CN110031904A - There are detection systems for a kind of indoor occupant based on low resolution infrared thermal imaging - Google Patents

There are detection systems for a kind of indoor occupant based on low resolution infrared thermal imaging Download PDF

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Publication number
CN110031904A
CN110031904A CN201910318796.8A CN201910318796A CN110031904A CN 110031904 A CN110031904 A CN 110031904A CN 201910318796 A CN201910318796 A CN 201910318796A CN 110031904 A CN110031904 A CN 110031904A
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thermal imaging
module
low resolution
infrared
layer
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CN110031904B (en
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江灏
张横舟
陈静
缪希仁
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Fuzhou University
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Fuzhou University
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01JMEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
    • G01J5/00Radiation pyrometry, e.g. infrared or optical thermometry
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01JMEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
    • G01J5/00Radiation pyrometry, e.g. infrared or optical thermometry
    • G01J5/48Thermography; Techniques using wholly visual means
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01VGEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
    • G01V3/00Electric or magnetic prospecting or detecting; Measuring magnetic field characteristics of the earth, e.g. declination, deviation
    • G01V3/12Electric or magnetic prospecting or detecting; Measuring magnetic field characteristics of the earth, e.g. declination, deviation operating with electromagnetic waves
    • GPHYSICS
    • G08SIGNALLING
    • G08CTRANSMISSION SYSTEMS FOR MEASURED VALUES, CONTROL OR SIMILAR SIGNALS
    • G08C17/00Arrangements for transmitting signals characterised by the use of a wireless electrical link
    • G08C17/02Arrangements for transmitting signals characterised by the use of a wireless electrical link using a radio link
    • GPHYSICS
    • G08SIGNALLING
    • G08CTRANSMISSION SYSTEMS FOR MEASURED VALUES, CONTROL OR SIMILAR SIGNALS
    • G08C19/00Electric signal transmission systems
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W4/00Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/30Services specially adapted for particular environments, situations or purposes
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W4/00Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/30Services specially adapted for particular environments, situations or purposes
    • H04W4/33Services specially adapted for particular environments, situations or purposes for indoor environments, e.g. buildings
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W4/00Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/30Services specially adapted for particular environments, situations or purposes
    • H04W4/38Services specially adapted for particular environments, situations or purposes for collecting sensor information
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W84/00Network topologies
    • H04W84/18Self-organising networks, e.g. ad-hoc networks or sensor networks
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01JMEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
    • G01J5/00Radiation pyrometry, e.g. infrared or optical thermometry
    • G01J2005/0077Imaging

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Remote Sensing (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Spectroscopy & Molecular Physics (AREA)
  • Geology (AREA)
  • Geophysics (AREA)
  • General Life Sciences & Earth Sciences (AREA)
  • Environmental & Geological Engineering (AREA)
  • Electromagnetism (AREA)
  • Radiation Pyrometers (AREA)
  • Geophysics And Detection Of Objects (AREA)

Abstract

The present invention relates to a kind of indoor occupant based on low resolution infrared thermal imaging, there are detection systems, including detection module, communication module, infrared collector and upper computer module based on low resolution infrared thermal imaging sensor;Detection module includes low resolution infrared thermal imaging sensor;The communication module is connected with detection module, the communication of infrared collector, and infrared collector is connected with host computer communication, and the data will test module are transmitted to host computer, and the control instruction of host computer is sent to detection module;The upper computer module is after receiving the frame temperature distributed data that detection module transmission comes, the variance of Temperature Distribution is calculated first, whether differentiated in monitoring region according to calculated result with the presence of personnel, if there is, it then further uses machine learning algorithm to classify to the specific active state of personnel, next frame data is continued to if not.Cost is relatively low by the present invention, and in conjunction with software management platform, monitoring while larger range may be implemented.

