CN110913359A - Multi-fusion agricultural environment online monitoring system based on LoRa technology and WiFi technology - Google Patents
Multi-fusion agricultural environment online monitoring system based on LoRa technology and WiFi technology Download PDFInfo
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- CN110913359A CN110913359A CN201911171211.0A CN201911171211A CN110913359A CN 110913359 A CN110913359 A CN 110913359A CN 201911171211 A CN201911171211 A CN 201911171211A CN 110913359 A CN110913359 A CN 110913359A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/30—Services specially adapted for particular environments, situations or purposes
- H04W4/38—Services specially adapted for particular environments, situations or purposes for collecting sensor information
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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
Abstract
A multi-fusion agricultural environment on-line monitoring system based on an LoRa technology and a WiFi technology comprises a data acquisition layer for receiving field data, a data management layer for performing data transmission and providing decision and a UI interface layer for reflecting a final result; the field environment condition parameter data is collected through the LoRa terminal nodes of the data acquisition layer, so that the manual investigation process is omitted; the data management layer transmits data acquisition layer data to the decision platform in time through LoRaWAN to perform system monitoring, management and decision making, and then reflects decision making results to the client side of the UI interface layer or the personal APP of the staff through WiFi, so that the system has the advantages of accurate monitoring, simplicity in monitoring, timely feedback and multi-terminal self-adaptive checking.
Description
Technical Field
The invention relates to an online monitoring system, in particular to a multi-fusion agricultural environment online monitoring system based on a LoRa technology and a WiFi technology.
Background
The agricultural environment monitoring is a process for monitoring and measuring some representative values of agricultural environment quality intermittently or continuously in a period of time, which is centered on pollutants in the agricultural environment and the damage of the pollutants to agricultural organisms. Representative values of the quality of agricultural environments include the concentration of pollutants, energy, the intensity of pollution and its variation and the influence on the environment.
Utilize agricultural environment monitoring management system can strengthen the processing to agricultural environmental pollution monitoring data, can be fast effectual carry out accurate monitoring to agricultural environment to make supervisory department have more comprehensive, more deep and more audio-visual assurance to the pollution source, with the improvement to the scientific and technological level of agricultural environment monitoring data analysis and management. At present, the development of agricultural environment on-line monitoring systems in China is not mature, and agricultural environment monitoring of many schools still has no advanced monitoring method.
Disclosure of Invention
In order to overcome the defects of the prior art, the invention aims to provide a multi-fusion agricultural environment online monitoring system based on the LoRa technology and the WiFi technology, which utilizes the fusion of an environment online monitoring mode and the wireless communication technology of the Internet of things, and adopts a high-sensitivity sensor to acquire equipment information in operation, including temperature, humidity, illuminance, PM2.5/10, CO2The information is identified and processed by utilizing a correlation algorithm, so that the characteristic quantity reflecting the environment state is obtained, and the historical environment data is subjected to linear analysis to obtain a linear graph reflecting the environment data; the problem of consume manpower that faces in the current environment on-line monitoring work is solved, have the advantage that monitoring is accurate, monitoring is simple, the feedback is timely and many terminals self-adaptation are looked over.
In order to achieve the purpose, the invention adopts the technical scheme that:
a multi-fusion agricultural environment on-line monitoring system based on an LoRa technology and a WiFi technology comprises two Internet of things communication modes, namely LoRa communication and WiFi communication, and also comprises a data acquisition layer for receiving field data, a data management layer for performing data transmission and providing decision and a UI interface layer for reflecting a final result; through a sensor in the LoRa terminal node, transmitting the field data to a monitoring center through a LoRa network for uniform monitoring and management; the data acquisition layer consists of each LoRa terminal node and is used for monitoring the environment in real time; the data management layer transmits data of the data acquisition layer to the decision platform in time through LoRaWAN to perform system monitoring, management and decision making, and reflects decision making results to a client or a personal APP of a worker through WiFi; the UI interface layer is mainly a data visualization display platform and consists of a client and a user APP.
The data acquisition layer for receiving the field data comprises a terminal node consisting of a sensor, a microprocessor MCU and a LoRa communication unit, and realizes real-time environment monitoring of the terminal, including temperature and humidity online monitoring, illuminance online monitoring, PM2.5/10 monitoring and CO monitoring2And (5) online monitoring.
The data management layer for data transmission comprises a LoRaWAN gateway, a cloud server, a WiFi network, a network server, a user-defined LoRaWAN technology-based application program and a software interface; the LoRaWAN gateway selects LSD4WN-2335XGW1 of the LoRaWAN system of Lierda, and can be directly deployed in an area; a single LSD4WN-2335XGW1 gateway can monitor 8 channels at most simultaneously, collect any terminal data packet conforming to LoRaWAN protocol and upload the terminal data packet to a server through WiFi; meanwhile, the system can receive and process the instruction issued by the server, and then send a data packet or execute other actions according to the requirements of the server; the decision processing of the data is mainly performed on a network server by adopting intelligent computing and pattern recognition technologies to reflect various states of the environment, and the data is transmitted to a background expert system for analysis and decision by collecting various states to provide safety evaluation and feed back the result to a client and a user APP in real time.
