CN114380378A - Intelligent phosphorus-control drug feeding method and device and storage medium - Google Patents

Intelligent phosphorus-control drug feeding method and device and storage medium Download PDF

Info

Publication number
CN114380378A
CN114380378A CN202210284791.XA CN202210284791A CN114380378A CN 114380378 A CN114380378 A CN 114380378A CN 202210284791 A CN202210284791 A CN 202210284791A CN 114380378 A CN114380378 A CN 114380378A
Authority
CN
China
Prior art keywords
phosphorus
control
time
medicine
value
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.)
Granted
Application number
CN202210284791.XA
Other languages
Chinese (zh)
Other versions
CN114380378B (en
Inventor
杨健
杨凌柯
王海牛
黄一驰
鲜红清
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.)
Zhonghe Jian (Beijing) Environmental Protection Technology Co.,Ltd.
Original Assignee
Ji'an Yonglan Beijing Engineering Technology Development 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 Ji'an Yonglan Beijing Engineering Technology Development Co ltd filed Critical Ji'an Yonglan Beijing Engineering Technology Development Co ltd
Priority to CN202210284791.XA priority Critical patent/CN114380378B/en
Publication of CN114380378A publication Critical patent/CN114380378A/en
Application granted granted Critical
Publication of CN114380378B publication Critical patent/CN114380378B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • C—CHEMISTRY; METALLURGY
    • C02—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
    • C02F—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
    • C02F1/00—Treatment of water, waste water, or sewage
    • C02F1/52—Treatment of water, waste water, or sewage by flocculation or precipitation of suspended impurities
    • C02F1/5209—Regulation methods for flocculation or precipitation
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B01—PHYSICAL OR CHEMICAL PROCESSES OR APPARATUS IN GENERAL
    • B01D—SEPARATION
    • B01D21/00—Separation of suspended solid particles from liquids by sedimentation
    • B01D21/30—Control equipment
    • C—CHEMISTRY; METALLURGY
    • C02—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
    • C02F—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
    • C02F2101/00—Nature of the contaminant
    • C02F2101/10—Inorganic compounds
    • C02F2101/105—Phosphorus compounds

Landscapes

  • Chemical & Material Sciences (AREA)
  • Chemical Kinetics & Catalysis (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Hydrology & Water Resources (AREA)
  • Engineering & Computer Science (AREA)
  • Environmental & Geological Engineering (AREA)
  • Water Supply & Treatment (AREA)
  • Organic Chemistry (AREA)
  • Removal Of Specific Substances (AREA)
  • Purification Treatments By Anaerobic Or Anaerobic And Aerobic Bacteria Or Animals (AREA)
  • Pharmaceuticals Containing Other Organic And Inorganic Compounds (AREA)

Abstract

The application relates to an intelligent phosphorus control drug adding method, device and storage medium, wherein the method comprises the following steps: controlling a sensing measuring device to acquire real-time changes of the phosphorus value of the inlet water and the phosphorus value of the outlet water of the sedimentation tank; according to the real-time change of the water inlet phosphorus value and the water outlet phosphorus value, under the constraint condition of a dynamic replenishment decision model, dynamically determining the adding rate of a phosphorus control medicine by using an intelligent control device, and generating a phosphorus control instruction corresponding to the adding rate; and according to the phosphorus control instruction generated by the intelligent control device, the phosphorus control medicine with the addition rate is added into the sedimentation tank through a phosphorus control medicine adding device. The technical scheme of the application can automatically adjust the adding amount of the phosphorus control medicine timely and accurately, can ensure that the total phosphorus concentration of the effluent reaches the discharge standard, can save the adding amount of the medicine, and avoids secondary pollution of water.

Description

Intelligent phosphorus-control drug feeding method and device and storage medium
Technical Field
The invention relates to the technical field of water treatment, in particular to an intelligent phosphorus control drug adding method, device and storage medium.
Background
With the development of industry and the progress of society, the living standard of people is increasingly improved. However, people enjoy high-quality life and face the threat of natural environment destruction, and water pollution is a typical problem. In order to ensure the healthy life of people, water source protection and water treatment are more and more paid more and more attention.
At present, more than 4000 seats of sewage treatment plants are built in China, and discharge indexes of treated effluent of the sewage treatment plants are set. The concentration requirement of the total phosphorus in the effluent is particularly specified in the current discharge index. For example, in class A emission standards, the concentration of total phosphorus in the effluent is less than 0.5 mg/L.
The inventor of this application discovers in research that prior art controls the total phosphorus concentration of play water through throwing into the aquatic of treating and controls phosphorus medicine, however the phosphorus medicine that controls among the prior art throws the defect that the mode has the processing lag, relies on artifical subjective judgement to throw more, and accurate control is difficult to accomplish, leads to controlling the phosphorus to handle and has the dilemma: on one hand, if the phosphorus control medicine is not added in time or in an insufficient amount, the standard exceeding of the total phosphorus of effluent can be caused; on the other hand, if the phosphorus control drug is excessively put in, resource waste is caused, and the toxicity unit of the water body is easy to exceed the standard.
Disclosure of Invention
The embodiment of the invention provides an intelligent phosphorus control drug adding method, an intelligent phosphorus control drug adding device and a storage medium, which can automatically adjust the adding amount of a phosphorus control drug in time and accurately, ensure that the total phosphorus concentration of effluent reaches the discharge standard, save the adding amount of the drug and avoid secondary pollution of water.
In a first aspect, the present application provides a method for intelligently controlling the administration of a phosphorus pharmaceutical, the method comprising:
controlling a sensing measuring device to acquire real-time changes of the phosphorus value of the inlet water and the phosphorus value of the outlet water of the sedimentation tank;
according to the real-time change of the water inlet phosphorus value and the water outlet phosphorus value, under the constraint condition of a dynamic replenishment decision model, dynamically determining the adding rate of a phosphorus control medicine by using an intelligent control device, and generating a phosphorus control instruction corresponding to the adding rate;
according to the phosphorus control instruction generated by the intelligent control device, the phosphorus control medicine with the addition rate is added into the sedimentation tank through a phosphorus control medicine adding device;
the dynamic replenishment decision model is as follows:
Figure 399639DEST_PATH_IMAGE001
Figure 847938DEST_PATH_IMAGE002
Figure 955571DEST_PATH_IMAGE003
wherein, the
Figure 881939DEST_PATH_IMAGE004
H is the interval time of each measurement; d (t) is the required adding rate of the phosphorus control medicine at the time t;
Figure 227470DEST_PATH_IMAGE005
is the initial feeding time point;
Figure 581091DEST_PATH_IMAGE006
for dynamically determining each time point of the updating of the phosphorus control instruction of the phosphorus control medicament adding rate,
Figure 379283DEST_PATH_IMAGE007
is a decision variable; the above-mentioned
Figure 115201DEST_PATH_IMAGE008
Is a positive integer; the above-mentioned
Figure 49658DEST_PATH_IMAGE009
Is the effluent phosphorus value at the S moment
Figure 574181DEST_PATH_IMAGE010
Is a preset phosphorus control target, the
Figure 859669DEST_PATH_IMAGE011
Initial cost for launching after obtaining the order each time; i is the unit putting cost of the phosphorus control medicine;
according to the model, the time t to
Figure 127839DEST_PATH_IMAGE012
The dosing times n and n between the moments
Figure 182383DEST_PATH_IMAGE013
And
Figure 143385DEST_PATH_IMAGE014
to
Figure 916169DEST_PATH_IMAGE015
Time-interval phosphorus control medicine adding rate
Figure 722451DEST_PATH_IMAGE016
；
Figure 162660DEST_PATH_IMAGE017
The above-mentioned
Figure 28985DEST_PATH_IMAGE018
Is composed of
Figure 23485DEST_PATH_IMAGE019
To
Figure 633458DEST_PATH_IMAGE020
The addition rate of the phosphorus-controlling medicine in time period
Figure 662594DEST_PATH_IMAGE021
Is the minimum dosage for ensuring the normal dosage of the medicineAddition rate of
Figure 965400DEST_PATH_IMAGE021
Is a preset constant.
With reference to the first aspect, in a possible implementation manner, the dynamically determining, by using an intelligent control device, an addition rate of a phosphorus control drug includes:
and the intelligent control device dynamically determines the adding rate of the phosphorus control medicine through a feedback control algorithm.
With reference to the first aspect, in a possible implementation manner, the dynamically determining the dosing rate of the phosphorus-controlling drug through a feedback control algorithm includes:
s1, collecting the sedimentation tank
Figure 447197DEST_PATH_IMAGE022
Phosphorus value of water entering at all times
Figure 657598DEST_PATH_IMAGE023
And the phosphorus value of the effluent at the t moment
Figure 541240DEST_PATH_IMAGE024
And an
Figure 14947DEST_PATH_IMAGE025
Phosphorus value of water entering at all times
Figure 187302DEST_PATH_IMAGE026
And the phosphorus value of the effluent
Figure 139078DEST_PATH_IMAGE027
Said
Figure 939544DEST_PATH_IMAGE028
Is a positive integer;
s2, according to the phosphorus value of the inlet water
Figure 318572DEST_PATH_IMAGE026
And
Figure 774962DEST_PATH_IMAGE023
judging whether the abnormality exists, if so, determining according to a preset formula
Figure 796007DEST_PATH_IMAGE029
Adding rate of phosphorus-controlling medicine at any moment
Figure 388663DEST_PATH_IMAGE030
；
S3, if there is no abnormal, according to the phosphorus value of the inlet water
Figure 204172DEST_PATH_IMAGE026
And
Figure 147857DEST_PATH_IMAGE023
predicting the phosphorus value of water entering from t time to t +1 time
Figure 441435DEST_PATH_IMAGE031
；
S4, according to
Figure 154176DEST_PATH_IMAGE022
Phosphorus value of water entering at all times
Figure 875008DEST_PATH_IMAGE023
And the phosphorus value of the water at the time t
Figure 96867DEST_PATH_IMAGE024
And an
Figure 928557DEST_PATH_IMAGE022
Adding amount of phosphorus-controlling medicine from time to time t
Figure 761384DEST_PATH_IMAGE032
Determining
Figure 653116DEST_PATH_IMAGE022
Phosphorus control efficiency from time to time t
Figure 368131DEST_PATH_IMAGE033
；
S5, according to the predicted phosphorus value of water entering at the time t
Figure 269091DEST_PATH_IMAGE031
The above-mentioned
Figure 690845DEST_PATH_IMAGE022
Phosphorus control efficiency from time to time t
Figure 19059DEST_PATH_IMAGE033
And a predetermined phosphorus control target
Figure 159053DEST_PATH_IMAGE034
Calculating the addition rate D (t) of the phosphorus control drug required at the time t;
s6, according to the dynamic supply decision model, calculating the dosing times n and dosing time
Figure 598125DEST_PATH_IMAGE013
And an
Figure 936702DEST_PATH_IMAGE014
To
Figure 435816DEST_PATH_IMAGE015
Time-interval phosphorus control medicine adding rate
Figure 63107DEST_PATH_IMAGE016
。
With reference to the first aspect, in one possible implementation manner, the method includes:
in said S2, if
Figure 40290DEST_PATH_IMAGE035
Then determine it as the first anomaly and use the formula
Figure 436636DEST_PATH_IMAGE036
Determining the addition rate of phosphorus-controlling drugs at time t
Figure 106652DEST_PATH_IMAGE037
Wherein
Figure 752397DEST_PATH_IMAGE038
Is a constant;
in said S2, if
Figure 330009DEST_PATH_IMAGE039
And satisfy
Figure 377599DEST_PATH_IMAGE040
Or is or
Figure 811992DEST_PATH_IMAGE041
Then determine as the second anomaly and use the formula
Figure 148295DEST_PATH_IMAGE042
Determining the addition rate of phosphorus-controlling drugs at time t
Figure 732860DEST_PATH_IMAGE037
Wherein
Figure 640817DEST_PATH_IMAGE043
Is a preset percentage.
In combination with the first aspect, in one possible implementation manner, the
Figure 449373DEST_PATH_IMAGE044
。
With reference to the first aspect, in one possible implementation manner, the method includes:
in the step S3, the phosphorus value in water is determined by a neural network model
Figure 7393DEST_PATH_IMAGE026
And
Figure 192387DEST_PATH_IMAGE023
predicting the phosphorus value of water entering from t time to t +1 time
Figure 948990DEST_PATH_IMAGE031
。
With reference to the first aspect, in one possible implementation manner, the method includes:
in the step S4, the phosphorus control efficiency at the time t-1 is determined by using the following formula
Figure 866130DEST_PATH_IMAGE033
：
Figure 239343DEST_PATH_IMAGE045
，
Wherein IA is the flow of the sedimentation tank, the
Figure 900131DEST_PATH_IMAGE032
The dosage of the phosphorus-controlling medicament from the time t-1 to the time t.
With reference to the first aspect, in one possible implementation manner, the method includes:
in the step S5, calculating the required adding rate D (t) of the phosphorus control medicine at the time t by using the following formula;
Figure 245662DEST_PATH_IMAGE046
in a second aspect, the present application provides an intelligent phosphorus medicine control adding device, the device includes:
the sensing and measuring device control unit is used for controlling the sensing and measuring device to acquire the real-time change of the phosphorus value of the inlet water and the phosphorus value of the outlet water of the sedimentation tank;
the intelligent calculation unit is used for dynamically determining the adding rate of a phosphorus control medicine under the constraint condition of a dynamic replenishment decision model according to the real-time change of the water inlet phosphorus value and the water outlet phosphorus value and generating a phosphorus control instruction corresponding to the adding rate;
the phosphorus control drug adding device control unit is used for controlling the phosphorus control drug adding device to add the phosphorus control drug with the adding rate into the sedimentation tank according to the phosphorus control instruction;
the dynamic replenishment decision model is as follows:
Figure 396021DEST_PATH_IMAGE001
Figure 194212DEST_PATH_IMAGE002
Figure 924271DEST_PATH_IMAGE003
wherein, the
Figure 593150DEST_PATH_IMAGE004
H is the interval time of each measurement; d (t) is the required adding rate of the phosphorus control medicine at the time t;
Figure 179989DEST_PATH_IMAGE005
is the initial feeding time point;
Figure 465477DEST_PATH_IMAGE006
for dynamically determining each time point of the updating of the phosphorus control instruction of the phosphorus control medicament adding rate,
Figure 733647DEST_PATH_IMAGE007
is a decision variable; n is a positive integer; the above-mentioned
Figure 788191DEST_PATH_IMAGE009
Is the phosphorus value of the effluent at the s moment
Figure 483614DEST_PATH_IMAGE010
The method comprises the following steps that A is a preset phosphorus control target, and the initial cost for putting after an instruction is obtained each time; i is the unit putting cost of the phosphorus control medicine;
the medicine adding times n from the t moment to the t +1 moment can be obtained according to the model, and the medicine adding time point
Figure 990819DEST_PATH_IMAGE013
And
Figure 859418DEST_PATH_IMAGE014
to
Figure 237310DEST_PATH_IMAGE015
Time-interval phosphorus control medicine adding rate
Figure 900372DEST_PATH_IMAGE016
；
Figure 160452DEST_PATH_IMAGE017
The above-mentioned
Figure 770425DEST_PATH_IMAGE018
Is composed of
Figure 799561DEST_PATH_IMAGE019
To
Figure 854365DEST_PATH_IMAGE020
The addition rate of the phosphorus-controlling medicine in time period
Figure 601741DEST_PATH_IMAGE021
Is the lowest adding rate for ensuring the normal medicine feeding, the
Figure 15405DEST_PATH_IMAGE021
Is a preset constant.
In a third aspect, the present application provides a computer-readable storage medium, where the storage medium includes a stored program, and when the program runs, the apparatus on which the storage medium is located is controlled to execute the method for intelligently controlling the administration of phosphorus drugs according to the first aspect.
The application provides an intelligent phosphorus control medicine feeding method, device and storage medium, a root control sensing measuring device collects real-time changes of an inlet phosphorus value and an outlet phosphorus value of a sedimentation tank, then the feeding amount of a phosphorus control medicine is dynamically determined under the constraint condition of a dynamic supply decision model according to the real-time changes of the inlet phosphorus value and the outlet phosphorus value, a phosphorus control instruction corresponding to the feeding amount is generated, and then the phosphorus control medicine is fed into the sedimentation tank through a phosphorus control medicine feeding device according to the phosphorus control instruction.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive labor.
FIG. 1 is a schematic diagram of an environment in which an embodiment of the present application may be implemented;
FIG. 2 is a schematic flow chart illustrating a method for intelligently controlling the administration of phosphorus pharmaceutical agents in an embodiment of the present application;
FIG. 3 is a schematic diagram of the actual phosphorus control effect provided by the present application;
fig. 4 is a functional block diagram of an intelligent phosphorus control device provided in an embodiment of the present application.
Detailed Description
For better understanding of the technical solutions of the present invention, the following detailed descriptions of the embodiments of the present invention are provided with reference to the accompanying drawings.
It should be understood that the described embodiments are only some embodiments of the invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The terminology used in the embodiments of the invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in the examples of the present invention and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
It should be understood that the term "and/or" as used herein is merely one type of association that describes an associated object, meaning that three relationships may exist, e.g., a and/or B may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" herein generally indicates that the former and latter related objects are in an "or" relationship.
It should be understood that although the terms first, second, third, etc. may be used to describe the terminals in the embodiments of the present invention, the terminals should not be limited by these terms. These terms are only used to distinguish one terminal from another. For example, a first terminal may also be referred to as a second terminal, and similarly, a second terminal may also be referred to as a first terminal, without departing from the scope of embodiments of the present invention.
The word "if" as used herein may be interpreted as "at … …" or "when … …" or "in response to a determination" or "in response to a detection", depending on the context. Similarly, the phrases "if determined" or "if detected (a stated condition or event)" may be interpreted as "when determined" or "in response to a determination" or "when detected (a stated condition or event)" or "in response to a detection (a stated condition or event)", depending on the context.
Referring to fig. 1, a schematic diagram of an application environment of the embodiment of the present application is shown.
In the environment of use of FIG. 1, a wastewater treatment system is provided. In particular, the wastewater treatment process in this scenario may be, but is not limited to, the use of modifications
Figure 899048DEST_PATH_IMAGE047
+ high-efficient sedimentation tank + structure in filtering pond. As shown in the figure, the sewage treatment system comprises a sewage treatment device with a physical entity and a software control system.
Wherein the sewage treatment device with physical entities comprises a water inlet, a coarse grid, a fine grid, an aeration grit chamber, an anaerobic tank, an anoxic tank, an aerobic tank, a secondary sedimentation tank, a high-efficiency sedimentation tank 100, a denitrification deep bed filter, a disinfection tank, a water outlet and the like. The sewage treatment device of the physical entity also comprises a carbon source control and feeding device, a fractal aeration device, a phosphorus control drug feeding device 102, a disinfectant feeding device and the like.
In the sewage treatment system in the scene, a software control system takes an intelligent water service server as a center. The intelligent water service server can be interconnected with the central control room and the remote data center to realize the sharing of control data and feedback data. The remote data center can be further connected with the mobile terminal so as to push the set information to the mobile terminal.
The software control system in the scene further comprises an intelligent carbon source control and feeding system, an intelligent fractal aeration system, an intelligent phosphorus control drug control device 101, an intelligent disinfection drug feeding system and other software control systems. The software control systems can realize the sampling and analysis of the water body by the sampling control sensor, and further control the corresponding physical entity device. For example, the intelligent control device can control the carbon source control device to feed the carbon source into the anaerobic tank, the anoxic tank and the aerobic tank. For another example, the intelligent phosphorus control drug control device 101 may control the phosphorus control drug adding device 102 to add the phosphorus control drug to the sedimentation tank 100. The software control system in the scene is also connected with the intelligent water service server, and can upload sampling data and control information so that the intelligent water service server can monitor.
In this scenario, the wastewater treatment process generally includes:
sewage firstly enters from a water inlet and then is secondarily filtered by a coarse grid and a fine grid to intercept impurities such as floaters, coarse particles (sand grains), hair and the like.
The sewage enters an aeration sand sedimentation tank, generally, an aeration device is arranged at a certain depth (such as 60-90 cm) away from the bottom of the tank, fine sand grains are sunk through the shearing force of aeration, and a sand collecting hopper is arranged at the bottom of the tank to ensure that the sand grains slide in.
The sewage is further treated by biochemical reaction, specifically, the anaerobic reaction, the anoxic reaction and the aerobic reaction of microorganisms in the water body are realized by the anaerobic tank, the anoxic tank and the aerobic tank respectively, and indexes such as ammonia nitrogen, total ammonia, total phosphorus and the like in the water body are reduced. In the biochemical reaction treatment process, the intelligent carbon source feeding control system is required to control the carbon source feeding control device to realize feeding of the carbon source, and the intelligent fractal aeration system is also required to control the fractal aeration device to cooperate.
The sewage after biochemical reaction treatment further enters a secondary sedimentation tank to realize secondary sedimentation of sand grains.
The sewage treated by the secondary sedimentation tank continuously enters the efficient sedimentation tank 100 for treatment, the intelligent phosphorus-controlling drug control device 101 can realize the sampling of the water inlet and outlet parameters of the efficient sedimentation tank through the sampling line 1 and the sampling line 2, and realize the control of the phosphorus-controlling drug adding device 102, so as to control the phosphorus-controlling drug adding device 102 to add a proper amount of phosphorus-controlling drugs into the efficient sedimentation tank 100. The phosphorus control drug may be, but is not limited to, a flocculant, including, for example, aluminum salts, iron salts, lime, and the like.
The sewage passing through the high-efficiency sedimentation tank further passes through the denitrification deep bed filter tank, then passes through the disinfection tank for disinfection treatment, and finally flows out through the water outlet. In this scenario, the intelligent disinfectant adding system can control the disinfectant adding device to add the disinfectant into the disinfection tank.
The main technical scheme of this application embodiment is applied to intelligence accuse phosphorus medicine controlling means 101 control sensing measuring device promptly and samples to throw in device 102 puts in the sedimentation tank 100 with the flocculating agent according to sampling data control accuse phosphorus medicine, can in time accurately automatically regulated accuse phosphorus medicine throw the dosage, can guarantee that the total phosphorus concentration of water reaches emission standard, can practice thrift the throw dosage of medicine again, avoids the secondary pollution of water.
In this embodiment, the intelligent phosphorus control drug control device 101 may be a computer device with signal processing and computing capabilities, for example, a server, and the like, and includes a memory, a processor, and the like, where the memory stores a computer program, and the processor can control the sensing measurement device to obtain sampling data of a water body and perform operation and processing when executing the computer program, so as to generate a phosphorus control instruction about the phosphorus control drug adding amount to the phosphorus control drug adding device 102. The intelligent phosphorus control drug control device 101 in the embodiment of the application can also comprise a touch screen, a PLC and other related electronic components.
The sensing and measuring device in the embodiment of the application can comprise devices such as a sampling pump, a pipeline, a valve, a measuring instrument and a sensor, can realize the sampling of the water body under the control of the intelligent phosphorus control drug control device 101, can acquire parameters such as liquid level, water temperature, humidity, total phosphorus and flow in the water body, and returns to the intelligent phosphorus control drug control device 101 through the sampling line 1 and the sampling line 2. Specifically, the sampling line 1 can return data of the water inlet end of the high-efficiency sedimentation tank 100, and the sampling line 2 can return data of the water outlet end of the high-efficiency sedimentation tank 100.
The phosphorus-controlling drug adding device 102 in the embodiment of the present application may be a special adding device, including a BLDC metering pump, a drug pipeline, and the like.
The intelligent phosphorus control drug control device 101 in the embodiment of the present application includes a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to realize:
controlling a sensing measuring device to acquire real-time changes of the phosphorus value of the inlet water and the phosphorus value of the outlet water of the sedimentation tank;
according to the real-time change of the water inlet phosphorus value and the water outlet phosphorus value, under the constraint condition of a dynamic replenishment decision model, dynamically determining the adding rate of a phosphorus control medicine by using an intelligent control device, and generating a phosphorus control instruction corresponding to the adding rate;
according to the phosphorus control instruction generated by the intelligent control device, the phosphorus control medicine with the addition rate is added into the sedimentation tank through a phosphorus control medicine adding device;
the dynamic replenishment decision model is as follows:
Figure 107175DEST_PATH_IMAGE001
Figure 76268DEST_PATH_IMAGE002
Figure 28044DEST_PATH_IMAGE003
wherein, the
Figure 828509DEST_PATH_IMAGE004
H is the interval time of each measurement; d (t) is the required adding rate of the phosphorus control medicine at the time t;
Figure 207538DEST_PATH_IMAGE005
is the initial feeding time point;
Figure 663927DEST_PATH_IMAGE006
for dynamically determining each time point of the updating of the phosphorus control instruction of the phosphorus control medicament adding rate,
Figure 419394DEST_PATH_IMAGE007
is a decision variable; n is a positive integer; the above-mentioned
Figure 12049DEST_PATH_IMAGE009
Is the phosphorus value of the effluent at the s moment
Figure 93137DEST_PATH_IMAGE010
The method comprises the following steps that A is a preset phosphorus control target, and the initial cost for putting after an instruction is obtained each time; i is the unit putting cost of the phosphorus control medicine;
the medicine adding times n from the t moment to the t +1 moment can be obtained according to the model, and the medicine adding time point
Figure 771243DEST_PATH_IMAGE013
And
Figure 64821DEST_PATH_IMAGE014
to
Figure 308721DEST_PATH_IMAGE015
Time-interval phosphorus control medicine adding rate
Figure 295132DEST_PATH_IMAGE016
；
Figure 522851DEST_PATH_IMAGE017
The above-mentioned
Figure 620120DEST_PATH_IMAGE018
Is composed of
Figure 187367DEST_PATH_IMAGE019
To
Figure 547941DEST_PATH_IMAGE020
The addition rate of the phosphorus-controlling medicine in time period
Figure 466219DEST_PATH_IMAGE021
Is the lowest adding rate for ensuring the normal medicine feeding, the
Figure 101599DEST_PATH_IMAGE021
Is a preset constant.
According to the embodiment of the application, the adding amount of the phosphorus control medicine can be automatically adjusted timely and accurately, the total phosphorus concentration of effluent can be guaranteed to reach the discharge standard, the adding amount of the medicine can be saved, and the secondary pollution of a water body is avoided.
In the following, more detailed embodiments of the present application are described, the intelligent phosphorus-controlled drug administration method, apparatus, and storage medium of the present application.
Specifically, as shown in fig. 2, a method for intelligently controlling the addition of a phosphorus pharmaceutical provided in the embodiment of the present application is provided.
The method in the embodiment of the application comprises the following steps:
s21, controlling the sensing and measuring device to collect real-time changes of the phosphorus value of the inlet water and the phosphorus value of the outlet water of the sedimentation tank;
s22, dynamically determining the adding rate of a phosphorus control medicine by using an intelligent control device under the constraint condition of a dynamic replenishment decision model according to the real-time changes of the phosphorus value of the inlet water and the phosphorus value of the outlet water, and generating a phosphorus control instruction corresponding to the adding rate;
and S23, according to the phosphorus control instruction generated by the intelligent control device, adding the phosphorus control medicine with the addition rate into the sedimentation tank through a phosphorus control medicine adding device.
According to the method provided by the embodiment of the application, the root control sensing measurement device collects the real-time change of the phosphorus value of the inlet water and the phosphorus value of the outlet water of the sedimentation tank, the adding amount of the phosphorus control medicine is dynamically determined under the constraint condition of the dynamic supply decision model according to the real-time change of the phosphorus value of the inlet water and the phosphorus value of the outlet water, a phosphorus control instruction corresponding to the adding amount is generated, and then the phosphorus control medicine is added into the sedimentation tank through the phosphorus control medicine adding device according to the phosphorus control instruction.
In one embodiment, the above-mentioned steps S21 to S23 are further described.
And S21, controlling the sensing and measuring device to acquire the real-time change of the phosphorus value of the inlet water and the phosphorus value of the outlet water of the sedimentation tank.
And S22, dynamically determining the adding rate of a phosphorus control medicine by using an intelligent control device under the constraint condition of a dynamic replenishment decision model according to the real-time change of the phosphorus value of the inlet water and the phosphorus value of the outlet water, and generating a phosphorus control instruction corresponding to the adding rate.
Specifically, in the embodiment of the present application, the constraint conditions of the dynamic replenishment decision model are:
Figure 585670DEST_PATH_IMAGE001
Figure 117146DEST_PATH_IMAGE002
Figure 257140DEST_PATH_IMAGE003
wherein, the
Figure 758529DEST_PATH_IMAGE004
H is the interval time of each measurement; d (t) is the required adding rate of the phosphorus control medicine at the time t;
Figure 503631DEST_PATH_IMAGE005
is the initial feeding time point;
Figure 2745DEST_PATH_IMAGE006
for dynamically determining each time point of the updating of the phosphorus control instruction of the phosphorus control medicament adding rate,
Figure 630036DEST_PATH_IMAGE007
is a decision variable; n is a positive integer; the above-mentioned
Figure 613078DEST_PATH_IMAGE009
Is the phosphorus value of the effluent at the s moment
Figure 275004DEST_PATH_IMAGE010
The method comprises the following steps that A is a preset phosphorus control target, and the initial cost for putting after an instruction is obtained each time; i is the unit putting cost of the phosphorus control medicine;
the medicine adding times n from the t moment to the t +1 moment can be obtained according to the model, and the medicine adding time point
Figure 945020DEST_PATH_IMAGE013
And
Figure 856344DEST_PATH_IMAGE014
to
Figure 637218DEST_PATH_IMAGE015
Time-interval phosphorus control medicine adding rate
Figure 356912DEST_PATH_IMAGE016
；
Figure 197829DEST_PATH_IMAGE017
The above-mentioned
Figure 799712DEST_PATH_IMAGE018
Is composed of
Figure 181015DEST_PATH_IMAGE019
To
Figure 551953DEST_PATH_IMAGE020
The addition rate of the phosphorus-controlling medicine in time period
Figure 563772DEST_PATH_IMAGE021
Is the lowest adding rate for ensuring the normal medicine feeding, the
Figure 387371DEST_PATH_IMAGE021
Is a preset constant.
By means of the constraint of the dynamic replenishment decision model, the phosphorus control can reach the preset target at the final state moment, and the amount of phosphorus control medicines continuously added in the control process is the lowest.
Further, in the embodiments of the present application, a feedback control algorithm may be used to dynamically determine the dosing amount of the phosphorous control drug. The feedback control algorithm comprises:
s1, collecting the sedimentation tank
Figure 775627DEST_PATH_IMAGE022
Phosphorus value of water entering at all times
Figure 1072DEST_PATH_IMAGE023
And the phosphorus value of the effluent at the t moment
Figure 183792DEST_PATH_IMAGE024
And an
Figure 760267DEST_PATH_IMAGE025
Phosphorus value of water entering at all times
Figure 686634DEST_PATH_IMAGE026
And the phosphorus value of the effluent
Figure 766586DEST_PATH_IMAGE027
Said
Figure 385786DEST_PATH_IMAGE028
Is a positive integer;
s2, according to the phosphorus value of the inlet water
Figure 183978DEST_PATH_IMAGE026
And
Figure 851719DEST_PATH_IMAGE023
judging whether the abnormality exists, if so, determining according to a preset formula
Figure 848494DEST_PATH_IMAGE029
Adding rate of phosphorus-controlling medicine at any moment
Figure 638596DEST_PATH_IMAGE030
。
Specifically, in the step S2, if
Figure 658504DEST_PATH_IMAGE035
Then determine it as the first anomaly and use the formula
Figure 192254DEST_PATH_IMAGE036
Determining the addition rate of phosphorus-controlling drugs at time t
Figure 981218DEST_PATH_IMAGE037
Wherein
Figure 676642DEST_PATH_IMAGE038
Is a constant;
in said S2, if
Figure 449426DEST_PATH_IMAGE039
And satisfy
Figure 521287DEST_PATH_IMAGE040
Or is or
Figure 430337DEST_PATH_IMAGE041
Then determine as the second anomaly and use the formula
Figure 562241DEST_PATH_IMAGE042
Determining the addition rate of phosphorus-controlling drugs at time t
Figure 347620DEST_PATH_IMAGE037
Wherein
Figure 223172DEST_PATH_IMAGE043
At a predetermined percentage, e.g.
Figure 455571DEST_PATH_IMAGE044
。
S3, if there is no abnormal, according to the phosphorus value of the inlet water
Figure 492797DEST_PATH_IMAGE026
And
Figure 240173DEST_PATH_IMAGE023
predicting the phosphorus value of water entering from t time to t +1 time
Figure 653837DEST_PATH_IMAGE031
。
Specifically, the inflow water phosphorus value prediction algorithm can predict the inflow water phosphorus value and the water quality change at the future moment through artificial intelligence aiming at the difficulties of nonlinearity, multiple factors and large time lag in the phosphorus removal process so as to accurately control the outflow water phosphorus value. And continuously correcting the large data in a machine learning mode, so that the control capability is improved.
In step S3, if the water quality change can be predicted without abnormality in the phosphorus value of the influent water, the artificial intelligence prediction conditions include: (1) inertia or continuity: assuming that the upstream sewage source has certain continuity and stability in time and geographic location, that is, a trend exists; (2) analogized or repeatable: the historical data is assumed to be valid, namely, the previous data has reference value for the future; (3) variable dependencies and independencies: on the premise that the environment is relatively stable, the interpretation variables (input) are independent of each other, and the interpretation variables (input) are related to the interpreted variables (output); (4) deviation convergence: assuming that the time sequence of the control deviation follows normal distribution, the expected value is zero, and the variance is converged, so that the system is in a steady state; (5) a feedback compensation mechanism: assuming that a control deviation is found, the control system can be repaired by a feedback compensation mechanism.
In the embodiment of the present application, in the S3, the phosphorus value according to the water is determined by the neural network model
Figure 537479DEST_PATH_IMAGE026
And
Figure 745607DEST_PATH_IMAGE023
predicting the phosphorus value of water entering from t time to t +1 time
Figure 980279DEST_PATH_IMAGE031
. The neural network model may be, but is not limited to, a RBF (Radial Basis Function) neural network model.
S4, according to
Figure 932054DEST_PATH_IMAGE022
Phosphorus value of water entering at all times
Figure 466941DEST_PATH_IMAGE023
And the phosphorus value of the water at the time t
Figure 314811DEST_PATH_IMAGE024
And an
Figure 771200DEST_PATH_IMAGE022
Adding amount of phosphorus-controlling medicine from time to time t
Figure 526667DEST_PATH_IMAGE032
Determining
Figure 650480DEST_PATH_IMAGE022
Phosphorus control efficiency from time to time t
Figure 997148DEST_PATH_IMAGE033
。
Specifically, in the step S4, the phosphorus control efficiency at the time t-1 is determined by using the following formula
Figure 675254DEST_PATH_IMAGE033
：
Figure 234411DEST_PATH_IMAGE045
，
Wherein IA is the flow of the sedimentation tank, the
Figure 681573DEST_PATH_IMAGE032
The dosage of the phosphorus-controlling medicament from the time t-1 to the time t.
S5, according to the predicted phosphorus value of water entering at the time t
Figure 667984DEST_PATH_IMAGE031
The above-mentioned
Figure 895703DEST_PATH_IMAGE022
Phosphorus control efficiency from time to time t
Figure 992972DEST_PATH_IMAGE033
And a predetermined phosphorus control target
Figure 560219DEST_PATH_IMAGE034
And calculating the addition rate D (t) of the phosphorus control drug required at the time t.
Specifically, in S5, the required addition rate D of the phosphorus-controlling drug at time t is calculated by using the following formula
Figure 717531DEST_PATH_IMAGE048
：
Figure 370230DEST_PATH_IMAGE046
。
S6, according to the dynamic supply decision model, calculating the dosing times n and dosing time
Figure 802348DEST_PATH_IMAGE013
And an
Figure 489681DEST_PATH_IMAGE014
To
Figure 817894DEST_PATH_IMAGE015
Time-interval phosphorus control medicine adding rate
Figure 957889DEST_PATH_IMAGE016
。
And S23, according to the phosphorus control instruction generated by the intelligent control device, adding the phosphorus control medicine with the addition rate into the sedimentation tank through a phosphorus control medicine adding device.
Referring to fig. 3, a schematic diagram of the effect of the intelligent phosphorus control drug adding method is provided in an embodiment of the present application.
Specifically, the XX sewage treatment plant in the embodiment of the application has the treatment capacity of 5 ten thousand tons/day, and the main process is improved
Figure 137240DEST_PATH_IMAGE047
+ high-efficient sedimentation tank + filtering pond. The total phosphorus control target is not more than 0.5 mg/L. The phosphorus control drug used is polymeric ferric sulfate.
When the intelligent phosphorus control medicine adding method in the embodiment of the application is not used, the adding amount of the phosphorus control medicine is 160.5 tons/month, and when the intelligent phosphorus control medicine adding method in the embodiment of the application is used, the adding amount of the phosphorus control medicine is 90 tons/month, and the medicine saving rate reaches 43.9%.
In the aspect of the phosphorus control value index, the peak value of the phosphorus value of the inlet water is 0.99mg/L, and when the intelligent phosphorus control medicine adding method of the embodiment is adopted, the corresponding phosphorus value of the outlet water also meets the emission standard, and the peak value is 0.48 mg/L. With the decrease of the phosphorus value of the subsequent inlet water, the average value of the phosphorus value of the outlet water is 0.21 mg/L.
Referring to fig. 4, an intelligent phosphorus control device 400 is provided in the embodiments of the present application. The intelligent phosphorus control device 400 in the embodiment of the present application can be applied to the intelligent phosphorus control drug control device 101 in fig. 1. The intelligent phosphorus control device 400 in the embodiment of the present application may be implemented in the form of software or hardware.
The apparatus 400 in the embodiment of the present application includes:
the sensing and measuring device control unit 41 is used for controlling the sensing and measuring device to acquire the real-time change of the phosphorus value of the inlet water and the phosphorus value of the outlet water of the sedimentation tank;
an intelligent calculation unit 42, configured to dynamically determine, according to real-time changes of the phosphorus value in water and the phosphorus value in water, an addition rate of a phosphorus control drug under a constraint condition of a dynamic replenishment decision model, and generate a phosphorus control instruction corresponding to the addition rate;
the control unit 43 of the phosphorus control drug adding device is used for controlling the phosphorus control drug adding device to add the phosphorus control drug with the adding rate into the sedimentation tank according to the phosphorus control instruction;
wherein the dynamic replenishment decision model is:
Figure 679080DEST_PATH_IMAGE001
Figure 178195DEST_PATH_IMAGE002
Figure 805485DEST_PATH_IMAGE003
wherein, the
Figure 844985DEST_PATH_IMAGE004
H is the interval time of each measurement; d (t) is the required adding rate of the phosphorus control medicine at the time t;
Figure 506911DEST_PATH_IMAGE005
is the initial feeding time point;
Figure 911347DEST_PATH_IMAGE006
for dynamically determining each time point of the updating of the phosphorus control instruction of the phosphorus control medicament adding rate,
Figure 760355DEST_PATH_IMAGE007
is a decision variable; n is a positive integer; the above-mentioned
Figure 806808DEST_PATH_IMAGE009
Is the phosphorus value of the effluent at the s moment
Figure 119978DEST_PATH_IMAGE010
The method comprises the following steps that A is a preset phosphorus control target, and the initial cost for putting after an instruction is obtained each time; i is the unit putting cost of the phosphorus control medicine;
the medicine adding times n from the t moment to the t +1 moment can be obtained according to the model, and the medicine adding time point
Figure 164157DEST_PATH_IMAGE013
And
Figure 500460DEST_PATH_IMAGE014
to
Figure 85026DEST_PATH_IMAGE015
Time-interval phosphorus control medicine adding rate
Figure 455964DEST_PATH_IMAGE016
；
Figure 264520DEST_PATH_IMAGE017
The above-mentioned
Figure 88120DEST_PATH_IMAGE018
Is composed of
Figure 476376DEST_PATH_IMAGE019
To
Figure 967400DEST_PATH_IMAGE020
The addition rate of the phosphorus-controlling medicine in time period
Figure 150119DEST_PATH_IMAGE021
Is the lowest adding rate for ensuring the normal medicine feeding, the
Figure 195436DEST_PATH_IMAGE021
Is a preset constant.
Specifically, the sensing and measuring device control unit 41 is configured to control the sensing and measuring device to acquire real-time changes of the phosphorus value of the inlet water and the phosphorus value of the outlet water of the sedimentation tank.
And the intelligent calculation unit 42 is used for dynamically determining the adding amount of the phosphorus control medicine by using an intelligent control device under the constraint condition of a dynamic replenishment decision model according to the real-time change of the phosphorus value in the water and the phosphorus value in the water, and generating a phosphorus control instruction corresponding to the adding amount.
Specifically, in the embodiment of the present application, the constraint conditions of the dynamic replenishment decision model are:
Figure 121804DEST_PATH_IMAGE001
Figure 264072DEST_PATH_IMAGE002
Figure 352114DEST_PATH_IMAGE003
wherein, the
Figure 681464DEST_PATH_IMAGE004
H is the interval time of each measurement; d (t) is the required adding rate of the phosphorus control medicine at the time t;
Figure 208260DEST_PATH_IMAGE005
is the initial feeding time point;
Figure 222613DEST_PATH_IMAGE006
for dynamically determining each time point of the updating of the phosphorus control instruction of the phosphorus control medicament adding rate,
Figure 747135DEST_PATH_IMAGE007
is a decision variable; n is a positive integer; the above-mentioned
Figure 563782DEST_PATH_IMAGE009
Is the phosphorus value of the effluent at the s moment
Figure 894269DEST_PATH_IMAGE010
The method comprises the following steps that A is a preset phosphorus control target, and the initial cost for putting after an instruction is obtained each time; i is the unit putting cost of the phosphorus control medicine;
the medicine adding times n from the t moment to the t +1 moment can be obtained according to the model, and the medicine adding time point
Figure 683233DEST_PATH_IMAGE013
And
Figure 175394DEST_PATH_IMAGE014
to
Figure 682599DEST_PATH_IMAGE015
Time-interval phosphorus control medicine adding rate
Figure 285619DEST_PATH_IMAGE016
；
Figure 991407DEST_PATH_IMAGE017
The above-mentioned
Figure 857731DEST_PATH_IMAGE018
Is composed of
Figure 383391DEST_PATH_IMAGE019
To
Figure 258943DEST_PATH_IMAGE020
The addition rate of the phosphorus-controlling medicine in time period
Figure 22500DEST_PATH_IMAGE021
Is the lowest adding rate for ensuring the normal medicine feeding, the
Figure 122043DEST_PATH_IMAGE021
Is a preset constant.
By means of the constraint of the dynamic replenishment decision model, the phosphorus control can reach the preset target at the final state moment, and the amount of phosphorus control medicines continuously added in the control process is the lowest.
Furthermore, in the embodiment of the present application, a feedback control algorithm may be used to dynamically determine the dosing rate of the phosphorus control drug. The feedback control algorithm comprises:
s1, collecting the sedimentation tank
Figure 603839DEST_PATH_IMAGE022
Phosphorus value of water entering at all times
Figure 751924DEST_PATH_IMAGE023
And the phosphorus value of the effluent at the t moment
Figure 635566DEST_PATH_IMAGE024
And an
Figure 906011DEST_PATH_IMAGE025
Phosphorus value of water entering at all times
Figure 875104DEST_PATH_IMAGE026
And the phosphorus value of the effluent
Figure 92458DEST_PATH_IMAGE027
Said
Figure 892924DEST_PATH_IMAGE028
Is a positive integer;
s2, according to the phosphorus value of the inlet water
Figure 537532DEST_PATH_IMAGE026
And
Figure 734201DEST_PATH_IMAGE023
judging whether the abnormality exists, if so, determining according to a preset formula
Figure 286406DEST_PATH_IMAGE029
Adding rate of phosphorus-controlling medicine at any moment
Figure 206957DEST_PATH_IMAGE030
。
Specifically, in the step S2, if
Figure 756887DEST_PATH_IMAGE035
Then determine it as the first anomaly and use the formula
Figure 434993DEST_PATH_IMAGE036
Determining the addition rate of phosphorus-controlling drugs at time t
Figure 994150DEST_PATH_IMAGE037
Wherein
Figure 706891DEST_PATH_IMAGE038
Is a constant;
in said S2, if
Figure 490040DEST_PATH_IMAGE039
And satisfy
Figure 389863DEST_PATH_IMAGE040
Or is or
Figure 752711DEST_PATH_IMAGE041
Then determine as the second anomaly and use the formula
Figure 585538DEST_PATH_IMAGE042
Determining the addition rate of phosphorus-controlling drugs at time t
Figure 742849DEST_PATH_IMAGE037
Wherein
Figure 129968DEST_PATH_IMAGE043
At a predetermined percentage, e.g.
Figure 30928DEST_PATH_IMAGE044
。
S3, if there is no abnormal, according to the phosphorus value of the inlet water
Figure 718262DEST_PATH_IMAGE026
And
Figure 46475DEST_PATH_IMAGE023
predicting the phosphorus value of water entering from t time to t +1 time
Figure 186469DEST_PATH_IMAGE031
。
Specifically, the inflow water phosphorus value prediction algorithm can predict the inflow water phosphorus value and the water quality change at the future moment through artificial intelligence aiming at the difficulties of nonlinearity, multiple factors and large time lag in the phosphorus removal process so as to accurately control the outflow water phosphorus value. And continuously correcting the large data in a machine learning mode, so that the control capability is improved.
In step S3, if the water quality change can be predicted without abnormality in the phosphorus value of the influent water, the artificial intelligence prediction conditions include: (1) inertia or continuity: assuming that the upstream sewage source has certain continuity and stability in time and geographic location, that is, a trend exists; (2) analogized or repeatable: the historical data is assumed to be valid, namely, the previous data has reference value for the future; (3) variable dependencies and independencies: on the premise that the environment is relatively stable, the interpretation variables (input) are independent of each other, and the interpretation variables (input) are related to the interpreted variables (output); (4) deviation convergence: assuming that the time sequence of the control deviation follows normal distribution, the expected value is zero, and the variance is converged, so that the system is in a steady state; (5) a feedback compensation mechanism: assuming that a control deviation is found, the control system can be repaired by a feedback compensation mechanism.
In the embodiment of the present application, in the S3, the phosphorus value according to the water is determined by the neural network model
Figure 625541DEST_PATH_IMAGE026
And
Figure 964118DEST_PATH_IMAGE023
predicting the phosphorus value of water entering from t time to t +1 time
Figure 463233DEST_PATH_IMAGE031
. The neural network model may be, but is not limited to, a RBF (Radial Basis Function) neural network model.
S4, according to
Figure 824944DEST_PATH_IMAGE022
Phosphorus value of water entering at all times
Figure 67706DEST_PATH_IMAGE023
And the phosphorus value of the water at the time t
Figure 260790DEST_PATH_IMAGE024
And an
Figure 134068DEST_PATH_IMAGE022
Adding amount of phosphorus-controlling medicine from time to time t
Figure 248655DEST_PATH_IMAGE032
Determining
Figure 295108DEST_PATH_IMAGE022
Phosphorus control efficiency from time to time t
Figure 545961DEST_PATH_IMAGE033
。
Specifically, in the step S4, the phosphorus control efficiency at the time t-1 is determined by using the following formula
Figure 381019DEST_PATH_IMAGE033
：
Figure 982901DEST_PATH_IMAGE045
，
Wherein IA is the flow of the sedimentation tank, the
Figure 567466DEST_PATH_IMAGE032
The dosage of the phosphorus-controlling medicament from the time t-1 to the time t.
S5, according to the predicted phosphorus value of water entering at the time t
Figure 735143DEST_PATH_IMAGE031
The above-mentioned
Figure 746961DEST_PATH_IMAGE022
Phosphorus control efficiency from time to time t
Figure 39402DEST_PATH_IMAGE033
And a predetermined phosphorus control target
Figure 958817DEST_PATH_IMAGE034
And calculating the addition rate D (t) of the phosphorus control drug required at the time t.
Specifically, in S5, the required addition rate D of the phosphorus-controlling drug at time t is calculated by using the following formula
Figure 184262DEST_PATH_IMAGE048
：
Figure 632560DEST_PATH_IMAGE046
。
S6, according to the dynamic supply decision model, calculating the dosing times n and dosing time
Figure 943456DEST_PATH_IMAGE013
And an
Figure 869824DEST_PATH_IMAGE014
To
Figure 215354DEST_PATH_IMAGE015
Time-interval phosphorus control medicine adding rate
Figure 568975DEST_PATH_IMAGE016
。
And the control unit 43 of the phosphorus control drug adding device is used for controlling the phosphorus control drug adding device to add the phosphorus control drug with the adding rate into the sedimentation tank according to the phosphorus control instruction.
The intelligent phosphorus control medicine feeding device provided by the embodiment of the application, the root control sensing and measuring device collects the real-time change of the phosphorus value of the inlet water and the phosphorus value of the outlet water of the sedimentation tank, the feeding amount of the phosphorus control medicine is dynamically determined under the constraint condition of a dynamic supply decision model according to the real-time change of the phosphorus value of the inlet water and the phosphorus value of the outlet water, a phosphorus control instruction corresponding to the feeding amount is generated, and then the phosphorus control medicine is fed into the sedimentation tank through the phosphorus control medicine feeding device according to the phosphorus control instruction.
The embodiment of the application further provides a storage medium, wherein the storage medium comprises a stored program, and when the program runs, the device where the storage medium is located is controlled to execute the intelligent phosphorus-controlled medicine adding method in the foregoing embodiment.
In the embodiments provided in the present invention, it should be understood that the disclosed system, apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the above-described division of units is merely one type of division of logical functions, and there may be other divisions when actually implemented, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The integrated unit implemented in the form of a software functional unit may be stored in a computer readable storage medium. The software functional unit is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device) or a Processor (Processor) to execute some steps of the above methods according to various embodiments of the present invention. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.

Claims (10)

1. An intelligent phosphorus control drug adding method is characterized by comprising the following steps:
controlling a sensing measuring device to acquire real-time changes of the phosphorus value of the inlet water and the phosphorus value of the outlet water of the sedimentation tank;
according to the real-time change of the water inlet phosphorus value and the water outlet phosphorus value, under the constraint condition of a dynamic replenishment decision model, dynamically determining the adding rate of a phosphorus control medicine by using an intelligent control device, and generating a phosphorus control instruction corresponding to the adding rate;
according to the phosphorus control instruction generated by the intelligent control device, the phosphorus control medicine with the addition rate is added into the sedimentation tank through a phosphorus control medicine adding device;
the dynamic replenishment decision model is as follows:
Figure 666606DEST_PATH_IMAGE001
Figure 458981DEST_PATH_IMAGE002
Figure 596701DEST_PATH_IMAGE003
wherein, the
Figure 183540DEST_PATH_IMAGE004
H is the interval time of each measurement; d (t) is
Figure 141132DEST_PATH_IMAGE005
Controlling the required adding rate of the phosphorus medicine at any time;
Figure 471619DEST_PATH_IMAGE006
is the initial feeding time point;
Figure 463846DEST_PATH_IMAGE007
for dynamically determining each time point of the updating of the phosphorus control instruction of the phosphorus control medicament adding rate,
Figure 487166DEST_PATH_IMAGE008
is a decision variable; the above-mentioned
Figure 197633DEST_PATH_IMAGE009
Is a positive integer; the above-mentioned
Figure 66232DEST_PATH_IMAGE010
Is the effluent phosphorus value at the S moment
Figure 178544DEST_PATH_IMAGE011
Is a preset phosphorus control target, the
Figure 372765DEST_PATH_IMAGE012
Initial cost for launching after obtaining the order each time; the above-mentionedI is the unit putting cost of the phosphorus control medicine;
can be solved according to the model
Figure 570528DEST_PATH_IMAGE005
Is at the moment
Figure 260396DEST_PATH_IMAGE013
The dosing times n and n between the moments
Figure 227215DEST_PATH_IMAGE014
And
Figure 592337DEST_PATH_IMAGE015
to
Figure 746238DEST_PATH_IMAGE016
Time-interval phosphorus control medicine adding rate
Figure 222219DEST_PATH_IMAGE017
；
Figure 43544DEST_PATH_IMAGE018
The above-mentioned
Figure 579568DEST_PATH_IMAGE019
Is composed of
Figure 486344DEST_PATH_IMAGE020
To
Figure 766016DEST_PATH_IMAGE021
The addition rate of the phosphorus-controlling medicine in time period
Figure 707427DEST_PATH_IMAGE022
Is the lowest adding rate for ensuring the normal medicine feeding, the
Figure 414352DEST_PATH_IMAGE022
Is a preset constant.
2. The method of claim 1, wherein dynamically determining the dosing rate of the phosphorus-controlling drug using the intelligent control device comprises:
and the intelligent control device dynamically determines the adding rate of the phosphorus control medicine through a feedback control algorithm.
3. The method of claim 2, wherein dynamically determining the dosing rate of the phosphorus-control drug via a feedback control algorithm comprises:
s1, collecting the sedimentation tank
Figure 808424DEST_PATH_IMAGE023
Phosphorus value of water entering at all times
Figure 626207DEST_PATH_IMAGE024
And the phosphorus value of the effluent at the t moment
Figure 890967DEST_PATH_IMAGE025
And an
Figure 768793DEST_PATH_IMAGE026
Phosphorus value of water entering at all times
Figure 650161DEST_PATH_IMAGE027
And the phosphorus value of the effluent
Figure 537215DEST_PATH_IMAGE028
Said
Figure 187639DEST_PATH_IMAGE029
Is a positive integer;
s2, according to the phosphorus value of the inlet water
Figure 970787DEST_PATH_IMAGE027
And
Figure 339451DEST_PATH_IMAGE024
judging whether the abnormality exists, if so, determining according to a preset formula
Figure 499037DEST_PATH_IMAGE005
Adding rate of phosphorus-controlling medicine at any moment
Figure 269547DEST_PATH_IMAGE030
；
S3, if there is no abnormal, according to the phosphorus value of the inlet water
Figure 426859DEST_PATH_IMAGE027
And
Figure 407453DEST_PATH_IMAGE024
prediction
Figure 246096DEST_PATH_IMAGE005
Phosphorus value of water entering from time t +1
Figure 730167DEST_PATH_IMAGE031
；
S4, according to
Figure 261643DEST_PATH_IMAGE023
Phosphorus value of water entering at all times
Figure 463954DEST_PATH_IMAGE024
And the phosphorus value of the water at the time t
Figure 840709DEST_PATH_IMAGE025
And an
Figure 444865DEST_PATH_IMAGE023
Adding amount of phosphorus-controlling medicine from time to time t
Figure 881663DEST_PATH_IMAGE032
Determining
Figure 577130DEST_PATH_IMAGE023
Phosphorus control efficiency from time to time t
Figure 757575DEST_PATH_IMAGE033
；
S5, according to the predicted phosphorus value of water entering at the time t
Figure 481818DEST_PATH_IMAGE031
The above-mentioned
Figure 89517DEST_PATH_IMAGE023
Phosphorus control efficiency from time to time t
Figure 841DEST_PATH_IMAGE033
And a predetermined phosphorus control target
Figure 719398DEST_PATH_IMAGE034
Calculating the addition rate D (t) of the phosphorus control drug required at the time t;
s6, according to the dynamic supply decision model, calculating the dosing times n and dosing time
Figure 970251DEST_PATH_IMAGE014
And an
Figure 76747DEST_PATH_IMAGE015
To
Figure 740947DEST_PATH_IMAGE016
Time-interval phosphorus control medicine adding rate
Figure 263195DEST_PATH_IMAGE017
。
4. The method of claim 3, wherein the method comprises:
in said S2, if
Figure 696450DEST_PATH_IMAGE035
Then determine it as the first anomaly and use the formula
Figure 911531DEST_PATH_IMAGE036
Determining the addition rate of phosphorus-controlling drugs at time t
Figure 797447DEST_PATH_IMAGE037
Wherein
Figure 123386DEST_PATH_IMAGE038
Is a constant;
in said S2, if
Figure 145569DEST_PATH_IMAGE039
And satisfy
Figure 265972DEST_PATH_IMAGE040
Or is or
Figure 904764DEST_PATH_IMAGE041
Then determine as the second anomaly and use the formula
Figure 768814DEST_PATH_IMAGE042
Determining the addition rate of phosphorus-controlling drugs at time t
Figure 176662DEST_PATH_IMAGE037
Wherein
Figure 733545DEST_PATH_IMAGE043
Is a preset percentage.
5. The method of claim 4, wherein the step of removing the metal oxide layer comprises removing the metal oxide layer from the metal oxide layerIn that the above-mentioned
Figure 594054DEST_PATH_IMAGE044
。
6. The method of claim 4, wherein the method comprises:
in the step S3, the phosphorus value in water is determined by a neural network model
Figure 261796DEST_PATH_IMAGE027
And
Figure 258570DEST_PATH_IMAGE024
predicting the phosphorus value of water entering from t time to t +1 time
Figure 986355DEST_PATH_IMAGE031
。
7. The method of claim 6, wherein the method comprises:
in the step S4, the phosphorus control efficiency at the time t-1 is determined by using the following formula
Figure 537422DEST_PATH_IMAGE033
：
Figure 540013DEST_PATH_IMAGE045
，
Wherein IA is the flow of the sedimentation tank, the
Figure 656874DEST_PATH_IMAGE032
The dosage of the phosphorus-controlling medicament from the time t-1 to the time t.
8. The method of claim 7, wherein the method comprises:
in the step S5, the phosphorus control agent at the time t is calculated by the following formulaAddition rate D required by product
Figure 555560DEST_PATH_IMAGE046
：
Figure 328343DEST_PATH_IMAGE047
。
9. The utility model provides an intelligent accuse phosphorus medicine throws and adds device which characterized in that, the device includes:
the sensing and measuring device control unit is used for controlling the sensing and measuring device to acquire the real-time change of the phosphorus value of the inlet water and the phosphorus value of the outlet water of the sedimentation tank;
the intelligent calculation unit is used for dynamically determining the adding rate of a phosphorus control medicine under the constraint condition of a dynamic replenishment decision model according to the real-time change of the water inlet phosphorus value and the water outlet phosphorus value and generating a phosphorus control instruction corresponding to the adding rate;
the phosphorus control drug adding device control unit is used for controlling the phosphorus control drug adding device to add the phosphorus control drug with the adding rate into the sedimentation tank according to the phosphorus control instruction;
the dynamic replenishment decision model is as follows:
Figure 462522DEST_PATH_IMAGE001
Figure 574834DEST_PATH_IMAGE002
Figure 497616DEST_PATH_IMAGE003
wherein, the
Figure 960959DEST_PATH_IMAGE004
H is the interval time of each measurement; what is needed isD (t) is the required adding rate of the phosphorus control medicine at the time t;
Figure 633249DEST_PATH_IMAGE006
is the initial feeding time point;
Figure 334488DEST_PATH_IMAGE007
for dynamically determining each time point of the updating of the phosphorus control instruction of the phosphorus control medicament adding rate,
Figure 434031DEST_PATH_IMAGE008
is a decision variable; n is a positive integer; the above-mentioned
Figure 119091DEST_PATH_IMAGE010
Is the phosphorus value of the effluent at the s moment
Figure 595071DEST_PATH_IMAGE011
The method comprises the following steps that A is a preset phosphorus control target, and the initial cost for putting after an instruction is obtained each time; i is the unit putting cost of the phosphorus control medicine;
the medicine adding times n from the t moment to the t +1 moment can be obtained according to the model, and the medicine adding time point
Figure 681976DEST_PATH_IMAGE014
And
Figure 421262DEST_PATH_IMAGE015
to
Figure 124776DEST_PATH_IMAGE016
Time-interval phosphorus control medicine adding rate
Figure 342130DEST_PATH_IMAGE017
；
Figure 80279DEST_PATH_IMAGE018
The above-mentioned
Figure 521625DEST_PATH_IMAGE019
Is composed of
Figure 915697DEST_PATH_IMAGE020
To
Figure 936743DEST_PATH_IMAGE021
The addition rate of the phosphorus-controlling medicine in time period
Figure 857294DEST_PATH_IMAGE022
Is the lowest adding rate for ensuring the normal medicine feeding, the
Figure 876066DEST_PATH_IMAGE022
Is a preset constant.
10. A computer-readable storage medium, wherein the storage medium includes a stored program, and when the program runs, the apparatus on which the storage medium is located is controlled to execute the intelligent phosphorus-controlled drug administration method according to any one of claims 1 to 8.
CN202210284791.XA 2022-03-23 2022-03-23 Intelligent phosphorus control drug feeding method and device and storage medium Active CN114380378B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202210284791.XA CN114380378B (en) 2022-03-23 2022-03-23 Intelligent phosphorus control drug feeding method and device and storage medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202210284791.XA CN114380378B (en) 2022-03-23 2022-03-23 Intelligent phosphorus control drug feeding method and device and storage medium

Publications (2)

Publication Number Publication Date
CN114380378A true CN114380378A (en) 2022-04-22
CN114380378B CN114380378B (en) 2022-06-28

Family

ID=81206356

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202210284791.XA Active CN114380378B (en) 2022-03-23 2022-03-23 Intelligent phosphorus control drug feeding method and device and storage medium

Country Status (1)

Country Link
CN (1) CN114380378B (en)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115536130A (en) * 2022-12-01 2022-12-30 济安永蓝(北京)工程技术开发有限公司 Carbon source adding method, intelligent carbon source adding system and sewage treatment system
CN116434857A (en) * 2023-03-24 2023-07-14 青岛思普润水处理股份有限公司 Intelligent dosing setting method of sewage treatment system
CN118331209A (en) * 2024-06-11 2024-07-12 上海中韩杜科泵业制造有限公司 Intelligent dosing method and device for sewage treatment, server and storage medium

Citations (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102464426A (en) * 2010-11-15 2012-05-23 北京源汇远科技有限公司 Intelligent adding control method of chemical phosphorus removal agent for municipal wastewater plant and device thereof
CN104182794A (en) * 2014-09-05 2014-12-03 北京工业大学 Method for soft measurement of effluent total phosphorus in sewage disposal process based on neural network
CN107728479A (en) * 2017-09-29 2018-02-23 北京城市排水集团有限责任公司 A kind of biological phosphate-eliminating accuracy control method based on RBF neural
CN109928493A (en) * 2019-02-25 2019-06-25 北控水务(中国)投资有限公司 It is a kind of that method is controlled to adjust based on the accurate dissolved oxygen of big data and evolution algorithm
CN110862188A (en) * 2019-11-01 2020-03-06 光大水务（深圳）有限公司 Chemical phosphorus removal accurate dosing system and control method
CN111484198A (en) * 2020-04-22 2020-08-04 江苏凯米膜科技股份有限公司 Intelligent water quality purification phosphorus removal device, control system and control method
CN111498974A (en) * 2019-12-20 2020-08-07 中国市政工程中南设计研究总院有限公司 Intelligent dosing control system based on BP neural network
CN111943339A (en) * 2020-09-15 2020-11-17 北京首创股份有限公司 Phosphorus removal agent adding control system and method
CN111994970A (en) * 2020-07-31 2020-11-27 上海上实龙创智能科技股份有限公司 LSTM-based dosing prediction method and dosing system for efficient sewage sedimentation tank
CN112967763A (en) * 2021-03-08 2021-06-15 北京北排水环境发展有限公司 Effluent total phosphorus prediction method based on fuzzy neural network, electronic equipment and medium
CN112967761A (en) * 2021-03-09 2021-06-15 北京北排水环境发展有限公司 Sewage dephosphorization dosing calculation method and medium based on self-organizing fuzzy neural network
US20210287459A1 (en) * 2018-09-30 2021-09-16 Strong Force Intellectual Capital, Llc Digital twin systems and methods for transportation systems
CN113683169A (en) * 2021-09-18 2021-11-23 深圳市科荣软件股份有限公司 Intelligent coagulation chemical dosing method and device for water treatment plant

Patent Citations (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102464426A (en) * 2010-11-15 2012-05-23 北京源汇远科技有限公司 Intelligent adding control method of chemical phosphorus removal agent for municipal wastewater plant and device thereof
CN104182794A (en) * 2014-09-05 2014-12-03 北京工业大学 Method for soft measurement of effluent total phosphorus in sewage disposal process based on neural network
CN107728479A (en) * 2017-09-29 2018-02-23 北京城市排水集团有限责任公司 A kind of biological phosphate-eliminating accuracy control method based on RBF neural
US20210287459A1 (en) * 2018-09-30 2021-09-16 Strong Force Intellectual Capital, Llc Digital twin systems and methods for transportation systems
CN109928493A (en) * 2019-02-25 2019-06-25 北控水务(中国)投资有限公司 It is a kind of that method is controlled to adjust based on the accurate dissolved oxygen of big data and evolution algorithm
CN110862188A (en) * 2019-11-01 2020-03-06 光大水务（深圳）有限公司 Chemical phosphorus removal accurate dosing system and control method
CN111498974A (en) * 2019-12-20 2020-08-07 中国市政工程中南设计研究总院有限公司 Intelligent dosing control system based on BP neural network
CN111484198A (en) * 2020-04-22 2020-08-04 江苏凯米膜科技股份有限公司 Intelligent water quality purification phosphorus removal device, control system and control method
CN111994970A (en) * 2020-07-31 2020-11-27 上海上实龙创智能科技股份有限公司 LSTM-based dosing prediction method and dosing system for efficient sewage sedimentation tank
CN111943339A (en) * 2020-09-15 2020-11-17 北京首创股份有限公司 Phosphorus removal agent adding control system and method
CN112967763A (en) * 2021-03-08 2021-06-15 北京北排水环境发展有限公司 Effluent total phosphorus prediction method based on fuzzy neural network, electronic equipment and medium
CN112967761A (en) * 2021-03-09 2021-06-15 北京北排水环境发展有限公司 Sewage dephosphorization dosing calculation method and medium based on self-organizing fuzzy neural network
CN113683169A (en) * 2021-09-18 2021-11-23 深圳市科荣软件股份有限公司 Intelligent coagulation chemical dosing method and device for water treatment plant

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115536130A (en) * 2022-12-01 2022-12-30 济安永蓝(北京)工程技术开发有限公司 Carbon source adding method, intelligent carbon source adding system and sewage treatment system
CN115536130B (en) * 2022-12-01 2023-03-14 济安永蓝(北京)工程技术开发有限公司 Carbon source adding method, intelligent carbon source adding system and sewage treatment system
CN116434857A (en) * 2023-03-24 2023-07-14 青岛思普润水处理股份有限公司 Intelligent dosing setting method of sewage treatment system
CN116434857B (en) * 2023-03-24 2024-03-15 青岛思普润水处理股份有限公司 Intelligent dosing setting method of sewage treatment system
CN118331209A (en) * 2024-06-11 2024-07-12 上海中韩杜科泵业制造有限公司 Intelligent dosing method and device for sewage treatment, server and storage medium

Also Published As

Publication number Publication date
CN114380378B (en) 2022-06-28

Similar Documents

Publication Publication Date Title
CN114380378B (en) Intelligent phosphorus control drug feeding method and device and storage medium
CN110862188B (en) Chemical phosphorus removal accurate dosing system and control method
CN109607770B (en) Multi-scene self-learning carbon source intelligent adding system and method for denitrification tank
US9747544B2 (en) Method and system for wastewater treatment based on dissolved oxygen control by fuzzy neural network
CN114230110B (en) Short-range intelligent phosphorus removal and medicine addition control method, equipment and system for sewage treatment
CN110456754A (en) A kind of the monitoring processing system and intellectual analysis processing method, storage medium of sewage
CN102464426A (en) Intelligent adding control method of chemical phosphorus removal agent for municipal wastewater plant and device thereof
JPS6369595A (en) Method and device for controlling operation in intermittent-aeration activated sludge process
CN104238527A (en) Precise control method of sewage treatment plant aeration total quantity
CN105439285B (en) A kind of regulation method of sewage treatment
CN107540069A (en) A kind of full-automatic coagulant dosage system
CN110188946A (en) A kind of prediction technique and sewage forecasting system of wastewater parameters
CN108569756A (en) A kind of Intellectualized sewage water treatment process control new method（EBIS）
Piotrowski et al. Mixed integer nonlinear optimization of biological processes in wastewater sequencing batch reactor
Barbu et al. Applying control actions for water line and sludge line to increase wastewater treatment plant performance
AU2018293755B2 (en) A method of controlling a wastewater treatment plant
CN110188945A (en) It is a kind of produce in sewage forecasting system and sewage prediction technique
CN115759399A (en) Dosing control method, device, equipment and storage medium
Chiavola et al. Optimization of energy consumption in the biological reactor of a wastewater treatment plant by means of Oxy Fuzzy and ORP control
CN115329661A (en) Intelligent dosing model modeling, intelligent dosing system creating and dosing method
CN114488973A (en) Method and device for optimizing whole-process technological parameters of regeneration water plant and electronic equipment
JP6219239B2 (en) Water treatment plant
WO2024198227A1 (en) Intelligent control method for two-stage wastewater treatment system
CN116578124A (en) Economical sewage dephosphorization control system based on machine learning
CN105700569B (en) Method for controlling a process variable

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
GR01 Patent grant
GR01 Patent grant
TR01 Transfer of patent right

Effective date of registration: 20230823

Address after: No.18-D16464 Jianshe Road, Kaixuan Street, Liangxiang, Fangshan District, Beijing, 102488

Patentee after: Zhonghe Jian (Beijing) Environmental Protection Technology Co.,Ltd.

Address before: 507, 5th floor, 25 Wanliu East Road, Haidian District, Beijing 100089

Patentee before: Ji'an Yonglan (Beijing) Engineering Technology Development Co.,Ltd.

TR01 Transfer of patent right