CN106560712A - Monitoring and early-warning system and method for river water quality - Google Patents
Monitoring and early-warning system and method for river water quality Download PDFInfo
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- CN106560712A CN106560712A CN201610686196.3A CN201610686196A CN106560712A CN 106560712 A CN106560712 A CN 106560712A CN 201610686196 A CN201610686196 A CN 201610686196A CN 106560712 A CN106560712 A CN 106560712A
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- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 title claims abstract description 41
- 238000012544 monitoring process Methods 0.000 title claims abstract description 33
- 238000000034 method Methods 0.000 title claims abstract description 16
- 208000034699 Vitreous floaters Diseases 0.000 claims abstract description 32
- 238000001514 detection method Methods 0.000 claims abstract description 32
- 229910019142 PO4 Inorganic materials 0.000 claims abstract description 22
- XKMRRTOUMJRJIA-UHFFFAOYSA-N ammonia nh3 Chemical compound N.N XKMRRTOUMJRJIA-UHFFFAOYSA-N 0.000 claims abstract description 22
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 claims abstract description 22
- 239000001301 oxygen Substances 0.000 claims abstract description 22
- 229910052760 oxygen Inorganic materials 0.000 claims abstract description 22
- NBIIXXVUZAFLBC-UHFFFAOYSA-K phosphate Chemical compound [O-]P([O-])([O-])=O NBIIXXVUZAFLBC-UHFFFAOYSA-K 0.000 claims abstract description 22
- 239000010452 phosphate Substances 0.000 claims abstract description 22
- 239000002184 metal Substances 0.000 claims description 24
- 230000002093 peripheral effect Effects 0.000 claims description 6
- 239000006261 foam material Substances 0.000 claims description 3
- 239000001307 helium Substances 0.000 claims description 3
- 229910052734 helium Inorganic materials 0.000 claims description 3
- SWQJXJOGLNCZEY-UHFFFAOYSA-N helium atom Chemical compound [He] SWQJXJOGLNCZEY-UHFFFAOYSA-N 0.000 claims description 3
- 230000007935 neutral effect Effects 0.000 claims description 3
- 238000012545 processing Methods 0.000 claims description 3
- 230000035945 sensitivity Effects 0.000 abstract description 5
- 239000000463 material Substances 0.000 abstract 1
- 238000004458 analytical method Methods 0.000 description 2
- 230000007547 defect Effects 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 238000000105 evaporative light scattering detection Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/18—Water
- G01N33/1886—Water using probes, e.g. submersible probes, buoys
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Abstract
The invention discloses a monitoring and early-warning system and method for river water quality. The monitoring and early-warning system comprises a plurality of floaters arranged in a river and made of a foamed material, and dissolved oxygen sensors, temperature sensors, pH value sensors, ammonia-nitrogen sensors, phosphate sensors and turbidity sensors all arranged on the floaters. Each of the floater comprises a shell; a processor arranged in the shell, a wireless transmitter, a memory, a GPS position indicator, a guiding motor and three power motors all arranged in the shell; and a guide block and three propellers arranged at the lower part of the shell. The monitoring and early-warning system and method provided by the invention have the characteristics of high detection sensitivity and good accuracy.
Description
Technical Field
The invention relates to the technical field of water quality detection, in particular to a river water quality monitoring and early warning system and method with high detection sensitivity and good accuracy.
Background
The general water quality monitoring method can only carry out fixed-point monitoring, but the river basin is large in area and cannot carry out comprehensive and effective evaluation and monitoring;
aiming at the sensor for all-weather monitoring, the existing sensor signal analysis method has great defects, and an effective characteristic analysis method is lacked aiming at mass detection data obtained by detection;
the existing monitoring method has the problem of low utilization degree of comprehensive detection information of the sensor.
Disclosure of Invention
The invention aims to overcome the defects that the monitoring range of the monitoring method in the prior art is limited and the utilization degree of the comprehensive detection information of the sensor is not high, and provides the river water quality monitoring and early warning system and the river water quality monitoring and early warning method which are high in detection sensitivity and good in accuracy.
