CN102565296A - On-line early warning system and early warning method for quality of raw water of water reclamation plant - Google Patents
On-line early warning system and early warning method for quality of raw water of water reclamation plant Download PDFInfo
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Abstract
The invention discloses an on-line early warning system and an on-line early warning method for the quality of raw water of a water reclamation plant. The system comprises a supervisory control and data acquisition (SCADA) system for water quality indexes of the raw water, a data center and master computers. The method for performing analysis and early warning processing on water quality data of the raw water which run on the master computers comprises the following steps of: storing related data for performing analysis and early warning on the quality of the raw water of the water reclamation plant; and controlling the SCADA system to perform cyclic data acquisition on water quality indexes at a water inlet monitoring point of the raw water of the water reclamation plant, and transmitting monitoring data into a server database and storing for operation and analysis, wherein the operation and analysis comprise the following steps of: predicting the water quality indexes of the raw water of the water reclamation plant and further performing analysis and early warning. The change condition of the quality of raw water of water reclamation plants is subjected to analysis and early warning accurately and quickly, the early warning precision is high, the system and the method are high in practical value, the handling ability and efficiency of the water reclamation plants on the change condition of the quality of the raw water are improved, and related data of production and operation condition of the water reclamation plants are effectively managed.
Description
Technical field
The present invention relates to the resurgent water detection technique in the environmental protection science, relate in particular to monitoring and the safety pre-warning system and the method for early warning of city regeneration water factory raw water quality.
Background technology
Reusing sewage is the important channel that solves the city water resource shortage.Many in recent years urban applications reusing sewage treatment technologies are set up regeneration water factory, have alleviated current city water resource pressure in short supply to a certain extent.Yet; Because the source of regeneration water factory former water and variation of water be the influence of aspect factor such as complicacy comparatively; In regeneration water factory production run process; The difficulty that ensures the resurgent water water quality safety is bigger, lacks effectively regeneration water factory's raw water quality safe early warning method and early warning system, and the example that is successfully applied to the aquatic product of actual reproduction seldom.
Summary of the invention
Difficult problem based on above-mentioned prior art existence; The present invention proposes a kind of regeneration online early warning system of water factory's raw water quality and method for early warning; Utilize remote controlled calculating backup system to combine the Information Monitoring analysis of regeneration water factory raw water quality; Thereby rapidly accurately under resurgent water raw water quality change condition to resurgent water production predict, early warning and adjusting process parameter; And the related data of regeneration water factory production operation situation effectively managed, realize the safe and stable operation of regeneration water factory.
The present invention proposes the online early warning system of a kind of regeneration water factory's raw water quality, this system comprises data acquisition and monitoring system SCADA, data center and the main control computer of raw water quality index, wherein:
Said SCADA system comprises that several are used to gather the remote measurement teletransmission RTU terminal of the water quality data at place, the former water water inlet monitoring point of regeneration water factory, give data center by the collection period timed sending image data of agreement; Image data is sent in the native system via wired or wireless communication system, realizes the information communication of RTU terminal and data center;
Said data center is used to control the SCADA system, and stores the raw water quality data that the SCADA system beams back; Comprise: be used for the monitor procedure value and with the server of process hardware communication, and be used for storing the server database of the water quality online data of monitoring chronologically;
And some said main control computers as the operating platform of this system, are used to store and move analysis, the early warning operation of raw water quality data, and carry out water quality data management and the data manipulation in the database;
The analysis of the raw water quality data of moving on the said main control computer, early warning are handled, and comprise following operation:
The related data of analysis and early warning is carried out in storage to regeneration water factory raw water quality;
Control SCADA system carries out the loop-around data collection to place, the former water water inlet monitoring point of regeneration water factory water-quality guideline, and Monitoring Data is sent in the server database storage go forward side by side line operate and analysis, and the operation here comprises respectively with analyzing:
Regeneration water factory raw water quality index is predicted: read the on-line monitoring water quality data of the former water monitoring point of regeneration water factory of server database, and the substitution neural network model is predicted to the raw water quality index as the input data;
Regeneration water factory raw water quality index is analyzed and early warning: analyze and estimate current raw water quality Monitoring Data, estimate the situation of following water quality simultaneously through the raw water quality index analysis of prediction; Software carries out early warning to the current and following water quality situation, and demonstrates the emergency preplan of corresponding alert according to the early warning situation according to the alert level that has configured, alert limit.
