CN113645401A - Wild animal living environment monitoring method based on Beidou Internet of things - Google Patents
Wild animal living environment monitoring method based on Beidou Internet of things Download PDFInfo
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- CN113645401A CN113645401A CN202110824294.XA CN202110824294A CN113645401A CN 113645401 A CN113645401 A CN 113645401A CN 202110824294 A CN202110824294 A CN 202110824294A CN 113645401 A CN113645401 A CN 113645401A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/60—Control of cameras or camera modules
- H04N23/66—Remote control of cameras or camera parts, e.g. by remote control devices
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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
- G06F16/10—File systems; File servers
- G06F16/17—Details of further file system functions
- G06F16/174—Redundancy elimination performed by the file system
- G06F16/1744—Redundancy elimination performed by the file system using compression, e.g. sparse files
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/06—Protocols specially adapted for file transfer, e.g. file transfer protocol [FTP]
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/60—Control of cameras or camera modules
- H04N23/61—Control of cameras or camera modules based on recognised objects
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/80—Camera processing pipelines; Components thereof
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N5/00—Details of television systems
- H04N5/30—Transforming light or analogous information into electric information
- H04N5/33—Transforming infrared radiation
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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
- H04W4/30—Services specially adapted for particular environments, situations or purposes
- H04W4/38—Services specially adapted for particular environments, situations or purposes for collecting sensor information
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W84/00—Network topologies
- H04W84/02—Hierarchically pre-organised networks, e.g. paging networks, cellular networks, WLAN [Wireless Local Area Network] or WLL [Wireless Local Loop]
- H04W84/10—Small scale networks; Flat hierarchical networks
- H04W84/12—WLAN [Wireless Local Area Networks]
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Abstract
The invention discloses a wild animal living environment monitoring method based on the Beidou Internet of things, which comprises the following steps of: s1, equipment end installation, remote monitoring terminal 'S bottom is equipped with pre-buried base, bury the soil of assigned position to pre-buried base, pre-buried base' S bottom is equipped with a plurality of pre-buried poles, pre-buried pole inserts in the soil, the same reason, make monitoring sensor terminal installation at the assigned position, S2, environmental monitoring, monitoring sensor terminal places and is used for rushing into the early warning in the open air, collect infrared image, gather sound, the temperature, humidity, atmospheric pressure, the raindrop, flame, smog, vibrations, GPS information, and pass back to remote monitoring terminal through big dipper in real time. The invention has the beneficial effects that: the information can be directly transmitted to the network center through the Beidou short message transmission technology, so that researchers can check the information with low use cost, the flexibility is good, the response is sensitive, and the method is suitable for popularization and implementation.
Description
Technical Field
The invention relates to the technical field of environmental monitoring, in particular to a wild animal living environment monitoring method based on the Beidou Internet of things.
Background
The infrared camera technology is that wild animal image data (such as photos and videos) are acquired through an automatic camera system, such as a passive or active infrared trigger camera or a timing shooting camera, and important information of species distribution, population quantity, behaviors, habitat utilization and the like of wild animals is analyzed through the images, so that effective reference information is provided for wild animal protection management and resource utilization. After the infrared camera is deployed, the offline state is processed, and the actual working state (damage, loss, theft, insufficient electric quantity, insufficient storage space and the like) of the camera cannot be known. The operation is maintained the degree of difficulty great, and the storage card of camera is full of the back, needs the manual work to carry out the change of storage card, because the nature protection zone scope is great, and mostly is mountain, hilly area, and the manual work is changed very difficultly. The infrared monitoring camera is triggered only when an animal passes through the infrared monitoring camera, and can only be replaced regularly under the condition that whether the storage card is full or not, so that the working efficiency is extremely low. The data of the camera cannot be communicated and transmitted, and the memory card can be taken back to the monitoring station only after being manually replaced, and the photo data can be read by the computer. In practice, the effective data in a memory card may be less than three percent of the total number of photos. The function of infrared camera is comparatively single, only can carry out the photo and shoot, can't give full play to open-air monitoring point position advantage.
Disclosure of Invention
The invention mainly aims to provide a wild animal living environment monitoring method based on the Beidou Internet of things, which can effectively solve the problems in the background technology.
