CN116381177A - Drinking water sudden water pollution early warning device based on Bayesian network - Google Patents

Drinking water sudden water pollution early warning device based on Bayesian network Download PDF

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CN116381177A
CN116381177A CN202310383037.6A CN202310383037A CN116381177A CN 116381177 A CN116381177 A CN 116381177A CN 202310383037 A CN202310383037 A CN 202310383037A CN 116381177 A CN116381177 A CN 116381177A
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CN116381177B (en
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刘静
单楠
张琨
许小娟
邹长新
林乃峰
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Nanjing Institute of Environmental Sciences MEE
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Abstract

The invention belongs to a drinking water sudden water pollution early warning device based on a Bayesian network in the technical field of water pollution treatment equipment, which comprises a detection module and an early warning module, wherein the detection module is floatingly arranged between a water source to be detected and a water source bank body, the early warning module is in signal connection with the detection module and is based on a Bayesian algorithm, the detection module transmits real-time detected water body index data to the early warning module, and the early warning module carries out probability analysis on the index data based on the Bayesian algorithm, various water pollution cause related basic data and the weights of influencing factors to obtain early warning information related to the index data; the detection module realizes the index data such as PH value, turbidity, ammonia nitrogen content and the like in the water index data, can realize the full-swimming layer detection of the index data of the water to be detected, and has wider range; the first detection chamber not only can realize the detection of the turbid ground of the water body in a standing state, but also can be used as a pressurizing pipeline with the automatic cleaning function of the photoelectric sensor in the second detection chamber together with the diversion bin.

