CN116199351A - Fault-tolerant control method, device, system and medium for dissolved oxygen meter of aeration tank - Google Patents

Fault-tolerant control method, device, system and medium for dissolved oxygen meter of aeration tank Download PDF

Info

Publication number
CN116199351A
CN116199351A CN202310186466.4A CN202310186466A CN116199351A CN 116199351 A CN116199351 A CN 116199351A CN 202310186466 A CN202310186466 A CN 202310186466A CN 116199351 A CN116199351 A CN 116199351A
Authority
CN
China
Prior art keywords
dissolved oxygen
aeration tank
oxygen
aeration
measurement model
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202310186466.4A
Other languages
Chinese (zh)
Inventor
胡轶波
陆平
王涛
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
HNAC Technology Co Ltd
Original Assignee
HNAC Technology Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by HNAC Technology Co Ltd filed Critical HNAC Technology Co Ltd
Priority to CN202310186466.4A priority Critical patent/CN116199351A/en
Publication of CN116199351A publication Critical patent/CN116199351A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B13/00Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
    • G05B13/02Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
    • G05B13/04Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators
    • G05B13/042Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators in which a parameter or coefficient is automatically adjusted to optimise the performance
    • 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
    • Y02W10/00Technologies for wastewater treatment
    • Y02W10/10Biological treatment of water, waste water, or sewage

Landscapes

  • Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Physics & Mathematics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Evolutionary Computation (AREA)
  • Automation & Control Theory (AREA)
  • Software Systems (AREA)
  • Artificial Intelligence (AREA)
  • Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Hydrology & Water Resources (AREA)
  • Environmental & Geological Engineering (AREA)
  • Water Supply & Treatment (AREA)
  • Chemical & Material Sciences (AREA)
  • Organic Chemistry (AREA)
  • Activated Sludge Processes (AREA)

Abstract

The application discloses a fault tolerance control method, device, system and medium for dissolved oxygen meters of an aeration tank, and relates to the technical field of environmental protection. The method comprises the following steps: under the condition that a fault of a dissolved oxygen meter is detected, acquiring an oxygen content parameter of an aeration tank system through a soft measurement model; wherein the oxygen content parameter comprises at least oxygen consumption rate and dissolved oxygen; determining the aeration quantity of the aeration tank system according to the oxygen content parameter; the air blower and the valve are controlled according to the aeration quantity to provide the required air quantity for the aeration tank through the aeration pipeline. In the method, when the dissolved oxygen meter fails, the oxygen content parameter of the aeration tank system can be obtained through the soft measurement model, and the aeration quantity of the aeration tank system can be determined after the oxygen content parameter is determined, so that the air blower and the valve are controlled according to the aeration quantity to provide required air quantity for the aeration tank through the aeration pipeline, and the aeration system can still normally operate when the dissolved oxygen meter fails as far as possible.