In order to achieve the purpose, the invention adopts the technical scheme that:
a wild animal living environment monitoring method based on the Beidou Internet of things comprises the following steps:
s1, installing equipment terminals, wherein the bottom end of the remote monitoring terminal is provided with a pre-buried base, the pre-buried base is buried in soil at a specified position, the bottom of the pre-buried base is provided with a plurality of pre-buried rods, the pre-buried rods are inserted into the soil, and similarly, the monitoring sensor terminals are installed at the specified position;
s2, environment monitoring, wherein the monitoring sensor terminal is placed outdoors for early warning of intrusion, collecting infrared images, collecting sound, temperature, humidity, air pressure, raindrops, flame, smoke, vibration and GPS information, and transmitting the information back to the remote monitoring terminal in real time through the Beidou;
s3, triggering photographing, wherein when wild animals appear and a target breaks into a monitoring area, a monitoring sensor terminal is triggered and photographs by using an infrared camera module;
s4, picture identification and screening are affected by the Beidou transmission speed, pictures after primary identification and screening are carried out on the transmitted pictures, the transmission of the pictures is prioritized, an algorithm determines the transmission priority of the shot pictures according to requirements, compression and transmission are carried out on the pictures with people identified according to system setting, then the pictures with animals are identified, and the transmission priority is determined by the animals according to the protection level or other parameters;
s5, picture compression processing, wherein the picture taken by the infrared camera module is compressed, firstly, a JPEG compressed object is distributed and initialized, the position of the compressed data is designated, the parameters of the compressed object are set, then, the image is compressed line by line, and when all the image data are written, the work of the memory opened by the JPEG object is released;
s6, uploading an image, compressing the target image by the monitoring terminal, dividing the target image into data packets, returning the data packets to the network center through the Beidou, uploading the image to the server through the relay module, transmitting the image information every time, and simultaneously transmitting the working condition of the system to the cloud platform, wherein the working condition of the system comprises the running time of the system, the accumulated number of shot pictures in the camera, the residual electric quantity of each sensor node, the residual electric quantity of each relay node, the communication quality of the relay link and other information;
s7, deleting local storage, and when the unmanned aerial vehicle bears the approaching of the airborne data recovery equipment, the monitoring sensor terminal transmits uncompressed data to the airborne data recovery equipment through wifi and deletes the local storage.
Preferably, the monitoring sensor terminal in step S1 has a watchdog function, and automatically restarts and works normally after the crash.
Preferably, the monitoring sensor terminal in step S1 includes an embedded computer imax6ull, a sound sensor, a flame sensor, an infrared camera, a radar, a temperature and humidity sensor, a smoke sensor, an air pressure sensor, and a CO sensor2Sensor, vibrations sensor, raindrop sensor, big dipper transmission module, wifi module are constituteed, Srm32 microcontroller, lithium cell and solar panel are constituteed.
Preferably, the remote monitoring device terminal in step S1 is composed of a computer, a beidou transmission module and monitoring software.
Preferably, the onboard data recovery device in the step S6 is composed of a computer bar, a lithium battery and a wifi module.
Preferably, the onboard data recovery device in step S6 may be mounted at the lower end of the drone, and automatically recover the image raw data when approaching the monitoring sensor.
Compared with the prior art, the invention has the following beneficial effects: considering that the monitoring device is laid out in the field, researchers are not easy to frequently arrive at the field, check the working condition of the equipment and acquire the information of the photos. The system can directly transmit the information to the network center through the Beidou short message transmission technology, so that researchers can check and use the information, the cost is low, the flexibility is good, the response is sensitive, and the system is suitable for popularization and implementation.
Drawings
Fig. 1 is a schematic flow diagram of a wild animal living environment monitoring method based on the Beidou Internet of things.
Fig. 2 is a structural diagram of airborne data recovery equipment of the wild animal living environment monitoring method based on the Beidou Internet of things.
Fig. 3 is a structure diagram of a monitoring sensor terminal of the wild animal living environment monitoring method based on the Beidou Internet of things.
Fig. 4 is a monitoring software structure diagram of the wild animal living environment monitoring method based on the Beidou Internet of things.
Detailed Description
In order to make the technical means, the creation characteristics, the achievement purposes and the effects of the invention easy to understand, the invention is further described with the specific embodiments.
