiments of the present invention can be applied to any applicable scenario.

[0056] Figure 1The flowchart of an intelligent protection method for a weather station provided by an embodiment of the present invention, shown below, includes:

[0057] Step S101: When the pre-deployed thermal imager detects the target heat source, determine the current location of the target heat source.

[0058] In this embodiment of the application, an automatic weather station mast is installed inside the weather station, and the thermal imager and the ultrasonic transmitter are pre-deployed on the top of the automatic weather station mast.

[0059] Please refer to the following: Figure 2 , Figure 2 This is a schematic diagram illustrating an application scenario of an intelligent protection method for a weather station according to an embodiment of the present invention; wherein, Figure 2 It includes the area where the weather station is located 201, the automatic weather station mast 202, the wind turbine 203, the image acquisition equipment 204, the thermal imager 205, the ultrasonic transmitter 206, the buzzer 207, the solar panel 208, and the control box 209.

[0060] Specifically, the area 201 where the weather station is located can be an 8m×8m area, which can also be fenced with a height of 1.5m.

[0061] An automatic weather station mast 202 and a wind turbine 203 can be deployed in the area 201 where the weather station is located. The height of the automatic weather station mast 202 can be 12m, and the height of the wind turbine 203 can be 5m.

[0062] The top of the automatic weather station mast 202 can be equipped with an image acquisition device 204, a thermal imager 205, an ultrasonic transmitter 206, a buzzer 207, and a solar panel 208. The bottom of the automatic weather station mast 202 can be equipped with a control box 209, which can contain a battery, a dual power controller, and a regional automatic weather station intelligent protection system controller. The electricity generated by the solar panel 208 and the wind turbine 203 can be stored in the battery, which powers the entire system and solves the problem of insufficient single solar power supply in winter.

[0063] The thermal imager has a detection range of 360° and a resolution of 640×480.

[0064] The ultrasonic transmitter can be a phase array ultrasonic transmitter with a frequency of 20-60kHz and a sound pressure level of 120dB; a customized 16-unit phase array module with a sound pressure level of 120dB and an effective repulsion distance of 10-30 meters can be used. The transmission angle and frequency (20-60kHz) can be dynamically adjusted to differentiate the repulsion of different targets (such as rodents and wild boars).

[0065] Image acquisition equipment can be a high-definition camera that supports night vision and low-light environments;

[0066] The main control unit in control box 209 can be equipped with an edge computing module to coordinate the linkage of multiple modules.

[0067] The thermal imager and ultrasonic transmitter can be installed on the top of the wind mast of the automatic weather station in the area where the weather station is located, covering a range of 10-30 meters around it; the main control unit integrates solar and wind power supply systems, with solar panels and wind power generation installed on the wind mast of the regional automatic weather station, adapting to areas without grid coverage.

[0068] In this embodiment of the application, a Cartesian coordinate system based on the area 201 where the weather station is located can be pre-constructed. Then, the specific current location of the target heat source within the area 201 where the weather station is located can be determined based on the constructed Cartesian coordinate system. The current location can be represented by coordinates based on the Cartesian coordinate system.

[0069] Step S102: Acquire a target image of the target heat source located at the current position using a pre-deployed image acquisition device.

[0070] In this embodiment of the application, thermal imaging data of the target heat source can also be collected by an infrared sensor; wherein, the thermal imaging data may include heat source contour information, temperature gradient information, and movement trajectory characteristics, etc.

[0071] Step S103: Perform human feature recognition on the target image to obtain the human feature recognition result.

[0072] In this embodiment, a recognition model can be pre-built, and the target image and thermal imaging data can be input into the recognition model so that the recognition model outputs human feature recognition results.

[0073] As can be seen, the recognition model can identify whether the target heat source in the target image contains human features based on the input target image and thermal imaging data. If the target heat source contains human features, the presence of human features in the target image can be taken as the human feature recognition result. Conversely, the absence of human features in the target image can be taken as the human feature recognition result.

[0074] The recognition model can be an artificial intelligence model, which can be built based on a neural network. A training dataset can be built before training the recognition model.

[0075] The training dataset can contain 100,000 pre-collected thermal imaging images of outdoor scenes (50,000 images of animals and 50,000 images of humans), labeled with heat source outlines, temperature gradients, and movement trajectory features.

