AI intelligent bird repelling method and system based on solar photovoltaic and medium

Abstract

The invention provides an AI intelligent bird repelling method and system based on solar photovoltaics and a medium. The method comprises the following steps: regularly starting solar photovoltaic detection equipment, detecting dynamic information of bird activities in a preset area, if the dynamic information of the bird activities does not exist, sending a dormancy instruction to the solar photovoltaic detection equipment to enter a dormancy state, and if the dynamic information of the bird activities exists, collecting and processing bird images, according to the method, bird species identification information is obtained, bird activity dynamic record data are extracted and processed to obtain corresponding preset bird repelling modes including sound bird repelling and repelling type bird repelling, after-bird-repelling monitoring data in a preset time period after bird repelling are obtained, processing is carried out in combination with the before-bird-repelling monitoring data, and a bird repelling effect index is obtained; the method comprises the following steps: acquiring a preset bird repelling effect threshold value, comparing the preset bird repelling effect threshold value with the preset bird repelling effect threshold value, evaluating the bird repelling effect according to a threshold value comparison result, and correspondingly adjusting bird repelling scheme parameters, thereby realizing a solar photovoltaic-based AI intelligent bird repelling technology.

Description

Technical Field

[0001] The present application relates to the field of AI intelligent bird repellent technology, and more specifically, to an AI intelligent bird repellent method, system and medium based on solar photovoltaics. Background Art

[0002] In life, birds may bring some harm, including agricultural damage, building damage, aviation safety threats and noise pollution, so it is necessary to drive birds away in some areas.

[0003] The main disadvantage of existing bird-repelling technology is that ordinary devices cannot identify whether birds have arrived, causing the device to work all the time, consuming energy and polluting the environment. Installing infrared or ordinary cameras can identify the arrival of birds, but cannot identify specific birds and species. Cameras with algorithms can identify specific birds, but cannot take precise measures to drive them away. They still play some loud noises or ultrasound or the sound of a single enemy, which causes relatively large pollution to the environment. The above solutions are similar to fixed solutions. Once the birds get used to it, they will no longer be afraid, and then the bird-repelling effect will decrease.

[0004] In view of the above problems, effective technical solutions are urgently needed. Summary of the invention

[0005] The purpose of the present application is to provide an AI intelligent bird repellent method, system and medium based on solar photovoltaics. The corresponding bird repellent method can be obtained by processing the dynamic record data of bird activities, and the bird repellent effect monitoring data of the selected bird repellent method can be processed to obtain a bird repellent effect index, and compared with a preset threshold value. The bird repellent effect is evaluated according to the threshold comparison result, and the bird repellent scheme parameters are adjusted accordingly, so as to realize the technology of AI intelligent bird repellent based on solar photovoltaics.

[0006] The present application also provides an AI intelligent bird-repelling method based on solar photovoltaic, comprising the following steps:

[0007] Start the solar photovoltaic detection equipment regularly to detect the dynamic information of bird activities in the preset area;

[0008] If there is no dynamic information of bird activity, a sleep instruction is issued to the solar photovoltaic detection device to enter a sleep state;

[0009] If there is dynamic information about bird activities, bird images are collected and processed to obtain bird species identification information;

[0010] Extracting bird activity dynamic record data according to the bird activity dynamic information, and processing to obtain corresponding preset bird repelling methods, including sound bird repelling and driving bird repelling;

[0011] Obtaining post-bird-repelling monitoring data within a preset time period after bird-repelling, and processing it in combination with pre-bird-repelling monitoring data to obtain a bird-repelling effect index;

[0012] A threshold comparison is performed based on the bird repellent effect index and a preset bird repellent effect threshold, the bird repellent effect is evaluated based on the threshold comparison result, and the bird repellent program parameters are adjusted accordingly.

[0013] Optionally, in the AI ​​intelligent bird-repelling method based on solar photovoltaic described in the present application, the timed start of the solar photovoltaic detection device to detect the dynamic information of bird activities in a preset area includes:

[0014] Obtain the last completed bird-repelling time point data, calculate the interval time data with the current time data and compare it with the preset time interval threshold. If the interval time data is greater than the time interval threshold, start the solar photovoltaic detection equipment;

[0015] Acquire bird activity characteristic information of a preset area in a first detection time period by detecting with the solar photovoltaic detection device, including bird sound detection information, bird flight detection information, and bird activity track detection information;

[0016] The bird activity characteristic information is sent to the background for information recognition to determine the bird activity dynamic information in the preset area during the first detection time period.

[0017] Optionally, in the AI ​​intelligent bird-repelling method based on solar photovoltaic described in the present application, if there is dynamic information of bird activity, bird images are collected and processed to obtain bird species identification information, including:

[0018] If there is dynamic information of bird activities, bird images are collected and sent to the background for denoising preprocessing to obtain preprocessed images;

[0019] The pre-processed image is compared with a preset bird image library to obtain bird species identification information and corresponding bird natural enemy information.

[0020] Optionally, in the AI ​​intelligent bird-repelling method based on solar photovoltaic described in the present application, the bird activity dynamic record data is extracted according to the bird activity dynamic information, and the corresponding preset bird-repelling method is obtained by processing, and the preset bird-repelling method includes sound bird-repelling and driving bird-repelling, including:

[0021] Extracting bird activity dynamic record data according to the bird activity dynamic information, including bird quantity record data, bird flock size record data and bird flock flight range record data;

[0022] Acquiring a preset bird threat condition threshold set corresponding to the genus identification information through a preset bird expulsion database, including a preset bird quantity threshold, a first preset bird flock size threshold, and a preset bird flock flight range threshold;

[0023] Performing a threshold comparison based on the bird activity dynamic record data and the three thresholds corresponding to the preset bird threat condition threshold set;

[0024] If the comparison results of the three thresholds are all less than the corresponding thresholds of the preset bird threat condition threshold set, then the sound bird repellent is selected;

[0025] If the comparison results of the three thresholds are not all less than the corresponding thresholds of the preset bird threat condition threshold set, the bird driving method is selected.

