CN110708680A - Distributed water source monitoring system - Google Patents
Distributed water source monitoring system Download PDFInfo
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- CN110708680A CN110708680A CN201911010361.3A CN201911010361A CN110708680A CN 110708680 A CN110708680 A CN 110708680A CN 201911010361 A CN201911010361 A CN 201911010361A CN 110708680 A CN110708680 A CN 110708680A
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- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 title claims abstract description 65
- 238000012544 monitoring process Methods 0.000 title claims abstract description 41
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- 238000004891 communication Methods 0.000 claims abstract description 21
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- 235000011034 Rubus glaucus Nutrition 0.000 claims abstract description 20
- 235000009122 Rubus idaeus Nutrition 0.000 claims abstract description 20
- 238000012806 monitoring device Methods 0.000 claims abstract description 8
- 208000034699 Vitreous floaters Diseases 0.000 description 12
- 238000007667 floating Methods 0.000 description 6
- 238000000034 method Methods 0.000 description 6
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/30—Services specially adapted for particular environments, situations or purposes
- H04W4/38—Services specially adapted for particular environments, situations or purposes for collecting sensor information
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/02—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP]
- H04L67/025—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP] for remote control or remote monitoring of applications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
- H04L67/1097—Protocols in which an application is distributed across nodes in the network for distributed storage of data in networks, e.g. transport arrangements for network file system [NFS], storage area networks [SAN] or network attached storage [NAS]
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
- H04L67/125—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks involving control of end-device applications over a network
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/70—Services for machine-to-machine communication [M2M] or machine type communication [MTC]
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/80—Services using short range communication, e.g. near-field communication [NFC], radio-frequency identification [RFID] or low energy communication
Abstract
The invention relates to the technical field of water quality detection, in particular to a distributed water source monitoring system, which comprises a water quality detection device, a floater monitoring device, a communication device, a power supply device and a display device; the water quality detection device comprises a turbidity sensor, a pH value sensor, a temperature sensor, a TDS sensor and a core controller; the floater monitoring device comprises a camera and a raspberry pie; the communication device comprises Zigbee serial port communication and Nb-IoT internet of things communication; the power supply device comprises a solar cell panel and a storage battery; the display device comprises an upper computer display and a remote webpage display. The invention provides a remote monitoring concept combining subareas with nodes, which can simultaneously acquire water quality information and floater information of a large-area water area or a longer river channel, thereby improving the accuracy and the real-time performance of the system.
Description
Technical Field
The invention belongs to the technical field of water quality detection, and particularly relates to a distributed water source monitoring system.
Background
Water pollution is a very complicated process and has the characteristics of slow process and great concealment and treatment difficulty. Once polluted, the influence of pollution is difficult to eliminate, and even if the pollution source is completely cut off, the water quality can be recovered for over ten years, dozens of years or even longer. The most effective method for controlling water pollution is to provide forenotice and alarm as soon as possible before the water quality deteriorates, so that relevant departments can take effective prevention and treatment measures in advance, and the pollution to water sources is slowed down or completely eliminated, so that the monitoring of the water body is essential.
The water quality monitoring system is a comprehensive on-line automatic monitoring system which is formed by taking an on-line automatic analysis instrument as a core and applying a modern sensing technology, an automatic measurement technology, an automatic control technology, a computer application technology, relevant special analysis software and a communication network.
The existing common water quality monitoring system only monitors various indexes of water quality and can only observe water quality information, water surface floaters have great influence on the water quality, and the single water quality index data monitoring cannot completely reflect the integral monitoring of the water body.
Disclosure of Invention
The invention aims to solve the technical problem of providing a distributed water source monitoring system so as to solve the technical problem that a water quality detection system in the prior art cannot give consideration to both floater monitoring and water quality index monitoring.
In order to achieve the purpose, the technical scheme provided by the invention is as follows:
the distributed water source monitoring system is characterized in that a plurality of monitoring units are arranged on a river channel or a large-area water area, the monitoring units are powered by a solar cell panel and a storage battery, and the monitoring units are connected with a database system and a display device; each monitoring unit comprises a main node and a plurality of sub-nodes connected with the main node; the main node comprises a water quality detection device and a floater monitoring device, the water quality detection device comprises an STM32 single chip microcomputer, and a turbidity sensor, a pH value sensor, a temperature sensor and a TDS sensor which are connected with the STM32 single chip microcomputer, and various sensors are in contact with a water source to be detected through sensor channels; the floater monitoring device comprises a camera, and the camera is connected with the raspberry pie; the STM32 single chip microcomputer is connected with a GPS module, and the STM32 single chip microcomputer is connected with a raspberry pie through a Zigbee communication module; the sub-node comprises a water quality detection device, and an STM32 single chip microcomputer of the sub-node water quality detection device is connected with a raspberry group of the main node through a Zigbee communication module; the raspberry pie is connected with a database system through an Nb-IoT communication module, and the database system is connected with a remote terminal; the raspberry pi is connected with an upper computer display device.
Further, the database system comprises a cloud server and a PC; the remote terminal is a mobile phone, and the mobile phone is in wireless connection with the cloud server.
Compared with the prior art, the invention has the beneficial effects that:
most of the existing water quality monitoring systems can only artificially use a traditional single detection instrument to detect basic parameters of water quality of a water source on site. On the basis of the water source monitoring system designed by the invention, the existence of the floating object is detected from the sequence image captured by the monitoring camera by adopting the USB camera module; through the transmission medium raspberry Pi 3B +, an NB-IoT narrowband cellular Internet of things communication module is adopted, the former GPRS data transmission function is improved, and the design cost is saved; a solar power supply system is adopted, so that the green development concept is met; the method comprises the steps of sending data to a cloud end in a timed mode, monitoring the latest condition of a water source in real time, sending data to the cloud end in time when abnormal floaters appear, reminding workers of cleaning the floaters on the water surface in time, and avoiding multiple pollution; compare in traditional monitoring system, the system adopts remote mobile terminal APP to acquire quality of water information anytime and anywhere, has the ageing more.
Drawings
FIG. 1 is a schematic view of the overall structure of the present invention;
FIG. 2 is a block diagram of the overall structure of the present invention;
fig. 3 is a schematic diagram of the connection of a master node of the present invention.
In the figure, 1-database system, 2-Nb-IoT communication module, 3-solar panel, 4-camera, 5-sensor pipeline, 6-water source.
Detailed Description
The present invention will be described in further detail with reference to the following detailed description and accompanying drawings. Wherein like elements in different embodiments are numbered with like associated elements. In the following description, numerous details are set forth in order to provide a better understanding of the present application. However, those skilled in the art will readily recognize that some of the features may be omitted or replaced with other elements, materials, methods in different instances.
The working principle of the invention is as follows: STM32 singlechip combines the sensor to carry out real-time supervision to each item parameter such as quality of water turbidity, the PH value, the temperature, TDS value, and pass to the raspberry group through Zigbee wireless communication with data, the raspberry group combines to adopt the camera to the monitoring of surface of water floater and discernment picture data to pass through NB-IoT narrowband communication with data timing and sends the high in the clouds, realize data sharing, if the unusual floater condition appears, send positional information through the GPS module, can inquire the geographical position of specific pollution, in time handle and protect. Finally, the remote monitoring system integrating the functions of water quality information detection, water surface floater identification and the like is realized, data transmission can be efficiently carried out in real time, data sharing is realized, cleaning is timely implemented, and reasonable protection of a water source is facilitated.
Example (b):
referring to the distributed water source monitoring system of fig. 1, a plurality of monitoring units are arranged on a river channel or a large-area water area, the plurality of monitoring units are all powered by respective solar panels 3 and storage batteries, and the plurality of monitoring units are connected with a database system 1 and a display device; each monitoring unit comprises a main node and a plurality of sub-nodes connected with the main node; the main node comprises a water quality detection device and a floater monitoring device, the water quality detection device comprises an STM32 single chip microcomputer, and a turbidity sensor, a pH value sensor, a temperature sensor and a TDS sensor which are connected with the STM32 single chip microcomputer, the detection range of the turbidity sensor is 0-3.5% (0-4550NTU), and the error range is +/-5% F S; TDS sensor, detection range 0-1000ppm, error range + -10% F.S (25 deg.C); a PH sensor with a detection range of 0-14; a temperature sensor, the detection range is 0-100 ℃; various sensors are contacted with a water source 6 to be measured through a sensor pipeline 5; floater monitoring devices includes camera 4, and camera 4 connects the raspberry group, and this camera 4 has high sensitivity, and advantages such as low-voltage are applicable to embedded development, support image zoom, translation and window setting, exportable JPG image data. The camera 4 based on machine learning shoots the difference comparison and motion detection of adjacent frames to obtain a change value, when the change value reaches a response threshold value, a floater exists, the camera 4 is controlled to automatically shoot and upload picture data and water area position information, and therefore remote monitoring and timely processing are achieved; the STM32 singlechip is connected with the GPS module, and the STM32 singlechip is connected with the raspberry pie through the Zigbee communication module;
the subnode also comprises a water quality detection device, the water quality detection device comprises an STM32 single chip microcomputer and a turbidity sensor, a pH value sensor, a temperature sensor and a TDS sensor which are connected with the STM32 single chip microcomputer, and the STM32 single chip microcomputer of the subnode water quality detection device is connected with the raspberry group of the main node through a Zigbee communication module;
the raspberry pie is connected with a database system 1 through an Nb-IoT communication module 2, the database system 1 comprises a cloud server and a PC, the PC has functions of deep processing of images of floating objects, real-time monitoring, data comparison and instruction control, the cloud server is connected with a remote terminal through a wireless network, and the remote terminal is a mobile phone and can monitor the operation monitoring condition of the whole device in real time; the raspberry pi is connected with an upper computer display device, and the upper computer display is designed by a GUI user interface of Qt.
In the floating object image processing technology, an OpenCV (open content library) is combined with python programming to filter, binarize and segment the floating object image to obtain an optimal threshold value, and whether the floating object appears is judged.
The data transmission module comprises two parts, one part is ZigBee serial port communication between the STM32 and the raspberry pi, wireless data transmission within 1000 meters is supported, and the packet loss rate is low. And part of the method is based on NB-IoT internet of things communication, data are transmitted to the cloud in real time, and the data are monitored and processed in a webpage form on any networking equipment at any time and any place.
The power supply module adopts solar panel output voltage to charge the storage battery through voltage reduction and stabilization, accurately calculates the required power supply voltage and current of each part, and reduces the voltage of the storage battery output voltage to supply power for the processor, the sensor, the communication module, the display screen and the like.
The display device is divided into on-site user interface display and remote webpage monitoring display, the user interface adopts GUI user interface design based on Qt, and C + + programming is used to design pictures which can be seen by the camera 4 on site, position information of the main node, water quality information of each sub-node of the water area section, detected floating object pictures and the like. The webpage display adopts PHP-based webpage design, various water quality data and picture data are added into a database by using Python programming and are clearly organized and displayed in the webpage in combination with the PHP webpage programming.
It will be apparent to those skilled in the art that various modifications and adaptations can be made without departing from the principles of the invention and these are intended to be within the scope of the invention.
Claims (2)
1. The distributed water source monitoring system is characterized in that a plurality of monitoring units are arranged on a river channel or a large-area water area, the monitoring units are powered by a solar cell panel and a storage battery, and the monitoring units are connected with a database system and a display device; each monitoring unit comprises a main node and a plurality of sub-nodes connected with the main node; the main node comprises a water quality detection device and a floater monitoring device, the water quality detection device comprises an STM32 single chip microcomputer, and a turbidity sensor, a pH value sensor, a temperature sensor and a TDS sensor which are connected with the STM32 single chip microcomputer, and various sensors are in contact with a water source to be detected through sensor channels; the floater monitoring device comprises a camera, and the camera is connected with the raspberry pie; the STM32 single chip microcomputer is connected with a GPS module, and the STM32 single chip microcomputer is connected with a raspberry pie through a Zigbee communication module; the sub-node comprises a water quality detection device, and an STM32 single chip microcomputer of the sub-node water quality detection device is connected with a raspberry group of the main node through a Zigbee communication module; the raspberry pie is connected with a database system through an Nb-IoT communication module, and the database system is connected with a remote terminal; the raspberry pi is connected with an upper computer display device.
2. The distributed water source monitoring system of claim 1, wherein the database system comprises a cloud server and a PC; the remote terminal is a mobile phone, and the mobile phone is in wireless connection with the cloud server.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201911010361.3A CN110708680A (en) | 2019-10-23 | 2019-10-23 | Distributed water source monitoring system |
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| CN201911010361.3A CN110708680A (en) | 2019-10-23 | 2019-10-23 | Distributed water source monitoring system |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111896707A (en) * | 2020-08-05 | 2020-11-06 | 新路国际环境工程有限公司 | Intelligent monitoring system for sewage quality |
| CN112410864A (en) * | 2020-11-20 | 2021-02-26 | 安徽理工大学 | Electroplating solution parameter monitoring and control system design based on NB-IoT technology |
| CN114205501A (en) * | 2021-12-09 | 2022-03-18 | 河海大学 | All-angle algae monitoring and identifying system and using method thereof |
| CN114541511A (en) * | 2022-02-25 | 2022-05-27 | 徐州桂丰金属科技有限公司 | Water resource automatic allocation device for hydraulic engineering |
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| CN210518840U (en) * | 2019-10-23 | 2020-05-12 | 西安工业大学 | Water quality detection and floater monitoring integrated device |
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2019
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| CN107168155A (en) * | 2017-06-15 | 2017-09-15 | 中国地质大学（武汉） | A kind of floater mobile monitoring node apparatus |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN112410864A (en) * | 2020-11-20 | 2021-02-26 | 安徽理工大学 | Electroplating solution parameter monitoring and control system design based on NB-IoT technology |
| CN114205501A (en) * | 2021-12-09 | 2022-03-18 | 河海大学 | All-angle algae monitoring and identifying system and using method thereof |
| CN114541511A (en) * | 2022-02-25 | 2022-05-27 | 徐州桂丰金属科技有限公司 | Water resource automatic allocation device for hydraulic engineering |
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