Description

Drinking water sudden water pollution early warning device based on Bayesian network
Technical Field
The invention belongs to the technical field of water pollution treatment equipment, and particularly relates to a drinking water sudden water pollution early warning device based on a Bayesian network.
Background
In recent years, serious emergencies of drinking water river basin water pollution are layered, the ecological environment faces serious threat, relevant environmental departments adopt real-time monitoring schemes for water environment pollution accidents, a wireless sensor network system is mostly used for automatically monitoring river basin water quality indexes such as ammonia nitrogen, five-day biochemical oxygen demand (BOD 5) and Dissolved Oxygen (DO) and the like, and the water quality indexes are packaged and transmitted back to the cloud.
The following problems exist in the current monitoring process of various indexes of daily drinking water sources:
(1) The water pollution monitoring and early warning system generally monitors the water body through a monitor, but in the current water pollution monitoring process, the water quality of different depths of the same water area is possibly different, so that the monitoring range is single, uniform water pollution monitoring is difficult to perform, the monitoring range is smaller, and accurate early warning can not be performed on the water area;
(2) The existing monitoring and early warning device for the water body mainly adopts a buoy to float on the water body to be monitored in real time, but due to the fact that the water body in the drinking water source area can have a dead water period and a rich water period, the detection accuracy of the monitoring and early warning device can be affected due to the fact that the water level change range is large.
Disclosure of Invention
The invention aims to provide a drinking water sudden water pollution early warning device based on a Bayesian network, so as to solve the problems in the background technology.
The invention realizes the above purpose through the following technical scheme:
the utility model provides a drinking water sudden water pollution early warning device based on Bayesian network, includes the detection module that floats and locates between water source and the water source bank body that awaits measuring and with detection module signal connection and early warning module based on Bayesian algorithm, the detection module transmits real-time water body index data that detects to early warning module, early warning module carries out probability analysis to index data based on Bayesian algorithm and all kinds of relevant basic data of water pollution cause, the weight of influence factor, obtains and exports the early warning information that is correlated with the index data;
the detection module comprises a mounting frame, a first detection chamber and a second detection chamber which are arranged in the longitudinal space of the mounting frame and are communicated, and a PH sensor, an annular air bag and an air pump are arranged at the lower end of the mounting frame; the first detection chamber is positioned at the upper end of the mounting frame, a plurality of communicating pipes are arranged on the side face of the first detection chamber, the lower ends of the communicating pipes extend to the lower part of the mounting frame and are led to a water source to be detected, and a plurality of turbidity sensors are arranged in the first detection chamber; the lower end face of the second detection chamber is provided with a plurality of drain pipes, electromagnetic valves are arranged on the drain pipes, the lower ends of the drain pipes extend to the lower part of the mounting frame and lead to a water source to be detected, and a plurality of photoelectric sensors are arranged in the second detection chamber;
and the safety valve is used for conducting the first detection chamber and the second detection chamber when the water pressure in the first detection chamber reaches a preset pressure value.
As a further optimization scheme of the invention, a diversion bin is arranged on the communication path of the first detection chamber and the second detection chamber, a spiral flow passage is arranged in the diversion bin, the upper end of the spiral flow passage is communicated with the outlet end of the safety valve, and the lower end of the spiral flow passage faces the photoelectric sensor.
As a further optimization scheme of the invention, the side wall of the diversion bin is provided with an electric heating plate.
As a further optimization scheme of the invention, the second detection chamber is trapezoidal, the top is a through hole, the bottom is a sealing surface, and the photoelectric sensor is arranged on the inner side of the through hole.
As a further optimization scheme of the invention, at least two layers of filter screens are arranged in the horizontal direction in the second detection chamber.
As a further optimization scheme of the invention, the mounting frame is fixedly provided with a sliding plate towards the water source bank body side, and a sliding way which is matched with the sliding plate to slide up and down is arranged in the vertical direction of the water source bank body.
As a further optimization scheme of the invention, the mounting frame is provided with a threaded opening for installing the guide cabin in a threaded manner.
As a further optimization scheme of the invention, the upper end of the second detection chamber is in threaded connection with the lower end of the diversion bin.
The invention has the beneficial effects that:
(1) The invention realizes analysis of water pollution conditions in a large amount of detection data based on various basic data through a Bayesian algorithm and probability analysis, so as to obtain early warning information and prevent water pollution to the greatest extent;
(2) The detection module realizes the index data such as PH value, turbidity, ammonia nitrogen content and the like in the water index data, can realize the full-swimming layer detection of the index data of the water to be detected, and has wider range;
(3) According to the invention, the first detection chamber not only can realize detection of turbid water in a standing state, but also can be used as a pressurizing pipeline with the automatic cleaning function of the photoelectric sensor in the second detection chamber together with the diversion bin;
(4) According to the invention, the arrangement of the diversion bin and the spiral flow channel can accelerate the water body to flush into the second detection chamber, the flow path of the water body in the spiral flow channel is longer than the flow path of the water body directly penetrating down, so that the heating time of the water body in the diversion bin is prolonged, the reaction of the water body and the Nahner reagent in the second detection chamber is more sufficient, and the ammonia nitrogen detection process is quicker and more accurate.
Drawings
FIG. 1 is a schematic view of the overall structure of the present invention;
FIG. 2 is a schematic view of the rear structure of the mounting bracket of the present invention;
FIG. 3 is a schematic diagram of the early warning device in the working environment according to the present invention;
in the figure: 1. a mounting frame; 2. a first detection chamber; 3. a communicating pipe; 4. a diversion bin; 5. a safety valve; 6. an early warning module; 7. a second detection chamber; 8. an annular air bag; 9. an air pump; 10. a PH sensor; 11. a drain pipe; 12. an electromagnetic valve; 13. a slideway; 21. a turbidity sensor; 41. a spiral flow passage; 42. an electric heating plate; 71. a photoelectric sensor; 72. a filter screen; 101. a slide plate; 102. a ring groove; 103. and (5) a threaded opening.
Detailed Description
The invention will now be described in further detail with reference to the accompanying drawings, wherein it is to be understood that the following detailed description is for the purpose of illustration only and is not to be construed as limiting the scope of the invention, as various insubstantial modifications and adaptations of the invention to those skilled in the art may be made in light of the foregoing disclosure.
Example 1
As shown in fig. 1-3, the invention provides a drinking water sudden water pollution early warning device based on a bayesian network, which comprises a detection module and an early warning module 6, wherein the detection module is floatingly arranged between a water source to be detected and a water source bank body, the early warning module 6 is in signal connection with the detection module and is based on a bayesian algorithm, the detection module transmits real-time detected water body index data to the early warning module 6, and the early warning module 6 performs probability analysis on the index data based on the bayesian algorithm, various water pollution cause related basic data and the weights of influencing factors to obtain and output early warning information related to the index data.