Said related data specifically comprises following data:
The base case and the data of regeneration water factory comprise technological process situation, design and running parameter;
Regeneration water factory raw water quality data comprise the water quality monitoring index of former water water inlet and warning index acidity-basicity ph, chemical oxygen demand COD, total nitrogen TN, ammonia nitrogen NH3-N, total phosphorus TP and the ss suspended solid of raw water quality;
The neural network model of the following raw water quality index of prediction regeneration water factory is set up database based on above-mentioned former water influent quality data, and is utilized this data of database sample training neural network model;
The alert level of each warning index, alert limit data in the water quality early-warning system: according to the raw water quality situation of change alert is carried out classification, and set the span of alerts at different levels, promptly alert limit;
Raw water quality safe early warning emergency preplan.
The present invention also proposes the online method for early warning of a kind of regeneration water factory's raw water quality, and this method may further comprise the steps:
Step 1, the related data and the information of storing, regenerating water factory raw water quality analysis and early warning comprise:
Regeneration water factory raw water quality index is predicted: read the on-line monitoring water quality data of the former water monitoring point of regeneration water factory of server database, and the substitution neural network model is predicted to the raw water quality index as the input data;
Regeneration water factory raw water quality index is analyzed and early warning: analyze and estimate current raw water quality Monitoring Data, estimate the situation of following water quality simultaneously through the raw water quality index analysis of prediction; Software carries out early warning to the current and following water quality situation, and demonstrates the emergency preplan of corresponding alert according to the early warning situation according to the alert level that has configured, alert limit.
Said related data specifically comprises following data:
The base case and the data of regeneration water factory comprise technological process situation, design and running parameter;
Regeneration water factory raw water quality data comprise the water quality monitoring index of former water water inlet and warning index acidity-basicity ph, chemical oxygen demand COD, total nitrogen TN, ammonia nitrogen NH3-N, total phosphorus TP and the ss suspended solid of raw water quality;
The neural network model of the following raw water quality index of prediction regeneration water factory is set up database based on above-mentioned former water influent quality data, and is utilized this data of database sample training neural network model;
The alert level of each warning index, alert limit data in the water quality early-warning system: according to the raw water quality situation of change alert is carried out classification, and set the span of alerts at different levels, promptly alert limit;
Raw water quality safe early warning emergency preplan.
Owing to adopted above technical scheme, the present invention has realized the on-line analysis and the early warning of regeneration water factory raw water quality.At first,, utilize technology such as neural network model, set up the nonlinear relationship model between current raw water quality situation and the following change of water quality, be used for predicting the former water influent quality of regeneration water factory through the raw water quality monitoring.Then, set the alert level of warning index, alert limit, the variation of water of current raw water quality and prediction is carried out analysis and early warning, and provide emergency preplan.This invention has realized the innovation of regeneration water factory raw water quality safe early warning method.
Compared with prior art; The present invention can accurately with promptly analyze and early warning the variation of water of the former water of regeneration water factory; The precision of early warning is higher; Have higher utility, improved processing power and the efficient of regeneration water factory, realized effective management of regeneration water factory production operation situation related data simultaneously the raw water quality situation of change.
Description of drawings
Fig. 1 is the theory structure synoptic diagram of the online early warning system of regeneration water factory's raw water quality of the present invention;
Fig. 2 is the software flow pattern of the online early warning system of regeneration water factory's raw water quality of the present invention;
Among the figure: 1 data acquisition and monitoring system (SCADA system), 2 data centers, 3 main control computers, 4 remote measurement teletransmission terminals (RTU), 5 communication systems, 6 servers, 7 databases.
Embodiment
Below through an embodiment technical scheme of the present invention is described:
In Fig. 1, the online early warning system of regeneration water factory's raw water quality is made up of SCADA system 1, data center 2 and main control computer 3.
Wherein SCADA system 1 mainly comprises several remote measurement teletransmission terminals (RTU) 4 and communication system 5 two parts.Remote measurement teletransmission terminal (RTU) 4 is a kind of far-end measurement and control unit devices, is used to gather the water quality data of regeneration water factory former water water inlet monitoring point, and gives data center by the collection period timed sending (wireless or wired mode) of agreement.Communication system 5 is used for the information communication of RTU and data center, can adopt wired or wireless mode.
System software and application software (regeneration water factory's raw water quality online early warning system software) are housed in the main control computer 3, and data in the operating database at any time, be the operating platform of system.
