Abstract: In order to improve the utilization rate of irrigation water and alleviate the contradiction of increasingly tense water resources, this water-saving irrigation control system was developed by adopting an architecture combining a wireless sensor network based on ZigBee technology and a GPRS network, designing wireless nodes based on the CC2530 chip. The system uses a single-chip microcomputer as the control core and consists of four parts: wireless sensor nodes, wireless routing nodes, wireless gateways, and a monitoring center. It can monitor soil temperature and humidity changes in real time and implement precise irrigation according to soil moisture conditions and crop water use patterns. The system realizes the automated control of water-saving irrigation, which helps to improve the utilization rate of agricultural irrigation water and the generally low level of automation in irrigation systems.
Keywords: ZigBee; wireless sensor; water-saving irrigation; soil moisture monitoring
Agricultural irrigation is a major water user in my country, accounting for about 70% of the total water consumption. According to statistics, the average annual area of grain affected by drought in my country is 20 million hectares, and the loss of grain accounts for 50% of the national grain production reduction due to disasters. For a long time, due to the backward technology and management level, the waste of irrigation water is very serious, and the utilization rate of agricultural irrigation water is only 40%. If the irrigation timing and water volume are controlled in real time based on the monitoring of soil moisture information, the water use efficiency can be effectively improved. However, manual regular measurement of soil moisture not only consumes a lot of manpower, but also cannot achieve real-time monitoring; the use of wired measurement and control systems requires high wiring costs, is not easy to expand, and brings inconvenience to farmland cultivation. Therefore, a water-saving irrigation control system based on wireless sensor networks is designed. The system is mainly composed of low-power wireless sensor network nodes through ZigBee self-organizing networking, thus avoiding the inconvenience of wiring and the disadvantages of poor flexibility, and realizing continuous online monitoring of soil moisture and automatic control of farmland water-saving irrigation. It not only improves the utilization rate of irrigation water and alleviates the contradiction of increasingly tight water resources in my country, but also provides a good growth environment for crop growth.
1 System Architecture
1.1 Wireless Sensor Network
Wireless sensor network technology is applied in this water-saving irrigation control system, and its core technology is ZigBee self-organizing network technology. ZigBee is a two-way wireless communication technology with low complexity, low power consumption, low data rate, low cost, high reliability and large network capacity. It consists of application layer, network layer, medium access control layer and physical layer. The devices in the ZigBee network are divided into two types: full function device (FFD) and reduced function device (RFD). ZigBee network supports three topological structures: star network, tree network and mesh network. This system adopts a hybrid network, with multiple ZigBee monitoring networks at the bottom layer, responsible for the collection of monitoring data. Each ZigBee monitoring network has a gateway node and several soil temperature and humidity data collection nodes. The monitoring network adopts a star structure, and the gateway node serves as the base station of each monitoring network. The gateway node has dual functions. One is to act as a network coordinator, responsible for the automatic establishment and maintenance of the network and data collection; the other is to serve as the interface between the monitoring network and the monitoring center, and transmit information to the monitoring center. This system has the function of automatic networking. The wireless gateway is always in a listening state. The newly added wireless sensor node will be automatically discovered by the network. At this time, the wireless router will send the node information to the wireless gateway, and the wireless gateway will address and calculate its routing information, update the data forwarding table and the device association table, etc.
1.2 System Architecture
The system is controlled by a single-chip microcomputer and consists of four parts: wireless sensor node (RFD), wireless routing node (FFD), wireless gateway (FFD), and monitoring center. Through the ZigBee self-organizing network, the monitoring center and the wireless gateway transmit soil moisture and control information through GPRS. Each sensor node automatically collects soil moisture information through a temperature and humidity sensor, and analyzes it in combination with the preset upper and lower limits of humidity to determine whether irrigation is needed and when to stop. Each node is powered by a solar cell, and the battery voltage is monitored at any time. Once the voltage is too low, the node will send an alarm signal of low voltage. After the signal is sent successfully, the node enters a sleep state until the power is sufficient. Among them, the wireless gateway connects the ZigBee wireless network and the GPRS network. It is the core part of the water-saving irrigation control system based on the wireless sensor network and is responsible for the management of wireless sensor nodes. The sensor nodes and routing nodes autonomously form a multi-hop network. The temperature and humidity sensors are distributed in the monitoring area and send the collected data to the nearest wireless routing node. The routing node selects the best route according to the routing algorithm and establishes a corresponding routing list, which includes its own information and the information of the neighboring gateway. The data is transmitted to the remote monitoring center through the gateway, which is convenient for users to remotely monitor and manage. The block diagram of the water-saving irrigation control system based on wireless sensor network designed in this paper is shown in Figure 1.