Description

There are detection systems for a kind of indoor occupant based on low resolution infrared thermal imaging
Technical field
The present invention relates to intelligent building technical field, especially a kind of indoor occupant based on low resolution infrared thermal imaging There are detection systems.
Background technique
With the continuous development of technology, the degree of intelligent building is higher and higher.Wherein smart home, Lighting control are empty Intelligent people's sense is adjusted, security device, the links such as access control need not only to enough be detected with no human body, and need to obtain more detailed Thin information, such as personnel amount, motion state, physiological status etc., while in order to manage concentratedly, it needs numerous sensors Module by it is a kind of low cost, facilitate the means of deployment to connect, information is summarized into feeding central control system.
Nowadays common human perception device there are several types of.One, single-point pyroelectric infrared sensor, the device use Infra-red radiation within the scope of certain angle is converged to two infrared sensors arranged side by side by Fresnel Lenses, according to the difference of amount of radiation Someone is not judged whether.The disadvantage is that the absolute temperature of object and the direction of motion of object cannot be exported, it be easy to cause the mistake of personnel Sentence, and not can recognize number, and the lens volume of the device is larger, device is integrally not easy to minimize.Two, it is based on machine vision Human perception device, the device by camera collection image, by machine vision technique detect in picture whether someone.It lacks Point is that do not have secret protection ability, cannot be used in regions such as hotel guest room, toilets.As it can be seen that existing indoor occupant sense Know that device is no longer satisfied the requirement of intelligent building.
Previous thermal imaging monitoring is all that high-resolution infrared thermal imagery picture is shot using expensive thermal imaging system (as schemed 1), then according to the image in picture it is artificial or using visual determination whether presence of people.And traditional thermal imaging system generates The process of thermal imagery picture is that each pixel of infrared radiation sensor receives different infrared radiation amounts in machine, each Pixel all converts thereof into a temperature value, then each specific temperature is converted into a certain particular color by software, so It is to intuitively state and come out by temperature once foring a width thermal imagery picture, and by temperature transition at color this point For mankind's viewing, the temperature for the only a pile that machine itself measures.The thermography effect of system is pretty good, but thermal imaging system is non- Chang Anggui does not gear to actual circumstances for large-scale Indoor Video.
Summary of the invention
In view of this, the purpose of the present invention is to propose to a kind of there is inspection in the indoor occupant based on low resolution infrared thermal imaging Examining system, composition is simple, cost is relatively low, and in conjunction with software management platform, monitoring while larger range may be implemented.
The present invention is realized using following scheme: there are detection systems for a kind of indoor occupant based on low resolution infrared thermal imaging System, including detection module, communication module, infrared collector and host computer mould based on low resolution infrared thermal imaging sensor Block;The detection module includes low resolution infrared thermal imaging sensor;The communication module and detection module, infrared collector Communication is connected, and the infrared collector is connected with host computer communication, and the data will test module are transmitted to host computer, and will The control instruction of host computer is sent to detection module;
The upper computer module calculates Temperature Distribution after receiving the frame temperature distributed data that detection module transmission comes first Variance, according to calculated result differentiate monitoring region in whether with the presence of personnel, if so, then further use machine learning calculation Method classifies to the specific active state of personnel, and next frame data are continued to if not.
Further, described to be classified using specific active state of the machine learning algorithm to personnel specifically: institute The classifier used in the machine learning algorithm used is made of LSTM unit and the mixing of full Connection Neural Network;Wherein first layer It is made of the identical LSTM unit of multiple structures, wherein each LSTM unit is only responsible for the temperature of the every a line of processing, it is each in this way LSTM unit can recognize information from a trip temperature;The second layer is full Connection Neural Network, and input is whole LSTM The combination that unit is exported in last state, the effect of this layer are in conjunction with the information recognized from each LSTM unit, output There are situations for the indoor occupant of estimation.
