CN100493212C - Intelligent early warning system of field crop diseases and insect pests - Google Patents

Abstract

The invention discloses an intelligent early warning system for field crop diseases and insect pests, which is composed of a data acquisition module, a convergence node and a computer subsystem. The data acquisition module wirelessly sends the collected environmental temperature, humidity, and light intensity data to the aggregation node, and the aggregation node wirelessly sends the data to the computer subsystem through the GSM module, and the intelligent early warning program in the computer subsystem summarizes the recently received data , call the corresponding forecasting model to calculate the level of crop diseases and insect pests, and send the warning information and control strategy to the user's mobile phone through GSM SMS modem. The computer is connected to the Internet, and can receive knowledge of crop disease and insect pest control, historical data, field and sensor fact data uploaded by agricultural technicians. The intelligent early warning program uses a hybrid algorithm of genetic programming and genetic algorithm to calculate a crop disease and pest prediction model based on the historical data of crop diseases and insect pests. The invention solves the technical problem of low-cost automatic early warning of diseases and insect pests in unattended fields.

Description

Intelligent early warning system of field crop diseases and insect pests

Technical Field The present invention belongs to the field of intelligent systems, and more specifically relates to an intelligent early warning system for field crop diseases and insect pests involving technologies such as sensor networks, GSM wireless communications, intelligent computing, software, databases, and Internet networks.

Background technology The monitoring and early warning process of farmland diseases and insect pests consists of five links: "monitoring data collection → monitoring data transmission → monitoring data processing → disaster early warning analysis → forecasting information release".

Aiming at these five links, there have been many patent applications for related inventions. However, due to the narrow scope of application, difficulty in expanding, and high product costs, these related inventions have major problems in large-scale application in unattended multi-crop fields. The following be introduced separately.

Shen Zuorui of China Agricultural University applied for an invention patent named "Intelligent Monitoring System for Greenhouse Ecological Health" on May 15, 2003. The patent application was published on December 24, 2003, and the application number is 03131063.X. The invention discloses an intelligent monitoring system for the ecological health of the greenhouse, including sensors for measuring the temperature, humidity, and illumination parameters in the greenhouse and a processor for monitoring images of crop diseases and insect pests. The parameters in the greenhouse are measured according to the computer program and go through three subsystems processing, they are:

1) Under the control of the single-chip microcomputer, real-time collection, display and storage of various parameters are carried out. This is the "electronic eye" monitoring subsystem;

2) Transfer the collected data to the crop expert system knowledge base composed of single-chip microcomputers, analyze the data, compare and save it with the set required data, and make suggestions on the prevention and control of crop diseases and insect pests. This is the "electronic brain" intelligence subsystem.

3) After the data comparison, according to the temperature, humidity, and light exceeding the suitable growth range of crops or reaching the range of suitable conditions for common crop diseases and insect pests, or exceeding the control indicators of diseases and insect pests, the user will be notified in time by means of mobile phone text messages. This is "electronic mouth". "Call Subsystem.

The intelligent monitoring system of the ecological health of the greenhouse can automatically monitor the temperature, humidity, light and crop diseases and insect pests in the energy-saving plastic greenhouse solar greenhouse. When the ecological health of the crops encounters a crisis, it can call in time to remind users to take measures.

This invention has indeed completed five links of monitoring and early warning of pests and diseases. However, this invention is designed for greenhouses, and cannot remotely monitor field environmental data. It is only suitable for single-user, single-crop, and single-expert systems. It is necessary to compare the data to draw the pest level and control conclusions, that is, to draw conclusions through a series of judgments, which is highly dependent on expert knowledge and cannot deal with various pests and diseases in various crop fields. The use of historical data of pests and diseases in various places The rate is low and the scalability is not strong.