2 Hardware Design
2.1 Sensor Node Module
Soil moisture is a key limiting factor for crop growth. Accurate collection of soil moisture information is the basis and guarantee for water-saving irrigation and optimal regulation of farmland, and plays a key role in the effective implementation of water-saving technology. The hardware structure of the sensor node of this system is shown in Figure 2.
The system uses TDR-3A soil temperature and humidity sensor, which integrates temperature and humidity measurement. It is sealed, waterproof and has high precision. It is an ideal instrument for measuring soil temperature and humidity. The temperature range is -40~+80℃, with an accuracy of ±0.2℃; the humidity range is 0~100%, with an accuracy of ±2% in the range of 0~50%. The output signal of the temperature and humidity sensor is a standard current loop of 4~20 mA. It is first converted into I/U in the main controller circuit, and then converted into a digital signal by A/D and transmitted through the radio frequency antenna. The current converter uses the RCV420JP chip, which integrates a resistor network, an operational amplifier and a standard 10 V reference voltage source, and can convert the 4~20 mA current loop into a 0~5 V voltage output.
The signal conditioning circuit is shown in Figure 3. The A/D converter uses the ADC converter inside the low-power RF integrated circuit CC2530, which has a sampling frequency of 12 bits and an 8-channel multiplexer inside. It can latch the decoded signal according to the address code and select only one of the 8 analog input signals for A/D conversion.
2.2 Wireless communication module
The communication system of the water-saving irrigation control system based on wireless sensor network is based on ZigBee wireless communication technology and GPRS. ZigBee is a highly reliable wireless data transmission network with three working frequency bands: 2.4 GHz (global), 915 MHz (USA) and 868 MHz (Europe). This system uses the global universal frequency band 2.4 GHz, which is currently the preferred choice for sensor networks. The transmission rate is 250 KB/s. This frequency band does not require a license in most countries. The communication modules
of wireless sensor nodes (RFD), wireless routing nodes (FFD) and wireless gateways (FFD) all use CC2530 chips, and there is also a certain consistency in structure. Here we only introduce the hardware structure of the wireless gateway in detail. The gateway is responsible for the control and management of the wireless sensor network and realizes the fusion processing of information. It connects the sensor network and the GPRS network to realize the conversion of the two communication protocols. At the same time, it publishes the tasks of the monitoring terminal and transmits the collected data to the remote monitoring center through the GPRS network. The structural block diagram is shown in Figure 4.
The gateway uses Huawei's GPRS communication module GTM900C and TI's ZigBee RF chip module CC2530. The GTM900C GPRS module supports GSM900/1800 dual-band, provides power interface, analog audio interface, standard SIM card interface and UART interface, and supports voice service, short message service, GPRS data service and circuit data service. CC2530 is a new generation of ZigBee SoC chip with up to 256 B flash memory, allowing wireless chip download, supporting system programming, providing 101 dB link quality, excellent receiver sensitivity and robust anti-interference. In addition, CC2530 combines a fully integrated, high-performance RF transceiver with an 8051 microprocessor, 8 KB RAM, 32/64/128/256 KB flash memory, and a wide range of peripherals - including 2 USARTs, 12-bit ADC and 21 general-purpose GPIOs (General Purpose Input Output). The PC software of the remote monitoring center uses Delphi to design the management interface and establish the corresponding database to realize the query, management, and printing of soil moisture conditions, as well as the transmission of control commands and soil temperature and humidity information through the GPRS network.
3 Software Design
In this water-saving irrigation control system, monitoring data and control commands are transmitted between wireless sensor nodes, wireless routing nodes, wireless gateways and monitoring centers. The sensor node turns on the power, initializes, establishes a link and then enters a dormant state. When the wireless gateway receives an interrupt request, it triggers an interrupt, activates the sensor node through the routing node, sends or receives information packets, and continues to enter a dormant state after processing, waiting to be activated again when there is a request. Only two nodes can communicate in the same channel, and the channel is acquired through a competition mechanism. Each node sleeps and monitors the channel periodically. If the channel is idle, it actively seizes the channel. If the channel is busy, it backs off for a period of time according to the backoff algorithm and then listens to the channel status again. In the program design, the main method of collecting interrupts is to complete the reception and transmission of information.