Further, the detection module includes the infrared node for being distributed in more than one indoor position;
Wherein infrared node is an independent detection device, is three layer circuit board structures;First layer is master control and detecting layer, is somebody's turn to do Equipped with the low resolution infrared thermal imaging sensor on layer circuit board;The second layer is bus plane, to first layer and the Three layers of upper electronics carried;Third layer is communication layers, equipped with the communication module;
Wherein infrared collector is used to and the temperature data uploading that is distributed in infrared node throughout the room and communicates and will be collected into To host computer.
Further, the low resolution infrared thermal imaging sensor is infrared sensor array.
Further, the bus plane be bus plane with MICRO USB interface, the bus plane for carrying button cell, Or carry the bus plane of lithium-sulfur cell and charging management chip.
Further, the communication layers are the communication layers based on ZigBee or the communication layers based on RS485;When its be based on When the communication layers of ZigBee, the layer is equipped with including ZigBee radio frequency chip, ZigBee main control chip, crystal oscillating circuit and power supply electricity Road;When it is communication layers based on RS485, this layer carrying include RS485 turn TTL chip and to extraneous RS485 The connection terminal of connection.
Compared with prior art, the invention has the following beneficial effects: the present invention is by low resolution infrared thermal imaging sensor Applied to Indoor Video, the full-featured detection system of a set of low cost is constructed.On mountable metope indoors or ceiling, Not only traditional security device can have been substituted, improved security protection efficiency, but also the scope of application can be expanded, eliminated since privacy concern is brought Detection dead angle.It is particularly suitable for the monitoring of hotel guest room situation, the intrusion detection of all kinds of room areas.The system can detect people The absolute temperature of body and indoor environment can be in the peace for improving building in conjunction with intelligent building access control, air-conditioning, illumination etc. Energy consumption is reduced while Quan Xing, comfort, is more energy-saving and environmentally friendly.System uses ZigBee ad hoc network, using wireless telecommunications, Each module is both that terminal can receive and send messages and relay the information that distant place module can be forwarded to send.Effectively reduce early period The cost and complexity of deployed with devices, greatly improve the scalability of system.Further, system uses machine learning techniques, can be with Differentiate that whether there is or not personnel for interior, compared to traditional infrared detection, the accuracy of judgement is increased substantially.
Detailed description of the invention
Fig. 1 is the thermal imagery picture of traditional thermal imaging system shooting in background of invention.
Fig. 2 is the thermal imagery picture that the infrared sensor array of the embodiment of the present invention is shot.
Fig. 3 is the moving direction that human body is judged by low resolution thermography of the embodiment of the present invention.
Fig. 4 is the infrared node structural schematic diagram of the embodiment of the present invention.
Fig. 5 is the system principle schematic diagram of the embodiment of the present invention.
Fig. 6 is the unified connecting interface definition of three layer circuit boards of the embodiment of the present invention.
Specific embodiment
The present invention will be further described with reference to the accompanying drawings and embodiments.
It is noted that described further below be all exemplary, it is intended to provide further instruction to the application.Unless another It indicates, all technical and scientific terms used herein has usual with the application person of an ordinary skill in the technical field The identical meanings of understanding.
It should be noted that term used herein above is merely to describe specific embodiment, and be not intended to restricted root According to the illustrative embodiments of the application.As used herein, unless the context clearly indicates otherwise, otherwise singular Also it is intended to include plural form, additionally, it should be understood that, when in the present specification using term "comprising" and/or " packet Include " when, indicate existing characteristics, step, operation, device, component and/or their combination.
As shown in figure 5, present embodiments providing a kind of indoor occupant presence detection based on low resolution infrared thermal imaging System, including detection module, communication module, infrared collector and host computer based on low resolution infrared thermal imaging sensor Module;The detection module includes low resolution infrared thermal imaging sensor;The communication module and detection module, infrared collection Device communication is connected, and the infrared collector is connected with host computer communication, and the data will test module are transmitted to host computer, and The control instruction of host computer is sent to detection module;
The upper computer module calculates Temperature Distribution after receiving the frame temperature distributed data that detection module transmission comes first Variance, according to calculated result differentiate monitoring region in whether with the presence of personnel, if so, then further use machine learning calculation Method classifies to the specific active state of personnel, and next frame data are continued to if not.
