CN111679608A - Wetland ecological environment monitoring system based on NB-IoT - Google Patents
Wetland ecological environment monitoring system based on NB-IoT Download PDFInfo
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- G05B19/00—Programme-control systems
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Abstract
The invention provides a wetland ecological environment monitoring system based on NB-IoT, which comprises a plurality of NB-IoT terminal nodes, NB-IoT base stations, NB-IoT cloud platforms and a monitoring end, wherein the NB-IoT terminal nodes are connected with the NB-IoT base stations through the NB-IoT cloud platforms; the NB-IoT base station receives the monitoring data of the NB-IoT terminal node and forwards the monitoring data to the NB-IoT cloud platform; the monitoring end realizes remote monitoring and control through the NB-IoT cloud platform; each NB-IoT terminal node comprises an acquisition module, a communication module and a control module which are connected in sequence; the acquisition module is used for acquiring the monitoring data; the control module is used for receiving and processing the monitoring data; and the communication module is used for acquiring the monitoring data processed by the control module and sending the monitoring data to the NB-IoT base station. According to the wetland ecological environment monitoring system based on the NB-IoT, the wide coverage characteristic of the NB-IoT network is utilized, and the sensor data primary network access architecture is built through the NB-IoT terminal nodes, so that the system failure rate can be reduced.
Description
Technical Field
The invention relates to the technical field of wetland environment management, in particular to a wetland ecological environment monitoring system based on NB-IoT.
Background
Definition of the wetland convention in iram sael in 1971: "wetland" means a natural or artificial, permanent or temporary wetland, peat or water area with or without a stationary or flowing body of fresh, brackish or salt water, including water areas with a depth of less than 6m at low tide. At the same time, it is stipulated that: "may include river and lake coasts adjacent to the wetland, coastal areas, and islands of wetland extent or areas with water depth of no more than 6m at low tide". The wetland, the forest and the ocean are called as three ecological systems of the earth together, play an important role in conserving water sources, promoting silt and making land, degrading pollutants, adjusting climate, protecting biological diversity and providing production and living resources for human beings, have higher ecological benefit, social benefit and economic benefit, and are known as 'the kidney of the earth'. However, with the rapid development of urbanization, industrialization and coastal economy in recent years, the wetland ecological environment is greatly influenced by human activities. Therefore, important wetland monitoring work is important to be carried out nationwide, and the traditional artificial collection method which needs to consume a large amount of manpower and material resources can be avoided only by comprehensive crossing of multiple disciplines, so that various problems of wetland monitoring, protection, recovery and reconstruction, sustainable development and utilization and the like are really solved.
At present, most of the technical schemes of the existing wetland ecological environment monitoring systems adopt a method of combining a Wireless Sensor Network (WSN) and a General Packet Radio Service (GPRS), and mainly comprise terminal sensor nodes, a GPRS gateway and upper computer software. The data of the terminal sensor node of the WSN + GPRS architecture needs to be sent to a GPRS gateway through a Zigbee network, so that the power consumption of a GPRS network module is large; in communication, the network is a secondary network architecture, an operator is a primary network, Zigbee is a secondary local area network, and the network architecture becomes complex, so that the data transmission delay is large, the efficiency is low, and the system failure rate is increased.
Disclosure of Invention
In order to solve the problems, the invention provides a wetland ecological environment monitoring system based on NB-IoT, which utilizes the wide coverage characteristic of an NB-IoT network to build a sensor data primary network access architecture through an NB-IoT terminal node, and can reduce the system failure rate.
