CN113545332A - Intelligent mouse trap - Google Patents
Intelligent mouse trap Download PDFInfo
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- CN113545332A CN113545332A CN202110773066.4A CN202110773066A CN113545332A CN 113545332 A CN113545332 A CN 113545332A CN 202110773066 A CN202110773066 A CN 202110773066A CN 113545332 A CN113545332 A CN 113545332A
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- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01M—CATCHING, TRAPPING OR SCARING OF ANIMALS; APPARATUS FOR THE DESTRUCTION OF NOXIOUS ANIMALS OR NOXIOUS PLANTS
- A01M23/00—Traps for animals
- A01M23/38—Electric traps
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- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01M—CATCHING, TRAPPING OR SCARING OF ANIMALS; APPARATUS FOR THE DESTRUCTION OF NOXIOUS ANIMALS OR NOXIOUS PLANTS
- A01M23/00—Traps for animals
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- Pest Control & Pesticides (AREA)
- Engineering & Computer Science (AREA)
- Insects & Arthropods (AREA)
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Abstract
The invention discloses an intelligent mousetrap, which comprises a detection module, a control module, a human-computer interaction module, a trapping module, a data transmission module and an intelligent terminal module, wherein the detection module is used for acquiring video image information, voice information, environment information, mouse information and mouse bait information of a detection area, the control module is used for controlling the human-computer interaction module and the trapping module to work after processing the detection information, the human-computer interaction module is used for sending an alarm signal and receiving operation instruction information of a user, the trapping module is used for trapping mice in the detection area, the intelligent terminal module is used for remotely acquiring the mouse trapping information by the user and sending a remote control instruction to the control module, the mouse trap can identify the acquired mouse image information and the voice information through the control module, the mouse identification accuracy can be improved, the probability of mistaken killing is reduced, and meanwhile, the detection information is remotely acquired through the intelligent terminal module, and the labor is saved.
Description
Technical Field
The invention relates to the field of mousetraps, in particular to an intelligent mousetrap.
Background
Although some existing deratization devices can kill rats in a short time, the number of the rats cannot be monitored, regional population distribution, density index and seasonal growth and decline conditions of the rats cannot be known, and therefore appropriate deratization measures cannot be made.
Therefore, it is an urgent need to solve the above problems by providing a new technical solution.
Disclosure of Invention
In view of this, the invention provides an intelligent mouse trap to solve the above technical problems.
In order to achieve the purpose, the invention provides the following technical scheme:
an intelligent mouse trap comprises a detection module, a control module, a human-computer interaction module, a trapping module, a data transmission module and an intelligent terminal module.
In the above scheme, the detection module is configured to obtain video image information, voice information, environmental information, mouse information, and rodent bait information of the detection area.
In the above scheme, the control module is connected to the detection module, the human-computer interaction module and the trapping module are both connected to the control module, and the control module is configured to process information detected by the detection module and then control the human-computer interaction module and the trapping module to operate.
In the above scheme, the human-computer interaction module is configured to send an alarm signal under the control of the control module, send operation instruction information of a user to the control module, and receive receipt information sent by the control module.
In the above scheme, the trapping module is used for trapping mice in the detection area under the control of the control module.
In the above scheme, the intelligent terminal module communicates with the control module through the data transmission module, and the intelligent terminal module is used for a user to remotely obtain mouse trapping information and send a remote control instruction to the control module.
In the above scheme, the detection module includes a sensor unit, the sensor unit includes a biological sensing module and an environmental information acquisition module, and the biological sensing module acquires biological information and distance information of a detection area through a plurality of infrared sensing receivers; the environment information acquisition module comprises an air quality sensor, a temperature and humidity sensor and a brightness sensor, the air quality sensor is used for acquiring air quality information of a detection area, the temperature and humidity sensor is used for acquiring environment temperature and humidity information of the detection area, and the brightness sensor is used for acquiring environment brightness information of the detection area.
