CN107396060A - Agriculture Internet of Things solar energy radio cam device and control method - Google Patents
Agriculture Internet of Things solar energy radio cam device and control method Download PDFInfo
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- CN107396060A CN107396060A CN201710739270.8A CN201710739270A CN107396060A CN 107396060 A CN107396060 A CN 107396060A CN 201710739270 A CN201710739270 A CN 201710739270A CN 107396060 A CN107396060 A CN 107396060A
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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
- H04N23/661—Transmitting camera control signals through networks, e.g. control via the Internet
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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
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
- H04N7/183—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a single remote source
- H04N7/185—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a single remote source from a mobile camera, e.g. for remote control
Abstract
The present invention provides agriculture Internet of Things solar energy radio cam device and control method, belongs to internet of things field, including data acquisition unit, cradle head control unit, video and NE and PMU.Data acquisition unit is connected with video and NE, and NE is transmitted to for gathering environmental data；Cradle head control unit is connected with video and NE, and the video data for controlling outside camera and outside camera being shot is transmitted to video and NE；Video and NE are used to receive the video data that the incoming environmental data of data acquisition unit and cradle head control unit are passed to, by being wirelessly or non-wirelessly transmitted to external server or user terminal.The technical problem of solution is that existing agriculture technology of Internet of things has the problems such as system is unstable, and insufficiency face, performance is unreliable, and power-on time is short and system data acquisition precision is not high, and visualization technique is outmoded backward.
Description
Technical field
The present invention relates to internet of things field, is specifically to be related to agriculture Internet of Things solar energy radio camera dress
Put and control method.
Background technology
The Cultivate administration pattern of traditional agriculture is based on being managed with personal experience, when should water, apply fertilizer, beating
Medicine and fertilising, the concentration and temperature, humidity, illumination, the concentration of carbon dioxide of laxative, how this supplies on demand, peasant entirely with
Experience, by feel, different plantation results occurs in different peasant households.This allow for peasant to the acquisition of information in farmland, analysis,
Processing all varies with each individual, and not only easily causes the waste of human and material resources, also the product quality produced can be made to differ, quantity
And quality can not also ensure.Internet of Things any required monitoring of collection in real time, is connected by various information sensing devices, is interactive
Object or the various needs such as process information, the huge network for being combined and being formed with internet.During with Internet of Things
The arrival in generation, in China, the operation of traditional agriculture and management mode can not gradually meet consumer demand.New agriculture
Industry management model continual exploitation is innovated.Agriculture technology of Internet of things can more accurately and comprehensively obtain animals and plants information.It is logical
Cross and various sensors, the first-class equipment of shooting are installed in farmland, plant etc., can be more accurately with gathering, collecting and dividing in time
Analysis crops, animal, air themperature, humidity, the soil water grade various information, and information is informed into agriculture in time by intelligent platform
Family, such peasant household's can take corresponding action in time according to collected information.Although current agriculture technology of Internet of things should
With extensive, but still have that system is unstable, and insufficiency face, performance is unreliable, power-on time is short and system data acquisition
The not high problems of precision.
The content of the invention
Unstable, insufficiency that the technical problems to be solved by the invention are that existing agriculture technology of Internet of things has a system
The problems such as face, performance is unreliable, and power-on time is short and system data acquisition precision is not high, and visualization technique is outmoded backward, there is provided
A kind of agriculture Internet of Things solar energy radio cam device and control method.
The present invention solves the above problems by the following technical programs：
Agriculture Internet of Things solar energy radio cam device, including data acquisition unit, cradle head control unit, video and net
Network unit and PMU；
The data acquisition unit is connected with video and NE, and NE is transmitted to for gathering environmental data；
The cradle head control unit is connected with video and NE, for controlling outside camera and outside camera
The video data of shooting is transmitted to video and NE；
The video and NE are used to receive the incoming environmental data of data acquisition unit and cradle head control unit passes
The video data entered, by being wirelessly or non-wirelessly transmitted to external server or user terminal；
The PMU is connected confession with data acquisition unit, cradle head control unit and video and NE respectively
Electricity.