The process flow diagram of the online early warning system software of regeneration water factory's raw water quality is as shown in Figure 2, and the main flow process of this software comprises the following aspects:
(1) starts computing machine, the online early warning system of operation regeneration water factory's raw water quality.This system mainly comprises following function and information:
1. there are the base case and the data of regeneration water factory in system: comprising the technological process situation of regeneration water factory, and the design parameter of each technological process and relevant structures, and the operational factor of each structures etc.;
2. there is regeneration water factory raw water quality online monitoring data in system: according to the water quality characteristic and the requirement of reused water processing technology effluent quality of regeneration water factory receipts aqua region sewage; The water quality monitoring index of selected former water water inlet is pH, COD, TN, NH3-N, TP and SS, and with the warning index of These parameters as raw water quality;
3. predict the neural network model of raw water quality index: system gathers the data qualification of above-mentioned each raw water quality index and according to the time sequencing storage, sets up the raw water quality database, and set up neural network model; This model utilizes the water quality data in the database to be the sample training neural network model, and 15 days raw water quality Monitoring Data is input to the model that has trained and predicts and promptly obtain the raw water quality index of predicting day same day before will predicting then day;
4. alert level, the police of each warning index limits data in the water quality early-warning system: according to the statistic analysis result of sewage drainage standard, water factory's design parameter and the variation of water-quality guideline value; Regard each warning index as an index that independently characterizes water quality; The alert level of early warning is divided into light police, middle police, heavily alert 3 ranks, and sets the span (alert limit) of each water-quality guideline under the alert level of difference condition;
5. raw water quality early warning emergency preplan: the raw water quality early warning emergency preplan that combines regeneration water factory's process design parameter and operational management personnel's correlation experience formulation.To emergency preplan, specifically, be exactly different stage alert to each warning index, there is corresponding emergency measure in system, forms emergency preplan.For example, to the light police of pH, should monitor the former water pH value through place, monitoring point before and after the regeneration water factory reactor, heavily alert for pH then should be introduced the regulating reservoir storage with former water, gets into reactor again after modified; Light police for COD; Answer the COD of close supervision monitoring point place index, in time grasp the disposition of water quality trend and reactor, heavily alert for COD; Then should former water be introduced regulating reservoir; This moment, regulating reservoir played the effect of anaerobic pond hydrolysis acidification, got into regeneration water factory reactor afterwards again, carried out subsequent treatment.
System obtains the monitoring water quality on line data through database, and it is carried out subsequent analysis and research.
(2) system regularly reads the monitoring water quality on line data of the former water water inlet monitoring point of storing in the server database.
(3) system's water-quality guideline that will read recently and alert level that configures, alert limit data compare analysis, estimate current water quality situation.
(4) system is input to the neural network model that has trained with the monitoring water quality on line data, carries out water quality prediction; The raw water quality index that prediction is obtained compares analysis with alert level, alert limit data, estimates the situation of following water quality.
(5) system judges whether to make the water quality safety early warning according to the evaluation situation of current water quality and following water quality; If no alert then continues conventional water quality monitoring and explained hereafter, system returns (2) automatically, waits for and obtains online monitoring data next time and it is carried out analysis and early warning; If there is alert then to carry out next step early warning operation (6).
(6) system carries out the early warning progressive operation according to the alert level that configures, alert limit data, and alert is divided into light police, middle police and heavily alert, and the report alert.
(7) the early warning alert of each water-quality guideline of system synthesis report, and to the alert explanation that makes an explanation.
(8) system shows the emergency preplan of corresponding alert, instructs regeneration water factory to make emergency response, takes the potential water pollution risk of measures necessary control.
(9) water-quality guideline such as the regeneration water factory raw water inlet monitoring point pH of place, COD, TN, NH3-N, TP and SS can be gathered by the SCADA system; The SCADA system that is connected with native system carries out circle collection to water-quality guideline, promptly automatically data acquisition is carried out in the monitoring point at interval according to the fixed time.
(10) Monitoring Data of SCADA system is sent in the server database at any time; Database storing real time data and historical data; Can show history and trend data through graph mode, and control center can be at any time to the data in the database check, revise, add, operation such as deletion.
(11) judge according to user's request whether system proceeds.