[0026] Optionally, in the AI ​​intelligent bird-repelling method based on solar photovoltaic described in the present application, the preset bird-repelling method includes sound bird-repelling and driving bird-repelling, including:

[0027] If the preset bird-repelling method is sound-repelling, obtaining a second preset bird flock size threshold through a preset bird repelling database;

[0028] Performing a threshold comparison based on the bird flock size record data and the second preset bird flock size threshold;

[0029] If the threshold comparison result is less than or equal to the second preset bird flock size threshold, the birds are driven away by playing the bird natural enemy information;

[0030] If the threshold comparison result is greater than the second preset bird flock size threshold, the birds are driven away by playing a gunshot sound;

[0031] If the preset bird-repelling method is bird-repelling, the bird-repelling intensity is evaluated according to the dynamic record data of bird activities to obtain a bird-repelling coverage intensity index;

[0032] Performing a threshold comparison between the bird-repelling coverage intensity index and a preset coverage intensity threshold, and selecting a corresponding bird-repelling scheme according to the threshold comparison result;

[0033] The calculation formula of the bird repellent coverage intensity index is:

[0034]

[0035] Among them, D k is the bird repellent coverage intensity index, t m 、p v 、h e They are respectively the data of bird number, the data of bird flock size and the data of bird flock flight range. ζ1, ζ2 and ζ3 are the preset characteristic coefficients.

[0036] Optionally, in the AI ​​intelligent bird-repelling method based on solar photovoltaics described in the present application, the post-bird-repelling monitoring data within a preset time period after the bird-repelling is obtained, and combined with the pre-bird-repelling monitoring data for processing to obtain the bird-repelling effect index, includes:

[0037] Obtaining post-bird-repelling monitoring data within a preset time period after bird-repelling, including data on the total number of birds after bird-repelling and data on the average stay time of birds after bird-repelling;

[0038] Obtain the pre-bird-repelling monitoring data before bird-repelling, including the total number of birds before bird-repelling and the average stay time of birds before bird-repelling;

[0039] The bird driving effect index is obtained by processing the total number of birds after driving away the birds and the average stay time of birds after driving away the birds, combined with the total number of birds before driving away the birds and the average stay time of birds before driving away the birds;

[0040] The calculation formula of the bird repellent effect index is:

[0041]

[0042] Among them, Q r is the bird repellent effect index, G s 、F w They are the total number of birds after driving away the birds and the average stay time of birds after driving away the birds, g s 、f w They are the total number of birds before driving away the birds and the average stay time of birds before driving away the birds. η1 and η2 are the preset characteristic coefficients.

[0043] Optionally, in the AI ​​intelligent bird-repellent method based on solar photovoltaic described in the present application, the bird-repellent effect index is compared with a preset bird-repellent effect threshold, the bird-repellent effect is evaluated according to the threshold comparison result, and the bird-repellent scheme parameters are adjusted, including:

[0044] Performing a threshold comparison between the bird repelling effect index and a preset bird repelling effect threshold to obtain a threshold comparison result;

[0045] If the comparison result does not meet the preset threshold requirements, adjust the bird repelling program parameters;

[0046] The bird-repelling scheme parameters include noise audio data, noise intensity data and noise range data.

[0047] In a second aspect, the present application provides an AI intelligent bird-repelling system based on solar photovoltaics, the system comprising: a memory and a processor, the memory comprising a program of an AI intelligent bird-repelling method based on solar photovoltaics, and the program of the AI ​​intelligent bird-repelling method based on solar photovoltaics is executed by the processor to implement the following steps:

[0048] Start the solar photovoltaic detection equipment regularly to detect the dynamic information of bird activities in the preset area;

[0049] If there is no dynamic information of bird activity, a sleep instruction is issued to the solar photovoltaic detection device to enter a sleep state;

[0050] If there is dynamic information about bird activities, bird images are collected and processed to obtain bird species identification information;

[0051] Extracting bird activity dynamic record data according to the bird activity dynamic information, and processing to obtain corresponding preset bird repelling methods, including sound bird repelling and driving bird repelling;

[0052] Obtaining post-bird-repelling monitoring data within a preset time period after bird-repelling, and processing it in combination with pre-bird-repelling monitoring data to obtain a bird-repelling effect index;

[0053] A threshold comparison is performed based on the bird repellent effect index and a preset bird repellent effect threshold, the bird repellent effect is evaluated based on the threshold comparison result, and the bird repellent program parameters are adjusted accordingly.

[0054] Optionally, in the AI ​​intelligent bird-repelling system based on solar photovoltaic described in the present application, the timed start of the solar photovoltaic detection device to detect the dynamic information of bird activities in a preset area includes:

[0055] Obtain the last completed bird-repelling time point data, calculate the interval time data with the current time data and compare it with the preset time interval threshold. If the interval time data is greater than the time interval threshold, start the solar photovoltaic detection equipment;

[0056] Acquire bird activity characteristic information of a preset area in a first detection time period by detecting with the solar photovoltaic detection device, including bird sound detection information, bird flight detection information, and bird activity track detection information;

[0057] The bird activity characteristic information is sent to the background for information recognition to determine the bird activity dynamic information in the preset area during the first detection time period.

[0058] In a third aspect, the present application also provides a computer-readable storage medium, which stores an AI intelligent bird-repelling method program based on solar photovoltaics. When the AI ​​intelligent bird-repelling method program based on solar photovoltaics is executed by a processor, the steps of the AI ​​intelligent bird-repelling method based on solar photovoltaics as described in any one of the above items are implemented.