[0076] During model training, attention mechanisms can be introduced to enhance the detection capability of small targets (such as human facial features and rodent features), and transfer learning can be used to improve the model's generalization ability.

[0077] Step S104: If the human feature recognition result indicates that the target image contains human features, then the target heat source is determined to be the heat source of the target human, and an alarm message is output to the target human.

[0078] In this embodiment, an alarm sound can be emitted via a buzzer to alert the target human to leave. The target human can be identified as an intruder illegally entering the area where the weather station is located, and therefore the intruder can be driven away.

[0079] In addition, intelligent video surveillance and communication optimization technology can be used. Through the automatic detection mode designed in the video surveillance module, when a target human intrusion is detected, the camera is activated to record surveillance video containing the target human until the target human stops intruding; and the recorded surveillance video can be uploaded.

[0080] Alternatively, manual mode can be enabled: weather station staff can activate remote monitoring and automatically deactivate it after 5 minutes. This process can be triggered once or periodically.

[0081] The acquired surveillance videos can be stored locally for management, storing up to 72 hours of surveillance video, and supporting resume transmission after network outages and keyframe extraction.

[0082] Traditional video surveillance suffers from severe resource waste. Most existing video surveillance systems operate continuously, consuming over 20GB of data per day. In scenarios with limited communication bandwidth in the field, the high cost of data traffic and inefficient resource utilization become bottlenecks.

[0083] This application adopts a flow control method, which does not upload monitoring videos when in standby mode, and starts bandwidth transmission when an event is triggered. The average daily traffic is less than 100MB, which optimizes communication resources and reduces operation and maintenance costs.

[0084] As an optional implementation, step S104 may involve outputting alarm information to the target human in the following ways:

[0085] Perform facial feature recognition on the target image to obtain the current facial features;

[0086] Obtain standard facial features of weather station staff;

[0087] The current facial features are matched with the standard facial features to obtain the facial feature matching result;

[0088] If the facial feature matching result indicates that the current facial feature successfully matches the standard facial feature, then the target human is determined to be a staff member of the weather station, and maintenance information is uploaded to the weather station's server; wherein, the maintenance information includes the maintenance start time, maintenance end time, and maintenance image data of the staff member performing maintenance on the weather station.

[0089] If the facial feature matching result indicates that the current facial feature does not match the standard facial feature, an alarm message is output to the target human, and an alarm command is sent to the terminal device of the weather station staff; wherein, the alarm message is an alarm sound emitted by a pre-deployed buzzer, and the alarm command is used to control the staff's terminal device to activate the sound alarm operation so that the staff can handle the target human;

[0090] The image acquisition device acquires image data containing the target human.

[0091] The image data is uploaded to the weather station's server.

[0092] This implementation method, by integrating facial recognition technology, enables accurate identity verification and intelligent risk control for visitors to weather stations. When the system automatically compares the current face with a preset staff feature database, it can quickly confirm the legitimate identity through high-precision matching to ensure normal operating procedures. It can also trigger a multi-level alarm mechanism in real time when abnormal personnel are identified, and simultaneously complete the cloud storage of image evidence, forming a complete security closed loop from real-time early warning to data traceability, which significantly improves the physical security protection level and intelligent management level of meteorological facilities.

[0093] Step S105: If the human feature recognition result indicates that the target image does not contain human features, then the target heat source is determined to be the heat source of the target animal, and the ultrasonic transmitter is activated for the target animal so that the ultrasonic transmitter can directionally drive away the target animal.

[0094] As an optional implementation, step S105, which involves activating an ultrasonic transmitter for the target animal to direct the ultrasonic transmitter away from the target animal, may include:

[0095] Collect the current body temperature of the target animal;

[0096] Species feature recognition is performed on the target image to obtain the current species features;

[0097] Based on the current body temperature and the current species characteristics, determine the current species of the target animal;

[0098] Obtain the optimal removal frequency that matches the current species;

[0099] The ultrasonic transmitter is activated at the optimal repulsion frequency for the target animal, so that the ultrasonic transmitter can directionally repel the target animal.

