1 Guiding ideology and construction goals
1.1 Guiding ideology
Guided by the scientific concept of development, firmly grasping the strategic opportunities of the country's development of modern agriculture and implementation of development plans, based on scientific and technological advantages, centered on innovative promotion, green development, cluster layout, industrial chain extension, and internationalization In principle, promote the development of characteristic industries through informatization. Supported by the comprehensive informatization service platform and broadband network coverage in the demonstration zone, and aiming at the integration of urban and rural areas and equal services for smart development, we will promote the construction of "smart"; we will promote the development of smart agriculture from the modern agricultural demonstration area. The construction of "smart agriculture" featuring comprehensive perception, extensive interconnection, technology management and control, in-depth application, and flexible interaction leads to the gradient development of the region's informatization.
Connected Agriculture Internet of Things is a national-level high-tech enterprise specialized in agricultural Internet of Things. It has long been committed to the development of high-quality, high-yield and efficient agriculture with the help of new-generation information technology methods such as Internet of Things, cloud computing and mobile Internet, and builds farmland to table A quality traceability system covering the entire industry chain covering five major areas of production, processing, logistics, sales, and consumption, thereby assisting the government and enterprises in solving China’s food safety and food safety issues, promoting the development of “two highs and one excellent” in agriculture, and realizing agricultural economic benefits, Social and ecological benefits have been greatly improved. We are based on the establishment of a district-level intelligent agricultural comprehensive service platform; three comprehensive application platforms: agricultural product quality and safety traceability platform, to develop e-commerce platforms and Internet of Things application platforms in various places; 9 application subsystems, covering fruit trees in the garden, field ( Various IoT applications such as wheat, corn), fresh vegetables, livestock, poultry, seedlings, and biogas.
1.2 Construction goals
(1) Constructing demonstration projects of agricultural informatization.
(2) Construct the informatization construction project of modern agricultural demonstration zone.
(3) Establish modern agricultural information resources and service platforms.
1.3 Construction content
(1) Traceability system of agricultural products. Adopt advanced technologies such as QR code, RFID, and Internet of Things, with "product traceability" as the main line, to trace the agricultural products of farmers' professional cooperatives and agricultural enterprises in the demonstration area.
(2) E-commerce platform for agricultural enterprises. Relying on the comprehensive service platform of the demonstration zone to build an e-commerce platform for agricultural enterprises. Provide a safe and reliable online trading platform, information release platform, and supply-demand platform for agricultural enterprises. Focus on the establishment of a production and sales docking system focusing on the trading of bulk fresh agricultural products.
(3) The integration and application project of accurate acquisition of farmland information from multiple remote sensing platforms in arid areas. Including cultivated land quality monitoring data acquisition integrated rapid spatial information analysis and service system, multi-scale crop yield monitoring and forecasting system, UAV remote sensing information processing and monitoring integrated system, real-time service and precision operation integration system, etc.
2 Overall architecture
2.1 Overall framework
2.2 Technical architecture
3 Application system
-
3.1 Application system architecture
-
3.2 Platform planning
There are three main application platforms under Smart Agriculture, consisting of 10 subsystems.
4.2.1 Command decision platform
-
4.2.1.1 Platform Overview
Command decision platform
The overall layout of the agricultural command and decision-making platform is three levels of command and decision-making, platform support, and production services. It provides information services to the government and enterprises. It has functions such as video surveillance, environmental monitoring, statistical analysis, remote sensing data acquisition and analysis, automatic early warning, and remote control. , Through the large LED LCD display, it provides the government with decision-making basis, provides management methods for enterprises, realizes refined agricultural production, improves the level of agricultural informatization, provides strong support for government supervision, and provides reliable guarantee for standardized agricultural management. Farmers increase production and income.
4.2.1.2 Platform functions
The function of the agricultural command and decision-making platform is to display real-time monitoring field data and images through the large-screen display system and mobile terminal application software, and to manually or automatically remotely control the field equipment in a variety of ways and channels, intelligent reports and decision analysis systems, interactive Agricultural technology training and expert remote diagnosis system, through remote sensing to obtain cultivated land quality monitoring data and UAV remote sensing information.
Make full use of and integrate various agricultural information resources to provide comprehensive services for relevant functional departments' decision-making, enterprise operation and management, grassroots agricultural scientific and technical personnel, and agricultural production and operation entities. Mainly include the following functions:
1. Introduce the situation of agricultural resources, main features, etc., through texts, pictures, spatial geographic maps, videos and other forms of display.
2. Establish a video monitoring and command platform to conduct real-time video monitoring of agricultural production and overall control. The video monitoring platform completes the unified management and scheduling of video services.
3. Provide remote expert diagnosis service, and realize the remote intercom function for problems that occur in the production process.
4. Generate environmental monitoring reports based on data collected by various application systems and remote sensing data, predict crop growth trends, and provide disaster warnings.
5. Provide remote control function, through manual or automatic remote control of on-site equipment switches, timely adjustment of the production environment, reduce workload and improve efficiency.
6. Provide agricultural technology training services, realize real-time two-way online agricultural technology professional training and answer questions, agricultural technology consulting services, carry out production guidance, and diagnose diseases and insect pests.
7. Combining remote sensing and GIS systems to realize farmland quality monitoring, spatial information analysis, multi-scale crop yield monitoring and forecasting, UAV remote sensing information processing and monitoring, precision operations and other data services, providing support for government decision-making support.
8. It can provide unified and coordinated data functions by connecting to systems such as meteorological disaster early warning and animal and plant epidemics.
Simulation diagram of agricultural production command and dispatch application
4.2.2 Traceability platform for agricultural product quality and safety
-
4.2.2.1 Platform overview
The agricultural product and food quality and safety traceability system has main functions including basic information management, information collection in each link, link correlation, and traceability information query functions. By entering the traceability barcode of an agricultural product, you can view the comprehensive traceability information of the agricultural product from production to harvesting, processing, warehousing, logistics, and sales.
4.2.2.2 Platform functions
Taking vegetables as an example, if you enter the traceability code label of a green pepper, you can query the entire traceability information of the green pepper, as shown in the figure:
(Figure query window)
(Figure product introduction)
(Picture storage information)
4.2.3 E-commerce platform
-
4.2.3.1 Platform overview
Platform business framework
The B2B e-commerce trading platform is a professional service for agricultural enterprises (economic entities), agricultural materials enterprises, agricultural cooperatives, large growers, farmers, agricultural products circulation enterprises, agricultural batch markets, supermarkets, e-commerce, and consumers to provide online exhibitions and sales of agricultural products of park enterprises , Free trading and group purchase of agricultural materials and agricultural products electronic trading platform. Through this trading platform, agricultural material companies can release information on the supply of agricultural material products, and agricultural cooperatives, large growers, farmers, and agricultural production companies can release information on the supply of agricultural products and agricultural products.
The B2B e-commerce trading platform combines the Internet of Things technology to face the whole country, with the goal of accelerating the circulation of agricultural information, improving agricultural benefits, and promoting the construction of agricultural industrialization. It combines technology, culture and economy to build a new service model for agriculture, rural areas and rural areas. Process.
The B2B e-commerce trading platform provides channels for companies and individuals to publish and obtain information on the supply and demand of various agricultural products, agricultural science and technology knowledge, and online agricultural products transactions, and effectively prevent counterfeit and inferior agricultural products from entering the market.
4.2.3.2 Platform functions
B2B e-commerce trading platform, after all agricultural products enterprises register as members, they can release products, supply and demand information, cooperation and transfer information for free. After the company is successfully registered, under certain conditions, it can open a store online, and at the same time can directly purchase fresh agricultural products online. Complete the selection of agricultural product purchase, order placement, online payment, logistics distribution, and at the same time you can view the quality traceability information of the purchased agricultural products. Through the Internet of Things equipment, the planting link, processing link, logistics link, inspection link, sales link, etc. of the product are made transparent one by one, so that customers can purchase and use with peace of mind.
4.3 Application system planning
-
4.3.1 Agricultural products and food quality and safety traceability system
-
4.3.1.1 System Overview
The product quality traceability system is actually a powerful electronic information recording and management system. Using RFID technology, electronic tags, handheld terminals and card readers are used to achieve the organic combination of all links, focusing on the production and marketing integration of production and circulation links, targeting each link Perform monitoring. Through the means of informatization and comprehensive recording, the specific basic data content of each link is collected, through effective data modeling ideas and tools, and modern scientific and technological methods are used for reference, relying on the Internet to realize the construction of a set that meets social and business needs, and Standardized, automated, and simple product traceability system.
The product traceability system connects the key links of the production and circulation of food and agricultural products such as base, processing, packaging, inspection, and sales, and records relevant data of each link, and uploads it to the data center for storage through the data communication network. The product traceability system mainly has the following functions:
Realize the traceability of the whole product process, improve product safety and market competitiveness;
Once the product has quality and safety problems, the cause can be found in time, and the problematic product can be recalled in a targeted manner to minimize the loss;
It is helpful to improve the quality management system, improve product quality and management level; meet foreign traceability requirements for imported products, cross trade barriers, and promote product exports; help increase consumer trust in enterprises and establish a good social image.
4.3.1.2 Traceability system
Traceability system for aquaculture products
-
-
-
- Features
-
-
The traceability system is mainly divided into three types of users. We provide different system interfaces for different users, enabling different users to complete different functions.
System administrator: The following tasks can be done through the system management interface:
Product category management: divide all products into vegetables, fruits, aquatic products, poultry, livestock, etc., product category management, mainly complete the addition, deletion, modification and query of this category.
Product variety management: product categories, such as tomatoes, cucumbers, peppers, etc. under vegetables, product variety management is mainly to complete the addition, deletion, and modification of this category
Enterprise category management: Enterprises can be divided into planting enterprises, processing enterprises and breeding enterprises according to their respective industries. Enterprise category management mainly completes the addition, deletion, and modification of this category.
Enterprise management: The system administrator can manage all the enterprises in the system through this function, including editing and modifying enterprise information, and assigning traceability chains for the products of the enterprise.
Link template management and traceability chain management: Establish different traceability links and traceability chains for different types of traceability to meet consumers' requirements for traceability information.
Business users
Enterprise basic information maintenance: mainly the enterprise maintains some basic information, contact information, introduction and other information of itself.
Product management: Enterprises can add, modify and query products through this function.
Product traceability information management: The enterprise manages the traceability information of specific products through this function. normal consumer
Ordinary consumers purchase products with traceability codes, enter the traceability code at the query terminal, and query the traceability information of the purchased products.
-
-
-
- System Overview
-
-
Through the innovative integration of network communication, microelectronics, sensors and other technologies, a monitoring and dispatching platform for the “four emotions” of bulk crops based on the Internet of Things can be built, which can target the farmland environment (including air humidity and temperature, soil humidity), photosynthetic effective radiation, and wind speed , Wind direction, rainfall, images, videos, etc. to carry out real-time monitoring, and real-time wireless remote transmission to the information monitoring center, for the growth process of crops, as well as disaster prevention and management, analysis of "four emotions", technical guidance and decision-making management to provide timely , Reliable and scientific basis. While using the instrument to detect the "four emotions" at the same time, each detection point will simultaneously carry out the "four emotions" manual detection, collect relevant data, classify the collected information, and complement the instrument detection results, establish a farmland environmental index system and "four emotions" classification standards, and further Improve the platform, and gradually realize the automatic detection, dynamic visualization, scientific field management of the "four emotions", and improve the level of decision-making management and service.
The application architecture of the wheat (corn) "four emotions" monitoring and dispatching system, as shown in the figure:
Wheat (corn) "four emotions" application framework
Information Collection
Responsible for "four emotions" information and remotely transmit it to the information management system through wireless or wired in real time, store and manage it after conversion processing. "Four emotions" information mainly includes various environmental information such as: air temperature and humidity, soil temperature and humidity, solar radiation, wind speed and direction, rainfall, etc. Image information, video information, seedling-related microbial (spore) information, and seedling information are composed of information about the seedlings themselves. The collection of environmental information is done by small weather stations and soil sensors, while the collection of image information and video information adopts diversified methods. , Including fixed camera capture, mobile devices including mobile phones, PDAs, tablets, notebooks, etc., after these devices complete image and video capture, they can upload the collected information through 3G, WIFI, or other wireless networks or INTERNET.
There are two main ways of data collection,
One is automatic collection, that is, instrument collection. Divided into fixed and mobile.
The second is manual field collection, such as crop growth dynamics and regular manual analysis of soil moisture. Upload to the back-end information management system through the system platform.
Agricultural conditions monitoring
According to various monitoring equipment installed on site, such as cameras, small weather stations, etc., real-time monitoring of the occurrence and development of disasters, temperature, precipitation and other meteorological conditions on site, so as to grasp the trend of disaster changes in time. Solve the problem of not being able to arrive immediately after the disaster occurs. In addition, through the implementation of monitoring, the disaster situation can be monitored in the first time, and the relevant departments can be notified to pay attention to the changes in the disaster situation through mobile phone text messages, telephone calls, computers and other channels.
