CN106556682A - Animal farm wastewater treatment effect method of real-time - Google Patents
Animal farm wastewater treatment effect method of real-time Download PDFInfo
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- 238000000034 method Methods 0.000 title claims abstract description 19
- 230000000694 effects Effects 0.000 title claims abstract description 12
- 238000004065 wastewater treatment Methods 0.000 title claims abstract description 12
- 238000001514 detection method Methods 0.000 claims abstract description 68
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims abstract description 40
- 239000002351 wastewater Substances 0.000 claims abstract description 19
- OSVXSBDYLRYLIG-UHFFFAOYSA-N dioxidochlorine(.) Chemical compound O=Cl=O OSVXSBDYLRYLIG-UHFFFAOYSA-N 0.000 claims description 20
- 238000012544 monitoring process Methods 0.000 claims description 20
- 229910052751 metal Inorganic materials 0.000 claims description 18
- 239000002184 metal Substances 0.000 claims description 18
- ZAMOUSCENKQFHK-UHFFFAOYSA-N Chlorine atom Chemical compound [Cl] ZAMOUSCENKQFHK-UHFFFAOYSA-N 0.000 claims description 10
- 239000004155 Chlorine dioxide Substances 0.000 claims description 10
- FKNQFGJONOIPTF-UHFFFAOYSA-N Sodium cation Chemical compound [Na+] FKNQFGJONOIPTF-UHFFFAOYSA-N 0.000 claims description 10
- XKMRRTOUMJRJIA-UHFFFAOYSA-N ammonia nh3 Chemical compound N.N XKMRRTOUMJRJIA-UHFFFAOYSA-N 0.000 claims description 10
- 239000000460 chlorine Substances 0.000 claims description 10
- 229910052801 chlorine Inorganic materials 0.000 claims description 10
- 235000019398 chlorine dioxide Nutrition 0.000 claims description 10
- 229910001385 heavy metal Inorganic materials 0.000 claims description 10
- 229910001415 sodium ion Inorganic materials 0.000 claims description 10
- 230000002093 peripheral effect Effects 0.000 claims description 6
- 238000005070 sampling Methods 0.000 claims description 6
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 claims description 4
- 239000001301 oxygen Substances 0.000 claims description 4
- 229910052760 oxygen Inorganic materials 0.000 claims description 4
- 239000000126 substance Substances 0.000 claims description 4
- 230000007935 neutral effect Effects 0.000 claims description 3
- 238000012937 correction Methods 0.000 claims description 2
- 230000035945 sensitivity Effects 0.000 abstract description 4
- 230000002159 abnormal effect Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- VYZAMTAEIAYCRO-UHFFFAOYSA-N Chromium Chemical compound [Cr] VYZAMTAEIAYCRO-UHFFFAOYSA-N 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 229910052804 chromium Inorganic materials 0.000 description 1
- 239000011651 chromium Substances 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 150000002500 ions Chemical class 0.000 description 1
- QSHDDOUJBYECFT-UHFFFAOYSA-N mercury Chemical compound [Hg] QSHDDOUJBYECFT-UHFFFAOYSA-N 0.000 description 1
- 229910052753 mercury Inorganic materials 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 238000012545 processing Methods 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
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Abstract
The invention discloses a kind of animal farm wastewater treatment effect method of real-time, including computer, wireless receiver, 3 oval guide rails in wastewater disposal basin；Each oval guide rail one end is connected with waste water pool wall, and the other end is reached in the middle part of wastewater disposal basin；Water quality detecting device is equipped with each oval guide rail, each water quality detecting device includes housing, the processor in housing, memorizer, wireless transmitter and motor, lower housing portion is provided with the sensor group that can be stretched in water；Each water quality detecting device is by two rollers and oval guide rail contact, motor and the connection of the rotating shaft between two rollers；Wireless receiver and calculating mechatronics.The present invention has the characteristics of detection sensitivity is high, and accuracy is good.
Description
Technical Field
The invention relates to the technical field of water quality detection, in particular to a real-time monitoring method for the wastewater treatment effect of a farm, which has high detection sensitivity and good accuracy.
