CN205940620U - Water pollution monitoring early warning system - Google Patents

Abstract

The utility model discloses a water pollution monitoring and early warning system. The system includes a remote monitoring center, a data convergence node and a data collection node. The remote monitoring center and the data convergence node are connected through GPRS data transmission; The surrounding data collection nodes monitor the water quality changes in real time. Once the coordinates of the data collection nodes change or the water quality in the monitoring area is abnormal, an early warning message can be issued, and the inspectors can verify whether the node sensor has been artificially moved or whether there is a private sewage discharge. Illegal phenomena such as mouths and mouths, to prevent enterprises from secretly discharging sewage to evade monitoring.

Description

A water pollution monitoring and early warning system

technical field

The utility model relates to the field of environmental monitoring, in particular to a water pollution monitoring and early warning system.

Background technique

With the continuous development of social economy, the water pollution situation in our country has become very serious. A large amount of industrial, agricultural and domestic waste water is directly discharged into rivers, lakes and oceans without treatment, causing serious pollution to water quality, especially The pollution of fresh water resources such as rivers and lakes has seriously threatened people's drinking water health. The environmental protection department is also constantly increasing the investigation and punishment, but the problem is still serious. From time to time, there are news from the news media that individual enterprises discharge sewage privately and secretly. Timely waiting for loopholes, individual sewage enterprises take advantage of this loophole, evade supervision through various methods, and secretly discharge sewage.

The current water pollution detection schemes on the market mainly use manual hand-held detection instruments for fixed-point sampling inspections. This scheme is time-consuming and laborious, and requires operators to be exposed to toxic and harmful environments. The monitoring lags behind, and sewage enterprises are easy to adopt. The way of cat and mouse is used to evade inspection, and it even happens that the inspectors are reducing sewage discharge, and the inspectors leave to make a surprise discharge.

In response to this phenomenon, the water pollution early warning and monitoring system for enterprise sewage discharge has completely changed the traditional sewage sampling and monitoring mode in the past. The monitoring data is transmitted to the central control center of the supervision department through the wireless sensor network and GPRS network, so that the sewage sampling and monitoring Operators can monitor relevant information such as the sewage discharge situation, total daily discharge volume, discharge law, and water quality changes of sewage discharge enterprises in real time 24 hours a day without personally entering the toxic and harmful environment of sewage discharge. At the same time, with the help of high-precision GPS positioning, scientific and reasonable distributed arrangement of data collection nodes and other methods, not only can the coordinate position of the monitoring point be accurately monitored, but also the position of the monitoring point can be changed flexibly and quickly according to the need. By setting multiple measuring points and combining certain The algorithm can realize the large-scale and continuous monitoring of the entire monitoring water surface, can effectively plug the loopholes in the sewage discharge management, prevent enterprises from privately setting up sewage pipes to secretly discharge sewage, and issue early warnings for illegal discharge behaviors in a timely manner.

Utility model content

In order to solve the above existing technical problems, reasonably monitor the phenomenon of individual sewage enterprises using various loopholes, evading supervision through various methods, secretly setting up sewage pipes to secretly discharge sewage, and the problem of hysteresis in manual monitoring, a water pollution monitoring and early warning is proposed. system.

The technical scheme that the utility model adopts is as follows:

A water pollution monitoring and early warning system, characterized in that: the system includes a remote monitoring center, a data convergence node and a data collection node, the remote monitoring center and the data convergence node are connected through GPRS data transmission, and the data convergence node is connected to the data collection node The collection nodes are connected through the ZIGBEE wireless sensor network, and the remote monitoring center realizes the sending of control commands to the data convergence node and the collection, storage and display of monitoring data, and the data convergence node will pollute the monitoring data and locate the collection nodes Information such as data and traffic data is processed and packaged and uploaded to the monitoring center. The data collection node is responsible for collecting pollution data, calculating node coordinate data, and processing and packaging the above data to the data aggregation node.

Further, the data acquisition node includes a controller unit, an analog-to-digital conversion circuit, a sensor unit, a GPS positioning module, a ZIGBEE module, a power supply module and a support module.

Further, the data aggregation node includes a controller unit, an analog-to-digital conversion circuit, a sensor unit, a GPS positioning module, a ZIGBEE module, a GPRS module, a power supply module and a support module.

Further, each sensor is connected to the analog input channel of the controller through an analog-to-digital conversion circuit, and the sensor unit adopts one or more of PH sensor, ORP sensor, and DO sensor.

Further, the sensor unit adopts an ultrasonic flow sensor or a liquid level pressure sensor.

Furthermore, in order to realize the abundant hardware resources integrated in the processor and the excellent scalability of peripheral circuits, the core processor has its own ADC part, which is convenient for connecting various sensors to collect analog signals. The controller unit adopts 32 The S3C2410 processor of the embedded central processing unit chip ARM9 series.

Further, the support module includes SD external storage module, FLASH expansion module, clock circuit and LCD display module.

Further, the power module is externally connected with a solar panel and a storage battery to provide suitable and stable working voltages for each unit and module of the system through a power conversion circuit.

Further, the data collection node is installed on a buoy, and the buoy can be arranged at one or more positions of the water surface of the sewage outlet, the water surface upstream of the sewage outlet, and the water surface downstream of the sewage outlet.

Further, the ZIGBEE module uses a CC2430 chip.

Compared with the prior art, the utility model has the following advantages:

This solution is a real-time online monitoring based on GPS/GPRS/ZIGBEE technology. The acquisition terminal has low power consumption and is powered by solar energy or batteries. The detector is used for fast and real-time online monitoring and transmission of water flow, concentration, PH value and other data. At the same time, since the collection nodes adopt GPS positioning technology, the coordinate positions of the collection nodes of each monitoring point are clear, and the water quality changes are monitored in real time through the collection nodes around the sewage outlet. Once the coordinates of the collection nodes change or the water quality in the monitoring area is abnormal An early warning message can be issued, and inspectors can go to the site to verify whether the monitoring terminal sensor has been artificially moved or whether there are illegal phenomena such as private sewage outlets, so as to prevent enterprises from secretly discharging sewage to evade monitoring.

Description of drawings

Fig. 1 is a structural diagram of the utility model system.

Figure 2 shows the hardware structure of the data acquisition node.

Figure 3 shows the hardware structure of the data aggregation node.

detailed description

Below in conjunction with accompanying drawing, the utility model is further described:

As shown in Figures 1, 2 and 3, a water pollution monitoring and early warning system is characterized in that: the system includes a remote monitoring center, a data aggregation node and a data acquisition node, and the remote monitoring center and the data aggregation node pass GPRS data Transmission connection, the data aggregation node and the data acquisition node are connected through the ZIGBEE wireless sensor network, the remote monitoring center realizes the sending of the control command to the data aggregation node and the collection, preservation and display of monitoring data, and the data aggregation Nodes process, package and upload information such as pollution monitoring data, node positioning data, and flow data to the monitoring center. The data collection node is responsible for collecting pollution data, calculating the position coordinates of nodes, and processing and packaging the above data before uploading to the monitoring center. Data aggregation node. The data acquisition node includes a controller unit, an analog-to-digital conversion circuit, a sensor unit, a GPS positioning module, a ZIGBEE module, a power supply module and a supporting module. The data aggregation node includes a controller unit, an analog-to-digital conversion circuit, a sensor unit, a GPS positioning module, a ZIGBEE module, a GPRS module, a power supply module and a supporting module. Each sensor is connected to the analog input channel of the controller through an analog-to-digital conversion circuit, and the sensor unit adopts one or more of PH sensor, ORP sensor, and DO sensor. The sensor unit adopts an ultrasonic flow sensor or a liquid level pressure sensor. In order to realize the rich hardware resources integrated in the processor and the excellent scalability of peripheral circuits, the core processor has its own ADC part, which is convenient for accessing various sensors to collect analog signals. The controller unit adopts a 32-bit embedded The central processing unit chip is the S3C2410 processor of the ARM9 series. The support module includes SD external storage module, FLASH expansion module, clock circuit and LCD display module. The power module is externally connected with a solar panel and a storage battery, and provides suitable and stable working voltages for each unit and module of the system through a power conversion circuit. The data acquisition node is installed on a buoy, and the buoy is set at one or more positions of the water surface of the sewage outlet, the upstream water surface of the sewage outlet, and the downstream water surface of the sewage outlet. The ZIGBEE module adopts CC2430 type chip.

The system of the utility model mainly includes three parts, which are data acquisition node, data convergence node and remote monitoring center respectively. The data acquisition node and data convergence node are set on the site near the sewage discharge outlet, and are responsible for the collection, processing and uploading of pollution data. The remote monitoring center sets up an environmental protection supervision department to read the data of the on-site nodes remotely and wirelessly, and remotely monitor the sewage discharge situation.

The data acquisition node is installed on the buoy and powered by solar energy or batteries. Because it uses wireless data transmission, its installation location is flexible and variable. It can be installed on the water surface facing the sewage pipeline outlet, the upstream water surface of the pipeline outlet, the downstream water surface of the pipeline outlet or other The location that is convenient for water quality monitoring is responsible for monitoring the water quality in the river and monitoring the change of water quality. At the same time, the data collection node is integrated with a GPS module, which can monitor its own coordinate position in real time.

The data aggregation node is fixed on the sewage pipeline, and is mainly responsible for the network management and data aggregation of each data collection node. It is also connected with an ultrasonic flow sensor and a pressure sensor to monitor the real-time flow in the sewage pipeline and determine the sewage discharge of the enterprise.

The data collection nodes and the data sink nodes together form a ZIGBEE wireless sensor network with a star network topology. The data acquisition node transmits the positioning data of the node and the water quality data collected by the sensor to the data aggregation node in real time through the wireless sensor network. The data aggregation node processes and packs the river water quality monitoring data, the location data of the collection node, and the flow data of the sewage pipeline, etc., and then transmits it to the monitoring center of the supervision department through the GPRS network.

