CN101789167A - Wireless sensor network system and method for monitoring farmland pollution areas - Google Patents
Wireless sensor network system and method for monitoring farmland pollution areas Download PDFInfo
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Abstract
The invention relates to a wireless sensor network system and a wireless sensor network method for monitoring farmland pollution areas. The system comprises an intelligent sensor node unit (1), a gateway node unit (2) and a remote data central unit (3), wherein the input end of the gateway node unit (2) is in wireless connection with the output end of the intelligent sensor node unit (1); and the output end of the gateway node unit (2) is in wireless connection with the input end of the remote data central unit (3). The wireless sensor network-based system for monitoring the farmland pollution is established according to the wide application prospect of a wireless sensor network on agriculture, and improves the degree of automation of farmland pollution information acquisition and the accuracy of data acquiring points; and combined with GPRS suitable for remote data transmission technology, the system can perform large-scale, remote, real-time and accurate monitoring on the farmland pollution areas remotely. The system and the method can realize automation, networking and intelligence of the farmland information monitoring, facilitate the management of farmlands, improve the capability of preventing and resisting pollution of the farmlands, and protect the ecological environment.
Description
Technical field
The present invention is a kind of farmland pollution areas supervisory system and method for supervising thereof of wireless sensor network, relate in particular to based on three-dimensional supervisory system of the long-range farmland pollution areas of wireless sensor network and GPRS and method for supervising thereof, belong to the farmland pollution areas supervisory system of wireless sensor network and the renovation technique of method for supervising thereof.
Background technology
Existing wireless sensor network is the network that is made of the mode of a large amount of small nodes that is integrated with sensor, data processing unit and wireless communication module by self-organization (Ad hoc).It combines sensor technology, embedded computing technique, modern network and wireless communication technology, distributed information processing, has very wide application prospect.It all has potential practical value at many key areas such as military and national defense, industrial or agricultural, city management, biomedicine, environmental monitoring, rescue and relief work, anti-terrorism, hazardous location Long-distance Control simultaneously.
Agriculturally, agricultural is the basis of national economy, and the sustainable development of agricultural will directly influence the expanding economy of China entire society.At present, the security situation of agricultural products in China and farm environment is severe just day by day.Along with industrialization; modernized and socioeconomic fast development; the sharp increase of population; and it is human to the resource irrational utilization; the environmental pollution that the discharging of industry " three wastes " and domestic refuse causes; chemical fertilizer; agricultural chemicals; growth hormone; a large amount of uses of chemical substances such as agricultural plastic film; the fowl poultry discarded object that the development of large-scale cultivation industry brings increases; the agricultural use of industrial waste pollutant and the unreasonable disposal of farmland discarded object etc.; caused water body-soil-biology-atmosphere in the agricultural system directly; compound; intersect and cyclic polluting (being " agricultural is three-dimensional to be polluted " that the relevant expert proposes); greatly influenced the performance of the stable and function of Agro-ecological System, thus the safety in production of serious threat agricultural products in China.Make up the farmland pollution infosystem, improve three-dimensional monitoring and the prediction ability that pollutes the condition of a disaster the farmland system, very necessary.
The collection of traditional farmland pollution information is carried out artificial Information Monitoring input computer system again by manpower to each sampled point.Also there is application GPRS wireless network to monitor, but can not carries out accurate data acquisition guarded region.
Summary of the invention
The objective of the invention is to consider the problems referred to above and provide a kind of can be remotely to farmland pollution areas carry out on a large scale, long-range, real-time, monitor the farmland pollution areas supervisory system of wireless sensor network accurately.
Another object of the present invention is to provide a kind of method for supervising of farmland pollution areas supervisory system of convenient and practical wireless sensor network.
Technical scheme of the present invention is: the farmland pollution areas supervisory system of wireless sensor network of the present invention, include intelligence sensor node unit, gateway node unit, remote data center unit, the wherein output terminal wireless connections of the input end of gateway node unit and intelligence sensor node unit, the input end wireless connections of the output terminal of gateway node unit and remote data center unit.
Above-mentioned intelligence sensor node unit is wireless sensor network intelligence sensor node unit, and the gateway node unit is a wireless sensor network embedded gateway node unit.
