Biodiversity monitoring system

Abstract

The invention relates to the technical field of biological monitoring, in particular to a biodiversity monitoring system which comprises an on-site monitoring device which comprises a structural member, a GPS positioning module, a data acquisition module, a calculation storage module and a communication power supply module. The gps positioning module, the data acquisition module, the calculation storage module and the communication power supply module are all arranged on the structural member; the data acquisition module comprises a microphone array, an infrared camera and an environment sensor group; the computing storage module comprises an embedded processor and a local storage hard disk, the data acquisition module transmits data to the local storage hard disk for backup and transmits the data to the embedded processor at the same time, and the embedded processor carries out noise reduction and recognition processing on image information and voiceprint information; the field detection device is in signal connection with the cloud management platform through the communication function of the communication power supply module, and the problems of single data, low precision, slow response, difficult deployment and the like in traditional biological monitoring are solved.

Description

Technical Field

[0001] The present invention relates to the field of biological monitoring technology, and in particular to a biodiversity monitoring system. Background Art

[0002] Currently, biodiversity monitoring mainly relies on the following technical means: ① Manual field surveys: Professionals record species distribution and behavior on-site, but there are problems such as high cost, limited coverage, and poor data timeliness. In addition, long-term monitoring is easily restricted by environmental factors such as weather and terrain; ② Infrared camera traps: Use thermal sensing to capture animal activities, but can only capture targets within the visual range and cannot record sound species. In addition, night-time shooting is easily affected by vegetation obstruction; ③ Single sensor acoustic monitoring: Deploy a single microphone to collect environmental sounds, but it is easily interfered by environmental noise, the sound source positioning accuracy is low, and it is difficult to distinguish multiple species with overlapping calls.

[0003] Currently, a Chinese patent with publication number CN119046881A discloses a biodiversity conservation area monitoring system, which includes the following system modules: a network deployment module: deploying an intelligent sensor network in the target conservation area, configuring multiple wireless sensor nodes to collect environmental data, biological data and first time series data; a patrol module: using drones to conduct regular patrols to obtain ground image data and second time series data; a preprocessing module: setting edge computing nodes at the edge of the network, preprocessing the obtained data, and generating sensor and image preprocessing data; a monitoring module: inputting the preprocessed data and time series data into a trained ecological event monitoring model and outputting the monitoring results.

[0004] Although the above invention improves the efficiency of data collection and processing by integrating multi-source data and advanced processing technology, and provides immediate management and decision-making support, significantly promoting the development of biodiversity conservation work, its operating principle is still to obtain biodiversity discrimination samples through a single image information capture technology. Although drone technology is used to solve the defect of incomplete information captured by fixed cameras, it still cannot solve the above-mentioned core defects, namely low positioning accuracy, poor discrimination accuracy, and limited range. Summary of the Invention

[0005] In response to the above situation and to overcome the shortcomings of the existing technology, the present invention aims to provide a biodiversity monitoring system that solves the problems of traditional biodiversity monitoring, such as single data, low accuracy, slow response, and difficult deployment. The above technical objectives are achieved through the following technical solutions: A biodiversity monitoring system comprising: An on-site monitoring device, comprising a structural member, a GPS positioning module, a data acquisition module, a computing and storage module, and a communication power supply module, wherein the GPS positioning module, the data acquisition module, the computing and storage module, and the communication power supply module are all arranged on the structural member; The data acquisition module includes a microphone array, an infrared camera, and an environmental sensor group. The microphone array includes multiple groups of high-sensitivity omnidirectional microphones, which are equidistantly spaced to form multi-channel voiceprint capture. The infrared camera is set on one side of the microphone array to verify the voiceprint recognition results. The environmental sensor group includes a temperature sensor, a humidity sensor, a light sensor, and an air pressure sensor to record environmental parameters such as temperature, humidity, light, and air pressure to assist in data analysis. The computing and storage module includes an embedded processor and a local storage hard disk. The data acquisition module transmits data to the local storage hard disk for backup and simultaneously transmits the data to the embedded processor. The embedded processor performs noise reduction and recognition processing on the image information and voiceprint information. The cloud management platform, the on-site detection device realizes signal connection with the cloud management platform through the communication function of the communication power module.

[0006] Furthermore, the communication and power module includes a communication module, a power supply module, and a power management chip. The power management chip is connected to the power supply module, and the power supply module is composed of a lithium battery pack and a solar panel.

[0007] Furthermore, the structural member includes an adjustable mounting bracket and a protective shell. The protective shell is arranged on the adjustable mounting bracket. The protective shell is provided with a monitoring port for monitoring by a microphone array and an infrared camera. The monitoring port is equipped with a sealing rubber ring.

[0008] Furthermore, the cloud management platform is equipped with a GIS map. After the on-site monitoring device transmits the voiceprint recognition result to the cloud management platform, the voiceprint recognition result is superimposed on the GIS map and a species distribution heat map is displayed.

[0009] Furthermore, the data acquisition module also includes an odor sensor.