[0100] This implementation method, by integrating multi-dimensional biometric recognition technology, constructs a precise and efficient animal repelling mechanism: the system first uses body temperature data and image features for cross-verification to achieve intelligent species identification, and then dynamically matches the optimal repelling frequency based on the physiological characteristics of the target animal, enabling the ultrasonic transmitter to output customized sound wave signals for different species. This avoids the ineffective interference of traditional single-frequency repelling methods on non-target organisms, and significantly improves repelling efficiency and eco-friendliness. While ensuring the safety of the facility, it minimizes the negative impact on the surrounding animal community, achieving a dual optimization of security needs and ecological protection.

[0101] In this embodiment of the application, the current species of the target animal can also be identified through the recognition model.

[0102] The optimal repelling frequency for the current species can be obtained from a pre-constructed optimal repelling frequency table, which can be pre-tested in the wild for various species. For example, the optimal repelling frequency for rodents may be 20 kHz, and for wild boars, it may be 40 kHz. The ultrasonic transmitter adjusts its emission direction based on the target animal's location data, continuously repelling the animal until it leaves the monitoring range.

[0103] In addition, image data containing the target animal can be acquired using image acquisition equipment, and the image data can be uploaded to the weather station's server.

[0104] As an optional implementation, activating the ultrasonic transmitter at the optimal repulsion frequency for the target animal, so that the ultrasonic transmitter can directionally repel the target animal, may include:

[0105] The rotation angle of the ultrasonic transmitter is calculated based on the current position of the target animal and the ultrasonic emission direction of the ultrasonic transmitter.

[0106] The ultrasonic transmitter is controlled to rotate based on the rotation angle.

[0107] When the ultrasonic transmitter stops rotating, the ultrasonic transmitter is controlled to emit ultrasonic waves toward the target animal based on the optimal repulsion frequency, so that the ultrasonic transmitter can directionally repel the target animal.

[0108] This implementation method significantly improves the accuracy and effectiveness of animal repelling through dynamic positioning and intelligent directional control technology. Based on the real-time position of the target animal and the transmitter angle parameters, the system can automatically adjust the ultrasonic wave emission direction to form a precise sound beam, ensuring that the repelling signal only acts on the target area. This avoids the energy waste and false repelling problems caused by sound wave diffusion in traditional fixed equipment. Furthermore, the directional projection enhances the sound pressure level received by the target animal, thereby achieving efficient repelling in a shorter time. At the same time, it reduces interference with non-target organisms and the surrounding environment, demonstrating the significant advantages of intelligent and refined control in security systems.

[0109] In addition, ground images of the area where the weather station is located can be acquired through image acquisition equipment, and sensor devices in the ground images can be identified to obtain the current area of ​​the sensor; the initial area of ​​the sensor can be obtained; and the ratio of the current area of ​​the sensor to the initial area of ​​the sensor can be calculated. If the ratio is greater than or equal to a preset threshold, the sensor is considered to be in normal condition. If the ratio is less than the preset threshold, it can be considered that the weeds in the area where the weather station is located are growing too vigorously and need to be trimmed. Therefore, a weed trimming prompt message can be sent to the server. This weed trimming prompt message can remind the weather station staff to repair the weeds in the area where the weather station is located in a timely manner to ensure the normal operation of the sensors in the weather station.

[0110] In this embodiment of the invention, after using the intelligent protection method for weather stations provided in this application, the automatic maintenance information (such as the number of maintenances, maintenance time, invasive species information, and monitoring videos containing invasive species) in the area where the weather station is located can be automatically collected at preset intervals (such as half a year, one year, etc.). Based on the collected automatic maintenance information, the sensitivity of the sensors in the area where the weather station is located can be analyzed.

[0111] When environmental changes within the area where the weather station is located are detected to exceed a certain level (such as when the height of weeds exceeds the height of the rain gauge), an alarm signal is transmitted to the client to remind staff to perform timely maintenance (such as trimming weeds) and ensure the accuracy of the monitoring data from the automatic weather station in the area.

[0112] This invention ensures the normal operation of meteorological stations, thereby improving the stability and security of meteorological data and enhancing the accuracy of weather forecasts. It also provides crucial support for meteorological drought monitoring and the scientific implementation of weather modification operations, guaranteeing public safety and disaster prevention and mitigation effectiveness. Furthermore, this invention improves the physical security level and intelligent management of meteorological facilities. Moreover, it avoids the ineffective interference with non-target organisms caused by traditional single-frequency repelling methods, significantly improving repelling efficiency and eco-friendliness. While ensuring facility safety, it minimizes negative impacts on surrounding animal communities, achieving a dual optimization of security needs and ecological protection. Finally, this invention demonstrates the significant advantages of intelligent and refined control in security systems.