[0059] From the above, it can be seen that the AI ​​intelligent bird-repellent method, system and medium based on solar photovoltaic provided by the present application detect the dynamic information of bird activities in a preset area by starting the solar photovoltaic detection equipment at a fixed time. If there is no dynamic information of bird activities, a sleep command is issued to the solar photovoltaic detection equipment to enter a sleep state. If there is dynamic information of bird activities, bird images are collected and processed to obtain bird species identification information, and bird activity dynamic record data is extracted according to the dynamic information of bird activities, and processed to obtain corresponding preset bird repellent methods, including sound bird repellent and driving bird repellent, and the post-bird repellent monitoring data within the preset time period after bird repellent is obtained, and combined with the pre-bird repellent monitoring data for processing to obtain the bird repellent effect index, and a threshold comparison is performed according to the bird repellent effect index and the preset bird repellent effect threshold, and the bird repellent effect is evaluated according to the threshold comparison result, and the bird repellent scheme parameters are adjusted accordingly, thereby realizing the technology of AI intelligent bird repellent based on solar photovoltaic.

[0060] Other features and advantages of the present application will be described in the following description, and partly become apparent from the description, or understood by practicing the embodiments of the present application. The purpose and other advantages of the present application can be realized and obtained by the structures specifically pointed out in the written description and the drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0061] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the embodiments of the present application will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0062] Figure 1 A flow chart of an AI intelligent bird-repelling method based on solar photovoltaics provided in an embodiment of the present application;

[0063] Figure 2 A flow chart of detecting dynamic information of bird activities of an AI intelligent bird-repellent method based on solar photovoltaic provided in an embodiment of the present application;

[0064] Figure 3 A flow chart of obtaining bird species identification information of an AI intelligent bird-repelling method based on solar photovoltaics provided in an embodiment of the present application;

[0065] Figure 4 A flowchart of obtaining a preset bird-repelling method for the AI ​​intelligent bird-repelling method based on solar photovoltaics provided in an embodiment of the present application. DETAILED DESCRIPTION

[0066] The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all of the embodiments. The components of the embodiments of the present application described and shown in the drawings here can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the application claimed for protection, but merely represents the selected embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without making creative work belong to the scope of protection of the present application.

[0067] It should be noted that similar reference numerals and letters represent similar items in the following drawings, so once an item is defined in one drawing, it does not need to be further defined and explained in subsequent drawings. At the same time, in the description of this application, the terms "first", "second", etc. are only used to distinguish the description and cannot be understood as indicating or implying relative importance.

[0068] Please refer to Figure 1 , Figure 1 The following is a flow chart of an AI intelligent bird-repelling method based on solar photovoltaics in some embodiments of the present application. The AI ​​intelligent bird-repelling method based on solar photovoltaics is used in terminal devices, such as computers, mobile phone terminals, etc. The AI ​​intelligent bird-repelling method based on solar photovoltaics includes the following steps:

[0069] S11, timing start of the solar photovoltaic detection equipment to detect dynamic information of bird activities in a preset area;

[0070] S12, if there is no dynamic information of bird activities, issuing a sleep instruction to the solar photovoltaic detection device to enter a sleep state;

[0071] S13, if there is bird activity dynamic information, collect bird images and process them to obtain bird species identification information;

[0072] S14, extracting bird activity dynamic record data according to the bird activity dynamic information, and processing to obtain corresponding preset bird repelling methods, including sound bird repelling and driving bird repelling;

[0073] S15, obtaining post-bird-repelling monitoring data within a preset time period after bird-repelling, and processing it in combination with the pre-bird-repelling monitoring data to obtain a bird-repelling effect index;

[0074] S16, performing a threshold comparison between the bird repelling effect index and a preset bird repelling effect threshold, evaluating the bird repelling effect according to the threshold comparison result, and adjusting the bird repelling scheme parameters accordingly.

[0075] It should be noted that since birds may cause some harm, it is necessary to drive away birds in some specific areas. In order to achieve more intelligent, efficient and energy-saving bird-repelling technology, the solar photovoltaic detection equipment is first started at a fixed time to detect the dynamic information of bird activities in the preset area. If there is no dynamic information of bird activities, a sleep command is issued to the solar photovoltaic detection equipment to enter a sleep state. If there is dynamic information of bird activities, bird images are collected and processed to obtain bird species identification information. Bird activity dynamic record data is extracted based on the dynamic information of bird activities, and processed to obtain corresponding preset bird-repelling methods, including sound bird-repelling and driving-type bird-repelling. The post-bird-repelling monitoring data within the preset time period after bird-repelling is obtained, and combined with the pre-bird-repelling monitoring data for processing, the bird-repelling effect index is obtained. The threshold comparison is performed based on the bird-repelling effect index and the preset bird-repelling effect threshold. The bird-repelling effect is evaluated based on the threshold comparison result, and the bird-repelling scheme parameters are adjusted accordingly, thereby realizing AI intelligent bird-repelling technology based on solar photovoltaics.

[0076] Please refer to Figure 2 , Figure 2 The following is a flow chart of detecting bird activity dynamic information of an AI intelligent bird-repelling method based on solar photovoltaic in some embodiments of the present application. According to an embodiment of the present invention, the timing of starting the solar photovoltaic detection device to detect the bird activity dynamic information in a preset area includes:

[0077] S21, obtaining the last bird-repelling completion time point data, calculating the interval time data with the current time data and comparing it with the preset time interval threshold, and if the interval time data is greater than the time interval threshold, starting the solar photovoltaic detection device;

[0078] S22, detecting and obtaining bird activity characteristic information of a preset area in a first detection time period through the solar photovoltaic detection device, including bird sound detection information, bird flight detection information, and bird activity track detection information;

[0079] S23: Send the bird activity characteristic information to the background for information recognition, and determine the bird activity dynamic information in the preset area during the first detection time period.

[0080] It should be noted that birds do not enter a certain area all the time to carry out activities. In order to save more energy, a solar photovoltaic detection device that can be started at a time is used to detect bird activities in the area. When the interval time from the last bird expelling is greater than the preset time interval threshold, the solar photovoltaic detection device is started and the acquired bird activity characteristic information is identified and processed to determine the dynamic information of bird activities in the first detection time period. The time interval threshold and the first detection time period can be set as needed. In the embodiment of the present application, the time interval threshold is set to 20 minutes, and the first detection time period is set to 30 minutes.

