CN105208249A - Multi-spectral image wireless sensor node and control method thereof - Google Patents
Multi-spectral image wireless sensor node and control method thereof Download PDFInfo
- Publication number
- CN105208249A CN105208249A CN201510546444.XA CN201510546444A CN105208249A CN 105208249 A CN105208249 A CN 105208249A CN 201510546444 A CN201510546444 A CN 201510546444A CN 105208249 A CN105208249 A CN 105208249A
- Authority
- CN
- China
- Prior art keywords
- module
- spectrum picture
- system control
- control module
- sensor node
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Landscapes
- Image Processing (AREA)
Abstract
The invention discloses a multi-spectral image wireless sensor node. The multi-spectral image wireless sensor node includes a spectral image sensing module, a system control module, a wireless communication module and a power supply module; the spectral image sensing module comprises a light filter; the wireless communication module transmits commands of a remote server end to the system control module; the system control module controls the spectral image sensing module and makes the same to select the light filter and acquire spectral images; the spectral images are stored in an internal storage of the system control module, and are pre-processed; the pre-processed spectral images are stored in an SD card or a local Flash; compressed images are subjected to packet processing according to an RTP protocol; the images are transmitted to the remote server end through the wireless communication module; and the power supply module is connected with the spectral image sensing module, the system control module and the wireless communication module respectively. With the sensor node of the invention adopted, the multi-spectral image node can acquire and transmit images under remote control, and an ad hoc network can be formed, and therefore large-range monitoring coverage for crops can be realized.
Description
Technical field
The present invention relates to wireless senser field, particularly a kind of multispectral image wireless sensor node and control method thereof.
Background technology
IMAQ and spectral technique organically combine by multispectral camera, are applicable to the corps nutrient monitoring based on spectral analysis technique and image processing techniques.Along with the fast development of spectral technique, people start to utilize spectrum camera to gather the spectrum picture of crops, then obtain the state information of crops by analyzing spectrum picture.
At present, multispectral camera mainly through manual operation photographic images, or is taken by long-range software design patterns fixed point.When gathering the upgrowth situation of crops under field condition, there are the following problems: for large-area crop condition monitoring, and crops planting area is wide, monitoring time is long, sampled point is many, adopt fixed point or single-point shooting efficiency lower, application needs cannot be met; On field, existing spectrum camera is generally made up of CCD camera and multiple filter, is merely able to the spectrum picture gathering specific band.The information transmission of multispectral camera shooting is not smooth, makes photographic images waste time and energy like this, is unsuitable for the effective acquisition of land for growing field crops crops monitoring information.
Summary of the invention
The object of the invention is to overcome the shortcoming of prior art and deficiency, a kind of multispectral image wireless sensor node (MSSN, MultiSpectrumSensorNode) is provided.
Another object of the present invention is to the control method that a kind of multispectral image wireless sensor node is provided.
Object of the present invention is achieved through the following technical solutions: a kind of multispectral image wireless sensor node, comprise spectrum picture sensing module, system control module, wireless communication module and supply module, described spectrum picture sensing module comprises filter, the command of remote server is given described system control module by described wireless communication module, described system control module controls described spectrum picture sensing module and selects filter and gather spectrum picture, after described spectrum picture is stored in and carries out preliminary treatment in the internal memory of described system control module, compression is kept in SD card or in local Flash, according to Real-time Transport Protocol, the image after compression is carried out subpackage process, wireless communication module is finally transferred to be sent to remote server, described supply module respectively with spectrum picture sensing module, system control module, wireless communication module is connected.
Described spectrum picture sensing module also comprises cmos image sensor, single-chip microcomputer, stepping motor, the rotation of described Single-chip Controlling stepping motor, the advance and retreat of driving stepper motor filter, to select different filters, and then are gathered the image of different-waveband by cmos image sensor.
Described system control module also comprises: core processor, for the control of system and the process of core missions; Jtag interface, for debugging; Serial ports URAT, communicates for being connected with the single-chip microcomputer of described spectrum picture sensing module; CamIF interface, communicates for being connected with the cmos image sensor of described spectrum picture sensing module; USB interface, communicates for being connected with described wireless communication module; Described Jtag interface, serial ports URAT, CamIF interface, USB interface are all connected with described core processor.
Described wireless communication module carries out Signal transmissions by the one in GPRS, CDMA, WIFI, 3G, 4G network.
Described supply module comprises solar panels and storage battery, and when having a sunlight, solar panels absorb solar energy and are converted into electrical power storage in storage battery, without solar time dependence storage battery power supply.