The early warning device is in signal connection with an external control terminal, and the control terminal is used for receiving early warning information and making corresponding decisions in real time; in addition, the early warning module 6 based on the bayesian algorithm is specifically a device with a built-in bayesian algorithm model, basic data of various water pollution reasons are preset in the device, the basic data comprise index data corresponding to the pollution reasons and weights of the index data serving as pollution reasons, the basic data are used for receiving real-time index data of the water body to be detected, collected by the detection module, and probability analysis is carried out on the data to obtain adaptive early warning information. The method realizes analysis of water pollution conditions in a large amount of detection data based on various basic data through a Bayesian algorithm and probability analysis so as to obtain early warning information.
It should be noted that, in the present invention, the index data detected by the detection module includes a conventional analysis index corresponding to water pollution, including: the PH value measured by the PH sensor 10, the turbidity measured by the turbidity sensor 21, and whether ammonia nitrogen is abnormal or not detected by the photoelectric sensor 71.
In the invention, the detection module comprises a mounting frame 1, a first detection chamber 2 and a second detection chamber 7 which are arranged in the longitudinal space of the mounting frame 1 and are communicated, a PH sensor 10, an annular air bag 8 and an air pump 9 are arranged at the lower end of the mounting frame 1, and an annular groove 102 for installing the annular air bag is arranged on the mounting frame 1; the first detection chamber 2 is positioned at the upper end of the mounting frame 1, a plurality of communicating pipes 3 are arranged on the side face of the first detection chamber 2, the lower ends of the communicating pipes 3 extend to the lower side of the mounting frame 1 and are led to a water source to be detected, and a plurality of turbidity sensors 21 are arranged in the first detection chamber 2; the lower end face of the second detection chamber 7 is provided with a plurality of drain pipes 11, the drain pipes 11 are provided with electromagnetic valves 12, the lower ends of the drain pipes 11 extend to the lower part of the mounting frame 1 and are led to a water source to be detected, and a plurality of photoelectric sensors 71 are arranged in the second detection chamber 7; and a safety valve 5 on the communication path of the first detection chamber 2 and the second detection chamber 7, wherein the safety valve 5 is used for conducting the first detection chamber 2 and the second detection chamber 7 when the water pressure in the first detection chamber 2 reaches a preset pressure value.
The detection module has two detection modes when in use, and the first detection mode is specifically as follows: the annular air bag 8 is inflated by controlling the air pump 9, so that the installation frame 1 integrally floats on a water body of a water source to be detected, the PH value of the water body is detected in real time by the PH sensor 10, the conventional PH value of the water body is between 6.5 and 8.5, and if the actual measured value is not in the range, a second detection mode is started.
The second detection mode is: the control terminal is used for controlling the air pump 9 to release pressure with the pressure release valve 5 on the communication pipeline of the annular air bag 8, so that the whole weight of the detection device is larger than the buoyancy generated by the annular air bag 8, the detection device is immersed in water, at the moment, the first detection chamber 2 is continuously filled with water through the communication pipeline 3 until the first detection chamber 2 is filled with water, and in the process, the turbidity sensor 21 can detect the turbidity of the water in real time and transmit turbidity data to the early warning module; if it is desired to detect the turbidity of the water after precipitation, the turbidity after precipitation can be detected by increasing the on-pressure value of the relief valve 5 and keeping the water in the first detection chamber 3 relatively stationary until the internal pressure reaches the on-pressure value.
The two detection modes in the invention can realize the detection of water quality with different depths in the same water area, so that the detection range is larger, and the detection data is more accurate.
In the invention, a diversion bin 4 is arranged on a communication path between a first detection chamber 2 and a second detection chamber 7, an electric heating plate 42 is arranged on the side wall of the diversion bin 4, a spiral flow channel 41 is arranged in the diversion bin 4, the upper end of the spiral flow channel 41 is communicated with the outlet end of a safety valve 5, and the lower end of the spiral flow channel 41 faces a photoelectric sensor 71. Further, the second detection chamber 7 has a trapezoidal shape, the top is a through hole, the bottom is a sealing surface, and the photoelectric sensor 71 is disposed inside the through hole. And at least two layers of filter screens 72 are horizontally arranged in the second detection chamber 7.
In the invention, when the detection module is wholly submerged, the water pressure in the first detection chamber 3 is gradually increased, after the safety valve 5 is conducted, water can directly enter the spiral flow passage 41 in the diversion bin 4 and then is flushed towards the photoelectric sensor 71 in the second detection chamber 7, so that self-cleaning of the photoelectric sensor 71 can be realized, the water can be flushed into the second detection chamber 72 in an accelerating way, a Navier reagent (ammonia nitrogen in free form in the water or ammonia ions and the like reacts with the Navier reagent to generate a light reddish brown complex, so that whether the ammonia nitrogen content in the water is abnormal or not is detected) is conveniently brought into full contact with the Navier reagent in the second detection chamber 72, and the filter screen 72 is arranged to screen out sediment after the water reaction in the second detection chamber 72, and the photoelectric sensor 71 is used for acquiring the color of the water after the water is reacted with the Navier reagent.
In the invention, the diversion bin 4 and the spiral flow channel 41 are arranged, so that the flowing water body is acted by centrifugal force, and can accelerate to impact the photoelectric sensor 71 from all directions, and the sediment (or complex) adhered on the photoelectric sensor 71 is washed out; in addition, the side wall of the diversion bin 4 is provided with the electric heating plate 42, so that the water body in the spiral flow channel 41 can be heated to accelerate the reaction of the water body and the Nahner reagent in the second detection chamber 7, and the flow path of the water body in the spiral flow channel 41 is obviously longer than the path of the water body directly penetrating and flowing down, so that the water body heating effect is obviously better.
Further, the mounting frame 1 is fixedly provided with a sliding plate 101 towards the water source bank side, and a slideway 13 which is matched with the sliding plate 101 to slide up and down is arranged in the vertical direction of the water source bank.
According to the invention, through the limit function of the sliding plate 101 and the sliding way 13, the volume of the annular air bag 8 can be controlled through the air pump 9 in both the water-rich period and the water-free period, and the detection module is driven to float or sink into the water to be detected through the buoyancy difference of the annular air bags 8 with different sizes.
For further being convenient for carry out quick assembly disassembly to monitoring devices, be equipped with the screw thread mouth 103 that is used for installing water conservancy diversion storehouse 4 screw thread on the mounting bracket 1, be threaded connection between second detection room 7 upper end and the water conservancy diversion storehouse 4 lower extreme. Because the upper end of the second detection chamber 7 is in threaded connection with the lower end of the diversion bin 4, nahner reagent can be rapidly put into the second detection chamber 71 so as to detect whether ammonia nitrogen in the water body is abnormal or not.
The above examples merely represent a few embodiments of the present invention, which are described in more detail and are not to be construed as limiting the scope of the present invention. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the invention, which are all within the scope of the invention.

