CN102854854A - Internet of things-based facility vegetable farmland environment monitoring and standardized production system - Google Patents
Internet of things-based facility vegetable farmland environment monitoring and standardized production system Download PDFInfo
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Abstract
The invention relates to an Internet of things-based facility vegetable farmland environment monitoring and standardized production system, which comprises a networked facility farmland monitoring and control device and a monitoring and early warning platform; and the networked facility farmland monitoring and control device transmits facility farmland environment parameters and corresponding video files monitored in a network to the monitoring and early warning platform via the 3G network or the Ethernet network, and monitors and controls the facility farmland environment in real time. The system adopts the Internet of things comprising a master data acquisition device and a plurality of controlled data acquisition devices to transmit acquired monitored data to the monitoring and early warning platform via the 3G network or the Ethernet network, and thereby the facility farmland environment is monitored in real time. In the monitoring and early warning platform, various farming activities in the process of facility greenhouse agricultural production can be effectively guided according to the facility farmland environment parameters monitored in real time. The system can be widely applied in facility farmland applications.
Description
Technical Field
The invention relates to an agricultural planting environment monitoring and production control system, in particular to a facility vegetable farmland environment networking monitoring and standardized production system based on the technology of Internet of things.
Background
The agricultural Internet of things numerical control system is a part of the Internet of things technology, and currently, the Internet of things has become a leading field for building a new economic and social development mode and remodeling the long-term competitiveness of the country in each country. Developed countries accelerate the development of the internet of things by measures such as national strategy guidance, government research and development investment, enterprise global promotion, application trial construction, policy and law guarantee and the like so as to seize strategic initiative and develop first opportunity. China has certain application, technology and industrial foundation, and the construction of an Internet of things industrial park, the construction of intelligent/smart cities, application demonstration and the like are taken as marks, so that the development trend of the Internet of things is formed, positive progress is achieved, and the Internet of things is listed in the development outline by 'twelve five' of China, so that a good development opportunity is provided for the development of the Internet of things industry.
At present, most of domestic and foreign Internet of things enterprises are sensor production enterprises or microclimate equipment production enterprises. The countries and the mechanisms for professional research of the application of the Internet of things in specific industries are few, and no professional system capable of directly guiding agricultural production or integrating and optimizing the whole industry is formed. The technical level of the method is still that a single acquisition device can only be configured with a small number of sensors to acquire data, can not freely network to acquire data and effectively control agricultural facilities, and can not adopt a wireless technology to transmit data and video information, and the combination technology of the three is not in great help.
How to really realize networking and clustering management of agricultural Internet of things equipment, information islands of all Internet of things are organically combined into a network, effective control is realized at all nodes of the Internet of things, and the networking concept of the agricultural Internet of things is really realized, so that the technical characteristics of multi-path acquisition, wireless free networking, wireless wired free transmission and the like are realized.
The agricultural Internet of things numerical control system plays an important role in monitoring, protecting and improving the ecological environment. The system collects and analyzes data of a series of environmental elements in a free networking or independent monitoring mode and combines application parameters provided by relevant industry experts to monitor and control the environment of the region. The method can be widely applied to food safety, chemical industry, storage, returning to forest and returning to grass, natural forest protection, mountain sealing and forest cultivation, atmospheric environment monitoring, water quality and water body monitoring and control, plant growth and environment monitoring and control, desert control monitoring, agricultural irrigation, facility agriculture, urban three-dimensional greening, fishery production and regional agricultural large-scale production. At present, an agricultural Internet of things numerical control system is applied to the fields of high-efficiency high-quality facility agriculture and high-grade aquaculture, and more importantly, the system has very important significance in the aspects of guaranteeing food safety, tracing food, expanding agricultural product exports and the like.
Disclosure of Invention
In view of the above problems, the invention aims to provide a facility vegetable farmland environment monitoring and standardized production system based on the internet of things technology, which can monitor facility farmland environment in real time and can effectively guide various farming activities in the process of facility greenhouse agricultural production.