Shenzhen Baoan District Agricultural Science and Technology Promotion Center applied for an invention patent named "Remote Wireless Crop Information Feedback and Controlled Environment Agricultural Intelligent System" on February 24, 2004, and the patent application was published on January 5, 2005 , the application number is 200410004716.5. The invention discloses a remote wireless crop information feedback and controllable environment agricultural intelligent system, including a frequency conversion synchronous irrigation and fertilizer applicator, characterized in that it also includes a climate and irrigation control operating system, a physiological diagnosis monitoring system, a programmable controller and a computer . The invention also includes a database system for crop growth conditions and environmental conditions, a cucumber cultivation expert control and consultation system, a built-in lightning protection system, and a fault monitoring and alarm system. The invention can monitor, control and diagnose the growth environment of the crops in the greenhouse, their own growth status, fertilization and irrigation, diagnosis and control of diseases and insect pests, and perform remote operations through the network. The invention has the advantages of advanced design, accurate diagnosis, scientific decision-making, high intelligent program, good controllability, strong practicality, powerful functions, stability and reliability, etc. It can be widely used in field water-saving irrigation, agricultural facility cultivation and soilless greenhouse cultivation system.

The purpose of this invention is complex crop environment monitoring and intelligent control of agricultural facilities to adjust the crop environment. It is a high-cost intelligent system serving precision agriculture, and cannot be applied on a large scale to large fields. In terms of diagnosis and control of pests and diseases, only limited diagnostic functions are provided for crops in the greenhouse, and a complete early warning system has not been established. For the field, the invention only provides functions such as water-saving irrigation, and does not mention early warning of diseases and insect pests, nor does it have scalability for various crops and diseases and insect pests.

The Hefei Institute of Intelligent Machinery of the Chinese Academy of Sciences applied for an invention patent on November 14, 2003 called a device for monitoring crop diseases and insect pests and generating pesticide prescriptions. The patent application was published on November 10, 2004, and the application number is 200310106307.1 . The invention uses cameras and pesticide detectors to monitor crops in real time, and combines relevant databases and pattern recognition programs in the computer to make intelligent decision-making based on knowledge reasoning and generate prescriptions for pest control.

The invention mainly uses cameras and pesticide detectors for real-time monitoring, and uses real-time data and databases for monitoring and diagnosing pests and diseases. This invention does not use temperature, humidity and light sensors, does not have equipment for remote transmission of environmental data and early warning information, and does not provide agricultural technicians with the ability to upload data on various crop diseases and insect pests, so it is not suitable for automatic early warning of diseases and insect pests in unattended fields of various crops.

SUMMARY OF THE INVENTION The object of the present invention is: an intelligent early warning system for field diseases and insect pests, which solves the technical problem of low-cost automatic early warning of plant diseases and insect pests for unattended fields of various crops. The invention uses a sensor network with low power consumption to collect and transmit field environmental data over a short distance, and uses a GSM module for remote data transmission, so as to solve the technical problems of high-efficiency collection of comprehensive information in a wide range and remote wireless transmission. The computer adopts the intelligent early warning program of GP/GA (genetic programming/genetic algorithm), which realizes the support for the calculation and prediction model of various crops and diseases and insect pests, thus solving the technical problem of early warning of diseases and insect pests for multiple fields and crops by a single computer system.

The technical scheme of the present invention is: an intelligent early warning system for field crop diseases and insect pests, including a data acquisition module, a gathering node and a computer subsystem, and the computer subsystem includes a GSM SMS modem and a short message sending and receiving platform, especially: the computer subsystem of the field crop intelligent early warning system for disease and insect pests The system also includes an intelligent early warning program and a crop disease and insect pest early warning information database. The system composition and processing process are:

1.1 Multiple data acquisition modules correspond to one aggregation node. The data acquisition module is composed of piezoelectric vibration power supply, sensor network antenna, RF transmitter, microcontroller, temperature and humidity sensor and light intensity sensor. The aggregation node is composed of wireless receiving device, micro Controller, GSM module, basic power supply.

1.2 The computer subsystem consists of a computer and a wireless SMS device GSM SMS modem electrically connected to it. The computer is connected to the Internet. The computer is equipped with a crop disease and pest early warning information database, and runs a short message sending and receiving platform and an intelligent early warning program.

1.3 In the data acquisition module, the temperature and humidity sensor and the light intensity sensor collect field environmental data, the sensor sends a ready signal to the microcontroller, requesting to read the data, the microcontroller receives the ready signal, sends a serial clock signal, and starts Receive data in a serial manner. After the data transmission is completed, the sensor automatically enters the sleep state. The microcontroller sends its own serial number and the received data to the RF sending device in the form of frames. The data acquisition module adopts low-power embedded software design technology, Short-time burst mode of wireless transmission, data fusion and compression technology.