The UI interface layer for providing the visual decision result comprises a client and a user APP, and the display of the visual result is completed by adopting Java and Java _ FX.
The invention has the beneficial effects that: sensor collection of LoRa end nodes through data acquisition layerThe field data includes temperature, humidity, illuminance, PM2.5/10, CO2And the process of manual investigation is saved; the data management layer transmits data of the data acquisition layer to the decision platform through the LoRa transmission module and the WiFi, so that the real-time performance and the accuracy of the data can be guaranteed; the decision platform utilizes a relevant algorithm to carry out information identification and identification processing, further obtains characteristic quantities reflecting environmental conditions, carries out comprehensive diagnosis on the conditions, and feeds back results to the UI interface layer in real time.
Drawings
FIG. 1 is a block diagram of the present invention.
Fig. 2 is a specific working flow from the terminal node to the gateway according to the present invention.
Fig. 3 is a hardware structure of the LoRa terminal node in the present invention.
Fig. 4 is a specific working flow from the gateway to the server according to the present invention.
Fig. 5 is a schematic diagram of a Lora gateway selected for use in the present invention.
Detailed Description
The present invention will be described in detail below with reference to the accompanying drawings.
As shown in fig. 1, a multi-fusion agricultural environment online monitoring system based on LoRa technology and WiFi technology includes two internet of things communication modes, LoRa communication and WiFi communication, and also includes a data acquisition layer for receiving field data, a data management layer for performing data transmission and providing decision, and a UI interface layer for reflecting final results; through a sensor in the LoRa terminal node, transmitting the field data to a monitoring center through a LoRa network for uniform monitoring and management; the data acquisition layer consists of each LoRa terminal node and is used for monitoring the environment in real time; the data management layer transmits data of the data acquisition layer to the decision platform in time through LoRaWAN to perform system monitoring, management and decision making, and reflects decision making results to a client or a personal APP of a worker through WiFi; the UI interface layer is mainly a data visualization display platform and consists of a client and a user APP.
The above-mentionedThe data acquisition layer for receiving the field data comprises a terminal node consisting of a sensor, a microprocessor MCU and a LoRa communication unit, and realizes real-time monitoring of the environmental conditions of the terminal, including temperature, humidity, illuminance, PM2.5/10, CO2And the like.
The data management layer for data transmission comprises a LoRaWAN gateway, a cloud server, a WiFi network, a network server, a user-defined LoRaWAN technology-based application program and a software interface; the LoRaWAN gateway selects LSD4WN-2335XGW1 of the LoRaWAN system of Lierda, and can be directly deployed in an area; a single LSD4WN-2335XGW1 gateway can monitor 8 channels at most simultaneously, collect any terminal data packet conforming to LoRaWAN protocol and upload the terminal data packet to a server through WiFi; meanwhile, the system can receive and process the instruction issued by the server, and then send a data packet or execute other actions according to the requirements of the server; the decision processing of the data is mainly performed on a network server by adopting intelligent computing and pattern recognition technologies to reflect various states of the environment, and the data is transmitted to a background expert system for analysis and decision by collecting various states to provide safety evaluation and feed back the result to a client and a user APP in real time.
The UI interface layer for providing the visual decision result comprises a client and a user APP, and the display of the visual result is completed by adopting Java and Java _ FX.
The agricultural environment node can be deployed outdoors or in a greenhouse, and is a three-dimensional monitoring system. When the system operates, in the data acquisition layer, field data including temperature, humidity, illumination, PM2.5/10, CO are collected through a sensor of the LoRa terminal node2And the like, field data are packaged and transmitted to a decision-making platform through an LoRa transmission module and WiFi, the Lora transmission mode with strong anti-interference capability and strong penetrability is adopted, the accuracy of private data and the stable transmission of data under three-dimensional monitoring can be ensured, the data are stored in a network, the real-time data are analyzed and compared with historical data, information identification and identification processing are carried out by utilizing an SVM clustering algorithm, and then all-weather temperature and humidity, carbon dioxide and PM2.5/PM10 reflecting environmental conditions are obtainedAnd the light intensity and the historical data are linearly analyzed, the conditions of the light intensity and the historical data are comprehensively diagnosed, and finally, the results are transmitted to a UI interface layer, so that the real-time grasping of the agricultural environment conditions is completed, and early warning work can be done in advance. The data of the system supports the checking of the client and the mobile phone APP, and the multi-terminal self-adaptive checking can be realized.