In order to achieve the purpose, the invention adopts the following technical scheme: the utility model provides a facility vegetables farmland environmental monitoring and standardized production system based on thing networking which characterized in that: the system comprises a facility farmland networking monitoring control device and a monitoring early warning platform; the facility farmland networking monitoring and controlling equipment transmits the environment parameters of the facility farmland monitored in the network and corresponding video files to the monitoring and early warning platform through a 3G network or an Ethernet, and monitors and controls the environment of the facility farmland in real time; the facility farmland networking monitoring control equipment comprises a main control data acquisition device and a plurality of controlled data acquisition devices, and each main control data acquisition device and a plurality of controlled data acquisition devices are respectively arranged in each greenhouse to be monitored in the field; the master control data acquisition equipment consists of a communication module, a data acquisition module, a sensor group, a wireless transceiving module, a power supply module and a video module, wherein the power supply module supplies power to the master control data acquisition equipment; the sensor group transmits various acquired environmental parameters to the data acquisition module, and the environmental parameters are processed by the data acquisition module and then transmitted to the communication module; the wireless transceiving module is used for receiving the greenhouse environment parameters and the equipment labels thereof transmitted by the controlled data acquisition equipment and sending all received data information to the communication module; the video module is used for collecting the growth state video information of crops in the greenhouse and sending the collected video information to the communication module; the communication module transmits the received data information and video information to the monitoring and early warning platform through a 3G network or an Ethernet; each controlled data acquisition device comprises a data acquisition module, a sensor group, a power supply module, a video module and a wireless transmission module, wherein the sensor group transmits various acquired environmental parameters to the wireless transmission module through the data acquisition module; the video module transmits the collected crop growth state video information to the wireless transmitting module; and the wireless transmitting module transmits all the received information and the equipment labels thereof to the wireless transceiving module of the master control data acquisition equipment.
The controlled data acquisition equipment adopts 255 or less.
The power supply module adopts an external power supply or a solar power supply device.
The solar power supply device comprises a heat collection plate and a storage battery pack, the heat collection plate converts heat energy into electric energy and transmits the electric energy to the storage battery pack, and a heat preservation box is further arranged outside the storage battery pack and controls the temperature of the storage battery pack; a temperature sensor, a controller and a temperature regulator are arranged in the heat insulation box; the temperature sensor transmits the collected working temperature of the storage battery pack into the controller, and the controller controls the temperature regulator to work.
The temperature regulator adopts a temperature rising device or a temperature reducing bottle, or consists of the temperature rising device and the temperature reducing bottle.
The sensor group comprises a soil humidity sensor, a soil temperature sensor, an air humidity sensor, a carbon dioxide concentration sensor and a sunlight illumination sensor; the soil humidity sensors are arranged in two groups, each group is provided with three soil humidity sensors, and the two groups of sensors are respectively used for measuring the soil humidity of the surface layer and the lower layer of the soil; the soil temperature sensor is arranged in one way and is used for measuring the earth surface temperature with large change; the air temperature sensor, the air humidity sensor, the carbon dioxide concentration sensor and the sunlight illumination sensor are all arranged into two paths.
The monitoring and early warning platform is internally provided with a data processing module, a facility control module and a display screen, the data processing module comprehensively analyzes and processes the equipment labels, the environmental parameters and the video information transmitted to the main control data acquisition equipment and the controlled data acquisition equipment to obtain the environmental parameters in the greenhouses, the environmental parameters are respectively transmitted to the facility control module and the display screen to be displayed in real time, and the facility control module controls the automatic agricultural equipment at the rear end to carry out farm work operation according to the received environmental parameters.