Description

Fault-tolerant control method, device, system and medium for dissolved oxygen meter of aeration tank
Technical Field
The application relates to the technical field of environmental protection, in particular to a fault tolerance control method, device, system and medium for dissolved oxygen meters of an aeration tank.
Background
The aeration tank Dissolved Oxygen (DO) control purpose in sewage treatment is to establish a dynamic balance and reliable living environment for microorganism growth and pollutant degradation, thereby indirectly ensuring the water quality of the effluent to reach the standard. The accurate aeration not only can improve the quality of the effluent water, but also can reduce the energy consumption of a sewage plant. Therefore, aeration control strategy research has been a long-felt hot spot in the sewage treatment industry.
The aeration control aims to control the dissolved oxygen to be near a desired value, thereby indirectly ensuring the normal operation of the biochemical system. During actual system operation, the dissolved oxygen on-line monitor probe may be blocked by polluted mud or the acquired data is abnormal due to other reasons, which often causes serious excessive or insufficient air supply of the accurate aeration system.
It follows that how to maintain reliable operation of an aeration system in case of failure of a dissolved oxygen monitor is a problem to be solved by those skilled in the art.
Disclosure of Invention
The purpose of the application is to provide a fault-tolerant control method, device, system and medium for dissolved oxygen meter faults of an aeration tank, which are used for keeping the reliable operation of an aeration system under the fault condition of a dissolved oxygen monitor.
In order to solve the technical problems, the application provides a fault tolerance control method for an oxygen dissolving instrument of an aeration tank, which comprises the following steps:
under the condition that a fault of a dissolved oxygen meter is detected, acquiring an oxygen content parameter of an aeration tank system through a soft measurement model; wherein the oxygen content parameter comprises at least oxygen consumption rate and dissolved oxygen;
determining the aeration quantity of the aeration tank system according to the oxygen content parameter;
and controlling a blower and a valve to provide required air quantity for the aeration tank through an aeration pipeline according to the aeration quantity.
Preferably, the establishing the soft measurement model includes:
obtaining the saturation of dissolved oxygen, the transfer coefficient of oxygen, the water inflow of an aeration tank, the oxygen consumption rate, the effective volume of the aeration tank and the reflux quantity of nitrified liquid of the aeration tank system;
establishing the soft measurement model according to the saturation of the dissolved oxygen, the transfer coefficient of the oxygen, the water inflow of the aeration tank, the oxygen consumption rate, the effective volume of the aeration tank and the reflux quantity of the nitrified liquid;
the soft measurement model is as follows:
Figure BDA0004104103720000021
Figure BDA0004104103720000022
Figure BDA0004104103720000023
/>
wherein C is sat To dissolve the saturated concentration of oxygen, K L a is the oxygen transfer coefficient, Q is the aeration tank inflow (m 3 Per h), OUR (t) is the oxygen consumption rate (mgL) of the aeration tank -1 h -1 ) The effective volume of the aeration tank is V (m 3 ),Q r Is the reflux quantity (m) 3 And/h), q is hydraulic retention time, and r is nitrified liquid reflux ratio.
Preferably, the obtaining of the oxygen content parameter of the aeration tank system by the soft measurement model comprises:
under the condition that the dissolved oxygen meter is detected to be normal, according to the actual dissolved oxygen measured by the dissolved oxygen meter and the estimated dissolved oxygen obtained by a pre-established soft measurement model;
updating the pre-established soft measurement model according to the relation between the actual dissolved oxygen and the estimated dissolved oxygen to obtain an updated soft measurement model;
and under the condition that the abnormality of the dissolved oxygen meter data is detected, acquiring the oxygen content parameter of the aeration tank system according to the updated soft measurement model.
Preferably, before said updating said pre-established soft measurement model according to said relation of said actual dissolved oxygen and said pre-estimated dissolved oxygen to obtain an updated soft measurement model, said method further comprises:
acquiring a cosine similarity function between the actual dissolved oxygen and the estimated dissolved oxygen;
judging whether the cosine similarity function meets a preset requirement or not;
if yes, the step of updating the pre-established soft measurement model according to the relation between the actual dissolved oxygen and the estimated dissolved oxygen to obtain an updated soft measurement model is entered.
Preferably, the method for diagnosing the fault of the dissolved oxygen meter comprises the following steps:
acquiring an actual dissolved oxygen sampling data sequence acquired by the dissolved oxygen meter at each moment, and estimating an estimated dissolved oxygen data sequence corresponding to each moment through the soft measurement model;
acquiring a residual sequence of the actual dissolved oxygen sampling data sequence and the estimated dissolved oxygen data sequence;
and checking the residual sequence through u-test to realize the diagnosis of the fault of the dissolved oxygen meter.
Preferably, updating the soft measurement model comprises:
establishing an optimization function according to the actual dissolved oxygen sampling data sequence, the estimated dissolved oxygen data sequence and the preset upper limit value and lower limit value of the oxygen consumption rate;
updating the soft measurement model according to the optimization function.
Preferably, after the oxygen consumption rate of the aeration tank system is obtained by the soft measurement model, before the aeration amount of the aeration tank system is determined according to the oxygen content parameter, the method further comprises:
judging whether the oxygen consumption rate is smaller than a preset value or not;
if not, the step of determining the aeration quantity of the aeration tank system according to the oxygen content parameter is carried out;
if so, outputting prompt information for representing the abnormal oxygen consumption rate of the aeration tank system.
In order to solve the technical problem, the application also provides a fault-tolerant control device for dissolved oxygen meters of an aeration tank, which comprises:
the obtaining module is used for obtaining oxygen content parameters of the aeration tank system through the soft measurement model under the condition that the dissolved oxygen meter is detected to be faulty; wherein the oxygen content parameter comprises at least oxygen consumption rate and dissolved oxygen;
the determining module is used for determining the aeration quantity of the aeration tank system according to the oxygen content parameter;
and the control module is used for controlling the blower and the valve to provide required air quantity for the aeration tank through the aeration pipeline according to the aeration quantity.
In order to solve the technical problem, the application also provides a fault-tolerant control system for dissolved oxygen meters of an aeration tank, which comprises:
a memory for storing a computer program;
and the processor is used for realizing the fault-tolerant control method of the dissolved oxygen meter of the aeration tank when executing the computer program.
In order to solve the technical problem, the application also provides a computer readable storage medium, wherein a computer program is stored on the computer readable storage medium, and the computer program realizes the steps of the fault tolerance control method for the dissolved oxygen meter of the aeration tank when being executed by a processor.
The fault tolerance control method for the dissolved oxygen meter of the aeration tank provided by the application comprises the following steps: under the condition that a fault of a dissolved oxygen meter is detected, acquiring an oxygen content parameter of an aeration tank system through a soft measurement model; wherein the oxygen content parameter comprises at least oxygen consumption rate and dissolved oxygen; determining the aeration quantity of the aeration tank system according to the oxygen content parameter; the air blower and the valve are controlled according to the aeration quantity to provide the required air quantity for the aeration tank through the aeration pipeline. In the method, when the dissolved oxygen meter fails, the oxygen content parameter of the aeration tank system can be obtained through the soft measurement model, and the aeration quantity of the aeration tank system can be determined after the oxygen content parameter is determined, so that the air blower and the valve are controlled according to the aeration quantity to provide required air quantity for the aeration tank through the aeration pipeline, and the aeration system can still normally operate when the dissolved oxygen meter fails as far as possible.
In addition, the application also provides a fault-tolerant control device, a fault-tolerant control system and a fault-tolerant control computer-readable storage medium for the dissolved oxygen meter of the aeration tank, which have the same or corresponding technical characteristics and effects as the fault-tolerant control method for the dissolved oxygen meter of the aeration tank.
Drawings
For a clearer description of the embodiments of the present application, the drawings that are needed in the embodiments will be briefly described, it being apparent that the drawings in the following description are only some embodiments of the present application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a fault tolerance control method for dissolved oxygen meters of an aeration tank according to an embodiment of the present application;
FIG. 2a is a graph showing the change of air volume and dissolved oxygen when a soft measurement model is not used in the case of failure of the dissolved oxygen meter according to the embodiment of the present application;
FIG. 2b is a graph showing the change of air volume and dissolved oxygen when a soft measurement model is used in the case of failure of the dissolved oxygen meter according to the embodiment of the present application;
FIG. 3 is a block diagram of a fault tolerant control system for dissolved oxygen meters of an aeration tank according to an embodiment of the present application;
FIG. 4 is a block diagram of an aeration tank dissolved oxygen meter fault tolerance control device provided in an embodiment of the present application;
FIG. 5 is a block diagram of a fault tolerant control system for dissolved oxygen meters of an aeration tank according to another embodiment of the present application.
Detailed Description
The following description of the technical solutions in the embodiments of the present application will be made clearly and completely with reference to the drawings in the embodiments of the present application, and it is apparent that the described embodiments are only some embodiments of the present application, but not all embodiments. All other embodiments obtained by those skilled in the art based on the embodiments herein without making any inventive effort are intended to fall within the scope of the present application.
The core of the application is to provide a fault-tolerant control method, device, system and medium for dissolved oxygen meter faults of an aeration tank, which are used for keeping the reliable operation of the aeration system under the fault condition of a dissolved oxygen monitor.
In the aeration tank system, the aim of aeration control is to control the dissolved oxygen to be near a desired value, thereby indirectly ensuring the normal operation of the biochemical system. During actual system operation, dissolved oxygen meter probes may become clogged with the contaminated mud or otherwise cause anomalies in the collected data, which often results in a significant excess or deficiency in the accurate aeration system air supply. Therefore, the method and the device not only measure the dissolved oxygen through the dissolved oxygen meter, but also estimate the oxygen content parameter of the aeration tank through the soft measurement model, so that the redundant control of the aeration tank system is realized, and even under the condition of the fault of the dissolved oxygen meter, the more accurate aeration value can be obtained, thereby ensuring the normal operation of the aeration tank system as much as possible.
In order to provide a better understanding of the present application, those skilled in the art will now make further details of the present application with reference to the drawings and detailed description. Fig. 1 is a flowchart of a fault-tolerant control method for dissolved oxygen meters of an aeration tank according to an embodiment of the present application, as shown in fig. 1, where the method includes:
s10: under the condition that a fault of a dissolved oxygen meter is detected, acquiring an oxygen content parameter of an aeration tank system through a soft measurement model; wherein the oxygen content parameter comprises at least oxygen consumption rate and dissolved oxygen;
s11: determining the aeration quantity of the aeration tank system according to the oxygen content parameter;
s12: the air blower and the valve are controlled according to the aeration quantity to provide the required air quantity for the aeration tank through the aeration pipeline.
The dissolved oxygen refers to the amount of molecular oxygen dissolved in water, and after a part of oxygen is consumed by microorganisms in a biochemical pond, the content of the residual oxygen is abbreviated as dissolved oxygen. When the biochemical tank is supplied with air, the dissolved oxygen changes with the air supply amount and the oxygen consumption rate of the microorganism. In the field of sewage treatment or the like, dissolved oxygen in sewage is generally measured by a dissolved oxygen meter. However, in practice, a fault of the dissolved oxygen meter may occur (the fault of the dissolved oxygen meter may refer to that data cannot be measured by the dissolved oxygen meter, but measured dissolved oxygen is higher or lower), for example, because a probe of the dissolved oxygen meter is placed in sewage, sludge in the sewage turns due to aeration, and the sludge wraps the probe, when the dissolved oxygen on-line detector measures the dissolved oxygen in the sewage and the actual dissolved oxygen is lower, an aeration system may generate excessive aeration to achieve a target dissolved oxygen control value; when the dissolved oxygen meter measures the dissolved oxygen in the sewage and the actual dissolved oxygen is higher, the aeration system can generate insufficient aeration condition in order to reach the target dissolved oxygen control value. The fault diagnosis mode of the dissolved oxygen meter is not limited, and is determined according to actual conditions.
When the dissolved oxygen meter cannot measure the dissolved oxygen, the aeration quantity of the aeration tank cannot be determined according to the dissolved oxygen; when the dissolved oxygen amount measured by the dissolved oxygen meter is inaccurate, the aeration tank cannot be aerated more accurately. Therefore, in the case of a malfunction of the dissolved oxygen meter, the present embodiment determines oxygen content parameters of the aeration tank system, such as oxygen consumption rate, dissolved oxygen, etc., through the soft measurement model.
Preferably, establishing the soft measurement model includes:
obtaining the saturation of dissolved oxygen, the transfer coefficient of oxygen, the water inflow of an aeration tank, the oxygen consumption rate, the effective volume of the aeration tank and the reflux quantity of nitrified liquid of an aeration tank system;
establishing a soft measurement model according to the saturation of dissolved oxygen, the transfer coefficient of oxygen, the water inflow of an aeration tank, the oxygen consumption rate, the effective volume of the aeration tank and the reflux quantity of nitrified liquid;
the soft measurement model is as follows:
Figure BDA0004104103720000061
Figure BDA0004104103720000062
Figure BDA0004104103720000063
wherein C is sat To dissolve the saturated concentration of oxygen, K L a is the oxygen transfer coefficient, Q is the aeration tank inflow (m 3 Per h), OUR (t) is the oxygen consumption rate (mgL) of the aeration tank -1 h -1 ) The effective volume of the aeration tank is V (m 3 ),Q r Is the reflux quantity (m) 3 And/h), q is hydraulic retention time, and r is nitrified liquid reflux ratio.
After the oxygen content parameter of the aeration tank system is obtained through the soft measurement model, the required aeration quantity (air quantity) of the aeration tank can be calculated according to the water inflow, the pre-estimated dissolved oxygen quantity of the soft measurement model and the set deviation of the dissolved oxygen quantity, and then the required air quantity is provided for the aeration tank through an aeration branch pipe or a main pipe valve according to the aeration quantity.
Under the condition that the dissolved oxygen meter is normal, the aeration quantity (air quantity) required by the aeration tank can be calculated directly according to the deviation of the water inflow quantity, the actual dissolved oxygen measured by the dissolved oxygen meter and the set dissolved oxygen quantity, and then the required air quantity is provided for the aeration tank through an aeration branch pipe or a main pipe valve according to the aeration quantity. Meanwhile, when the dissolved oxygen meter is normal, the soft measurement model can be optimized, so that when the dissolved oxygen meter is in fault, the oxygen content parameter of the aeration tank system can be accurately obtained through the soft measurement model.
Fig. 2a is a graph of the change of the air volume and the dissolved oxygen when the soft measurement model is not adopted during the fault of the dissolved oxygen meter according to the embodiment of the present application. Fig. 2b is a graph of the change of the air volume and the dissolved oxygen when the soft measurement model is adopted during the fault of the dissolved oxygen meter according to the embodiment of the present application. As can be seen by comparing fig. 2a and 2b, after the soft measurement model is introduced, the aeration amount (i.e. the air volume) can still be maintained near the air volume required for the balance point, and the aeration tank system can still work normally.
The fault tolerance control method for the dissolved oxygen meter of the aeration tank provided by the embodiment comprises the following steps: under the condition that a fault of a dissolved oxygen meter is detected, acquiring an oxygen content parameter of an aeration tank system through a soft measurement model; wherein the oxygen content parameter comprises at least oxygen consumption rate and dissolved oxygen; determining the aeration quantity of the aeration tank system according to the oxygen content parameter; the air blower and the valve are controlled according to the aeration quantity to provide the required air quantity for the aeration tank through the aeration pipeline. In the method, when the dissolved oxygen meter fails, the oxygen content parameter of the aeration tank system can be obtained through the soft measurement model, and the aeration quantity of the aeration tank system can be determined after the oxygen content parameter is determined, so that the air blower and the valve are controlled according to the aeration quantity to provide required air quantity for the aeration tank through the aeration pipeline, and the aeration system can still normally operate when the dissolved oxygen meter fails as far as possible.
In order to obtain oxygen content data of the aeration tank system more accurately through the soft measurement model, the preferred embodiment is that the obtaining of oxygen content parameters of the aeration tank system through the soft measurement model comprises the following steps:
under the condition that the dissolved oxygen meter is detected to be normal, according to the actual dissolved oxygen measured by the dissolved oxygen meter and the estimated dissolved oxygen obtained by a pre-established soft measurement model;
updating a pre-established soft measurement model according to the relation between the actual dissolved oxygen and the estimated dissolved oxygen to obtain an updated soft measurement model;
under the condition that the abnormality of the dissolved oxygen meter data is detected, acquiring the oxygen content parameter of the aeration tank system according to the updated soft measurement model.
Before updating the pre-established soft measurement model according to the relation between the actual dissolved oxygen and the estimated dissolved oxygen to obtain an updated soft measurement model, the fault tolerance control method for the dissolved oxygen meter of the aeration tank further comprises the following steps:
acquiring a cosine similarity function between actual dissolved oxygen and estimated dissolved oxygen;
judging whether the cosine similarity function meets the preset requirement or not;
if yes, a step of updating a pre-established soft measurement model according to the relation between the actual dissolved oxygen and the estimated dissolved oxygen to obtain an updated soft measurement model is carried out.
Specifically, updating the soft measurement model includes:
establishing an optimization function according to an actual dissolved oxygen sampling data sequence, an estimated dissolved oxygen data sequence and a preset upper limit value and a preset lower limit value of the oxygen consumption rate;
the soft measurement model is updated according to the optimization function.
Suppose C k i represents actual dissolved oxygen data at each moment in a kth control period measured by a dissolved oxygen meter, wherein the value of i is taken from 1 to n, and n represents the number of samples in the kth control period;
Figure BDA0004104103720000071
the estimated dissolved oxygen data at each time in the kth control period estimated by the soft measurement model is represented, and similarly, the value of i is taken from 1 to n.
Is provided with
Figure BDA0004104103720000081
For the actual dissolved oxygen data sequence at each moment in the kth control period measured by means of a dissolved oxygen meter,/v>
Figure BDA0004104103720000082
And representing the estimated dissolved oxygen data sequence at each moment in the kth control period estimated by the soft measurement model. And if the data of the dissolved oxygen meter is normal, updating the soft measurement model in a local optimization mode. The optimization objective of the soft measurement model is as follows:
Figure BDA0004104103720000083
wherein, a0, b0 are respectively the lower limit value and the upper limit value of the oxygen consumption rate OUR,
Figure BDA0004104103720000084
for the norm between the actual dissolved oxygen data sequence and the predicted dissolved oxygen data sequence, the cosine similarity function can be used for calculation
Figure BDA0004104103720000085
The calculation formula of (2) is as follows:
Figure BDA0004104103720000086
the preset requirement satisfied by the cosine similarity function refers to S k
Figure BDA0004104103720000087
The included angle value of (2) is not close to 1. When S is k ,/>
Figure BDA00041041037200000814
The angle value of (2) is not close to 1, indicating a predicted +.>
Figure BDA0004104103720000088
Not close to actual S k If the soft measurement model is adopted to predict the oxygen consumption rate at the next moment, the obtained oxygen consumption rate at the next moment may be inaccurate, so that the soft measurement model needs to be updated in practice; when S is k ,/>
Figure BDA0004104103720000089
The angle value of (2) is close to 1, indicating predicted +.>
Figure BDA00041041037200000810
Near the actual S k Namely, the current soft measurement model is adopted to more accurately predict the oxygen consumption rate at the next moment, so that k ,/>
Figure BDA00041041037200000811
In the case where the angle value of (c) is close to 1, the soft measurement model may not be updated.
In the optimization, a random greedy method or a particle swarm optimization method can be adopted. OUR value estimated based on the above-described optimization target as oxygen consumption rate OUR at the (k+1) th time k+1
In the method provided by the embodiment, the value of the oxygen content parameter predicted according to the soft measurement model is more accurate by updating the soft measurement model.
In order to diagnose the fault of the dissolved oxygen meter, a preferred embodiment is a method for diagnosing the fault of the dissolved oxygen meter, comprising:
acquiring an actual dissolved oxygen sampling data sequence acquired by a dissolved oxygen meter at each moment and an estimated dissolved oxygen data sequence corresponding to each moment estimated by a soft measurement model;
acquiring a residual sequence of an actual dissolved oxygen sampling data sequence and an estimated dissolved oxygen data sequence;
and (3) checking the residual sequence through u-test to realize the diagnosis of the fault of the dissolved oxygen meter.
Is provided with
Figure BDA00041041037200000812
Represents the sequence of dissolved oxygen residuals at each time instant in the kth control period, wherein,
Figure BDA00041041037200000813
assuming that the residual delta follows a normal distribution N (0, sigma 2 ) The standard deviation sigma may be set by statistical analysis of the operational data over a period of time. Therefore, the fault detection of the dissolved oxygen meter can be realized by u-test on the following statistical assumption, and the specific process is as follows:
step 1: the following original assumption H0 and alternative assumption H1 are constructed:
Figure BDA0004104103720000091
step 2: calculating statistics u k Is the value of (1):
Figure BDA0004104103720000092
wherein, the liquid crystal display device comprises a liquid crystal display device,
Figure BDA0004104103720000093
representing the mean value of the k-th control period residual sequence.
Step 3: selecting proper limit level alpha and finding the score value
Figure BDA0004104103720000094
If->
Figure BDA0004104103720000095
Then H0, state (DO) =1; otherwise State (DO) =0, accept hypothesis H1.
In the method provided by the embodiment, the fault diagnosis of the dissolved oxygen meter is realized through the u test.
The oxygen content parameter can be obtained through the soft measurement model, however, in the implementation, the condition of abnormal oxygen consumption rate may occur, and if the aeration rate is still calculated according to the oxygen consumption parameter, and the air intake rate is provided for the aeration tank system according to the aeration rate, the aeration tank system may be abnormal. Therefore, in a preferred embodiment, after the oxygen consumption rate of the aeration tank system is obtained through the soft measurement model, before the aeration amount of the aeration tank system is determined according to the oxygen content parameter, the fault-tolerant control method for the dissolved oxygen meter of the aeration tank further comprises:
judging whether the oxygen consumption rate is smaller than a preset value;
if not, a step of determining the aeration quantity of the aeration tank system according to the oxygen content parameter is carried out;
if so, outputting prompt information for representing abnormal oxygen consumption rate of the aeration tank system.
Let a be 0 For a preset value, when OUR k+1 <a 0 And outputting warning information to the operation and maintenance system by the aeration tank system, prompting related personnel to carry out a microscopic examination test on the biochemical reaction tank, and determining whether the biochemical system fails. The method of presenting information is not limited, and is determined according to the actual situation.
In the method provided by the embodiment, after the oxygen consumption rate is obtained, the oxygen consumption rate is judged, and prompt is given under the condition that the oxygen consumption rate is abnormal, so that a user can maintain the aeration tank system in time, and the aeration tank system can normally operate.
In order to better understand the present application, a further detailed description of the present application will be provided below with reference to fig. 3 and the detailed description. Fig. 3 is a block diagram of a fault-tolerant control system for dissolved oxygen meters of an aeration tank according to an embodiment of the present application. As shown in fig. 3, the aeration tank system comprises a controller 1, a blower air quantity adjusting system 2, an aeration tank system 3, a soft measurement model module 4, a dissolved oxygen diagnosis module 5 and an aeration control operation and maintenance system 6. The control system provided in this embodiment adopts a feedforward+feedback+model fault-tolerant control strategy. The feedforward control is based on the influence of disturbance elimination disturbance on the controlled quantity, the water inflow Q of the system is used as a feedforward parameter, the essence of the feedback control is that the deviation is eliminated based on the deviation, and the DO value of the system is used as a feedback parameter. The fault tolerant control switching strategy is: when the dissolved oxygen meter is normal, state (DO) =1, the system adopts the actual dissolved oxygen measured by the dissolved oxygen meter for control; when the dissolved oxygen meter fails, state (DO) =0, the system adopts the pre-estimated dissolved oxygen obtained by the soft measurement model to control.
As shown in figure 3, the system adopts double-ring serial control, the outer ring calculates the required air quantity of the aeration tank according to the dissolved oxygen deviation and the water inflow, and the inner ring provides the required air quantity for the aeration tank by adjusting the valve of the aeration branch pipe or the main pipe. In order to solve the problem of aeration air volume calculation under the condition of failure of the dissolved oxygen meter, the system is introduced with a soft measurement model module and a dissolved oxygen diagnosis module, wherein the soft measurement model module updates relevant parameters of the system according to the DO value acquired on line, the dissolved oxygen diagnosis module can diagnose the data of the dissolved oxygen meter, and DO is given out by soft measurement under the condition of failure of the dissolved oxygen meter and fed back to the controller, so that the normal operation of the aeration system is ensured. When the oxygen consumption rate of the biochemical pool given by the soft measurement model is too low or the instrument fails, the aeration operation and maintenance system can automatically remind related personnel to carry out necessary overhaul and equipment maintenance.
In the above embodiment, the detailed description is given to the fault-tolerant control method of the dissolved oxygen meter of the aeration tank, and the application also provides a fault-tolerant control device of the dissolved oxygen meter of the aeration tank and a corresponding embodiment of the fault-tolerant control system of the dissolved oxygen meter of the aeration tank. It should be noted that the present application describes an embodiment of the device portion from two angles, one based on the angle of the functional module and the other based on the angle of the hardware.