1.4 In the aggregation node, the wireless receiving device transmits the received data to the microcontroller by wire. The data includes two bytes of measurement information and one byte of cyclic redundancy check, and each byte has a confirmation bit. Among them, 00000101 means humidity measurement, 00000011 means temperature measurement, and the microcontroller encodes the received data and sends it to the computer subsystem remotely through the GSM module. The RF sending device in the data acquisition module and the wireless receiving device in the aggregation node adopt the system Level power consumption optimization technology, the aggregation node uses a wireless receiving device to receive wireless sensor data, uses a GSM module for remote data transmission, and uses a microcontroller to control wireless sensor data reception and GSM module remote data transmission.

1.5 In the computer subsystem, the intelligent early warning program receives the knowledge of crop pest control, historical crop disease and pest data, field and sensor fact data uploaded by agricultural technicians through the Internet, and stores the received data into the crop pest early warning information database. The intelligent early warning program The hybrid algorithm of genetic programming and genetic algorithm is used to calculate the corresponding crop disease and pest prediction model based on the historical data and factual data of crop diseases and insect pests and store them in the early warning information database of crop diseases and insect pests.

1.6 In the computer subsystem, the short message sending and receiving platform receives the field environmental data in real time through the GSM SMS modem, decodes it and stores it in the crop disease and pest early warning information database. Send the warning and control information of pests and diseases with a level greater than or equal to 3 to the user's mobile phone through the SMS sending and receiving platform.

The data acquisition module is powered by a piezoelectric vibration power supply, uses a temperature and humidity sensor and a light intensity sensor to collect environmental data, uses an RF transmitter to send data wirelessly, and uses a microcontroller to control data transmission and reception. The temperature and humidity sensor, light intensity sensor, RF The models of the sending device and microcontroller are SHT11, TSL2561, nRF401, and Msp430F149 respectively.

The models of the wireless receiving device, GSM module and microcontroller are nRF401, Siemens TC35i and Msp430F149 respectively.

Adopt GSM short message modem to carry out note sending and receiving in the computer subsystem, described GSM short message modem model is wavecom WMOD2.

The beneficial effect of the present invention is that: the invention patent of "greenhouse ecological health intelligent monitoring system" in the prior art can automatically monitor the temperature, humidity, light and crop diseases and insect pests in the energy-saving plastic greenhouse solar greenhouse, and can be used as the ecological monitoring system of crops. When the health is in crisis, it can call in time to remind the user to take measures. The weak point of this invention is: this invention can't monitor the field environment at a long distance, and is only suitable for single user, single crop, single expert system. Comparing the data to get the pest level and control conclusions is highly dependent on expert knowledge, and cannot handle multiple pests and diseases in multi-user fields. The utilization rate of historical data of pests and diseases for various crops in various places is low, and the scalability is not strong.

The invention patent of "remote wireless crop information feedback and controllable environment agricultural intelligent system" in the prior art can monitor and control the growth environment of crops in the greenhouse, their own growth status, fertilization and irrigation, and diagnosis and control of diseases and insect pests , diagnosis, remote operation through the network. The disadvantages of this invention are: this invention is only suitable for high-cost, high-tech precision agriculture, and cannot be applied to large-scale fields; in terms of diagnosis and control of diseases and insect pests, it only provides limited diagnostic functions for crops in greenhouses, and has not established Complete early warning system. For the field, the invention only provides functions such as water-saving irrigation, does not mention early warning of diseases and insect pests, and does not have scalability for various crops and diseases and insect pests.