In the present embodiment, described classify specifically using specific active state of the machine learning algorithm to personnel Are as follows: the classifier used in used machine learning algorithm is made of LSTM unit and the mixing of full Connection Neural Network;Wherein First layer is made of the identical LSTM unit of multiple structures, wherein each LSTM unit is only responsible for the temperature (one of the every a line of processing Frame data include 8 rows altogether, include 8 temperature datas in every row), LSTM unit each in this way can understand from a trip temperature To information;The second layer is full Connection Neural Network (Softmax makees activation primitive), and input is whole LSTM unit in newest shape The combination exported when state, the effect of this layer are in conjunction with the information recognized from each LSTM unit, the indoor people of output estimation There are situations by member.
In the present embodiment, the detection module includes the infrared node for being distributed in more than one indoor position;
As shown in figure 4, wherein infrared node is an independent detection device, it is three layer circuit board structures;First layer is master control And detecting layer, equipped with the low resolution infrared thermal imaging sensor on the layer circuit board;The second layer is bus plane, to give The electronics carried on first layer and third layer;Third layer is communication layers, equipped with the communication module;
Wherein infrared collector is used to and the temperature data uploading that is distributed in infrared node throughout the room and communicates and will be collected into To host computer.
Preferably, in the present embodiment, the detection module includes low resolution infrared thermal imaging sensor, MCU minimum System, power supply module etc..MCU is communicated using IIC interface with low resolution infrared thermal imaging sensor, also can be to thermal imagery sensor It is configured, is allowed to issue interrupt signal from trend MCU when meeting the temperature threshold of setting.
Wherein, infrared thermal imaging sensor only temperature collection data only can not distinguish object by temperature data, more at all Detail image can not be obtained, therefore avoids the problem of invading personnel's privacy within doors, eliminates the dead angle of traditional video surveillance.
In the present embodiment, the low resolution infrared thermal imaging sensor is infrared sensor array.The present embodiment institute With for low resolution infrared thermal imaging sensor, under the premise of meeting detection and requiring, compared to the thermal infrared imager of profession, pole The earth reduces costs.As shown in Fig. 2, the model that infrared sensor array can use are as follows: Panasonic GRID-EYE AMG8833, the model sensor only acquire the temperature data that 8 rows 8 arrange total 64 pixels, the thermal imagery that software converts every time Picture is as shown in Figure 2.It can be seen that wherein amounting to 64 block of pixels, different colors represents different temperature, i.e., when someone into When entering in search coverage, certain several pixel in 64 pixels can show high temperature, and rest of pixels continues to keep ambient temperature Data.In other words, traditional thermography, as soon as thousands of a pixels are just contained in frame picture, only with human eye can judge either with or without People also mostly uses the mode of computer vision to handle image even if having the function that automatic identification has nobody.Traditional Thermography effect is pretty good, but thermal imaging system is very expensive, does not gear to actual circumstances for large-scale Indoor Video.The present embodiment is adopted Infrared sensor array, principle and thermal imaging system are similar, but because resolution ratio is low (pixel is few), its cost is also It considerably reduces.Simultaneously as resolution ratio is lower, the information for including in a frame data is few, only relies on thermography with artificial, May can only substantially determine whether personnel, the rough moving direction of personnel (such as Fig. 3), but be unable to accurate judgement whether there is or not personnel with And the more detailed information such as personnel amount, therefore, the present embodiment is handled data using machine learning algorithm, because of machine Suitable algorithm can excavate information abundant, such as LSTM, long memory network in short-term from these temperature datas in study Deng.