In order to achieve the purpose, the invention adopts the following technical scheme:
a river water quality monitoring and early warning system comprises a plurality of floaters made of foam materials, dissolved oxygen sensors, temperature sensors, pH value sensors, ammonia nitrogen sensors, phosphate sensors and turbidity sensors, wherein the floaters are arranged in a river; the floater comprises a shell, and a processor, a wireless transmitter, a memory, a GPS (global positioning system) position indicator, a guide motor and 3 power motors which are arranged in the shell, wherein a guide block and 3 propellers are arranged at the lower part of the shell, the 3 power motors are respectively connected with the 3 propellers, the guide motor is connected with the guide block, and the processor is respectively and electrically connected with the wireless transmitter, the memory, the GPS position indicator, the guide motor, the 3 power motors, a dissolved oxygen sensor, a temperature sensor, a pH value sensor, an ammonia nitrogen sensor, a phosphate sensor and a turbidity sensor; also included is a computer and a wireless receiver electrically connected to the computer.
The water quality monitoring system comprises a processor, a wireless transmitter, a wireless receiver, a computer, a dissolved oxygen sensor, a temperature sensor, a pH value sensor, an ammonia nitrogen sensor, a phosphate sensor and a turbidity sensor, wherein the wireless transmitter is used for transmitting a detection signal to the processor, the wireless receiver is used for receiving the detection signal, and the computer is used for processing the detection signal and making a water quality judgment.
Preferably, the lower part of the shell is provided with a cylindrical metal net with an opening at the upper end, and the dissolved oxygen sensor, the temperature sensor, the pH value sensor, the ammonia nitrogen sensor, the phosphate sensor and the turbidity sensor are all positioned in the metal net.
Preferably, the inner side of the metal net is provided with a brush, the shell is internally provided with a brush motor which drives the brush to rotate along the inner peripheral surface of the metal net, and the brush motor is electrically connected with the processor.
Preferably, the edge of the shell is provided with an annular edge, an annular cavity is arranged in the annular edge, and helium is filled in the annular cavity.
Preferably, the housing comprises a rectangular body and a triangular body provided at the front of the rectangular body, the guide block is located at the lower part of the triangular body, and the 3 propellers are located at the lower part of the rectangular body.
A method of a river water quality monitoring and early warning system comprises the following steps:
(6-1) the storage is provided with a region where each floater is located, the GPS position indicator of each floater detects the region where each floater is located, the processor of each floater controls the steering of the guide block through the guide motor, and the processor of each floater controls 3 propellers to rotate through 3 power motors respectively, so that each floater is located in the set region all the time;
(6-2) respectively detecting dissolved oxygen, water temperature, pH value, ammonia nitrogen content, phosphate content and turbidity by using a dissolved oxygen sensor, a temperature sensor, a pH value sensor, an ammonia nitrogen sensor, a phosphate sensor and a turbidity sensor;
(6-3) the processor controls the wireless transmitter to transmit the detection signals of all the sensors, the wireless receiver receives the detection signals, and the computer averages the detection signals of all the sensors to obtain an average detection signal of each sensor;
(6-4) the average detection signal of each sensor is processed as follows:
for each time T in the average detection signal, the computer calculates a voltage amplitude mean value Vu (T), a voltage amplitude maximum value MA (T) and a voltage amplitude minimum value MI (T) from the time T-T to the time T;
setting up
Wherein,
setting V (t) of a dissolved oxygen sensor, a temperature sensor, a pH value sensor, an ammonia nitrogen sensor, a phosphate sensor and a turbidity sensor as Vs1(t)、Vs2(t)、Vs3(t)、Vs4(t)、Vs5(t) and Vs6(t)；
The average detection signal is converted, the problem of misjudgment and misinformation caused by instability of detection data is avoided, the average value, the maximum value and the minimum value which have statistical significance are adopted for representing the monitoring condition of the sensor, if the average value and the maximum value fluctuate, the average value and the maximum value can be sensed more sensitively, and the monitoring sensitivity is improved.
(6-5) Using the formulaCalculating a comprehensive judgment index Eva (t);
when Eva (t) is not less than R11.4, the computer judges that the water quality is good at the current moment;
when R1 is more than Eva (t) and more than R20.8, the computer judges that the water quality is neutral at the current moment;
when Eva (t) < R20.8, the computer makes a judgment on the water quality difference at the current moment.
Preferably, the processor controls the wireless transmitter to transmit the position information detected by the GPS locator, and the computer correlates the position information with the water quality judgment result.
Preferably, a cylindrical metal net with an opening at the upper end is arranged at the lower part of a shell of the river water quality monitoring and early warning system, and the dissolved oxygen sensor, the temperature sensor, the PH value sensor, the ammonia nitrogen sensor, the phosphate sensor and the turbidity sensor are all positioned in the metal net; the inner side of the metal mesh is provided with a brush, a brush motor for driving the brush to rotate along the inner circumferential surface of the metal mesh is arranged in the shell, and the brush motor is electrically connected with the processor;
the step (6-2) further comprises the following steps: the processor controls the brush motor to drive the brush to brush sundries and dirt on the inner peripheral surface of the metal net.
Preferably, R1 is 1.3 to 1.5; r2 is 0.6 to 0.9.
Therefore, the invention has the following beneficial effects: the detection sensitivity is high, the accuracy is good, and the monitoring range is wide.
Drawings
FIG. 1 is a schematic diagram of an embodiment of the present invention;
FIG. 2 is a functional block diagram of the present invention;
fig. 3 is a flow chart of the present invention.
In the figure: the device comprises a floater 1, a dissolved oxygen sensor 2, a temperature sensor 3, a pH value sensor 4, an ammonia nitrogen sensor 5, a phosphate sensor 6, a turbidity sensor 7, a computer 8, a wireless receiver 9, a shell 11, a processor 12, a wireless transmitter 13, a memory 14, a GPS locator 15, a guide motor 16, a power motor 17, a guide block 18, a propeller 19, a metal net 20, a brush motor 202 and an annular edge 203.
Detailed Description
The invention is further described with reference to the following figures and detailed description.
The embodiment shown in fig. 1 and 2 is a river water quality monitoring and early warning system, which comprises 20 floaters 1 made of foam materials, a dissolved oxygen sensor 2, a temperature sensor 3, a pH sensor 4, an ammonia nitrogen sensor 5, a phosphate sensor 6 and a turbidity sensor 7, wherein the floaters are arranged in a river; the floater comprises a shell 11, a processor 12, a wireless transmitter 13, a memory 14, a GPS locator 15, a guide motor 16 and 3 power motors 17, wherein the processor 12, the wireless transmitter 13, the memory 14, the GPS locator 15, the guide motor 16 and the 3 power motors 17 are arranged in the shell; also included is a computer 8 and a wireless receiver 9 electrically connected to the computer.
The lower part of the shell is provided with a cylindrical metal net 20 with an opening at the upper end, and the dissolved oxygen sensor, the temperature sensor, the PH value sensor, the ammonia nitrogen sensor, the phosphate sensor and the turbidity sensor are all positioned in the metal net.
The inner side of the metal mesh is provided with a brush, the shell is internally provided with a brush motor 202 which drives the brush to rotate along the inner peripheral surface of the metal mesh, and the brush motor is electrically connected with the processor.
The edge of the shell is provided with an annular edge 203, an annular cavity is arranged in the annular edge, and helium is filled in the annular cavity.
The casing includes the cuboid with locate the anterior triangle-shaped body of cuboid, the guide block is located the triangle-shaped body lower part, and 3 propellers are located the cuboid lower part.
