CN110825058A - Crop real-time monitoring system - Google Patents
Crop real-time monitoring system Download PDFInfo
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- CN110825058A CN110825058A CN201911181113.5A CN201911181113A CN110825058A CN 110825058 A CN110825058 A CN 110825058A CN 201911181113 A CN201911181113 A CN 201911181113A CN 110825058 A CN110825058 A CN 110825058A
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM]
- G05B19/41875—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM] characterised by quality surveillance of production
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- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01C—PLANTING; SOWING; FERTILISING
- A01C23/00—Distributing devices specially adapted for liquid manure or other fertilising liquid, including ammonia, e.g. transport tanks or sprinkling wagons
- A01C23/007—Metering or regulating systems
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- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01G—HORTICULTURE; CULTIVATION OF VEGETABLES, FLOWERS, RICE, FRUIT, VINES, HOPS OR SEAWEED; FORESTRY; WATERING
- A01G25/00—Watering gardens, fields, sports grounds or the like
- A01G25/16—Control of watering
- A01G25/167—Control by humidity of the soil itself or of devices simulating soil or of the atmosphere; Soil humidity sensors
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
- G05B2219/32—Operator till task planning
- G05B2219/32368—Quality control
Abstract
The invention discloses an agricultural real-time monitoring system, which comprises a data acquisition system, a data transmission system and an analysis control system, wherein the data acquisition system comprises a soil humidity sensor, a soil nutrient analyzer, a meteorological monitoring station, an insect condition analysis and forecast lamp, a fixed spore capture instrument, a seedling condition and disaster condition monitoring camera and a water and fertilizer all-in-one machine, the data transmission system is a GPRS mobile wireless network, and the analysis control system is ARM upper computer monitoring software and comprises a basic information management module, a system parameter setting module, a real-time data monitoring module, a control module, a data dynamic analysis module and an abnormity early warning module. The invention can monitor, analyze and actively deal with the agricultural system in real time, improve the working efficiency and solve the labor cost.
Description
Technical Field
The invention relates to a crop control system, in particular to a crop real-time monitoring system, and belongs to the technical field of crop production.
Background
China is a big agricultural country, agriculture is taken as a complex life system, the complex ecological system has the complexity of typical ecological field and process, the traditional agriculture of China is accelerating the transformation speed to the modern agriculture at present, the informatization is deeply integrated with the agricultural industry, the wide intellectualization is realized, and the complex ecological system is the main characteristic and the inevitable trend of the future development of the modern agriculture of China.
In recent years, with the application research of the internet of things technology in agriculture, some systems for realizing agricultural intelligent monitoring by using a wireless sensor network have appeared, but most of the monitoring systems aim at data acquisition, transmission and monitoring links and less terminal control, so that the purposes of intelligent monitoring, unmanned operation and labor saving cannot be really realized, and the development and application of the agricultural internet of things are restricted.
Disclosure of Invention
In order to overcome various defects in the prior art, the invention provides the real-time monitoring system for the agricultural articles, which can monitor, analyze and actively deal with the agricultural system in real time, improve the working efficiency and solve the labor cost.
In order to solve the problems, the invention discloses an agricultural article real-time monitoring system which comprises a data acquisition system, a data transmission system and an analysis control system, and is characterized in that the data acquisition system comprises a soil humidity sensor, a soil nutrient analyzer, a meteorological monitoring station, an insect condition analysis and forecast lamp, a fixed spore capture instrument, a seedling condition and disaster condition monitoring camera and a water and fertilizer all-in-one machine, the data transmission system is a GPRS mobile wireless network, the analysis control system is ARM upper computer monitoring software and comprises basic information management, a system parameter setting module, a real-time data monitoring module, a control module, a data dynamic analysis module and an abnormity early warning module; data acquired by each module in the data acquisition system is transmitted to the real-time data monitoring module through the data transmission system, the data dynamic analysis module is used for realizing analysis on the change trend of environmental parameters of monitoring points in a dynamic waveform mode, and a command is sent to a lower computer through the communication module; the basic information management is internally stored with field information and Internet of things equipment information and has the functions of adding, deleting and modifying the basic information; the system parameter setting module sets standard values, control parameters and serial port parameter values of crop growth environment parameters of the monitoring points, and the abnormity early warning module carries out alarm recording by judging whether the crop growth environment exceeds a set threshold value or not.