In such scheme, preferably data acquisition unit includes GPS module, Temperature Humidity Sensor, optical sensor and
Multi-parameter fusion MIMO filtering algorithm main control modules；The output end of the GPS module and multi-parameter fusion MIMO filtering algorithm masters
Module connection is controlled, the particular location for gathering the device is transmitted to multi-parameter fusion MIMO filtering algorithm main control modules；The temperature
The output end of humidity sensor is connected with multi-parameter fusion MIMO filtering algorithm main control modules, for gathering the temperature of environment and wet
Degree is transmitted to multi-parameter fusion MIMO filtering algorithm main control modules；The output end of the optical sensor is filtered with multi-parameter fusion MIMO
Ripple algorithm main control module is connected, and multi-parameter fusion MIMO filtering algorithm main control modules are transmitted to for gathering intensity of illumination；It is described more
Parameter fusion MIMO filtering algorithms main control module is connected by 485 buses with video and NE, particular location reception,
Temperature, humidity and intensity of illumination are transmitted to video and NE.
In such scheme, preferably cradle head control unit includes head main control module, motor drive module and motor；Institute
The output end of head main control module is stated through motor drive module and motor connection, mould is driven for output control signal controlled motor
Block motor, which rotates, drives external camera to rotate；The head main control module receives the incoming video counts of external camera
According to, and video data is transmitted to video and NE.
In such scheme, preferably video and NE include WiFi module, network interface module, DSP Processor
And optical sensor；The output end of the optical sensor is connected with DSP Processor, is transmitted to for induced environment brightness at DSP
Manage device, DSP Processor according to brightness case control external camera whether shoot and whether the data of reception by wireless or
It is wired to be transmitted to external server or user terminal；The WiFi module is connected with DSP Processor, for being needed in DSP Processor
The data of transmission are by being wirelessly transmitted to external server or user terminal；The network interface module is connected with DSP Processor, is used for
The data for needing to transmit in DSP Processor are transmitted to external server or user terminal by wired.
In such scheme, preferably PMU includes solar cell, BUCK reduction voltage circuits, lithium battery, electricity
Power management circuits and electric energy management governor circuit；The solar cell is connected through BUCK reduction voltage circuits with lithium battery, for handle
Solar energy switch to electric energy through BUCK reduction voltage circuits carry out decompression be transmitted to lithium battery storage；The lithium battery output end is through power management
Circuit is connected power supply with data acquisition unit, cradle head control unit and video and NE respectively, and electric power management circuit is lithium
The voltage of constant cell is boosted or is depressured supply data acquisition unit, cradle head control unit and video and NE；Institute
State electric energy management governor circuit to be connected with BUCK reduction voltage circuits and electric power management circuit respectively, controlled for the lifting to voltage
System.
The control method of agriculture Internet of Things solar energy radio cam device, comprises the following steps,
Step 1：Use GPS module, Temperature Humidity Sensor and the optical sensor point installed inside online cam device
Not Cai Ji multi-parameter characteristic parameter include position parameter URFGPS, humiture parameter UPWtmpWith illumination parameter UPRTopt；
Step 2：Calculate comprehensive parameters observation information Zj(K), calculating process is as follows：Zj(K)=func [Zj(K-1),
URFGPS,j(K-1), UPWtmp,j(K+1),UPRTopt,j(K+1)T] wherein K is sampling sequence number, j is the sequence number of Parallel Sequence, and func is
Calculate the algorithm of comprehensive parameters observation information, URFGPS,jIt is expressed as j-th of position parameter URFGPS, UPWtmp,jIt is expressed as j-th of temperature
Humidity parameter UPWtmp, UPRTopt,jIt is expressed as j-th of illumination parameter UPRTopt；URFGPS,j(K-1) it is the jth of the K-1 sampling sequence number
Individual position parameter URFGPS, UPWtmp,j(K+1) it is j-th of humiture parameter U of the K+1 sampling sequence numberPWtmp, UPRTopt,j(K+1)
For j-th of illumination parameter U of the K+1 sampling sequence numberPRTopt；
Step 3：The information fusion of system, specific steps are carried out using comprehensive parameters observation information and multi-parameter characteristic parameter
It is as follows：
Each multi-parameter characteristic parameter of system acquisition is built into N bar flight paths, and gathered data is synchronous, spatially
The same coordinate system is converted to, calculates the average of comprehensive parameters observation informationWherein K is sampling sequence
Number, j is the sequence number of Parallel Sequence, and N is the sequence number of Parallel Sequence；
Step 4：Move distance calculating is carried out to the sampled point Parallel Sequence of each characteristic parameter of multi-parameter characteristic parameter,
Detailed process is to calculate the distance of sampled point K N number of Parallel Sequence, will retain apart from reckling, remaining removing；
Step 5：The position parameter U that will be obtained in step 4RFGPS, humiture parameter UPWtmpWith position parameter UPRToptInput
Carry out calculating output processing data into multi-parameter fusion MIMO filtering algorithms；
Step 6：Processing data is by multi-parameter fusion MIMO filtering algorithms main control module to video by 485 bus transfers
After-treatment data are obtained after the DSP Processor processing of mixed-media network modules mixed-media, video and mixed-media network modules mixed-media, and DSP Processor is by after-treatment
The video signal of data and camera acquisition is carried out after handling in real time, and cloud is sent to by WiFi module or cable network
Server or user terminal.