Another object of the present invention is realized by following technical scheme:
A control method for multispectral image wireless sensor node, comprises the following steps:
S1, wireless communication module receive remote server instruction and command information are sent to system control module;
S2, described system control module are resolved described instruction and obtain relevant parameter, and judging whether needs to gather spectrum picture, if then send instruction to perform step S3, if not then perform relevant parameter configuration;
S3, spectrum picture sensing module select filter according to described instruction;
S4, utilize described spectrum picture sensing module cmos image sensor gather spectrum picture, send the spectrum picture of collection to described system control module and process;
S5, by process after spectrum picture be transferred to described remote server by described wireless communication module;
S6, complete transmission task after, multispectral image wireless sensor node enters resting state.
Described step S3 specifically comprises step by step following:
The single-chip microcomputer of S31, spectrum picture sensing module receives the instruction of filter from serial ports and obtains relevant parameter;
Start stepping motor after S32, the number of turns of rotating according to setting parameter stepping motor, drive filter to advance, count to until turning collar and reach stop motion after set point, filter arrives cmos image sensor front;
S33, filter is arrived assigned address information feed back give described system control module.
Described step S4 specifically comprises step by step following:
S41, open cmos image sensor, fill global variable with order parameter, initialization cmos image sensor, start display video or image;
S42, from cmos image sensor, read frame data put into buffering area, noise suppression preprocessing is carried out to the view data in buffering area, then carries out JPEG compression, finally preserve the spectrum picture of jpeg format;
S43, judge whether current acquisition tasks completes, if complete, terminate video or image display, close cmos image sensor, if do not complete, repeat step S42.
Described step S5 specifically comprises step by step following:
S51, to remote server send connection request, read spectrum picture after successful connection to internal memory;
S52, by spectrum picture burst, then send fragment data to remote server, until sends disconnection and the connection of server successfully.
Compared with prior art, tool has the following advantages and beneficial effect in the present invention:
1, the present invention adopts wireless working method, can gather image, transmitting image by remote control multispectral image node, avoid artificial hand holding equipment to farm work, time saving and energy saving.
2, the present invention is wireless sensor node, can form self-organizing network, thus forms the monitoring covering wider to crops.
3, structure of the present invention is simple, cheap, is adapted at agriculturally large scale deployment application.
4, the present invention extends the life-span of spectrum picture acquisition node, thus can monitor the whole growth cycle of crops, be conducive to the analysis and decision in later stage.
Accompanying drawing explanation
Fig. 1 is the structural representation of multispectral image wireless sensor node (MSSN, MultiSpectrumSensorNode) of the present invention.
Fig. 2 is the control method flow chart of multispectral image wireless sensor node of the present invention.
Fig. 3 is the filter selection flow chart in method described in Fig. 2.
Fig. 4 is the flow chart of the collection image in method described in Fig. 2.
Fig. 5 is the flow chart of the automatic transmission image in method described in Fig. 2.
Embodiment
Below in conjunction with embodiment and accompanying drawing, the present invention is described in further detail, but embodiments of the present invention are not limited thereto.
A kind of multispectral image wireless sensor node (MSSN of cost, MultiSpectrumSensorNode), as shown in Figure 1, it is characterized in that comprising spectrum picture sensing module, system control module, wireless communication module and supply module, the command of remote server is given described system control module by described wireless communication module, described system control module controls described spectrum picture sensing module and selects filter and gather spectrum picture, after described spectrum picture is stored in and carries out preliminary treatment in the internal memory of described system control module, compression is kept in SD card or in local Flash, according to Real-time Transport Protocol, the image after compression is carried out subpackage process, wireless communication module is finally transferred to be sent to remote server.
Described spectrum picture sensing module comprises:
Cmos image sensor, for gathering spectrum picture;
Single-chip microcomputer, for receiving system control module information and the rotation of control step motor; Also for feeding back filter message chosen successfully to system control module;
Stepping motor, for driving the advance and retreat of filter, to select suitable filter;
Filter, is provided with 3 kinds of filters, can changes filter easily as required.
Cmos image sensor adopts OV360, adopts 20 pin I/O pins to be connected with system control module; Single-chip microcomputer is communicated by serial ports RS-232C with system control module, single-chip microcomputer receives filter adjustment instruction from serial ports, and therefrom resolve filter adjustment positional information, then the calculated step electric machine rotation number of turns, then send pulse information and draw high motor pin voltage, when motor reaches the low motor pin voltage of pre-fixing turn post-tensioning, complete filter conversion; Last single-chip microcomputer feeds back filter transitional information by serial ports to system control module.