In the above scheme, detection module still includes bait detecting element, bait detecting element includes material level detector, a weighing sensor and miniature camera head, material level detector is arranged in acquireing the surplus information of bait in the bait box, a weighing sensor is arranged in acquireing the weight information of bait in the bait box, miniature camera head is arranged in the environment and acquires the image information of bait in the bait box.
In the above scheme, detection module still includes video acquisition unit and mouse weight detecting element, video acquisition unit includes rotatable infrared camera, step motor and relay, step motor with the relay all with rotatable infrared camera is connected, rotatable infrared camera is used for gathering detection area's video information, step motor is used for the drive rotatable infrared camera rotates, the relay is used for control opening and closing of rotatable infrared camera, mouse weight detecting element acquires the weight information of mouse through setting up the second weight sensor in bait box the place ahead.
In the above scheme, the detection module further comprises a voice acquisition unit, the voice acquisition unit is used for acquiring the sound emitted by the mouse, the voice acquisition unit comprises an audio collection module and a preprocessing module, the audio collection module acquires the audio information of a detection area through a plurality of omnidirectional microphones, the preprocessing module is connected with the audio collection module, the preprocessing module comprises an audio filter and an audio signal amplifier, the audio filter is used for filtering the audio information acquired by the omnidirectional microphones, the audio signal amplifier is connected with the audio filter, and the audio signal amplifier is used for amplifying the audio signal processed by the audio filter.
In the above scheme, the control module includes a cache unit and an analysis and comparison unit, the cache unit is configured to store the information sent by the detection module, the preset value information of each parameter, the image database, and the audio database, the analysis and comparison unit is connected to the cache unit, and the analysis and comparison unit is configured to analyze and compare the information stored in the storage unit.
In the above solution, the analyzing and comparing unit includes a video preprocessing unit and an image recognition unit, the video preprocessing unit includes a video conversion module, a denoising module, a color recognition module and a graying module, the video conversion module is configured to convert video information of a detection region acquired by the detection module into an image frame, the denoising module is connected to the video conversion module, the denoising module is configured to suppress noise of the image frame processed by the video conversion module through a median filtering algorithm, the color recognition module is connected to the denoising module, the color recognition module is configured to detect color of the image processed by the denoising module, the graying module is connected to the color recognition module, and the graying module is configured to detect the image detected by the color recognition module as an RGB model image, carrying out graying processing on the image; the image recognition unit is connected with the video preprocessing unit and comprises a feature extraction module and a feature matching module, the feature extraction module is used for extracting features of images obtained after the images are processed by the video preprocessing unit by calling a feature extraction algorithm of an OpenCV (open content library) library, the feature matching module is connected with the feature extraction module, the feature matching module is used for performing feature matching on feature information extracted by the feature extraction module and feature information of the image database through a deep learning algorithm to obtain a matching rate, and an image recognition result is obtained according to the matching rate.
In the above solution, the analysis comparing unit further includes an audio identifying unit and a data comparing unit, the audio identifying unit includes an audio converting module, a feature extracting module and an identifying module, the audio converting module includes a framing unit, a windowing unit, a fourier transforming unit, a spectrogram forming unit and a spectrogram converting unit, the framing unit is used for framing the voice information stored in the cache unit, the windowing unit is connected to the framing unit, the windowing unit is used for windowing the voice signal passing through the framing unit, the fourier transforming unit is connected to the windowing unit, the fourier transforming unit is used for fourier transforming the voice signal passing through the windowing unit, the spectrogram forming unit is connected to the fourier transforming unit, the spectrogram forming unit is used for performing a modular squaring on the signal passing through the fourier transforming unit, obtaining a spectrogram, wherein the spectrogram conversion unit is connected with the spectrogram forming unit, the spectrogram conversion unit is used for converting the spectrogram into a Mel spectrogram through a Mel filter, the feature extraction module is connected with the audio conversion module, the feature extraction module is used for extracting features of the Mel spectrogram through a trained residual error network model, the recognition module is connected with the feature extraction module, and the recognition module is used for classifying and recognizing the features extracted by the feature extraction module through a random forest classifier; the data comparison unit is used for comparing each parameter stored in the cache unit with a parameter preset value corresponding to each parameter, and sending a control signal to a corresponding module according to a comparison result.
In the scheme, the human-computer interaction module comprises an alarm unit, a display unit and an indication unit, the alarm unit comprises a bicolor LED lamp and a voice broadcast device, the bicolor LED lamp is used for indicating whether bait in a bait box is sufficient, the voice broadcast device is used for broadcasting insufficient bait information and mouse killing information, the display unit displays mouse trapping information through an LCD touch display screen and sends touch operation instructions of a user to the control module, and the indication unit comprises a plurality of monochromatic LED indication lamps to indicate the working condition of each module.
In the above scheme, the trapping module comprises a driving unit and a killing unit, the driving unit is connected with the killing unit, the driving unit is used for driving the killing unit to kill rats, the driving unit comprises a gate driving motor and a silicon controlled trigger circuit, and the killing unit comprises a high-voltage device.
In conclusion, the beneficial effects of the invention are as follows: video image information, voice information, environmental information, mouse information and mouse bait information of a detection area are acquired through the detection module, the acquired mouse image information and voice information are identified through the control module, the accuracy of mouse identification can be improved, the probability of mistaken killing is reduced, meanwhile, the detection information is remotely acquired through the intelligent terminal module, and manpower is saved.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this application, illustrate embodiments of the invention and, together with the description, serve to explain the invention and not to limit the invention.
Fig. 1 is a schematic composition diagram of the intelligent mousetrap.
Fig. 2 is a schematic diagram of the detection module.
Fig. 3 is a schematic composition diagram of a sensor unit.
Fig. 4 is a schematic composition diagram of a bait detection unit.
Fig. 5 is a schematic diagram of the composition of the video capture unit.
Fig. 6 is a schematic diagram of the components of the voice acquisition unit.
Fig. 7 is a schematic diagram of the control module.
FIG. 8 is a schematic diagram showing the composition of an analysis and comparison unit.
Fig. 9 is a schematic diagram of the composition of the video pre-processing unit.
Fig. 10 is a schematic diagram of the composition of the image recognition unit.
Fig. 11 is a schematic diagram of the composition of the audio recognition unit.
Fig. 12 is a schematic diagram of the audio conversion module.
FIG. 13 is a schematic diagram of the components of the human interaction module.
Figure 14 is a schematic composition diagram of a trap module.
Fig. 15 is a schematic structural view of the intelligent mousetrap of the invention.
List of reference numerals: the induction receiving head 1, the induction transmitting head 2 and the disposable bait box 3.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be described in further detail with reference to the following embodiments and accompanying drawings. The exemplary embodiments and descriptions of the present invention are provided to explain the present invention, but not to limit the present invention.
As shown in fig. 1, the intelligent mousetrap of the invention comprises a detection module, a control module, a human-computer interaction module, a trapping module, a data transmission module and an intelligent terminal module.
The connection relationship between the above modules of the present invention will be further described in detail with reference to the accompanying drawings.
Further, the detection module is used for acquiring video image information, voice information, environment information, mouse information and mouse bait information of a detection area; the control module is connected with the detection module, the human-computer interaction module and the trapping module are both connected with the control module, and the control module is used for processing the information detected by the detection module and then controlling the human-computer interaction module and the trapping module to work; the man-machine interaction module is used for sending an alarm signal under the control of the control module, sending operation instruction information of a user to the control module and then receiving receipt information sent by the control module; the trapping module is used for trapping mice in the detection area under the control of the control module; the intelligent terminal module is communicated with the control module through the data transmission module, and the intelligent terminal module is used for remotely acquiring mouse trapping information by a user and sending a remote control instruction to the control module.
In this embodiment, the data transmission module includes one or more of a WIFI communication unit, a 4G communication unit, and a 5G communication unit.
In this embodiment, the intelligent terminal module includes one or more of a smart phone, an iPad, a notebook computer, and the like.
As shown in fig. 2 and 3, the detection module includes a sensor unit including a bio-sensing module and an environmental information collection module, the bio-sensing module acquires bio-information and distance information of a detection area through a plurality of infrared sensing receivers; the environment information acquisition module comprises an air quality sensor, a temperature and humidity sensor and a brightness sensor, the air quality sensor is used for acquiring air quality information of a detection area, the temperature and humidity sensor is used for acquiring environment temperature and humidity information of the detection area, and the brightness sensor is used for acquiring environment brightness information of the detection area.
As shown in fig. 2 and 4, detection module still includes bait detecting element, bait detecting element includes material level detector, a weighing sensor and miniature camera head, material level detector is arranged in acquireing the surplus information of bait in the bait box, a weighing sensor is arranged in acquireing the weight information of bait in the bait box, miniature camera head is arranged in the environment and acquires the image information of bait in the bait box.
As shown in fig. 2 and 5, detection module still includes video acquisition unit and mouse weight detecting element, the video acquisition unit includes rotatable infrared camera, step motor and relay, step motor with the relay all with rotatable infrared camera is connected, rotatable infrared camera is used for gathering detection area's video information, step motor is used for the drive rotatable infrared camera rotates, the relay is used for control rotatable infrared camera open and close, mouse weight detecting element acquires the weight information of mouse through setting up the second weight sensor in bait box the place ahead.
As shown in fig. 2 and 6, the detection module further includes a voice collection unit, the voice collection unit is used for collecting sounds emitted by the mouse, the voice collection unit includes an audio collection module and a preprocessing module, the audio collection module obtains audio information of the detection area through a plurality of omnidirectional microphones, the preprocessing module is connected with the audio collection module, the preprocessing module includes an audio filter and an audio signal amplifier, the audio filter is used for filtering the audio information collected by the omnidirectional microphones, the audio signal amplifier is connected with the audio filter, and the audio signal amplifier is used for amplifying the audio signal processed by the audio filter.
As shown in fig. 7, the control module includes a cache unit and an analysis and comparison unit, the cache unit is configured to store the information sent by the detection module, the preset value information of each parameter, the image database, and the audio database, the analysis and comparison unit is connected to the cache unit, and the analysis and comparison unit is configured to analyze and compare the information stored in the storage unit.
As shown in fig. 8 to 10, the analyzing and comparing unit includes a video preprocessing unit and an image recognizing unit, the video preprocessing unit includes a video converting module, a denoising module, a color recognizing module and a graying module, the video converting module is configured to convert video information of a detection region acquired by the detecting module into an image frame, the denoising module is connected to the video converting module, the denoising module is configured to suppress noise of the image frame processed by the video converting module through a median filtering algorithm, the color recognizing module is connected to the denoising module, the color recognizing module is configured to detect color of the image processed by the denoising module, the graying module is connected to the color recognizing module, and the graying module is configured to detect the color of the image processed by the denoising module when the image detected by the color recognizing module is an RGB model image, carrying out graying processing on the image; the image recognition unit is connected with the video preprocessing unit and comprises a feature extraction module and a feature matching module, the feature extraction module is used for extracting features of images obtained after the images are processed by the video preprocessing unit by calling a feature extraction algorithm of an OpenCV (open content library) library, the feature matching module is connected with the feature extraction module, the feature matching module is used for performing feature matching on feature information extracted by the feature extraction module and feature information of the image database through a deep learning algorithm to obtain a matching rate, and an image recognition result is obtained according to the matching rate.