In order to achieve the above purpose, the invention adopts a technical scheme that:
a wetland ecological environment monitoring system based on NB-IoT comprises a plurality of NB-IoT terminal nodes, NB-IoT base stations, NB-IoT cloud platforms and a monitoring end; the NB-IoT base station receives the monitoring data of the NB-IoT terminal node and forwards the monitoring data to the NB-IoT cloud platform; the monitoring end realizes remote monitoring and control on the wetland ecological environment through the NB-IoT cloud platform; each NB-IoT terminal node comprises an acquisition module, a communication module and a control module; the acquisition module is used for acquiring the monitoring data; the control module is connected with the acquisition module and used for receiving and processing the monitoring data; and the communication module is connected with the control module and used for acquiring the monitoring data processed by the control module and sending the monitoring data to the NB-IoT base station.
Further, the acquisition module comprises a temperature and humidity sensor, an illumination sensor and a position module, wherein the temperature and humidity sensor adopts an SHT35 digital temperature and humidity sensor module, the temperature and humidity sensor is output through an I2℃ interface, the humidity range is 0-100% RH, the humidity precision is +/-1.5 RH, the temperature range is-40- +125 ℃, and the temperature precision is +/-0.2 ℃; the illumination sensor adopts a GY-302BH1750 digital illumination sensor module for measuring illumination intensity, an I2C interface is used for outputting, the measurement range is 1-65535 Lux, and the measurement precision is +/-20%; the position module adopts an L70-R mini GPS module for positioning, the serial port outputs NMEA-0183 standard information, and the error of the horizontal position is less than 2.5 m.
Further, each NB-IoT terminal node further includes a storage module connected to the control module, and the storage module is configured to store the monitoring data.
Further, the monitoring data includes water temperature, soil temperature and humidity, air temperature and humidity, illumination intensity and the NB-IoT terminal node location.
Further, the control module adopts an MKL36Z64VLH4 chip of an ARM Cortex-M0+ core.
Further, the communication module adopts an ME3616 communication module.
Further, the monitoring terminal is used for adding and deleting the NB-IoT terminal node, displaying the monitoring data and setting a data interface.
Further, the monitoring end is a monitoring program, and the monitoring program is a Web webpage, a WeChat applet or a mobile phone APP.
Compared with the prior art, the technical scheme of the invention has the following advantages:
according to the wetland ecological environment monitoring system based on the NB-IoT, the wide coverage characteristic of the NB-IoT network is utilized, and the sensor data primary network access architecture is built through the NB-IoT terminal nodes, so that the system failure rate can be reduced; the monitoring data is directly transmitted to a human-computer interaction system of the Internet through a base station of an operator without adding a gateway, and the system has the characteristics of large connection, wide coverage, deep penetration, low cost and low power consumption; the on-site ecological environment monitoring system is stable and reliable in communication, the data precision meets the requirements, and the established wetland ecological environment basic data can be further used for evaluating the wetland health condition and providing a basis for wetland protection and ecological restoration of degraded wetland.
Drawings
The technical solution and the advantages of the present invention will be apparent from the following detailed description of the embodiments of the present invention with reference to the accompanying drawings.
Fig. 1 is a structural diagram of a wetland ecological environment monitoring system based on NB-IoT according to an embodiment of the present invention;
fig. 2 is a diagram illustrating an NB-IoT end node structure according to an embodiment of the present invention;
fig. 3 is a diagram illustrating the NB-IoT terminal node hardware components according to an embodiment of the present invention;
FIG. 4 shows a GEC package and leads according to an embodiment of the invention;
FIG. 5 shows a GEC communication module circuit according to an embodiment of the present invention;
fig. 6 shows a GEC antenna matching circuit according to an embodiment of the invention;
fig. 7 is a flowchart of an NB-IoT end node process according to an embodiment of the present invention;
FIG. 8 illustrates a UECom component usage flow according to an embodiment of the present invention;
FIG. 9 is a flow chart of the 8CS-Monitor according to an embodiment of the present invention;
FIG. 10 is a flow chart illustrating HCICom class usage according to an embodiment of the present invention;
FIG. 11 is a flow chart of the US-Monitor implementation according to an embodiment of the present invention;
FIG. 12 is a timing diagram illustrating Web page data access according to one embodiment of the present invention;
FIG. 13 is a timing diagram illustrating APP data access in accordance with one embodiment of the present invention;
FIG. 14 is a diagram of a terminator node arrangement in accordance with one embodiment of the present invention;
FIG. 15 illustrates APP testing in accordance with one embodiment of the present invention;
fig. 16 shows a wetland data curve according to an embodiment of the invention.