[0010] In summary, the present invention has the following beneficial effects: ① This invention uses multi-channel capture and positioning of the source of biological voiceprints. The microphone array is combined with the TDOA (time difference of arrival) algorithm to achieve high-precision sound source positioning of ±5°, effectively suppressing lateral noise (such as wind and water flow), and improving voiceprint recognition capabilities in complex environments. ② This invention uses multiple sensors to collaboratively verify the source of biological voiceprints. The infrared camera matches the voiceprint data in time and space to verify the authenticity of the target organism. The odor sensor detects animal pheromones and cross-validates with the voiceprint and image data to further reduce the false alarm rate. The environmental sensor group provides ecological background parameters to assist in analyzing the correlation between species behavior and environment. ③ The present invention uses locally independently deployed embedded processing to perform lightweight data processing, reduce server load pressure, and upload data information in a classified manner, reducing bandwidth pressure, and is suitable for deployment in remote areas; ④ The practical hybrid power supply system of the present invention ensures the long-term operation of equipment in an off-grid environment. Its protection and adaptability structure are suitable for deployment in most harsh environments; ⑤ The present invention superimposes the voiceprint recognition results on the GIS map to generate a species distribution heat map, which intuitively displays the spatial characteristics of biodiversity. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] The drawings described herein are used to provide a further understanding of the present invention and constitute a part of this application, but do not constitute an improper limitation of the present invention. In the drawings: Figure 1 It is a schematic flow diagram of the present invention; Figure 2 It is a system structure diagram of the present invention.

[0012] In the figure, 1. On-site monitoring device; 101. Structural parts; 1011. Adjustable bracket; 1012. Protective shell; 102. GPS positioning module; 103. Data acquisition module; 1031. Microphone array; 1032. Infrared camera; 1033. Odor sensor; 1034. Environmental sensor group; 104. Computing and storage module; 1041. Embedded processor; 1042. Local storage hard disk; 105. Communication power module; 1051. Communication module; 1052. Power module; 1053. Power management chip; 2. Cloud management platform. DETAILED DESCRIPTION

[0013] The above and other technical contents, features and effects of the present invention are described below with reference to the attached Figure 1 To the attached Figure 2 The detailed description of the embodiments will clearly show that the structural contents mentioned in the following embodiments are all based on the accompanying drawings.

[0014] Various exemplary embodiments of the present invention will be described below with reference to the accompanying drawings. Example

[0015] A biodiversity monitoring system comprising: On-site monitoring device 1 and cloud management platform 2.

[0016] The field monitoring device 1 includes a structural component 101, a GPS positioning module 102, a data acquisition module 103, a computing and storage module 104, and a communication power supply module 105. The GPS positioning module 102, the data acquisition module 103, the computing and storage module 104, and the communication power supply module 105 are all arranged on the structural component 101.

[0017] The data acquisition module 103 includes a microphone array 1031, an infrared camera 1032, and an environmental sensor group 1034. The microphone array 1031 includes multiple groups of high-sensitivity omnidirectional microphones. The multiple groups of high-sensitivity omnidirectional microphones are equidistantly spaced to form multi-channel voiceprint capture. The high-sensitivity omnidirectional microphones are used to directly collect environmental sounds, covering a frequency range of 10Hz-50kHz, which covers a large number of biological species. In this embodiment, the high-sensitivity omnidirectional microphones together form a 4-channel sound source positioning function and are equipped with a TDOA algorithm. The microphone array 1031 is used to calculate the time difference between the sound reaching different microphones to improve the accuracy of sound source positioning, and its accuracy is controlled within ±5°. At the same time, compared with the single microphone collection method, the microphone array 1031 can suppress lateral noise to a certain extent.

[0018] The infrared camera 1032 is set on one side of the microphone array 1031. It can be used for normal shooting during the day and for shooting at night. The infrared camera 1032 is mainly used to verify the voiceprint recognition results. When the microphone array 1031 captures the source of the voiceprint, the infrared camera 1032 is used to verify the biological target of the voiceprint source, which can help improve the recognition accuracy and optimize the voiceprint recognition detection function.

[0019] The data acquisition module 103 also includes an odor sensor 1033. By adding the odor sensor 1033, it can be used to detect animal pheromones and cross-verify with voiceprint data and image data to further improve recognition accuracy.

[0020] The environmental sensor group 1034 includes a temperature sensor, a humidity sensor, a light sensor, and an air pressure sensor, which records environmental parameters such as temperature, humidity, light, and air pressure, and assists in data analysis. That is, the device uses a high-sensitivity microphone array 1031 to collect environmental sounds, synchronously record GPS coordinates, timestamps, and environmental parameters, and perform subsequent transmission and processing steps.

[0021] The computing and storage module 104 includes an embedded processor 1041 and a local storage hard disk 1042. After the data acquisition module 103 obtains the data information, it will be synchronously transmitted to the cloud management platform 2 and the local storage hard disk 1042. The local storage hard disk 1042 can save the data locally on the device, cache the original audio and processing results, and prevent data loss due to network interruption. The above data information will also be synchronously transmitted to the embedded processor 1041. The embedded processor 1041 runs a local lightweight model to perform noise reduction and recognition processing on the image information and voiceprint information. The noise reduction part will be implemented using a convolutional recurrent network, and the filtering effect of wind and rain sounds will be improved by 40%. Voiceprint recognition uses the EfficientNet-B0 model to output species probability.

