CN116699982A - Online dosing control method and system for wastewater treatment - Google Patents
Online dosing control method and system for wastewater treatment Download PDFInfo
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- 238000004065 wastewater treatment Methods 0.000 title claims abstract description 108
- 238000000034 method Methods 0.000 title claims abstract description 71
- 239000002351 wastewater Substances 0.000 claims abstract description 117
- 239000003814 drug Substances 0.000 claims abstract description 106
- 229940079593 drug Drugs 0.000 claims abstract description 32
- 238000011282 treatment Methods 0.000 claims abstract description 32
- 239000003153 chemical reaction reagent Substances 0.000 claims abstract description 23
- 238000012545 processing Methods 0.000 claims description 14
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 12
- 238000001514 detection method Methods 0.000 claims description 10
- 238000004062 sedimentation Methods 0.000 claims description 9
- 238000013507 mapping Methods 0.000 claims description 8
- 239000003795 chemical substances by application Substances 0.000 claims description 6
- 238000005070 sampling Methods 0.000 claims description 6
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 claims description 4
- 238000007599 discharging Methods 0.000 claims description 4
- 229910052760 oxygen Inorganic materials 0.000 claims description 4
- 239000001301 oxygen Substances 0.000 claims description 4
- 230000001376 precipitating effect Effects 0.000 claims description 4
- 239000007787 solid Substances 0.000 claims description 4
- 230000000694 effects Effects 0.000 abstract description 13
- 238000012544 monitoring process Methods 0.000 abstract description 6
- 238000011369 optimal treatment Methods 0.000 abstract description 5
- 238000004590 computer program Methods 0.000 description 10
- 230000001276 controlling effect Effects 0.000 description 8
- 238000010586 diagram Methods 0.000 description 7
- 238000003860 storage Methods 0.000 description 7
- 238000002474 experimental method Methods 0.000 description 5
- 238000004364 calculation method Methods 0.000 description 3
- 238000004891 communication Methods 0.000 description 3
- 238000011897 real-time detection Methods 0.000 description 2
- 238000012952 Resampling Methods 0.000 description 1
- 230000001413 cellular effect Effects 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 230000015271 coagulation Effects 0.000 description 1
- 238000005345 coagulation Methods 0.000 description 1
- 238000012377 drug delivery Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000005189 flocculation Methods 0.000 description 1
- 230000016615 flocculation Effects 0.000 description 1
- 238000007726 management method Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000005312 nonlinear dynamic Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 238000003672 processing method Methods 0.000 description 1
- 230000001105 regulatory effect Effects 0.000 description 1
- 239000004984 smart glass Substances 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
- 239000002699 waste material Substances 0.000 description 1
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
- G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
- G05B13/04—Adaptive 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
- G05B13/042—Adaptive 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
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- 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
- C02F1/008—Control or steering systems not provided for elsewhere in subclass C02F
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- Y—GENERAL 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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02W—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO WASTEWATER TREATMENT OR WASTE MANAGEMENT
- Y02W10/00—Technologies for wastewater treatment
- Y02W10/10—Biological treatment of water, waste water, or sewage
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Abstract
The embodiment of the specification provides an online dosing control method and an online dosing control system for wastewater treatment, wherein the online dosing control method for wastewater treatment comprises the following steps: acquiring wastewater data and corresponding treatment data, and determining a dynamic dosing model according to the treatment data; inputting the wastewater data into a dynamic dosing model to obtain a target dosage; controlling a reagent adding device to inject a reagent into the wastewater based on the target reagent amount; and (3) acquiring wastewater treatment parameters in the wastewater treatment process, and inputting the wastewater treatment parameters into a dynamic dosing model to obtain updated target drug quantity. The dynamic dosing model is built and trained to cooperate with the real-time monitoring of wastewater treatment, so that the dosage of wastewater dosing treatment can be updated in real time, the optimal treatment effect of wastewater is ensured, and the wastewater treatment effect is greatly improved.
Description
Technical Field
The embodiment of the specification relates to the technical field of wastewater treatment, in particular to an online dosing control method and system for wastewater treatment.