Example 1
A wild animal living environment monitoring method based on the Beidou Internet of things comprises the following steps:
s1, installing equipment terminals, wherein the bottom end of the remote monitoring terminal is provided with a pre-buried base, the pre-buried base is buried in soil at a specified position, the bottom of the pre-buried base is provided with a plurality of pre-buried rods, the pre-buried rods are inserted into the soil, and similarly, the monitoring sensor terminals are installed at the specified position;
s2, environment monitoring, wherein the monitoring sensor terminal is placed outdoors for early warning of intrusion, collecting infrared images, collecting sound, temperature, humidity, air pressure, raindrops, flame, smoke, vibration and GPS information, and transmitting the information back to the remote monitoring terminal in real time through the Beidou;
s3, triggering photographing, wherein when wild animals appear and a target breaks into a monitoring area, a monitoring sensor terminal is triggered and photographs by using an infrared camera module;
s4, picture identification and screening are affected by the Beidou transmission speed, pictures after primary identification and screening are carried out on the transmitted pictures, the transmission of the pictures is prioritized, an algorithm determines the transmission priority of the shot pictures according to requirements, compression and transmission are carried out on the pictures with people identified according to system setting, then the pictures with animals are identified, and the transmission priority is determined by the animals according to the protection level or other parameters;
s5, picture compression processing, wherein the picture taken by the infrared camera module is compressed, firstly, a JPEG compressed object is distributed and initialized, the position of the compressed data is designated, the parameters of the compressed object are set, then, the image is compressed line by line, and when all the image data are written, the work of the memory opened by the JPEG object is released;
s6, uploading an image, compressing the target image by the monitoring terminal, dividing the target image into data packets, returning the data packets to the network center through the Beidou, uploading the image to the server through the relay module, transmitting the image information every time, and simultaneously transmitting the working condition of the system to the cloud platform, wherein the working condition of the system comprises the running time of the system, the accumulated number of shot pictures in the camera, the residual electric quantity of each sensor node, the residual electric quantity of each relay node, the communication quality of the relay link and other information;
s7, deleting local storage, and when the unmanned aerial vehicle bears the approaching of the airborne data recovery equipment, the monitoring sensor terminal transmits uncompressed data to the airborne data recovery equipment through wifi and deletes the local storage.
In this embodiment, in the step S1, the monitoring sensor terminal has a watchdog function, and is automatically restarted and normally operated after the crash.
In this embodiment, the monitoring sensor terminal in step S1 includes an embedded computer imax6ull, a sound sensor, a flame sensor, an infrared camera, a radar, a temperature and humidity sensor, a smoke sensor, an air pressure sensor, and a CO sensor2Sensor, vibrations sensor, raindrop sensor, big dipper transmission module, wifi module are constituteed, Srm32 microcontroller, lithium electricityA pool and a solar panel.
In this embodiment, the remote monitoring device terminal in step S1 is composed of a computer, a beidou transmission module and monitoring software.
In this embodiment, the onboard data recovery device in step S6 is composed of a computer bar, a lithium battery, and a wifi module.
In this embodiment, the onboard data recovery device in step S6 may be mounted at the lower end of the drone, and automatically recover the image raw data when approaching the monitoring sensor.
The invention is to be noted that the invention relates to a wild animal living environment monitoring method based on the Beidou Internet of things, wherein a pre-buried base is arranged at the bottom end of a remote monitoring terminal, the pre-buried base is buried in soil at a specified position, a plurality of pre-buried rods are arranged at the bottom of the pre-buried base, the pre-buried rods are inserted into the soil, and similarly, the monitoring sensor terminal is installed at the specified position and has a watchdog function, and is automatically restarted and normally works after being halted, and the monitoring sensor terminal consists of an embedded computer imax6ull, a sound sensor, a flame sensor, an infrared camera, a radar, a temperature and humidity sensor, a smoke sensor, an air pressure sensor and a CO sensor2The monitoring system comprises a sensor, a vibration sensor, a raindrop sensor, a Beidou transmission module, a wifi module, a Srm32 microcontroller, a lithium battery and a solar panel, wherein a remote monitoring equipment terminal comprises a computer, the Beidou transmission module and monitoring software, the monitoring sensor terminal is placed outdoors for early warning of intrusion, collecting infrared images, collecting sound, temperature, humidity, air pressure, raindrops, flame, smog, vibration and GPS information and transmitting the information back to the remote monitoring terminal in real time through Beidou, the natural environment is monitored based on various sensors arranged at the monitoring terminal, environmental parameters and monitoring terminal information are transmitted back to the remote monitoring terminal through the Beidou every minute, wild animals are exposed when the wild animals break into a monitoring area, the monitoring sensor terminal is triggered, the monitoring sensor terminal takes pictures by using an infrared camera module and is influenced by the transmission speed of the Beidou, the transmitted pictures are preliminarily identified and screened pictures, the transmission of the photos is prioritized, and the algorithm transmits the photos taken as requiredDetermining the transmission priority, identifying the most prior compression transmission of human pictures according to the system setting, then determining the transmission priority according to the protection level or other parameters by animals, compressing the pictures shot by the infrared camera module, firstly allocating and initializing a JPEG compressed object, further appointing the position of the compressed data for storage, setting the parameters of the compressed object, then compressing the images line by line, releasing the work of a memory opened by the JPEG object after all image data are written in, compressing the target image by the monitoring terminal, then dividing the target image into data packets to return to a network center through the Beidou, and uploading the image to a server through a relay module. And transmitting the working condition of the system to the cloud platform at the same time of transmitting the picture information every time. The working conditions of the system comprise the running time of the system, the number of accumulated shot pictures in the camera, the residual electric quantity of each sensor node, the residual electric quantity of each relay node, the communication quality of a relay link and other information. If an abnormal condition exists, an alarm is prompted. These information are convenient for managers to judge and in time go to the on-the-spot collection image data or handle abnormal conditions, bear when unmanned aerial vehicle carries airborne data recovery equipment and is close, monitoring sensor terminal passes through wifi with uncompressed data and passes to airborne data recovery equipment and delete local storage, airborne data recovery equipment comprises computer stick, lithium cell and wifi module, airborne data recovery equipment can carry at the unmanned aerial vehicle lower extreme, automatic recovery image raw data when being close monitoring sensor.