Fig. 4 is a block diagram of a fault tolerant control device for dissolved oxygen meters of an aeration tank according to an embodiment of the present application. The embodiment is based on the angle of the functional module, and comprises:
an obtaining module 10, configured to obtain an oxygen content parameter of the aeration tank system through a soft measurement model in the case that a fault of the dissolved oxygen meter is detected; wherein the oxygen content parameter comprises at least oxygen consumption rate and dissolved oxygen;
a determining module 11 for determining aeration amount of the aeration tank system according to the oxygen content parameter;
and the control module 12 is used for controlling the blower and the valve to provide required air quantity to the aeration tank through the aeration pipeline according to the aeration quantity.
Since the embodiments of the apparatus portion and the embodiments of the method portion correspond to each other, the embodiments of the apparatus portion are referred to the description of the embodiments of the method portion, and are not repeated herein.
According to the fault-tolerant control device for the dissolved oxygen meter of the aeration tank, under the condition that the dissolved oxygen meter is detected to be faulty, an acquisition module is utilized to acquire oxygen content parameters of an aeration tank system through a soft measurement model; wherein the oxygen content parameter comprises at least oxygen consumption rate and dissolved oxygen; determining the aeration quantity of the aeration tank system according to the oxygen content parameter by a determining module; the control module controls the blower and the valve to provide the required air quantity to the aeration tank through the aeration pipeline according to the aeration quantity. In the device, when the dissolved oxygen meter fails, the oxygen content parameter of the aeration tank system can be obtained through the soft measurement model, and the aeration quantity of the aeration tank system can be determined after the oxygen content parameter is determined, so that the air blower and the valve are controlled according to the aeration quantity to provide required air quantity for the aeration tank through the aeration pipeline, and the aeration system can still normally operate when the dissolved oxygen meter fails as far as possible.
FIG. 5 is a block diagram of a fault tolerant control system for dissolved oxygen meters of an aeration tank according to another embodiment of the present application. The fault-tolerant control system for dissolved oxygen meters of an aeration tank based on the hardware angle in this embodiment, as shown in fig. 5, comprises:
a memory 20 for storing a computer program;
a processor 21 for implementing the steps of the fault-tolerant control method of dissolved oxygen meters of an aeration tank as mentioned in the above embodiments when executing a computer program.
Processor 21 may include one or more processing cores, such as a 4-core processor, an 8-core processor, etc. The processor 21 may be implemented in hardware in at least one of a digital signal processor (Digital Signal Processor, DSP), a Field programmable gate array (Field-Programmable Gate Array, FPGA), a programmable logic array (Programmable Logic Array, PLA). The processor 21 may also comprise a main processor, which is a processor for processing data in an awake state, also called central processor (Central Processing Unit, CPU), and a coprocessor; a coprocessor is a low-power processor for processing data in a standby state. In some embodiments, the processor 21 may be integrated with a graphics processor (Graphics Processing Unit, GPU) for taking care of rendering and drawing of content that the display screen is required to display. In some embodiments, the processor 21 may also include an artificial intelligence (Artificial Intelligence, AI) processor for processing computing operations related to machine learning.
Memory 20 may include one or more computer-readable storage media, which may be non-transitory. Memory 20 may also include high-speed random access memory, as well as non-volatile memory, such as one or more magnetic disk storage devices, flash memory storage devices. In this embodiment, the memory 20 is at least used for storing a computer program 201, where the computer program, after being loaded and executed by the processor 21, can implement the relevant steps of the fault-tolerant control method for dissolved oxygen meters of an aeration tank disclosed in any one of the foregoing embodiments. In addition, the resources stored in the memory 20 may further include an operating system 202, data 203, and the like, where the storage manner may be transient storage or permanent storage. The operating system 202 may include Windows, unix, linux, among others. The data 203 may include, but is not limited to, the data related to the fault-tolerant control method of the dissolved oxygen meter of the aeration tank mentioned above, and the like.
In some embodiments, the fault-tolerant control system for dissolved oxygen meters of the aeration tank can further comprise a display screen 22, an input-output interface 23, a communication interface 24, a power supply 25 and a communication bus 26.
It will be appreciated by those skilled in the art that the configuration shown in fig. 5 is not limiting of the fault tolerant control system for the dissolved oxygen meter of the aeration tank and may include more or fewer components than shown.
The fault tolerance control system for the dissolved oxygen meter of the aeration tank, provided by the embodiment of the application, comprises a memory and a processor, wherein when the processor executes a program stored in the memory, the processor can realize the following method: the fault-tolerant control method for the dissolved oxygen meter of the aeration tank has the same effect.
Finally, the present application also provides a corresponding embodiment of the computer readable storage medium. The computer-readable storage medium has stored thereon a computer program which, when executed by a processor, performs the steps as described in the method embodiments above.
It will be appreciated that the methods of the above embodiments, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored on a computer readable storage medium. With such understanding, the technical solution of the present application, or a part contributing to the prior art or all or part of the technical solution, may be embodied in the form of a software product stored in a storage medium, performing all or part of the steps of the method described in the various embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
The computer readable storage medium provided by the application comprises the fault tolerance control method for the dissolved oxygen meter of the aeration tank, and the fault tolerance control method has the same effects.
The fault tolerance control method, device, system and medium for the dissolved oxygen meter of the aeration tank provided by the application are described in detail above. In the description, each embodiment is described in a progressive manner, and each embodiment is mainly described by the differences from other embodiments, so that the same similar parts among the embodiments are mutually referred. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant points refer to the description of the method section. It should be noted that it would be obvious to those skilled in the art that various improvements and modifications can be made to the present application without departing from the principles of the present application, and such improvements and modifications fall within the scope of the claims of the present application.
It should also be noted that in this specification, relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.

Claims (10)

1. The fault tolerance control method for the dissolved oxygen meter of the aeration tank is characterized by comprising the following steps of:
under the condition that a fault of a dissolved oxygen meter is detected, acquiring an oxygen content parameter of an aeration tank system through a soft measurement model; wherein the oxygen content parameter comprises at least oxygen consumption rate and dissolved oxygen;
determining the aeration quantity of the aeration tank system according to the oxygen content parameter;
and controlling a blower and a valve to provide required air quantity for the aeration tank through an aeration pipeline according to the aeration quantity.
2. The fault-tolerant control method for dissolved oxygen meters of an aeration tank according to claim 1, wherein establishing the soft measurement model comprises:
obtaining the saturation of dissolved oxygen, the transfer coefficient of oxygen, the water inflow of an aeration tank, the oxygen consumption rate, the effective volume of the aeration tank and the reflux quantity of nitrified liquid of the aeration tank system;
establishing the soft measurement model according to the saturation of the dissolved oxygen, the transfer coefficient of the oxygen, the water inflow of the aeration tank, the oxygen consumption rate, the effective volume of the aeration tank and the reflux quantity of the nitrified liquid;
the soft measurement model is as follows:
Figure FDA0004104103690000011
Figure FDA0004104103690000012
Figure FDA0004104103690000013
wherein C is sat To dissolve the saturated concentration of oxygen, K L a is the oxygen transfer coefficient, Q is the aeration tank inflow (m 3 Per h), OUR (t) is the oxygen consumption rate (mgL) of the aeration tank -1 h -1 ) The effective volume of the aeration tank is V (m 3 ),Q r Is the reflux quantity (m) 3 And/h), q is hydraulic retention time, and r is nitrified liquid reflux ratio.
3. The fault-tolerant control method for dissolved oxygen meter of aeration tank according to claim 2, wherein obtaining the oxygen content parameter of the aeration tank system by the soft measurement model comprises:
under the condition that the dissolved oxygen meter is detected to be normal, according to the actual dissolved oxygen measured by the dissolved oxygen meter and the estimated dissolved oxygen obtained by a pre-established soft measurement model;
updating the pre-established soft measurement model according to the relation between the actual dissolved oxygen and the estimated dissolved oxygen to obtain an updated soft measurement model;
and under the condition that the abnormality of the dissolved oxygen meter data is detected, acquiring the oxygen content parameter of the aeration tank system according to the updated soft measurement model.
4. A fault tolerant control method for an aeration tank dissolved oxygen meter according to claim 3, wherein before said updating said pre-established soft measurement model based on said relation between said actual dissolved oxygen and said estimated dissolved oxygen to obtain an updated soft measurement model, said method further comprises:
acquiring a cosine similarity function between the actual dissolved oxygen and the estimated dissolved oxygen;
judging whether the cosine similarity function meets a preset requirement or not;
if yes, the step of updating the pre-established soft measurement model according to the relation between the actual dissolved oxygen and the estimated dissolved oxygen to obtain an updated soft measurement model is entered.
5. A fault-tolerant control method for an oxygen dissolving meter of an aeration tank according to any one of claims 1 to 4, wherein the method for diagnosing the fault of the oxygen dissolving meter comprises:
acquiring an actual dissolved oxygen sampling data sequence acquired by the dissolved oxygen meter at each moment, and estimating an estimated dissolved oxygen data sequence corresponding to each moment through the soft measurement model;
acquiring a residual sequence of the actual dissolved oxygen sampling data sequence and the estimated dissolved oxygen data sequence;
and checking the residual sequence through u-test to realize the diagnosis of the fault of the dissolved oxygen meter.
6. The fault-tolerant control method of dissolved oxygen meters of an aeration tank according to claim 5, wherein updating the soft measurement model comprises:
establishing an optimization function according to the actual dissolved oxygen sampling data sequence, the estimated dissolved oxygen data sequence and the preset upper limit value and lower limit value of the oxygen consumption rate;
updating the soft measurement model according to the optimization function.
7. The fault tolerant control method of dissolved oxygen meter of an aeration tank according to claim 6, wherein after obtaining the oxygen consumption rate of the aeration tank system by the soft measurement model, before determining the aeration amount of the aeration tank system from the oxygen content parameter, the method further comprises:
judging whether the oxygen consumption rate is smaller than a preset value or not;
if not, the step of determining the aeration quantity of the aeration tank system according to the oxygen content parameter is carried out;
if so, outputting prompt information for representing the abnormal oxygen consumption rate of the aeration tank system.
8. The fault-tolerant control device for the dissolved oxygen meter of the aeration tank is characterized by comprising:
the obtaining module is used for obtaining oxygen content parameters of the aeration tank system through the soft measurement model under the condition that the dissolved oxygen meter is detected to be faulty; wherein the oxygen content parameter comprises at least oxygen consumption rate and dissolved oxygen;
the determining module is used for determining the aeration quantity of the aeration tank system according to the oxygen content parameter;
and the control module is used for controlling the blower and the valve to provide required air quantity for the aeration tank through the aeration pipeline according to the aeration quantity.
9. An aeration tank dissolved oxygen meter fault tolerance control system, which is characterized by comprising:
a memory for storing a computer program;
a processor for implementing the steps of the fault-tolerant control method of dissolved oxygen meters of an aeration tank according to any one of claims 1 to 7 when executing the computer program.
10. A computer-readable storage medium, wherein a computer program is stored on the computer-readable storage medium, and the computer program when executed by a processor implements the steps of the fault-tolerant control method of the dissolved oxygen meter of the aeration tank according to any one of claims 1 to 7.
CN202310186466.4A 2023-03-01 2023-03-01 Fault-tolerant control method, device, system and medium for dissolved oxygen meter of aeration tank Pending CN116199351A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202310186466.4A CN116199351A (en) 2023-03-01 2023-03-01 Fault-tolerant control method, device, system and medium for dissolved oxygen meter of aeration tank