In the present embodiment, the bus plane is bus plane with MICRO USB interface, the power supply for carrying button cell Layer or the bus plane for carrying lithium ion battery and charging management chip.
In the present embodiment, the communication layers are the communication layers based on ZigBee or the communication layers based on RS485;When it is When communication layers based on ZigBee, the layer is equipped with including ZigBee radio frequency chip, ZigBee main control chip, crystal oscillating circuit and confession Circuit;When it is communication layers based on RS485, this layer carrying include RS485 turn TTL chip and to the external world The connection terminal of RS485 connection.
Preferably, in the present embodiment, on the first layer circuit board, infrared thermal imaging sensor can be placed in circuit board just Main control singlechip chip and its crystal oscillating circuit, reset circuit, 3.3V power supply chip etc. has can be set in face, the back side of circuit board; Wherein 3.3V power supply chip can by PIN1 in connecting interface and PIN5 into infrared node 3.3V power supply in need Chip, power elements.For convenience of the replacement of connection and module between each layer, three layer circuit boards have used unified connecting interface Definition is as shown in Figure 6;
Second layer circuit board is bus plane, can provide 5V power supply by connecting interface for entire infrared node.Wherein 3.3V electricity The power supply of source chip itself is also powered by bus plane by connecting interface.The present embodiment has flexible and varied supplier of electricity Formula devises the bus plane of diversified forms, only need to be original bus plane from infrared node if user will replace power supply mode Upper extraction is inserted into new bus plane.Further, the installation and debugging for convenience of the later period to infrared node (IN) and firmware USB is also mounted on circuit board and turns TTL chip for upgrading, the bus plane with MICRO USB interface, main control singlechip chip with Computer passes through USB connection.
Third layer is communication layers, and for the communication between infrared node (IN) and host computer, the present embodiment has multiplicity spirit Communication mode living, main ZigBee communication to be used.ZigBee radio frequency core is housed on the communication layer circuit board based on ZigBee Piece, ZigBee main control chip, crystal oscillating circuit and power supply circuit.In the biggish place of Electromagnetic Interference, infrared node (IN) can change It is communicated with RS485, i.e., one piece of the changing-over communication layer circuit board based on RS485 that there is RS485 to turn TTL chip.Based on RS485's It communicates and connection terminal is housed on layer circuit board, convenient and external world's RS485 connection.
Particularly, in the present embodiment, infrared collector is used to and is distributed in infrared node throughout the room (IN) communication And the temperature data being collected into is uploaded to computer by USB connecting line.In general, using ZigBee wireless communication mode. It is internal equipped with ZigBee radio frequency chip, main control singlechip and the communication chip communicated with computer.
Due to the present embodiment installation cost is cheap, simple installation, can pass through management system simultaneously monitor multiple rooms, will not Indoor occupant privacy is invaded, which is particularly suitable for hotel guest room personnel and there is detection and the invasion in all kinds of rooms inspection It surveys.Meanwhile the infrared node compact of the present embodiment, it is easily installed, in order to reach best detection effect and biggish inspection Range is surveyed, apart from 2 meters of ground, the region in five meters of radius can be can detect by this device side on metope;Or device is installed On roof, in order to guarantee measurement accuracy and measurement range, it is desirable that roof height is 3 meters to 5 meters.
Particularly, to meet low-power consumption requirement, extend battery, system also may operate in following modes: MCU Low power operation, timing wake-up and the data for reading thermal imagery sensor, when control system detection abnormal conditions occurs to interior in the middle The detection module in the region can be notified to detect indoor situations with the rate of maximum 10HZ, MCU is in full speed running state at this time.