Claims (4)
1. regeneration water factory's raw water quality online early warning system, this system comprises data acquisition and monitoring system SCADA, data center and the main control computer of raw water quality index, wherein:
Said SCADA system comprises that several are used to gather the remote measurement teletransmission RTU terminal of the water quality data at place, the former water water inlet monitoring point of regeneration water factory, give data center by the collection period timed sending image data of agreement; Image data is sent in the native system via wired or wireless communication system, realizes the information communication of RTU terminal and data center;
Said data center is used to control the SCADA system, and stores the raw water quality data that the SCADA system beams back; Comprise: be used for the monitor procedure value and with the server of process hardware communication, and be used for storing the server database of the water quality online data of monitoring chronologically;
And some said main control computers as the operating platform of this system, are used to store and move analysis, the early warning operation of raw water quality data, and carry out water quality data management and the data manipulation in the database;
The analysis of the raw water quality data of moving on the said main control computer, early warning are handled, and comprise following operation:
Storage is carried out the related data of analysis and early warning to regeneration water factory raw water quality,
Control SCADA system carries out the loop-around data collection to place, the former water water inlet monitoring point of regeneration water factory water-quality guideline, and Monitoring Data is sent in the server database storage go forward side by side line operate and analysis, and the operation here comprises respectively with analyzing;
Regeneration water factory raw water quality index is predicted: read the on-line monitoring water quality data of the former water monitoring point of regeneration water factory of server database, and the substitution neural network model is predicted to the raw water quality index as the input data;
Regeneration water factory raw water quality index is analyzed and early warning: analyze and estimate current raw water quality Monitoring Data, estimate the situation of following water quality simultaneously through the raw water quality index analysis of prediction; Software carries out early warning to the current and following water quality situation, and demonstrates the emergency preplan of corresponding alert according to the early warning situation according to the alert level that has configured, alert limit.
2. the online early warning system of regeneration water factory's raw water quality as claimed in claim 1 is characterized in that said related data specifically comprises following data:
The base case and the data of regeneration water factory comprise technological process situation, design and running parameter;
Regeneration water factory raw water quality data comprise the water quality monitoring index of former water water inlet and warning index acidity-basicity ph, chemical oxygen demand COD, total nitrogen TN, ammonia nitrogen NH3-N, total phosphorus TP and the ss suspended solid of raw water quality;
The neural network model of the following raw water quality index of prediction regeneration water factory is set up database based on above-mentioned former water influent quality data, and is utilized this data of database sample training neural network model;
The alert level of each warning index, alert limit data in the water quality early-warning system: according to the raw water quality situation of change alert is carried out classification, and set the span of alerts at different levels, promptly alert limit;
Raw water quality safe early warning emergency preplan.
3. regeneration water factory's raw water quality online method for early warning is characterized in that this method may further comprise the steps:
Step 1, the related data and the information of storing, regenerating water factory raw water quality analysis and early warning comprise:
Step 2, control SCADA system carries out the loop-around data collection to place, the former water water inlet monitoring point of regeneration water factory water-quality guideline, and Monitoring Data is sent in the server database storage go forward side by side line operate and analysis, and the operation here comprises respectively with analyzing;
Regeneration water factory raw water quality index is predicted: read the on-line monitoring water quality data of the former water monitoring point of regeneration water factory of server database, and the substitution neural network model is predicted to the raw water quality index as the input data;
Regeneration water factory raw water quality index is analyzed and early warning: analyze and estimate current raw water quality Monitoring Data, estimate the situation of following water quality simultaneously through the raw water quality index analysis of prediction; Software carries out early warning to the current and following water quality situation, and demonstrates the emergency preplan of corresponding alert according to the early warning situation according to the alert level that has configured, alert limit.
4. the online method for early warning of regeneration water factory's raw water quality as claimed in claim 1 is characterized in that said related data specifically comprises following data:
The base case and the data of regeneration water factory comprise technological process situation, design and running parameter;
Regeneration water factory raw water quality data comprise the water quality monitoring index of former water water inlet and warning index acidity-basicity ph, chemical oxygen demand COD, total nitrogen TN, ammonia nitrogen NH3-N, total phosphorus TP and the ss suspended solid of raw water quality;
The neural network model of the following raw water quality index of prediction regeneration water factory is set up database based on above-mentioned former water influent quality data, and is utilized this data of database sample training neural network model;
The alert level of each warning index, alert limit data in the water quality early-warning system: according to the raw water quality situation of change alert is carried out classification, and set the span of alerts at different levels, promptly alert limit;
Raw water quality safe early warning emergency preplan.
