CN113603242B - DAS (data acquisition system) technology-based method for monitoring regional aeration effect in aeration - Google Patents

DAS (data acquisition system) technology-based method for monitoring regional aeration effect in aeration Download PDF

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CN113603242B
CN113603242B CN202110785434.7A CN202110785434A CN113603242B CN 113603242 B CN113603242 B CN 113603242B CN 202110785434 A CN202110785434 A CN 202110785434A CN 113603242 B CN113603242 B CN 113603242B
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CN113603242A (en
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许鲁亮
施海仁
胡飞
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Anhui Fusheng Information Technology Co ltd
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    • CCHEMISTRY; METALLURGY
    • C02TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
    • C02FTREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
    • C02F7/00Aeration of stretches of water
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02WCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO WASTEWATER TREATMENT OR WASTE MANAGEMENT
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    • Y02W10/10Biological treatment of water, waste water, or sewage

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Abstract

The invention discloses a method for monitoring regional aeration effect in aeration based on DAS technology, which relates to the technical field of water treatment, wherein the quantity, efficiency and diameter of bubbles in an aeration tank are respectively analyzed through an aeration parameter analysis module, so that the bubble state in the aeration tank can be comprehensively obtained, and when the bubble state in the aeration tank is abnormal, the factors causing the abnormal bubble state can be quickly known through an aeration state oscillogram, so that managers can quickly respond conveniently, and according to the analysis result of the aeration parameter analysis module, an aeration adjustment module adjusts the quantity and size of the bubbles in the aeration tank by adjusting the working parameters of an aeration disc, so that the integral operation efficiency of the aeration tank is improved.