As shown in fig. 2, the data acquisition layer of the present invention includes a hardware acquisition module and a gateway transmission module, wherein a hardware acquisition module end and a gateway module initialize hardware simultaneously, the hardware acquisition module end sends a network access request to the gateway module end, and after the gateway module end receives the network access request, the hardware acquisition module end transmits acquired data to the gateway; the wireless data transmission mode adopts an embedded wireless data transmission module F8L10D based on an LoRa spread spectrum technology, provides a wireless data transmission function by utilizing an LoRa network, and realizes a transparent data transmission function by adopting a high-performance industrial chip; the low power consumption design is adopted, the lowest power consumption is as small as 2 mu A, and the sleep mode and the wake mode are supported; the power supply adopts a direct current 3.3V-5V power supply, a 433MHz application-free frequency band and a frequency of 410-441 MHz, and 32 channels are provided; the receiving sensitivity is high, and the communication distance is longer; a watchdog is arranged in the system to ensure the long-time stable operation of the system; the LDO is arranged in the module, so that the module is ensured to supply power stably; multiple data are automatically transmitted in a sub-packet mode, so that the completeness of a data packet is guaranteed; high-efficiency cyclic interleaving error correction coding, maximum error correction of 64 bits, and double 256 ring FIFOs.
As shown in FIG. 3, the hardware acquisition module of the present invention comprises a power module, a sensor module, an STM32 processor module, a Lora communication module and an A/D converter; the power module is responsible for the power supply, and the sensor module gathers various data, through the AD converter, converts data into the readable data of STM32 processor module, and then STM32 treater is handled data, transmits to the gateway through Lora communication module at last.
As shown in fig. 4, the data management layer of the present invention includes a LoraWAN gateway and a server, where the gateway sends a networking request to the server through a push client, and after the server receives the networking request, the gateway transmits internal data to the server.
As shown in fig. 5, the LoraWAN gateway of the present invention includes an antenna, a housing, a MCRFM, and a PFM; the power adapter selects HX08-1202(2000), an MCRFM supporting frequency band (433MHz \475MHz \485MHz \495MHz \868MHz \915MHz), a LoRa omnidirectional antenna supporting frequency band (433MHz \480MHz \495MHz \868MHz \915MHz), a built-in 3/4G router, an LTE antenna, a GPS and a GPS omnidirectional antenna.
Claims (4)
1. A multi-fusion agricultural environment on-line monitoring system based on an LoRa technology and a WiFi technology is characterized by comprising two Internet of things communication modes, namely LoRa communication and WiFi communication, and also comprising a data acquisition layer for receiving field data, a data management layer for carrying out data transmission and decision making and a UI interface layer for reflecting a final result; through a sensor in the LoRa terminal node, transmitting the field data to a monitoring center through a LoRa network for uniform monitoring and management; the data acquisition layer consists of each LoRa terminal node and is used for monitoring the environment in real time; the data management layer transmits data of the data acquisition layer to the decision platform in time through LoRaWAN to perform system monitoring, management and decision making, and reflects decision making results to a client or a personal APP of a worker through WiFi; the UI interface layer is mainly a data visualization display platform and consists of a client and a user APP.
2. The system of claim 1, wherein the data acquisition layer for receiving field data comprises a terminal node consisting of a sensor, a microprocessor and a LoRa communication unit, and realizes real-time environment monitoring of a terminal, including temperature and humidity online monitoring, illuminance online monitoring, PM2.5/10 monitoring, and CO online monitoring2And (5) online monitoring.
3. The system for monitoring the multi-fusion agricultural environment on line based on the LoRa technology and the WiFi technology is characterized in that the data management layer for data transmission comprises a LoRaWAN gateway, a cloud server, building of the WiFi network, a network server, a user-defined LoRaWAN technology-based application program and a software interface;
the LoRaWAN gateway selects LSD4WN-2335XGW1 of the LoRaWAN system of Lierda, and can be directly deployed in an area; a single LSD4WN-2335XGW1 gateway can monitor 8 channels at most simultaneously, collect any terminal data packet conforming to LoRaWAN protocol and upload the terminal data packet to a server through WiFi; meanwhile, the system can receive and process the instruction issued by the server, and then send a data packet or execute other actions according to the requirements of the server. The decision processing of the data is mainly performed on a network server by adopting intelligent computing and pattern recognition technologies to reflect various states of the environment, and the data is transmitted to a background expert system for analysis and decision by collecting various states to provide safety evaluation and feed back the result to a client and a user APP in real time.
4. The multiple-fusion agricultural environment online monitoring system based on the LoRa technology and the WiFi technology as claimed in claim 1, wherein the UI interface layer providing the visual decision result comprises a client and a user APP, and the display of the visual result is completed by adopting Java and Java _ FX.
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| CN112311873A (en) * | 2020-10-29 | 2021-02-02 | 河南省科学院应用物理研究所有限公司 | Crop growth environment control and monitoring early warning system |
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Application publication date: 20200324 |