[0081] Please refer to Figure 3 , Figure 3 The present invention is a flowchart of obtaining bird species identification information of an AI intelligent bird-repelling method based on solar photovoltaic in some embodiments of the present application. According to an embodiment of the present invention, if there is dynamic information of bird activities, bird images are collected and processed to obtain bird species identification information, including:

[0082] S31, if there is dynamic information of bird activities, collect bird images and send them to the background for denoising preprocessing to obtain preprocessed images;

[0083] S32, comparing the pre-processed image with a preset bird image library to obtain bird genus and species identification information and corresponding bird natural enemy information.

[0084] It should be noted that when the solar photovoltaic detection equipment detects bird activity within the detection time period, the camera is started to take pictures of the birds, bird images are collected, and sent to the background for denoising preprocessing to remove image interference factors, improve image clarity, and compare and process through the preset bird image library to obtain bird species identification information and corresponding bird natural enemy information, where the bird natural enemy information includes the sound information of the bird's corresponding natural enemy or sound information similar to the sound of the natural enemy.

[0085] Please refer to Figure 4 , Figure 4 The present invention is a flowchart of obtaining a preset bird-repelling method of an AI intelligent bird-repelling method based on solar photovoltaic in some embodiments of the present application. According to an embodiment of the present invention, the bird activity dynamic record data is extracted according to the bird activity dynamic information, and the corresponding preset bird-repelling method is obtained by processing. The preset bird-repelling method includes sound bird-repelling and driving bird-repelling, including:

[0086] S41, extracting bird activity dynamic record data according to the bird activity dynamic information, including bird quantity record data, bird flock size record data and bird flock flight range record data;

[0087] S42, obtaining a preset bird threat condition threshold set corresponding to the genus identification information through a preset bird expulsion database, including a preset bird quantity threshold, a first preset bird flock size threshold, and a preset bird flock flight range threshold;

[0088] S43, performing threshold comparison according to the bird activity dynamic record data and three thresholds corresponding to the preset bird threat condition threshold set;

[0089] S44, if the comparison results of the three thresholds are all less than the corresponding thresholds of the preset bird threat condition threshold set, then selecting sound bird repellent;

[0090] S45. If the comparison results of the three thresholds are not all less than the corresponding thresholds of the preset bird threat condition threshold set, the bird driving method is selected.

[0091] It should be noted that the dynamic recording data of bird activities are extracted based on the dynamic information of bird activities, including the recording data of the number of birds, the size of the flock and the flight range of the flock, and the threat level of the bird activities is comprehensively judged based on these three data. If the threat level is low, sound-based bird repellent is used, and if the threat level is high, bird repellent is carried out. For example, when the number of birds is large, the size of the flock is large and the flight coverage of the flock is wide, it is necessary to let the bird repellent device enter the middle of the flock for bird repellent, which will have a better effect.

[0092] According to an embodiment of the present invention, the preset bird-repelling method includes sound bird-repelling and driving-type bird-repelling, including:

[0093] If the preset bird-repelling method is sound-repelling, obtaining a second preset bird flock size threshold through a preset bird repelling database;

[0094] Performing a threshold comparison based on the bird flock size record data and the second preset bird flock size threshold;

[0095] If the threshold comparison result is less than or equal to the second preset bird flock size threshold, the birds are driven away by playing the bird natural enemy information;

[0096] If the threshold comparison result is greater than the second preset bird flock size threshold, the birds are driven away by playing a gunshot sound;

[0097] If the preset bird-repelling method is bird-repelling, the bird-repelling intensity is evaluated according to the dynamic record data of bird activities to obtain a bird-repelling coverage intensity index;

[0098] Performing a threshold comparison between the bird-repelling coverage intensity index and a preset coverage intensity threshold, and selecting a corresponding bird-repelling scheme according to the threshold comparison result;

[0099] The calculation formula of the bird repellent coverage intensity index is:

[0100]

[0101] Among them, D k is the bird repellent coverage intensity index, t m 、p v 、h e They are respectively the data of bird number, the data of bird flock size and the data of bird flock flight range. ζ1, ζ2 and ζ3 are preset characteristic coefficients (the characteristic coefficients are obtained by querying the preset bird expulsion monitoring platform database).

[0102] It should be noted that after selecting the sound bird repellent method, it is necessary to further judge the size of the bird flock. If the size of the bird flock is less than or equal to a certain value, then the sound of the bird's natural enemy or a sound similar to the sound of the natural enemy is selected to repel the bird. Otherwise, the bird is repelled by playing the sound of a gunshot. When the bird repellent method is expulsion-type bird repellent, the bird repellent intensity is evaluated based on the corresponding dynamic recording data of bird activities, and the corresponding expulsion-type bird repellent plan is selected based on the evaluation results to ensure that the bird repellent effect covers all bird activities and achieves a better bird repellent effect. Among them, the expulsion-type bird repellent plan includes sending instructions to let the bird repellent device enter the designated position, and cooperating with the sound of natural enemies, sound waves similar to natural enemies or gunshot sounds to repel birds.

[0103] According to an embodiment of the present invention, the step of obtaining the post-bird-repelling monitoring data within a preset time period after bird-repelling, and processing the data in combination with the pre-bird-repelling monitoring data to obtain the bird-repelling effect index includes:

[0104] Obtaining post-bird-repelling monitoring data within a preset time period after bird-repelling, including data on the total number of birds after bird-repelling and data on the average stay time of birds after bird-repelling;

[0105] Obtain the pre-bird-repelling monitoring data before bird-repelling, including the total number of birds before bird-repelling and the average stay time of birds before bird-repelling;

[0106] The bird driving effect index is obtained by processing the total number of birds after driving away the birds and the average stay time of birds after driving away the birds, combined with the total number of birds before driving away the birds and the average stay time of birds before driving away the birds;

[0107] The calculation formula of the bird repellent effect index is:

[0108]

[0109] Among them, Q r is the bird repellent effect index, G s 、F w They are the total number of birds after driving away the birds and the average stay time of birds after driving away the birds, g s 、f w They are the total number of birds before bird expulsion and the average stay time of birds before bird expulsion, respectively; η1 and η2 are the preset characteristic coefficients (the characteristic coefficients are obtained by querying the preset bird expulsion monitoring platform database).