Description

DAS (data acquisition system) technology-based method for monitoring regional aeration effect in aeration
Technical Field
The invention belongs to the technical field of water treatment, and particularly relates to a method for monitoring regional aeration effect in aeration based on DAS technology.
Background
The coherent Rayleigh scattering light phase instead of the light intensity is used for detecting signals such as sound or vibration in an audio frequency range, the sound or vibration event intensity information can be provided by using the phase amplitude, and the acquisition of the sound or vibration event phase and frequency information can be realized by using the linear quantitative measurement value. The DAS can be considered as a mobile interferometric acoustic wave sensor that detects an external signal on a sensing optical fiber, and when a linear change of an interference optical phase at a position is caused by sound or vibration, a quantitative measurement of an external physical quantity can be realized by extracting interference signals at different times at the position and demodulating the interference signals.
The patent document with the publication number of CN107010717A discloses an automatic detection and control device of a biological aerated filter, wherein the detection device comprises an online water level detector, an online turbidity meter and an online dissolved oxygen meter; the control device comprises a PLC controller and a computer which are connected with each other, a sound control sensor connected with the PLC controller, an electric proportional solenoid valve connected with the sound control sensor, and a water inlet adjusting module, an air compressor control module, a solenoid valve control module and a backwashing control module which are respectively connected with the PLC controller; the automatic detection device is connected with the electric proportional electromagnetic valve of the control device, and the PLC and the computer control the automatic detection of the electric proportional electromagnetic valve. The device detects the water level, the turbidity and the dissolved oxygen concentration of the filter tank in real time, transmits the detected data to the computer, compares the detected data with a process set value by the computer, starts the control device to control the inflow and the aeration of the filter tank according to a comparison result, has high automation degree and uniform aeration, and ensures the long-term stable operation of the biological aerated filter tank.
The double-membrane theory considers that an air membrane and a liquid membrane exist on a 'gas-water' interface, and air and liquid flow exists outside the air membrane and the liquid membrane, and belongs to a turbulent flow state; the air film and the liquid film are in a laminar state, convection does not exist, and air pressure gradient and concentration gradient can occur under certain conditions. If the concentration of oxygen in the liquid film is lower than the saturation concentration of oxygen in water, oxygen in the air continuously diffuses inwards and permeates the liquid film to enter the water body, so that the liquid film and the air film become barriers to oxygen transfer, and the operating efficiency of the aeration tank is low; in order to solve the problems, a method for monitoring the regional aeration effect in aeration based on DAS technology is provided.
Disclosure of Invention
The invention aims to provide a method for monitoring the regional aeration effect in aeration based on DAS technology.
The technical problem to be solved by the invention is as follows: how to reduce the size of the bubbles, increase the number of the bubbles, improve the turbulence degree of the liquid and prolong the contact time of the bubbles and the liquid.
The purpose of the invention can be realized by the following technical scheme: a method for monitoring regional aeration effect in aeration based on DAS technology specifically comprises the following steps:
the method comprises the following steps: an aeration disc is arranged at a position which is L1 away from the bottom of the aeration tank;
step two: a DAS optical fiber induction area is arranged at a position which is L2 away from the bottom of the aeration tank;
step three: acquiring aeration parameters in the aeration tank through a DAS (data acquisition system), and identifying and monitoring the running state of the aeration tank according to the change of the aeration parameters;
step four: and adjusting the working process of the aeration tank according to the running state of the aeration tank.
As a further scheme of the present invention, the DAS system includes a control center, an aeration parameter acquisition module, an aeration parameter analysis module, an aeration adjustment module, and an information push module;
the aeration parameter acquisition module is used for acquiring aeration parameters in the aeration tank;
the aeration parameter analysis module is used for analyzing the aeration parameters acquired by the aeration parameter acquisition module, sending the analysis result to the aeration adjustment module through the information push module, and simultaneously generating a parameter change trend graph and a behavior log;
and the aeration adjusting module is used for adjusting the working parameters of the aeration disc according to the analysis result of the aeration parameter analysis module, so that the quantity and the size of the bubbles in the aeration tank are adjusted.
As a further scheme of the invention, the specific acquisition process of the aeration parameters comprises the following steps: acquiring the operation ventilation of the aeration disc, and marking the operation ventilation of the aeration disc; simultaneously acquiring the number of generated bubbles in the aeration disc in unit time T, and marking the number of generated bubbles; counting bubbles passing through the DAS optical fiber induction area in unit time, and recording the number of the bubbles passing through the DAS optical fiber induction area in unit time as n; marking each bubble separately; and acquiring the diameters of all bubbles passing through the DAS induction area in unit time.