As shown in fig. 3, the method of the river water quality monitoring and early warning system includes the following steps:
step 100, each floater moves in the same region
The storage is provided with regions where the floaters are located, the GPS position indicators of the floaters detect the regions where the floaters are located, the processors of the floaters control the steering of the guide blocks through the guide motors, and the processors of the floaters respectively control the rotation of the 3 propellers through the 3 power motors, so that the floaters are located in the set regions all the time;
200, various sensors detect water quality parameters
The dissolved oxygen sensor, the temperature sensor, the pH value sensor, the ammonia nitrogen sensor, the phosphate sensor and the turbidity sensor are used for respectively detecting dissolved oxygen, water temperature, pH value, ammonia nitrogen content, phosphate content and turbidity; the processor controls the brush motor to drive the brush to brush sundries and dirt on the inner peripheral surface of the metal net.
Step 300, the computer calculates the average detection signal of each sensor
The processor controls the wireless transmitter to transmit detection signals of all the sensors, the wireless receiver receives the detection signals, and the computer averages the detection signals of all the sensors to obtain an average detection signal of each sensor;
step 400, processing the average detection signal of each sensor
For each time T in the average detection signal, the computer calculates a voltage amplitude mean value Vu (T), a voltage amplitude maximum value MA (T) and a voltage amplitude minimum value MI (T) from the time T-T to the time T;
setting up
Wherein,
setting V (t) of a dissolved oxygen sensor, a temperature sensor, a pH value sensor, an ammonia nitrogen sensor, a phosphate sensor and a turbidity sensor as Vs1(t)、Vs2(t)、Vs3(t)、Vs4(t)、Vs5(t) and Vs6(t)；
Step 500, water quality judgment
Using formulasCalculating a comprehensive judgment index Eva (t);
when the Eva (t) is more than or equal to 1.4, the computer judges that the water quality is good at the current moment;
when 1.4 is more than Eva (t) and is more than or equal to 0.8, the computer judges that the water quality is neutral at the current moment;
when Eva (t) is less than 0.8, the computer judges the water quality difference at the current moment.
The processor controls the wireless transmitter to transmit the position information detected by the GPS locator, and the computer associates the position information with the water quality judgment result.
It should be understood that this example is for illustrative purposes only and is not intended to limit the scope of the present invention. Further, it should be understood that various changes or modifications of the present invention may be made by those skilled in the art after reading the teaching of the present invention, and such equivalents may fall within the scope of the present invention as defined in the appended claims.
Claims (9)
1. A riverway water quality monitoring and early warning system is characterized by comprising a plurality of floaters (1) which are arranged in a riverway and made of foam materials, dissolved oxygen sensors (2) arranged on the floaters, temperature sensors (3), pH value sensors (4), ammonia nitrogen sensors (5), phosphate sensors (6) and turbidity sensors (7); the floater comprises a shell (11), a processor (12) arranged in the shell, a wireless emitter (13), a storage (14), a GPS (global positioning system) locator (15), a guide motor (16) and 3 power motors (17), a guide block (18) and 3 propellers (19) arranged at the lower part of the shell, wherein the 3 power motors are respectively connected with the 3 propellers, the guide motor is connected with the guide block, and the processor is respectively and electrically connected with the wireless emitter, the storage, the GPS locator, the guide motor, the 3 power motors, a dissolved oxygen sensor, a temperature sensor, a pH value sensor, an ammonia nitrogen sensor, a phosphate sensor and a turbidity sensor; also includes a computer (8) and a wireless receiver (9) electrically connected to the computer.
2. The riverway water quality monitoring and early warning system as claimed in claim 1, wherein the lower part of the shell is provided with a cylindrical metal net (20) with an opening at the upper end, and the dissolved oxygen sensor, the temperature sensor, the pH value sensor, the ammonia nitrogen sensor, the phosphate sensor and the turbidity sensor are all positioned in the metal net.
3. The riverway water quality monitoring and early warning system as claimed in claim 2, wherein a brush is arranged inside the metal net, a brush motor (202) for driving the brush to rotate along the inner peripheral surface of the metal net is arranged in the shell, and the brush motor is electrically connected with the processor.
4. The river water quality monitoring and early warning system according to claim 1, wherein the shell is provided with an annular edge (203) at the edge, an annular cavity is arranged in the annular edge, and helium is filled in the annular cavity.
