CN203537985U - System for green environment monitoring, crop diseases diagnosing and applying pesticides to control according to conditions based on wireless sensor network - Google Patents

Abstract

The utility model relates to a greenhouse environment monitoring and condition-based pesticide irrigation system based on a wireless sensor network, comprising an acoustic emission sensor, an acoustic emission acquisition board, a host computer, a wireless sensor network, an environmental factor sensor, a relay and an actuator. An acoustic emission sensor is installed on the main diameter of the crop plant, the emission sensor is connected to the acoustic emission acquisition board, the acoustic emission acquisition board is input to the host computer through the PCI bus, and the host computer is bidirectionally connected to the wireless sensor network, and the wireless sensor network receives environmental factors The signal of the sensor, at the same time, the signal processed by the host computer controls the relay and the actuator. According to the acoustic emission signal and environmental parameter change signal issued by crops under the stress of disease, the utility model implements intelligent and precise sprinkling irrigation according to the situation, and sets and properly adjusts the drug supply efficiency and time of crops by computer software, which not only achieves the goal of crop growth and disease The purpose of prevention and control, and effectively ensure that crops can grow under the best soil moisture conditions.

Description

Greenhouse environment monitoring and crop disease diagnosis and situation-based pesticide control system based on wireless sensor network

technical field

The utility model belongs to the field of agricultural biotechnology, and relates to the monitoring and spraying irrigation of greenhouse crops, in particular to a wireless sensor network-based greenhouse environment monitoring and disease diagnosis and spraying control system.

Background technique

Agriculture is the foundation of the national economy, and the informatization and intelligence of agriculture is an important means to use modern information technology to improve agricultural labor productivity. The various environments in which crops grow, such as temperature, light and carbon dioxide concentration, have a great impact on the yield and quality of agricultural products. In order to better understand the impact of environmental factors on crop growth, corresponding environmental monitoring of crops can be carried out to obtain environmental parameters that are relatively suitable for crop growth, and measures should be taken to ensure that crops grow in a good environment when conditions permit.

The reason why greenhouse cultivation has attracted people's attention is that the computer is used to automatically control the environmental conditions of plant growth such as temperature, humidity, light, and CO concentration, so that the growth of plants in the greenhouse is not restricted by the natural climate, so as to achieve annual growth. Management and production extend the planting time of crops, so as to achieve the purpose of improving product yield and quality. In the production and management of greenhouses, the environment has an extremely important impact on the growth and development of crops, the implementation of cultivation techniques, and the prevention of pests and diseases.

Data acquisition is an important part of environmental monitoring, but for a long time, greenhouse environmental monitoring has generally adopted manual methods. This traditional data acquisition method is time-consuming, labor-intensive, poor in timeliness, and susceptible to interference. Wireless sensor network technology and virtual instrument technology It provides an ideal solution for automatic data collection and real-time monitoring. Use ZigBee technology to build a wireless sensor network, use a large number of sensor nodes to form a monitoring network, and collect information through various environmental sensors to help farmers find problems in a timely manner and accurately determine the location of the problem, so that agriculture will be gradually reduced. The production mode centered on manpower and relying on isolated machinery has shifted to the production mode centered on information and software, so that various automated, intelligent, and remote-controlled production equipment are widely used. Therefore, the application of wireless sensor networks in the fields of agriculture and environmental monitoring can bring huge social and economic benefits.

my country is a large agricultural country, and crop diseases are not only of various types and widely distributed, but also have complex disaster conditions. According to records, there are 2,284 kinds of agricultural diseases, insects, weeds, and rodents in my country, of which 742 are diseases. Every year, 16 million tons of grain, 300,000 tons of vegetables, and more than 1.4 million tons of oil are lost due to biological disasters such as diseases and insects. This directly affects the sustainable and stable development of agriculture and the growth of rural economy.

At present, the greenhouse planting and disease prevention work in my country mainly has the following problems:

1. The variety has poor resistance. At present, the main goal of greenhouse breeding in my country is high yield and high quality, and insufficient attention is paid to the disease resistance of varieties, which has a great blindness to the development of planting industry, resulting in generally poor disease resistance of crop varieties in production. Except for a few diseases that can be effectively controlled by using disease-resistant varieties, most diseases must be controlled by other means.