As a further scheme of the invention, the DAS optical fiber induction zone is parallel to the bottom of the aeration tank, and the DAS optical fiber induction zone consists of a plurality of optical fiber induction wires which are distributed in a broken line manner in the aeration tank.
As a further aspect of the present invention, the analysis process of the aeration parameters specifically includes:
respectively obtaining the difference QC of bubbles, the aeration efficiency QX of an aeration tank and the deviation coefficient QD of the bubble diameter through calculation; comparing the aeration efficiency QX with a preset aeration efficiency range (QX 0, 100) of the system, when the aeration efficiency QX is in the preset aeration efficiency range (QX 0, 100), indicating that the aeration efficiency of the aeration tank is in a normal state, when the aeration efficiency QX is less than or equal to QX0, indicating that the aeration efficiency of the aeration tank is low, when QD is less than QD0, indicating that the diameters of the bubbles in the aeration tank are uniform, when QD is more than or equal to QD0, indicating that the diameters of the bubbles in the aeration tank are non-uniform, sequencing the bubbles in the aeration tank according to the diameters of the bubbles, recording the number of the bubbles with the diameters larger than the preset bubble diameter YR of the system as m, and finally generating an aeration state waveform diagram according to an analysis result.
As a further aspect of the present invention, the specific adjustment process of the aeration adjustment module comprises:
when m/n is larger than or equal to C, the diameter of the bubbles in the aeration tank is too large, the ventilation capacity of the aeration disc is reduced, and the number of the bubbles generated by the aeration disc is increased; when the diameters of the bubbles in the aeration tank are not uniform, adjusting the angle between the aeration disc and the bottom surface of the aeration tank; when the aeration efficiency of the aeration tank is low, the number of bubbles generated by the aeration disc per unit time is increased, and the ventilation quantity of the aeration disc is increased.
The invention has the beneficial effects that: through the bubble quantity in aeration tank, the diameter of efficiency and bubble is analyzed respectively of aeration parameter analysis module, thereby can the omnidirectional bubble state in the acquisition aeration tank, and when the bubble state in the aeration tank is unusual, can pass through aeration state oscillogram, know fast and lead to the unusual factor of bubble state, the managers of being convenient for respond fast, analysis result according to aeration parameter analysis module, the aeration adjustment module is through the working parameter of adjustment aeration dish, thereby adjust bubble quantity and bubble size in the aeration tank, and then improve the whole operating efficiency of aeration tank.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a flow chart of a method for monitoring the effectiveness of regional aeration in aeration based on DAS technology;
FIG. 2 is a schematic block diagram of a DAS system for monitoring the aeration effect of a region in aeration based on DAS technology;
FIG. 3 is a schematic view of DAS fiber sensing zone of a method for monitoring regional aeration effect in aeration based on DAS technology;
fig. 4 is a schematic diagram of the distribution of the internal structure of an aeration tank of a method for monitoring the regional aeration effect in aeration based on the DAS technology.
Detailed Description
Example 1
As shown in fig. 1-3, a method for monitoring regional aeration effect in aeration based on DAS technology specifically comprises the following steps:
the method comprises the following steps: an aeration disc is arranged at a position which is L1 away from the bottom of the aeration tank;
step two: arranging a DAS optical fiber induction area at a position which is at a distance of L2 from the bottom of the aeration tank, wherein the DAS optical fiber induction area is parallel to the bottom of the aeration tank and consists of a plurality of optical fiber induction lines which are distributed in a broken line manner in the aeration tank, the angle between adjacent optical fiber induction lines is alpha, and the range of the alpha is 25-35 degrees in the actual arrangement process; by arranging the broken line type light sensing lines, the sensing range of the optical fiber sensing area is greatly enlarged, the number of monitored bubbles is larger, namely the number of data samples capable of providing analysis is larger, the analysis result is more accurate and reliable, and the DAS optical fiber sensing area is positioned right above the aeration disc;
step three: acquiring aeration parameters in the aeration tank through a DAS (data acquisition system), and identifying and monitoring the running state of the aeration tank according to the change of the aeration parameters; the DAS system comprises a control center, an aeration parameter acquisition module, an aeration parameter analysis module, an aeration adjustment module and an information push module.
Firstly, the aeration parameters in the aeration tank are obtained through an aeration parameter obtaining module, and the specific obtaining process comprises the following steps:
step Q1: acquiring the operation ventilation of the aeration disc, and recording the operation ventilation of the aeration disc as TQ;
step Q2: acquiring the quantity QS of generated bubbles in the unit time T of the aeration disc;
and step Q3: counting bubbles passing through the DAS optical fiber sensing area in unit time, and recording the number of the bubbles passing through the DAS optical fiber sensing area in unit time as n; labeling each bubble as i, where i =1,2, … …, n;
step Q4: acquiring the diameters of all bubbles in the sensing area through the DAS in unit time, and marking the diameters of the bubbles as QZ i
Step Q5: and sending the parameters obtained in the steps Q1-Q4 to an aeration parameter analysis module.
The aeration parameter analysis module is used for analyzing the aeration parameters acquired by the aeration parameter acquisition module and generating a parameter change trend graph and a behavior log at the same time, wherein the aeration parameter analysis process specifically comprises the following steps:
step F1: obtaining a bubble difference QC through a formula QC = | QS-n |;
step F2: by the formula
Figure BDA0003159072290000061
Obtaining the aeration efficiency QX of the aeration tank; wherein beta is a system factor, and beta is more than or equal to 0;
step F3: comparing the aeration efficiency QX with a preset aeration efficiency range (QX 0, 100) of the system, wherein when the aeration efficiency QX is within the preset aeration efficiency range (QX 0, 100) of the system, the aeration efficiency of the aeration tank is in a normal state, and when the aeration efficiency QX is less than or equal to QX0, the aeration efficiency of the aeration tank is low;
step F4: by the formula
Figure BDA0003159072290000062
Obtaining a deviation coefficient QD of the bubble diameter;
step F5: when QD is less than QD0, the diameter of the bubbles in the aeration tank is uniform; when QD is more than or equal to QD0, the diameter of the bubbles in the aeration tank is not uniform;
step F6: sequencing the bubbles in the aeration tank according to the sizes of the bubble diameters, and recording the number of the bubbles with the bubble diameters larger than the preset bubble diameter YR of the system as m;
step F7: and F1, sending the analysis results of the steps F1 to F6 to an aeration adjusting module, and generating an aeration state oscillogram.
Step four: adjusting the working process of the aeration tank through an aeration adjusting module according to the running state of the aeration tank, wherein the aeration adjusting module is used for adjusting the working parameters of the aeration disc according to the analysis result of the aeration parameter analysis module so as to adjust the quantity and the size of bubbles in the aeration tank, and the specific adjusting process of the aeration adjusting module comprises the following steps:
step Z1: when m/n is larger than or equal to C, the diameter of the bubbles in the aeration tank is too large, the ventilation capacity of the aeration disc is reduced, and the number of the bubbles generated by the aeration disc is increased; wherein C is a preset large-diameter bubble proportion threshold value of the system;
step Z2: when the diameters of the bubbles in the aeration tank are not uniform, the angle between the aeration disc and the bottom surface of the aeration tank is adjusted;
step Z3: when the aeration efficiency of the aeration tank is low, the number of bubbles generated by the aeration disc per unit time is increased, and the ventilation quantity of the aeration disc is increased.
Example 2
In the specific implementation process, an aeration effect reference model can be established, and the establishment process of the aeration effect reference model comprises the following steps: acquiring vibration sound waves of an aeration disc at the bottom of the aeration tank in the air injection process, and recording the number and the size of bubbles under the sound waves, wherein water in the aeration tank is clean water at the moment; generating a voiceprint atlas according to the vibration sound wave, and recording the voiceprint atlas as a comparison reference atlas; when water in the aeration tank is sewage, can't direct observation this moment bubble quantity and size in the aeration tank, then through acquireing the vibration sound wave of installing the aeration dish in the aeration tank bottom at the jet-propelled process, and convert the vibration sound wave into the vocal print atlas, then match vocal print atlas and contrast benchmark atlas, when the vocal print atlas matches the result with the contrast benchmark atlas for unanimous, then it is normal to show aeration tank operating condition, otherwise then it is unusual to show aeration tank operating condition, through the vibration sound wave to the aeration dish when jet-propelled, indirect completion is to the monitoring of bubble quantity and size in the sewage.
Example 3
As shown in fig. 4, in a specific implementation process, two DAS optical fiber sensing areas are arranged above an aeration disc, the two DAS optical fiber sensing areas are located at different heights, then the sizes and the quantities of bubbles are recorded in a clear water state of an aeration tank, voiceprint maps of the aeration disc in an air injection process are recorded respectively, the voiceprint maps are marked as a first comparison reference map and a second comparison reference map respectively, when the aeration disc is in a sewage state, voiceprint maps of the aeration disc in the air injection process, which are obtained by the two DAS optical fibers respectively, are recorded, the two voiceprint maps are matched with the first comparison reference map and the second comparison reference map respectively, when a voiceprint map formed by vibration sound waves of the aeration disc is consistent with matching results of the first comparison reference map and the second comparison reference map, the working state of the aeration tank is normal, otherwise, the working state of the aeration tank is abnormal, and two DAS optical fiber sensing areas are arranged in the aeration tank, so that two sets of detection data can be obtained and combined, and the detection results are more accurate.
The above formulas are all calculated by removing dimensions and taking numerical values thereof, the formula is a formula which is obtained by acquiring a large amount of data and performing software simulation to obtain the most approximate real condition, and the preset parameters and the preset threshold values in the formula are set by the technical personnel in the field according to the actual condition or obtained by simulating a large amount of data.
The foregoing is illustrative and explanatory of the structure of the invention, and various modifications, additions or substitutions in similar manner to the specific embodiments described may be made by those skilled in the art without departing from the structure of the invention or exceeding the scope defined by the claims, and furthermore, the terms "first" and "second" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or as implying any number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of the present invention, "a plurality" means at least two, e.g., two, three, etc., unless specifically limited otherwise.