Described system control module is the center module of whole system, for resolving wireless signal, and convert fill order to, to control filter selection, IMAQ and execution parameter configuration, also be sent to wireless communication module carry out remote transmission for the treatment of image, it also comprises:
Core processor, for the control of system and the process of core missions; Core processor has ARM11 kernel, comprises internal memory SDRAM and external memory NandFlash; Core processor and each module, Interface integration, on one piece of base plate, form the system control module of sensor node, and core processor adopts S3C6410.
Jtag interface, for debugging;
Serial ports URAT, communicates for being connected with the single-chip microcomputer of described spectrum picture sensing module;
CamIF interface, communicates for being connected with the cmos image sensor of described spectrum picture sensing module;
USB interface, communicates for being connected with described wireless communication module;
SD card, for preserving image.
Described wireless communication module can carry out Signal transmissions by GPRS, CDMA, WIFI, 3G, 4G network.
After wireless communication module receives remote control signal, resolved by system control module, if common configuration information, then complete in this locality immediately; If acquisition tasks order, then obtain filter further and select information, imageing sensor parameter information etc.After obtaining filter selection information, convert corresponding control command to, be sent to single-chip microcomputer by serial ports, then as mentioned above, by Single-chip Controlling selection of Motor filter.After obtaining imageing sensor parameter information, call respective drive function and cmos image sensor is configured, comprise resolution, saturation, contrast, brightness, white balance, time for exposure etc.System control module, receiving after filter adjusts ready feedback information, starts to start cmos image sensor and gathers image.
Described supply module is powered to node in the mode of " solar energy+storage battery ".When having sunlight, solar panels absorb solar energy, and change into electric energy and charge a battery; Without the solar time, storage battery is powered to node.The life-span of spectrum picture acquisition node can be extended like this, thus can monitor the whole growth cycle of crops, be conducive to the analysis and decision in later stage.
Multi-optical spectrum image sensor node (the MSSN that the embodiment of the present invention is mentioned, MultiSpectrumSensorNode), can and wireless router between form the wireless image sensor network of self-organizing, communicated with server end by wireless network protocol.Crops spectrum picture can be gathered on a large scale like this, be conducive to carrying out large scale deployment application in farmland.
A control method for the multispectral image wireless sensor node of low cost, as shown in Figure 2, comprises the following steps:
S1, wireless communication module receive remote server instruction and command information are sent to system control module;
S2, described system control module are resolved described instruction and obtain relevant parameter, and judging whether needs to gather spectrum picture, if then send instruction to perform step S3, if not then perform relevant parameter configuration;
S3, spectrum picture sensing module select filter according to described instruction;
S4, utilize described spectrum picture sensing module cmos image sensor gather spectrum picture, send the spectrum picture of collection to described system control module and process;
S5, by process after spectrum picture be transferred to described remote server by described wireless communication module;
S6, complete transmission task after, multispectral image wireless sensor node enters resting state.
The present embodiment is by the instruction of wireless communication module reception server end, instruction contains three kinds of information: drainage pattern is arranged (comprise automatic collection/manually collection, acquisition interval time, gather the information such as amount of images), filter is selected to arrange and (is selected the one in three kinds of filters, or circulation selects institute to want filter), image effect arranges (image resolution ratio, saturation, contrast, brightness, white balance, time for exposure etc.).After node receives instruction, system control module is resolved it, and completes and arrange work and IMAQ task accordingly, and by image transmitting to server end, thus achieve node remote control, automatically to gather and remote transmission.
As shown in Figure 3, described step S3 specifically comprises step by step following:
The single-chip microcomputer of S31, spectrum picture sensing module receives the instruction of filter from serial ports and obtains relevant parameter;
Start stepping motor after S32, the number of turns of rotating according to setting parameter stepping motor, drive filter to advance, count to until turning collar and reach stop motion after set point, filter arrives cmos image sensor (cam lens) front;
S33, filter is arrived assigned address information feed back give described system control module.
Single-chip microcomputer receives from after the filter selection instruction of system control module from serial ports, resolve instruction, and obtain filter information, the rotation number of turns (position and the electric machine rotation number of turns of filter have designed in advance) of motor can be determined with that, then single-chip microcomputer sends pulse signal and draws high motor pin voltage, starter motor, and calculate the electric machine rotation number of turns, electric machine rotation rear haulage filter is advanced, after the electric machine rotation number of turns reaches predetermined value, drag down motor pin voltage, complete filter and select.Single-chip microcomputer sends with the Frame of current filter position to system control module, and after system control module receives feedback information, startup cmos image sensor starts to gather image.
As shown in Figure 4, described step S4 specifically comprises step by step following:
S41, open cmos image sensor (camera device), fill global variable with order parameter, initialization cmos image sensor (camera), start display video or image;
S42, from cmos image sensor, read frame data put into buffering area, noise suppression preprocessing is carried out to the view data in buffering area, then carries out JPEG compression, finally preserve the spectrum picture of jpeg format;
S43, judge whether current acquisition tasks completes, if complete, terminate video or image display, close cmos image sensor (can be camera), if do not complete, repetition step S42.
Acquisition tasks both can be set as that automated periodic gathered spectrum picture, also can according to server side instructions active acquisition spectrum picture.Before collection image, need to carry out image effect setting, and call respective drive program and complete.If automatically gather, then arrange by default value; If server end active acquisition, then arrange by the parameter that server instruction is specified.The effect of image arranges and comprises resolution, saturation, contrast, brightness, white balance, time for exposure etc.The image collected first will carry out the preliminary treatment of the necessity such as denoising, then carries out JPEG compression, is kept in the SD card of node or in NandFlash after compression.After acquisition tasks completes, start transmitting image.
As shown in Figure 5, described step S5 specifically comprises step by step following:
S51, to remote server send connection request, read spectrum picture after successful connection to internal memory;
S52, by spectrum picture burst, then send fragment data to remote server, until sends disconnection and the connection of server successfully.
System control module sends socket connection request by wireless communication module to server, and after both sides connect, system control module by spectrum picture burst, and adopts efficient Real-time Transport Protocol, is sent to server end by wireless communication module.
Above-described embodiment is the present invention's preferably execution mode; but embodiments of the present invention are not restricted to the described embodiments; change, the modification done under other any does not deviate from Spirit Essence of the present invention and principle, substitute, combine, simplify; all should be the substitute mode of equivalence, be included within protection scope of the present invention.
Claims (9)
1. a multispectral image wireless sensor node, it is characterized in that comprising spectrum picture sensing module, system control module, wireless communication module and supply module, described spectrum picture sensing module comprises filter, the command of remote server is given described system control module by described wireless communication module, described system control module controls described spectrum picture sensing module and selects filter and gather spectrum picture, after described spectrum picture is stored in and carries out preliminary treatment in the internal memory of described system control module, compression is kept in SD card or in local Flash, according to Real-time Transport Protocol, the image after compression is carried out subpackage process, wireless communication module is finally transferred to be sent to remote server, described supply module respectively with spectrum picture sensing module, system control module, wireless communication module is connected.
2. multispectral image wireless sensor node according to claim 1, it is characterized in that: described spectrum picture sensing module also comprises cmos image sensor, single-chip microcomputer, stepping motor, the rotation of described Single-chip Controlling stepping motor, the advance and retreat of driving stepper motor filter, to select different filters, and then gathered the image of different-waveband by cmos image sensor.
3. multispectral image wireless sensor node according to claim 1, is characterized in that: described system control module also comprises: core processor, for the control of system and the process of core missions; Jtag interface, for debugging; Serial ports URAT, communicates for being connected with the single-chip microcomputer of described spectrum picture sensing module; CamIF interface, communicates for being connected with the cmos image sensor of described spectrum picture sensing module; USB interface, communicates for being connected with described wireless communication module; Described Jtag interface, serial ports URAT, CamIF interface, USB interface are all connected with described core processor.
4. multispectral image wireless sensor node according to claim 1, is characterized in that: described wireless communication module carries out Signal transmissions by the one in GPRS, CDMA, WIFI, 3G, 4G network.
5. multispectral image wireless sensor node according to claim 1, it is characterized in that: described supply module comprises solar panels and storage battery, when having a sunlight, solar panels absorb solar energy and are converted into electrical power storage in storage battery, without solar time dependence storage battery power supply.
6. a control method for multispectral image wireless sensor node, is characterized in that comprising the following steps:
S1, wireless communication module receive remote server instruction and command information are sent to system control module;
S2, described system control module are resolved described instruction and obtain relevant parameter, and judging whether needs to gather spectrum picture, if then send instruction to perform step S3, if not then perform relevant parameter configuration;
S3, spectrum picture sensing module select filter according to described instruction;
S4, utilize described spectrum picture sensing module cmos image sensor gather spectrum picture, send the spectrum picture of collection to described system control module and process;
S5, by process after spectrum picture be transferred to described remote server by described wireless communication module;
S6, complete transmission task after, multispectral image wireless sensor node enters resting state.