[0113] Exemplary device

[0114] After introducing the method of exemplary embodiments of the present invention, the following references are made. Figure 3 An exemplary embodiment of the present invention will be described, comprising:

[0115] The determining unit 301 is used to determine the current location of the target heat source when the pre-deployed thermal imager detects the target heat source; an automatic weather station wind mast is installed in the weather station, and the thermal imager and the ultrasonic transmitter are pre-deployed on the top of the automatic weather station wind mast.

[0116] Acquisition unit 302 is used to acquire a target image of the target heat source located at the current position through a pre-deployed image acquisition device;

[0117] The recognition unit 303 is used to perform human feature recognition on the target image and obtain human feature recognition results;

[0118] The output unit 304 is configured to determine the target heat source as the heat source of the target human if the human feature recognition result indicates that the target image contains human features, and to output alarm information to the target human.

[0119] The activation unit 305 is configured to determine that the target heat source is the heat source of the target animal if the human feature recognition result indicates that the target image does not contain human features, and to activate the ultrasonic transmitter for the target animal so that the ultrasonic transmitter can directionally drive away the target animal.

[0120] As an optional implementation, the output unit 304 may output alarm information to the target human in the following specific ways:

[0121] Perform facial feature recognition on the target image to obtain the current facial features;

[0122] Obtain standard facial features of weather station staff;

[0123] The current facial features are matched with the standard facial features to obtain the facial feature matching result;

[0124] If the facial feature matching result indicates that the current facial feature successfully matches the standard facial feature, then the target human is determined to be a staff member of the weather station, and maintenance information is uploaded to the weather station's server; wherein, the maintenance information includes the maintenance start time, maintenance end time, and maintenance image data of the staff member performing maintenance on the weather station.

[0125] If the facial feature matching result indicates that the current facial feature does not match the standard facial feature, an alarm message is output to the target human, and an alarm command is sent to the terminal device of the weather station staff; wherein, the alarm message is an alarm sound emitted by a pre-deployed buzzer, and the alarm command is used to control the staff's terminal device to activate the sound alarm operation so that the staff can handle the target human;

[0126] The image acquisition device acquires image data containing the target human.

[0127] The image data is uploaded to the weather station's server.

[0128] This implementation method, by integrating facial recognition technology, enables accurate identity verification and intelligent risk control for visitors to weather stations. When the system automatically compares the current face with a preset staff feature database, it can quickly confirm the legitimate identity through high-precision matching to ensure normal operating procedures. It can also trigger a multi-level alarm mechanism in real time when abnormal personnel are identified, and simultaneously complete the cloud storage of image evidence, forming a complete security closed loop from real-time early warning to data traceability, which significantly improves the physical security protection level and intelligent management level of meteorological facilities.

[0129] As an optional implementation, the activation unit 305 activates the ultrasonic transmitter for the target animal, and the ultrasonic transmitter can be used to directionally drive away the target animal in the following ways:

[0130] Collect the current body temperature of the target animal;

[0131] Species feature recognition is performed on the target image to obtain the current species features;

[0132] Based on the current body temperature and the current species characteristics, determine the current species of the target animal;

[0133] Obtain the optimal removal frequency that matches the current species;

[0134] The ultrasonic transmitter is activated at the optimal repulsion frequency for the target animal, so that the ultrasonic transmitter can directionally repel the target animal.

[0135] This implementation method, by integrating multi-dimensional biometric recognition technology, constructs a precise and efficient animal repelling mechanism: the system first uses body temperature data and image features for cross-verification to achieve intelligent species identification, and then dynamically matches the optimal repelling frequency based on the physiological characteristics of the target animal, enabling the ultrasonic transmitter to output customized sound wave signals for different species. This avoids the ineffective interference of traditional single-frequency repelling methods on non-target organisms, and significantly improves repelling efficiency and eco-friendliness. While ensuring the safety of the facility, it minimizes the negative impact on the surrounding animal community, achieving a dual optimization of security needs and ecological protection.