2. The forecasting work is relatively backward. Many growers do not pay attention to disease prevention, relying solely on chemical control, focusing on treatment and ignoring prevention.

3. Many farmers do not understand the nature of pesticides. When crops are plagued by diseases and insect pests, regardless of whether it is an insecticide or a fungicide, no matter whether it is a disease or a pest, they will use the medicine as soon as they are seen, which will greatly reduce the efficiency of pest control and seriously affect the health of the crops. Yield and quality cause great economic losses to farmers.

4. Long-term single use of a certain pesticide. Some farmers found that a certain pesticide was effective, so they used it for a long time. As a result, with the increase of the dosage, the resistance of the disease continued to increase.

5. Blindly use highly toxic and high residue pesticides, without paying attention to the safe interval of pesticides. Because farmers do not follow pesticide safety standards when using pesticides, they use highly toxic and high-residue pesticides on agricultural products, seriously endangering people's health.

Among the many factors that affect the quality of fresh agricultural products such as vegetables and fruits, the most prominent is the problem of excessive pesticide residues. Food poisoning incidents of agricultural products caused by excessive pesticide residues broke out in many places across the country. The reason for this phenomenon is that there has always been excessive fertilization and pesticide application in agricultural production, and the amount of pesticide used per unit area of agriculture is twice the world average. As consumers have higher and higher requirements for food safety, precise pesticide spraying on crops, that is, where there are diseases and where to apply pesticides, so as to avoid excessive application of pesticides on non-disease parts, has become an increasingly important aspect of crop pest control. Urgent request.

Practice has shown that rational application of pesticides is an important measure to ensure a good harvest in agriculture, and the premise of rational application of pesticides is to correctly diagnose the type and degree of occurrence of diseases. If the diagnosis is incorrect, farmers will blindly apply pesticides in large quantities. Obtaining a good agricultural harvest will also cause a large amount of pesticides to be lost to the non-target environment, causing human and animal poisoning, serious environmental pollution, and a series of more serious problems.

It can be seen that timely and accurate acquisition of disease information and precise application of pesticides are crucial to improving the efficiency of pesticide use and enhancing its control effect. Only by making a timely and accurate diagnosis of the disease can we formulate a comprehensive control plan correctly, take necessary control measures in a timely manner, economically and effectively reduce the incidence of disease, and ensure high and stable agricultural yields.

Accurate, rapid and reliable evaluation of crop water status and disease status is the theoretical basis for effective condition-based precision irrigation and disease control. The latest progress in plant water physiology research in recent years tells us that plants have been conveying signals of water shortage and disease stress to us all the time in their own "language". The "language" of plants refers to the popping sound that occurs when the water flow breaks or the disease is attacked due to lack of water on the water flow path of the plant, that is, the "acoustic emission" phenomenon of the crop.

With the continuous development of science and technology, especially biotechnology, the degree of crop disease stress can be detected by using acoustic emission technology (Acoustic Emission for short). In other words, when crops are under disease stress, the degree of crop disease stress can be detected by acoustic emission sensors. Therefore, it is possible to use acoustic emission technology combined with greenhouse crop environmental monitoring to carry out crop disease stress and its condition-based diagnosis and control.

Therefore, my country should further implement the plant protection policy of "prevention first, comprehensive prevention and control". Learn from some practices in the integrated control of diseases and insect pests abroad, increase integrated control, strengthen monitoring and forecasting of crop diseases, minimize the use of chemical pesticides, especially high-toxicity and high-residue pesticides, promote scientific use of pesticides, optimize pesticide application techniques, and improve The utilization rate of pesticides, emphasis on resistance management, and the realization of the requirements of "green plant protection" and the sustainable development of agriculture as soon as possible.

Contents of the invention

The purpose of this utility model is to overcome the deficiencies of the prior art and provide a greenhouse environment monitoring and disease diagnosis and pesticide control system based on wireless sensor networks. The system combines the crop acoustic emission mechanism to intelligently monitor the crop environment, Disease diagnosis and irrigation as appropriate.