Above-mentioned intelligence sensor node unit is made up of farmland attribute information sensor, information acquisition controller, wireless communication module, the input interface of information acquisition controller is connected with the output terminal of farmland attribute information sensor, the output interface of information acquisition controller links to each other with the input end of wireless communication module, and the output terminal of wireless communication module links to each other with wireless sensor network.
Above-mentioned information acquisition controller is microprocessor MSP430, wireless communication module is radio-frequency module CC2420, the A/D interface of microprocessor MSP430, IIC interface and generic interface are connected with the output terminal of farmland attribute information sensor, the SPI interface output of microprocessor MSP430 links to each other with the input end of radio-frequency module CC2420, and the output terminal of radio-frequency module CC2420 links to each other with wireless sensor network.
Above-mentioned described gateway node unit is by supply module, wireless communication module, embedded controller, wireless system GPRS sending module, supply module provides used whole energy for the embedded gateway node unit, the receiver module of wireless communication module and wireless sensor network wireless connections, the output of wireless communication module receiver module links to each other with the input end of embedded controller, the input end of wireless system GPRS sending module links to each other with the output terminal of embedded controller, and the output of wireless system GPRS sending module is with China Mobile's Intranet or Internet is wireless links to each other.
Above-mentioned supply module is sun power/wind energy supply module, wireless communication module is Receiver Module CC2420, embedded controller is microprocessor ARM9, wireless system GPRS sending module is global mobile communication/General Packet Radio System GPRS sending module, sun power/wind energy supply module provides used whole energy for the embedded gateway node unit, Receiver Module CC2420 and wireless sensor network wireless connections, the output terminal of Receiver Module CC2420 links to each other with the SPI interface of microprocessor ARM9, the GPRS sending module links to each other with the serial delivery outlet of microprocessor ARM9, and the GPRS sending module is with China Mobile's Intranet or Internet is wireless links to each other.
Above-mentioned remote data center unit is made up of GPRS receiver module and remote monitoring main frame, the GPRS receiver module links to each other with the serial ports of remote monitoring main frame, the GPRS sending module of remote data center unit is with China Mobile's Intranet or Internet is wireless links to each other, on the remote data center unit service data handle, the database supervisor.
The method for supervising of the farmland pollution areas supervisory system of wireless sensor network of the present invention is characterized in that comprising the steps:
1) the intelligence sensor node unit is realized farming district air nitrogen dioxide, carbon dioxide, and farmland parameter indexs such as the total zinc of soil, total nickel, total salt, total nitrogen, total phosphorus, fluoride and irrigation water coliform group count, total zinc, total selenium, nitrogen, phosphorus, fluoride are gathered;
2) the farmland parameter index data that collect of intelligence sensor node unit and send to for intelligence sensor node ID number near the gateway node unit, the gateway node unit gets off the data storage that collects, utilize the GPRS radio communication the farmland parameter index data that collect then, the IP address of intelligence sensor node ID number and gateway node sends to the remote data center unit;
3) the remote data center unit arrives the SQL2000 database to the data storage that sends over of gateway node unit, and the farmland parameter index that collects, handle the IP address of intelligence sensor node ID number and gateway node, shows in user interface;
4) when the farmland parameter index that collects during greater than the safety index of farmland system standard, system is according to the IP address of gateway and find corresponding intelligence sensor node intelligence sensor node ID number; The Polluted area position at place, intelligence sensor node unit and contamination index's parameter are shown.
The present invention is in conjunction with the actual conditions of farmland pollution areas information acquisition, proposition is based on the long-range farmland pollution areas supervisory system of GPRS and wireless sensor network, sensor node uses the data of various sensor acquisition farmland pollution areas, by wireless sensor network data are sent to gateway node, gateway node carries out radio communication by GPRS and long-range data processing centre (DPC) again, sensor node has adopted the process chip MSP430 of low-power consumption, can accurately gather the data of the data point in each zone by using wireless sensor network, the GPRS radio communication then can realize long-range monitoring, GPRS and wireless sensor network are used for the farmland pollution areas monitoring, realize overlength distance, accurate monitoring.The present invention is according to wireless sensor network wide application prospect on agricultural, foundation is based on the farmland pollution supervisory system of wireless sensor network, improve the automaticity of farmland pollution information acquisition and the degree of accuracy of data collection point, recombinant is suitable for remote data transmission technology GPRS, can be remotely to farmland pollution areas carry out on a large scale, long-range, real-time, accurate monitoring, be the farmland pollution areas supervisory system and the method for supervising thereof of wireless sensor network a kind of reasonable in design, convenient and practical.