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202310186466.4A CN116199351A (en) 2023-03-01 2023-03-01 Fault-tolerant control method, device, system and medium for dissolved oxygen meter of aeration tank

Publications (1)

Publication Number Publication Date
CN116199351A true CN116199351A (en) 2023-06-02

Family

ID=86512592

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202310186466.4A Pending CN116199351A (en) 2023-03-01 2023-03-01 Fault-tolerant control method, device, system and medium for dissolved oxygen meter of aeration tank

Country Status (1)

Country Link
CN (1) CN116199351A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117113264A (en) * 2023-10-24 2023-11-24 上海昊沧***控制技术有限责任公司 Method for detecting abnormality of dissolved oxygen meter of sewage plant on line in real time

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117113264A (en) * 2023-10-24 2023-11-24 上海昊沧***控制技术有限责任公司 Method for detecting abnormality of dissolved oxygen meter of sewage plant on line in real time
CN117113264B (en) * 2023-10-24 2024-02-09 上海昊沧***控制技术有限责任公司 Method for detecting abnormality of dissolved oxygen meter of sewage plant on line in real time

Similar Documents

Publication Publication Date Title
EP3353613A1 (en) System and method for wastewater treatment process control
CN110186505B (en) Method for predicting standard reaching condition of rural domestic sewage treatment facility effluent based on support vector machine
CN116199351A (en) Fault-tolerant control method, device, system and medium for dissolved oxygen meter of aeration tank
US11041840B2 (en) Process for monitoring the concentration of bacteria in a water distribution network
CN106277299A (en) A kind of aeration control system based on oxygen consumption rate analyzer and method
CN113837364A (en) Sewage treatment soft measurement method and system based on residual error network and attention mechanism
JP2013215698A (en) State diagnostic method and apparatus of water treatment plant
JP6655975B2 (en) Aeration control device and aeration control method
Pan et al. A new approach to estimating oxygen off-gas fraction and dynamic alpha factor in aeration systems using hybrid machine learning and mechanistic models
KR101016394B1 (en) Real-time wastewater composition analyzer using a rapid microbial respiration detector, ss and ec combined sensing system and its measuring method
CN107686160B (en) Sewage treatment method and system based on SBR reactor
JP3289522B2 (en) BOD measuring device
CN111410314B (en) Pre-control method and device for denitrification and dephosphorization by improved oxidation ditch process
CN115809749B (en) Method for establishing comprehensive online prediction model of sewage treatment and prediction and early warning method
CN116969616A (en) Soft measurement-based integrated sewage treatment facility control method, device and equipment
GB2184110A (en) Treatment of aqueous material
JP4378204B2 (en) Water quality monitoring system
Lumley On-line instrument confirmation: how can we check that our instruments are working?
JP3142358B2 (en) Operation support system for water treatment plant
JP2006084240A (en) Wastewater treatment measuring method
JPH1157780A (en) Sewage disposal plant, its measuring instrument and support equipment
CN114355846A (en) Fault diagnosis method for papermaking sewage treatment process based on SBR simulation model
JP4248043B2 (en) Biological phosphorus removal equipment
JPH07219623A (en) Abnormality detection device for measuring instrument
Rutherford Deoxygenation in a mobile-bed river—II. Model calibration and post-audit

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination