CN112653988B - Experimental animal behavioural research auxiliary system - Google Patents
Experimental animal behavioural research auxiliary system Download PDFInfo
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- CN112653988B CN112653988B CN202011325002.XA CN202011325002A CN112653988B CN 112653988 B CN112653988 B CN 112653988B CN 202011325002 A CN202011325002 A CN 202011325002A CN 112653988 B CN112653988 B CN 112653988B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/02—Services making use of location information
- H04W4/023—Services making use of location information using mutual or relative location information between multiple location based services [LBS] targets or of distance thresholds
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- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01K—ANIMAL HUSBANDRY; CARE OF BIRDS, FISHES, INSECTS; FISHING; REARING OR BREEDING ANIMALS, NOT OTHERWISE PROVIDED FOR; NEW BREEDS OF ANIMALS
- A01K29/00—Other apparatus for animal husbandry
- A01K29/005—Monitoring or measuring activity, e.g. detecting heat or mating
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/70—Information retrieval; Database structures therefor; File system structures therefor of video data
- G06F16/78—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
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- G06F16/7847—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content using low-level visual features of the video content
- G06F16/786—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content using low-level visual features of the video content using motion, e.g. object motion or camera motion
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/40—Scenes; Scene-specific elements in video content
- G06V20/41—Higher-level, semantic clustering, classification or understanding of video scenes, e.g. detection, labelling or Markovian modelling of sport events or news items
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/40—Scenes; Scene-specific elements in video content
- G06V20/46—Extracting features or characteristics from the video content, e.g. video fingerprints, representative shots or key frames
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/40—Scenes; Scene-specific elements in video content
- G06V20/49—Segmenting video sequences, i.e. computational techniques such as parsing or cutting the sequence, low-level clustering or determining units such as shots or scenes
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- G—PHYSICS
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- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/20—Movements or behaviour, e.g. gesture recognition
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/02—Services making use of location information
- H04W4/029—Location-based management or tracking services
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
Abstract
The invention discloses an experimental animal behavioural research auxiliary system, which comprises a plurality of trunk communication points and a plurality of branch node communication points, wherein the trunk communication points and the branch node communication points are arranged on a researched animal; the system also comprises more than three positioning communication base stations with fixed absolute positions, wherein the trunk communication points and the branch node communication points are electrically connected with the positioning communication base stations through radio, each trunk communication point, the plurality of branch node communication points and the positioning communication base stations have fixed id numbers, and the positioning communication base stations are used for sending polling request signals to each trunk communication point and each branch node communication point, receiving return signals of each trunk communication point and each branch node communication point and at least recording the time for acquiring the return signals; the positioning communication base stations are fixedly and electrically connected with the operation center b; the operation center is used for calculating absolute positions of a plurality of trunk communication points and a plurality of branch node communication points and simulating a time sequence dynamic movement diagram of the studied animal.
Description
Technical Field
The invention relates to an auxiliary system for experimental animal behavioural research.
Background
The subjects of animal behavioral studies described in the related art include communication behavior, emotional expression, social behavior, learning behavior, reproductive behavior, eating activity, limb activity (e.g., the number of scratching when an animal is itchy, licking activity after foot stimulation, etc.) and the like of an animal. In the related prior art, the experimental animal behavioristics monitoring system comprises an old mouse cage and a camera fixedly installed right above the old mouse cage, wherein the camera is electrically connected with a controller, and a video decoding chip, an FPGA main board and an FPGA data processing chip are fixedly arranged inside the controller; the camera carries out video acquisition, the video decoding chip carries out format conversion on a video acquired by the camera, the FPGA mainboard generates an image sequence on the video data, the FPGA data processing chip carries out extraction of a background model and animal target detection and continuously carries out background model updating and foreground target mapping at the same time, the FPGA data processing chip adopts binary mapping detection to obtain animal target identification, the animal target identification is continuously carried out and then animal target tracking is carried out, the FPGA data processing chip establishes an animal motion sequence and carries out feature extraction from the animal motion sequence, video segmentation is carried out according to the extracted features, and action identification and action classification are carried out on the segmented video; the key point is that the FPGA data processing chip adopts binarization mapping detection, and animal target identification is obtained by comparing pixel points of a current background model and a foreground background model and calculating a gray difference value.
The feature extraction comprises space-time features, transformation region features and descriptive features, wherein the space-time features are speed, angular speed, orientation and angle features, the transformation region features are posture features during movement, and the descriptive features are language descriptions of the space-time features and the transformation region features. The video segmentation segments a continuous video sequence into N independent behavioral segments, each having one and only one meaningful behavioral pattern. The FPGA data processing chip calculates the autonomous activity of the animal according to the action recognition and the action classification, including the time period of the rest time, the time length of each time period, the length of the total rest time, the total movement distance, the total time, the average speed, the distance of the surrounding activities, the duration, the average speed, the number of accesses, the rest time, the distance of the central activities, the duration, the average speed, the number of accesses, the latency and the rest time index Average speed, number of entries, resting time, distance to a central activity, duration, average speed, number of entries, latency, resting time index.
Objectively, the technology can monitor the animal continuously without frequent observation and recording of workers, and can also achieve the purpose of calculating the autonomic activity of the animal to a certain extent. However, in practical applications, the above-mentioned technologies have many defects, and what is more prominent is that in the above-mentioned technologies, the experimental animal is held in the mouse cage, so that the camera can be ensured to acquire a clear image to support the realization of functions such as image processing and feature extraction, however, in the application, the research needs for behavior of an outdoor animal (for example, bat) are more urgent, and in such a case, the prior art is completely unsatisfied with the needs.
Disclosure of Invention
In order to overcome the defects of the prior art, the invention provides an experimental animal behavioural research auxiliary system.
In order to realize the purpose of the invention, the invention adopts the following technical scheme:
the experimental animal behavioural research auxiliary system comprises a plurality of trunk communication points and a plurality of branch node communication points, wherein the trunk communication points and the branch node communication points are arranged on the trunk body of a researched animal, and the branch node communication points are fixedly arranged on the main organ and/or limb joint of the researched animal; the system also comprises more than three positioning communication base stations with fixed absolute positions, wherein the trunk communication points and the branch node communication points are electrically connected with the positioning communication base stations through radio, each trunk communication point, the plurality of branch node communication points and the positioning communication base stations have fixed id numbers, and the positioning communication base stations are used for sending polling request signals to each trunk communication point and each branch node communication point, receiving return signals of each trunk communication point and each branch node communication point and at least recording the time for acquiring the return signals; the positioning communication base stations are fixedly and electrically connected with the operation center b, and each positioning communication base station sends a return signal of each trunk communication point and each branch node communication point to the operation center and records the time of the return signal; the operation center is used for calculating absolute positions of the plurality of trunk communication points and the plurality of branch node communication points through return signals of each trunk communication point and each branch node communication point and time for recording the return signals, and simulating a time sequence dynamic moving diagram of the researched animal through the absolute positions of the plurality of trunk communication points and the plurality of branch node communication points.
Furthermore, the operation center is at least provided with a data format conversion circuit and a processor on hardware, and at least provided with a time sequence dynamic moving chart construction unit on a software layer, wherein the time sequence dynamic moving chart construction unit is used for simulating the time sequence dynamic moving chart of the researched animal through absolute positions of a plurality of trunk communication points and a plurality of branch node communication points.
Furthermore, the operation center is also provided with an approximate image construction unit on a software layer, and the approximate image construction unit is used for converting the time sequence dynamic movement diagram of the studied animal into an approximate image which has the same data format with the picture shot by the camera and has the same meaning as the representation image.
Furthermore, the positioning communication base stations are all arranged in a field experiment area a, a plurality of cameras are further fixedly arranged in the field experiment area a, and the cameras are used for shooting compensation images and rendering background images.
Further, the operation center is also provided with an image compensation unit and an image rendering unit at a software layer, wherein the image compensation unit is used for extracting a compensation element in the shooting compensation image and adding the compensation element to the approximate image to complete the compensation of the approximate image, and the image rendering unit is used for extracting a rendering element in the rendering background image and adding the rendering element to the approximate image to complete the rendering of the approximate image.
Furthermore, the operation center is also provided with a dangerous behavior identification unit on a software layer, and is also provided with a corresponding dangerous behavior discrimination database, wherein the dangerous behavior identification unit is used for identifying whether the behaviors of the researched animals can cause the natural viruses to be carried, and if so, the dangerous behavior identification unit returns alarm data to the output equipment of the operation center.
Furthermore, the operation center is also provided with a big data interaction unit on a software layer, the operation center is also connected with a big data system, and the big data interaction unit is used for searching the latest resources in the discrimination database in the big data system and enriching the existing discrimination database.
Furthermore, the main communication point and the plurality of branch node communication points adopt passive electronic tags, and the positioning communication base station at least comprises an electronic tag reader, a time sequence management circuit and a communication circuit.
Furthermore, the trunk communication point and the plurality of branch node communication points adopt active electronic tags, and the positioning communication base station at least comprises an electronic tag reader, a time sequence management circuit and a communication circuit.
The beneficial effects of the invention include, but not limited to, the invention can realize that the animal behavior and action identification and action classification can be completed without a camera in the field environment and the animal autonomous activity can be further calculated according to the action identification and action classification, concretely, the invention can actually construct the skeleton diagram of the actual motion state of the studied animal in the field environment through the absolute positions of a plurality of trunk communication points and a plurality of branch node communication points, because the position information has time stamps, the dynamic motion process of the studied animal can be completely restored through the skeleton diagram of the motion state in a listed period of time, and the time sequence dynamic motion diagram of the studied animal can be formed, in the implementation, the parameter representation in the time sequence dynamic motion diagram is the same as the representation meaning of the image sequence generated by the FPGA mainboard processing video data in the background technology, in addition, the time sequence dynamic movement diagram can directly form an animal movement sequence, feature extraction can be performed from the object movement sequence by referring to the background basic technology, the time sequence dynamic movement diagram is segmented according to the extracted features, and the segmented time sequence dynamic movement diagram is subjected to action recognition and action classification. Correspondingly, the autonomic activity of the animal can be calculated according to the action recognition and the action classification, and the autonomic activity comprises the time periods of the rest time, the time length of each time period, the length of the total rest time, the total distance of the activity, the total time, the average speed, the distance of the activities at four weeks, the duration, the average speed, the number of accesses, the rest time, the distance of the activities at the center, the duration, the average speed, the number of accesses, the latency and the index of the rest time. Therefore, the method realizes that the behavior and action recognition and action classification of the animal can be finished without a camera in a field environment and further calculates the autonomous activity of the animal according to the action recognition and action classification.
The dangerous behavior identification unit can identify whether the behaviors of the bats to be researched can cause the viruses in the nature, if so, alarm data are returned to the output equipment of the operation center, and high-quality and efficient support can be provided for researchers to find the virus carrying behaviors of field animals similar to the bats. Therefore, the prevention and control of the virus source can be realized, and the problem of large-scale virus propagation can be avoided as much as possible.
The computing center is further provided with a big data interaction unit on a software layer, the computing center is further connected with a big data system, and the big data interaction unit is used for searching the latest resources in the discrimination database in the big data system and enriching the existing discrimination database. By the support of big data, the support with high quality and high efficiency can be further provided for researchers to find the virus carrying behavior of field animals similar to bats. Therefore, the prevention and control of the virus source can be realized, and the problem of large-scale virus propagation can be avoided as much as possible.
Description of the drawings:
FIG. 1 is a schematic diagram of the composition of an embodiment of the present application;
fig. 2 is a schematic composition diagram of the bat research in the application of the embodiment of the present application.
Detailed Description
In specific implementation, as shown in fig. 1, the experimental animal behavioural research auxiliary system of the present application comprises a plurality of trunk communication points 1 and a plurality of branch communication points 2 for being disposed on the body of the animal to be researched, wherein the trunk communication points 1 are fixedly disposed on the trunk body of the animal to be researched, and the branch communication points 2 are fixedly disposed on the main organs and/or limbs and/or limb joints of the animal to be researched; the system also comprises more than three positioning communication base stations 3 with fixed absolute positions, wherein the trunk communication points 1 and the branch node communication points 2 are electrically connected with the positioning communication base stations 3 through radio, each trunk communication point 1, a plurality of branch node communication points 2 and the positioning communication base stations 3 have fixed id numbers, and the positioning communication base stations 3 are used for sending polling request signals to each trunk communication point 1 and each branch node communication point 2, receiving return signals of each trunk communication point 1 and each branch node communication point 2 and at least recording the time for acquiring the return signals; the positioning communication base stations 3 are all fixedly and electrically connected with the operation center b, and each positioning communication base station 3 sends a return signal of each trunk communication point 1 and each branch node communication point 2 to the operation center and records the time of the return signal; the operation center is used for calculating absolute positions of a plurality of trunk communication points 1 and a plurality of branch node communication points 2 through return signals of each trunk communication point 1 and each branch node communication point 2 and the time for recording the return signals, and simulating a time sequence dynamic moving diagram of the studied animal through the absolute positions of the plurality of trunk communication points 1 and the plurality of branch node communication points 2; in the implementation, the representation of parameters in the time sequence dynamic movement diagram is the same as the representation meaning of the image sequence generated by processing video data by the FPGA mainboard in the background technology, and the difference is that the time sequence dynamic movement diagram can directly form an animal movement sequence, the feature extraction can be carried out from the object movement sequence by referring to the background basic technology, the segmentation of the time sequence dynamic movement diagram is carried out according to the extracted features, and correspondingly, the feature extraction also can comprise space-time features, transformation region features and descriptive features, wherein the space-time features are speed, angular speed, orientation and angle features, the transformation region features are posture features during motion, and the descriptive features are language descriptions of the space-time features and the transformation region features. Correspondingly, the autonomic activity of the animals can be calculated according to the action recognition and the action classification, and the autonomic activity of the animals comprises time periods of rest time, the time length of each time period, the length of total rest time, total movement distance, total time, average speed, the distance of four-week movement, duration, average speed, number of entries, rest time, the distance of central movement, duration, average speed, number of entries, latency and rest time indexes. Therefore, the method realizes that the behavior and action recognition and action classification of the animal can be finished without a camera in a field environment and further calculates the autonomous activity of the animal according to the action recognition and action classification.
In a specific implementation, as shown with reference to figure 2,
the bat behavior research embodiment specifically applied to the field comprises a plurality of trunk communication points 1 and a plurality of branch communication points 2 which are arranged on the bat body to be researched, wherein the trunk communication points 1 are fixedly arranged on the trunk body of the bat to be researched, and the branch communication points 2 are fixedly arranged on the main organs and/or limbs and/or limb joints of the bat to be researched; the system comprises a main communication point 1, a plurality of branch node communication points 2 and a positioning communication base station 3, wherein the main communication point 1 and the branch node communication points 2 are electrically connected with the positioning communication base station 3 through radio, each main communication point 1, the branch node communication points 2 and the positioning communication base station 3 are provided with fixed id numbers, and the positioning communication base station 3 is used for sending polling request signals to each main communication point 1 and each branch node communication point 2, receiving return signals of each main communication point 1 and each branch node communication point 2 and at least recording the time for acquiring the return signals; the positioning communication base stations 3 are fixedly and electrically connected with the operation center b, and each positioning communication base station 3 sends a return signal of each trunk communication point 1 and each branch node communication point 2 to the operation center and records the time of the return signal; the operation center is used for calculating absolute positions of the plurality of trunk communication points 1 and the plurality of branch node communication points 2 through return signals of each trunk communication point 1 and each branch node communication point 2 and time for recording the return signals, and simulating a time sequence dynamic moving diagram of the bats to be researched through the absolute positions of the plurality of trunk communication points 1 and the plurality of branch node communication points 2; in the concrete implementation, the skeleton diagram of the actual motion state of the researched bat in the wild environment can be actually constructed through the absolute positions of the plurality of trunk communication points 1 and the plurality of branch node communication points 2, because the position information has time stamps, the dynamic motion process of the researched bat can be completely restored through listing the skeleton diagram of the motion state within a period of time, and the time sequence dynamic motion diagram of the researched bat can be formed, in the implementation, the meaning of the parameter representation in the time sequence dynamic motion diagram is the same as the meaning of the representation of the image sequence generated by the FPGA main board processing video data in the background technology, in addition, the time sequence dynamic motion diagram can directly form the bat motion sequence, the feature extraction can be carried out from the object motion sequence by referring to the background basic technology, the segmentation of the time sequence dynamic motion diagram is carried out according to the extracted feature, and correspondingly, the feature extraction also can comprise space-time features, transformation region features and descriptive features, wherein the space-time features are speed, angular speed, orientation and angle features, the transformation region features are posture features during motion, and the descriptive features are language descriptions of the space-time features and the transformation region features. Correspondingly, the automatic activity of the bat can be calculated according to the action recognition and the action classification, and the automatic activity comprises the time periods of the rest time, the time length of each time period, the length of the total rest time, the total distance of the activity, the total time, the average speed, the distance of the four-around activity, the duration, the average speed, the number of accesses, the rest time, the distance of the central activity, the duration, the average speed, the number of accesses, the latency and the rest time index. Therefore, the method realizes that the behavior and action recognition and action classification of the bat can be finished without a camera in a wild environment and further calculates the independent activity of the bat according to the action recognition and action classification.
In a more specific implementation, in order to support the above actual construction of the time series dynamic moving graph of the animal under study, the computing center is configured with at least a data format conversion circuit and a processor on hardware, and is configured with at least a time series dynamic moving graph construction unit on a software layer, and the time series dynamic moving graph construction unit is used for simulating the time series dynamic moving graph of the animal under study through absolute positions of a plurality of backbone communication points 1 and a plurality of branch node communication points 2.
In more specific implementation, the operation center configures an approximate image construction unit in a software layer, the approximate image construction unit is used for converting a time sequence dynamic moving picture of a researched animal into an approximate image which has the same format as a data format of a picture shot by a camera and has the same meaning as a representation image, in the specific implementation, the time sequence dynamic moving picture can be converted into the approximate image which has the same format as the data format of the picture shot by the camera and has the same meaning as the representation image through configuring software, the resolution of the approximate image is very low compared with the background technology, but the approximate image has the key characteristic of actually researching animal behaviors, so in the actual implementation, an FPGA main board can generate an image sequence for the approximate image, extract a background model and detect an animal target, and update the background model and map the foreground target continuously, the FPGA data processing chip can also adopt binarization mapping detection to obtain animal target identification, the animal target identification is continuously carried out, and then animal target tracking is carried out, the FPGA data processing chip can also establish an animal motion sequence, carry out feature extraction from the animal motion sequence, carry out approximate image segmentation according to the extracted features, carry out action identification and action classification on the segmented approximate image, and the like, so the effects can be realized through the implementation.
In a more specific implementation, the positioning communication base stations 3 are all arranged in a field experiment area a, and the field experiment area a is also fixedly provided with a plurality of cameras which are used for shooting compensation images and rendering background images; the operation center is also provided with an image compensation unit and an image rendering unit at a software layer, wherein the image compensation unit is used for extracting a compensation element in the shooting compensation image and adding the compensation element to the approximate image to complete the compensation of the approximate image, and the image rendering unit is used for extracting a rendering element in the rendering background image and adding the rendering element to the approximate image to complete the rendering of the approximate image; in the implementation, a plurality of cameras are fixedly arranged in practice and can directly shoot the environment of a field experiment area a with a timestamp, so that in the implementation, the actual characterization effect of a compensated approximate image and/or a rendered approximate image and/or a compensated and rendered approximate image is almost equivalent to that of a video image in the background technology, an FPGA main board generates an image sequence for the compensated approximate image and/or the rendered approximate image and/or the compensated and rendered approximate image, an FPGA data processing chip carries out background model extraction and animal target detection and simultaneously carries out background model updating and foreground target mapping continuously, the FPGA data processing chip adopts binary image detection to obtain animal target identification, the animal target identification is carried out continuously, and then the animal target tracking is carried out, the FPGA data processing chip establishes an animal motion sequence, extracts features from the animal motion sequence, segments the 'compensated approximate image and/or rendered approximate image and/or compensated and rendered approximate image' according to the extracted features, identifies and classifies actions of the segmented 'compensated approximate image and/or rendered approximate image and/or compensated and rendered approximate image', and the like. The aforementioned effects can also be achieved by this implementation. In addition, the "compensated approximate image and/or rendered approximate image and/or compensated and rendered approximate image" may even serve as a research data source for the real scene reference of the research.
The operation center is also provided with a dangerous behavior identification unit on a software layer, and is also provided with a corresponding dangerous behavior discrimination database, wherein the dangerous behavior identification unit is used for identifying whether the behaviors of the researched animals can cause natural viruses or not, if so, alarm data are returned to an output device of the operation center, in the implementation, corresponding resources need to be abundantly configured in the discrimination database in advance, and the abundant resources can be deeply researched, in the specific implementation, the dangerous behavior identification unit is used for identifying whether the behaviors of the researched bats can cause the natural viruses or not, if so, the alarm data are returned to the output device of the operation center, and through the mode, high-quality and efficient support can be provided for researchers to find the virus carrying behaviors of the field animals similar to the bats. Therefore, the prevention and control of the virus source can be realized, and the problem of large-scale virus propagation can be avoided as much as possible.
The operation center is also provided with a big data interaction unit on a software layer, the operation center is also connected with a big data system, and the big data interaction unit is used for searching the latest resources in the discrimination database in the big data system and enriching the existing discrimination database. By the support of big data, the support with high quality and high efficiency can be further provided for researchers to find the virus carrying behavior of field animals similar to bats. Therefore, the prevention and control of the virus source can be realized, and the problem of large-scale virus propagation can be avoided as much as possible.
In a specific implementation, the trunk communication point 1 and the plurality of branch node communication points 2 adopt passive electronic tags, and the positioning communication base station 3 at least comprises an electronic tag reader, a time sequence management circuit and a communication circuit.
In a specific implementation, the backbone communication point 1 and the plurality of branch node communication points 2 employ active electronic tags, and the positioning communication base station 3 at least includes an electronic tag reader, a timing management circuit, and a communication circuit.
Specifically, the experimental animal behavioural research auxiliary system comprises a plurality of trunk passive electronic tags/active electronic tags 1 and a plurality of branch passive electronic tags/active electronic tags 2, wherein the trunk passive electronic tags/active electronic tags 1 are arranged on the trunk body of the animal to be researched, and the branch passive electronic tags/active electronic tags 2 are fixedly arranged on the main organs and/or limbs and/or limb joints of the animal to be researched; the system also comprises more than three positioning communication base stations 3 with fixed absolute positions, wherein the trunk passive electronic tag/active electronic tag 1 and the branch passive electronic tag/active electronic tag 2 are electrically connected with the positioning communication base stations 3 through radio, each trunk passive electronic tag/active electronic tag 1, a plurality of branch passive electronic tags/active electronic tags 2 and the positioning communication base stations 3 are provided with fixed id numbers, the positioning communication base station 3 is configured to send polling request signals to each of the trunk passive electronic tag/active electronic tag 1 and the branch passive electronic tag/active electronic tag 2, and is further configured to receive return signals of each of the trunk passive electronic tag/active electronic tag 1 and the branch passive electronic tag/active electronic tag 2 and at least record time for acquiring the return signals; the positioning communication base stations 3 are fixedly and electrically connected with the operation center b, and each positioning communication base station 3 sends a return signal of each trunk passive electronic tag/active electronic tag 1 and each branch passive electronic tag/active electronic tag 2 to the operation center and records the time of the return signal; the operation center is used for calculating absolute positions of the plurality of trunk passive electronic tags/active electronic tags 1 and the plurality of branch passive electronic tags/active electronic tags 2 through return signals of each trunk passive electronic tag/active electronic tag 1 and the branch passive electronic tags/active electronic tags 2 and time for recording the return signals, and simulating a time sequence dynamic moving diagram of the researched animal through the absolute positions of the plurality of trunk passive electronic tags/active electronic tags 1 and the plurality of branch passive electronic tags/active electronic tags 2; in the specific implementation, the skeleton diagram of the actual motion state of the studied animal in the field environment can be actually constructed by the absolute positions of a plurality of main passive electronic tags/active electronic tags 1 and a plurality of branch passive electronic tags/active electronic tags 2, and because the position information has time stamps, the dynamic motion process of the studied animal can be completely restored by listing the skeleton diagram of the motion state within a period of time, and a time sequence dynamic moving diagram of the studied animal can be formed, in the implementation, the meaning of the parameter representation in the time sequence dynamic moving diagram is the same as that of the image sequence generated by processing video data by the FPGA mainboard in the background technology, and in addition, the difference is that the time sequence dynamic moving diagram can directly form an animal motion sequence, and the feature extraction can be carried out from the object motion sequence by referring to the background basic technology, and performing segmentation of the time-series dynamic movement diagram according to the extracted features, and performing action recognition, action classification and the like on the segmented time-series dynamic movement diagram.
The cost of the electronic tag in specific implementation is far lower than that of a camera, so that in practice, the implementation mode of the application has high efficiency and low cost, and is very convenient to popularize and use. In addition, because the electronic tag is small in volume, the electronic tag can be easily fixed on the body of an animal to be researched in implementation.
Claims (7)
1. The experimental animal behavioural research auxiliary system is characterized by comprising a plurality of trunk communication points and a plurality of branch communication points, wherein the trunk communication points and the branch communication points are arranged on the trunk body of a researched animal, the trunk communication points are fixedly arranged on the trunk body of the researched animal, and the branch communication points are fixedly arranged on the main organs and/or limbs and/or limb joints of the researched animal; the system also comprises more than three positioning communication base stations with fixed absolute positions, wherein the trunk communication points and the branch node communication points are electrically connected with the positioning communication base stations through radio, each trunk communication point, the plurality of branch node communication points and the positioning communication base stations have fixed id numbers, and the positioning communication base stations are used for sending polling request signals to each trunk communication point and each branch node communication point, receiving return signals of each trunk communication point and each branch node communication point and at least recording the time for acquiring the return signals; the positioning communication base stations are fixedly and electrically connected with the operation center b, and each positioning communication base station sends a return signal of each trunk communication point and each branch node communication point to the operation center and records the time of the return signal; the operation center is used for calculating absolute positions of a plurality of trunk communication points and a plurality of branch node communication points through return signals of each trunk communication point and branch node communication points and the time for recording the return signals, and simulating a time sequence dynamic moving diagram of the studied animal through the absolute positions of the plurality of trunk communication points and the plurality of branch node communication points;
the positioning communication base stations are all arranged in a field experiment area a, a plurality of cameras are fixedly arranged in the field experiment area a, and the cameras are used for shooting compensation images and rendering background images;
the operation center is also provided with an image compensation unit and an image rendering unit at a software layer, wherein the image compensation unit is used for extracting a compensation element in the shooting compensation image and adding the compensation element to the approximate image to complete the compensation of the approximate image, and the image rendering unit is used for extracting a rendering element in the rendering background image and adding the rendering element to the approximate image to complete the rendering of the approximate image.
2. The animal behavior research assistant system of claim 1, wherein the operation center is configured with at least a data format conversion circuit and a processor on hardware, and at least a time sequence dynamic movement diagram construction unit on a software layer, wherein the time sequence dynamic movement diagram construction unit is configured to simulate the time sequence dynamic movement diagram of the animal under study through absolute positions of a plurality of backbone communication points and a plurality of branch node communication points.
3. The experimental animal behavioural research assistant system according to claim 2, characterized in that the operation center is further provided with an approximate image construction unit in a software layer, and the approximate image construction unit is used for converting the time sequence dynamic movement diagram of the studied animal into an approximate image which has the same format as the data format of the picture shot by the camera and has the same meaning as the representation image.
4. The experimental animal behavioural research auxiliary system according to claim 1, wherein the operation center is further provided with a dangerous behaviour recognition unit in a software layer, and is further provided with a corresponding dangerous behaviour discrimination database, wherein the dangerous behaviour recognition unit is used for recognizing whether the behaviour of the animal under study can cause carrying of a natural virus, and if so, returning alarm data to an output device of the operation center.
5. The experimental animal behavioural research assistant system according to claim 4, wherein the operation center is further provided with a big data interaction unit in a software layer, the operation center is further connected with a big data system, and the big data interaction unit is used for searching the latest resources in the discriminant database in the big data system and enriching the existing discriminant database.
6. The experimental animal behavioural research auxiliary system according to claim 1, wherein the trunk communication point and the plurality of branch node communication points employ passive electronic tags, and the positioning communication base station at least comprises an electronic tag reader, a time sequence management circuit and a communication circuit.
7. The experimental animal behavioural research auxiliary system according to claim 6, wherein the main communication point and the plurality of branch communication points use active electronic tags, and the positioning communication base station at least comprises an electronic tag reader, a time sequence management circuit and a communication circuit.
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