4 Conclusion
The water-saving irrigation control system based on wireless sensor network designed in this paper uses low-cost and low-power ZigBee wireless communication technology to avoid the inconvenience of wiring and improve the flexibility of the water-saving irrigation control system. The system uses high-precision soil temperature and humidity sensors to implement precise irrigation according to soil moisture and crop water use rules. It can not only effectively solve the problem of low utilization rate of agricultural irrigation water and alleviate the contradiction of increasingly tense water resources, but also provide a better growth environment for crops, give full play to the role of existing water-saving equipment, optimize scheduling, improve efficiency, make irrigation more scientific and convenient, and improve management level. This system also supports manual modification and remote control of relevant parameters. It is suitable for a variety of crops, can increase the yield of crops, reduce the irrigation cost of agricultural products, and improve the quality of irrigation. It has great promotion value. In addition, with different sensors, the system can form a monitoring network with different functions.
Previous article:I Series LSE Application Working Principle
Next article:A Sensitive Data Communication Protocol for Wireless Sensor Networks Based on Digital Watermarking
- Popular Resources
- Popular amplifiers
- Molex leverages SAP solutions to drive smart supply chain collaboration
- Pickering Launches New Future-Proof PXIe Single-Slot Controller for High-Performance Test and Measurement Applications
- CGD and Qorvo to jointly revolutionize motor control solutions
- Advanced gameplay, Harting takes your PCB board connection to a new level!
- Nidec Intelligent Motion is the first to launch an electric clutch ECU for two-wheeled vehicles
- Bosch and Tsinghua University renew cooperation agreement on artificial intelligence research to jointly promote the development of artificial intelligence in the industrial field
- GigaDevice unveils new MCU products, deeply unlocking industrial application scenarios with diversified products and solutions
- Advantech: Investing in Edge AI Innovation to Drive an Intelligent Future
- CGD and QORVO will revolutionize motor control solutions
- Innolux's intelligent steer-by-wire solution makes cars smarter and safer
- 8051 MCU - Parity Check
- How to efficiently balance the sensitivity of tactile sensing interfaces
- What should I do if the servo motor shakes? What causes the servo motor to shake quickly?
- 【Brushless Motor】Analysis of three-phase BLDC motor and sharing of two popular development boards
- Midea Industrial Technology's subsidiaries Clou Electronics and Hekang New Energy jointly appeared at the Munich Battery Energy Storage Exhibition and Solar Energy Exhibition
- Guoxin Sichen | Application of ferroelectric memory PB85RS2MC in power battery management, with a capacity of 2M
- Analysis of common faults of frequency converter
- In a head-on competition with Qualcomm, what kind of cockpit products has Intel come up with?
- Dalian Rongke's all-vanadium liquid flow battery energy storage equipment industrialization project has entered the sprint stage before production
- Allegro MicroSystems Introduces Advanced Magnetic and Inductive Position Sensing Solutions at Electronica 2024
- Car key in the left hand, liveness detection radar in the right hand, UWB is imperative for cars!
- After a decade of rapid development, domestic CIS has entered the market
- Aegis Dagger Battery + Thor EM-i Super Hybrid, Geely New Energy has thrown out two "king bombs"
- A brief discussion on functional safety - fault, error, and failure
- In the smart car 2.0 cycle, these core industry chains are facing major opportunities!
- The United States and Japan are developing new batteries. CATL faces challenges? How should China's new energy battery industry respond?
- Murata launches high-precision 6-axis inertial sensor for automobiles
- Ford patents pre-charge alarm to help save costs and respond to emergencies
- New real-time microcontroller system from Texas Instruments enables smarter processing in automotive and industrial applications
- [Xianji HPM6750EVKMINI Review] 2#OLED module and LVGL routine test
- STM32G071 driver for HDC1080
- Fudan Micro FM33LC046N Review + Serial Communication
- EEWORLD University Hall----Live playback: Introduction to the industrial open source platform based on TI Sitara?AM5708
- The United States is suppressing China's top companies because it is afraid that the Chinese are "too smart"?
- Summary of 17 tips on embedded C programming
- [Anxinke UWB indoor positioning module NodeMCU-BU01] 05. Transplantation preparation: ranging function code analysis
- What does a 5G base station look like? What is the difference between it and a 4G base station?
- A low-power, wireless sensor network design
- [TI millimeter wave radar evaluation]_6_AWR1843BOOST UART output data analysis 1