Further, the ARM upper computer monitoring software comprises a login module, an operator management module and a historical data query module, wherein the login module comprises system administrator login and operation for login; the operator management module comprises an operation user information database and is used for inquiring the registration basic information of the operator; and the historical data query module is used for querying and displaying the perception data information of the specified detection node in a specified time period.
Further, various sensor signals at the front end of the data acquisition system are processed by an MCU in the acquisition board through an algorithm to obtain actual physical values, and the specific algorithm is as follows:
the electric parameter of the sensor is analog signal or current signal, the electric signal range is set to be 0-n, the electric parameter value corresponds to the measuring range of 0-m, the actual physical signal y reflected by the electric signal is calculated by two-point type through linear equation,
(y-y1)/(y2-y1)＝(x-x1)/(x2-x1)(x1≠x2，y1≠y2)
if the value of the electric parameter obtained by the electric parameter of the sensor after being acquired by the AD is x, the actually reflected physical value y is x (n/m).
Specifically, this system still has the system power module, the system power module includes solar panel, lithium cell and commercial power triplex. Different choices can be made according to the field environment and the use requirement.
The data acquisition mainly comprises the steps of acquiring soil moisture content data, agricultural meteorological data and pest and disease damage monitoring data, wherein the soil moisture content data is monitored by soil sensors such as a soil humidity sensor and a soil nutrient analyzer in real time, and then whether fertilization, watering and other operations are needed to improve the soil condition is judged; the sensors distributed in the air can monitor the concentration, temperature, humidity and illumination conditions of CO2, and real-time field monitoring is carried out according to information; other parameters may also be selected, such as PH, conductivity, etc. in the soil. Monitoring the field weather condition by a weather monitoring station on the farmland field according to the agricultural weather data, and uploading the data in time to report the weather condition; the pest and disease damage monitoring data is analyzed and forecast by a pest situation lamp, and the system operation of trapping pests, killing pests, collecting, subpackaging, draining and the like is automatically completed under the condition of no supervision by using modern optical, electric and numerical control technologies; shooting at regular time through a camera to acquire the picture of the insect body collected in the insect receiving box; the collected data are automatically uploaded to a remote Internet of things monitoring platform through a GPRS mobile wireless network, the platform automatically records the collected data every day to form a pest damage database, the pest damage database can be displayed in a data list and a chart mode, and workers can remotely know the situation and the change of the pest body at any time to make prevention and control measures; the fixed spore trap can detect pathogenic spore and pollen dust particles which flow and infect with air, is mainly used for monitoring the stock of the disease spore and the diffusion dynamic state thereof, and provides reliable data for predicting and preventing disease prevalence and infection.
The real-time data monitoring module receives data uploaded by each node through the contact between the wireless sensing node of each base point and the upper computer, the data are displayed on the equipment of a user, then the setting, the storage and the processing of the data are realized, and the data are dynamically displayed, analyzed and processed and displayed to the user in a visual chart and curve mode; when some received data exceeds or is lower than a certain threshold value, the system can make a preliminary judgment, automatically report and warn, provide various acousto-optic alarms and short message alarm information according to the requirements of planting crops, request the intervention of the previous level, and process the information by the previous level after reporting.
The user can check data at any time and any place through various devices of the mobile terminal, and can see and take measures in time when the abnormity early warning module operates, and the user can intervene manually; the real-time state of crop production can be intuitively reflected by adopting video monitoring, and the growth vigor of some crops can be intuitively reflected by introducing video images and image processing, and the overall state and the nutrition level of the crop growth can also be reflected laterally; the user side can also remotely control irrigation, fertilization and other operations.
The system adopted by the invention can transmit the acquired data and the monitoring image to the network through GPRS, and the user terminal can check the data and the monitoring image at any place with the network and carry out corresponding operation according to the user authority, thereby achieving the purpose of remote control without going out of home and realizing information sharing, remote diagnosis and service scheduling; each link and node are clear in work and closely connected, so that the accuracy and feasibility of commands are improved; agricultural resources, land resources, water resources and production data can be effectively scheduled at high energy, and the aims of energy conservation and high efficiency are fulfilled.
Drawings
FIG. 1 is a system architecture diagram of the present invention;
fig. 2 is a block diagram of an ARM upper computer monitoring software.
Detailed Description
The invention is described in detail below with reference to the figures and the specific embodiments.
As shown in fig. 1 and 2, a real-time monitoring system for agricultural articles comprises a data acquisition system, a data transmission system and an analysis control system, and is characterized in that the data acquisition system comprises a soil humidity sensor, a soil nutrient analyzer, a meteorological monitoring station, an insect condition analysis and forecast lamp, a fixed spore capture instrument, a seedling condition and disaster monitoring camera and a water and fertilizer all-in-one machine, the data transmission system is a GPRS mobile wireless network, and the analysis control system is ARM upper computer monitoring software and comprises basic information management, a system parameter setting module, a real-time data monitoring module, a control module, a data dynamic analysis module and an abnormity early warning module; data acquired by each module in the data acquisition system is transmitted to the real-time data monitoring module through the data transmission system, the data dynamic analysis module is used for realizing analysis on the change trend of environmental parameters of monitoring points in a dynamic waveform mode, and a command is sent to a lower computer through the communication module; the basic information management is internally stored with field information and Internet of things equipment information and has the functions of adding, deleting and modifying the basic information; the system parameter setting module sets standard values, control parameters and serial port parameter values of crop growth environment parameters of the monitoring points, and the abnormity early warning module carries out alarm recording by judging whether the crop growth environment exceeds a set threshold value or not.
Further, the ARM upper computer monitoring software comprises a login module, an operator management module and a historical data query module, wherein the login module comprises system administrator login and operation for login; the operator management module comprises an operation user information database and is used for inquiring the registration basic information of the operator; and the historical data query module is used for querying and displaying the perception data information of the specified detection node in a specified time period.
Further, various sensor signals at the front end of the data acquisition system are processed by an MCU in the acquisition board through an algorithm to obtain actual physical values, and the specific algorithm is as follows:
the electric parameter of the sensor is analog signal or current signal, the electric signal range is set to be 0-n, the electric parameter value corresponds to the measuring range of 0-m, the actual physical signal y reflected by the electric signal is calculated by two-point type through linear equation,
(y-y1)/(y2-y1)＝(x-x1)/(x2-x1)(x1≠x2，y1≠y2)
if the value of the electric parameter obtained by the electric parameter of the sensor after being acquired by the AD is x, the actually reflected physical value y is x (n/m).
Specifically, this system still has the system power module, the system power module includes solar panel, lithium cell and commercial power triplex. Different choices can be made according to the field environment and the use requirement.
The data acquisition mainly comprises the steps of acquiring soil moisture content data, agricultural meteorological data and pest and disease damage monitoring data, wherein the soil moisture content data is monitored by soil sensors such as a soil humidity sensor and a soil nutrient analyzer in real time, and then whether fertilization, watering and other operations are needed to improve the soil condition is judged; the sensors distributed in the air can monitor the concentration, temperature, humidity and illumination conditions of CO2, and real-time field monitoring is carried out according to information; other parameters may also be selected, such as PH, conductivity, etc. in the soil. Monitoring the field weather condition by a weather monitoring station on the farmland field according to the agricultural weather data, and uploading the data in time to report the weather condition; the pest and disease damage monitoring data is analyzed and forecast by a pest situation lamp, and the system operation of trapping pests, killing pests, collecting, subpackaging, draining and the like is automatically completed under the condition of no supervision by using modern optical, electric and numerical control technologies; shooting at regular time through a camera to acquire the picture of the insect body collected in the insect receiving box; the collected data are automatically uploaded to a remote Internet of things monitoring platform through a GPRS mobile wireless network, the platform automatically records the collected data every day to form a pest damage database, the pest damage database can be displayed in a data list and a chart mode, and workers can remotely know the situation and the change of the pest body at any time to make prevention and control measures; the fixed spore trap can detect pathogenic spore and pollen dust particles which flow and infect with air, is mainly used for monitoring the stock of the disease spore and the diffusion dynamic state thereof, and provides reliable data for predicting and preventing disease prevalence and infection.
The real-time data monitoring module receives data uploaded by each node through the contact between the wireless sensing node of each base point and the upper computer, the data are displayed on the equipment of a user, then the setting, the storage and the processing of the data are realized, and the data are dynamically displayed, analyzed and processed and displayed to the user in a visual chart and curve mode; when some received data exceeds or is lower than a certain threshold value, the system can make a preliminary judgment, automatically report and warn, provide various acousto-optic alarms and short message alarm information according to the requirements of planting crops, request the intervention of the previous level, and process the information by the previous level after reporting.
The user can check data at any time and any place through various devices of the mobile terminal, and can see and take measures in time when the abnormity early warning module operates, and the user can intervene manually; the real-time state of crop production can be intuitively reflected by adopting video monitoring, and the growth vigor of some crops can be intuitively reflected by introducing video images and image processing, and the overall state and the nutrition level of the crop growth can also be reflected laterally; the user side can also remotely control irrigation, fertilization and other operations.