As shown in fig. 11 and 12, the analysis and comparison unit further includes an audio recognition unit and a data comparison unit, the audio recognition unit includes an audio conversion module, a feature extraction module and a recognition module, the audio conversion module includes a framing unit, a windowing unit, a fourier transform unit, a spectrogram forming unit and a spectrogram conversion unit, the framing unit is used for framing the voice information stored in the buffer unit, the windowing unit is connected to the framing unit, the windowing unit is used for windowing the voice signal passing through the framing unit, the fourier transform unit is connected to the windowing unit, the fourier transform unit is used for fourier transforming the voice signal passing through the windowing unit, the spectrogram forming unit is connected to the fourier transform unit, the spectrogram forming unit is used for performing a modulo square on the signal passing through the fourier transform unit, obtaining a spectrogram, wherein the spectrogram conversion unit is connected with the spectrogram forming unit, the spectrogram conversion unit is used for converting the spectrogram into a Mel spectrogram through a Mel filter, the feature extraction module is connected with the audio conversion module, the feature extraction module is used for extracting features of the Mel spectrogram through a trained residual error network model, the recognition module is connected with the feature extraction module, and the recognition module is used for classifying and recognizing the features extracted by the feature extraction module through a random forest classifier; the data comparison unit is used for comparing each parameter stored in the cache unit with a parameter preset value corresponding to each parameter, and sending a control signal to a corresponding module according to a comparison result.
In this embodiment, the control module, according to the recognition results of the image recognition unit and the audio recognition unit, according to the following formula: obtaining a final recognition result by using the sum of S and aI + bV, wherein S is the final matching rate of the detected mouse and a certain mouse, I is the matching rate obtained by the image recognition unit, and V is the matching rate obtained by the audio recognition unit; when the final matching rate is higher than the preset value, the control module judges that the detected mice belong to a certain mouse, so that the mouse identification accuracy is improved.
As shown in fig. 13, the human-computer interaction module includes alarm unit, display element and indicating unit, alarm unit includes double-colored LED lamp and voice broadcast ware, whether the bait in the double-colored LED lamp is used for instructing the bait box is sufficient, voice broadcast ware is used for broadcasting bait shortage information and mouse information of killing, display element shows the information of mousing and sends user's touch operation instruction to through LCD touch display screen control module, indicating unit includes a plurality of monochromatic LED pilot lamps and indicates the behavior of each module.
In this embodiment, the dual-color LED lamp displays green when the bait in the bait box is sufficient, and displays red when the bait in the bait box is less than a preset value; the single color LED indicator lights indicating the respective modules are turned on when the module indicated by them is operated and turned off when the module indicated by them is not operated.
In this embodiment, the control module forms an air quality-rat number curve, a temperature and humidity-rat number curve and a brightness-rat number curve respectively according to the environment information and the number of rats detected within a period of time, and displays the curves by displaying the LCD touch display screen or the intelligent terminal module, so that a user can make accurate prejudgment and preparation for rat damage prevention and control according to the environment and the rat information.
As shown in fig. 14, the trap module includes a driving unit and a killing unit, the driving unit is connected to the killing unit, the driving unit is used for driving the killing unit to kill rats, the driving unit includes a gate driving motor and a silicon controlled trigger circuit, and the killing unit includes a high voltage device.