Tada monitoring
Picture monitoring
Agricultural conditions analysis
Combining the real-time monitoring station data, weather forecast information, group monitoring and prevention information of the monitoring database, geographic maps, geological maps, disaster history records and other information of the meteorological disaster database and information database, according to the analysis and forecast models and indicators, the collected data Statistical analysis, and output analysis results (text, table or graph).
Statistical Analysis
Evaluation Analysis
Agricultural Information Sheet
With automatic production moisture monitoring report function, users can compile monitoring reports based on system evaluation information, and realize all users' inquiries on monitoring reports.
The refined planting management system of facility vegetables is mainly composed of modules such as data collection, real-time data display, alarm prompt and data summary. The system collects data such as temperature, humidity, light intensity, and sunshine number of the air and soil in the greenhouse through sensors, and transmits it to the data processing system through a wired or wireless network, and stores and displays the data. When a threshold alarm occurs in the data, it can automatically control related equipment to perform intelligent adjustment or send an alarm message.
For facility vegetable cultivation in greenhouses, the software platform architecture is mainly divided into environmental data collection and analysis, greenhouse automation system control, and remote video monitoring. The facility vegetable cultivation platform architecture is as follows:
Business process of refined vegetable planting
The fine planting application system of facility vegetables collects and analyzes the corresponding environmental parameters in the vegetable greenhouse in real time through wireless sensors such as light intensity, air temperature and humidity, soil temperature and humidity, and sunshine number. According to the environmental information and analysis results outside the greenhouse, the designated equipment (such as remote control of drip irrigation, opening and closing of roller shutters, etc.) is automatically turned on or off. At the same time, monitoring equipment such as cameras are arranged on the vegetable shed to collect video signals in time. Users can observe on-site conditions, check on-site temperature and humidity data, and intelligently adjust remote automation equipment through computers or 3G mobile phones anytime and anywhere.
Planting environment data collection
Growth environment parameters such as soil temperature and humidity, air temperature and humidity, and light intensity have important effects on the growth of vegetables. Traditional planting methods cannot perform real-time monitoring and quantitative and qualitative analysis of these growth environment parameters. Use sensors to collect data in real time, and transmit the collected data through the network to realize real-time monitoring of soil temperature and humidity, environmental temperature and humidity, light and other growth environment parameters, and effectively store the data in the historical database for the growth environment parameters for vegetable planting Provide basis for quantitative and qualitative analysis of impact.
Temperature data collection
Temperature data collection is divided into: air temperature, soil temperature, vegetable growth requires a suitable temperature, too high or too low temperature may cause vegetable death. Average daily temperature, monthly average temperature and annual average temperature commonly used in agriculture
Average temperature to assess whether the temperature environment required for vegetable growth is good. The temperature data collection function is to provide reliable data parameters for temperature environment assessment.
Humidity data collection
The collection of humidity data is divided into: air humidity, soil humidity, vegetable planting must be grown in a suitable humidity environment, so suitable humidity is also indispensable for vegetables. The humidity data collection function in the vegetable greenhouse is to collect the humidity data inside the greenhouse in real time to ensure the healthy growth of vegetables.
Light intensity monitoring
Illumination is a necessary factor for the growth of vegetables for photosynthesis and synthesis of sugar. The distribution of light intensity in a day directly affects the growth of vegetables. The light sensor is used to monitor the light intensity to understand the influence of light on vegetables in different time periods.
Video environment monitoring
By installing a surveillance camera on the top of the greenhouse, the camera captures the picture inside the greenhouse in real time, and then transmits the picture data to the video processing equipment through the network and stores it. Users can not only see the real-time picture inside the vegetable greenhouse on the PC LCD display, but also watch the real-time picture inside the greenhouse through remote access via 3G mobile phones. That is, it can help production managers to remotely understand the growth of vegetables in the greenhouse, and it can also help agricultural experts understand the growth of vegetables through remote monitoring screens, and solve problems in planting diseases.
Choose a suitable location to install the dome camera in the greenhouse. The dome camera can rotate in all directions to ensure that any corner in the greenhouse is within the visual range of the camera. The image is transmitted via wireless network or video cable. The system uses a high-precision network. The camera, system's definition and stability and other parameters are in line with the relevant domestic standards.
A network video server is deployed in the workplace, and the network video server processes the video information in a timely manner, and uploads it to the computer room control center to display real-time pictures of vegetable growth in the shed. It can also store historical data for easy access at any time.
Threshold alarm
When the monitored point data is abnormal, it can automatically send out an alarm signal, and can set the temperature and humidity alarm threshold of each monitoring point. Alarm methods include: software system alarm, mobile phone SMS alarm. The system can upload alarm information, and the system can notify the staff on duty in time.
Software system alarm: Vegetables have certain range requirements for growth parameters such as soil temperature and humidity, crop growth nutrients. The upper and lower thresholds of the parameters can be set through the system. When the environmental parameters exceed the preset range, the system will give an alarm. The system allows the user to define a custom data range, and error conditions outside the range will be marked in the system to achieve the purpose of alarming. The alarm can be realized through platform pop-up window, mobile phone query, etc. The system allows users to define a custom data range, and error conditions beyond the range will be marked in the system to achieve the purpose of alarming.
Mobile phone SMS alarm: When there are high temperature, low temperature and other alarms that exceed the threshold setting in the greenhouse, the mobile phone SMS alarm system will quickly send the alarm message to the staff, realizing the real meaning of the greenhouse "automatic control, unattended, emergency alarm, The control principle of “someone intervention”.
equipment control
Intelligent greenhouse IoT remote device control implements fuzzy calculation and multi-period target value control theory for device control: the system has independent target temperature, target humidity, target wind speed, target wind direction settings for multiple time periods every day, and adjacent target values Soft transition prevents damage to crops caused by sudden changes in environmental parameters.
And through this system, the current operating status of all automation equipment can be viewed, and remote automation control and management can be carried out. Click the system button and operate the mouse to realize the remote automatic control of the planting equipment, such as turning on the fan to ventilate and cool down, and turning on the sunshade inside the roller blind.
data query
You can view the real-time planting data information of the greenhouse, including the greenhouse number, vegetable varieties, air temperature and humidity, light intensity, soil temperature and humidity, and sunshine. You can query and filter the data by selecting the name of the greenhouse and the variety of vegetables.
Planting analysis
Regarding the environmental data of vegetable greenhouses, the Internet of Things will intelligently analyze these data, store and process the collected data, and provide users with analysis and decision-making basis. Users can inquire through computers and mobile phones anytime and anywhere.
Remote expert diagnosis
Through the remote expert system, you can view the vegetable planting environment data and video image information of the facility greenhouse. After the expert's remote diagnosis and analysis, they can guide the environmental adjustment of vegetable production, and diagnose the growth of vegetables and the situation of diseases and insect pests through video images and provide production Suggest.
Statistics summary
Data summary mainly stores the data collected by the data acquisition module in the data center according to the set frequency to provide a basis for subsequent quantitative and qualitative analysis. Provide historical data statistical analysis and other report services through the real-time data summary module.
Summary statistics provide convenience for users to obtain relevant parameters through environmental information. Through remote access by computer or mobile phone, users can set and complete the parameters (temperature, humidity) to be automatically controlled, and instantly understand the vegetable greenhouse. The production control situation of the greenhouse is displayed, recorded and stored in real time in various ways such as digital, graph and image. The system can continuously collect and record the temperature, humidity, light intensity, sunshine number and other items in the greenhouse in real time online for 24 hours. Parameter situation.
Real-time display and recording of temperature and humidity values and curve changes of each monitoring point, statistics of historical data, maximum, minimum and average values of temperature and humidity data, cumulative data, alarm screen, users can print temperature and humidity data for a specified period of time and Run the report.
Poultry refined breeding management application system, using modern information technology to accurately grasp the poultry growth process and growth dynamics, dynamic monitoring and trend analysis of poultry growth dynamics and the growth of poultry at various growth stages, and poultry breeding, house management and epidemic prevention Carry out fast and efficient remote guidance, improve the ability of fine breeding and house management, discover problems in breeding in time, formulate technical countermeasures for poultry breeding and house management, put forward poultry breeding and house management opinions or suggestions, and better carry out Technical guidance to promote increased production of poultry.
The equipment is deployed in the breeding shed. The equipment functions mainly include:
Architecture diagram of livestock and poultry refined breeding application system
Remarks: Automatic control and sensing equipment is subject to the actual purchase of the monitoring point. If there is a problem with the automatic control and sensing equipment at the monitoring point or does not meet the conditions of the automatic control, the control of the automatic control and sensing equipment may not be achieve.
Pay attention to my technical public account, every working day has high-quality technical article push and electronic version plan download.
Scan the QR code below on WeChat to follow:
