CN111470597A - Intelligent coagulation dosing system and method based on big data - Google Patents
Intelligent coagulation dosing system and method based on big data Download PDFInfo
- Publication number
- CN111470597A CN111470597A CN202010239121.7A CN202010239121A CN111470597A CN 111470597 A CN111470597 A CN 111470597A CN 202010239121 A CN202010239121 A CN 202010239121A CN 111470597 A CN111470597 A CN 111470597A
- Authority
- CN
- China
- Prior art keywords
- data
- control system
- intelligent
- big data
- meter
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
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
-
- 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
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
-
- C—CHEMISTRY; METALLURGY
- C02—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F2209/00—Controlling or monitoring parameters in water treatment
- C02F2209/02—Temperature
-
- C—CHEMISTRY; METALLURGY
- C02—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F2209/00—Controlling or monitoring parameters in water treatment
- C02F2209/06—Controlling or monitoring parameters in water treatment pH
-
- C—CHEMISTRY; METALLURGY
- C02—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F2209/00—Controlling or monitoring parameters in water treatment
- C02F2209/11—Turbidity
-
- C—CHEMISTRY; METALLURGY
- C02—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F2209/00—Controlling or monitoring parameters in water treatment
- C02F2209/40—Liquid flow rate
Abstract
The invention provides an intelligent coagulation dosing system based on big data, which comprises an on-site instrument, an on-site control system and a data center, wherein the on-site control system comprises a data gateway and an SCADA monitoring system, the on-site control system transmits a strategy function to the SCADA monitoring system through the data gateway, the SCADA monitoring system transmits data parameters to the data gateway, the on-site control system is connected with the data center to transmit data, and the on-site control system is connected with the on-site instrument to transmit data. The invention solves the problems of serious mismatch of coagulation dosing, larger system control error and poor anti-interference capability in the prior art.
Description
Technical Field
The invention relates to the technical field of management and control systems, in particular to an intelligent coagulation dosing system and method based on big data.
Background
At present, the automatic control system for coagulation dosing of domestic water plants generally adopts two modes of single-factor closed-loop control or feedforward control. The feedforward control mainly depends on a mathematical model between raw water parameters and dosage, and the coagulation is a complex physical and chemical reaction process and has the characteristics of long time lag and large inertia. The single-factor closed-loop control can quickly reflect the change of the effluent turbidity based on the indirect reflection of instruments such as a flow current instrument on the effluent turbidity, but the instruments have poor interference resistance to cross factors of various water quality parameters, high requirements on water quality and process conditions, troublesome adjustment and difficult maintenance.
Disclosure of Invention
The invention provides an intelligent coagulation dosing system and method based on big data, and aims to solve the problems of serious mismatch of coagulation dosing, larger system control error and poor anti-interference capability in the prior art.
In order to solve the technical problems, the invention provides an intelligent coagulation dosing system based on big data, which comprises a field instrument, a field control system and a data center, the site control system comprises a data gateway and a SCADA monitoring system, the site control system transmits the strategy function to the SCADA monitoring system through the data gateway, the SCADA monitoring system transmits the data parameters to the data gateway, the local control system is connected with the data center to transmit data, the in-situ control system is connected with the on-site instrument for data transmission, the data center comprises a water affair Internet of things platform, a database, an intelligent dosing management system and a big data analysis platform, the water affair Internet of things platform is connected with the database and transmits data, the intelligent dosing management system is connected with the database and transmits data, and the big data analysis platform is connected with the database and transmits data.
And the water affair Internet of things platform and the data gateway of the data center transmit data through the enterprise network.
The data gateway also comprises a firewall, and the firewall is used for protecting the stability and the safety of data transmission of the data gateway.
The field instrument comprises a water inlet flow meter, a water inlet turbidity meter, a water inlet temperature meter, a water inlet PH meter and a settled turbidity meter, and the water inlet flow meter, the water inlet turbidity meter, the water inlet temperature meter, the water inlet PH meter, the settled turbidity meter and the data gateway transmit data.
The method of the intelligent coagulation medicine feeding system based on the big data comprises the following steps:
(1) determining model influence factors: determining main factors influencing coagulation dosing through analyzing the model;
(2) and (3) field instrument installation and checking: the method comprises the following steps of (1) installing and checking online instruments for measuring inflow water flow, inflow turbidity, inflow PH, inflow temperature, settled water turbidity and the like;
(3) data acquisition: the on-site control system collects parameters of each instrument, calculates and converts the parameters, uploads data to a water affair Internet of things platform through an SCADA monitoring system and a data gateway and stores the data;
(4) big data analysis: the big data analysis platform performs nonlinear modeling analysis, and stores and displays the analysis result;
(5) intelligent control: the big data analysis platform issues the result to a local control system through the water affair Internet of things platform to control the dosing amount and realize intelligent control on dosing equipment;
(6) and (3) system development: corresponding interfaces are developed in the SCADA monitoring system and the intelligent dosing management system for displaying, and human-computer interaction is realized.
The invention has the following beneficial effects: compared with the prior art, (1) the intelligent coagulation dosing system and the intelligent coagulation dosing method based on the big data collect data through the field instrument, calculate and convert various water quality parameters, and the data center performs nonlinear modeling, nonlinear prediction and big data analysis on the water quality parameters, thereby reducing the influence of cross factors existing in the various water quality parameters on the system, enhancing the anti-interference capability, reducing the influence of system time lag, eliminating the influence of raw water quality disturbance and model mismatch on the control system, and improving the dosing control precision and the robustness of the system.
(2) The optimal dosing can improve the water quality guarantee rate, prevent the coagulant from being added too much or too little, reduce the cost of the coagulant and save labor.
(3) The intelligent coagulation medicine feeding system based on big data has strong self-adaption and self-learning capabilities, and the purpose of intelligent medicine feeding is achieved.
Drawings
FIG. 1 is a block diagram of a big data based intelligent coagulation administration system according to an embodiment of the present invention
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be described in further detail below with reference to the accompanying drawings and specific embodiments.
As shown in fig. 1, the intelligent coagulation drug administration system based on big data provided by the invention comprises an on-site instrument, an on-site control system and a data center, wherein the on-site control system comprises a data gateway and an SCADA monitoring system, the on-site control system transmits a policy function to the SCADA monitoring system through the data gateway, the SCADA monitoring system transmits data parameters to the data gateway, the on-site control system is connected with the data center for data transmission, the on-site control system is connected with the on-site instrument for data transmission, the data center comprises a water affair internet of things platform, a database, an intelligent drug administration system and a big data analysis platform, the water affair internet of things platform is connected with the database for data transmission, the intelligent drug administration system is connected with the database for data transmission, and the big data analysis platform is connected with the database for data transmission.
Further, the water affair internet of things platform and the data gateway of the data center transmit data through the enterprise network.
Further, the data gateway further comprises a firewall, and the firewall is used for protecting the stability and the safety of data transmission of the data gateway.
Further, the field instrument comprises a water inlet flow meter, a water inlet turbidity meter, a water inlet temperature meter, a water inlet PH meter and a settled turbidity meter, and the water inlet flow meter, the water inlet turbidity meter, the water inlet temperature meter, the water inlet PH meter, the settled turbidity meter and the data gateway transmit data.
A method of a big data based intelligent coagulation medication administration system, comprising:
(1) determining model influence factors: determining main factors influencing coagulation dosing through analyzing the model;
(2) and (3) field instrument installation and checking: the method comprises the following steps of (1) installing and checking online instruments for measuring inflow water flow, inflow turbidity, inflow PH, inflow temperature, settled water turbidity and the like;
(3) data acquisition: the on-site control system collects parameters of each instrument, calculates and converts the parameters, uploads data to a water affair Internet of things platform through an SCADA monitoring system and a data gateway and stores the data;
(4) big data analysis: the big data analysis platform performs nonlinear modeling analysis, and stores and displays the analysis result;
(5) intelligent control: the big data analysis platform issues the result to a local control system through the water affair Internet of things platform to control the dosing amount and realize intelligent control on dosing equipment;
(6) and (3) system development: corresponding interfaces are developed in the SCADA monitoring system and the intelligent dosing management system for displaying, and human-computer interaction is realized.
In summary, the intelligent coagulation dosing system and method based on big data of the invention collect data through the field instrument, calculate and convert various water quality parameters, and the data center performs nonlinear modeling, nonlinear prediction and big data analysis on the water quality parameters, thereby reducing the influence of cross factors existing in various water quality parameters on the system, enhancing the anti-interference capability, reducing the influence of time lag of the system, eliminating the influence of raw water quality disturbance and model mismatch on the control system, and improving the dosing control precision and the robustness of the system. The optimal dosing can improve the water quality guarantee rate, prevent the coagulant from being added too much or too little, reduce the cost of the coagulant and save labor. The intelligent coagulation medicine feeding system based on big data has strong self-adaption and self-learning capabilities, and the purpose of intelligent medicine feeding is achieved.
The above description is only an example of the present invention, and is not intended to limit the present invention, and it is obvious to those skilled in the art that various modifications and variations can be made in the present invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the scope of the claims of the present invention.
Claims (5)
1. The utility model provides an intelligence thoughtlessly congeals dispensing system based on big data which characterized in that: including site instrument, site control system, data center, site control system includes data gateway, SCADA monitored control system, site control system passes through data gateway and gives the SCADA monitored control system with the tactics function transmission, the SCADA monitored control system gives data gateway with data parameter transmission, site control system and data center are connected transmission data, site control system and site instrument are connected transmission data, data center includes water affair thing networking platform, database, intelligence and adds medicine management system, big data analysis platform, water affair thing networking platform and database are connected transmission data, intelligence adds medicine management system and database and is connected transmission data, big data analysis platform is connected transmission data with the database.
2. The intelligent big data-based coagulation medication administration system according to claim 1, wherein the water affairs internet of things platform and the data gateway of the data center transmit data through an enterprise network.
3. The intelligent big data-based coagulation administration system according to claim 1, wherein the data gateway further comprises a firewall, and the firewall is used for protecting the stability and safety of data transmission of the data gateway.
4. The intelligent big data-based coagulant dosing system of claim 1 wherein the field instruments comprise a water inlet flow meter, a water inlet turbidity meter, a water inlet temperature meter, a water inlet PH meter, and a post-settlement turbidity meter, wherein the water inlet flow meter, the water inlet turbidity meter, the water inlet temperature meter, the water inlet PH meter, the post-settlement turbidity meter, and the data gateway transmit data.
5. A method of an intelligent coagulation medication dosing system based on big data is characterized by comprising the following steps:
(1) determining model influence factors: determining main factors influencing coagulation dosing through analyzing the model;
(2) and (3) field instrument installation and checking: the method comprises the following steps of (1) installing and checking online instruments for measuring inflow water flow, inflow turbidity, inflow PH, inflow temperature, settled water turbidity and the like;
(3) data acquisition: the on-site control system collects parameters of each instrument, calculates and converts the parameters, uploads data to a water affair Internet of things platform through an SCADA monitoring system and a data gateway and stores the data;
(4) big data analysis: the big data analysis platform performs nonlinear modeling analysis, and stores and displays the analysis result;
(5) intelligent control: the big data analysis platform issues the result to a local control system through the water affair Internet of things platform to control the dosing amount and realize intelligent control on dosing equipment;
(6) and (3) system development: corresponding interfaces are developed in the SCADA monitoring system and the intelligent dosing management system for displaying, and human-computer interaction is realized.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010239121.7A CN111470597A (en) | 2020-03-30 | 2020-03-30 | Intelligent coagulation dosing system and method based on big data |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010239121.7A CN111470597A (en) | 2020-03-30 | 2020-03-30 | Intelligent coagulation dosing system and method based on big data |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111470597A true CN111470597A (en) | 2020-07-31 |
Family
ID=71749444
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010239121.7A Pending CN111470597A (en) | 2020-03-30 | 2020-03-30 | Intelligent coagulation dosing system and method based on big data |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111470597A (en) |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102531121A (en) * | 2012-02-28 | 2012-07-04 | 天津大学 | Optimum input forecast system of water treatment coagulant and forecast method |
| CN104965481A (en) * | 2015-07-13 | 2015-10-07 | 天津华清健坤膜科技有限公司 | Water treatment monitoring platform based on cloud computing |
| CN105800755A (en) * | 2016-05-12 | 2016-07-27 | 上海应用技术学院 | Water quality online monitoring system and method of wastewater coagulation treatment unit |
| CN206440945U (en) * | 2016-07-12 | 2017-08-25 | 武汉长江仪器自动化研究所有限公司 | A kind of coagulant dosage control system based on artificial neural network algorithm |
| CN107765657A (en) * | 2017-09-08 | 2018-03-06 | 深圳市智物联网络有限公司 | A kind of water utilities intelligent control method and system based on Internet of Things |
| CN108255056A (en) * | 2017-12-29 | 2018-07-06 | 武汉长江仪器自动化研究所有限公司 | Water factory's intelligent dosing control system and its control method |
| CN108958194A (en) * | 2018-07-19 | 2018-12-07 | 广州喜马拉雅环保科技有限公司 | A kind of long-range medicine system of boiler based on data cloud and method |
| CN109032061A (en) * | 2018-08-13 | 2018-12-18 | 武汉科迪智能环境股份有限公司 | A kind of dosing intelligence control system for water process |
| CN110824923A (en) * | 2019-11-25 | 2020-02-21 | 浙江嘉科电子有限公司 | Sewage treatment control method and system based on deep learning and cloud computing |
-
2020
- 2020-03-30 CN CN202010239121.7A patent/CN111470597A/en active Pending
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102531121A (en) * | 2012-02-28 | 2012-07-04 | 天津大学 | Optimum input forecast system of water treatment coagulant and forecast method |
| CN104965481A (en) * | 2015-07-13 | 2015-10-07 | 天津华清健坤膜科技有限公司 | Water treatment monitoring platform based on cloud computing |
| CN105800755A (en) * | 2016-05-12 | 2016-07-27 | 上海应用技术学院 | Water quality online monitoring system and method of wastewater coagulation treatment unit |
| CN206440945U (en) * | 2016-07-12 | 2017-08-25 | 武汉长江仪器自动化研究所有限公司 | A kind of coagulant dosage control system based on artificial neural network algorithm |
| CN107765657A (en) * | 2017-09-08 | 2018-03-06 | 深圳市智物联网络有限公司 | A kind of water utilities intelligent control method and system based on Internet of Things |
| CN108255056A (en) * | 2017-12-29 | 2018-07-06 | 武汉长江仪器自动化研究所有限公司 | Water factory's intelligent dosing control system and its control method |
| CN108958194A (en) * | 2018-07-19 | 2018-12-07 | 广州喜马拉雅环保科技有限公司 | A kind of long-range medicine system of boiler based on data cloud and method |
| CN109032061A (en) * | 2018-08-13 | 2018-12-18 | 武汉科迪智能环境股份有限公司 | A kind of dosing intelligence control system for water process |
| CN110824923A (en) * | 2019-11-25 | 2020-02-21 | 浙江嘉科电子有限公司 | Sewage treatment control method and system based on deep learning and cloud computing |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN113683169A (en) | Intelligent coagulation chemical dosing method and device for water treatment plant | |
| CN204945747U (en) | A kind of Full-automatic water quality control treatment system of industrial circulating cooling water | |
| CN112093828B (en) | Distributed sewage treatment intelligent platform based on cloud computing | |
| CN109521813B (en) | System and method for stably controlling concentration ratio of circulating water of thermal power plant | |
| AU2020104126A4 (en) | Waste Water Management System for Smart Cities through IoT based Technology | |
| CN107176628B (en) | Dispatching control system and method for sewage system | |
| CN103186134A (en) | Circulating water intelligent monitoring system based on Internet of things | |
| CN105527915A (en) | Thermal power plant real-time water affair monitoring system and monitoring method | |
| CN111320246A (en) | Coagulant intelligent accurate adding control system based on multivariable control | |
| CN201251708Y (en) | An online diagnosis and management system of HART instrument | |
| CN110206676A (en) | The hydraulic turbine remotely monitors, diagnosis prediction and intelligent maintenance regulator control system | |
| CN205119223U (en) | Distant heating data monitoring system based on GPRS | |
| CN105988378A (en) | Circulating cooling water control system and drug adding control device and drug adding control method thereof | |
| CN104019854A (en) | Monitoring and pre-warning device for enterprise water-related affairs | |
| CN208588936U (en) | A kind of monitoring system in waste water processing | |
| CN115936923A (en) | Intelligent water affair management information system | |
| CN111708339A (en) | Artificial intelligence control system and method for sewage plant and application of artificial intelligence control system | |
| CN111470597A (en) | Intelligent coagulation dosing system and method based on big data | |
| CN202033673U (en) | Automatic PH (potential hydrogen) value adjusting system for fermentation tank | |
| CN108614544A (en) | A kind of industrial boiler system abnormal signal value monitoring method and its system | |
| CN113240542A (en) | Visual system of sewage pipe network | |
| CN101301538A (en) | Fuzzy intelligent control system for casting water processing medicament | |
| CN102566549A (en) | Oil distributing control system | |
| CN112414519A (en) | Anti-cheating monitoring system of trade handover flow metering instrument and application thereof | |
| CN217034574U (en) | Municipal sewage monitoring management and control platform |
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 | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20200731 |
|
| RJ01 | Rejection of invention patent application after publication |