Particularly, the communication module of the present embodiment mainly uses ZigBee ad hoc network module, the benefit of this communication modes It is that each node can not need additional router i.e. and the transmission of multi-hop mode can be used compared with long distance as router in network From.The module power on after can automatic network-building, i.e. module finds routing using directed diffusion, and this routing algorithm will record net The state of network, the routing of averagely recordable 190 destination nodes of each node, transmission speed and transmission are prolonged after network foundation When reach it is optimal.System is at the initial stage that powers on, and entire route network needs 1-5 minutes time to regenerate routing, in this section The routing of Web vector graphic flooding carries out data communication in time, and the transmission speed of network is slower at this time, specific communication protocol such as table 1, The trouble of manual networking is saved, and the later period is facilitated to add new equipment.
1 ZigBee module communication protocol of table
Information name Length Explanation
Packet header 2byte Packet header is made of the length of FE and packet, and length is that the data length of packet adds 4.
Source port number 1byte The source port number of packet.
Destination slogan 1byte The destination slogan of packet.
Remote address 2byte The address of far module, when sending data to module, remote address is the ground of object module Location.0x0000 indicates that this packet issues this module, and the packet of 0xFFFF can be addressed in present networks All nodes.When receiving data from module, remote address is the source address of data.
Data It is variable Include control routine and frame data
Packet tail 1byte Being fixed as FF indicates that a packet is transmitted.
Preferably, the present embodiment is configured with perfect platform management software, it can be detected simultaneously on backstage, handle each detection of analysis The active state of personnel in region, and shown by visualization interface, facilitate building management person to check.
The present embodiment can judge situation within doors and then control switch or the invasion inspection of light and air-conditioning according to testing result Observe and predict police.In conjunction with the position of detection module itself, the position of personnel indoors can be substantially estimated.Since detection module can measure Body surface absolute temperature, upper computer software can analyze personnel amount, and then control the temperature of air-conditioning and when the stream of people is excessively crowded It sounds an alarm and administrator is reminded to pay attention to.
The present embodiment is physically divided into two parts, is distributed in the infrared node (Infrared of indoor each position Node, IN) and the infrared collector (Infrared Collector, IC) that is connect with host computer.Wherein infrared node uses heap Folded is design, and first layer is low resolution infrared thermal imaging sensor and MCU minimum system;The second layer is bus plane, Ke Yigen Different power supply modes is selected according to different working environments, typical power supply mode has button cell, lithium battery or power supply line to supply Electricity;Third layer is communication layers, carries ZigBee module and communicates with infrared collector, and the limited place of electromagnetic environment in part can It is changed to wired connection.It is connected between above three layers of PCB using one group of inserting terminal, only need to simply plug can arbitrarily change confession Electricity and communication mode.Infrared collector is made of ZigBee and USB connecting line, connect transmitting-receiving number with host computer by virtual serial port According to.
It should be understood by those skilled in the art that, embodiments herein can provide as method, system or computer program Product.Therefore, complete hardware embodiment, complete software embodiment or reality combining software and hardware aspects can be used in the application Apply the form of example.Moreover, it wherein includes the computer of computer usable program code that the application, which can be used in one or more, The computer program implemented in usable storage medium (including but not limited to magnetic disk storage, CD-ROM, optical memory etc.) produces The form of product.
The application is referring to method, the process of equipment (system) and computer program product according to the embodiment of the present application Figure and/or block diagram describe.It should be understood that every one stream in flowchart and/or the block diagram can be realized by computer program instructions The combination of process and/or box in journey and/or box and flowchart and/or the block diagram.It can provide these computer programs Instruct the processor of general purpose computer, special purpose computer, Embedded Processor or other programmable data processing devices to produce A raw machine, so that being generated by the instruction that computer or the processor of other programmable data processing devices execute for real The device for the function of being specified in present one or more flows of the flowchart and/or one or more blocks of the block diagram.
These computer program instructions, which may also be stored in, is able to guide computer or other programmable data processing devices with spy Determine in the computer-readable memory that mode works, so that it includes referring to that instruction stored in the computer readable memory, which generates, Enable the manufacture of device, the command device realize in one box of one or more flows of the flowchart and/or block diagram or The function of being specified in multiple boxes.