Claims (8)

1. The drinking water sudden water pollution early warning device based on the Bayesian network is characterized by comprising a detection module which floats between a water source to be detected and a water source bank body, and an early warning module (6) which is connected with the detection module through signals and is based on a Bayesian algorithm, wherein the detection module transmits real-time detected water body index data to the early warning module (6), and the early warning module (6) performs probability analysis on the index data based on the Bayesian algorithm, various water pollution cause related basic data and the weights of influence factors to obtain and output early warning information related to the index data;
the detection module comprises a mounting frame (1), and a first detection chamber (2) and a second detection chamber (7) which are arranged in the longitudinal space of the mounting frame (1) and are communicated, wherein a PH sensor (10), an annular air bag (8) and an air pump (9) are arranged at the lower end of the mounting frame (1); the first detection chamber (2) is positioned at the upper end of the mounting frame (1), a plurality of communicating pipes (3) are arranged on the side face of the first detection chamber (2), the lower ends of the communicating pipes (3) extend to the lower side of the mounting frame (1) and are led to a water source to be detected, and a plurality of turbidity sensors (21) are arranged in the first detection chamber (2); the lower end face of the second detection chamber (7) is provided with a plurality of drain pipes (11), the drain pipes (11) are provided with electromagnetic valves (12), the lower ends of the drain pipes (11) extend to the lower part of the mounting frame (1) and are communicated with a water source to be detected, and a plurality of photoelectric sensors (71) are arranged in the second detection chamber (7);
and a safety valve (5) on the communication path of the first detection chamber (2) and the second detection chamber (7), wherein the safety valve (5) is used for conducting the first detection chamber (2) and the second detection chamber (7) when the water pressure in the first detection chamber (2) reaches a preset pressure value.
2. The drinking water sudden water pollution early warning device based on a Bayesian network according to claim 1, wherein: the detection device is characterized in that a diversion bin (4) is arranged on a communication path of the first detection chamber (2) and the second detection chamber (7), a spiral flow channel (41) is arranged in the diversion bin (4), the upper end of the spiral flow channel (41) is communicated with the outlet end of the safety valve (5), and the lower end of the spiral flow channel (41) faces the photoelectric sensor (71).
3. The drinking water sudden water pollution early warning device based on a Bayesian network according to claim 2, wherein: an electric heating plate (42) is arranged on the side wall of the diversion bin (4).
4. The drinking water sudden water pollution early warning device based on a Bayesian network according to claim 1, wherein: the second detection chamber (7) is trapezoid, the top of the second detection chamber is a through hole, the bottom of the second detection chamber is a sealing surface, and the photoelectric sensor (71) is arranged on the inner side of the through hole.
5. The bayesian network-based drinking water sudden water pollution early warning device according to claim 4, wherein: and at least two layers of filter screens (72) are arranged in the second detection chamber (7) in the horizontal direction.
6. The drinking water sudden water pollution early warning device based on a Bayesian network according to claim 1, wherein: the mounting frame (1) is fixedly provided with a sliding plate (101) towards the water source bank side, and a slideway (13) which is matched with the sliding plate (101) to slide up and down is arranged in the vertical direction of the water source bank.
7. The drinking water sudden water pollution early warning device based on a Bayesian network according to claim 1, wherein: the installation frame (1) is provided with a threaded opening (103) for installing the diversion bin (4) in a threaded manner.
8. The drinking water sudden water pollution early warning device based on a Bayesian network according to claim 1, wherein: the upper end of the second detection chamber (7) is in threaded connection with the lower end of the diversion bin (4).
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