Claims (4)
1. A real-time monitoring system for agricultural materials comprises a data acquisition system, a data transmission system and an analysis control system, and is characterized in that the data acquisition system comprises a soil humidity sensor, a soil nutrient analyzer, a meteorological monitoring station, an insect condition analysis and forecast lamp, a fixed spore capture instrument, a seedling condition and disaster condition monitoring camera and a water and fertilizer all-in-one machine, the data transmission system is a GPRS mobile wireless network, the analysis control system is ARM upper computer monitoring software and comprises a basic information management module, a system parameter setting module, a real-time data monitoring module, a control module, a data dynamic analysis module and an abnormity early warning module; data acquired by each module in the data acquisition system is transmitted to the real-time data monitoring module through the data transmission system, the data dynamic analysis module is used for realizing analysis on the change trend of environmental parameters of monitoring points in a dynamic waveform mode, and a command is sent to a lower computer through the communication module; the basic information management is internally stored with field information and Internet of things equipment information and has the functions of adding, deleting and modifying the basic information; the system parameter setting module sets standard values, control parameters and serial port parameter values of crop growth environment parameters of the monitoring points, and the abnormity early warning module carries out alarm recording by judging whether the crop growth environment exceeds a set threshold value or not.
2. The real-time agricultural monitoring system of claim 1, wherein the ARM upper computer monitoring software comprises a login module, an operator management module and a historical data query module, wherein the login module comprises login of a system administrator and operation for login; the operator management module comprises an operation user information database and is used for inquiring the registration basic information of the operator; and the historical data query module is used for querying and displaying the perception data information of the specified detection node in a specified time period.
3. The real-time agricultural product monitoring system of claim 2, wherein the actual physical values of the signals of the various sensors at the front end of the data acquisition system are obtained by processing the signals through an MCU in the acquisition board through an algorithm, and the specific algorithm is as follows:
the electric parameter of the sensor is analog signal or current signal, the electric signal range is set to be 0-n, the electric parameter value corresponds to the measuring range of 0-m, the actual physical signal y reflected by the electric signal is calculated by two-point type through linear equation,
(y-y1)/(y2-y1)＝(x-x1)/(x2-x1)(x1≠x2，y1≠y2)
if the value of the electric parameter obtained by the electric parameter of the sensor after being acquired by the AD is x, the actually reflected physical value y is x (n/m).
4. An agricultural real-time monitoring system as claimed in any one of claims 1 to 3, wherein the system further comprises a system power supply module, and the system power supply module comprises a solar panel, a lithium battery and a mains supply. Different choices can be made according to the field environment and the use requirement.
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| CN201911181113.5A CN110825058A (en) | 2019-11-27 | 2019-11-27 | Crop real-time monitoring system |
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| CN201911181113.5A CN110825058A (en) | 2019-11-27 | 2019-11-27 | Crop real-time monitoring system |
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112714410A (en) * | 2021-01-25 | 2021-04-27 | 中北大学 | Agricultural monitoring method with movable nodes |
| CN113091822A (en) * | 2021-04-13 | 2021-07-09 | 山东奥德山水市政园林有限公司 | Intelligent monitoring device for municipal garden |
| CN113557905A (en) * | 2021-07-30 | 2021-10-29 | 福建省林业科学研究院 | Intelligent cultivation method for Chinese torreya |
| CN113884138A (en) * | 2021-10-14 | 2022-01-04 | 一鼎(福建)生态园林建设有限公司 | Big data-based intelligent planting monitoring system |
| CN114858219A (en) * | 2022-06-09 | 2022-08-05 | 西安微媒软件有限公司 | Agricultural Internet of things management and analysis platform for greenhouse |
| CN115203315A (en) * | 2022-07-18 | 2022-10-18 | 浙江鼎昆环境科技有限公司 | System for displaying monitoring point states for judging existence of termites on software based on sensor of Internet of things and computing method |
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Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN115203315A (en) * | 2022-07-18 | 2022-10-18 | 浙江鼎昆环境科技有限公司 | System for displaying monitoring point states for judging existence of termites on software based on sensor of Internet of things and computing method |
| CN115203315B (en) * | 2022-07-18 | 2023-06-27 | 浙江鼎昆环境科技有限公司 | Monitoring point state display system and calculation method |
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