As shown in fig. 15, the intelligent mousetrap is made of an easily anticorrosive material, and comprises an induction receiving head 1, an induction emitting head 2 and a disposable bait box 3, wherein the disposable bait box 3 is used for placing mouse bait and attracting mice, 1 miniature camera is arranged behind the bait box and can shoot the feed condition in the bait box, 4 induction receiving heads 1 and 4 induction emitting heads 2 are respectively arranged at two sides of a passage of the mouse box, when infrared induction receivers at two sides of the passage sense that objects enter the mouse box, the control module controls the rotatable infrared camera to start the shooting function, in addition, the control module controls inlets at two sides to be closed to prevent the objects in the mouse box from escaping, and if the camera identifies that the objects are non-mice, the control module controls inlets at two sides to be opened to prevent other non-mouse organisms from being killed by mistake, the other 4 sets up in the passageway middle part for statistics mouse quantity, and weight sensor is installed to the passageway bottom directly in front of disposable bait box, can accurately weigh mouse weight, through with this weight conveying to control module, control module passes through the data comparing unit and compares mouse weight and mouse weight default, can judge whether mouse is pregnant, and further the accurate mouse information of collecting is killed for utilizing high pressure to kill rats, the high voltage device is installed to the bottom of passageway, still installs by silicon controlled rectifier trigger circuit in the mouse box, can pass through high voltage device and shock by the electric shock to the mouse.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the present invention, and various modifications and changes may be made to the embodiment of the present invention by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. The utility model provides an intelligence treasured that kills rats which characterized in that includes: the system comprises a detection module, a control module, a man-machine interaction module, a trapping module, a data transmission module and an intelligent terminal module;
the detection module is used for acquiring video image information, voice information, environment information, mouse information and mouse bait information of a detection area;
the control module is connected with the detection module, the human-computer interaction module and the trapping module are both connected with the control module, and the control module is used for processing the information detected by the detection module and then controlling the human-computer interaction module and the trapping module to work;
the man-machine interaction module is used for sending an alarm signal under the control of the control module, sending operation instruction information of a user to the control module and then receiving receipt information sent by the control module;
the trapping module is used for trapping mice in the detection area under the control of the control module;
the intelligent terminal module is communicated with the control module through the data transmission module, and the intelligent terminal module is used for remotely acquiring mouse trapping information by a user and sending a remote control instruction to the control module.
2. The intelligent mousetrap according to claim 1, wherein the detection module comprises a sensor unit, the sensor unit comprises a biosensing module and an environmental information acquisition module, and the biosensing module acquires biological information and distance information of a detection area through a plurality of infrared induction receivers; the environment information acquisition module comprises an air quality sensor, a temperature and humidity sensor and a brightness sensor, the air quality sensor is used for acquiring air quality information of a detection area, the temperature and humidity sensor is used for acquiring environment temperature and humidity information of the detection area, and the brightness sensor is used for acquiring environment brightness information of the detection area.
3. The intelligent mousetrap of claim 2, wherein the detection module further comprises a bait detection unit, wherein the bait detection unit comprises a material level detector, a first weight sensor and a miniature camera, the material level detector is used for acquiring residual amount information of bait in the bait box, the first weight sensor is used for acquiring weight information of the bait in the bait box, and the miniature camera is used for environment acquisition of image information of the bait in the bait box.
4. The intelligent mousetrap of claim 3, wherein the detection module further comprises a video acquisition unit and a mouse weight detection unit, the video acquisition unit comprises a rotatable infrared camera, a stepping motor and a relay, the stepping motor and the relay are both connected with the rotatable infrared camera, the rotatable infrared camera is used for acquiring video information of a detection area, the stepping motor is used for driving the rotatable infrared camera to rotate, the relay is used for controlling the rotatable infrared camera to be opened and closed, and the mouse weight detection unit acquires the weight information of a mouse through a second weight sensor arranged in front of the bait box.
5. The intelligent mousetrap of claim 4, wherein the detection module further comprises a voice collection unit, the voice collection unit is configured to collect sounds made by a mouse, the voice collection unit comprises an audio collection module and a preprocessing module, the audio collection module obtains audio information of a detection area through a plurality of omnidirectional microphones, the preprocessing module is connected to the audio collection module, the preprocessing module comprises an audio filter and an audio signal amplifier, the audio filter is configured to filter the audio information collected by the omnidirectional microphones, the audio signal amplifier is connected to the audio filter, and the audio signal amplifier is configured to amplify the audio signal processed by the audio filter.
6. The intelligent mousetrap according to claim 1, wherein the control module comprises a cache unit and an analysis and comparison unit, the cache unit is configured to store the information sent by the detection module, the preset value information of each parameter, an image database and an audio database, the analysis and comparison unit is connected to the cache unit, and the analysis and comparison unit is configured to analyze and compare the information stored in the storage unit.