It should be understood that the above examples are only for clarity of illustration and are not intended to limit the embodiments. Other variations and modifications will be apparent to persons skilled in the art in light of the above description. And are neither required nor exhaustive of all embodiments. And obvious variations or modifications therefrom are within the scope of the invention.
Claims (6)
1. A wild animal living environment monitoring method based on the Beidou Internet of things is characterized by comprising the following steps:
s1, installing equipment terminals, wherein the bottom end of the remote monitoring terminal is provided with a pre-buried base, the pre-buried base is buried in soil at a specified position, the bottom of the pre-buried base is provided with a plurality of pre-buried rods, the pre-buried rods are inserted into the soil, and similarly, the monitoring sensor terminals are installed at the specified position;
s2, environment monitoring, wherein the monitoring sensor terminal is placed outdoors for early warning of intrusion, collecting infrared images, collecting sound, temperature, humidity, air pressure, raindrops, flame, smoke, vibration and GPS information, and transmitting the information back to the remote monitoring terminal in real time through the Beidou;
s3, triggering photographing, wherein when wild animals appear and a target breaks into a monitoring area, a monitoring sensor terminal is triggered and photographs by using an infrared camera module;
s4, picture identification and screening are affected by the Beidou transmission speed, pictures after primary identification and screening are carried out on the transmitted pictures, the transmission of the pictures is prioritized, an algorithm determines the transmission priority of the shot pictures according to requirements, compression and transmission are carried out on the pictures with people identified according to system setting, then the pictures with animals are identified, and the transmission priority is determined by the animals according to the protection level or other parameters;
s5, picture compression processing, wherein the picture taken by the infrared camera module is compressed, firstly, a JPEG compressed object is distributed and initialized, the position of the compressed data is designated, the parameters of the compressed object are set, then, the image is compressed line by line, and when all the image data are written, the work of the memory opened by the JPEG object is released;
s6, uploading an image, compressing the target image by the monitoring terminal, dividing the target image into data packets, returning the data packets to the network center through the Beidou, uploading the image to the server through the relay module, transmitting the image information every time, and simultaneously transmitting the working condition of the system to the cloud platform, wherein the working condition of the system comprises the running time of the system, the accumulated number of shot pictures in the camera, the residual electric quantity of each sensor node, the residual electric quantity of each relay node, the communication quality of the relay link and other information;
s7, deleting local storage, and when the unmanned aerial vehicle bears the approaching of the airborne data recovery equipment, the monitoring sensor terminal transmits uncompressed data to the airborne data recovery equipment through wifi and deletes the local storage.
2. The wild animal living environment monitoring method based on the Beidou Internet of things of claim 1, wherein the monitoring sensor terminal in the step S1 has a watchdog function, and is automatically restarted and normally operated after a crash.
3. The wild animal living environment monitoring method based on the Beidou Internet of things as claimed in claim 1, wherein the monitoring sensor terminal in the step S1 comprises an embedded computer imax6ull, a sound sensor, a flame sensor, an infrared camera, a radar, a temperature and humidity sensor, a smoke sensor, an air pressure sensor, a CO sensor2Sensor, vibrations sensor, raindrop sensor, big dipper transmission module, wifi module are constituteed, Srm32 microcontroller, lithium cell and solar panel are constituteed.
4. The wild animal living environment monitoring method based on the Beidou Internet of things as claimed in claim 1, wherein the remote monitoring device terminal in the step S1 is composed of a computer, a Beidou transmission module and monitoring software.
5. The wild animal living environment monitoring method based on the Beidou Internet of things of claim 1, wherein the airborne data recovery device in the step S6 is composed of a computer bar, a lithium battery and a wifi module.
6. The wild animal living environment monitoring method based on the Beidou Internet of things as claimed in claim 1, wherein in the step S6, the airborne data recovery device can be mounted at the lower end of the unmanned aerial vehicle, and image raw data are automatically recovered when the airborne data recovery device approaches a monitoring sensor.
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| CN114500934A (en) * | 2021-12-24 | 2022-05-13 | 兰州理工大学 | Monitoring system for realizing automatic transmission of field monitoring images |
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