An infrared camera mammal automatic identification method based on 4G network transmission

Abstract

The application discloses an infrared camera mammal automatic identification method based on 4G network transmission, which is applied to an automatic identification system, and the automatic identification system comprises a collection module, a data processing module, a mammal database and a non-mammal database. The animal image data of a specified monitoring area is collected through the collection module, the animal image data is matched and analyzed with the data features in the mammal database, the identification classification result data is obtained, and the identification classification result data is saved to the mammal database or the non-mammal database, so that the manpower cost and the time cost are effectively reduced, the biological activity, the species category and the quantity of a fixed position area in the wild can be monitored in real time, and the application and popularization of the biodiversity protection are facilitated.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of biological monitoring, in particular to an infrared camera mammal automatic identification method based on 4G network transmission. BACKGROUND

[0002] Biodiversity conservation is the only way to achieve human sustainable development, among which mammal species are rich and involve a wide range, and their survival state is closely related to the habitat environment. As an important biological group indicating ecological environment in the field of biodiversity conservation, its protection work has been continuously carried out throughout the country. At present, field mammal monitoring is a time-consuming and laborious work, which generally adopts the ways of tracking mammal traces, fixed-point waiting and infrared photo manual interpretation. This kind of way is low in efficiency and high in labor intensity. With the development of artificial intelligence technology and the growth of biodiversity conservation demand, deep learning has many application cases in the field of biodiversity conservation monitoring. Therefore, we propose an infrared camera mammal automatic identification method based on 4G network transmission, which is excellent in efficiency compared with traditional manual interpretation, classification and recording, liberates manpower and material resources, and has a wide range of monitoring application scenarios. SUMMARY

[0003] The present application aims to provide an infrared camera mammal automatic identification method based on 4G network transmission to solve the problems in the background art.

[0004] To achieve the above-mentioned purpose, the present application provides the following technical scheme:

[0005] An infrared camera mammal automatic identification method based on 4G network transmission, the method is applied to an automatic identification system, the automatic identification system comprises a collection module, a data processing module, a mammal database and a non-mammal database; wherein the method comprises the following steps:

[0006] S1: when an animal enters a monitoring area, triggering the collection module, collecting animal image data of the monitoring area through the collection module, and sending the animal image data to the data processing module;

[0007] S2: the data processing module matches and analyzes the received animal image data with the data characteristics in the mammal database to obtain identification classification result data;

[0008] S3: if the identification classification result data is a mammal, the animal infrared image data is labeled and described and stored in the mammal database, and if the identification classification result data is a non-mammal, the animal infrared image data is stored in the non-mammal database.

[0009] Further improvement lies in that the establishing step of the mammal database comprises the following steps:

[0010] (1) Data preprocessing

[0011] The collected mammal picture resources are subjected to data annotation and verification to obtain mammal species verification data, and the mammal species verification data is subjected to augmentation processing and data division, wherein the data division specifically comprises dividing the mammal species verification data into a training set, a test set and a verification set at a corresponding ratio;

[0012] (2) Mammal detection and recognition model construction

[0013] The training set is input into a training model for batch training, and the training model is saved once every 2 batches and stored on a storage medium, wherein the training model is a Swim transformer model;

[0014] The verification set is input into the training model derived after all batch training to optimize the parameters of the network layer, obtain a loss function minimum recognition model and store it on a storage medium;

[0015] The verification set is input into the loss function minimum recognition model to obtain a mammal detection and recognition model with optimal precision and store it on a storage medium, thereby obtaining a mammal database.

[0016] Further improvement lies in that the augmentation processing comprises at least one of the following:

[0017] A. Rotating the images in the training set, test set and verification set by an angle, cutting the images, and transforming the colors of the images.

[0018] B. Normalizing the picture resources in the training set, test set and verification set, and adjusting the images in the training set, test set and verification set to the same size.

[0019] Further improvement lies in that the acquisition module comprises an infrared monitoring device main body; wherein,

[0020] The infrared monitoring device main body comprises a lens part, and the infrared monitoring device main body is provided with a gas supply part and a jet cleaning part, the jet cleaning part comprises a gas outlet part and a driving part, the gas outlet part is cleaned by the gas supplied by the gas supply part, and the driving part drives the gas outlet part to move relative to the lens part by the gas supplied by the gas supply part.

[0021] Further improvement lies in that the air supply part comprises an air inlet shell arranged on the main body of the infrared monitoring device, a shaft body is arranged in the air inlet shell, a blade wheel one is arranged at one end of the shaft body outside the air inlet shell, and a wind guide fan blade is arranged at one end of the shaft body inside the air inlet shell, a plurality of one-way air inlet pipes and one-way air outlet hoses are arranged on the outer wall of the air inlet shell, and the other end of the one-way air outlet hose is communicated with the input end of the air outlet part.

[0022] Further improvement lies in that the air outlet part comprises a jet seat which is slidably arranged on the main body of the infrared monitoring device, the jet seat comprises an air inlet and an air outlet, the air inlet of the jet seat is communicated with the one-way air outlet hose, the air outlet of the jet seat is provided with an air outlet nozzle in communication, the air outlet nozzle extends in a direction perpendicular to the axis of the lens part, the air outlet nozzle is located outside the lens part, the air outlet nozzle is rectangular in cross section, and the side wall surface inside the air outlet nozzle towards the end of the lens part is parallel to and in the same horizontal plane as the side end surface of the lens part away from the main body of the infrared monitoring device.

[0023] Further improvement lies in that the air inlet shell is provided with a pressure sensor for detecting the air pressure inside the air inlet shell, and the one-way air outlet hose is provided with an electromagnetic valve, the pressure sensor receives the air pressure signal inside the air inlet shell and transmits it to the external control module, and the electromagnetic valve is driven to work by the external control module.

[0024] Further improvement lies in that the driving part comprises a guide rail, a sliding block, a spring, a blade wheel two, a toothless gear and a rack, the guide rail is arranged on the main body of the infrared monitoring device, one end of the sliding block is connected with the jet seat and the other end is arranged in the guide rail, the sliding block and the inner wall of one side of the guide rail are provided with the spring, the blade wheel two is arranged in the jet seat and is driven to rotate by the gas entering the jet seat, the toothless gear is sleeved on one end of the shaft body of the blade wheel two and located outside the jet seat, and the rack is arranged on one side of the guide rail and engaged with the toothless gear, when the toothless gear rotates, the sliding block is driven to move along the guide rail by cooperation with the rack.

[0025] Further improvement lies in that one end of one of the plurality of one-way air inlet pipes away from the air inlet shell is communicated with the inner cavity of the main body of the infrared monitoring device, and the outer wall of the main body of the infrared monitoring device is provided with an air inlet hole.

[0026] Further improvement lies in that the top of the air inlet shell is provided with a cylindrical filter screen, the cylindrical filter screen is arranged outside the blade wheel one, the shaft body penetrates through the cylindrical filter screen at one end outside the air inlet shell and is sleeved with a cleaning part, the cleaning part is L-shaped in vertical cross section and is used for cleaning the outer wall of the cylindrical filter screen with the shaft body rotating.

[0027] Compared with the prior art, the present application has the following beneficial effects:

[0028] (1) The present application acquires the animal image data of the specified monitoring area through the acquisition module, and matches and analyzes the animal image data with the data characteristics in the mammal database to obtain the identification classification result data, and saves to the mammal database or non-mammal database according to the identification classification result data, effectively reduces the labor cost and time cost, can monitor the biological activity, species category and quantity of the fixed position area in the wild in real time, and is beneficial to the application and popularization of biodiversity protection;

[0029] (2) The present application acquires the animal image data of the specified monitoring area through the infrared monitoring equipment main body in the acquisition module, and is provided with a gas supply part and a jet cleaning part on the infrared monitoring equipment main body, in the use process, the gas supply part can be driven by external wind flow to supply gas with certain pressure into the air outlet part of the jet cleaning part, the gas sprayed through the air outlet part impacts the lens part wall, on the one hand, avoids the residual dust on the lens part affecting the image quality collected by the infrared monitoring equipment main body, on the other hand, will not cause the lens part to be blocked and affect the image collection of the infrared monitoring equipment main body, at the same time, the air outlet part makes the driving part drive the air outlet part to move when spraying gas, ensures the cleaning range of the lens part. BRIEF DESCRIPTION OF DRAWINGS

[0030] Figure 1 It is a structural schematic diagram of the present application;

[0031] Figure 2 It is another perspective structural schematic diagram of the present application;

[0032] Figure 3 It is a structural schematic diagram of the present application Figure 1 Structure front view;

[0033] Figure 4 It is a structural schematic diagram of the present application Figure 3 Structure A-A structure schematic diagram;

[0034] Figure 5 It is a guide rail structure schematic diagram in the present application;

[0035] Figure 6 It is a jet seat structure sectional view in the present application.

[0036] In the figure: 1, infrared monitoring equipment main body; 101, lens part; 2, air inlet shell; 3, impeller one; 4, wind guide fan blade; 5, pressure sensor; 6, one-way air outlet hose; 7, jet seat; 8, air outlet nozzle; 9, guide rail; 10, sliding block; 11, impeller two; 12, toothless gear; 13, rack; 14, one-way air inlet pipe; 15, cylindrical filter screen; 16, cleaning part. DETAILED DESCRIPTION

[0037] With reference to the accompanying drawings, the technical solutions in the embodiments of the present application will be clearly and completely described below, obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative work belong to the scope of protection of the present application.

[0038] Embodiment 1

[0039] The mammal automatic identification method based on 4G network transmission is applied to an automatic identification system, and the automatic identification system comprises a collection module, a data processing module, a mammal database and a non-mammal database. The collection module is used for collecting animal image data of a specified monitoring area and sending the animal image data to the data processing module. The data processing module is connected with the collection module through a 4G network. The mammal database is used for storing mammal data. The method comprises the following steps.

[0040] S1: when an animal enters a monitoring area, triggering the collection module, collecting animal image data of the monitoring area through the collection module, and sending the animal image data to the data processing module;

[0041] S2: the data processing module matches and analyzes the received animal image data with data characteristics in the mammal database to obtain identification classification result data;

[0042] S3: if the identification classification result data is a mammal, then storing the animal infrared image data into the mammal database after labeling and describing the animal infrared image data; if the identification classification result data is a non-mammal, then storing the animal infrared image data into the non-mammal database. Specifically, if there is a mammal life in the animal infrared image data, then labeling the position of the species appearing in the picture with a red matrix frame, a gray bottom white text description directly in the picture, and storing the picture processed by identification in a specified path of the mammal database; processing continuous frames of the video and labeling the position of the species appearing in the video resource with a red matrix frame, describing the category with a gray bottom white text, and storing the identification classification result, the file path of the picture / video resource processed by identification into the mammal database. If there is no mammal life in the animal infrared image data, then transmitting the collected animal infrared image data to the non-mammal database for saving, for manual review.

[0043] Preferably, the establishing step of the mammal database of the embodiment comprises the following steps:

[0044] (1) data preprocessing

[0045] The collected mammal picture resources are data labeled and checked, and mammal species checking data is obtained. The mammal species checking data is augmented and divided. The data division is specifically dividing the mammal species checking data into a training set, a test set and a verification set in a corresponding proportion. Specifically, the data labeling and checking method of the collected mammal picture resources is as follows: an organization personnel carries out data labeling work on mammal picture resources taken during biodiversity investigation and website species picture resources; selects picture resources with a prominent species subject and obvious species individual characteristics in the picture, and stores the picture resources according to species, and checks the classified data; the checked picture of each group species is data labeled in a coco data set format; more specifically, the mammal animals data labeled and checked include 84 mammal animals such as koodoo, roe deer, rock goat, hog badger, nilgai, Asian badger, grass rabbit, sambar, sika, small bubble giant mouse, red fox, needle mouse, Himalayan marmot, north goat, argali, Mus musculus, Rattus norvegicus, Mongolian wild horse and the like.

[0046] (2) Mammal detection and recognition model construction

[0047] The training set is input into the training model for batch training. The training model is saved once every 2 batches and stored on the storage medium.

[0048] The verification set is input into the training model derived after all batch training to optimize the network layer parameters, obtain the loss function minimum recognition model and store it on the storage medium.

[0049] The verification set is input into the loss function minimum recognition model to obtain the precision optimal mammal detection and recognition model and store it on the storage medium, thereby obtaining the mammal database.

[0050] As preferred, the augmentation processing of the embodiment includes at least one of the following:

[0051] A. The training set, the test set and the verification set are subjected to image angle rotation, image cutting and image color transformation, so as to obtain a data set with one more richness;

[0052] B. The training set, the test set and the verification set picture resources are normalized, and the images in the training set, the test set and the verification set are adjusted to the same size, so as to obtain the optimal recognition classification effect.

[0053] Please refer to Figure 1As preferred, the collecting module of the embodiment comprises an infrared monitoring device body 1, and specifically, the infrared monitoring device body 1 is an infrared trigger type photographing and video recording device. The infrared monitoring device body 1 is installed in a designated area for monitoring the area. When an animal enters the monitoring area, real-time infrared picture resources and video resources are automatically acquired. Specifically, when an animal enters the monitoring area, one or more living beings are allowed to exist. The infrared monitoring device body 1 is triggered and acquires a set of continuous infrared pictures and video resources within 0.5 seconds. More specifically, in the embodiment, the infrared monitoring device body 1 can be installed in a certain city national nature reserve. In combination with previous investigation materials and animal activity traces left on the spot, the installation area is determined. The infrared monitoring device is installed at a position 1.5 m away from the surface in the area. The infrared trigger visual angle area coincides with the monitoring area.

[0054] The infrared monitoring device body 1 comprises a lens part 101, which belongs to the conventional structure of the infrared monitoring device body 1 and will not be described in detail here. The infrared monitoring device body 1 is provided with a gas supply part and a gas jet cleaning part. As shown in the attached Figures 1-2 As can be seen, the gas jet cleaning part is provided with at least two groups. The gas jet cleaning part comprises a gas outlet part and a driving part. The gas outlet part is cleaned by the gas supplied by the gas supply part. The driving part is driven by the gas supplied by the gas supply part to move the gas outlet part relative to the lens part 101. The gas outlet part is moved relative to the lens part 101 by the gas supplied by the gas supply part, and the lens part 101 is cleaned by the jet gas to avoid the dust adhered to the outer wall of the end of the lens part 101 from affecting the collection quality of the infrared monitoring device body 1, while not interfering with the collection work of the infrared monitoring device body 1.

[0055] Please refer to Figures 2-4 As preferred, the gas supply part of the embodiment comprises an air inlet shell 2 arranged on the infrared monitoring device body 1. The air inlet shell 2 is of a closed structure for storing gas. The air inlet shell 2 is provided with a shaft body. The connection between the shaft body and the air inlet shell 2 can adopt a bearing connection. One end of the shaft body located outside the air inlet shell 2 is provided with an impeller 3, and the other end located inside the air inlet shell 2 is provided with a guide fan blade 4. The outer wall of the air inlet shell 2 is provided with a plurality of one-way air inlet tubes 14 and one-way air outlet hoses 6. The other end of the one-way air outlet hose 6 is in communication with the input end of the gas outlet part. The one-way air inlet tube 14 allows the external gas to enter the air inlet shell 2. The gas in the air inlet shell 2 cannot be discharged from the one-way air inlet tube 14. The one-way air outlet hose 6 allows the gas in the air inlet shell 2 to be discharged without backflow. The one-way air inlet tube 14 or the one-way air outlet hose 6 comprises a tube body and a one-way valve, for example.

[0056] Preferably, the air outlet of this embodiment includes a jet seat 7 slidably mounted on the main body 1 of the infrared monitoring device. The jet seat 7 includes an air inlet and an air outlet. The air inlet of the jet seat 7 is connected to a one-way air outlet hose 6, and the air outlet of the jet seat 7 is provided with a connected air outlet nozzle 8. Gas enters the jet seat 7 from the one-way air outlet hose 6 and is ejected from the air outlet nozzle 8. The air outlet nozzle 8 extends in a direction perpendicular to the axis of the lens part 101 and is located on the outside of the lens part 101. The air outlet nozzle 8 ejects gas from the outside of the lens part 101 to clean the outer wall of the end of the lens part 101. The air outlet 8 has a rectangular cross-section, and the side wall of the air outlet 8 facing the end of the lens part 101 is parallel to and on the same horizontal plane as the side end of the lens part 101 away from the infrared monitoring device body 1. This arrangement makes the gas ejected from the air outlet 8 on the same plane as the outer wall of the end of the lens part 101, increasing the impact strength of the gas on dust and other particles on the outer wall of the end of the lens part 101, thereby improving the cleaning quality of the lens part 101.

[0057] Preferably, the air inlet housing 2 in this embodiment is equipped with a pressure sensor 5 for detecting the internal air pressure. The pressure sensor 5 can be a GPS-BTA gas pressure sensor, but it is not limited to this model. A solenoid valve is installed inside the one-way air outlet hose 6. The pressure sensor 5 receives the internal air pressure signal of the air inlet housing 2 and transmits it to the external control module. The external control module drives the solenoid valve to operate. The pressure sensor 5 detects the internal air pressure of the air inlet housing 2, and only when the internal air pressure reaches a preset threshold is a signal sent to the external control module. The external control module then drives the solenoid valve to open and discharge gas, ensuring that the gas ejected from the air outlet 8 has sufficient impact force, thereby ensuring the cleaning quality of the gas impact cleaning lens section 101. For example, the external control module is a PLC controller.

[0058] Please refer to 5-6. Preferably, the drive unit in this embodiment includes a guide rail 9, a slider 10, a spring, an impeller 11, a toothed gear 12, and a rack 13. The guide rail 9 is mounted on the main body 1 of the infrared monitoring device. Figure 1 As can be seen, the guide rail 9 is located on one side of the lens section 101, and the guide rail 9 is parallel to the diameter of one side of the lens section 101. One end of the slider 10 is connected to the jet seat 7, and the other end is placed inside the guide rail 9. A spring (not shown in the figure) is provided on the inner wall of one side of the slider 10 and the guide rail 9 to drive the slider 10 to return to its original position. The impeller 11 is located inside the jet seat 7 and is driven to rotate by the gas entering the jet seat 7. The impeller 11 corresponds to the air inlet of the jet seat 7. The toothed gear 12 is sleeved on one end of the shaft (impeller shaft) of the impeller 11 and is located outside the jet seat 7. The rack 13 is located on one side of the guide rail 9 and meshes with the toothed gear 12. When the toothed gear 12 rotates, it cooperates with the rack 13 to drive the slider 10 to move along the guide rail 9.

[0059] As preferred, one group of the one-way air inlet pipes 14 of the embodiment is communicated with the inner cavity of the infrared monitoring device body 1 at the end away from the air inlet shell 2, and the outer wall of the infrared monitoring device body 1 is provided with an air inlet hole. The infrared monitoring device body 1 is cooled through the air inlet hole during normal use, and the one-way air inlet pipe 14 is communicated with the air inlet shell 2, so that the heat in the infrared monitoring device body 1 can be sucked into the air inlet shell 2, which plays a role in assisting the infrared monitoring device body 1 to cool, and the gas sprayed from the air outlet nozzle 8 has a temperature, which can remove the water vapor on the outer wall of the lens part 101 in winter.

[0060] As preferred, the top of the air inlet shell 2 of the embodiment is provided with a cylindrical filter screen 15, the cylindrical filter screen 15 is covered outside the impeller 3, one end of the shaft body outside the air inlet shell 2 penetrates the cylindrical filter screen 15 and is sleeved with a cleaning part 16, the cleaning part 16 is L-shaped in vertical section, and is used to clean the cylindrical filter screen 15 with the rotation of the shaft body. The wind flow is filtered by the cylindrical filter screen 15 when the wind flow blows the impeller 3, so as to avoid the damage of the impeller 3 caused by the residual dust and particles in the wind flow. When the impeller 3 rotates, the cleaning part 16 rotates around the cylindrical filter screen 15 to clean the outer wall of the cylindrical filter screen 15, so as to avoid the blockage of the cylindrical filter screen 15 and ensure the stable entry and exit of the external wind flow to drive the impeller 3 to rotate.

[0061] Although the embodiments of the present application have been shown and described, it is to be understood that various changes, modifications, substitutions and alterations can be made to the embodiments without departing from the principles and spirit of the present application, and the scope of the present application is defined by the appended claims and their equivalents.

Claims

1. A method for automatically identifying mammals based on an infrared camera transmitted by a 4G network, characterized in that: The method is applied to an automatic identification system, and the automatic identification system comprises a collection module, a data processing module, a mammal database and a non-mammal database; wherein the method comprises the following steps: S1: when an animal enters a monitoring area, triggering the collection module, collecting animal image data of the monitoring area through the collection module, and sending the animal image data to the data processing module; S2: the data processing module matches and analyzes the received animal image data with the data features in the mammal database to obtain identification classification result data; S3: if the identification classification result data is a mammal, the animal infrared image data is labeled and described and stored in the mammal database, and if the identification classification result data is a non-mammal, the animal infrared image data is stored in the non-mammal database; The collection module comprises an infrared monitoring device main body (1); wherein, The infrared monitoring device main body (1) comprises a lens part (101), and the infrared monitoring device main body (1) is provided with a gas supply part and a jet cleaning part, the jet cleaning part comprises a gas outlet part and a driving part, the gas outlet part is cleaned by the gas supplied by the gas supply part, and the driving part is driven by the gas supplied by the gas supply part to move the gas outlet part relative to the lens part (101); The gas supply part comprises an air inlet shell (2) arranged on the infrared monitoring device main body (1), a plurality of one-way air inlet pipes (14) and one-way air outlet hoses (6) are arranged on the outer wall of the air inlet shell (2), and the other end of the one-way air outlet hose (6) is in communication with the input end of the gas outlet part; The gas outlet part comprises a jet seat (7) slidingly arranged on the infrared monitoring device main body (1), the jet seat (7) comprises an air inlet and an air outlet, the air inlet of the jet seat (7) is in communication with the one-way air outlet hose (6), the air outlet of the jet seat (7) is provided with a gas outlet nozzle (8) in communication, the gas outlet nozzle (8) extends in a direction perpendicular to the axis of the lens part (101), the gas outlet nozzle (8) is located outside the lens part (101), the cross section of the gas outlet nozzle (8) is rectangular, and the side wall surface of the gas outlet nozzle (8) facing the lens part (101) is parallel to and in the same horizontal plane as the side end surface of the lens part (101) away from the infrared monitoring device main body (1).

2. The method according to claim 1, wherein the method is based on a 4G network transmission. The establishment steps of the mammal database comprise the following steps: (1) data preprocessing The collected mammal picture resources are data labeled and approved to obtain mammal species approval data, the mammal species approval data is augmented and divided into data, and the data division is specifically dividing the mammal species approval data into a training set, a test set and a validation set in a corresponding proportion; (2) mammal detection and identification model construction The training set is input into a training model for batch training, and the training model is saved once every 2 batches and stored on a storage medium, wherein the training model is a Swim transformer model; The verification set is input into the trained model derived after all batch training to optimize the parameters of the network layer, to obtain a loss function minimum identification model and store it on a storage medium; The verification set is input into the loss function minimum identification model to obtain a mammal detection and identification model with optimal precision and store it on a storage medium, thereby obtaining a mammal database.

3. The method according to claim 2, wherein the method is based on a 4G network transmission. The augmentation processing includes at least one of the following: A. image angle rotation, image cutting, and image color transformation are performed on the training set, test set, and verification set; B. the training set, test set, and verification set are normalized, and the images in the training set, test set, and verification set are adjusted to the same size.

4. The method according to claim 1, wherein the method is characterized in that: An axle body is inserted into the air inlet shell (2), one end of the axle body located outside the air inlet shell (2) is provided with an impeller one (3), and the other end located inside the air inlet shell (2) is provided with a draft fan blade (4).

5. The method according to claim 4, wherein the method is based on a 4G network transmission. The air inlet shell (2) is provided with a pressure sensor (5) for detecting the air pressure inside the air inlet shell (2), and the one-way air outlet hose (6) is provided with an electromagnetic valve. The pressure sensor (5) receives the air pressure signal inside the air inlet shell (2) and transmits it to the external control module, which drives the electromagnetic valve to work.

6. The method according to claim 5, wherein the method is based on a 4G network transmission. The driving part includes a guide rail (9), a sliding block (10), a spring, an impeller two (11), a missing tooth gear (12), and a rack (13). The guide rail (9) is arranged on the infrared monitoring equipment main body (1). One end of the sliding block (10) is connected to the air jet seat (7), and the other end is arranged in the guide rail (9). The sliding block (10) and the inner wall of one side of the guide rail (9) are provided with a spring. The impeller two (11) is arranged in the air jet seat (7) and is driven to rotate by the gas entering the air jet seat (7). The missing tooth gear (12) is sleeved on one end of the shaft of the impeller two (11) and located outside the air jet seat (7). The rack (13) is arranged on one side of the guide rail (9) and meshes with the missing tooth gear (12). When the missing tooth gear (12) rotates, it cooperates with the rack (13) to drive the sliding block (10) to move along the guide rail (9).

7. The method according to claim 1, wherein the method is characterized by: One end of one group of the one-way air inlet pipes (14) away from the air inlet shell (2) is in communication with the inner cavity of the infrared monitoring equipment main body (1), and the outer wall of the infrared monitoring equipment main body (1) is provided with an air inlet hole.

8. The method according to claim 4, wherein the method is based on a 4G network transmission. The top of the air inlet shell (2) is provided with a cylindrical filter screen (15), the cylindrical filter screen (15) is arranged outside the impeller one (3), one end of the axle body located outside the air inlet shell (2) penetrates the cylindrical filter screen (15) and is sleeved with a cleaning part (16), and the vertical section of the cleaning part (16) is L-shaped, which is used for cleaning the outer wall of the cylindrical filter screen (15) with the axle body.

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