[0136] As an optional implementation, the activation unit 305 activates the ultrasonic transmitter for the target animal at the optimal repulsion frequency, so that the ultrasonic transmitter can directionally repel the target animal in the following ways:

[0137] The rotation angle of the ultrasonic transmitter is calculated based on the current position of the target animal and the ultrasonic emission direction of the ultrasonic transmitter.

[0138] The ultrasonic transmitter is controlled to rotate based on the rotation angle.

[0139] When the ultrasonic transmitter stops rotating, the ultrasonic transmitter is controlled to emit ultrasonic waves toward the target animal based on the optimal repulsion frequency, so that the ultrasonic transmitter can directionally repel the target animal.

[0140] This implementation method significantly improves the accuracy and effectiveness of animal repelling through dynamic positioning and intelligent directional control technology. Based on the real-time position of the target animal and the transmitter angle parameters, the system can automatically adjust the ultrasonic wave emission direction to form a precise sound beam, ensuring that the repelling signal only acts on the target area. This avoids the energy waste and false repelling problems caused by sound wave diffusion in traditional fixed equipment. Furthermore, the directional projection enhances the sound pressure level received by the target animal, thereby achieving efficient repelling in a shorter time. At the same time, it reduces interference with non-target organisms and the surrounding environment, demonstrating the significant advantages of intelligent and refined control in security systems.

[0141] This invention ensures the normal operation of meteorological stations, thereby improving the stability and security of meteorological data and enhancing the accuracy of weather forecasts. It also provides crucial support for meteorological drought monitoring and the scientific implementation of weather modification operations, guaranteeing public safety and disaster prevention and mitigation effectiveness. Furthermore, this invention improves the physical security level and intelligent management of meteorological facilities. Moreover, it avoids the ineffective interference with non-target organisms caused by traditional single-frequency repelling methods, significantly improving repelling efficiency and eco-friendliness. While ensuring facility safety, it minimizes negative impacts on surrounding animal communities, achieving a dual optimization of security needs and ecological protection. Finally, this invention demonstrates the significant advantages of intelligent and refined control in security systems.

[0142] Exemplary media

[0143] After introducing the methods and apparatus of exemplary embodiments of the present invention, the following references are made. Figure 4 A computer-readable storage medium according to exemplary embodiments of the present invention will be described, please refer to... Figure 4 The computer-readable storage medium shown is an optical disc 40, on which a computer program (i.e., a program product) is stored. When the computer program is run by a processor, it implements the steps described in the above method implementation. For example, when a pre-deployed thermal imager detects a target heat source, it determines the current location of the target heat source; it acquires a target image of the target heat source at the current location using a pre-deployed image acquisition device; it performs human feature recognition on the target image to obtain a human feature recognition result; if the human feature recognition result indicates that the target image contains human features, it determines that the target heat source is the heat source of the target human and outputs an alarm message to the target human; if the human feature recognition result indicates that the target image does not contain human features, it determines that the target heat source is the heat source of the target animal and activates an ultrasonic transmitter for the target animal to drive the target animal away in a directional manner. The specific implementation of each step will not be repeated here.

[0144] It should be noted that examples of the computer-readable storage medium may also include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other optical and magnetic storage media, which will not be elaborated here.

[0145] Exemplary computing device

[0146] After introducing the methods, apparatus, and media of exemplary embodiments of the present invention, the following references are made. Figure 5A computing device for intelligent protection of a weather station according to an exemplary embodiment of the present invention.

[0147] Figure 5 A block diagram is shown of an exemplary computing device 50 suitable for implementing embodiments of the present invention, which may be a computer system or a server. Figure 5 The computing device 50 shown is merely an example and should not impose any limitation on the functionality and scope of use of the embodiments of the present invention.

[0148] like Figure 5 As shown, the components of computing device 50 may include, but are not limited to: one or more processors or processing units 501, system memory 502, and bus 503 connecting different system components (including system memory 502 and processing unit 501).

[0149] The computing device 50 typically includes a variety of computer system readable media. These media can be any available media that can be accessed by the computing device 50, including volatile and non-volatile media, removable and non-removable media.