The utility model is achieved through the following technical solutions:

A wireless sensor network-based greenhouse environment monitoring and condition-based pesticide irrigation and control irrigation system, including acoustic emission sensors, acoustic emission acquisition boards, host computers, wireless sensor networks, environmental factor sensors, relays and actuators, is characterized in that: An acoustic emission sensor is installed on the main diameter of the crop plant, the emission sensor is connected to the acoustic emission acquisition board, the acoustic emission acquisition board is input to the host computer through the PCI bus, and the host computer is bidirectionally connected to the wireless sensor network, and the wireless sensor network receives environmental factors The signal of the sensor, at the same time, the signal processed by the host computer controls the relay and the actuator.

Moreover, the acoustic emission sensor adopts the R15 type acoustic emission sensor produced by PAC Company, and two-way acoustic emission sensors can be selected to initially locate the sound source of disease stress; the upper computer is a computer system based on labWVIEW, and the solenoid valve adopts fcc- 11s type, the actuator includes a relay and a valve, the relay uses HK3FF-DC5V-SHJ type.

Moreover, the wireless sensor network is a star network based on a single-chip microcomputer.

Moreover, the environmental factor sensors include temperature and humidity sensors, illumination and _CO2 concentration sensors.

Moreover, silica gel is placed between the acoustic emission sensor and the crop plants.

Advantage and positive effect of the present utility model are:

1. The system collects the ultrasonic signal sent by the crops under the stress of disease through the acoustic emission sensor, converts it into a weak electrical signal, performs noise filtering and amplification through the signal conditioning circuit, inputs it to the acoustic emission acquisition board, and inputs it to the host computer through the PCI bus for further processing. Through analysis and processing, the statistical distribution law of the acoustic emission signal can be obtained, and the relationship between the acoustic emission signal and the degree of disease can be roughly obtained.

2. The environmental factor detection parameters of this system are uploaded to the host computer for analysis and processing through the wireless sensor network, and the relationship between environmental factors and the impact on the degree of disease are obtained. and neural network to make disease prevention and control strategies. Finally, according to the degree of disease, the application instructions are given, and the terminal nodes of the wireless sensor network are used to control the actuators to perform drug irrigation and other treatments. This method will not cause damage to the plants, and the test accuracy is relatively high. high.

3. This system uses the monitoring of various environmental factor parameters in the greenhouse to predict the transpiration of crops, and at the same time monitors the acoustic emission signals of crops to comprehensively determine the degree of water shortage and disease degree, and together with the acoustic emission sensor to ensure the detection accuracy of plant disease stress , giving the opening time of the irrigation valve and the application valve.

4. The system implements intelligent sprinkling irrigation based on the acoustic emission signals and temperature and humidity signals issued by the crops under the stress of the disease, and according to the different soil moisture and disease degrees required by the different growth periods of the crops, it is set by computer software. And properly adjust the water supply efficiency and water supply time of crops to achieve the balance between the amount of transpiration of crops and the amount of spraying or drip irrigation of crops, and achieve the purpose of water saving and disease prevention while ensuring proper soil moisture for crop growth .

Description of drawings

Fig. 1 is a system structure connection block diagram of the present utility model;

Fig. 2 is an overall block diagram of the system control strategy of the present invention.

Detailed ways

Embodiments of the present utility model are described in further detail below in conjunction with the accompanying drawings, but are not limited to the specific structures described in this embodiment.

A wireless sensor network-based irrigation system for greenhouse environment monitoring and condition-based pesticide application and control. As shown in Figure 1, two acoustic emission sensors are installed on the main path of crop plants. Silica gel is placed between the acoustic emission sensor and the crop plants. The acoustic emission sensor adopts the R15 acoustic emission sensor produced by PAC Company, which can measure the ultrasonic signal emitted by the crop under disease stress and convert the signal into a weak electrical signal. The signal is amplified by the signal amplifier and input to the acoustic emission acquisition board, and then input to the computer (PC) host computer monitoring software through the PCI bus for analysis and processing; at the same time, the temperature and humidity of the greenhouse environment are measured by the wet and dry bulb method, as well as the concentration of light and CO2 After the parameters are collected by the corresponding environmental factor sensors, they are sent to the host computer through the wireless sensor network using RS232, which is analyzed and processed on the host computer, and the acoustic emission signal is combined with the environmental factors through software on the host computer, using fuzzy control and neural The network makes the optimal control strategy for disease prevention and control, gives instructions for applying pesticides depending on the degree of the disease, and uses the terminal nodes of the wireless sensor network to control the actuators to perform drug irrigation and other treatments. A relay is used to control the solenoid valve and valve of the executive mechanism connected to the pipeline of the crop plant by the water storage device, and the solenoid valve implements actions such as drip irrigation and spray irrigation of the crop plant by receiving the signal of the relay. The wireless sensor network is a star network based on a single-chip microcomputer. The solenoid valve adopts the fcc-11s type, and the relay adopts the HK3FF-DC5V-SHJ type. The control strategy of the greenhouse system is shown in Figure 2;