Background
The thermal power plant wastewater treatment process is a nonlinear dynamic system with multiple variables, large hysteresis, dynamic property and serious interference, and is a complex industrial process which is difficult to control. The realization of automation of wastewater treatment of a thermal power plant is a necessary condition for realizing modern treatment and modern management, and is a necessary means for improving the wastewater treatment effect and reducing the cost. In the waste water treatment process of a thermal power plant, processes such as coagulation and flocculation are indispensable important parts, the process is a complex physical and chemical reaction process, and the control precision requirements on the type and dosage of the chemical are high.
At present, the traditional wastewater treatment dosing method is to take raw wastewater to perform a cup bottle experiment, find out the optimal dosing amount meeting the emission standard through the experiment, and then perform actual plant dosing treatment according to the obtained data. Meanwhile, the diaphragm travel of the dosing machine is manually adjusted by a worker to control the dosing amount, and the water quality of the effluent in the sedimentation tank is periodically sampled and detected so as to ensure that the water quality reaches the standard.
However, this traditional dosing control method needs to obtain the waste water treatment effect of dosing before this after the staff samples and detects out water quality, leads to can not adjust the optimization dosing according to waste water treatment effect in real time, simultaneously, to the dosing control of different waste water at every turn all need resampling waste water to carry out the cup bottle experiment, and need experimental adjustment repeatedly just can obtain the optimal dosing, waste time and energy, influence the treatment effeciency to waste water.
Disclosure of Invention
In view of this, the present description embodiments provide an on-line dosing control method for wastewater treatment. One or more embodiments of the present specification are also directed to an online dosing control device, a computing device, a computer readable storage medium, and a computer program for wastewater treatment, which address the technical shortcomings of the prior art.
According to a first aspect of embodiments of the present specification, there is provided an on-line dosing control method for wastewater treatment, comprising:
acquiring wastewater data and corresponding treatment data, and determining a dynamic dosing model according to the treatment data;
inputting the wastewater data into a dynamic dosing model to obtain a target dosage;
controlling a reagent adding device to inject a reagent into the wastewater based on the target reagent amount;
and (3) acquiring wastewater treatment parameters in the wastewater treatment process, and inputting the wastewater treatment parameters into a dynamic dosing model to obtain updated target drug quantity.
In one possible implementation, the wastewater data includes historical wastewater flow, pH, dissolved oxygen, suspended solids, and COD;
accordingly, after acquiring the wastewater data and the corresponding treatment data, the method further comprises:
and obtaining the matched medicament quantity when the historical wastewater of the data is treated, and establishing a mapping relation between the wastewater data and the matched medicament quantity according to the matched medicament quantity.
In one possible implementation, the method includes:
and establishing a dynamic dosing model based on the mapping relation, and establishing control connection between the output end of the dynamic dosing model and the medicament adding equipment.
In one possible implementation, inputting the wastewater data into a dynamic dosing model to obtain a target drug amount includes:
sampling the wastewater to be treated to obtain a sample, and detecting and analyzing the sample to obtain initial wastewater data;
inputting the initial wastewater data into a dynamic dosing model to obtain the target dosage.
In one possible implementation, controlling the agent adding apparatus to inject the agent into the wastewater based on the target agent amount includes:
and (3) by controlling the medicament adding equipment, injecting medicament into the wastewater according to the target medicament amount output by the dynamic medicament adding model, uniformly mixing the wastewater and the medicament, and then precipitating and discharging water.
In one possible implementation, obtaining wastewater treatment parameters in a wastewater treatment process includes:
detecting the treated wastewater in the sedimentation tank in real time by a plurality of data collectors to determine detection data; wherein, a plurality of data collectors are distributed at different depths and different flow sections in the sedimentation tank;
and summarizing the detection data to determine the wastewater treatment parameters.
In one possible implementation, inputting wastewater treatment parameters into a dynamic dosing model to obtain updated target drug amounts includes:
inputting the wastewater treatment parameters into a dynamic dosing model to obtain the dosing quantity output by the dynamic dosing model;
and correcting the target medicine dosage according to the medicine adding amount to obtain the updated target medicine dosage.