Description of drawings
Fig. 1 is based on the structural drawing of the long-range farmland pollution areas supervisory system of wireless sensor network.
Fig. 2 is based on the process flow diagram of the long-range farmland pollution areas supervisory system of wireless sensor network.
Fig. 3 is a farmland pollution areas monitoring platform structural drawing.
Fig. 4 is intelligent sensing node structure figure.
Fig. 5 is the gateway node structural drawing.
Embodiment
Embodiment:
The present invention is based on wireless sensor network long-range farmland pollution areas supervisory system structural representation as shown in Figure 1, system mainly is made up of wireless sensor network intelligence sensor node unit 1, wireless sensor network embedded gateway node unit 2, remote data center unit 3.Described wireless sensor network intelligence sensor node unit 1 is made up of farmland attribute information sensor, microprocessor MSP430, CC2420 wireless communication module, the A/D interface of microprocessor MSP430, IIC interface and generic interface connect the output of farmland attribute information sensor, the SPI interface output of microprocessor MSP430 links to each other with the input of CC2420 wireless communication module, and the output of CC2420 wireless communication module links to each other with wireless sensor network; Wireless sensor network embedded gateway node unit 2 is by sun power/wind energy supply module, the CC2420 receiver module, microprocessor ARM9, global mobile communication/General Packet Radio System GPRS sending module is formed, sun power/wind energy supply module provides used whole energy for embedded gateway node unit 2, CC2420 receiver module and wireless sensor network wireless connections, the output of CC2420 receiver module links to each other with the SPI interface of microprocessor ARM9, the GPRS sending module links to each other with the serial delivery outlet of microprocessor ARM9, and the GPRS sending module of embedded gateway node unit 2 is with China Mobile's Intranet or Internet is wireless links to each other; Remote data center unit 3 is made up of GPRS sending/receiving module and data handling machine, the GPRS sending/receiving module links to each other with the serial ports of data handling machine, the GPRS sending module of remote data center unit 3 is with China Mobile's Intranet or Internet is wireless links to each other, on the remote data center unit 3 service data handle, the database supervisor.
Fig. 2 is the process flow diagram based on the long-range farmland pollution areas supervisory system of wireless sensor network.This system comprises following step:
1, the intelligent sensing node is gathered the farmland parameter index;
2, intelligence sensor node with the data that collect with and send to for ID number near gateway node;
3, gateway node utilizes the GPRS radio communication the farmland parameter index data that collect, and the IP address of intelligence sensor node ID number and gateway node sends to remote data center;
4, remote data center arrives the SQL2000 database to the data storage that sends over of gateway node, and data are handled;
5, whether the farmland parameter index that collects of interpretation is greater than the safety index of farmland system; If less than the safety index of farmland system, repeating step 1;
If 6 safety indexs greater than the farmland system show the regional location of intelligent sensing node and contamination index's parameter.
Fig. 3 is a farmland pollution areas monitoring platform structural drawing, is divided into the Monitoring Data acquisition system, remote data center two parts.The Monitoring Data acquisition system is made up of intelligence sensor node and gateway node two parts.The Monitoring Data acquisition system adopts sensor network technique, the data fusion technology, the GPRS wireless communication technology, utilize the intelligent sensing node to realize, the collection of parameter indexs such as the total zinc of soil, total nickel, total salt, total nitrogen, total phosphorus, fluoride and irrigation water coliform group count, total zinc, total selenium, nitrogen, phosphorus, fluoride to farming district air nitrogen dioxide, carbon dioxide.All nodes are collected the data final route to gateway node, by gateway node total data is forwarded to remote data center by GPRS wireless communication transmissions mode at last.
Remote data center utilizes infotech to formulate or continue to use unified data standard and metadata standard, uniform data transmission mode, host-host protocol and coded system, structure is realized reception, storage and the space-time analysis of data based on the exploitation of VS2005.NET, with the data integration and the management system of SQL2000 as the data access basis.
Fig. 4 is intelligent sensing node structure figure, and it is mainly by the microprocessor MSP430 single-chip microcomputer of low-power consumption, less radio-frequency CC2420 module, and the sensor probe unit is formed with power supply unit 4 parts.