These computer program instructions also can be loaded onto a computer or other programmable data processing device, so that counting Series of operation steps are executed on calculation machine or other programmable devices to generate computer implemented processing, thus in computer or The instruction executed on other programmable devices is provided for realizing in one or more flows of the flowchart and/or block diagram one The step of function of being specified in a box or multiple boxes.
The above described is only a preferred embodiment of the present invention, being not that the invention has other forms of limitations, appoint What those skilled in the art changed or be modified as possibly also with the technology contents of the disclosure above equivalent variations etc. Imitate embodiment.But without departing from the technical solutions of the present invention, according to the technical essence of the invention to above embodiments institute Any simple modification, equivalent variations and the remodeling made, still fall within the protection scope of technical solution of the present invention.

Claims (6)

1. there are detection systems for a kind of indoor occupant based on low resolution infrared thermal imaging, which is characterized in that including based on low Detection module, communication module, infrared collector and the upper computer module of resolution ratio infrared thermal imaging sensor;The detection mould Block includes low resolution infrared thermal imaging sensor;The communication module is connected with detection module, the communication of infrared collector, described The communication of infrared collector and host computer is connected, and the data will test module are transmitted to host computer, and by the control of host computer Instruction is sent to detection module;
The upper computer module calculates Temperature Distribution after receiving the frame temperature distributed data that detection module transmission comes first Variance, according to calculated result differentiate monitoring region in whether with the presence of personnel, if so, then further use machine learning calculation Method classifies to the specific active state of personnel, and next frame data are continued to if not.
2. a kind of indoor occupant based on low resolution infrared thermal imaging according to claim 1 is there are detection system, It is characterized in that, it is described to be classified using specific active state of the machine learning algorithm to personnel specifically: used machine The classifier used in device learning algorithm is made of LSTM unit and the mixing of full Connection Neural Network;Wherein first layer is by multiple knots The identical LSTM unit composition of structure, wherein each LSTM unit is only responsible for the temperature of the every a line of processing, LSTM unit each in this way Information can be recognized from a trip temperature;The second layer is full Connection Neural Network, and input is whole LSTM unit most The combination exported when new state, the effect of this layer are in conjunction with the information recognized from each LSTM unit, the room of output estimation There are situations by interior personnel.
3. a kind of indoor occupant based on low resolution infrared thermal imaging according to claim 1 is there are detection system, It is characterized in that, the detection module includes the infrared node for being distributed in more than one indoor position;
Wherein infrared node is an independent detection device, is three layer circuit board structures;First layer is master control and detecting layer, is somebody's turn to do Equipped with the low resolution infrared thermal imaging sensor on layer circuit board;The second layer is bus plane, to first layer and the Three layers of upper electronics carried;Third layer is communication layers, equipped with the communication module;
Wherein infrared collector is used to and the temperature data uploading that is distributed in infrared node throughout the room and communicates and will be collected into To host computer.
4. a kind of indoor occupant based on low resolution infrared thermal imaging according to claim 3 is there are detection system, It is characterized in that, the low resolution infrared thermal imaging sensor is infrared sensor array.
5. a kind of indoor occupant based on low resolution infrared thermal imaging according to claim 3 is there are detection system, It is characterized in that, the bus plane is bus plane with MICRO USB interface, carries the bus plane of button cell or carry lithium The bus plane of sulphur battery and charging management chip.
6. a kind of indoor occupant based on low resolution infrared thermal imaging according to claim 3 is there are detection system, It is characterized in that, the communication layers are the communication layers based on ZigBee or the communication layers based on RS485;When it is based on ZigBee's When communication layers, the layer is equipped with including ZigBee radio frequency chip, ZigBee main control chip, crystal oscillating circuit and power supply circuit;When it When for communication layers based on RS485, this layer carrying includes that RS485 turns TTL chip and to connect with extraneous RS485 route The connection terminal connect.
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