[0110] It should be noted that the bird activities in the area are monitored for a period of time after bird expulsion, and monitoring data are collected, including the total number of birds after bird expulsion and the average stay time of birds after bird expulsion. At the same time, the corresponding monitoring data of similar areas before bird expulsion in the same time period are obtained, including the total number of birds before bird expulsion and the average stay time of birds before bird expulsion. The above data are processed to obtain the bird expulsion effect index.

[0111] According to an embodiment of the present invention, performing a threshold comparison between the bird repelling effect index and a preset bird repelling effect threshold, evaluating the bird repelling effect according to the threshold comparison result, and adjusting the bird repelling scheme parameters include:

[0112] Performing a threshold comparison between the bird repelling effect index and a preset bird repelling effect threshold to obtain a threshold comparison result;

[0113] If the comparison result does not meet the preset threshold requirements, adjust the bird repelling program parameters;

[0114] The bird-repelling scheme parameters include noise audio data, noise intensity data and noise range data.

[0115] It should be noted that in order to judge the bird repellent effect of the adopted bird repellent scheme, a threshold comparison is first performed based on the bird repellent effect index and the preset bird repellent effect threshold to obtain the threshold comparison result. If the comparison result is not within the preset range, the sound parameters of the corresponding bird repellent scheme are adjusted to achieve a better bird repellent effect after optimizing the parameters, wherein the parameters include parameters of noise audio, noise intensity and noise range related to the bird repellent sound.

[0116] In a second aspect, the present invention further discloses an AI intelligent bird-repelling system based on solar photovoltaics, comprising a memory and a processor, wherein the memory comprises an AI intelligent bird-repelling method program based on solar photovoltaics, and when the AI ​​intelligent bird-repelling method program based on solar photovoltaics is executed by the processor, the following steps are implemented:

[0117] Start the solar photovoltaic detection equipment regularly to detect the dynamic information of bird activities in the preset area;

[0118] If there is no dynamic information of bird activity, a sleep instruction is issued to the solar photovoltaic detection device to enter a sleep state;

[0119] If there is dynamic information about bird activities, bird images are collected and processed to obtain bird species identification information;

[0120] Extracting bird activity dynamic record data according to the bird activity dynamic information, and processing to obtain corresponding preset bird repelling methods, including sound bird repelling and driving bird repelling;

[0121] Obtaining post-bird-repelling monitoring data within a preset time period after bird-repelling, and processing it in combination with pre-bird-repelling monitoring data to obtain a bird-repelling effect index;

[0122] A threshold comparison is performed based on the bird repellent effect index and a preset bird repellent effect threshold, the bird repellent effect is evaluated based on the threshold comparison result, and the bird repellent program parameters are adjusted accordingly.

[0123] It should be noted that since birds may cause some harm, it is necessary to drive birds away in some specific areas. In order to achieve a more intelligent, efficient and energy-saving bird-driving technology, the solar photovoltaic detection equipment is first started at a fixed time to detect the dynamic information of bird activities in the preset area. If there is no dynamic information of bird activities, a sleep command is issued to the solar photovoltaic detection equipment to enter a sleep state. If there is dynamic information of bird activities, bird images are collected and processed to obtain bird species identification information. According to the dynamic information of bird activities, the dynamic record data of bird activities is extracted, and the corresponding preset bird-driving methods are obtained by processing, including sound bird-driving and driving bird-driving. The post-bird-driving monitoring data within the preset time period after bird-driving is obtained, and combined with the pre-bird-driving monitoring data, the bird-driving effect index is obtained. The threshold is compared with the preset bird-driving effect threshold according to the bird-driving effect index, and the bird-driving effect is evaluated according to the threshold comparison result, and the bird-driving scheme parameters are adjusted accordingly, thereby realizing the AI ​​intelligent bird-driving technology based on solar photovoltaic. .

[0124] According to an embodiment of the present invention, the timed activation of the solar photovoltaic detection device to detect dynamic information of bird activities in a preset area includes:

[0125] Obtain the last completed bird-repelling time point data, calculate the interval time data with the current time data and compare it with the preset time interval threshold. If the interval time data is greater than the time interval threshold, start the solar photovoltaic detection equipment;

[0126] Acquire bird activity characteristic information of a preset area in a first detection time period by detecting with the solar photovoltaic detection device, including bird sound detection information, bird flight detection information, and bird activity track detection information;

[0127] The bird activity characteristic information is sent to the background for information recognition to determine the bird activity dynamic information in the preset area during the first detection time period.

[0128] It should be noted that birds do not enter a certain area all the time to carry out activities. In order to save more energy, a solar photovoltaic detection device that can be started at a time is used to detect bird activities in the area. When the interval time from the last bird expelling is greater than the preset time interval threshold, the solar photovoltaic detection device is started and the acquired bird activity characteristic information is identified and processed to determine the dynamic information of bird activities in the first detection time period. The time interval threshold and the first detection time period can be set as needed. In the embodiment of the present application, the time interval threshold is set to 20 minutes, and the first detection time period is set to 30 minutes.

[0129] According to an embodiment of the present invention, if there is dynamic information of bird activities, collecting bird images and processing them to obtain bird species identification information includes:

[0130] If there is dynamic information of bird activities, bird images are collected and sent to the background for denoising preprocessing to obtain preprocessed images;

[0131] The pre-processed image is compared with a preset bird image library to obtain bird species identification information and corresponding bird natural enemy information.