7. the control method of multispectral image wireless sensor node according to claim 6, is characterized in that: described step S3 specifically comprises step by step following:
The single-chip microcomputer of S31, spectrum picture sensing module receives the instruction of filter from serial ports and obtains relevant parameter;
Start stepping motor after S32, the number of turns of rotating according to setting parameter stepping motor, drive filter to advance, count to until turning collar and reach stop motion after set point, filter arrives cmos image sensor front;
S33, filter is arrived assigned address information feed back give described system control module.
8. the control method of multispectral image wireless sensor node according to claim 6, is characterized in that: described step S4 specifically comprises step by step following:
S41, open cmos image sensor, fill global variable with order parameter, initialization cmos image sensor, start display video or image;
S42, from cmos image sensor, read frame data put into buffering area, noise suppression preprocessing is carried out to the view data in buffering area, then carries out JPEG compression, finally preserve the spectrum picture of jpeg format;
S43, judge whether current acquisition tasks completes, if complete, terminate video or image display, close cmos image sensor, if do not complete, repeat step S42.
9. the control method of multispectral image wireless sensor node according to claim 6, is characterized in that: described step S5 specifically comprises step by step following:
S51, to remote server send connection request, read spectrum picture after successful connection to internal memory;
S52, by spectrum picture burst, then send fragment data to remote server, until sends disconnection and the connection of server successfully.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201510546444.XA CN105208249A (en) | 2015-08-28 | 2015-08-28 | Multi-spectral image wireless sensor node and control method thereof |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201510546444.XA CN105208249A (en) | 2015-08-28 | 2015-08-28 | Multi-spectral image wireless sensor node and control method thereof |
Publications (1)
Publication Number | Publication Date |
---|---|
CN105208249A true CN105208249A (en) | 2015-12-30 |
Family
ID=54955659
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201510546444.XA Pending CN105208249A (en) | 2015-08-28 | 2015-08-28 | Multi-spectral image wireless sensor node and control method thereof |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN105208249A (en) |
Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106023564A (en) * | 2016-07-22 | 2016-10-12 | 华南农业大学 | Multi-service agricultural condition wireless acquisition node system and control method thereof |
CN107316068A (en) * | 2017-05-05 | 2017-11-03 | 宁波城市职业技术学院 | A kind of wisdom mountain-climbing pavement management system and its control method |
CN107621310A (en) * | 2017-09-18 | 2018-01-23 | 深圳大学 | A kind of micro spectrometer transmission adaptor and spectral detection system and method |
CN109451197A (en) * | 2018-09-30 | 2019-03-08 | 广东工业大学 | It is a kind of it is long-range it is stable send picture to server method |
CN110114645A (en) * | 2016-12-27 | 2019-08-09 | 优鲁格斯股份有限公司 | Hyper spectral Imaging when observed object is static |
Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101349591A (en) * | 2008-08-29 | 2009-01-21 | 北京理工大学 | Reconfigurable distributed multi-optical spectrum imaging system |
CN102213616A (en) * | 2011-04-08 | 2011-10-12 | 中国农业大学 | Space multi-spectral information acquiring device |
CN202676588U (en) * | 2012-03-12 | 2013-01-16 | 曹宏鑫 | Airborne micro spectral terminal device applied to disease and pest identification |
CN102997996A (en) * | 2012-11-30 | 2013-03-27 | 中国科学院上海技术物理研究所 | Shortwave infrared day and night remote multispectral imager and imaging method |
US20130153673A1 (en) * | 2011-12-19 | 2013-06-20 | Saed G. Younis | Remotely sensing and adapting irrigation system |
CN103674248A (en) * | 2013-11-22 | 2014-03-26 | 深圳先进技术研究院 | Spectral data acquisition and transmission system and operating and application methods thereof |
US20140170678A1 (en) * | 2012-12-17 | 2014-06-19 | Leukodx Ltd. | Kits, compositions and methods for detecting a biological condition |
-
2015
- 2015-08-28 CN CN201510546444.XA patent/CN105208249A/en active Pending
Patent Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101349591A (en) * | 2008-08-29 | 2009-01-21 | 北京理工大学 | Reconfigurable distributed multi-optical spectrum imaging system |
CN102213616A (en) * | 2011-04-08 | 2011-10-12 | 中国农业大学 | Space multi-spectral information acquiring device |
US20130153673A1 (en) * | 2011-12-19 | 2013-06-20 | Saed G. Younis | Remotely sensing and adapting irrigation system |
CN202676588U (en) * | 2012-03-12 | 2013-01-16 | 曹宏鑫 | Airborne micro spectral terminal device applied to disease and pest identification |
CN102997996A (en) * | 2012-11-30 | 2013-03-27 | 中国科学院上海技术物理研究所 | Shortwave infrared day and night remote multispectral imager and imaging method |
US20140170678A1 (en) * | 2012-12-17 | 2014-06-19 | Leukodx Ltd. | Kits, compositions and methods for detecting a biological condition |
CN103674248A (en) * | 2013-11-22 | 2014-03-26 | 深圳先进技术研究院 | Spectral data acquisition and transmission system and operating and application methods thereof |
Cited By (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106023564A (en) * | 2016-07-22 | 2016-10-12 | 华南农业大学 | Multi-service agricultural condition wireless acquisition node system and control method thereof |
CN110114645A (en) * | 2016-12-27 | 2019-08-09 | 优鲁格斯股份有限公司 | Hyper spectral Imaging when observed object is static |
CN110114645B (en) * | 2016-12-27 | 2021-11-26 | 优鲁格斯股份有限公司 | Hyperspectral imaging while the viewed object is stationary |
CN107316068A (en) * | 2017-05-05 | 2017-11-03 | 宁波城市职业技术学院 | A kind of wisdom mountain-climbing pavement management system and its control method |
CN107316068B (en) * | 2017-05-05 | 2020-06-02 | 宁波城市职业技术学院 | Intelligent mountaineering footpath management system and control method thereof |
CN107621310A (en) * | 2017-09-18 | 2018-01-23 | 深圳大学 | A kind of micro spectrometer transmission adaptor and spectral detection system and method |
CN109451197A (en) * | 2018-09-30 | 2019-03-08 | 广东工业大学 | It is a kind of it is long-range it is stable send picture to server method |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN105208249A (en) | Multi-spectral image wireless sensor node and control method thereof | |
CN208128532U (en) | A kind of multifunctional plant growth and habitat information monitoring system | |
CN103309378B (en) | A kind of multifunction wireless device of the mobile phone remote monitor in real time greenhouse-environment factor | |
Dan et al. | Intelligent agriculture greenhouse environment monitoring system based on IOT technology | |
CN201556283U (en) | Remote acquisition system structural frame for farmland on-site information | |
CN102404875B (en) | Distributed type intelligent wireless image sensor network node equipment | |
CN109510972A (en) | A kind of wild animal intelligent surveillance method based on Internet of Things | |
CN206178509U (en) | Big -arch shelter remote monitering system based on web server and zigBee | |
CN102880156A (en) | Intelligent monitoring method and system for fish tank | |
CN101877781A (en) | Farmland information real-time acquisition system, device and method based on remote monitoring | |
CN103970095A (en) | Crop monitoring system and method based on intelligent mobile phone | |
CN103076784A (en) | Greenhouse environmental monitoring system based on wireless sensor network and GPRS (general packet radio service) | |
CN103559781A (en) | Distributive real-time energy consumption monitoring and analyzing system based on camera | |
CN109510971A (en) | A kind of wild animal intelligence observation system based on Internet of Things | |
CN202331779U (en) | Collector, collection device and collection system for crop multisource record information | |
CN105137950A (en) | Greenhouse intelligent control system based on Internet of Things technology | |
CN105657261A (en) | Unmanned aerial vehicle remote sensing image collection system and method based on Android device | |
CN106625675A (en) | Embedded measurement and control system and method for guiding intelligent grasping of robot | |
CN208675258U (en) | Gateway apparatus for multi-internet integration edge calculations | |
CN105843298A (en) | Intelligent monitoring system for agricultural greenhouses | |
CN106412393A (en) | Agricultural binocular multispectral camera | |
CN113391666B (en) | Multi-parameter control system for aquaculture environment and water quality | |
CN107616079A (en) | Intelligent irrigation system design based on LoRa | |
CN112841154A (en) | Disease and pest control system based on artificial intelligence | |
CN205921694U (en) | Unmanned aerial vehicle aerial image collection system |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20151230 |
|
RJ01 | Rejection of invention patent application after publication |