If the application software run by the computer in the monitoring center is developed based on GPRS data transmission, with the help of the GPRS data transmission module connected to the computer, the sending of control commands to the data aggregation node and the collection, storage and display of monitoring data are realized.

As shown in Figures 2 and 3, the data acquisition node mainly consists of a controller unit, a sensor unit, a GPS positioning module, a ZIGBEE module, a power module, and a controller support unit. The structure of the data aggregation node is basically the same as that of the data acquisition node. The difference is that the former has an extra GPRS module for uploading data, and the types of sensors connected to the two are different.

Controller unit: choose Samsung's 32-bit low-power embedded central processing unit chip ARM9 series S3C2410 processor, which can run at a maximum of 203MHz. The hardware resources integrated in the processor are rich, and the peripheral circuit is very scalable. The processor has its own ADC part, which is convenient for connecting various sensors to collect analog signals.

Sensor unit: the data acquisition node is connected to the PH sensor (a sensor used to detect the hydrogen ion concentration in the measured object and convert it into a corresponding usable output signal), ORP sensor, DO sensor, etc. to collect water quality data of river or lake water, and the data aggregation node is connected to Ultrasonic flow sensor and pressure sensor detect and calculate the real-time flow and cumulative flow of the sewage pipeline. Each sensor is connected to the analog input channel of the controller through the A/D conversion conditioning circuit.

GPS module: U-BLOX-6010, the smallest size GPS receiving chip launched by U-blox, is adopted in a small package of 8x8mm MLF, which can receive satellite signals in remote or weak signal areas, and interface communication protocol Simple, easy to integrate, positioning accuracy up to 2 meters, fully meet the requirements of use.

ZIGBEE module: The CC2430 chip of TI Company is selected, which complies with the IEEE802.10.4 standard. In addition to the RF transceiver, CC2430 also integrates enhanced 8051MCU, 32/64/125kB FLASH memory, 8kB TAM and ADC, DMA, gatekeeper, etc. It operates in the 2.4GHz frequency band and uses low voltage (2.0-3.6V) Power supply, low power consumption, high sensitivity, fast transmission rate.

GPRS module: choose the GSM/GPRS dual-frequency SIM900 wireless module launched by SIMCom, SMT package, built-in TCP/IP protocol set, no additional processing operations related to TCP/IP protocol in the ARM chip, use simple AT Commands can conveniently realize GPRS network connection, data sending/receiving and other operations.

Power supply module: The power supply module is externally connected with solar panels and batteries, and provides suitable and stable working voltage for each unit and module of the system through the power conversion circuit.

Supporting modules: SD external storage module, FLASH expansion module, clock circuit and LCD display module, etc.

The above is only a specific embodiment of the utility model, but the scope of protection of the utility model is not limited thereto, and any person skilled in the art can easily think of changes or replacements within the technical scope disclosed in the utility model , should be covered within the scope of protection of the utility model.

Claims (8)

1. A water pollution monitoring and early warning system, characterized in that: the system includes a remote monitoring center, a data gathering node and a data acquisition node, the remote monitoring center and the data gathering node are connected by GPRS data transmission, and the data gathering node Connected with the data collection node through the ZIGBEE wireless sensor network, the remote monitoring center realizes the sending of control commands to the data collection node and the collection, storage and display of monitoring data. Positioning data and flow data information are processed and packaged and then uploaded to the monitoring center. The data collection node is responsible for the collection of pollution data, calculating the coordinate position of the node and uploading the above data to the data aggregation node after processing and packaging; the data collection node It includes a controller unit, an analog-to-digital conversion circuit, a sensor unit, a GPS positioning module, a ZIGBEE module, a power supply module, and a support module; the data aggregation node includes a controller unit, an analog-to-digital conversion circuit, a sensor unit, a GPS positioning module, and a ZIGBEE module , GPRS module, power module and support module. 2. A water pollution monitoring and early warning system according to claim 1, characterized in that: said sensor unit adopts one or more of a pH sensor, an ORP sensor, and a DO sensor. 3. A water pollution monitoring and early warning system according to claim 1, wherein the sensor unit is an ultrasonic flow sensor or a liquid level pressure sensor. 4. A water pollution monitoring and early warning system according to claim 1, characterized in that: said controller unit adopts a 32-bit embedded CPU chip ARM9 series S3C2410 processor. 5. A water pollution monitoring and early warning system according to claim 1, characterized in that: said support module includes an SD external storage module, a FLASH expansion module, a clock circuit and an LCD display module. 6. The water pollution monitoring and early warning system according to claim 1, wherein the power module is externally connected with a solar panel and a storage battery. 7. A water pollution monitoring and early warning system according to claim 1, characterized in that: the data collection node is installed on a buoy, and the buoy can be set on one of the water surface of the sewage outlet, the upstream water surface of the sewage outlet, and the downstream water surface of the sewage outlet or multiple locations. 8. A water pollution monitoring and early warning system according to claim 1, characterized in that: the ZIGBEE module adopts a CC2430 chip.