The MSP430F microcontroller of microcontroller circuit TI company wherein, MSP430F is 16 risc instruction set single-chip microcomputers of super low-power consumption Flash type of the up-to-date release of American TI Company, is the high single-chip microcomputer of a cost performance; Radio-frequency communication module adopts less radio-frequency CC2420 module.It adopts the SmartRF03 technology of Chipcon company, uses the CMOS explained hereafter, and operating voltage is low, energy consumption is low, volume is little, has characteristics such as output signal strength and transmitting-receiving frequency be able to programme.This chip only needs crystal oscillator and outer members seldom such as load capacitance, I/O matched element and power supply coupling capacitor to get final product operate as normal, can guarantee the validity and the reliability of short haul connection, and its maximum transmitting-receiving speed is up to 250kbps; The sensor probe unit can realize that to farming district air nitrogen dioxide, carbon dioxide farmland parameter indexs such as the total zinc of soil, total nickel, total salt, total nitrogen, total phosphorus, fluoride and irrigation water coliform group count, total zinc, total selenium, nitrogen, phosphorus, fluoride are gathered.
Fig. 5 is the gateway node structural drawing, and it is by processor S3C2410, GPRS module, less radio-frequency CC2420 module, compositions such as embedded database.
Wherein processor selection have a resource on the abundant sheet ARM9 microprocessor S3C2410 be core, this chip is based on the ARM920T kernel, adopt 5 level production lines and Harvard structure, adopt 0.18 μ m CMOS standard block structure, maximum operation frequency can reach 203MHz, not only performance is good, low in energy consumption, integrated level is high, and resource is also very abundant in the sheet.
The GPRS radio communication connects GPRS communication module SiemensMC35i by an asynchronous serial port, and realization GPRS remote data communication is finished the design of Drive Layer, protocol layer and application layer from bottom to top.Choosing when the configuration embedded Linux kernel supports serial equipment to realize the driving to the MC35i module; Embedded Linux kernel is supported PPP (Point to Point Protocol) agreement and ICP/IP protocol, chooses when the compiling linux kernel and supports these options; Application layer is after network connects foundation, and specific implementation is transmitted the function of data to remote data center.Also can select short message mode or GPRS mode to carry out the transmission of information simultaneously according to user's requirement.
Embedded database is placed in the Nand Flash, support two file system formats, with combining of read-only file system cramfs and read-write file system yaffs, cramfs is used for storing kernel and system file, the data that the read-write file system stores of yaffs is gathered can guarantee the integrality of data behind the system cut-off like this.When the intelligent sensing node when gateway node is uploaded data, system merges data, like this can reduce data redundancy, improves the accuracy of data and the loss of saving energy.
Claims (8)
1. the farmland pollution areas supervisory system of a wireless sensor network, it is characterized in that including intelligence sensor node unit (1), gateway node unit (2), remote data center unit (3), the wherein output terminal wireless connections of the input end of gateway node unit (2) and intelligence sensor node unit (1), the input end wireless connections of the output terminal of gateway node unit (2) and remote data center unit (3).
2. the farmland pollution areas supervisory system of wireless sensor network according to claim 1, it is characterized in that above-mentioned intelligence sensor node unit (1) is wireless sensor network intelligence sensor node unit, gateway node unit (2) are wireless sensor network embedded gateway node unit.
3. the farmland pollution areas supervisory system of wireless sensor network according to claim 1 and 2, it is characterized in that above-mentioned intelligence sensor node unit (1) is made up of farmland attribute information sensor, information acquisition controller, wireless communication module, the input interface of information acquisition controller is connected with the output terminal of farmland attribute information sensor, the output interface of information acquisition controller links to each other with the input end of wireless communication module, and the output terminal of wireless communication module links to each other with wireless sensor network.
4. the farmland pollution areas supervisory system of wireless sensor network according to claim 3, it is characterized in that above-mentioned information acquisition controller is microprocessor MSP430, wireless communication module is radio-frequency module CC2420, the A/D interface of microprocessor MSP430, IIC interface and generic interface are connected with the output terminal of farmland attribute information sensor, the SPI interface output of microprocessor MSP430 links to each other with the input end of radio-frequency module CC2420, and the output terminal of radio-frequency module CC2420 links to each other with wireless sensor network.
