CN103905559A

CN103905559A - Valuable and rare bird population distribution detection system based on birdcall voiceprint characteristics

Info

Publication number: CN103905559A
Application number: CN201410146454.XA
Authority: CN
Inventors: 张小恒
Original assignee: Chongqing Technology and Business Institute
Current assignee: Chongqing Technology and Business Institute
Priority date: 2014-04-14
Filing date: 2014-04-14
Publication date: 2014-07-02

Abstract

The invention provides a valuable and rare bird population distribution detection system based on birdcall voiceprint characteristics. The valuable and rare bird population distribution detection system is characterized in that voiceprint recognition is carried out on birdcalls by arranging a plurality of sensor nodes within a geographic area to obtain geographic position information and appearing time information of certain kinds of valuable and rare birds, and therefore the popularization distribution conditions of the valuable and rare birds can be analyzed. The valuable and rare bird population distribution detection system comprises the birdcall intelligent sensor nodes, a ZigBee self-organizing sensor network, a ZigBee-to-Internet access gateway, an Internet cloud computing platform and a valuable and rare bird data integration and analysis center.

Description

A kind of Rare Birds population distribution detection system based on tweedle vocal print characteristic

Technical field

The present invention relates to a kind of detection system, the detection system that particularly a kind of Rare Birds population distributes.

Background technology

Observation to Rare Birds and detection have extremely important ecosystem environment protection meaning; at present generally adopt far infrared to trigger the mode of taking pictures to the detection of Rare Birds; as long as there is bird in detector front through just taking pictures to it; Scientific Research Workers can regularly take out photo data analysis from the storage medium of detector, thereby show that the population analysis of this birds and other perch situation.Far infrared can not be distinguished different birds, or even the animal of other kinds, can cause a large amount of redundancy invalid informations to exist, regularly collect pictures the also science not very of mode of data of staff, because wild birds is generally distributed in unfrequented the Nature, artificial Data acquisition, all can expend certain cost and inconvenience each time.

The Rare Birds population distribution detection system of the present invention's design is utilized the vocal print characteristic of birds cry, can automatically identify different birds and the positional information of these birds is sent to data center by network in real time, having realized the dynamic monitoring that full-automatic round-the-clock Rare Birds population distributes.Be extremely important scientific research academic research platform, there is the high value of environment and ecological protection.

Summary of the invention

Birds cry intelligent sensor node is distributed in a geographic area that needs on a large scale to monitor according to geographical position coordinates, once cellular APPROXIMATE DISTRIBUTION, and each sensor node radiation radius is 100 meters, there are 50 meters of region overlappings in adjacent node, and numbers according to this.A ZigBee wireless transport module of each node device configuration, forms a sensor network.Sensor node Real-time Collection node acoustic information around, audio frequency is inputted the inner vocal print characteristic information wherein that also extracts of node device after signal amplifies, if find, the vocal print feature templates of itself and certain Rare Birds matches, send kind name information and the node serial number information of these birds by the ZigBee wireless transport module on sensor node, Self-organizing Sensor Networks turns Internet access gateway by these communications to ZigBee, this IAD is converted into IP data by ZigBee data again and propagates on the internet, and finally arrive Rare Birds data integration and analysis center.Dependence the Internet, center cloud platform, the geographical position (error is no more than 50 meters) occurring and time of occurring (in information with timestamp), just can analyze the dynamic population distribution situation of this Rare Birds in a period of time according to this Rare Birds.

Technique scheme of the present invention is compared with prior art scheme, has the following advantages:

A. catch and analyze birds voiceprint and can accurately distinguish the birds that difference can sounding;

B. audio collection interface and ZigBee wireless network are cheap, are conducive to extensive use;

C. the distribution of birds cry intelligent sensor node is wide, and adjacent node is no more than 100 meters, and all weather operations in real time can reflect the Dynamic Geographic positional information of monitored birds comprehensively;

D. system fully automatic working, can, without manual intervention, can reduce scientific and technical research personnel's burden greatly.

Accompanying drawing explanation

Fig. 1 is the system block diagram forming according to one embodiment of present invention;

In figure: 01-birds cry intelligent sensor node, A001, A002 ... A-N-ZigBee Self-organizing Sensor Networks, B001, B002 ... B-N-ZigBee turns Internet access gateway, C001-the Internet cloud computing platform, the data integration of C002-Rare Birds and analysis center;

Fig. 2 is birds cry intelligent sensor node structure chart;

Fig. 3 is an embodiment flow chart relevant with the present invention.

Embodiment

Below, in conjunction with the accompanying drawings and embodiments the present invention is elaborated.

Fig. 1 is the system block diagram forming according to one embodiment of present invention.

As schemed: birds cry intelligent sensor node 01, ZigBee Self-organizing Sensor Networks (A001, A002, A-N), ZigBee turns Internet access gateway (B001, B002, B-N), the Internet cloud computing platform C001, Rare Birds data integration and analysis center C002.

Fig. 2 is birds cry intelligent sensor node structure chart;

As schemed: birds voiceprint analysis module J 001, ZigBee module J 002, lithium battery module J003, birds vocal print characteristic parameter extraction S001, treasures birds vocal print feature samples storehouse S002, analyses and comparison S003, information classification and selectivity send S004, audio frequency amplifier input interface I001, ZigBee wireless receiving and dispatching interface I002, internal interface I003.

Fig. 3 is an embodiment flow chart relevant with the present invention;

A, detector node audio-frequency information gather, and its specific embodiment is that the audio frequency amplifier input interface I001 that sound is called intelligent sensor node 01 by birds enters in node;

B, treasure bird vocal print planting modes on sink characteristic parameter extraction, if valuable vocal print enters vocal print, classification is processed, otherwise abandons.Its specific embodiment is 4 software module birds vocal print characteristic parameter extraction S001 in birds voiceprint analysis module J 001 in birds cry intelligent sensor node 01, treasure birds vocal print feature samples storehouse S002, analyses and comparison S003, information classification and selectivity send S004 collaborative work, and the relevant information of valuable vocal print is sent to ZigBee module J 002 by internal interface I003.

C, send bird kind title and node serial number information by ZigBee wave point, then turn internet gateway through ZigBee, finally reach data integration analysis center.Its specific embodiment is that birds cry intelligent sensor node 01 sends bird kind title by ZigBee wireless receiving and dispatching interface I002 and node serial number information arrives ZigBee Self-organizing Sensor Networks A001, turn Internet access gateway B001 through ZigBee again, finally reach Rare Birds data integration and analysis center C002.

Claims

1. the Rare Birds population distribution detection system based on tweedle vocal print characteristic, comprise birds cry intelligent sensor node 01, ZigBee Self-organizing Sensor Networks (A001, A002, A-N), ZigBee turns Internet access gateway (B001, B002, B-N), the Internet cloud computing platform C001, Rare Birds data integration and analysis center C002.

2. Rare Birds population distribution detection system according to claim 1, it is characterized in that: birds cry intelligent sensor node 01 has the birds of treasuring of needs monitoring and calls information material, the cry information that detects birds when intelligent sensor node 01 with deposit in treasure birds voiceprint and coincide time, just report kind title and the sensor node number information of these birds by ZigBee wireless transport module.