7. The intelligent mousetrap according to claim 6, wherein the analysis and comparison unit comprises a video preprocessing unit and an image recognition unit, the video preprocessing unit comprises a video conversion module, a denoising module, a color recognition module and a graying module, the video conversion module is used for converting video information of the detection area obtained by the detection module into an image frame, the denoising module is connected with the video conversion module, the denoising module is used for suppressing noise of the image frame processed by the video conversion module through a median filtering algorithm, the color recognition module is connected with the denoising module, the color recognition module is used for detecting color of the image processed by the denoising module, the graying module is connected with the color recognition module, and the graying module is used for detecting the image detected by the color recognition module when the image is an RGB model image, carrying out graying processing on the image; the image recognition unit is connected with the video preprocessing unit and comprises a feature extraction module and a feature matching module, the feature extraction module is used for extracting features of images obtained after the images are processed by the video preprocessing unit by calling a feature extraction algorithm of an OpenCV (open content library) library, the feature matching module is connected with the feature extraction module, the feature matching module is used for performing feature matching on feature information extracted by the feature extraction module and feature information of the image database through a deep learning algorithm to obtain a matching rate, and an image recognition result is obtained according to the matching rate.
8. The intelligent mousetrap of claim 7, wherein the analysis and comparison unit further comprises an audio recognition unit and a data comparison unit, the audio recognition unit comprises an audio conversion module, a feature extraction module and a recognition module, the audio conversion module comprises a framing unit, a windowing unit, a Fourier transform unit, a spectrogram forming unit and a spectrogram conversion unit, the framing unit is used for framing the voice information stored in the cache unit, the windowing unit is connected with the framing unit, the windowing unit is used for windowing the voice signal passing through the framing unit, the Fourier transform unit is connected with the windowing unit, the Fourier transform unit is used for Fourier transforming the voice signal passing through the windowing unit, and the spectrogram forming unit is connected with the Fourier transform unit, the spectrogram forming unit is used for performing modulus squaring on the signal passing through the Fourier transform unit to obtain a spectrogram, the spectrogram conversion unit is connected with the spectrogram forming unit and is used for converting the spectrogram into a Mel spectrogram through a Mel filter, the feature extraction module is connected with the audio conversion module and is used for performing feature extraction on the Mel spectrogram through a trained residual error network model, the recognition module is connected with the feature extraction module and is used for classifying and recognizing the features extracted by the feature extraction module through a random forest classifier; the data comparison unit is used for comparing each parameter stored in the cache unit with a parameter preset value corresponding to each parameter, and sending a control signal to a corresponding module according to a comparison result.
9. The intelligent mousetrap of claim 1, wherein the human-computer interaction module comprises an alarm unit, a display unit and an indication unit, the alarm unit comprises a bicolor LED lamp and a voice broadcast device, the bicolor LED lamp is used for indicating whether bait in a bait box is sufficient or not, the voice broadcast device is used for broadcasting insufficient bait information and mouse catching and killing information, the display unit displays mouse trapping information through an LCD touch display screen and sends touch operation instructions of a user to the control module, and the indication unit comprises a plurality of monochromatic LED indication lamps to indicate the working conditions of the modules.
10. The intelligent mousetrap of claim 1, wherein the trapping module comprises a driving unit and a killing unit, the driving unit is connected with the killing unit and is used for driving the killing unit to kill the mouse, the driving unit comprises a door driving motor and a silicon controlled trigger circuit, and the killing unit comprises a high-voltage device.
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| CN111387170A (en) * | 2020-03-05 | 2020-07-10 | 中国地质大学（武汉） | Intelligent inspection mouse trapping robot device |
| CN111866455A (en) * | 2020-07-03 | 2020-10-30 | 山东科技大学 | Intelligent electronic sensing device |
| CN112189656A (en) * | 2020-09-19 | 2021-01-08 | 庾舜 | Intelligent mouse blocking board for internet of things |
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| CN118020749A (en) * | 2024-04-09 | 2024-05-14 | 深圳市纬信科技有限公司 | Rat repelling method and system based on sensor data analysis |
| CN118020749B (en) * | 2024-04-09 | 2024-06-07 | 深圳市纬信科技有限公司 | Rat repelling method and system based on sensor data analysis |
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