5. the farmland pollution areas supervisory system of wireless sensor network according to claim 3, it is characterized in that above-mentioned described gateway node unit (2) is by supply module, wireless communication module, embedded controller, wireless system GPRS sending module, supply module is that embedded gateway node unit (2) provides used whole energy, the receiver module of wireless communication module and wireless sensor network wireless connections, the output of wireless communication module receiver module links to each other with the input end of embedded controller, the input end of wireless system GPRS sending module links to each other with the output terminal of embedded controller, and the output of wireless system GPRS sending module is with China Mobile's Intranet or Internet is wireless links to each other.
6. the farmland pollution areas supervisory system of wireless sensor network according to claim 5, it is characterized in that above-mentioned supply module is sun power/wind energy supply module, wireless communication module is Receiver Module CC2420, embedded controller is microprocessor ARM9, wireless system GPRS sending module is global mobile communication/General Packet Radio System GPRS sending module, sun power/wind energy supply module is that embedded gateway node unit (2) provides used whole energy, Receiver Module CC2420 and wireless sensor network wireless connections, the output terminal of Receiver Module CC2420 links to each other with the SPI interface of microprocessor ARM9, the GPRS sending module links to each other with the serial delivery outlet of microprocessor ARM9, and the GPRS sending module is with China Mobile's Intranet or Internet is wireless links to each other.
7. the farmland pollution areas supervisory system of wireless sensor network according to claim 1, it is characterized in that above-mentioned remote data center unit (3) is made up of GPRS receiver module and remote monitoring main frame, the GPRS receiver module links to each other with the serial ports of remote monitoring main frame, the GPRS sending module of remote data center unit (3) is with China Mobile's Intranet or Internet is wireless links to each other, and remote data center unit (3) go up that service data is handled, the database supervisor.
8. the method for supervising according to the farmland pollution areas supervisory system of the described wireless sensor network of claim 1 is characterized in that comprising the steps:
1) realize farming district air nitrogen dioxide, carbon dioxide intelligence sensor node unit (1), and farmland parameter indexs such as the total zinc of soil, total nickel, total salt, total nitrogen, total phosphorus, fluoride and irrigation water coliform group count, total zinc, total selenium, nitrogen, phosphorus, fluoride are gathered;
2) intelligence sensor node unit (1) farmland parameter index data of collecting and send to for intelligence sensor node ID number near gateway node unit (2), gateway node unit (2) gets off the data storage that collects, utilize the GPRS radio communication the farmland parameter index data that collect then, the IP address of intelligence sensor node ID number and gateway node sends to remote data center unit (3);
3) remote data center unit (3) arrive the SQL2000 database to the data storage that sends over of gateway node unit (2), and the farmland parameter index that collects, handle the IP address of intelligence sensor node ID number and gateway node, shows in user interface;
4) when the farmland parameter index that collects during greater than the safety index of farmland system standard, system is according to the IP address of gateway and find corresponding intelligence sensor node intelligence sensor node ID number; Polluted area position and contamination index's parameter at place, intelligence sensor node unit (1) are shown.
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| CN102291738A (en) * | 2011-08-11 | 2011-12-21 | 大连理工大学 | Data monitoring system based on wireless sensor network and gateway equipment thereof |
| CN102411352A (en) * | 2011-11-02 | 2012-04-11 | 北京必创科技有限公司 | Wireless analog control method, device and system |
| CN102436237A (en) * | 2011-11-02 | 2012-05-02 | 北京必创科技有限公司 | Watering heat tracing control system and watering heat tracing control method |
| CN103093389A (en) * | 2013-01-15 | 2013-05-08 | 苏州迪芬德物联网科技有限公司 | Agricultural product production management system based on network |
| CN103731440A (en) * | 2012-10-10 | 2014-04-16 | 南京理工大学 | Near-infrared crop growth information real-time monitoring and crop disaster prediction wireless system |
| CN104122822A (en) * | 2014-07-25 | 2014-10-29 | 成都蓝宇科维科技有限公司 | GPRS (General Packet Radio Service)-based environment data exchanger |
| CN105163404A (en) * | 2015-08-31 | 2015-12-16 | 胡国旺 | Wireless sensor network node |
| CN105391783A (en) * | 2015-11-26 | 2016-03-09 | 郑州市物联网产业技术创新研究院有限公司 | Agricultural Internet of Things system based on metropolitan area network |
| CN106027674A (en) * | 2016-07-07 | 2016-10-12 | 苏州大学 | Technology architecture of "Internet & smart manufacturing" |
| CN106453469A (en) * | 2016-03-22 | 2017-02-22 | 北京科技大学 | Self-powered Internet of Things structure health monitoring system with low power consumption |
| CN106448121A (en) * | 2016-12-12 | 2017-02-22 | 北京强度环境研究所 | Wireless sensor |
| CN106569430A (en) * | 2016-11-16 | 2017-04-19 | 江苏智石科技有限公司 | Soil heavy metal pollution detection and control system |
| CN107105396A (en) * | 2017-05-18 | 2017-08-29 | 深圳众厉电力科技有限公司 | Farmland pollution area following system by wireless sensor network |
| CN107801169A (en) * | 2017-10-20 | 2018-03-13 | 潘柏霖 | A kind of farmland pollution monitoring system based on wireless sensor network |
| CN107835504A (en) * | 2017-11-01 | 2018-03-23 | 韦彩霞 | A kind of farmland ecological environment information intelligent acquisition system |
| CN109218342A (en) * | 2017-06-29 | 2019-01-15 | 上海金艺检测技术有限公司 | Equipment operating data acquisition processing system based on intelligence sensor |
| CN113923221A (en) * | 2021-10-28 | 2022-01-11 | 中国水利水电科学研究院 | Agricultural non-point source pollution remote monitoring system and monitoring method |
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| CN102411352A (en) * | 2011-11-02 | 2012-04-11 | 北京必创科技有限公司 | Wireless analog control method, device and system |
| CN102436237A (en) * | 2011-11-02 | 2012-05-02 | 北京必创科技有限公司 | Watering heat tracing control system and watering heat tracing control method |
| CN103731440B (en) * | 2012-10-10 | 2017-10-17 | 南京理工大学 | Near-infrared crop growth information is monitored and its hazard prediction wireless system in real time |
| CN103731440A (en) * | 2012-10-10 | 2014-04-16 | 南京理工大学 | Near-infrared crop growth information real-time monitoring and crop disaster prediction wireless system |
| CN103093389A (en) * | 2013-01-15 | 2013-05-08 | 苏州迪芬德物联网科技有限公司 | Agricultural product production management system based on network |
| CN104122822A (en) * | 2014-07-25 | 2014-10-29 | 成都蓝宇科维科技有限公司 | GPRS (General Packet Radio Service)-based environment data exchanger |
| CN105163404A (en) * | 2015-08-31 | 2015-12-16 | 胡国旺 | Wireless sensor network node |
| CN105391783A (en) * | 2015-11-26 | 2016-03-09 | 郑州市物联网产业技术创新研究院有限公司 | Agricultural Internet of Things system based on metropolitan area network |
| CN106453469A (en) * | 2016-03-22 | 2017-02-22 | 北京科技大学 | Self-powered Internet of Things structure health monitoring system with low power consumption |
| CN106027674A (en) * | 2016-07-07 | 2016-10-12 | 苏州大学 | Technology architecture of "Internet & smart manufacturing" |
| CN106569430A (en) * | 2016-11-16 | 2017-04-19 | 江苏智石科技有限公司 | Soil heavy metal pollution detection and control system |
| CN106448121A (en) * | 2016-12-12 | 2017-02-22 | 北京强度环境研究所 | Wireless sensor |
| CN107105396A (en) * | 2017-05-18 | 2017-08-29 | 深圳众厉电力科技有限公司 | Farmland pollution area following system by wireless sensor network |
| CN109218342A (en) * | 2017-06-29 | 2019-01-15 | 上海金艺检测技术有限公司 | Equipment operating data acquisition processing system based on intelligence sensor |
| CN107801169A (en) * | 2017-10-20 | 2018-03-13 | 潘柏霖 | A kind of farmland pollution monitoring system based on wireless sensor network |
| CN107835504A (en) * | 2017-11-01 | 2018-03-23 | 韦彩霞 | A kind of farmland ecological environment information intelligent acquisition system |
| CN113923221A (en) * | 2021-10-28 | 2022-01-11 | 中国水利水电科学研究院 | Agricultural non-point source pollution remote monitoring system and monitoring method |
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