In such scheme, preferably the detailed process of func algorithms is in step 2：
Step 2.1：Calculation position component parametersSpecially
Step 2.2：Calculate humiture component parametersSpecially
Step 2.3：Calculate illumination component parameterSpecially
Step 2.4：Calculate comprehensive parameters observation information Zj(K), it is specially
In such scheme, the specific algorithm preferably in step 4 is：
Step 4.1：Calculation position parameter URFGPSDistance be DRFGPS,j=| URFGPS,j(K) |-Z (K), take minimum rangeThen leave URFGPS,i(K) it is used as URFGPSK point sampling values virtual value, in sampled point K
Place, except the numbering i of Parallel Sequence, (corresponding data are URFGPS,i(K)), remaining data URFGPS,j(K)|j≠iIt is deleted；
Step 4.2：Calculate humiture parameter UPWtmpDistance DPWtmp,j=| UPWtmp,j(K) |-Z (K), take minimum rangeThen leave UPWtmp,i(K) it is used as UPWtmpK point sampling values virtual value, in sampled point K
Place, except the numbering i of Parallel Sequence, (corresponding data are UPWtmp,i(K)), remaining data UPWtmp,j(K)|j≠iIt is deleted；
Step 4.3：Calculate illumination parameter UPRToptDistance DPRTopt,j=| UPRTopt,j(K) |-Z (K), take minimum rangeThen leave UPRTopt,i(K) it is used as UPRToptK point sampling values virtual value, in sampled point K
Place, except the numbering i of Parallel Sequence, (corresponding data are UPRTopt,i(K)), remaining data UPRTopt,j(K)|j≠iDeleted
Remove.
Advantages of the present invention is with effect：
The present invention has invented a kind of new multi-parameter fusion MIMO filtering algorithms, makes system accuracy higher, calculates complicated
Spend low, the real-time of system can be improved；The multiprocessor hybrid processing system based on 485 buses is constructed in system, is used
Distributed computing, is greatly improved the disposal ability of system, while avoids using high-end polycaryon processor, effectively reduce into
This, improves heat-sinking capability；The illumination sensing data of multi-parameter fusion MIMO filtering algorithms collection is applied to the video of adjustment system
Acquisition process parameter, the quality of video image is improved, while can be that solar energy radio cam device position is provided
Illumination big data interface, so as to user configuration photovoltaic panel, meet Internet of Things future development needs；Machine system is new
Under the support of type algorithm, power consumption is lower, more efficient, it is possible to achieve the more optimal energy uses, it will obtains more preferably
Endurance.
Brief description of the drawings
Fig. 1 is the structured flowchart of the present invention；
Fig. 2 is the control method flow chart of the present invention.
Embodiment
The invention will be further described with reference to embodiments.
Agriculture Internet of Things solar energy radio cam device, as shown in figure 1, including data acquisition unit, cradle head control list
Member, video and NE and PMU.Between the agriculture Internet of Things solar energy radio cam device modules
Annexation be：In a kind of agriculture Internet of Things solar energy radio cam device cradle head control module, power management module,
Data acquisition module is connected with video and mixed-media network modules mixed-media.
Data acquisition unit is connected with video and NE, and NE is transmitted to for gathering environmental data.Data are adopted
Collection unit includes GPS module, Temperature Humidity Sensor, optical sensor and multi-parameter fusion MIMO filtering algorithm main control modules.Institute
The output end for stating GPS module is connected with multi-parameter fusion MIMO filtering algorithm main control modules, for gathering the specific position of the device
Put and be transmitted to multi-parameter fusion MIMO filtering algorithm main control modules.The output end of the Temperature Humidity Sensor and multi-parameter fusion MIMO
Filtering algorithm main control module connects, and the temperature and humidity for gathering environment is transmitted to multi-parameter fusion MIMO filtering algorithm master control moulds
Block.The output end of the optical sensor is connected with multi-parameter fusion MIMO filtering algorithm main control modules, strong for gathering illumination
Degree is transmitted to multi-parameter fusion MIMO filtering algorithm main control modules.The multi-parameter fusion MIMO filtering algorithm main control modules pass through
485 buses are connected with video and NE, and the particular location of reception, temperature, humidity and intensity of illumination are transmitted to video and net
Network unit.In data acquisition unit, Temperature Humidity Sensor is connected with multi-parameter fusion MIMO filtering algorithm main control modules,
GPS module is connected with multi-parameter fusion MIMO filtering algorithm main control modules, and optical sensor filters with multi-parameter fusion MIMO
Algorithm main control module is connected.
Cradle head control unit is connected with video and NE, for controlling outside camera and outside camera being shot
Video data be transmitted to video and NE.Cradle head control unit includes head main control module, motor drive module and motor.
The output end of the head main control module drives through motor drive module and motor connection for output control signal controlled motor
Module drive motor, which rotates, drives external camera to rotate.The head main control module receives the incoming video counts of external camera
According to, and video data is transmitted to video and NE.Head main control module has controlled effect, can also carry out reception and regard
Frequency signal is simultaneously transmitted to video and NE.
Video and NE are used to receiving the incoming environmental data of data acquisition unit and cradle head control unit is incoming
Video data, by being wirelessly or non-wirelessly transmitted to external server or user terminal.Video and NE include WiFi module, networking
Interface module, DSP Processor and optical sensor.The output end of the optical sensor is connected with DSP Processor, for sensing
Ambient brightness is transmitted to DSP Processor, and DSP Processor controls whether external camera shoots and whether reception according to brightness case
Data by being wirelessly or non-wirelessly transmitted to external server or user terminal.The WiFi module is connected with DSP Processor, for handle
The data for needing to transmit in DSP Processor are by being wirelessly transmitted to external server or user terminal.The network interface module and DSP
Processor connects, for the data for needing to transmit in DSP Processor to be transmitted to external server or user terminal by wired.User
End can be the mobile phone or tablet personal computer of user.
PMU is connected power supply with data acquisition unit, cradle head control unit and video and NE respectively.
PMU includes solar cell, BUCK reduction voltage circuits, lithium battery, electric power management circuit and electric energy management master control electricity
Road；The solar cell is connected through BUCK reduction voltage circuits with lithium battery, and electricity is depressured through BUCK for solar energy to be switched to electric energy
Road carries out decompression and is transmitted to lithium battery storage；The lithium battery output end through electric power management circuit respectively with data acquisition unit, cloud
Platform control unit connects power supply with video and NE, and electric power management circuit boosts the constant voltage of lithium battery or dropped
Pressure supply data acquisition unit, cradle head control unit and video and NE；The electric energy management governor circuit respectively with
BUCK reduction voltage circuits connect with electric power management circuit, are controlled for the lifting to voltage.In PMU, the sun
Energy battery and electric energy management master control are connected with BUCK reduction voltage circuits, lithium battery and BUCK reduction voltage circuits and electric power management circuit phase
Connection, electric power management circuit also with the multi-parameter fusion MIMO filtering algorithm master controls in electric energy management master control, data acquisition module
Head main control module, motor driving, electricity in module, optical sensor, GPS module, Temperature Humidity Sensor, cradle head control module
Cable network, optical sensor, wifi module, DSP Processor in machine, video and mixed-media network modules mixed-media are connected.
A kind of control method of agriculture Internet of Things solar energy radio cam device, can realize it is high-precision, there are more ginsengs
The function of number data message fusion, it is characterized in that comprising the following steps：
Step 1：Use GPS module, Temperature Humidity Sensor and the optical sensor point installed inside online cam device
Not Cai Ji multi-parameter characteristic parameter include position parameter URFGPS, humiture parameter UPWtmpWith illumination parameter UPRTopt.GPS module is adopted
Collection is position parameter URFGPS, Temperature Humidity Sensor collection is humiture parameter UPWtmp, optical sensor collection is illumination
Parameter UPRTopt, and it is to be acquired data, sampling sequence number K according to the collection period of design to gather basis.
Step 2：Calculate comprehensive parameters observation information Zj(K), calculating process is as follows：Zj(K)=func [Zj(K-1),
URFGPS,j(K-1), UPWtmp,j(K+1),UPRTopt,j(K+1)T] wherein K is sampling sequence number, j is the sequence number of Parallel Sequence, and func is
Calculate the algorithm of comprehensive parameters observation information, URFGPS,jIt is expressed as j-th of position parameter URFGPS, UPWtmp,jIt is expressed as j-th of temperature
Humidity parameter UPWtmp, UPRTopt,jIt is expressed as j-th of illumination parameter UPRTopt；URFGPS,j(K-1) it is the jth of the K-1 sampling sequence number
Individual position parameter URFGPS, UPWtmp,j(K+1) it is j-th of humiture parameter U of the K+1 sampling sequence numberPWtmp, UPRTopt,j(K+1)
For j-th of illumination parameter U of the K+1 sampling sequence numberPRTopt。
The detailed process of func algorithms is：
Step 2.1：Calculation position component parametersSpecially
Step 2.2：Calculate humiture component parametersSpecially
Step 2.3：Calculate illumination component parameterSpecially
Step 2.4：Calculate comprehensive parameters observation information Zj(K), it is specially
Step 3：The information fusion of system, specific steps are carried out using comprehensive parameters observation information and multi-parameter characteristic parameter
It is as follows：
Each multi-parameter characteristic parameter of system acquisition is built into N bar flight paths, and gathered data is synchronous, spatially
The same coordinate system is converted to, calculates the average of comprehensive parameters observation informationWherein K is sampling sequence
Number, j is the sequence number of Parallel Sequence, and N is the sequence number of Parallel Sequence.According to the number of collection, the sum divided by number of collection, obtain
To average, it may also be said to be average value.
Step 4：Move distance calculating is carried out to the sampled point Parallel Sequence of each characteristic parameter of multi-parameter characteristic parameter,
Detailed process is to calculate the distance of sampled point K N number of Parallel Sequence, will retain apart from reckling, remaining removing.The tool of computing
Body process is as follows：
Step 4.1：Calculation position parameter URFGPSDistance be DRFGPS,j=| URFGPS,j(K) |-Z (K), take minimum rangeThen leave URFGPS,i(K) it is used as URFGPSK point sampling values virtual value, in sampled point K
Place, except the numbering i of Parallel Sequence, (corresponding data are URFGPS,i(K)), remaining data URFGPS,j(K)|j≠iIt is deleted；
Step 4.2：Calculate humiture parameter UPWtmpDistance DPWtmp,j=| UPWtmp,j(K) |-Z (K), take minimum rangeThen leave UPWtmp,i(K) it is used as UPWtmpK point sampling values virtual value, in sampled point K
Place, except the numbering i of Parallel Sequence, (corresponding data are UPWtmp,i(K)), remaining data UPWtmp,j(K)|j≠iIt is deleted；
Step 4.3：Calculate illumination parameter UPRToptDistance DPRTopt,j=| UPRTopt,j(K) |-Z (K), take minimum rangeThen leave UPRTopt,i(K) it is used as UPRToptK point sampling values virtual value, in sampled point K
Place, except the numbering i of Parallel Sequence, (corresponding data are UPRTopt,i(K)), remaining data UPRTopt,j(K)|j≠iDeleted
Remove.
Step 5：The position parameter U that will be obtained in step 4RFGPS, humiture parameter UPWtmpWith position parameter UPRToptInput
Carry out calculating output processing data into multi-parameter fusion MIMO filtering algorithms.MIMO filtering algorithms are existing calculation in the prior art
Method, but be generally not to carry out multi-parameter fusion calculating, used in this application is that multi-parameter fusion calculates, and the principle of calculating is with showing
Some MIMO filtering algorithms are identical.
Step 6：Processing data is by multi-parameter fusion MIMO filtering algorithms main control module to video by 485 bus transfers
After-treatment data are obtained after the DSP Processor processing of mixed-media network modules mixed-media, video and mixed-media network modules mixed-media, and DSP Processor is by after-treatment
The video signal of data and camera acquisition is carried out after handling in real time, and cloud is sent to by WiFi module or cable network
Server or user terminal.Wherein, the photoelectric sensor that the control of transmission has the application is controlled, and is not entered when general evening
Row transmission, is transmitted usually daytime.