In one possible implementation, correcting the target dosage according to the dosage includes:
increasing the target medicine dosage under the condition that the medicine dosage is positive;
and under the condition that the dosage is negative, reducing the target dosage.
According to a second aspect of embodiments of the present specification, there is provided an on-line dosing control system for wastewater treatment, comprising:
the online dosing control method for wastewater treatment comprises a central processing unit, wherein the central processing unit is connected with a data acquisition module, a data backup module and an equipment control module, the data acquisition module is connected with a database and a water quality detection module, and the database is connected with the data backup module.
In one possible implementation, the central processor includes a dynamic dosing model unit and a data feedback unit.
According to a third aspect of embodiments of the present specification, there is provided an on-line dosing control device for wastewater treatment, comprising:
the data acquisition module is configured to acquire wastewater data and corresponding processing data, and determine a dynamic dosing model according to the processing data;
the medicament calculation module is configured to input the wastewater data into the dynamic dosing model to obtain a target medicament amount;
a reagent adding module configured to control the reagent adding apparatus to inject a reagent into the wastewater based on the target reagent amount;
the medicament updating module is configured to acquire wastewater treatment parameters in the wastewater treatment process, and input the wastewater treatment parameters into the dynamic dosing model to obtain updated target medicament amount.
According to a fourth aspect of embodiments of the present specification, there is provided a computing device comprising:
a memory and a processor;
the memory is used for storing computer executable instructions, and the processor is used for executing the computer executable instructions, and the computer executable instructions are executed by the processor to realize the steps of the online dosing control method for wastewater treatment.
According to a fifth aspect of embodiments of the present specification, there is provided a computer readable storage medium storing computer executable instructions which, when executed by a processor, implement the steps of the above-described on-line dosing control method for wastewater treatment.
According to a sixth aspect of embodiments of the present specification, there is provided a computer program, wherein the computer program, when executed in a computer, causes the computer to perform the steps of the above-described on-line dosing control method for wastewater treatment.
According to the method, a dynamic dosing model capable of dynamically calculating the real-time target drug dosage is established and trained according to the wastewater data and the corresponding treatment data, and the real-time monitoring of wastewater treatment is matched, so that the drug dosage of wastewater dosing treatment can be updated in real time, the optimal treatment effect of wastewater is ensured, and the problem that in a traditional dosing control method in the prior art, a worker needs to obtain the wastewater treatment effect of previous drug dosage after sampling and detecting the water quality of effluent and adjusts and optimizes the drug dosage is solved. According to the invention, a dynamic dosing model capable of dynamically calculating the real-time target dosing amount is established and trained according to the wastewater data and the corresponding processing data, and the dosing amount is quickly and optimally regulated through the feedback output of the wastewater monitoring data, so that the problem that in the prior art, workers need to resample wastewater to perform a cup bottle experiment for dosing control processing of different wastewater each time, and the optimal dosing amount can be obtained through repeated experimental regulation is solved, and therefore, the treatment efficiency of the wastewater can be greatly improved.
Drawings
FIG. 1 is a schematic illustration of an on-line dosing control method for wastewater treatment according to one embodiment of the present disclosure;
FIG. 2 is a flow chart of an on-line dosing control method for wastewater treatment according to one embodiment of the present disclosure;
FIG. 3 is a process flow diagram of an on-line dosing control method for wastewater treatment according to one embodiment of the present disclosure;
FIG. 4 is a schematic diagram of an on-line dosing control system for wastewater treatment according to one embodiment of the present disclosure;
FIG. 5 is a schematic diagram of an on-line dosing control device for wastewater treatment according to one embodiment of the present disclosure;
FIG. 6 is a block diagram of a computing device provided in one embodiment of the present description.
Detailed Description
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present description. This description may be embodied in many other forms than described herein and similarly generalized by those skilled in the art to whom this disclosure pertains without departing from the spirit of the disclosure and, therefore, this disclosure is not limited by the specific implementations disclosed below.
The terminology used in the one or more embodiments of the specification is for the purpose of describing particular embodiments only and is not intended to be limiting of the one or more embodiments of the specification. As used in this specification, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should also be understood that the term "and/or" as used in one or more embodiments of the present specification refers to and encompasses any or all possible combinations of one or more of the associated listed items.
It should be understood that, although the terms first, second, etc. may be used in one or more embodiments of this specification to describe various information, these information should not be limited by these terms. These terms are only used to distinguish one type of information from another. For example, a first may also be referred to as a second, and similarly, a second may also be referred to as a first, without departing from the scope of one or more embodiments of the present description. The word "if" as used herein may be interpreted as "at … …" or "at … …" or "responsive to a determination", depending on the context.
In this specification, an on-line dosing control method for wastewater treatment is provided, and the specification relates to an on-line dosing control device for wastewater treatment, a computing apparatus, and a computer-readable storage medium, which are described in detail in the following examples one by one.
Referring to fig. 1, fig. 1 shows a schematic view of a scenario of an on-line dosing control method for wastewater treatment according to one embodiment of the present disclosure.
In the application scenario of fig. 1, a computing device 101 may obtain wastewater data 102 and corresponding process data 103. The computing device 101 may then determine the dynamic drug delivery model 104 from the process data 103. Thereafter, the computing device 101 inputs the wastewater data 102 into the dynamic dosing model 104, resulting in a target drug amount 105. Based on the target drug amount 105, the drug adding device is controlled to inject a drug into the wastewater. Finally, wastewater treatment parameters 106 during wastewater treatment are obtained, and the wastewater treatment parameters 106 are input into the dynamic dosing model 104 to obtain updated target drug amounts, as indicated by reference numeral 107.
The computing device 101 may be hardware or software. When the computing device 101 is hardware, it may be implemented as a distributed cluster of multiple servers or terminal devices, or as a single server or single terminal device. When the computing device 101 is embodied as software, it may be installed in the hardware devices listed above. It may be implemented as a plurality of software or software modules, for example, for providing distributed services, or as a single software or software module. The present invention is not particularly limited herein.
Referring to fig. 2, fig. 2 shows a flowchart of an on-line dosing control method for wastewater treatment according to one embodiment of the present disclosure, which specifically includes the following steps.
Step 201: and acquiring wastewater data and corresponding treatment data, and determining a dynamic dosing model according to the treatment data.
Specifically, wastewater data and corresponding treatment data are acquired: the obtained wastewater data comprises historical wastewater flow, pH value, dissolved oxygen, suspended solids and COD, and the medicament quantity when the historical wastewater of the data is treated is also obtained, and the mapping relation between the wastewater data and the medicament quantity is obtained according to the two strings of data.
Step 202: inputting the wastewater data into a dynamic dosing model to obtain the target dosage.
Specifically, a dynamic dosing model is established according to the processing data: the dynamic dosing model is built according to the mapping relation between the wastewater data and the medicament amount in the step 201, and the output end of the dynamic dosing model is connected with the control end of the medicament adding device, so that the dynamic dosing model can control the medicament adding device to add a proper amount of medicament amount into the wastewater according to the data after outputting the data.
Further, wastewater data is input into the dynamic dosing model, and the target dosage at the moment is output. The method specifically comprises the following steps: referring to fig. 3, comprising:
step 301, sampling the wastewater to be treated: a sampler is adopted to initially sample the wastewater;
step 302, detecting and analyzing a sample of wastewater to be treated to obtain initial wastewater data: performing a cup and bottle experiment on an initial sample obtained by initial sampling, so as to obtain initial wastewater data which can be input into the dynamic dosing model;
step 303, inputting initial wastewater data into a dynamic dosing model;
step 304, outputting the optimal medicine amount by the dynamic medicine adding model according to the input initial wastewater data: the dynamic dosing model calculates and obtains corresponding medicament amount according to the input initial wastewater data, wherein the medicament amount is the optimal medicament amount, and the optimal medicament amount value is input into the medicament adding equipment.
Referring to fig. 2, step 203: based on the target drug amount, the drug adding device is controlled to inject the drug into the wastewater.
Specifically, controlling the medicament adding device to inject the target medicament amount into the wastewater in real time: and controlling the medicament adding equipment according to the output value of the dynamic medicament adding model, so as to inject the target medicament amount into the wastewater to be treated, uniformly mixing the wastewater and the medicament, and then precipitating and discharging water.
Step 204: and (3) acquiring wastewater treatment parameters in the wastewater treatment process, and inputting the wastewater treatment parameters into a dynamic dosing model to obtain updated target drug quantity.
Specifically, wastewater treatment parameters in the wastewater treatment process are monitored: and distributing a plurality of data collectors in different depths and different flow sections in the sedimentation tank to detect the treated wastewater in the sedimentation tank in real time, summarizing the real-time detection data, and feeding the real-time detection data back to the dynamic dosing model as real-time wastewater data.
Further, the wastewater treatment parameters are fed back and input into the dynamic dosing model in real time, and the target drug dosage is continuously updated: and receiving the fed-back real-time wastewater data by using the dynamic dosing model, outputting dosing amount according to the input real-time wastewater data, and correcting the dosing amount according to the output dosing amount so as to ensure that the target dosing amount is continuously updated.
In specific implementation, the judgment situation of the output result of the dynamic dosing model comprises the following steps: when the obtained dosage is within the value range of 0, the dosage does not need to be corrected; when the obtained dosage is in a positive range, the dosage is required to be increased; when the obtained dosage is within a negative range, the dosage needs to be reduced.
Furthermore, in the embodiment of the specification, the real-time record backup can be performed on the wastewater treatment dosing data, and a database connected with the dynamic dosing model is generated. The database can be used as historical wastewater data to provide data for establishing dynamic dosing models of different wastewater.
The embodiment of the specification provides an online dosing control method and an online dosing control system for wastewater treatment, wherein the online dosing control method for wastewater treatment comprises the following steps: acquiring wastewater data and corresponding treatment data, and determining a dynamic dosing model according to the treatment data; inputting the wastewater data into a dynamic dosing model to obtain a target dosage; controlling a reagent adding device to inject a reagent into the wastewater based on the target reagent amount; and (3) acquiring wastewater treatment parameters in the wastewater treatment process, and inputting the wastewater treatment parameters into a dynamic dosing model to obtain updated target drug quantity. The dynamic dosing model is built and trained to cooperate with the real-time monitoring of wastewater treatment, so that the dosage of wastewater dosing treatment can be updated in real time, the optimal treatment effect of wastewater is ensured, and the wastewater treatment effect is greatly improved.
Referring to fig. 4, an on-line dosing control system for wastewater treatment is applicable to the on-line dosing control method for wastewater treatment of any one of the above-mentioned items, and includes a central processing unit, where the central processing unit is connected with a data acquisition module, a data backup module and a device control module, and the data acquisition module is connected with a database and a water quality detection module, and the database is connected with the data backup module, and the central processing unit includes a dynamic dosing model unit and a data feedback unit when implementing the on-line dosing control system.
When the device is used, the data acquisition module acquires historical wastewater data and dosing data corresponding to the historical wastewater data through the database, acquires wastewater data to be treated in real time through the water quality detection module, then the central processing unit establishes a dynamic dosing model according to the acquired data through the dynamic dosing model unit, and outputs a target drug amount according to the dynamic dosing model, so that the device control module controls the drug adding device to inject a proper amount of drug into wastewater, and wastewater treatment is performed.
And the wastewater in the treatment is monitored in real time, the target drug amount is corrected by feeding back the wastewater to the dynamic drug adding model according to the data feedback unit, and meanwhile, the data is backed up into the database by the data backup module in the whole process.
Therefore, the invention can establish and train a dynamic dosing model capable of dynamically calculating the real-time target drug amount according to the wastewater data and the corresponding treatment data, and is matched with a real-time monitoring technology for wastewater treatment, thereby being capable of carrying out real-time updating treatment on the drug amount of wastewater dosing treatment so as to ensure the optimal treatment effect on the wastewater and greatly improving the treatment effect on the wastewater.
Corresponding to the method embodiment, the present disclosure also provides an embodiment of an on-line dosing control device for wastewater treatment, and fig. 5 shows a schematic structural diagram of an on-line dosing control device for wastewater treatment according to one embodiment of the present disclosure. As shown in fig. 5, the apparatus includes:
a data acquisition module 501 configured to acquire wastewater data and corresponding treatment data, and determine a dynamic dosing model from the treatment data;
the medicament calculation module 502 is configured to input the wastewater data into the dynamic dosing model to obtain a target medicament amount;
a reagent adding module 503 configured to control the reagent adding apparatus to inject a reagent into the wastewater based on the target reagent amount;
the medicament updating module 504 is configured to acquire wastewater treatment parameters in the wastewater treatment process, and input the wastewater treatment parameters into the dynamic dosing model to obtain an updated target medicament amount.
In one possible implementation, the data acquisition module 501 is further configured to:
the wastewater data includes historical wastewater flow, pH, dissolved oxygen, suspended solids, and COD;
accordingly, after acquiring the wastewater data and the corresponding treatment data, the method further comprises:
and obtaining the matched medicament quantity when the historical wastewater of the data is treated, and establishing a mapping relation between the wastewater data and the matched medicament quantity according to the matched medicament quantity.
In one possible implementation, the data acquisition module 501 is further configured to:
and establishing a dynamic dosing model based on the mapping relation, and establishing control connection between the output end of the dynamic dosing model and the medicament adding equipment.
In one possible implementation, the medicament calculation module 502 is further configured to:
sampling the wastewater to be treated to obtain a sample, and detecting and analyzing the sample to obtain initial wastewater data;
inputting the initial wastewater data into a dynamic dosing model to obtain the target dosage.
In one possible implementation, the medicament addition module 503 is further configured to:
and (3) by controlling the medicament adding equipment, injecting medicament into the wastewater according to the target medicament amount output by the dynamic medicament adding model, uniformly mixing the wastewater and the medicament, and then precipitating and discharging water.
In one possible implementation, the medicament update module 504 is further configured to:
detecting the treated wastewater in the sedimentation tank in real time by a plurality of data collectors to determine detection data; wherein, a plurality of data collectors are distributed at different depths and different flow sections in the sedimentation tank;
and summarizing the detection data to determine the wastewater treatment parameters.
In one possible implementation, the medicament update module 504 is further configured to:
inputting the wastewater treatment parameters into a dynamic dosing model to obtain the dosing quantity output by the dynamic dosing model;
and correcting the target medicine dosage according to the medicine adding amount to obtain the updated target medicine dosage.
In one possible implementation, the medicament update module 504 is further configured to:
increasing the target medicine dosage under the condition that the medicine dosage is positive;
and under the condition that the dosage is negative, reducing the target dosage.
The embodiment of the specification provides an online dosing control method and an online dosing control system for wastewater treatment, wherein the online dosing control device for wastewater treatment comprises: acquiring wastewater data and corresponding treatment data, and determining a dynamic dosing model according to the treatment data; inputting the wastewater data into a dynamic dosing model to obtain a target dosage; controlling a reagent adding device to inject a reagent into the wastewater based on the target reagent amount; and (3) acquiring wastewater treatment parameters in the wastewater treatment process, and inputting the wastewater treatment parameters into a dynamic dosing model to obtain updated target drug quantity. The dynamic dosing model is built and trained to cooperate with the real-time monitoring of wastewater treatment, so that the dosage of wastewater dosing treatment can be updated in real time, the optimal treatment effect of wastewater is ensured, and the wastewater treatment effect is greatly improved.
The above is a schematic scheme of an on-line dosing control device for wastewater treatment of this embodiment. It should be noted that, the technical solution of the online dosing control device for wastewater treatment and the technical solution of the online dosing control method for wastewater treatment belong to the same conception, and details of the technical solution of the online dosing control device for wastewater treatment, which are not described in detail, can be referred to the description of the technical solution of the online dosing control method for wastewater treatment.
Fig. 6 illustrates a block diagram of a computing device 600 provided in accordance with one embodiment of the present description. The components of computing device 600 include, but are not limited to, memory 610 and processor 620. The processor 620 is coupled to the memory 610 via a bus 630 and a database 650 is used to hold data.
Computing device 600 also includes access device 640, access device 640 enabling computing device 600 to communicate via one or more networks 660. Examples of such networks include public switched telephone networks (PSTN, public Switched Telephone Network), local area networks (LAN, local Area Network), wide area networks (WAN, wide Area Network), personal area networks (PAN, personal Area Network), or combinations of communication networks such as the internet. The access device 640 may include one or more of any type of network interface, wired or wireless, such as a network interface card (NIC, network interface controller), such as an IEEE802.11 wireless local area network (WLAN, wireless Local Area Network) wireless interface, a worldwide interoperability for microwave access (Wi-MAX, worldwide Interoperability for Microwave Access) interface, an ethernet interface, a universal serial bus (USB, universal Serial Bus) interface, a cellular network interface, a bluetooth interface, near field communication (NFC, near Field Communication).
In one embodiment of the present description, the above-described components of computing device 600, as well as other components not shown in FIG. 6, may also be connected to each other, such as by a bus. It should be understood that the block diagram of the computing device shown in FIG. 6 is for exemplary purposes only and is not intended to limit the scope of the present description. Those skilled in the art may add or replace other components as desired.
Computing device 600 may be any type of stationary or mobile computing device, including a mobile computer or mobile computing device (e.g., tablet, personal digital assistant, laptop, notebook, netbook, etc.), mobile phone (e.g., smart phone), wearable computing device (e.g., smart watch, smart glasses, etc.), or other type of mobile device, or a stationary computing device such as a desktop computer or personal computer (PC, personal Computer). Computing device 600 may also be a mobile or stationary server.
Wherein the processor 620 is configured to execute computer-executable instructions that, when executed by the processor, perform the steps of the data processing method described above. The foregoing is a schematic illustration of a computing device of this embodiment. It should be noted that, the technical solution of the computing device and the technical solution of the above-mentioned online dosing control method for wastewater treatment belong to the same concept, and details of the technical solution of the computing device, which are not described in detail, can be referred to the description of the technical solution of the above-mentioned online dosing control method for wastewater treatment.
An embodiment of the present disclosure also provides a computer-readable storage medium storing computer-executable instructions that, when executed by a processor, implement the steps of the above-described on-line dosing control method for wastewater treatment.
The above is an exemplary version of a computer-readable storage medium of the present embodiment. It should be noted that, the technical solution of the storage medium and the technical solution of the above-mentioned online dosing control method for wastewater treatment belong to the same concept, and details of the technical solution of the storage medium which are not described in detail can be referred to the description of the technical solution of the above-mentioned online dosing control method for wastewater treatment.
An embodiment of the present specification also provides a computer program, wherein the computer program, when executed in a computer, causes the computer to perform the steps of the above-described on-line dosing control method for wastewater treatment.
The above is an exemplary version of a computer program of the present embodiment. It should be noted that, the technical solution of the computer program and the technical solution of the online dosing control method for wastewater treatment belong to the same conception, and details of the technical solution of the computer program, which are not described in detail, can be referred to the description of the technical solution of the online dosing control method for wastewater treatment.
The foregoing describes specific embodiments of the present disclosure. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims can be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.
The computer instructions include computer program code that may be in source code form, object code form, executable file or some intermediate form, etc. The computer readable medium may include: any entity or device capable of carrying the computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer Memory, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), an electrical carrier signal, a telecommunications signal, a software distribution medium, and so forth. It should be noted that the computer readable medium contains content that can be appropriately scaled according to the requirements of jurisdictions in which such content is subject to legislation and patent practice, such as in certain jurisdictions in which such content is subject to legislation and patent practice, the computer readable medium does not include electrical carrier signals and telecommunication signals.
It should be noted that, for simplicity of description, the foregoing method embodiments are all expressed as a series of combinations of actions, but it should be understood by those skilled in the art that the embodiments are not limited by the order of actions described, as some steps may be performed in other order or simultaneously according to the embodiments of the present disclosure. Further, those skilled in the art will appreciate that the embodiments described in the specification are all preferred embodiments, and that the acts and modules referred to are not necessarily all required for the embodiments described in the specification.
In the foregoing embodiments, the descriptions of the embodiments are emphasized, and for parts of one embodiment that are not described in detail, reference may be made to the related descriptions of other embodiments.
The preferred embodiments of the present specification disclosed above are merely used to help clarify the present specification. Alternative embodiments are not intended to be exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the teaching of the embodiments. The embodiments were chosen and described in order to best explain the principles of the embodiments and the practical application, to thereby enable others skilled in the art to best understand and utilize the invention. This specification is to be limited only by the claims and the full scope and equivalents thereof.
Claims (10)
1. An on-line dosing control method for wastewater treatment, comprising the steps of:
acquiring wastewater data and corresponding treatment data, and determining a dynamic dosing model according to the treatment data;
inputting the wastewater data into the dynamic dosing model to obtain a target dosing amount;
controlling a reagent adding device to inject a reagent into the wastewater based on the target reagent amount;
and acquiring wastewater treatment parameters in the wastewater treatment process, and inputting the wastewater treatment parameters into the dynamic dosing model to obtain updated target drug dosage.
2. The method of claim 1, wherein the wastewater data comprises historical wastewater flow, pH, dissolved oxygen, suspended solids, and COD;
correspondingly, after the wastewater data and the corresponding treatment data are acquired, the method further comprises the steps of:
and obtaining the matching medicament quantity when the historical wastewater of the data is treated, and establishing a mapping relation between the wastewater data and the matching medicament quantity according to the matching medicament quantity.
3. The method according to claim 2, characterized by comprising:
and establishing a dynamic dosing model based on the mapping relation, and establishing control connection between the output end of the dynamic dosing model and the medicament adding equipment.
4. The method of claim 1, wherein said inputting the wastewater data into the dynamic dosing model results in a target drug amount, comprising:
sampling wastewater to be treated to obtain a sample, and detecting and analyzing the sample to obtain initial wastewater data;
inputting the initial wastewater data into the dynamic dosing model to obtain target dosing amount.
5. The method of claim 1, wherein controlling the agent adding device to inject the agent into the wastewater based on the target agent amount comprises:
and injecting the medicament into the wastewater according to the target medicament amount output by the dynamic medicament adding model by controlling the medicament adding equipment, uniformly mixing the wastewater and the medicament, and then precipitating and discharging water.
6. The method of claim 1, wherein the obtaining wastewater treatment parameters in a wastewater treatment process comprises:
detecting the treated wastewater in the sedimentation tank in real time by a plurality of data collectors to determine detection data; wherein the plurality of data collectors are distributed at different depths and different flow sections in the sedimentation tank;
and summarizing the detection data to determine the wastewater treatment parameters.
7. The method of claim 6, wherein said inputting the wastewater treatment parameters into the dynamic dosing model to obtain updated target drug amounts comprises:
inputting the wastewater treatment parameters into the dynamic dosing model to obtain the dosing quantity output by the dynamic dosing model;
and correcting the target medicine dosage according to the medicine dosage to obtain updated target medicine dosage.
8. The method of claim 7, wherein said modifying said target dosage according to said dosage amount comprises:
increasing the target drug amount if the drug addition amount is positive;
and reducing the target medicine dosage under the condition that the medicine dosage is negative.
9. An on-line dosing control system for wastewater treatment, adapted to the on-line dosing control method for wastewater treatment according to any one of claims 1 to 8, comprising:
the system comprises a central processing unit, wherein the central processing unit is connected with a data acquisition module, a data backup module and an equipment control module, the data acquisition module is connected with a database and a water quality detection module, and the database is connected with the data backup module.
10. The system of claim 9, wherein the central processor includes a dynamic dosing model unit and a data feedback unit.
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| CN117800425A (en) * | 2024-03-01 | 2024-04-02 | 宜宾科全矿泉水有限公司 | Water purifier control method and system based on artificial intelligence |
| CN117800425B (en) * | 2024-03-01 | 2024-06-07 | 宜宾科全矿泉水有限公司 | Water purifier control method and system based on artificial intelligence |
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