The parts in the figure are numbered as follows:
the system comprises 1-NB-IoT terminal nodes, 11-acquisition modules, 12-communication modules, 13-control modules, 14-storage modules, 2-NB-IoT base stations, 3-NB-IoT cloud platforms and 4-monitoring terminals.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The embodiment provides a wetland ecological environment monitoring system based on NB-IoT, as shown in FIG. 1, comprising: the system comprises a plurality of NB-IoT terminal nodes 1, NB-IoT base stations 2, NB-IoT cloud platforms 3 and a monitoring terminal 4. The NB-IoT base station 2 receives the monitoring data of the NB-IoT terminal node 1 and then forwards the monitoring data to the NB-IoT cloud platform 3, and the monitoring terminal 4 realizes remote monitoring and control on wetland ecological environment through the NB-IoT cloud platform 3.
As shown in fig. 2 to 3, each NB-IoT terminal node 1 includes an acquisition module 11, a communication module 12, a storage module 14, and a control module 13. The acquisition module 11 is configured to acquire the monitoring data, the control module 13 is connected to the acquisition module 11 and configured to receive and process the monitoring data, and the communication module is connected to the control module 13 and configured to acquire the monitoring data processed by the control module 13 and send the monitoring data to the NB-IoT base station 2. The storage module 14 is connected to the control module 13, and the storage module 14 is configured to store the monitoring data.
The acquisition module 11 comprises a temperature and humidity sensor, an illumination sensor and a position module, wherein the temperature and humidity sensor adopts an SHT35 digital temperature and humidity sensor module, the temperature and humidity sensor is output through an I2℃ interface, the humidity range is 0-100% RH, the humidity precision is +/-1.5 RH, the temperature range is-40-125 ℃, and the temperature precision is +/-0.2 ℃; the illumination sensor adopts a GY-302BH1750 digital illumination sensor module for measuring illumination intensity, an I2C interface is used for outputting, the measurement range is 1-65535 Lux, and the measurement precision is +/-20%; the position module adopts an L70-R mini GPS module for positioning, the serial port outputs NMEA-0183 standard information, and the error of the horizontal position is less than 2.5 m. The monitoring data comprise water temperature, soil temperature and humidity, air temperature and humidity, illumination intensity and the position of the NB-IoT terminal node 1. The control module 13 is a General Embedded Computer (GEC), and the control module 13 adopts an MKL36Z64VLH4 chip of an ARM Cortex-M0+ core. The communication module 12 adopts an ME3616 communication module 12. The GEC has a built-in Basic Input Output System (BIOS), and can perform hardware test when powered on, the package and the pins of the BIOS are shown in fig. 4, the circuit of the communication module 12 is shown in fig. 5, and the antenna matching circuit is shown in fig. 6.
The monitoring terminal 4 is used for adding and deleting the NB-IoT terminal node 1, displaying the monitoring data, and setting a data interface. The monitoring terminal 4 is a monitoring program, and the monitoring program is a Web webpage, a WeChat applet or a mobile phone APP.
The software design mainly comprises NB-IoT terminal node (UE)1 software, NB-IoT cloud platform (CS)3 software and monitoring end (HCI)4 software, wherein UECom components are required for communication of the NB-IoT terminal node 1 and the NB-IoT cloud platform 3, CS-Monitor programs in cloud servers are required for communication of the NB-IoT terminal node 1 and the monitoring end 4, communication interface types HCICom are required for communication of the NB-IoT cloud platform 3 and the monitoring end 4, a PC end accesses data through the US-Monitor programs or Web pages, and a mobile phone end accesses data through Android APP.
After the system is powered on, as shown in fig. 7, the NB-IoT terminal node 1 first executes the BIOS and then turns to the user program. The UECom component is a bridge for communication between the UE and the MPO, supports low-power-consumption communication, adopts a CRC16 verification algorithm to ensure data integrity, forms a component layer 'self encryption and decryption' by HCICom types at the UECom component and the PC end, enhances the security of data transmission, and has the use flow as shown in FIG. 8.
The CS-Monitor program in CS is a communication bridge between UE and HCI, and is written in C # language, and the main form execution flow is shown in fig. 9.
The HCI software selects a Microsoft SQL Server database to store related data. The external communication of the cloud server listening program, the cloud server forwarding program and the user server listening program all use the HCICom-like method, and the using flow is shown in fig. 10. The US-Monitor program is written in C # language based on the cloud server to receive and send back data, and the execution flow is shown in fig. 11.
The data access of the Web page is a process of interaction of the browser, the Web server and the DNS server, and the main page start timing of the data access is as shown in fig. 12.
The APP operation enters a real-time page, the data of the terminal can be intercepted in real time by selecting the International Mobile Subscriber Identity (IMSI) of the UE to be intercepted, and all data of the UE can also be inquired, the real-time data access flow of the APP is shown in FIG. 13, and after the flow is executed, the APP application program enters a state of waiting for the UE to resend the real-time data.
In order to test the communication stability and reliability of the wetland ecological environment monitoring system, an NB-IoT terminal node (UE) sends a data packet to a Cloud Server (CS) in a framing mode once every 2 minutes, the data packet is sent 360 times every day, the test is carried out for 5 days, the data packet is received 358.6 times every day on average, the average packet loss rate is less than 0.4%, and the system stability requirement can be completely met. The sensors are calibrated by an instrument with a higher precision grade in a laboratory, so that the precision of the sensors meets the design requirement, then, wetland parks of the university of agriculture and forestry of Fujian are selected for field testing, and the arrangement condition of terminal sensor nodes is shown in figure 14. The Android APP test real-time query function is shown in fig. 15.
The data of the experimental monitoring is shown in fig. 16, and the test result shows that the system can meet the data acquisition, transmission, storage and query requirements of wetland ecological environment monitoring, and can realize the function of remotely monitoring the wetland ecological environment.
The above description is only an exemplary embodiment of the present invention, and not intended to limit the scope of the present invention, and all equivalent structures or equivalent processes that are transformed by the content of the present specification and the attached drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (8)
1. The wetland ecological environment monitoring system based on the NB-IoT is characterized by comprising a plurality of NB-IoT terminal nodes (1), NB-IoT base stations (2), an NB-IoT cloud platform (3) and a monitoring end (4): the NB-IoT base station (2) receives the monitoring data of the NB-IoT terminal node (1) and forwards the monitoring data to the NB-IoT cloud platform (3); the monitoring terminal (4) realizes remote monitoring and control through the NB-IoT cloud platform (3); wherein each NB-IoT terminal node (1) comprises an acquisition module (11), a communication module (12) and a control module (13);
the acquisition module (11) is used for acquiring the monitoring data;
the control module (13) is connected with the acquisition module (11) and is used for receiving and processing the monitoring data; and
the communication module is connected with the control module (13) and is used for acquiring the monitoring data processed by the control module (13) and sending the monitoring data to the NB-IoT base station (2).
2. The wetland ecological environment monitoring system based on NB-IoT (NB-IoT) as claimed in claim 1, wherein the collection module (11) comprises a temperature and humidity sensor, an illumination sensor and a position module, wherein the temperature and humidity sensor adopts an SHT35 digital temperature and humidity sensor module, and is output through an I2℃ interface, the humidity range is 0-100% RH, the humidity precision is +/-1.5 RH, the temperature range is-40- +125 ℃, and the temperature precision is +/-0.2 ℃; the illumination sensor adopts a GY-302BH1750 digital illumination sensor module for measuring illumination intensity, an I2C interface is used for outputting, the measurement range is 1-65535 Lux, and the measurement precision is +/-20%; the position module adopts an L70-R mini GPS module for positioning, the serial port outputs NMEA-0183 standard information, and the error of the horizontal position is less than 2.5 m.
3. The NB-IoT based wetland ecosystem monitoring system according to claim 1, wherein each NB-IoT terminal node (1) further comprises a storage module (14) connected to the control module (13), the storage module (14) being configured to store the monitoring data.
4. The NB-IoT based wetland ecosystem monitoring system according to claim 1, wherein the monitoring data includes water temperature, soil humiture, air humiture, illumination intensity and the NB-IoT terminal node (1) location.
5. The NB-IoT based wetland ecological environment monitoring system according to claim 1, characterized in that the control module (13) employs an MKL36Z64VLH4 chip with ARM Cortex-M0+ kernel.
6. The NB-IoT based wetland ecological environment monitoring system according to claim 1, characterized in that the communication module (12) employs an ME3616 communication module (12).
7. The NB-IoT based wetland ecological environment monitoring system according to claim 1, characterized in that the monitoring end (4) is used for the NB-IoT terminal node (1) addition and deletion, the monitoring data presentation and data interface setup.
8. The NB-IoT based wetland ecological environment monitoring system according to claim 7, characterized in that the monitoring terminal (4) is a monitoring program, and the monitoring program is a Web page, a WeChat applet or a cell phone APP.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112611795A (en) * | 2020-12-28 | 2021-04-06 | 北京首创大气环境科技股份有限公司 | TVOC monitoring method based on TVOC monitor |
| CN112833948A (en) * | 2021-01-05 | 2021-05-25 | 长安大学 | Water and soil conservation monitoring system based on NB-IoT |
| CN115086169A (en) * | 2022-05-23 | 2022-09-20 | 宿迁学院产业技术研究院 | Remote program updating method and system based on 5G NR |
Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1417986A (en) * | 2001-11-06 | 2003-05-14 | 华为技术有限公司 | Business intercommunication test method and device for asynchronous transferring mode exchange |
| CN205419929U (en) * | 2016-03-02 | 2016-08-03 | 河南工程学院 | Undercurrent constructed wetland sewage treatment system based on cell -phone APP remote control |
| CN108737985A (en) * | 2018-05-29 | 2018-11-02 | 广州巨时信息科技有限公司 | Reading intelligent agriculture monitoring system based on NB-IoT |
| CN109100966A (en) * | 2018-07-11 | 2018-12-28 | 西南科技大学 | A kind of Atmosphere Environment Monitoring System Bases and its monitoring method based on isomery Internet of Things |
| CN208850076U (en) * | 2018-11-21 | 2019-05-10 | 天津华春智慧能源科技发展有限公司 | NB-IoT-based indoor environment monitoring system |