Compared with the prior art, the intelligent early warning system for field crop diseases and insect pests of the present invention includes a data acquisition module, a convergence node and a computer subsystem, and multiple data acquisition modules correspond to one convergence node. The data acquisition module is composed of piezoelectric vibration power supply, sensor network antenna, RF transmitter, microcontroller, temperature and humidity sensor and light intensity sensor. The aggregation node is composed of a wireless receiving device, a microcontroller, a GSM module, and a basic power supply. The computer subsystem includes GSM SMS modem, SMS sending and receiving platform, intelligent early warning program and crop disease and insect pest early warning information database. In the data acquisition module, the temperature and humidity sensor and the light intensity sensor collect field environmental data, and the microcontroller and the sensor send and receive data in a serial manner. After the data transmission is completed, the sensor automatically enters the sleep state. Type software design technology, short-time burst mode of wireless transmission, data fusion and compression technology. The RF sending device in the data acquisition module and the wireless receiving device in the aggregation node adopt system-level power consumption optimization technology. The aggregation node uses a wireless receiving device to receive wireless sensor data, uses a GSM module for remote data transmission, and uses a microcontroller to control wireless sensors. Data receiving and GSM module remote data sending. In the computer subsystem, the intelligent early warning program receives crop pest control knowledge, historical data of crop diseases and pests, field and sensor fact data uploaded by agricultural technicians through the Internet, and stores the received agricultural data into the crop disease and pest early warning information database. The intelligent early warning program adopts The genetic programming/genetic algorithm hybrid algorithm calculates the corresponding crop disease and pest prediction model based on the crop disease and pest historical data and stores it in the crop disease and pest early warning information database. The intelligent early warning program summarizes the recent field environmental information and uses the pest prediction model to calculate the pest level, and sends the pest warning and control information with a level greater than or equal to 3 to the user's mobile phone through the SMS sending and receiving platform.

Known by technical scheme of the present invention:

First, the data acquisition module uses lower-cost sensors, transceivers and microcontrollers, which reduces the cost of system hardware equipment. The low power consumption hardware design can maximize the working time according to the characteristics of field crop data collection environment. Adopting low-power embedded software design technology, short-time burst mode of wireless transmission, data fusion and compression technology can maximize the maintenance-free performance of the system while meeting the requirements of field data collection.

Second, the data acquisition module and the aggregation node, the RF sending device in the data acquisition module and the wireless receiving device in the aggregation node adopt system-level power consumption optimization technology, the aggregation node uses the wireless receiving device to receive wireless sensor data, and the GSM module is used for remote monitoring. For data transmission, a microcontroller is used to control wireless sensor data reception and GSM module remote data transmission, which minimizes the total energy consumption of the system.

Third, the crop disease and insect pest early warning information database in the computer subsystem contains knowledge of crop disease and insect pest control, crop disease and pest historical data, field and sensor fact data. Immediate access to data issues. Multiple users share the same computer subsystem, which further reduces the system cost for a large number of users and multi-crop field warning.

Fourth, the intelligent early warning program in the computer subsystem adopts the hybrid algorithm of genetic programming and genetic algorithm, and can calculate the pest prediction model suitable for the corresponding crop according to the historical data of any crop disease and pest that meets the format requirements, so that the system has a strong The scalability is suitable for multi-user, multi-crop field disease and pest early warning.

Fifth, the intelligent early warning system for field crop diseases and insect pests uses the combination of wireless sensor network and GSM network to realize real-time monitoring and remote transmission of field environmental information, which solves the problem of long-distance real-time monitoring of field environment.

Description of drawings

Fig. 1 is a system structure diagram of the present invention.

Figure 2 is a structural diagram of the data acquisition module.

Figure 3 is the overall data flow diagram of the system.

Detailed ways

Embodiments of the present invention will be further described below in conjunction with accompanying drawings:

Fig. 1 is a system structure diagram of the present invention. The wide arrows in the figure indicate the transmission of data information, and the narrow arrows indicate the transmission of control information. In Figure 1, the system includes a data acquisition module, a convergence node and a computer subsystem, and multiple data acquisition modules correspond to a convergence node. The aggregation node includes wireless receiving device nRF401, microcontroller Msp430F149, GSM module Siemens TC35i, and basic power supply. The computer subsystem includes computer, GSM SMS cat wavecom WMOD2, SMS sending and receiving platform, intelligent early warning program and crop disease and insect pest early warning information database, among which the computer is connected to the Internet network.

The GSM module of the aggregation node adopts Siemens TC35i, which has two frequency bands of GSM900MHz and GSM1800MHz, supports data, voice, short message and fax, uses 4.8V basic power supply, and uses RS-232 bus protocol between TC35i and microcontroller Msp430F149 interconnection. The wireless receiving device nRF401 adopts the system-level power consumption optimization technology in the channel multiplexing technology. The nRF401 is not always in the monitoring state, but uses the method of timing wake-up to monitor.

The crop disease and insect pest early warning information database in the computer subsystem is composed of field environment information table, crop disease and insect pest knowledge table, crop disease and insect pest historical data table, field and sensor fact table, received short message table, and pending short message table.