Claims (2)

1. A DAS technology-based method for monitoring regional aeration effect in aeration is characterized by comprising the following steps:
the method comprises the following steps: an aeration disc is arranged at a position which is L1 away from the bottom of the aeration tank;
step two: a DAS optical fiber sensing area is arranged at a position which is L2 away from the bottom of the aeration tank;
step three: acquiring aeration parameters in the aeration tank through a DAS (data acquisition system), and identifying and monitoring the running state of the aeration tank according to the change of the aeration parameters;
step four: adjusting the working process of the aeration tank according to the running state of the aeration tank;
the DAS system comprises a control center, an aeration parameter acquisition module, an aeration parameter analysis module, an aeration adjustment module and an information push module;
the aeration parameter acquisition module is used for acquiring aeration parameters in the aeration tank;
the aeration parameter analysis module is used for analyzing the aeration parameters acquired by the aeration parameter acquisition module, sending the analysis result to the aeration adjustment module through the information push module, and simultaneously generating a parameter change trend graph and a behavior log;
the aeration adjusting module is used for adjusting the working parameters of the aeration disc according to the analysis result of the aeration parameter analysis module, so as to adjust the quantity and size of the bubbles in the aeration tank;
the acquisition process of the aeration parameters comprises the following steps: obtaining vibration sound waves of an aeration disc and an aeration disc in the air injection process, and generating a voiceprint map according to the vibration sound waves;
the DAS optical fiber induction area is parallel to the bottom of the aeration tank and consists of a plurality of optical fiber induction lines which are distributed in a broken line manner in the aeration tank;
the analysis process of the aeration parameters specifically comprises the following steps:
when the aeration tank is clean water, vibration sound waves of the aeration disc in the air injection process are obtained, the number and the size of bubbles under the sound waves are recorded, and a comparison reference map is generated according to the vibration sound waves; when the water in the aeration tank is sewage, matching the voiceprint atlas generated by the vibration sound wave of the aeration disc in the air injection process in the obtained working process of the aeration tank with the comparison reference atlas, and when the matching result of the voiceprint atlas and the comparison reference atlas is consistent, indicating that the working state of the aeration tank is normal, otherwise, indicating that the working state of the aeration tank is abnormal.
2. The DAS-based method for monitoring regional aeration effect in aeration according to claim 1, wherein the specific adjustment process of the aeration adjustment module comprises:
when m/n is larger than or equal to C, the diameter of the bubbles in the aeration tank is too large, the ventilation capacity of the aeration disc is reduced, and the number of the bubbles generated by the aeration disc is increased; when the diameters of the bubbles in the aeration tank are not uniform, the angle between the aeration disc and the bottom surface of the aeration tank is adjusted; when the aeration efficiency of the aeration tank is low, the number of bubbles generated by the aeration disc per unit time is increased, and the ventilation quantity of the aeration disc is increased.
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Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CA2636886A1 (en) * 2008-08-25 2010-02-25 Gerard Voon Models, methods, techniques to make things work better, and automating these operations (m&t)
CN102107928A (en) * 2009-12-24 2011-06-29 四平市维邦机械装备有限公司 Pretreatment technique and equipment for degrading high-concentration organic waste water by power ultrasonic cavitation

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103508556A (en) * 2013-10-28 2014-01-15 上海纯元环保科技有限公司 Aeration capacity regulating system for aerobic sewage treatment
CN103641236A (en) * 2013-11-30 2014-03-19 中山欧麦克仪器设备有限公司 Intelligent aeration system with dissolved oxygen meter
GB2522266B (en) * 2014-01-21 2020-03-04 Tendeka As Sensor system
WO2016079231A1 (en) * 2014-11-19 2016-05-26 Hach Lange Gmbh Control of wastewater treatment based on regulatory period

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CA2636886A1 (en) * 2008-08-25 2010-02-25 Gerard Voon Models, methods, techniques to make things work better, and automating these operations (m&t)
CN102107928A (en) * 2009-12-24 2011-06-29 四平市维邦机械装备有限公司 Pretreatment technique and equipment for degrading high-concentration organic waste water by power ultrasonic cavitation

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
严寒地区冬季大棚保温对污水厂运行效率的影响;战乃岩等;《东北师大学报(自然科学版)》;20151220(第04期);1-2 *

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