Due to the adoption of the technical scheme, the invention has the following advantages: 1. the invention adopts an Internet of things entity consisting of a main control data acquisition device and a plurality of controlled data acquisition devices, and transmits the acquired monitoring data to a monitoring and early warning platform through a 3G network or an Ethernet, thereby realizing the real-time monitoring of the facility farmland environment. In the monitoring and early warning platform, according to the change parameters of the facility farmland environment monitored in real time, the guidance suggestions of agricultural experts are combined, and various farming activities in the agricultural production process of the facility greenhouse can be effectively guided through the calculation of the monitoring and early warning platform. 2. According to the invention, the 3G network or the Ethernet is adopted between the facility farmland networking detection control equipment and the monitoring and early warning platform for data transmission, so that the data transmission speed and the transmission quality can be obviously improved, particularly, the transmission of video and sound data can be well realized, and the requirements of real-time monitoring, early warning, control and management of agricultural production are further met. 3. The power supply modules are arranged in the controlled data acquisition equipment and the master control data acquisition equipment in the facility farmland networking monitoring control equipment, and the power supply modules can adopt an external power supply and a solar power supply device, so that the application range of the invention is expanded. 4. The facility farmland networking monitoring control device comprises the master control data acquisition device and the controlled data acquisition devices, and the master control data acquisition device and the controlled data acquisition devices are respectively arranged in the greenhouses to be monitored in the farmland to form the Internet of things, so that the independent networking hierarchical management is realized. 5. The invention adopts the monitoring and early warning platform to be arranged in a data management center (various places or local machine rooms), climate data and image data transmitted through a 3G network enter a database through a data communication protocol of a server end reaching the bottom layer of the platform, so that the unified processing of two-network data of a wireless communication network and an Internet network is realized, corresponding calculation is completed through a data processing module in the monitoring and early warning platform, and then results such as early warning or decision making are obtained, and after the early warning information is confirmed, the monitoring and early warning platform can automatically adjust the agricultural environment. 6. The technical scheme provided by the invention is that the device is installed to monitor the high-yield monitoring data of a certain crop in a certain season of a certain agricultural producer in agricultural production, an expert system is formed through data analysis statistics and experience values of farmland environment in production, real-time comparison is carried out on the real-time monitoring data and the expert system data, facilities in the greenhouse are effectively controlled, the environment of the facility farmland is changed, and various farming activities in the agricultural production process of the facility greenhouse are effectively guided. The invention can be widely applied to facility farmland application.
Drawings
FIG. 1 is a schematic view of the overall structure of the present invention;
FIG. 2 is a schematic diagram of a master data acquisition device of the present invention;
FIG. 3 is a schematic diagram of a controlled data acquisition device according to the present invention;
FIG. 4 is a schematic structural diagram of the power supply module of the present invention using a solar power supply device;
FIG. 5 is a schematic view of a sensor cluster installation of the present invention;
FIG. 6 is a graph of the soil moisture sensor trend of the present invention changing over 2, 10 months in 2012; wherein,is a soil humidity curve chart at the position of 20m on the east side in the greenhouse,
is a soil humidity curve chart at the position of 50m on the east side in the greenhouse,
is a soil humidity curve chart at the position of 20m in the middle of the greenhouse,
is a soil humidity curve chart at the middle part 50m in the greenhouse,
is a soil humidity curve chart at the position of 20m on the west side in the greenhouse,
a soil humidity curve chart at the position 50m on the west side in the greenhouse;
FIG. 7 is a graph showing the change trend of the soil temperature sensor of the present invention when the soil temperature sensor is buried 20 cm underground in the center of a greenhouse, 2 months and 10 days in 2012;
FIG. 8 is a graph of the air temperature sensor trend of the present invention changing over 2, month, 10 days 2012; wherein, the dotted line is a temperature curve diagram of the upper part of the greenhouse, and the solid line is a temperature curve diagram of the lower part of the greenhouse;
FIG. 9 is a graph of the air humidity sensor trend of the present invention changing over 2, 10 months in 2012; wherein, the dotted line is a graph of the air humidity at the upper part of the greenhouse, and the solid line is a graph of the air humidity at the lower part of the greenhouse;
FIG. 10 is a graph of the carbon dioxide sensor trend of the present invention over 2, 10 months of 2012; wherein, the dotted line is a carbon dioxide concentration curve chart of the upper part of the greenhouse, and the solid line is a carbon dioxide concentration curve chart of the lower part of the greenhouse;
fig. 11 is a graph of the change trend of the daylight illuminance sensor of the present invention at 2/10/2012; wherein, the dotted line is a sunlight illumination curve chart at the front part of the greenhouse, and the solid line is a sunlight illumination curve chart at the rear part of the greenhouse;
FIG. 12 is an effect diagram of the first embodiment of the present invention;
fig. 13 is an effect diagram of the second embodiment of the present invention.
Detailed Description
The invention is described in detail below with reference to the figures and examples.
As shown in figure 1, the invention comprises a facility farmland networking monitoring and controlling device 10 and a monitoring and early warning platform 40 which are arranged in each greenhouse of the farmland. The facility farmland networking monitoring and controlling device 10 transmits the facility farmland environmental parameters and corresponding video files monitored in the network to the monitoring and early warning platform 40 through the 3G network or the Ethernet in a free networking mode, and realizes real-time monitoring and control on the facility farmland environment in the monitoring and early warning platform 40 through calculation, thereby guiding various farming activities in the facility greenhouse agricultural production process.
The facility farmland networking monitoring control device 10 comprises a main control data acquisition device 20 and a plurality of controlled data acquisition devices 30, wherein the main control data acquisition device 20 and each controlled data acquisition device 30 are respectively arranged in each greenhouse to be monitored in the field to form the Internet of things.
As shown in fig. 2, the main control data acquisition device 20 is composed of a communication module 21, a data acquisition module 22, a sensor group 23, a wireless transceiver module 24, a power supply module 25 and a video module 26, wherein the power supply module 25 supplies power to the main control data acquisition device 20. The sensor group 23 transmits the acquired various environmental parameters to the data acquisition module 22, and the acquired various environmental parameters are converted, packaged and the like by the data acquisition module 22 and then transmitted to the communication module 21; the wireless transceiving module 24 is configured to receive each greenhouse environment parameter and its device tag transmitted by each controlled data acquisition device 30, and send all received data information to the communication module 21; the video module 26 is used for collecting the growth state video information of each crop in the greenhouse and sending the collected video information to the communication module 21. The communication module 21 transmits the received data information and video information to the monitoring and early warning platform 40 through the 3G network or the ethernet.
As shown in fig. 3, each controlled data acquisition device 30 is similar in structure to the master data acquisition device 20, and includes a wireless transmission module 34 in addition to the data acquisition module 22, the sensor group 23, the power supply module 25 and the video module 26. The sensor group 23 transmits the collected various environmental parameters and video information to the wireless sending module 34 through the data collecting module 22; the video module 26 transmits the collected crop growth state video information to the wireless transmitting module 34. The wireless transmitting module 34 transmits all the received information and the device tags thereof to the wireless transceiving module 24 of the master control data acquisition device 20.
The controlled data acquisition equipment 30 can adopt 255 pieces at most, and an internet of things is formed in the field.
In the above embodiment, the power supply module 25 may adopt an external power supply, or may adopt a solar power supply device. The solar power supply device adopted by the invention has longer service life. As shown in fig. 4, the solar power supply device includes a heat collecting plate 251 and a battery pack 252, the heat collecting plate 251 converts heat energy into electric energy and transmits the electric energy to the battery pack 252, the battery pack 252 generates electricity to operate, and a heat insulation box 253 arranged outside the battery pack 252 controls the temperature of the battery pack 252, so that the temperature of the battery pack 252 is always within a safe use temperature range, the use safety is ensured, and the service life is prolonged.
The incubator 253 is provided therein with a temperature sensor 254, a controller 255, and a temperature regulator 256. The temperature sensor 254 transmits the collected working temperature of the storage battery pack 252 to the controller 255, compares the working temperature with a preset threshold value in the controller 255, and when the working temperature is higher than the preset threshold value, the controller 255 controls the temperature regulator 256 to cool down the storage battery pack 252 to a safe temperature range; when the temperature is lower than the preset threshold value, the controller 255 controls the temperature regulator 256 to increase the temperature, so that the temperature of the battery pack 252 is increased to a safe temperature range, and the battery pack 252 is ensured to be always in a safe use temperature range.
The temperature regulator 256 may adopt a cooling bottle 257 or a temperature rising device 258 alone according to the requirement of the use environment, or may adopt a temperature regulator composed of the cooling bottle 257 and the temperature rising device 258. When the temperature regulator 256 is composed of a cooling bottle 257 and a heater 258, the temperature sensor 254 transmits the collected working temperature of the storage battery pack 252 to the controller 255, and compares the working temperature with a preset threshold value in the controller 255, and when the working temperature is higher than the preset threshold value, the controller 255 controls the cooling bottle 257 to work to cool the storage battery pack 252; when the temperature is lower than the preset threshold value, the controller 255 controls the temperature increasing device 258 to work, so that the temperature of the storage battery pack 252 is increased, and the storage battery pack 252 is ensured to be always in a safe use temperature range. When the cooling bottle 7 is used alone or the temperature increasing device 258 is used alone, the control principle of the controller 255 is consistent with the above principle, and the detailed description is omitted. The preset threshold in the controller 255 is any value between 18 ℃ and 25 ℃; the cooling bottle 257 is filled with a coolant to realize a cooling function; the temperature increaser 258 may employ a heating wire.
In the above embodiments, the data acquisition module 22 collects data acquired by the sensor group 23 once every 10 to 50 minutes.