[0150] System memory 502 may include computer system readable media in the form of volatile memory, such as random access memory (RAM) 5021 and / or cache memory 5022. Computing device 50 may further include other removable / non-removable, volatile / non-volatile computer system storage media. By way of example only, ROM 5023 may be used to read and write non-removable, non-volatile magnetic media (…). Figure 5 Not shown in the image (usually referred to as a "hard drive"). Although not shown in Figure 5 The diagram illustrates that disk drives for reading and writing to removable non-volatile disks (e.g., "floppy disks") and optical disc drives for reading and writing to removable non-volatile optical discs (e.g., CD-ROMs, DVD-ROMs, or other optical media) can be provided. In these cases, each drive can be connected to bus 503 via one or more data media interfaces. System memory 502 may include at least one program product having a set (e.g., at least one) of program modules configured to perform the functions of the embodiments of the present invention.

[0151] A program / utility 5025 having a set (at least one) of program modules 5024 may be stored, for example, in system memory 502, and such program modules 5024 include, but are not limited to, an operating system, one or more application programs, other program modules, and program data, each or some combination of these examples may include an implementation of a network environment. Program modules 5024 typically perform the functions and / or methods described in the embodiments of the present invention.

[0152] The computing device 50 can also communicate with one or more external devices 504 (such as a keyboard, pointing device, display, etc.). This communication can be performed through the input / output (I / O) interface 505. Furthermore, the computing device 50 can also communicate with one or more networks (such as a local area network (LAN), a wide area network (WAN), and / or a public network, such as the Internet) via a network adapter 506. Figure 5 As shown, network adapter 506 communicates with other modules of computing device 50 (such as processing unit 501) via bus 503. It should be understood that, although... Figure 5 As not shown, it can be used in conjunction with computing device 50 with other hardware and / or software modules.

[0153] The processing unit 501 executes various functional applications and data processing by running programs stored in the system memory 502. For example, when a pre-deployed thermal imager detects a target heat source, it determines the current location of the target heat source; it acquires a target image of the target heat source at the current location using a pre-deployed image acquisition device; it performs human feature recognition on the target image to obtain the human feature recognition result; if the human feature recognition result indicates that the target image contains human features, it determines that the target heat source is the heat source of the target human and outputs an alarm message to the target human; if the human feature recognition result indicates that the target image does not contain human features, it determines that the target heat source is the heat source of the target animal and activates an ultrasonic transmitter for the target animal to drive it away. The specific implementation of each step will not be repeated here. It should be noted that although several units / modules or sub-units / sub-modules for intelligent protection devices for weather stations are mentioned in the above detailed description, this division is merely exemplary and not mandatory. In fact, according to embodiments of the present invention, the features and functions of two or more units / modules described above can be embodied in one unit / module. Conversely, the features and functions of a unit / module described above can be further divided into multiple units / modules for specificity.

[0154] In the description of this invention, it should be noted that the terms "first," "second," and "third" are used for descriptive purposes only and should not be construed as indicating or implying relative importance.

[0155] Those skilled in the art will understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0156] In the several embodiments provided by this invention, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. The apparatus embodiments described above are merely illustrative. For example, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. Furthermore, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Additionally, the coupling or direct coupling or communication connection shown or discussed may be through some communication interfaces; the indirect coupling or communication connection between devices or units may be electrical, mechanical, or other forms.

[0157] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0158] In addition, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.

[0159] If the aforementioned functions are implemented as software functional units and sold or used as independent products, they can be stored in a processor-executable, non-volatile, computer-readable storage medium. Based on this understanding, the technical solution of this invention, essentially, or the part that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0160] Finally, it should be noted that the above-described embodiments are merely specific implementations of the present invention, used to illustrate the technical solutions of the present invention, and not to limit it. The scope of protection of the present invention is not limited thereto. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that any person skilled in the art can still modify or easily conceive of changes to the technical solutions described in the foregoing embodiments within the technical scope disclosed in the present invention, or make equivalent substitutions for some of the technical features; and these modifications, changes, or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be covered within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

[0161] Furthermore, although the operations of the method of the present invention are described in a specific order in the accompanying drawings, this does not require or imply that these operations must be performed in that specific order, or that all the operations shown must be performed to achieve the desired result. Additionally or alternatively, certain steps may be omitted, multiple steps may be combined into one step, and / or one step may be broken down into multiple steps.