The preferred embodiment to the invention is illustrated above, but the present invention is not limited to embodiment,
Those skilled in the art can also make a variety of equivalent modifications on the premise of without prejudice to the invention spirit
Or replace, these equivalent modifications or replacement are all contained in scope of the present application.
Claims (8)
1. agriculture Internet of Things solar energy radio cam device, it is characterised in that：Including data acquisition unit, cradle head control list
Member, video and NE and PMU；
The data acquisition unit is connected with video and NE, and NE is transmitted to for gathering environmental data；
The cradle head control unit is connected with video and NE, for controlling outside camera and outside camera being shot
Video data be transmitted to video and NE；
The video and NE are used to receiving the incoming environmental data of data acquisition unit and cradle head control unit is incoming
Video data, by being wirelessly or non-wirelessly transmitted to external server or user terminal；
The PMU is connected power supply with data acquisition unit, cradle head control unit and video and NE respectively.
2. agriculture Internet of Things solar energy radio cam device according to claim 1, it is characterised in that：The data are adopted
Collection unit includes GPS module, Temperature Humidity Sensor, optical sensor and multi-parameter fusion MIMO filtering algorithm main control modules；Institute
The output end for stating GPS module is connected with multi-parameter fusion MIMO filtering algorithm main control modules, for gathering the specific position of the device
Put and be transmitted to multi-parameter fusion MIMO filtering algorithm main control modules；The output end of the Temperature Humidity Sensor and multi-parameter fusion MIMO
Filtering algorithm main control module connects, and the temperature and humidity for gathering environment is transmitted to multi-parameter fusion MIMO filtering algorithm master control moulds
Block；The output end of the optical sensor is connected with multi-parameter fusion MIMO filtering algorithm main control modules, strong for gathering illumination
Degree is transmitted to multi-parameter fusion MIMO filtering algorithm main control modules；The multi-parameter fusion MIMO filtering algorithm main control modules pass through
485 buses are connected with video and NE, and the particular location of reception, temperature, humidity and intensity of illumination are transmitted to video and net
Network unit.
3. agriculture Internet of Things solar energy radio cam device according to claim 1, it is characterised in that：The head control
Unit processed includes head main control module, motor drive module and motor；The output end of the head main control module drives through motor
Module and motor connection, rotated for output control signal controlled motor drive module motor and drive external camera to turn
It is dynamic；The head main control module receives the incoming video data of external camera, and video data is transmitted to video and network list
Member.
4. agriculture Internet of Things solar energy radio cam device according to claim 1, it is characterised in that：The video and
NE includes WiFi module, network interface module, DSP Processor and optical sensor；The output of the optical sensor
End is connected with DSP Processor, is transmitted to DSP Processor for induced environment brightness, DSP Processor controls outside according to brightness case
Video camera whether shoot and whether the data of reception by being wirelessly or non-wirelessly transmitted to external server or user terminal；The WiFi
Module is connected with DSP Processor, and wirelessly external server or use are transmitted to for the data for needing to transmit in DSP Processor to be passed through
Family end；The network interface module is connected with DSP Processor, wired for the data for needing to transmit in DSP Processor to be passed through
It is transmitted to external server or user terminal.
5. agriculture Internet of Things solar energy radio cam device according to claim 1, it is characterised in that：The power supply pipe
Reason unit includes solar cell, BUCK reduction voltage circuits, lithium battery, electric power management circuit and electric energy management governor circuit；It is described
Solar cell is connected through BUCK reduction voltage circuits with lithium battery, is dropped for solar energy to be switched to electric energy through BUCK reduction voltage circuits
Pressure is transmitted to lithium battery storage；The lithium battery output end through electric power management circuit respectively with data acquisition unit, cradle head control list
Member connects power supply with video and NE, and electric power management circuit is boosted or be depressured supply number the constant voltage of lithium battery
According to collecting unit, cradle head control unit and video and NE；The electric energy management governor circuit is depressured electricity with BUCK respectively
Road connects with electric power management circuit, is controlled for the lifting to voltage.