In the above embodiments, the sensor group 23 includes the soil humidity sensor 231, the soil temperature sensor 232, the air temperature sensor 233, the air humidity sensor 234, the carbon dioxide concentration sensor 235, and the sunlight illuminance sensor 236.
Soil moisture sensors 231 are arranged in two groups, each group is provided with three soil moisture sensors, the two groups of sensors are respectively used for measuring the soil moisture of the soil surface layer and the soil moisture of the lower layer, and the burial depths of the two groups of sensors are respectively 20 cm and 50 cm away from the earth surface. As shown in fig. 5, the soil humidity sensor 231 has 6 paths, and is divided into 3 points, east, middle and west, using the gate direction of the greenhouse as a starting point, and each point is provided with two sensors for testing the soil humidity at 20 cm and the soil humidity at 50 cm. The detection proves that the soil humidity changes slightly and is basically maintained on a horizontal line (as shown in figure 6). Taking greenhouse tomato planting as an example, the soil humidity monitoring result is preferably 60% -80%, the lower limit of the soil humidity of the tomatoes is 45%, and when the monitoring result is less than 45%, the farmland should be watered.
The soil temperature sensor 232 is arranged into a path and used for measuring the earth surface temperature with large change, and the soil temperature sensor is buried 10-25 cm away from the earth surface. As shown in fig. 6, the soil temperature sensor 232 is buried 20 cm underground in the center of the greenhouse. Through detection and verification, the soil temperature change trend is similar to the air temperature change, but the change amplitude is relatively small. The soil temperature value at night is 5-10 ℃, and the maximum temperature of the whole day is 9-16 points, which is about 15 ℃ (as shown in figure 7). Taking greenhouse planting of tomatoes as an example, the tomatoes can be planted only when the ground temperature of 10 cm is stabilized above 8 ℃, the proper soil temperature (5-10 cm soil layer) for root growth is 20-22 ℃, and the root growth is hindered when the temperature is lower than 12 ℃.
The air temperature sensors 233 are arranged in two ways and are respectively used for measuring the air temperature at the ground and at the upper part of the greenhouse. As shown in fig. 5, the air temperature sensors 233 are installed in the middle of the greenhouse, and the two air temperature sensors are respectively installed at the upper part of the plant, which is about 1.2 meters away from the ground surface, and at the lower part of the plant, which is about 0.6 meters away from the ground surface. Through detection and verification, the values of the two paths of air temperature sensors are close (as shown in figure 8), and the maximum difference is 2 ℃; after 8 o ' clock, the temperature is greatly increased, 10 o ' clock reaches 29 deg.C, 14 o ' clock reaches 35 deg.C, 17 o ' clock is decreased to below 20 deg.C, and after 21 o ' clock at night, the temperature is decreased to below 10 deg.C. Using greenhouse tomato as an example, the greenhouse tomato is suitable for growing and developing in seasons with the average monthly temperature of 20-25 ℃, the temperature adaptation range is 10-35 ℃, but the requirements and reactions of different growth stages on the temperature are different. The optimal temperature for seed germination is 28-30 ℃, the minimum temperature is 11 ℃, the maximum temperature is 35 ℃, and rotten seeds are easy to cause when the temperature is lower than 11 ℃. The optimum day temperature for the growth of seedlings and plants is 24-28 ℃, and the optimum night temperature is 15-18 ℃. The growth amount is reduced below 10 ℃; the stem leaves stop growing below 5 ℃; suffers from freezing damage at-1 ℃ to-2 ℃; when the temperature in the greenhouse reaches 25 ℃, opening an air port for ventilation and adjusting the temperature; and covering and opening the grass mat according to the temperature.
The air humidity sensor 234 is provided with two paths for measuring the air humidity at the ground surface and on the upper part of the greenhouse respectively. As shown in fig. 5, the air humidity sensor 234 is installed in the middle of the greenhouse, and the two humidity sensors are respectively installed at the upper part 1/3 and the lower part 1/3 of the plant. The detection proves that the air humidity is highest at night, and the value of the sensor positioned at the upper part of the plant is about 15 percent higher than that of the sensor positioned at the lower part of the plant; the air humidity at the 9-16 points is the lowest, about 30%, because the soil humidity is lower, and the tomato plants grow weakly at this stage, and the difference of the values of the two air humidity sensors is not large (as shown in fig. 9). For example, tomatoes are planted in a greenhouse, and the air humidity is preferably 45-50%. The air humidity is high, so that normal pollination is hindered, the disease is serious under the condition of high temperature and high humidity, and measures such as paving a mulching film to reduce the humidity and the like are taken when the monitoring result is high.
The carbon dioxide concentration sensor 235 is arranged in two ways and is used for measuring the carbon dioxide concentration of the air at the ground surface and the air above the greenhouse. As shown in fig. 5, the carbon dioxide concentration sensor 235 is installed in the middle of the greenhouse, the two carbon dioxide concentration sensors are respectively installed at the plant upper part 1/3 and the plant lower part 1/3, the demand of the growth of the vegetables for carbon dioxide is higher than 20% of that in the common environment, and when the real-time monitoring result is not higher than 20%, the carbon dioxide can be suitably introduced into the greenhouse, so that the growth of the vegetables is promoted. Through detection and verification, the change trends of the detection values of the two carbon dioxide concentration sensors are the same, and the detection value on the upper part of the plant is higher than the detection value on the lower part of the plant. The fluctuation range of the whole day is more than 6 months, probably because the photosynthetic capacity of the crops is reduced, and the ventilation time is shorter than 6 months. The night value is higher than the day, the lower probe value is about 1200 at night, and the upper probe value is about 900; after 8 am, the number of the lower probes is greatly reduced, about 650, and about 550; after 16 points, the temperature slowly rises (as shown in FIG. 10).
The sunlight illumination sensors 236 are arranged in two ways and are respectively used for measuring the sunlight illumination of 1/3 positions in the north-south direction of the greenhouse. As shown in FIG. 5, the daylight illumination sensors 236 are respectively placed on the upper layer, the front third and the rear third of the plants in the same ridge in the middle of the greenhouse. Through detection and verification, the illumination is greatly enhanced after 8 points, the illumination of 9-16 points is about 5 kilolux (illumination intensity unit), the detection value of the front part is higher than that of the rear part at 9-12 points, the detection value of the rear part is higher at 12-16 points, and the detection value of the rear part is greatly reduced after 16 points (as shown in fig. 11). For example, tomatoes are planted in greenhouses, and the requirements for the length of sunshine of tomatoes in the genus of mesophous are wide, and the best illumination condition is about 16 hours every day. The light saturation point of the tomato is 7 ten thousand lux, and generally 3 to 3.5 ten thousand lux should be kept. Sufficient illumination, vigorous photosynthesis, normal flower bud differentiation, more fruits and high yield; insufficient illumination, slender stem nodes, thinned leaves, light leaf color, delayed flower bud differentiation time, deteriorated flower quality and easy flower and fruit dropping.
As shown in fig. 1, the monitoring and early warning platform 40 is disposed in a data management center (each place or local machine room), and the climate data and the image data transmitted through the 3G network enter a database through a data communication protocol from a server end to the bottom layer of the platform, so as to implement unified processing of two-network data of a wireless communication network and an Internet network. The monitoring and early warning platform 40 is internally provided with a data processing module 41, a facility control module 42 and a display screen 43, the data processing module 41 comprehensively analyzes and processes the device labels, the environmental parameters and the video information transmitted to the main control data acquisition device 20 and the controlled data acquisition devices 30 to obtain the environmental parameters in the greenhouses, and the environmental parameters are respectively transmitted to the facility control module 42 and the display screen 43 to be displayed in real time and are simultaneously stored in a database. The facility control module 42 forms a guidance scheme (control program) for a standardized agricultural production system of a certain plant (for example, a specific plant such as a large tomato, a cherry tomato, etc.) according to the received environmental parameters and the environmental parameters transmitted from the expert database preset in the monitoring and early warning platform 40, so as to control the automatic agricultural equipment at the rear end to perform corresponding agricultural operations, such as watering, fertilizing, ventilating, etc. The user can directly check the environmental parameter information and the video information of each monitored greenhouse through the display screen 43 so as to guide various farming activities in the agricultural production process of the facility greenhouse.
In summary, the facility farmland networking monitoring control device 10 and the monitoring and early warning platform 40 adopted in the invention realize unified processing of two-network data of the 3G network and the ethernet network by using a data fusion technology, and historical collected data and videos of monitoring points can be directly checked on the monitoring and early warning platform 40. The environmental monitoring data transmitted by the facility farmland networking monitoring control device 10 enters a database through a data communication protocol of the system, and is subjected to corresponding calculation processing through the data processing module 51 in the monitoring and early warning platform 40 to obtain an early warning and monitoring result of a standardized production system, so as to guide corresponding farmland management.
The technical effects of the present invention will be further described below by way of specific examples.
Example 1:
as shown in fig. 12, by using the system for monitoring and standardizing the environment of the greenhouse vegetable farmland based on the internet of things, a standardized production guidance scheme (with the copyright number of 2012r11l 046149) for the big tomatoes in the winter and spring stubbles is formed, and then the standardized production of the internet of things is performed on the big tomatoes in the winter and spring stubbles, wherein the yield is 147.9 tons/hectare from 2 months to 7 months in 2011; the yield of the large tomatoes produced by local farmers in the same crop is 132.2 tons/ha. Therefore, the yield of the large tomatoes produced by the standardized production guidance scheme formed by the invention is increased by 10.62 percent compared with the conventional production of local farmers in the same cropping.
Example 2:
as shown in fig. 13, by using the facility vegetable farmland environment monitoring and standardized production system based on the internet of things of the present invention, a standardized production guidance scheme (with the copyright number of 2012r11l 046164) for autumn and winter cherry tomatoes is formed, and further, the internet of things standardized production is performed for autumn and winter cherry tomatoes, and the yield is 19.3 tons/hectare from 9 months to 2 months in 2011 to 2012; when local farmers in the same crop routinely produce cherry tomatoes, the normal production of the crop encounters extreme weather, the whole growth period encounters low temperature influence, the total yield is influenced, and the yield is 18.4 tons/hectare. Therefore, under the condition of monitoring of the Internet of things, corresponding measures are taken in advance for the autumn and winter cherry tomatoes produced by the standardized production guidance scheme formed by the invention, and the yield of the cherry tomatoes is increased by 4.66% compared with the conventional production of farmers.
The above embodiments are only for illustrating the present invention, and the connection and structure of the components may be changed, and on the basis of the technical solution of the present invention, the improvement and equivalent transformation of the connection and structure of the individual components according to the principle of the present invention should not be excluded from the scope of the present invention.
Claims (10)
1. The utility model provides a facility vegetables farmland environmental monitoring and standardized production system based on thing networking which characterized in that: the system comprises a facility farmland networking monitoring control device and a monitoring early warning platform; the facility farmland networking monitoring and controlling equipment transmits the environment parameters of the facility farmland monitored in the network and corresponding video files to the monitoring and early warning platform through a 3G network or an Ethernet, and monitors and controls the environment of the facility farmland in real time;
the facility farmland networking monitoring control equipment comprises a main control data acquisition device and a plurality of controlled data acquisition devices, and each main control data acquisition device and a plurality of controlled data acquisition devices are respectively arranged in each greenhouse to be monitored in the field;
the master control data acquisition equipment consists of a communication module, a data acquisition module, a sensor group, a wireless transceiving module, a power supply module and a video module, wherein the power supply module supplies power to the master control data acquisition equipment; the sensor group transmits various acquired environmental parameters to the data acquisition module, and the environmental parameters are processed by the data acquisition module and then transmitted to the communication module; the wireless transceiving module is used for receiving the greenhouse environment parameters and the equipment labels thereof transmitted by the controlled data acquisition equipment and sending all received data information to the communication module; the video module is used for collecting the growth state video information of crops in the greenhouse and sending the collected video information to the communication module; the communication module transmits the received data information and video information to the monitoring and early warning platform through a 3G network or an Ethernet;
each controlled data acquisition device comprises a data acquisition module, a sensor group, a power supply module, a video module and a wireless transmission module, wherein the sensor group transmits various acquired environmental parameters to the wireless transmission module through the data acquisition module; the video module transmits the collected crop growth state video information to the wireless transmitting module; and the wireless transmitting module transmits all the received information and the equipment labels thereof to the wireless transceiving module of the master control data acquisition equipment.
2. The Internet of things-based greenhouse vegetable farmland environment monitoring and standardized production system as claimed in claim 1, wherein: the controlled data acquisition equipment adopts 255 or less.
3. The Internet of things-based greenhouse vegetable farmland environment monitoring and standardized production system as claimed in claim 1 or 2, wherein: the power supply module adopts an external power supply or a solar power supply device.