[0022] During the audio data transmission process, the data uploaded to the local storage hard disk 1042 is different from the data uploaded to the cloud management platform 2. The original image data and audio data will be completely stored in the local storage hard disk 1042. For the data information that needs to be uploaded to the cloud management platform 2, Opus encoding is used to compress the audio to 10% of the original size while retaining the key frequency band information. In this way, only the key data information after noise reduction, recognition, and classification, such as feature vectors and recognition results, can be uploaded, which greatly reduces the bandwidth requirements of the on-site monitoring device 1.

[0023] The communication and power module includes a communication module 1051, a power supply module, and a power management chip 1053. The on-site detection device realizes signal connection with the cloud management platform 2 through the communication function of the communication power module 105. The communication module 1051 adopts the NB-IoT module to realize signal connection transmission.

[0024] The power management chip 1053 is connected to the power supply module, which is composed of a 12V / 20Ah lithium battery pack and a 20W solar panel. The entire power supply module will continuously provide power to the field monitoring device 1. Since it is equipped with both a lithium battery pack and a solar panel, the device can adapt to an off-grid environment and is not afraid of rainy weather. The power management chip 1053 supports dynamic adjustment of power consumption.

[0025] The structural component 101 includes an adjustable mounting bracket and a protective shell 1012. The adjustable bracket 1011 will support multiple installation methods according to the on-site installation environment, such as tree hanging, ground fixing, floating, etc. The protective shell 1012 will also support multiple levels of protection according to the installation environment, mainly for waterproof, dustproof, insect-proof, anti-bite and other functions.

[0026] The protective shell 1012 is set on an adjustable mounting bracket. The protective shell 1012 is provided with a monitoring port for monitoring by the microphone array 1031 and the infrared camera 1032. The monitoring port is equipped with a sealing rubber ring.

[0027] The cloud management platform 2 is equipped with a GIS map. After the on-site monitoring device 1 transmits the voiceprint recognition result to the cloud management platform 2, the voiceprint recognition result is superimposed on the GIS map and a species distribution heat map is displayed.

[0028] The above is a further detailed description of the present invention in combination with specific implementation methods, and it cannot be determined that the specific implementation of the present invention is limited to this; for technical personnel in the technical fields to which the present invention belongs and related technical fields, based on the technical solution ideas of the present invention, the expansion and replacement of operating methods and data should all fall within the scope of protection of the present invention.

Claims

1. A biodiversity monitoring system, characterized in that: include: A field monitoring device (1), the field monitoring device (1) comprising a structural member (101), a GPS positioning module (102), a data acquisition module (103), a computing and storage module (104), and a communication power supply module (105), wherein the GPS positioning module (102), the data acquisition module (103), the computing and storage module (104), and the communication power supply module (105) are all arranged on the structural member (101); The data acquisition module (103) includes a microphone array (1031), an infrared camera (1032), and an environmental sensor group (1034). The microphone array (1031) includes multiple groups of high-sensitivity omnidirectional microphones. The multiple groups of high-sensitivity omnidirectional microphones are arranged at equal intervals to form a multi-channel voiceprint capture. The infrared camera (1032) is arranged on one side of the microphone array (1031) to verify the voiceprint recognition result. The environmental sensor group (1034) includes a temperature sensor, a humidity sensor, a light sensor, and an air pressure sensor to record environmental parameters such as temperature, humidity, light, and air pressure to assist in data analysis. The computing storage module (104) includes an embedded processor (1041) and a local storage hard disk (1042). The data acquisition module (103) transmits data to the local storage hard disk (1042) for backup and simultaneously transmits the data to the embedded processor (1041). The embedded processor (1041) performs noise reduction and recognition processing on the image information and voiceprint information. The cloud management platform (2) is connected to the cloud management platform (2) by a communication function of the communication power module (105).

2. A biodiversity monitoring system according to claim 1, characterized in that: The communication and power module comprises a communication module (1051), a power supply module, and a power management chip (1053). The power management chip (1053) is connected to the power supply module, and the power supply module is composed of a lithium battery pack and a solar panel.

3. A biodiversity monitoring system according to claim 1, characterized in that: The structural member (101) comprises an adjustable mounting bracket and a protective shell (1012), wherein the protective shell (1012) is arranged on the adjustable mounting bracket, and a monitoring port for monitoring by a microphone array (1031) and an infrared camera (1032) is provided on the protective shell (1012), and a sealing rubber ring is provided at the monitoring port.

4. A biodiversity monitoring system according to claim 1, characterized in that: The cloud management platform (2) is equipped with a GIS map. After the on-site monitoring device (1) transmits the voiceprint recognition result to the cloud management platform (2), the voiceprint recognition result is superimposed on the GIS map and a species distribution heat map is displayed.

5. The biodiversity monitoring system according to claim 1, characterized in that: The data acquisition module (103) further includes an odor sensor (1033).

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