5. The riverway water quality monitoring and early warning system according to claim 1, 2, 3 or 4, wherein the housing comprises a rectangular body and a triangular body arranged at the front part of the rectangular body, the guide block is positioned at the lower part of the triangular body, and the 3 propellers are positioned at the lower part of the rectangular body.
6. The method for monitoring and early warning the river channel water quality is characterized by comprising the following steps of:
(6-1) the storage is provided with a region where each floater is located, the GPS position indicator of each floater detects the region where each floater is located, the processor of each floater controls the steering of the guide block through the guide motor, and the processor of each floater controls 3 propellers to rotate through 3 power motors respectively, so that each floater is located in the set region all the time;
(6-2) respectively detecting dissolved oxygen, water temperature, pH value, ammonia nitrogen content, phosphate content and turbidity by using a dissolved oxygen sensor, a temperature sensor, a pH value sensor, an ammonia nitrogen sensor, a phosphate sensor and a turbidity sensor;
(6-3) the processor controls the wireless transmitter to transmit the detection signals of all the sensors, the wireless receiver receives the detection signals, and the computer averages the detection signals of all the sensors to obtain an average detection signal of each sensor;
(6-4) processing the average detection signal of each sensor as follows:
for each time T in the average detection signal, the computer calculates a voltage amplitude mean value Vu (T), a voltage amplitude maximum value MA (T) and a voltage amplitude minimum value MI (T) from the time T-T to the time T;
setting up
Wherein,
setting V (t) of a dissolved oxygen sensor, a temperature sensor, a pH value sensor, an ammonia nitrogen sensor, a phosphate sensor and a turbidity sensor as Vs1(t)、Vs2(t)、Vs3(t)、Vs4(t)、Vs5(t) and Vs6(t)；
(6-5) Using the formulaCalculating a comprehensive judgment index Eva (t);
when the Eva (t) is not less than R1, the computer judges that the water quality is good at the current moment;
when R1 is more than Eva (t) and more than or equal to R2, the computer judges that the water quality is neutral at the current moment;
when Eva (t) < R2, the computer makes a judgment on the water quality difference at the current moment.
7. The method of claim 6, wherein the processor controls the wireless transmitter to transmit the position information detected by the GPS locator, and the computer correlates the position information with the water quality determination result.
8. The method of the river water quality monitoring and early warning system according to claim 6, wherein a cylindrical metal net with an opening at the upper end is arranged at the lower part of a shell of the river water quality monitoring and early warning system, and the dissolved oxygen sensor, the temperature sensor, the pH value sensor, the ammonia nitrogen sensor, the phosphate sensor and the turbidity sensor are all positioned in the metal net; the inner side of the metal mesh is provided with a brush, a brush motor for driving the brush to rotate along the inner circumferential surface of the metal mesh is arranged in the shell, and the brush motor is electrically connected with the processor; the method is characterized in that the step (6-2) further comprises the following steps: the processor controls the brush motor to drive the brush to brush sundries and dirt on the inner peripheral surface of the metal net.
9. The method of the river channel water quality monitoring and early warning system as claimed in claim 6, 7 or 8, wherein R1 is 1.3 to 1.5; r2 is 0.6 to 0.9.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201610686196.3A CN106560712B (en) | 2016-08-17 | 2016-08-17 | River water quality monitoring and pre-warning system and method |
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| CN201610686196.3A CN106560712B (en) | 2016-08-17 | 2016-08-17 | River water quality monitoring and pre-warning system and method |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN110286205A (en) * | 2019-07-19 | 2019-09-27 | 海南壹联科技有限公司 | A kind of integrated type sensor |
| CN113311129A (en) * | 2021-05-25 | 2021-08-27 | 长江水利委员会水文局长江下游水文水资源勘测局 | Automatic river water quality monitoring and early warning device and using method thereof |
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| CN106560712B (en) | 2018-12-14 |
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| CF01 | Termination of patent right due to non-payment of annual fee | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20181214 |