4. The Internet of things-based greenhouse vegetable farmland environment monitoring and standardized production system as claimed in claim 3, wherein: the solar power supply device comprises a heat collection plate and a storage battery pack, the heat collection plate converts heat energy into electric energy and transmits the electric energy to the storage battery pack, and a heat preservation box is further arranged outside the storage battery pack and controls the temperature of the storage battery pack; a temperature sensor, a controller and a temperature regulator are arranged in the heat insulation box; the temperature sensor transmits the collected working temperature of the storage battery pack into the controller, and the controller controls the temperature regulator to work.
5. The Internet of things-based greenhouse vegetable farmland environment monitoring and standardized production system as claimed in claim 4, wherein: the temperature regulator adopts a temperature rising device or a temperature reducing bottle, or consists of the temperature rising device and the temperature reducing bottle.
6. The Internet of things-based greenhouse vegetable farmland environment monitoring and standardized production system as claimed in claim 1 or 2, wherein: the sensor group comprises a soil humidity sensor, a soil temperature sensor, an air humidity sensor, a carbon dioxide concentration sensor and a sunlight illumination sensor; the soil humidity sensors are arranged in two groups, each group is provided with three soil humidity sensors, and the two groups of sensors are respectively used for measuring the soil humidity of the soil surface layer and the soil humidity of the lower layer; the soil temperature sensor is arranged in one way and is used for measuring the earth surface temperature with large change; the air temperature sensor, the air humidity sensor, the carbon dioxide concentration sensor and the sunlight illumination sensor are all arranged into two paths.
7. The Internet of things-based greenhouse vegetable farmland environment monitoring and standardized production system as claimed in claim 3, wherein: the sensor group comprises a soil humidity sensor, a soil temperature sensor, an air humidity sensor, a carbon dioxide concentration sensor and a sunlight illumination sensor; the soil humidity sensors are arranged in two groups, each group is provided with three soil humidity sensors, and the two groups of sensors are respectively used for measuring the soil humidity of the soil surface layer and the soil humidity of the lower layer; the soil temperature sensor is arranged in one way and is used for measuring the earth surface temperature with large change; the air temperature sensor, the air humidity sensor, the carbon dioxide concentration sensor and the sunlight illumination sensor are all arranged into two paths.
8. The Internet of things-based greenhouse vegetable farmland environment monitoring and standardized production system as claimed in claim 1, 2 or 7, wherein: the monitoring and early warning platform is internally provided with a data processing module, a facility control module and a display screen, the data processing module comprehensively analyzes and processes the equipment labels, the environmental parameters and the video information transmitted to the main control data acquisition equipment and the controlled data acquisition equipment to obtain the environmental parameters in the greenhouses, the environmental parameters are respectively transmitted to the facility control module and the display screen to be displayed in real time, and the facility control module controls the automatic agricultural equipment at the rear end to carry out farm work operation according to the received environmental parameters.
9. The Internet of things-based greenhouse vegetable farmland environment monitoring and standardized production system as claimed in claim 3, wherein: the monitoring and early warning platform is internally provided with a data processing module, a facility control module and a display screen, the data processing module comprehensively analyzes and processes the equipment labels, the environmental parameters and the video information transmitted to the main control data acquisition equipment and the controlled data acquisition equipment to obtain the environmental parameters in the greenhouses, the environmental parameters are respectively transmitted to the facility control module and the display screen to be displayed in real time, and the facility control module controls the automatic agricultural equipment at the rear end to carry out farm work operation according to the received environmental parameters.
10. The Internet of things-based greenhouse vegetable farmland environment monitoring and standardized production system of claim 6, wherein: the monitoring and early warning platform is internally provided with a data processing module, a facility control module and a display screen, the data processing module comprehensively analyzes and processes the equipment labels, the environmental parameters and the video information transmitted to the main control data acquisition equipment and the controlled data acquisition equipment to obtain the environmental parameters in the greenhouses, the environmental parameters are respectively transmitted to the facility control module and the display screen to be displayed in real time, and the facility control module controls the automatic agricultural equipment at the rear end to carry out farm work operation according to the received environmental parameters.
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| CN108153354A (en) * | 2016-12-05 | 2018-06-12 | 防城港市港口区天平电子科技有限公司 | A kind of subdistrict greening manages system and method |
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| CN111427296A (en) * | 2020-04-17 | 2020-07-17 | 天津蓝迪科农业科技有限公司 | Fertilization control system of refined cultivation technology |
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| CN113672633B (en) * | 2021-08-25 | 2024-05-24 | 深圳博沃智慧科技有限公司 | Label management system and method based on environment monitoring data |
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