Claims

1. A smart protection method for weather stations, characterized in that, The method includes: When a pre-deployed thermal imager detects a target heat source, the current location of the target heat source is determined; A target image of the target heat source located at the current position is acquired using pre-deployed image acquisition equipment; Human feature recognition is performed on the target image to obtain the human feature recognition result; If the human feature recognition result indicates that the target image contains human features, then the target heat source is determined to be the heat source of the target human, and an alarm message is output to the target human. If the human feature recognition result indicates that the target image does not contain human features, then the target heat source is determined to be the heat source of the target animal, and an ultrasonic transmitter is activated for the target animal to drive the target animal away in a directional manner.

2. The intelligent protection method for weather stations according to claim 1, characterized in that, The weather station is equipped with an automatic weather station mast, and the thermal imager and the ultrasonic transmitter are pre-deployed on the top of the automatic weather station mast.

3. The intelligent protection method for weather stations according to claim 1, characterized in that, The output of alarm information to the target human specifically includes: Perform facial feature recognition on the target image to obtain the current facial features; Obtain standard facial features of weather station staff; The current facial features are matched with the standard facial features to obtain the facial feature matching result; If the facial feature matching result indicates that the current facial feature successfully matches the standard facial feature, then the target human is determined to be a staff member of the weather station, and maintenance information is uploaded to the weather station's server; wherein, the maintenance information includes the maintenance start time, maintenance end time, and maintenance image data of the staff member performing maintenance on the weather station.

4. The intelligent protection method for weather stations according to claim 3, characterized in that, The method further includes: If the facial feature matching result indicates that the current facial feature does not match the standard facial feature, an alarm message is output to the target human, and an alarm command is sent to the terminal device of the weather station staff; wherein, the alarm message is an alarm sound emitted by a pre-deployed buzzer, and the alarm command is used to control the staff's terminal device to activate the sound alarm operation so that the staff can handle the target human; The image acquisition device acquires image data containing the target human. The image data is uploaded to the weather station's server.

5. The intelligent protection method for weather stations according to claim 1, characterized in that, The step of activating the ultrasonic transmitter for the target animal, so that the ultrasonic transmitter can be directed to repel the target animal, specifically includes: Collect the current body temperature of the target animal; Species feature recognition is performed on the target image to obtain the current species features; Based on the current body temperature and the current species characteristics, determine the current species of the target animal; Obtain the optimal removal frequency that matches the current species; The ultrasonic transmitter is activated at the optimal repulsion frequency for the target animal, so that the ultrasonic transmitter can directionally repel the target animal.

6. The intelligent protection method for weather stations according to claim 5, characterized in that, The step of activating the ultrasonic transmitter at the optimal repulsion frequency for the target animal, so as to directionally repel the target animal, specifically includes: The rotation angle of the ultrasonic transmitter is calculated based on the current position of the target animal and the ultrasonic emission direction of the ultrasonic transmitter. The ultrasonic transmitter is controlled to rotate based on the rotation angle. When the ultrasonic transmitter stops rotating, the ultrasonic transmitter is controlled to emit ultrasonic waves toward the target animal based on the optimal repulsion frequency, so that the ultrasonic transmitter can directionally repel the target animal.

7. An intelligent protection device for weather stations, characterized in that, include: A determining unit is used to determine the current location of a target heat source when a pre-deployed thermal imager detects the target heat source. The acquisition unit is used to acquire a target image of the target heat source located at the current position using a pre-deployed image acquisition device; The recognition unit is used to perform human feature recognition on the target image and obtain the human feature recognition result. The output unit is configured to determine the target heat source as the heat source of the target human if the human feature recognition result indicates that the target image contains human features, and to output alarm information to the target human. The activation unit is configured to determine that the target heat source is the heat source of the target animal if the human feature recognition result indicates that the target image does not contain human features, and to activate the ultrasonic transmitter for the target animal so that the ultrasonic transmitter can directionally drive away the target animal.

8. A computing device, characterized in that, The computing device includes: At least one processor, memory, and input / output unit; The memory is used to store computer programs, and the processor is used to invoke the computer programs stored in the memory to execute the method as described in any one of claims 1 to 6.

9. A computer-readable storage medium comprising instructions, characterized in that, When it is run on a computer, it causes the computer to perform the method as described in any one of claims 1 to 6.

10. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by a processor, it implements the method of any one of claims 1-6.

Images