CN210518840U - Water quality detection and floater monitoring integrated device - Google Patents
Water quality detection and floater monitoring integrated device Download PDFInfo
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- CN210518840U CN210518840U CN201921794804.8U CN201921794804U CN210518840U CN 210518840 U CN210518840 U CN 210518840U CN 201921794804 U CN201921794804 U CN 201921794804U CN 210518840 U CN210518840 U CN 210518840U
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- water quality
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Abstract
The utility model relates to the technical field of water quality detection, in particular to a water quality detection and floater monitoring integrated device, 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 utility model provides a divide regional remote monitoring theory that combines to divide node can gather the quality of water information and the floater information in large tracts of land waters or longer river course simultaneously to make system accuracy and real-time promotion.
Description
Technical Field
The utility model belongs to the technical field of water quality testing, especially, relate to an integrative device of water quality testing and floater monitoring.
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 to-be-solved technical problem of the utility model is to provide a water quality testing and floater monitoring integrative device to overcome the technical problem that water quality testing system can't compromise floater monitoring and water quality index monitoring among the prior art.
In order to achieve the above object, the present invention provides a technical solution:
a device integrating water quality detection and floater monitoring 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 beneficial effects of the utility model are 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 utility model, the existence of the floating objects is detected from the sequence image captured by the monitoring camera by 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 schematic block diagram of the overall structure of the present invention;
fig. 3 is a schematic connection diagram of a host node according to 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 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 utility model discloses a theory of operation is: 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 fig. 1, the integrated device for water quality detection and floater monitoring 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 respective solar panels 3 and storage batteries, and the 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.
For those skilled in the art, without departing from the principle of the present invention, several improvements and modifications can be made, and these improvements and modifications should also be considered as the protection scope of the present invention.
Claims (2)
1. A device integrating water quality detection and floater monitoring 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 solar panels and storage batteries, 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 the 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 integrated water quality detection and floater monitoring device according to 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.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201921794804.8U CN210518840U (en) | 2019-10-23 | 2019-10-23 | Water quality detection and floater monitoring integrated device |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201921794804.8U CN210518840U (en) | 2019-10-23 | 2019-10-23 | Water quality detection and floater monitoring integrated device |
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| CN210518840U true CN210518840U (en) | 2020-05-12 |
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| CN201921794804.8U Expired - Fee Related CN210518840U (en) | 2019-10-23 | 2019-10-23 | Water quality detection and floater monitoring integrated device |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110708680A (en) * | 2019-10-23 | 2020-01-17 | 西安工业大学 | Distributed water source monitoring system |
| JP2022017900A (en) * | 2020-07-14 | 2022-01-26 | 関西電力株式会社 | Information processing device |
| CN114726993A (en) * | 2022-06-06 | 2022-07-08 | 合肥泷睿机器人有限责任公司 | Intelligent environment monitoring system |
-
2019
- 2019-10-23 CN CN201921794804.8U patent/CN210518840U/en not_active Expired - Fee Related
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110708680A (en) * | 2019-10-23 | 2020-01-17 | 西安工业大学 | Distributed water source monitoring system |
| JP2022017900A (en) * | 2020-07-14 | 2022-01-26 | 関西電力株式会社 | Information processing device |
| JP7083868B2 (en) | 2020-07-14 | 2022-06-13 | 関西電力株式会社 | Information processing equipment |
| CN114726993A (en) * | 2022-06-06 | 2022-07-08 | 合肥泷睿机器人有限责任公司 | Intelligent environment monitoring system |
| CN114726993B (en) * | 2022-06-06 | 2022-08-23 | 合肥泷睿机器人有限责任公司 | Intelligent environment monitoring system |
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