6. the control method of agriculture Internet of Things solar energy radio cam device, it is characterised in that：Comprise the following steps,
Step 1：Adopted respectively using GPS module, Temperature Humidity Sensor and the optical sensor installed inside online cam device
Collection multi-parameter characteristic parameter includes position parameter URFGPS, humiture parameter UPWtmpWith illumination parameter UPRTopt；
Step 2：Calculate comprehensive parameters observation information Zj(K), calculating process is as follows：
Zj(K)=func [Zj(K-1), URFGPS,j(K-1), UPWtmp,j(K+1),UPRTopt,j(K+1)T]
Wherein K is sampling sequence number, and j is the sequence number of Parallel Sequence, and func is the algorithm for calculating comprehensive parameters observation information, URFGPS,j
It is expressed as j-th of position parameter URFGPS, UPWtmp,jIt is expressed as j-th of humiture parameter UPWtmp, UPRTopt,jIt is expressed as j-th of light
According to parameter UPRTopt；URFGPS,j(K-1) it is j-th of position parameter U of the K-1 sampling sequence numberRFGPS, UPWtmp,j(K+1) it is K+
J-th of humiture parameter U of 1 sampling sequence numberPWtmp, UPRTopt,j(K+1) it is j-th of illumination parameter of the K+1 sampling sequence number
UPRTopt；
Step 3：The information fusion of system is carried out using comprehensive parameters observation information and multi-parameter characteristic parameter, specific steps are such as
Under：
Each multi-parameter characteristic parameter of system acquisition is built into N bar flight paths, and gathered data is synchronous, has spatially changed
For the same coordinate system, the average of calculating comprehensive parameters observation informationWherein K is sampling sequence number, j
It is the sequence number of Parallel Sequence, N is the sequence number of Parallel Sequence；
Step 4：Move distance calculating is carried out to the sampled point Parallel Sequence of each characteristic parameter of multi-parameter characteristic parameter, specifically
Process is to calculate the distance of sampled point K N number of Parallel Sequence, will retain apart from reckling, remaining removing；
Step 5：The position parameter U that will be obtained in step 4RFGPS, humiture parameter UPWtmpWith position parameter UPRToptIt is input to more ginsengs
Carry out calculating output processing data in number fusion MIMO filtering algorithms；
Step 6：Processing data is network by 485 bus transfers to video by multi-parameter fusion MIMO filtering algorithms main control module
After-treatment data are obtained after the DSP Processor processing of module, video and mixed-media network modules mixed-media, and DSP Processor is by after-treatment data
Carried out with the video signal of camera acquisition after handling in real time, cloud service is sent to by WiFi module or cable network
Device or user terminal.
7. the control method of agriculture Internet of Things solar energy radio cam device according to claim 6, it is characterised in that：
The detailed process of func algorithms is in the step 2：
Step 2.1：Calculation position component parametersSpecially
Step 2.2：Calculate humiture component parametersSpecially
Step 2.3：Calculate illumination component parameterSpecially
Step 2.4：Calculate comprehensive parameters observation information Zj(K), it is specially
8. the control method of agriculture Internet of Things solar energy radio cam device according to claim 6, it is characterised in that：
Specific algorithm in the step 4 is：
Step 4.1：Calculation position parameter URFGPSDistance be DRFGPS,j=| URFGPS,j(K) |-Z (K), take minimum rangeThen leave URFGPS,i(K) it is used as URFGPSK point sampling values virtual value, in sampled point K
Place, except the numbering i of Parallel Sequence, (corresponding data are URFGPS,i(K)), remaining data URFGPS,j(K)|j≠iIt is deleted；
Step 4.2：Calculate humiture parameter UPWtmpDistance DPWtmp,j=| UPWtmp,j(K) |-Z (K), take minimum rangeThen leave UPWtmp,i(K) it is used as UPWtmpK point sampling values virtual value, in sampled point K
Place, except the numbering i of Parallel Sequence, (corresponding data are UPWtmp,i(K)), remaining data UPWtmp,j(K)|j≠iIt is deleted；
Step 4.3：Calculate illumination parameter UPRToptDistance DPRTopt,j=| UPRTopt,j(K) |-Z (K), take minimum rangeThen leave UPRTopt,i(K) it is used as UPRToptK point sampling values virtual value, in sampled point K
Place, except the numbering i of Parallel Sequence, (corresponding data are UPRTopt,i(K)), remaining data UPRTopt,j(K)|j≠iDeleted
Remove.
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| CN111565280A (en) | 2020-08-21 |
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