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| CN102807301A (en) * | 2012-07-31 | 2012-12-05 | 天津大学 | Outlet water quality online monitoring and real-time forecasting system of water reclamation plant and control method thereof |
| CN103018416A (en) * | 2012-12-05 | 2013-04-03 | 天津大学 | Water quality on-line monitoring and prediction method for water supply pipe network |
| CN103018418A (en) * | 2012-12-16 | 2013-04-03 | 天津大学 | Landscape water quality online early warning system |
| CN103235099A (en) * | 2013-05-12 | 2013-08-07 | 南京大学 | System and method of environmental management data transmission, early warning and stored query |
| CN104460577A (en) * | 2014-07-24 | 2015-03-25 | 上海市城市排水有限公司 | Water quality safety early warning decision making system |
| CN105277669A (en) * | 2015-11-14 | 2016-01-27 | 常州大学 | Water quality monitoring and early warning system for micropollution raw water |
| CN106249676A (en) * | 2016-08-05 | 2016-12-21 | 浙江美纳环保科技有限公司 | A kind of water pollution control facility monitoring system based on the Internet and method thereof |
| CN106442924A (en) * | 2016-12-21 | 2017-02-22 | 陈耿 | Drinking water quality monitoring, early-warning and servicing system and early-warning and servicing method thereof |
| CN108152468A (en) * | 2018-01-26 | 2018-06-12 | 中冶华天工程技术有限公司 | A kind of water quality health evaluating method and apparatus based on big data |
| CN108960534A (en) * | 2018-08-13 | 2018-12-07 | 重庆工商大学 | A method of food wastewater influent quality is predicted based on convolution extreme learning machine |
| CN109725119A (en) * | 2018-12-13 | 2019-05-07 | 南方科技大学 | Water quality information processing method, system, storage medium and computer equipment |
| CN111333131A (en) * | 2020-03-11 | 2020-06-26 | 信开水环境投资有限公司 | Equipment predictive maintenance system and method for underground type regeneration water plant |
| CN111832909A (en) * | 2020-06-23 | 2020-10-27 | 重庆华悦生态环境工程研究院有限公司 | Emergency response system and method for illegal sewage discharge |
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| CN102807301A (en) * | 2012-07-31 | 2012-12-05 | 天津大学 | Outlet water quality online monitoring and real-time forecasting system of water reclamation plant and control method thereof |
| CN103018416A (en) * | 2012-12-05 | 2013-04-03 | 天津大学 | Water quality on-line monitoring and prediction method for water supply pipe network |
| CN103018416B (en) * | 2012-12-05 | 2015-04-22 | 天津大学 | Water quality on-line monitoring and prediction method for water supply pipe network |
| CN103018418A (en) * | 2012-12-16 | 2013-04-03 | 天津大学 | Landscape water quality online early warning system |
| CN103235099A (en) * | 2013-05-12 | 2013-08-07 | 南京大学 | System and method of environmental management data transmission, early warning and stored query |
| CN103235099B (en) * | 2013-05-12 | 2015-08-26 | 南京大学 | The system of the transmission of a kind of environmental management data, early warning and storing queries and method thereof |
| CN104460577A (en) * | 2014-07-24 | 2015-03-25 | 上海市城市排水有限公司 | Water quality safety early warning decision making system |
| CN105277669A (en) * | 2015-11-14 | 2016-01-27 | 常州大学 | Water quality monitoring and early warning system for micropollution raw water |
| CN106249676A (en) * | 2016-08-05 | 2016-12-21 | 浙江美纳环保科技有限公司 | A kind of water pollution control facility monitoring system based on the Internet and method thereof |
| CN106442924A (en) * | 2016-12-21 | 2017-02-22 | 陈耿 | Drinking water quality monitoring, early-warning and servicing system and early-warning and servicing method thereof |
| CN108152468A (en) * | 2018-01-26 | 2018-06-12 | 中冶华天工程技术有限公司 | A kind of water quality health evaluating method and apparatus based on big data |
| CN108960534A (en) * | 2018-08-13 | 2018-12-07 | 重庆工商大学 | A method of food wastewater influent quality is predicted based on convolution extreme learning machine |
| CN109725119A (en) * | 2018-12-13 | 2019-05-07 | 南方科技大学 | Water quality information processing method, system, storage medium and computer equipment |
| CN111333131A (en) * | 2020-03-11 | 2020-06-26 | 信开水环境投资有限公司 | Equipment predictive maintenance system and method for underground type regeneration water plant |
| CN111333131B (en) * | 2020-03-11 | 2022-02-18 | 国投信开水环境投资有限公司 | Equipment predictive maintenance system and method for underground type regeneration water plant |
| CN111832909A (en) * | 2020-06-23 | 2020-10-27 | 重庆华悦生态环境工程研究院有限公司 | Emergency response system and method for illegal sewage discharge |
| CN111832909B (en) * | 2020-06-23 | 2022-04-08 | 重庆华悦生态环境工程研究院有限公司 | Emergency response system and method for illegal sewage discharge |
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Application publication date: 20120711 |