| CN110096042A (en) * | 2019-05-08 | 2019-08-06 | 北京正和恒基滨水生态环境治理股份有限公司 | Artificial swamp monitors methods of exhibiting and system on-line |
| CN110119282A (en) * | 2019-05-14 | 2019-08-13 | 苏州大学 | A kind of internet-of-things terminal and system based on general-purpose built-in type computer |
| CN110446175A (en) * | 2019-08-20 | 2019-11-12 | 浙江弄潮儿智慧科技有限公司 | A kind of Wetland Environment monitoring system based on Internet of Things |
| CN110456698A (en) * | 2019-07-31 | 2019-11-15 | 西安理工大学 | A kind of intelligent forest weather monitoring system based on NB-IOT |
| CN110457053A (en) * | 2019-07-02 | 2019-11-15 | 苏州大学 | A kind of terminal remote automatic update system based on NB-IoT |
| CN110941426A (en) * | 2019-12-02 | 2020-03-31 | 苏州金蒲芦物联网技术有限公司 | NB-IoT terminal-oriented graphical programming system |
| CN111142436A (en) * | 2019-12-26 | 2020-05-12 | 南大（常熟）研究院有限公司 | Wetland park ecological environment monitoring management system |
-
2020
- 2020-06-16 CN CN202010547852.8A patent/CN111679608A/en active Pending
Patent Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1417986A (en) * | 2001-11-06 | 2003-05-14 | 华为技术有限公司 | Business intercommunication test method and device for asynchronous transferring mode exchange |
| CN205419929U (en) * | 2016-03-02 | 2016-08-03 | 河南工程学院 | Undercurrent constructed wetland sewage treatment system based on cell -phone APP remote control |
| CN108737985A (en) * | 2018-05-29 | 2018-11-02 | 广州巨时信息科技有限公司 | Reading intelligent agriculture monitoring system based on NB-IoT |
| CN109100966A (en) * | 2018-07-11 | 2018-12-28 | 西南科技大学 | A kind of Atmosphere Environment Monitoring System Bases and its monitoring method based on isomery Internet of Things |
| CN208850076U (en) * | 2018-11-21 | 2019-05-10 | 天津华春智慧能源科技发展有限公司 | NB-IoT-based indoor environment monitoring system |
| CN110096042A (en) * | 2019-05-08 | 2019-08-06 | 北京正和恒基滨水生态环境治理股份有限公司 | Artificial swamp monitors methods of exhibiting and system on-line |
| CN110119282A (en) * | 2019-05-14 | 2019-08-13 | 苏州大学 | A kind of internet-of-things terminal and system based on general-purpose built-in type computer |
| CN110457053A (en) * | 2019-07-02 | 2019-11-15 | 苏州大学 | A kind of terminal remote automatic update system based on NB-IoT |
| CN110456698A (en) * | 2019-07-31 | 2019-11-15 | 西安理工大学 | A kind of intelligent forest weather monitoring system based on NB-IOT |
| CN110446175A (en) * | 2019-08-20 | 2019-11-12 | 浙江弄潮儿智慧科技有限公司 | A kind of Wetland Environment monitoring system based on Internet of Things |
| CN110941426A (en) * | 2019-12-02 | 2020-03-31 | 苏州金蒲芦物联网技术有限公司 | NB-IoT terminal-oriented graphical programming system |
| CN111142436A (en) * | 2019-12-26 | 2020-05-12 | 南大（常熟）研究院有限公司 | Wetland park ecological environment monitoring management system |
Non-Patent Citations (5)
| Title |
|---|
| 刘辉: "NB-IoT模组技术的水质远程监测终端设计", 《单片机与嵌入式***应用》, no. 3 * |
| 吴薇等: "基于NB-IoT和微信小程...动实时温湿度监控***的设计", 《吉林师范大学学报（自然科学版）》, vol. 39, no. 4 * |
| 朱明清等: "湿地生态环境监测***设计与实现", vol. 36, no. 10, pages 121 - 123 * |
| 陈成: "NB-IoT终端软件远程自动更新技术研究及应用", 《中国优秀硕士学位论文全文数据库 信息科技辑》, pages 28 - 48 * |
| 陈成: "NB-IoT终端软件远程自动更新技术研究及应用", 《信息科技辑》 * |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112611795A (en) * | 2020-12-28 | 2021-04-06 | 北京首创大气环境科技股份有限公司 | TVOC monitoring method based on TVOC monitor |
| CN112833948A (en) * | 2021-01-05 | 2021-05-25 | 长安大学 | Water and soil conservation monitoring system based on NB-IoT |
| CN115086169A (en) * | 2022-05-23 | 2022-09-20 | 宿迁学院产业技术研究院 | Remote program updating method and system based on 5G NR |
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