The PC used in this embodiment is a computer system based on labVIEW. In order to accurately and timely judge the irrigation and pesticide application of crops, monitor various environmental parameters in the greenhouse to predict the transpiration of crops, and monitor the sound of crops at the same time. Transmit signals and their abnormalities to comprehensively determine the opening time of the irrigation valve and the opening time of the pesticide application valve; The valve opening time is used as the control amount of the fuzzy control model for crop disease prevention and control in the greenhouse. A fuzzy control model is established with the crop acoustic emission frequency and transpiration as the input, and the opening time of the irrigation and pesticide application valve as the output, and the pesticide is applied according to the degree of crop disease. . The overall block diagram of the system control strategy is shown in Figure 2.

The upper computer disease diagnosis software is designed based on the combination of neural network and expert system, which belongs to the category of existing technology. The fuzzy control system for greenhouse crop disease prevention and control based on labVIEW also belongs to the prior art category.

The working principle of the utility model is:

Information such as temperature, humidity, light and _CO2 concentration in the greenhouse is collected by corresponding acquisition sensors, converted into electrical signals, and transmitted to the monitoring center through the wireless sensor network. Each environmental parameter predicts the transpiration of the crop, and at the same time monitors the acoustic emission signal of the crop and its abnormality to comprehensively determine the water shortage and disease of the crop, so as to give the opening time of the irrigation valve and the opening time of the spraying valve. Select the opening time of irrigation and pesticide application valves as the control amount of the fuzzy control model for greenhouse crop disease control, establish a fuzzy control model with crop acoustic emission frequency and transpiration as input, and take the opening time of irrigation and pesticide application valves as output. Precise application of pesticides according to the degree of disease. The generated pesticide application control signal controls the relay through the wireless sensor network, and the relay controls the solenoid valve to perform drip tank or sprinkler irrigation operations on the water inlet and pesticide inlet pipelines.

Claims (5)

1. A wireless sensor network-based greenhouse environment monitoring and crop disease diagnosis and pesticide application control system, including acoustic emission sensors, acoustic emission acquisition boards, host computers, wireless sensor networks, environmental factor sensors, relays and actuators , characterized in that: an acoustic emission sensor is installed on the main diameter of the crop plant, the emission sensor is connected to an acoustic emission acquisition board, the acoustic emission acquisition board is input to the upper computer through the PCI bus, and the upper computer is bidirectionally connected to the wireless sensor network, the wireless sensor The sensor network receives the signal of the environmental factor sensor, and at the same time controls the relay and the actuator with the signal processed by the host computer. the 2. The greenhouse environment monitoring based on wireless sensor network according to claim 1 and the crop disease diagnosis and control system for pesticide application according to the situation, it is characterized in that: the acoustic emission sensor adopts the R15 type acoustic emission sensor produced by PAC company, selects Two-way acoustic emission sensors can preliminarily locate the sound source of disease stress; the host computer is a computer system based on labWVIEW, the solenoid valve adopts fcc-11s type, and the actuator includes relays and valves. The relay adopts HK3FF-DC5V-SHJ type . the 3. The wireless sensor network-based greenhouse environment monitoring and crop disease diagnosis and application control system according to the situation according to claim 1, characterized in that: the wireless sensor network is a star network based on a single-chip microcomputer. the 4. The greenhouse environment monitoring and crop disease diagnosis and control system based on wireless sensor network according to claim 1, characterized in that: the environmental factor sensors include temperature and humidity sensors, light and _CO2 concentration sensors. 5. The wireless sensor network-based greenhouse environment monitoring and crop disease diagnosis and application control system according to the situation according to claim 1, characterized in that: silica gel is placed between the acoustic emission sensor and the crop plants. the

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