The short message sending and receiving platform in the computer subsystem controls the GSM short message modem connected to the computer through the short message control and RS-232 serial port, and completes the data sending and receiving, classification and reading and writing. The short message sending and receiving platform will write the received environmental information into the field environmental information table of the crop disease and insect pest early warning information database. The short message sending and receiving platform is also responsible for regularly scanning the waiting short message list of the crop disease and insect pest early warning information database, taking out unsent short messages and sending them to the user's mobile phone.

The intelligent early warning program in the computer subsystem simultaneously monitors the Internet and operates the database of early warning information of diseases and insect pests. The intelligent early warning program receives the data uploaded by agricultural technicians, and stores them in the knowledge table of crop diseases and insect pests, the historical data table of crop diseases and insect pests, and the field and sensor fact table according to the data type. The crop disease and insect pest knowledge table records crop name, disease and insect pest name, control method, disease and insect pest prediction model and historical data table name; crop disease and insect pest historical data table records the incidence information of specific diseases and insect pests in previous years, including temperature and humidity, light intensity and other information that affects the level of diseases and insect pests. The field and sensor fact table records the sensor number and the corresponding crop name, and records the fact information of other factors that affect the level of crop diseases and insect pests at the same time. According to the received historical data table of crop diseases and insect pests, the intelligent early warning program adopts the hybrid algorithm of genetic programming and genetic algorithm to calculate the prediction model of diseases and insect pests and store them in the corresponding records in the knowledge table of crop diseases and insect pests. The intelligent early warning program regularly scans the field environmental information table, takes out the recent environmental information of the same field and summarizes it, then takes out the fact information in the field and sensor fact tables, and then calls the corresponding pest prediction model computer to obtain the pest incidence level information, if the level If it is higher, the mobile phone number of the user in Daejeon, the level of possible pests and diseases and the prevention and control methods will be written into the short message list to be sent.

Figure 2 is a structural diagram of the data acquisition module. The wide arrows in the figure indicate the transmission of data information, and the narrow arrows indicate the transmission of control information. The data acquisition module includes piezoelectric vibration power supply, sensor network antenna, RF transmitter nRF401, microcontroller Msp430F149, temperature and humidity sensor SHT11 and light intensity sensor TSL2561.

The sensor acquires environmental data from the outside, sends a ready (ready) signal to the microcontroller, and requests to read data, and the microcontroller receives the ready signal, sends a serial clock signal, and begins to receive data in a serial manner. Data is valid on the falling edge of the clock. If the serial clock signal (SCK) is high level, the data signal is low level, and when SCK is high level again, the data signal changes from low level to high level, which means that the data starts to be transmitted. The data includes two bytes of measurement information and one byte of cyclic redundancy check (CRC), and each byte has an acknowledgment bit (ACK), where 00000101 represents humidity measurement and 00000011 represents temperature measurement. After the data transmission is completed, it will automatically enter the sleep state. The microcontroller sends the received data to the wireless transmitter nRF401 in the form of a frame. The data frame includes two parts: the frame header and the data. Both the header and the data part are transmitted in hexadecimal ASCII code to ensure the transparency of the protocol.

The information processing and control unit of the data acquisition module is an ultra-low power consumption microcontroller Msp430F149 with built-in A/D conversion function. Msp430F149 receives the digital signal from the sensor and sends it to the ultra-low power consumption RF sending device nRF401 after processing. The on and off of nRF401 power supply is controlled by Msp430F149 and the piezoelectric vibration power supply voltage at the same time. After Msp430F149 processes the information sent by the detection device, it needs to send the signal. At this time, the microcontroller turns on the power supply device of nRF401, and at the same time The piezoelectric vibration power supply voltage must meet the power supply voltage of nRF401, and it can work normally only when both of them meet the connection conditions. In this module, the energy consumed by transmission is often higher than that of processing, so the amount of communication is reduced by increasing the amount of calculation to minimize the total energy consumption of the system. For those receivers who only care about the characteristic signal, find a balance point between calculation, storage and communication energy, so as to minimize the total energy of the system before sending it out.

Figure 3 is the overall data flow diagram of the system. The broad arrows in the figure indicate the transmission data information. The wide arrows of each device and data flow in the figure indicate the data processing and transmission process. In the figure, 1 is the microcontroller number of the data acquisition module and the field environment data, 2 is the coded microcontroller number and the field environment data, 3 is the decoded field environment data, and 4 is the crop pest control knowledge and the crop pest pest history Data, field and sensor fact data, 5 is crop disease and pest historical data, field and sensor fact data, field environmental data, crop disease and pest prediction model and knowledge of crop disease and pest control, 6 is crop disease and pest prediction model, user mobile phone number, disease and pest warning and control Information, 7 is coded pest warning and control information.

Claims (4)

1. The intelligent early warning system for field crop diseases and insect pests, including data acquisition modules, converging nodes and computer subsystems, the computer subsystems include GSM SMS modem, SMS sending and receiving platform, characterized in that: the computer subsystem of the field crop intelligent early warning system for diseases and insect pests also includes intelligent The early warning program and the crop disease and insect pest early warning information database, the system composition and processing process are: 1.1 Multiple data acquisition modules correspond to one aggregation node. The data acquisition module is composed of piezoelectric vibration power supply, sensor network antenna, RF transmitter, microcontroller, temperature and humidity sensor and light intensity sensor. The aggregation node is composed of wireless receiving device, micro Controller, GSM module, basic power supply; 1.2 The computer subsystem is composed of a computer and a wireless SMS device GSM SMS modem electrically connected to it. The computer is connected to the Internet network. The computer is equipped with a crop disease and pest early warning information database, and runs a short message sending and receiving platform and an intelligent early warning program; 1.3 In the data acquisition module, the temperature and humidity sensor and the light intensity sensor collect field environmental data, the sensor sends a ready signal to the microcontroller, requesting to read the data, the microcontroller receives the ready signal, sends a serial clock signal, and starts Receive data in a serial manner. After the data transmission is completed, the sensor automatically enters the sleep state. The microcontroller sends its own serial number and the received data to the RF sending device in the form of frames. The data acquisition module adopts low-power embedded software design technology, Short-term burst mode of wireless transmission, data fusion and compression technology; 1.4 In the aggregation node, the wireless receiving device transmits the received data to the microcontroller by wire. The data includes two bytes of measurement information and one byte of cyclic redundancy check, and each byte has a confirmation bit. Among them, 00000101 means humidity measurement, 00000011 means temperature measurement, and the microcontroller encodes the received data and sends it to the computer subsystem remotely through the GSM module. The RF sending device in the data acquisition module and the wireless receiving device in the aggregation node adopt the system Level power consumption optimization technology, described convergence node adopts wireless receiving device to receive wireless sensor data, adopts GSM module to carry out remote data transmission, adopts microcontroller to control wireless sensor data reception and GSM module remote data transmission; 1.5 In the computer subsystem, the intelligent early warning program receives the knowledge of crop pest control, historical crop disease and pest data, field and sensor fact data uploaded by agricultural technicians through the Internet, and stores the received data into the crop pest early warning information database. The intelligent early warning program Using the hybrid algorithm of genetic programming and genetic algorithm, according to the historical data and factual data of crop diseases and insect pests, the corresponding crop disease and insect pest prediction models are calculated and stored in the crop disease and insect pest early warning information database; 1.6 In the computer subsystem, the short message sending and receiving platform receives the field environmental data in real time through the GSM SMS modem, decodes it and stores it in the crop disease and pest early warning information database. Send the warning and control information of pests and diseases with a level greater than or equal to 3 to the user's mobile phone through the SMS sending and receiving platform. 2. The intelligent early warning system for field crop diseases and insect pests according to claim 1, characterized in that: the data acquisition module is powered by a piezoelectric vibration power supply, adopts a temperature and humidity sensor and a light intensity sensor to collect environmental data, and uses an RF transmission device to wirelessly To send data, a microcontroller is used to control data transmission and reception. The models of the temperature and humidity sensor, light intensity sensor, RF sending device, and microcontroller are respectively SHT11, TSL2561, nRF401, and Msp430F149. 3. The intelligent early warning system for field crop diseases and insect pests according to claim 1, characterized in that: the models of the wireless receiving device, GSM module, and microcontroller are nRF401, Siemens TC35i, and Msp430F149, respectively. 4. The intelligent early warning system for field crop diseases and insect pests according to claim 1, characterized in that: the computer subsystem adopts GSM SMS modem for sending and receiving short messages, and the model of the GSM SMS modem is wavecom WMOD2.

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