[0132] It should be noted that when the solar photovoltaic detection equipment detects bird activity within the detection time period, the camera is started to take pictures of the birds, bird images are collected, and sent to the background for denoising preprocessing to remove image interference factors, improve image clarity, and compare and process through the preset bird image library to obtain bird species identification information and corresponding bird natural enemy information, where the bird natural enemy information includes the sound information of the bird's corresponding natural enemy or sound information similar to the sound of the natural enemy.

[0133] According to an embodiment of the present invention, the bird activity dynamic record data is extracted according to the bird activity dynamic information, and the corresponding preset bird repelling method is obtained by processing, and the preset bird repelling method includes sound bird repelling and driving bird repelling, including:

[0134] Extracting bird activity dynamic record data according to the bird activity dynamic information, including bird quantity record data, bird flock size record data and bird flock flight range record data;

[0135] Acquiring a preset bird threat condition threshold set corresponding to the genus identification information through a preset bird expulsion database, including a preset bird quantity threshold, a first preset bird flock size threshold, and a preset bird flock flight range threshold;

[0136] Performing a threshold comparison based on the bird activity dynamic record data and the three thresholds corresponding to the preset bird threat condition threshold set;

[0137] If the comparison results of the three thresholds are all less than the corresponding thresholds of the preset bird threat condition threshold set, then the sound bird repellent is selected;

[0138] If the comparison results of the three thresholds are not all less than the corresponding thresholds of the preset bird threat condition threshold set, the bird driving method is selected.

[0139] It should be noted that the dynamic recording data of bird activities is extracted based on the dynamic information of bird activities, including the recording data of the number of birds, the size of the flock and the flight range of the flock, and the threat level of the bird activities is comprehensively judged based on these three data. If the threat level is low, sound is used to drive away the birds, and if the threat level is high, the bird-repelling device is dispatched for driving-type bird repelling. For example, when the number of birds is large, the size of the flock is large and the flight coverage of the flock is wide, the bird-repelling device needs to be placed in the middle of the flock for bird repelling, which will have a better effect.

[0140] According to an embodiment of the present invention, the preset bird-repelling method includes sound bird-repelling and driving-type bird-repelling, including:

[0141] If the preset bird-repelling method is sound-repelling, obtaining a second preset bird flock size threshold through a preset bird repelling database;

[0142] Performing a threshold comparison based on the bird flock size record data and the second preset bird flock size threshold;

[0143] If the threshold comparison result is less than or equal to the second preset bird flock size threshold, the birds are driven away by playing the bird natural enemy information;

[0144] If the threshold comparison result is greater than the second preset bird flock size threshold, the birds are driven away by playing a gunshot sound;

[0145] If the preset bird-repelling method is bird-repelling, the bird-repelling intensity is evaluated according to the dynamic record data of bird activities to obtain a bird-repelling coverage intensity index;

[0146] Performing a threshold comparison between the bird-repelling coverage intensity index and a preset coverage intensity threshold, and selecting a corresponding bird-repelling scheme according to the threshold comparison result;

[0147] The calculation formula of the bird repellent coverage intensity index is:

[0148]

[0149] Among them, D k is the bird repellent coverage intensity index, t m 、p v 、h e They are respectively the data of bird number, the data of bird flock size and the data of bird flock flight range. ζ1, ζ2 and ζ3 are preset characteristic coefficients (the characteristic coefficients are obtained by querying the preset bird expulsion monitoring platform database).

[0150] It should be noted that after selecting the sound bird repellent method, it is necessary to further judge the size of the bird flock. If the size of the bird flock is less than or equal to a certain value, then the sound of the bird's natural enemy or a sound similar to the sound of the natural enemy is selected to repel the bird. Otherwise, the bird is repelled by playing the sound of a gunshot. When the bird repellent method is expulsion-type bird repellent, the bird repellent intensity is evaluated based on the corresponding dynamic recording data of bird activities, and the corresponding expulsion-type bird repellent plan is selected based on the evaluation results to ensure that the bird repellent effect covers all bird activities and achieves a better bird repellent effect. Among them, the expulsion-type bird repellent plan includes sending instructions to let the bird repellent device enter the designated position, and cooperating with the sound of natural enemies, sound waves similar to natural enemies or gunshot sounds to repel birds.

[0151] According to an embodiment of the present invention, the step of obtaining the post-bird-repelling monitoring data within a preset time period after bird-repelling, and processing the data in combination with the pre-bird-repelling monitoring data to obtain the bird-repelling effect index includes:

[0152] Obtaining post-bird-repelling monitoring data within a preset time period after bird-repelling, including data on the total number of birds after bird-repelling and data on the average stay time of birds after bird-repelling;

[0153] Obtain the pre-bird-repelling monitoring data before bird-repelling, including the total number of birds before bird-repelling and the average stay time of birds before bird-repelling;

[0154] The bird driving effect index is obtained by processing the total number of birds after driving away the birds and the average stay time of birds after driving away the birds, combined with the total number of birds before driving away the birds and the average stay time of birds before driving away the birds;

[0155] The calculation formula of the bird repellent effect index is:

[0156]

[0157] Among them, Q r is the bird repellent effect index, G s 、F w They are the total number of birds after driving away the birds and the average stay time of birds after driving away the birds, g s 、f w They are the total number of birds before bird expulsion and the average stay time of birds before bird expulsion, respectively; η1 and η2 are the preset characteristic coefficients (the characteristic coefficients are obtained by querying the preset bird expulsion monitoring platform database).

[0158] It should be noted that the bird activities in the area are monitored for a period of time after bird expulsion, and monitoring data are collected, including the total number of birds after bird expulsion and the average stay time of birds after bird expulsion. At the same time, the corresponding monitoring data of similar areas before bird expulsion in the same time period are obtained, including the total number of birds before bird expulsion and the average stay time of birds before bird expulsion. The above data are processed to obtain the bird expulsion effect index.

[0159] According to an embodiment of the present invention, performing a threshold comparison between the bird repelling effect index and a preset bird repelling effect threshold, evaluating the bird repelling effect according to the threshold comparison result, and adjusting the bird repelling scheme parameters include:

[0160] Performing a threshold comparison between the bird repelling effect index and a preset bird repelling effect threshold to obtain a threshold comparison result;

[0161] If the comparison result does not meet the preset threshold requirements, adjust the bird repelling program parameters;

[0162] The bird-repelling scheme parameters include noise audio data, noise intensity data and noise range data.

[0163] The bird-repelling device includes but is not limited to movable or flying equipment such as drones and bird-repelling robots.

[0164] It should be noted that in order to judge the bird repellent effect of the adopted bird repellent scheme, a threshold comparison is first performed based on the bird repellent effect index and the preset bird repellent effect threshold to obtain the threshold comparison result. If the comparison result is not within the preset range, the sound parameters of the corresponding bird repellent scheme are adjusted to achieve a better bird repellent effect after optimizing the parameters, wherein the parameters include parameters of noise audio, noise intensity and noise range related to the bird repellent sound.

[0165] A third aspect of the present invention provides a readable storage medium, which stores an AI intelligent bird-repelling method program based on solar photovoltaics. When the AI ​​intelligent bird-repelling method program based on solar photovoltaics is executed by a processor, the steps of the AI ​​intelligent bird-repelling method based on solar photovoltaics as described in any one of the above items are implemented.

[0166] The AI ​​intelligent bird-repellent method, system and medium based on solar photovoltaic disclosed by the present invention detect the dynamic information of bird activities in a preset area by starting the solar photovoltaic detection equipment at a fixed time. If there is no dynamic information of bird activities, a sleep command is issued to the solar photovoltaic detection equipment to enter a sleep state. If there is dynamic information of bird activities, bird images are collected and processed to obtain bird species identification information. Bird activity dynamic record data is extracted according to the dynamic information of bird activities, and the corresponding preset bird-repellent methods, including sound bird-repellent and driving-type bird-repellent, are processed to obtain post-bird-repellent monitoring data within a preset time period after bird-repellent, and are processed in combination with pre-bird-repellent monitoring data to obtain a bird-repellent effect index. A threshold comparison is performed between the bird-repellent effect index and a preset bird-repellent effect threshold, the bird-repellent effect is evaluated according to the threshold comparison result, and the bird-repellent scheme parameters are adjusted accordingly, thereby realizing the technology of AI intelligent bird-repellent based on solar photovoltaic.

[0167] In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as: multiple units or components can be combined, or can be integrated into another system, or some features can be ignored or not executed. In addition, the coupling, direct coupling, or communication connection between the components shown or discussed can be through some interfaces, and the indirect coupling or communication connection of the devices or units can be electrical, mechanical or other forms.

[0168] The units described above as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units; they may be located in one place or distributed on multiple network units; some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0169] In addition, all functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be separately used as a unit, or two or more units may be integrated into one unit; the above-mentioned integrated units may be implemented in the form of hardware or in the form of hardware plus software functional units.

[0170] Those skilled in the art can understand that: all or part of the steps of implementing the above method embodiments can be completed by hardware related to program instructions, and the aforementioned program can be stored in a readable storage medium. When the program is executed, it executes the steps of the above method embodiments; and the aforementioned storage medium includes: mobile storage devices, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), disks or optical disks, and other media that can store program codes.

[0171] Alternatively, if the above-mentioned integrated unit of the present invention is implemented in the form of a software function module and sold or used as an independent product, it can also be stored in a readable storage medium. Based on this understanding, the technical solution of the embodiment of the present invention can be essentially or partly reflected in the form of a software product that contributes to the prior art. The software product is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the methods described in each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as mobile storage devices, ROM, RAM, magnetic disks or optical disks.

Claims

1. An AI intelligent bird-repelling method based on solar photovoltaic, characterized in that: The following steps are involved: Start the solar photovoltaic detection equipment regularly to detect the dynamic information of bird activities in the preset area; If there is no dynamic information of bird activity, a sleep instruction is issued to the solar photovoltaic detection device to enter a sleep state; If there is dynamic information about bird activities, bird images are collected and processed to obtain bird species identification information; Extracting bird activity dynamic record data according to the bird activity dynamic information, and processing to obtain corresponding preset bird repelling methods, including sound bird repelling and driving bird repelling; Obtain the post-bird-repelling monitoring data within a preset time period after bird-repelling, and process it in combination with the pre-bird-repelling monitoring data to obtain a bird-repelling effect index; A threshold comparison is performed based on the bird repellent effect index and a preset bird repellent effect threshold, the bird repellent effect is evaluated based on the threshold comparison result, and the bird repellent program parameters are adjusted accordingly.

2. The AI ​​intelligent bird-repelling method based on solar photovoltaic according to claim 1 is characterized in that: The timed start of the solar photovoltaic detection device to detect the dynamic information of bird activities in a preset area includes: Obtain the last completed bird-repelling time point data, calculate the interval time data with the current time data and compare it with the preset time interval threshold. If the interval time data is greater than the time interval threshold, start the solar photovoltaic detection equipment; Acquire bird activity characteristic information of a preset area in a first detection time period by detecting with the solar photovoltaic detection device, including bird sound detection information, bird flight detection information, and bird activity track detection information; The bird activity characteristic information is sent to the background for information recognition to determine the bird activity dynamic information in the preset area during the first detection time period.

3. The AI ​​intelligent bird-repelling method based on solar photovoltaic according to claim 2 is characterized in that: If there is dynamic information of bird activities, bird images are collected and processed to obtain bird species identification information, including: If there is dynamic information of bird activities, bird images are collected and sent to the background for denoising preprocessing to obtain preprocessed images; The pre-processed image is compared with a preset bird image library to obtain bird species identification information and corresponding bird natural enemy information.

4. The AI ​​intelligent bird-repelling method based on solar photovoltaic according to claim 3 is characterized in that: The method extracts the bird activity dynamic record data according to the bird activity dynamic information, and processes the data to obtain the corresponding preset bird repelling method, wherein the preset bird repelling method includes sound bird repelling and driving bird repelling, including: Extracting bird activity dynamic record data according to the bird activity dynamic information, including bird quantity record data, bird flock size record data and bird flock flight range record data; Acquiring a preset bird threat condition threshold set corresponding to the genus identification information through a preset bird expulsion database, including a preset bird quantity threshold, a first preset bird flock size threshold, and a preset bird flock flight range threshold; Performing a threshold comparison based on the bird activity dynamic record data and the three thresholds corresponding to the preset bird threat condition threshold set; If the comparison results of the three thresholds are all less than the corresponding thresholds of the preset bird threat condition threshold set, then the sound bird repellent is selected; If the comparison results of the three thresholds are not all less than the corresponding thresholds of the preset bird threat condition threshold set, the bird driving method is selected.

5. The AI ​​intelligent bird-repelling method based on solar photovoltaic according to claim 4 is characterized in that: The preset bird-repelling methods include sound bird-repelling and driving bird-repelling, including: If the preset bird-repelling method is sound-repelling, obtaining a second preset bird flock size threshold through a preset bird repelling database; Performing a threshold comparison based on the bird flock size record data and the second preset bird flock size threshold; If the threshold comparison result is less than or equal to the second preset bird flock size threshold, the birds are driven away by playing the bird natural enemy information; If the threshold comparison result is greater than the second preset bird flock size threshold, the birds are driven away by playing a gunshot sound; If the preset bird-repelling method is bird-repelling, the bird-repelling intensity is evaluated according to the dynamic record data of bird activities to obtain a bird-repelling coverage intensity index; Performing a threshold comparison between the bird-repelling coverage intensity index and a preset coverage intensity threshold, and selecting a corresponding bird-repelling scheme according to the threshold comparison result; The calculation formula of the bird repellent coverage intensity index is: Among them, D k is the bird repellent coverage intensity index, t m 、p v 、h e They are respectively the data of bird number, the data of bird flock size and the data of bird flock flight range. ζ1, ζ2 and ζ3 are the preset characteristic coefficients.

6. The AI ​​intelligent bird-repelling method based on solar photovoltaic according to claim 5 is characterized in that: The step of obtaining the post-bird-repelling monitoring data within a preset time period after the bird-repelling is performed, and processing the data in combination with the pre-bird-repelling monitoring data to obtain the bird-repelling effect index includes: Obtaining post-bird-repelling monitoring data within a preset time period after bird-repelling, including data on the total number of birds after bird-repelling and data on the average stay time of birds after bird-repelling; Obtain the pre-bird-repelling monitoring data before bird-repelling, including the total number of birds before bird-repelling and the average stay time of birds before bird-repelling; The bird driving effect index is obtained by processing the total number of birds after driving away the birds and the average stay time of birds after driving away the birds, combined with the total number of birds before driving away the birds and the average stay time of birds before driving away the birds; The calculation formula of the bird repellent effect index is: Among them, Q r is the bird repellent effect index, G s 、F w They are the total number of birds after driving away the birds and the average stay time of birds after driving away the birds, g s 、f w They are the total number of birds before driving away the birds and the average stay time of birds before driving away the birds. η1 and η2 are the preset characteristic coefficients.

7. The AI ​​intelligent bird-repelling method based on solar photovoltaic according to claim 6 is characterized in that: The step of comparing the bird repelling effect index with a preset bird repelling effect threshold, evaluating the bird repelling effect according to the threshold comparison result, and adjusting the bird repelling scheme parameters includes: Performing a threshold comparison between the bird repelling effect index and a preset bird repelling effect threshold to obtain a threshold comparison result; If the comparison result does not meet the preset threshold requirements, adjust the bird repelling program parameters; The bird-repelling scheme parameters include noise audio data, noise intensity data and noise range data.

8. An AI intelligent bird-repellent system based on solar photovoltaic, characterized in that: The system includes: a memory and a processor, wherein the memory includes a program of an AI intelligent bird-repelling method based on solar photovoltaics, and when the program of the AI ​​intelligent bird-repelling method based on solar photovoltaics is executed by the processor, the following steps are implemented: Start the solar photovoltaic detection equipment regularly to detect the dynamic information of bird activities in the preset area; If there is no dynamic information of bird activity, a sleep instruction is issued to the solar photovoltaic detection device to enter a sleep state; If there is dynamic information about bird activities, bird images are collected and processed to obtain bird species identification information; Extracting bird activity dynamic record data according to the bird activity dynamic information, and processing to obtain corresponding preset bird repelling methods, including sound bird repelling and driving bird repelling; Obtain the post-bird-repelling monitoring data within a preset time period after bird-repelling, and process it in combination with the pre-bird-repelling monitoring data to obtain a bird-repelling effect index; A threshold comparison is performed based on the bird repellent effect index and a preset bird repellent effect threshold, the bird repellent effect is evaluated based on the threshold comparison result, and the bird repellent program parameters are adjusted accordingly.

9. The AI ​​intelligent bird-repellent system based on solar photovoltaic according to claim 8 is characterized in that: The timed start of the solar photovoltaic detection device to detect the dynamic information of bird activities in a preset area includes: Obtain the last completed bird-repelling time point data, calculate the interval time data with the current time data and compare it with the preset time interval threshold. If the interval time data is greater than the time interval threshold, start the solar photovoltaic detection equipment; Acquire bird activity characteristic information of a preset area in a first detection time period by detecting with the solar photovoltaic detection device, including bird sound detection information, bird flight detection information, and bird activity track detection information; The bird activity characteristic information is sent to the background for information recognition to determine the bird activity dynamic information in the preset area during the first detection time period.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes an AI intelligent bird-repelling method program based on solar photovoltaics. When the AI ​​intelligent bird-repelling method program based on solar photovoltaics is executed by a processor, the steps of the AI ​​intelligent bird-repelling method based on solar photovoltaics as described in any one of claims 1 to 7 are implemented.

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