Background
From the development of sensors and information monitoring technologies, mature, stable and high-performance sensor products have been applied to various monitoring systems, and are expected to achieve optimization of information acquisition in cooperation with appropriate sensor data acquisition systems. However, since outdoor monitoring environment changes greatly, the format of monitoring information is complex, and the amount of information is large, if the data cannot be effectively pre-judged and timely processed, many abnormal data cannot be effectively identified, missing information will reduce the monitoring effectiveness of the sensor system, and the analysis of the monitoring data must be established on accurate and effective monitoring data, and the wrong or abnormal monitoring data will reduce the result of numerical analysis, thereby affecting the function and characteristic analysis of the system, bringing great errors to the subsequent data processing, and the normal information cannot be effectively utilized.
Disclosure of Invention
The invention aims to overcome the defect that a sensor of a monitoring method in the prior art has accidental acquisition errors, and provides a real-time monitoring method for the wastewater treatment effect of a farm, which has high detection sensitivity and good accuracy.
In order to achieve the purpose, the invention adopts the following technical scheme:
a method for monitoring the wastewater treatment effect of a farm in real time comprises a computer, a wireless receiver and 3 elliptical guide rails arranged in a wastewater pool; one end of each oval guide rail is connected with the wall of the wastewater pool, and the other end of each oval guide rail extends to the middle of the wastewater pool; each elliptical guide rail is provided with a water quality detection device, each water quality detection device comprises a shell, a processor, a memory, a wireless transmitter and a driving motor, the processor, the memory, the wireless transmitter and the driving motor are arranged in the shell, and the lower part of the shell is provided with a sensor group which can extend into water; each water quality detection device is contacted with the oval guide rail through two rollers, and the driving motor is connected with a rotating shaft arranged between the two rollers; the processor of each water quality detection device is respectively and electrically connected with the memory, the wireless transmitter, the driving motor and the sensor group; the wireless receiver is electrically connected with the computer;
the method comprises the following steps:
(1-1) the processor of each water quality detection device controls 2 rollers to rotate through a driving motor, and the shell drives the sensor group to reciprocate from the position close to the wall of the wastewater tank to the middle of the wastewater tank;
(1-2) each sensor group comprises a heavy metal sensor, an ammonia nitrogen sensor, a residual chlorine sensor, a pH value sensor, a chlorine dioxide sensor, a sodium ion sensor, a COD biosensor and a turbidity sensor;
the heavy metal sensor is used for detecting heavy metal ions, chromium, mercury and the like; the ammonia nitrogen sensor is used for detecting ammonia nitrogen content index in the water body, and the chlorine dioxide sensor is used for detecting residual chlorine content, and the chlorine dioxide sensor is used for detecting the oxide content of chlorine, and sodium ion sensor is used for detecting sodium ion's content, and COD biosensor is used for detecting chemical oxygen demand index, and the pH value sensor is used for detecting pH value, and the turbidity sensor is used for detecting the turbidity.
(1-3) the processor of each water quality detection device controls the wireless transmitter to transmit the detection signal of each sensor, the wireless receiver receives the detection signal, and the computer averages the detection signal of each sensor to obtain the average detection signal of each sensor;
(1-4) the average detection signals are all processed as follows:
for each time T in the average detection signal of each sensor, 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 time T-T to time T;
setting up
Wherein,
v (t) of a heavy metal sensor, an ammonia nitrogen sensor, a residual chlorine sensor, a pH value sensor, a chlorine dioxide sensor, a sodium ion sensor, a COD (chemical oxygen demand) biosensor and a turbidity sensor are respectively set as Vs1(t)、Vs2(t)、Vs3(t)、Vs4(t)、Vs5(t)、Vs6(t)、Vs7(t)、Vs8(t)；
(1-5) Using the formula
Calculating 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.
The sensors of the invention can move along the oval guide rails, so that the detected signals are more uniform and accurate, the heavy metal sensors, the ammonia nitrogen sensors, the residual chlorine sensors, the pH value sensors, the chlorine dioxide sensors, the sodium ion sensors, the COD biological sensors and the turbidity sensors can comprehensively measure the water quality of the wastewater tank, the processor controls the wireless transmitter to transmit the detection signals, the wireless receiver receives the detection signals, and the computer processes the detection signals and makes water quality judgment.
Preferably, the average detection signal in step (1-3) is processed as follows:
let the average detection signal of each sensor be s (n) ═ s (0), s (1),.., s (n-1)]Using the formulaDetermining the inheritance continuity of s (i),
when in useOrThen s (i) is deleted, i 1, 2.., n-2;
an average detection signal satisfying the inheritance continuity is obtained.
Preferably, the lower part of the shell is provided with a cylindrical metal net for accommodating each sensor, the shell is internally provided with a cylinder, the lower end of a telescopic rod of the cylinder is connected with the upper end of the cylindrical metal net, and the cylinder is electrically connected with the processor; the step (1-2) further comprises the following steps: the processor controls the cylinder to drive the metal net to descend to a preset height in the memory.
Preferably, the lower part of the shell is provided with a guide cylinder with an opening at the lower end, the metal net is positioned in the guide cylinder, and the peripheral wall of the guide cylinder is provided with a plurality of through holes which are arranged in a staggered manner; the metal net is contacted with the inner peripheral surface of the guide cylinder through a plurality of slide blocks, and the inner side of the lower edge of the guide cylinder is provided with an annular brush contacted with the metal net.
Preferably, the following correction steps are further included between steps (1-3) and (1-4):
selecting a plurality of sampling values with the time interval delta t from the average detection signal by the computer, and arranging the sampling values according to the time sequence to form a detection signal I (t);
for each sample value ES (t) of I (t) other than the first and last sample value1) Using the formulaCalculating a stability coefficient ratio;
the computer is preset with weight thresholds 0.5, 1 and 1.65 which are increased in sequence;
for ratio is located at [1-A1, 1+ A1]Sample values within the range are corrected to B1ES (t)1) A1 is 0.2 to 0.3, B1 is a real number less than 0.4;
for sample values with ratio in the range of (0.6, 1-A1) or (1+ A1, 1.65), the sample value is corrected to B2ES (t)1)，B1＜B2＜0.6；
Replacing the corresponding sample value in I (t) by the modified sample value to obtain a modified detection signal I (t), and replacing the average detection signal by the detection signal I (t).
Preferably, R1 is 5.7 to 6.3; r2 is 2.1 to 3.4.
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 functional block diagram of the present invention;
fig. 2 is a flow chart of the present invention.
In the figure: the device comprises a computer 1, a wireless receiver 2, a processor 3, a memory 4, a wireless transmitter 5, a driving motor 6, a sensor group 7, a cylinder 8, a heavy metal sensor 71, an ammonia nitrogen sensor 72, a residual chlorine sensor 73, a p11 value sensor 74, a chlorine dioxide sensor 75, a sodium ion sensor 76, a COD biosensor 77 and a turbidity sensor 78.
Detailed Description
The invention is further described with reference to the following figures and detailed description.
The embodiment shown in figure 1 is a method for monitoring the wastewater treatment effect of a farm in real time, which comprises a computer 1, a wireless receiver 2 and 3 elliptical guide rails arranged in a wastewater pool; one end of each oval guide rail is connected with the wall of the wastewater pool, and the other end of each oval guide rail extends to the middle of the wastewater pool; each elliptical guide rail is provided with a water quality detection device, each water quality detection device comprises a shell, a processor 3, a memory 4, a wireless transmitter 5 and a driving motor 6, which are arranged in the shell, and the lower part of the shell is provided with a sensor group 7 which can extend into water; each water quality detection device is contacted with the oval guide rail through two rollers, and the driving motor is connected with a rotating shaft arranged between the two rollers; the processor of each water quality detection device is respectively and electrically connected with the memory, the wireless transmitter, the driving motor and the sensor group; the wireless receiver is electrically connected with the computer;
the lower part of the shell is provided with a guide cylinder with an opening at the lower end, the metal net is positioned in the guide cylinder, and the peripheral wall of the guide cylinder is provided with through holes which are staggered; the metal net contacts with the inner peripheral surface of the guide cylinder through 4 sliding blocks, and the inner side of the lower edge of the guide cylinder is provided with an annular brush contacting with the metal net.
The lower part of the shell is provided with a cylindrical metal net for accommodating each sensor, a cylinder 8 is arranged in the shell, the lower end of a telescopic rod of the cylinder is connected with the upper end of the cylindrical metal net, and the cylinder is electrically connected with the processor;
as shown in fig. 2, the method comprises the following steps:
step 100, 3 sensor groups move along 3 elliptical guide rails respectively
The processor of each water quality detection device controls 2 rollers to rotate through a driving motor, and the shell drives the sensor group to reciprocate from the position close to the wall of the wastewater tank to the middle of the wastewater tank;
200, detecting water quality parameters by each sensor
Each sensor group comprises a heavy metal sensor 71, an ammonia nitrogen sensor 72, a residual chlorine sensor 73, a pH value sensor 74, a chlorine dioxide sensor 75, a sodium ion sensor 76, a COD biosensor 77 and a turbidity sensor 78 which are shown in figure 1, each sensor is electrically connected with a processor, and the processor controls an air cylinder to drive a metal net to descend to a preset height in a storage;
step 300, calculating an average detection signal
The processor of each water quality detection device controls the wireless transmitter to transmit detection signals of each sensor, the wireless receiver receives the detection signals, and the computer averages the detection signals of each sensor to obtain an average detection signal of each sensor;
let the average detection signal of each sensor be s (n) ═ s (0), s (1),.., s (n-1)]Using the formulaDetermining the inheritance continuity of s (i),
when in useOrThen s (i) is deleted, i 1, 2.., n-2;
an average detection signal satisfying the inheritance continuity is obtained.
Step 400, the average detection signals are all processed as follows:
for each time T in the average detection signal of each sensor, 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 time T-T to time T;
setting up
Wherein,
v (t) of a heavy metal sensor, an ammonia nitrogen sensor, a residual chlorine sensor, a pH value sensor, a chlorine dioxide sensor, a sodium ion sensor, a COD (chemical oxygen demand) biosensor and a turbidity sensor are respectively set as Vs1(t)、Vs2(t)、Vs3(t)、Vs4(t)、Vs5(t)、Vs6(t)、Vs7(t)、Vs8(t)；
Step 500, water quality judgment
Using formulasCalculating a comprehensive judgment index Eva (t);
when the Eva (t) is more than or equal to 6, the computer judges that the water quality is good at the current moment;
when the pressure is greater than 6 and greater than Eva (t) and greater than or equal to 3, the computer judges that the water quality is neutral at the current moment;
when Eva (t) < 3, the computer makes a judgment on the water quality difference at the current moment.
Example 2
Embodiment 2 includes all the structure and method parts of embodiment 1, and further includes the following modification steps between steps 300 and 400 of embodiment 2:
30000 sampling values with a time interval delta t are selected from the average detection signal by the computer, and all the sampling values are arranged according to the time sequence to form a detection signal I (t);
for each sample value ES (t) of I (t) other than the first and last sample value1) Using the formulaCalculating a stability coefficient ratio;
the computer is preset with weight thresholds 0.5, 1 and 1.65 which are increased in sequence;
for ratio is located at [1-A1, 1+ A1]Sample values within the range are corrected to B1ES (t)1) A1 is 0.25, B1 is a real number of 0.35;
for sample values with ratio in the range of (0.6, 1-A1) or (1+ A1, 1.65), the sample value is corrected to B2ES (t)1) B2 is 0.5;
replacing the corresponding sample value in I (t) by the modified sample value to obtain a modified detection signal I (t), and replacing the average detection signal by the detection signal I (t).
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 (6)
1. A method for monitoring the wastewater treatment effect of a farm in real time is characterized by comprising a computer (1), a wireless receiver (2) and 3 elliptical guide rails arranged in a wastewater pond; one end of each oval guide rail is connected with the wall of the wastewater pool, and the other end of each oval guide rail extends to the middle of the wastewater pool; each elliptical guide rail is provided with a water quality detection device, each water quality detection device comprises a shell, a processor (3), a memory (4), a wireless transmitter (5) and a driving motor (6) which are arranged in the shell, and the lower part of the shell is provided with a sensor group (7) which can extend into water; each water quality detection device is contacted with the oval guide rail through two rollers, and the driving motor is connected with a rotating shaft arranged between the two rollers; the processor of each water quality detection device is respectively and electrically connected with the memory, the wireless transmitter, the driving motor and the sensor group; the wireless receiver is electrically connected with the computer;
the method comprises the following steps:
(1-1) the processor of each water quality detection device controls 2 rollers to rotate through a driving motor, and the shell drives the sensor group to reciprocate from the position close to the wall of the wastewater tank to the middle of the wastewater tank;
(1-2) each sensor group comprises a heavy metal sensor, an ammonia nitrogen sensor, a residual chlorine sensor, a pH value sensor, a chlorine dioxide sensor, a sodium ion sensor, a COD biosensor and a turbidity sensor;
(1-3) the processor of each water quality detection device controls the wireless transmitter to transmit the detection signal of each sensor, the wireless receiver receives the detection signal, and the computer averages the detection signal of each sensor to obtain the average detection signal of each sensor;
(1-4) the average detection signals are all processed as follows:
for each time T in the average detection signal of each sensor, 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 time T-T to time T;
setting up
Wherein,v (t) of a heavy metal sensor, an ammonia nitrogen sensor, a residual chlorine sensor, a pH value sensor, a chlorine dioxide sensor, a sodium ion sensor, a COD (chemical oxygen demand) biosensor and a turbidity sensor are respectively set as Vs1(t)、Vs2(t)、Vs3(t)、Vs4(t)、Vs5(t)、Vs6(t)、Vs7(t)、Vs8(t)；
(1-5) Using the formula
Calculating 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.
2. The method for monitoring the effect of wastewater treatment in a farm in real time according to claim 1, wherein the average detection signal in the step (1-3) is processed as follows:
let the average detection signal of each sensor be s (n) ═ s (0), s (1),.., s (n-1)]Using the formulaDetermining the inheritance continuity of s (i),
when in useOrThen s (i) is deleted, i 1, 2.., n-2;
an average detection signal satisfying the inheritance continuity is obtained.
3. The method for monitoring the wastewater treatment effect of the farm according to claim 1, wherein a cylindrical metal net for accommodating each sensor is arranged at the lower part of the housing, a cylinder (8) is arranged in the housing, the lower end of a telescopic rod of the cylinder is connected with the upper end of the cylindrical metal net, and the cylinder is electrically connected with the processor; it is characterized in that the utility model is characterized in that,
the step (1-2) further comprises the following steps: the processor controls the cylinder to drive the metal net to descend to a preset height in the memory.
4. The method according to claim 1, wherein the lower part of the housing is provided with a guide cylinder with an opening at the lower end, the metal net is positioned in the guide cylinder, and the peripheral wall of the guide cylinder is provided with a plurality of through holes which are arranged in a staggered manner; the metal net is contacted with the inner peripheral surface of the guide cylinder through a plurality of slide blocks, and the inner side of the lower edge of the guide cylinder is provided with an annular brush contacted with the metal net.
5. The method for monitoring the effect of wastewater treatment in a farm in real time according to claim 1, wherein the steps (1-3) and (1-4) further comprise the following correction steps:
selecting a plurality of sampling values with the time interval delta t from the average detection signal by the computer, and arranging the sampling values according to the time sequence to form a detection signal I (t);
for each sample value ES (t) of I (t) other than the first and last sample value1) Using the formulaCalculating a stability coefficient ratio;
the computer is preset with weight thresholds 0.5, 1 and 1.65 which are increased in sequence;
for ratio is located at [1-A1, 1+ A1]Sample values within the range are corrected to B1ES (t)1) A1 is 0.2 to 0.3, B1 is a real number less than 0.4;
for sample values with ratio in the range of (0.6, 1-A1) or (1+ A1, 1.65), the sample value is corrected to B2ES (t)1)，
Replacing the corresponding sample value in I (t) by the modified sample value to obtain a modified detection signal I (t), and replacing the average detection signal by the detection signal I (t).
6. The method for monitoring the effect of wastewater treatment from a farm in real time according to claim 1, 2, 3, 4 or 5, wherein R1 is 5.7 to 6.3; r2 is 2.1 to 3.4.
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| CN113387403B (en) * | 2021-06-08 | 2022-02-22 | 广东鑫钻节能科技股份有限公司 | Cooling water recycling and purifying system for air compression station |
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