CN113401954A - Prediction method and device for industrial circulating cooling water - Google Patents
Prediction method and device for industrial circulating cooling water Download PDFInfo
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Abstract
The application discloses a prediction method and a prediction device for industrial circulating cooling water. The prediction method comprises the following steps: screening and determining a plurality of core parameters capable of representing the quality of the industrial circulating cooling water from the parameters of the industrial circulating cooling water; establishing a water quality change pre-judgment model and/or a water quality early warning model by taking the core parameters as independent variables; monitoring and acquiring a core parameter data table of industrial circulating cooling water in real time by using an online instrument; acquiring a core parameter data table of industrial circulating cooling water through laboratory test water quality; and pre-judging or pre-warning the water quality of the industrial circulating cooling water according to the water quality change pre-judging model and/or the water quality pre-warning model and the core parameter data table. The prediction method is applied to an industrial circulating cooling water system, so that the treatment efficiency of the circulating cooling water is improved, the stability of water quality is ensured, and the waste of water resources is avoided.
Description
Technical Field
The application belongs to the technical field of industrial circulating cooling water treatment, and particularly relates to a prediction method and a prediction device for industrial circulating cooling water.
Background
The main problems in the operation of the industrial circulating cooling water system are as follows: (1) scaling of the system (2), corrosion of the system (3) and microorganism slime. The method for solving the problems is mainly to add a corrosion inhibitor, a scale inhibitor and a sterilization algicide into a circulating water system. In practice, the administration of a drug alone is far from sufficient. In a common saying that the third is by medicament and the seventh is by management, the industrial circulating water system needs better treatment process and treatment equipment to ensure the safe and stable operation of the industrial circulating water system.
At present, most of the collection, recording and management of the water quality data of the industrial circulating cooling water system are manually operated, and due to the fact that management projects are numerous and complicated, errors are difficult to avoid, working efficiency is not high, and meanwhile, the situations that monitoring and metering equipment instruments are lack exist. Therefore, how to detect the industrial circulating cooling water and obtain an accurate water quality index through data operation so as to adopt accurate measures to control and execute chemical dosing, water replenishing and draining and the like of the industrial circulating cooling water system is a problem which needs to be solved urgently at present.
Disclosure of Invention
In view of the above, the present application discloses a method and apparatus for predicting industrial circulating cooling water to overcome or at least partially solve the above problems.
In order to achieve the purpose, the following technical scheme is adopted in the application:
one aspect of the present application provides a prediction method for industrial circulating cooling water, including the following steps:
step 1, screening and determining a plurality of core parameters capable of representing the quality of industrial circulating cooling water from the parameters of the industrial circulating cooling water;
step 2, establishing a water quality change pre-judging model and/or a water quality early warning model by taking the core parameters as independent variables;
step 3, monitoring and acquiring a core parameter data table of the industrial circulating cooling water in real time by using an online instrument; and/or acquiring a core parameter data table of the industrial circulating cooling water through laboratory test water quality;
and 4, prejudging or prewarning the water quality of the industrial circulating cooling water according to the water quality change prejudging model and/or the water quality prewarning model and the core parameter data table.
Optionally, the core parameter includes any one or several of the following: the limiting carbonate hardness, salt content, concentration rate or the number of total bacteria.
Optionally, step 2 includes: selecting a water quality judgment index as a water quality change pre-judgment model, wherein the water quality judgment index comprises any one of the following indexes: a water quality judgment index based on calcium carbonate dissolution balance or a water quality judgment index based on multi-parameter analysis; selecting a quadratic exponential averaging method or a quadratic exponential smoothing method to carry out water quality early warning;
the step 3 further comprises: and (4) carrying out water quality parameter verification on the obtained core parameter data table, and judging whether the water quality monitoring data is correct or not through pH value verification, hardness verification or scaling ion verification.
Optionally, after the step 4, the prediction method further includes:
step 5, according to the water quality prejudgment or early warning condition, performing water supplementing or draining treatment on the industrial circulating cooling water; and/or, adding at least one of the following: corrosion inhibitors, dispersants or bactericides.
Optionally, the manner of adding the medicament in step 5 includes any one of the following: automatically adding medicine according to the detection result of the instrument, proportionally adding according to the water supplement amount or the sewage discharge amount, adding according to a preset time schedule, and adding according to the index determined by calculation or manually adding.
Optionally, the step 5 specifically includes:
respectively adjusting the adding concentration of the corrosion inhibitor and the bactericide according to the total phosphorus, ORP and conductivity parameters of the water quality, and adjusting the water replenishing quantity and the water discharging quantity in a feedback manner through the concentration multiple calculated by the conductivity;
adjusting the dosage of the corrosion inhibitor and the dispersant according to the water quality stability parameter which directly reflects the corrosion and scaling tendency;
and adjusting the prediction method by combining water quality pre-judgment or early warning conditions through water quality, water quantity, concentration times, medicament types and dosage parameters.
The other aspect of the application also provides a processing device adopting the prediction method, the processing device comprises a monitoring instrument, a heat exchanger, a cooling water tower and a water collecting tank which are connected in series, a water replenishing pipe and a sewage draining pipe are arranged on the water collecting tank, a medicament adding device is connected to the series connection pipeline, and the medicament adding device is controlled by a control system.
Optionally, the control system is a two-stage control system consisting of an industrial personal computer and a PLC (programmable logic controller), and data communication is realized between the industrial personal computer and the PLC through an MPI (message passing interface) communication card arranged on the industrial personal computer.
Optionally, the medicament adding device comprises a corrosion inhibitor adding unit, a dispersant adding unit and a bactericide adding unit; the industrial personal computer is also provided with a watchdog timer and an exception handling module.
Optionally, the parameters that the monitoring instrument can monitor further include: the pH value, the circulating water conductivity, the supplemented water conductivity, the oxidation-reduction potential, the water supplementing quantity, the sewage discharge quantity, the circulating water flow quantity, the water collecting tank liquid level, the inlet temperature and the outlet temperature of the industrial circulating cooling water.
The application has the advantages that:
according to the scheme, through the intelligent and automatic treatment process and equipment of the circulating cooling water, the full processes of monitoring, water quality prediction, early warning, determination and execution of the treatment scheme and the like of an industrial circulating cooling water system are realized, the treatment efficiency of the circulating cooling water is improved, the stability of the water quality is ensured, and the waste of water resources is avoided. The method specifically comprises the following steps:
monitoring the constantly changing system state, and realizing automatic continuous optimized dosing according to the set program control;
secondly, the intelligent equipment is used for directly and accurately feeding water from the medicament storage tank to treat the medicament, so that manual operation is avoided, and the health and safety protection of staff are enhanced;
manual control of dosing equipment and the like can be realized by operating on a touch screen in a monitoring room;
fourthly, the condition of excessive feeding or insufficient feeding is prevented, the operation condition of the factory is improved, and the cost is reduced to the maximum extent;
providing a highly flexible, reliable and extensible system to meet the treatment requirements of various water treatment and process procedures;
and the system is easy to use, has comprehensive information management and reporting capability, and can be adjusted according to the requirements of water treatment and technological process treatment.
Drawings
Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the application. Also, like reference numerals are used to refer to like parts throughout the drawings. In the drawings:
FIG. 1 is a schematic flow chart of a method for forecasting industrial circulating cooling water in one embodiment of the present application;
fig. 2 is a schematic structural diagram of a treatment device for industrial circulating cooling water according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more clear, the following description of the present application will be made in detail and completely with reference to the embodiments of the present application and the accompanying drawings. It should be apparent that the described embodiments are only some of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
It is to be understood that the terms "comprises/comprising," "consisting of … …," or any other variation, are intended to cover a non-exclusive inclusion, such that a product, device, process, or method that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such product, device, process, or method if desired. Without further limitation, an element defined by the phrases "comprising/including … …," "consisting of … …," or "comprising" does not exclude the presence of other like elements in a product, device, process, or method that comprises the element.
In this application, unless expressly stated or limited otherwise, the terms "mounted," "connected," "secured," and the like are to be construed broadly and can include, for example, fixed connections, removable connections, or integral parts; can be mechanically or electrically connected; either directly or indirectly through intervening media, either internally or in any other relationship. The specific meaning of the above terms in the present application can be understood by those of ordinary skill in the art as appropriate.
The technical solutions provided by the embodiments of the present application are described in detail below with reference to the accompanying drawings.
Example 1
Referring to fig. 1, a method for predicting industrial circulating cooling water includes the following steps:
and step S1, screening and determining a plurality of core parameters capable of representing the quality of the industrial circulating cooling water from the parameters of the industrial circulating cooling water.
Circulating water treatment monitoring parameters are divided into several categories: 1) associated with scaling tendencies such as salt content, alkalinity, calcium ion concentration, total hardness, concentration rate, pH, and soluble silica; 2) in relation to the concentration of corrosive anions and their corrosion tendency, such as conductivity, chloride, iron, sulfate, pH, concentration rate, etc.; 3) those associated with microbial survival development and microbial corrosion effects such as COD, residual chlorine, sulfides, ammonia nitrogen, total bacteria count, suspended matter, turbidity; 4) water treatment agent-related, such as water stabilizer-related organic phosphorus, corrosion inhibitor-related azole content, residual chlorine related to chlorine-containing oxidant, and the like. Through a large number of experiments, the core parameters for detecting and controlling the circulating water treatment are determined in an important way, and the core control parameters of the circulating water are defined as follows: the parameters which are most directly, concisely and substantially related to three control tasks of circulating water. According to the definition, the orders of magnitude of the limit carbonate hardness, the salt content, the concentration rate and the total number of bacteria are core control parameters of the circulating cooling water treatment.
And step S2, establishing a water quality change pre-judging model and/or a water quality early warning model with the core parameters as independent variables.
In step S2, in order to more accurately reflect and predict the water quality of the recirculated cooling water, a prediction model capable of predicting water quality changes and an early warning model capable of early warning whether the water quality is qualified are specially provided, so that automation and intelligence of recirculated cooling water treatment are realized, and intelligence, predictability and predictability of treatment are improved.
Step S3, monitoring and acquiring a core parameter data table of the industrial circulating cooling water in real time by using an online instrument; and/or acquiring a core parameter data table of the industrial circulating cooling water through laboratory test water quality.
The data table may be a multi-data table in which the core parameter is a bibliographic item, and another data table and a related data table representing the core parameter may be provided according to prediction needs.
Regarding online meter water quality monitoring, the online detection meter can reduce the workload of testing personnel, and data transmission and storage are more convenient. At present, the water quality indexes of the common online detection in the industrial circulating cooling water system mainly comprise: turbidity, suspended matter, conductivity, total dissolved solids, pH, dissolved oxygen, oxidation-reduction potential and the like, and the water treatment online instrument further comprises an online oil content and COD (chemical oxygen demand) tester, an online phosphorus analyzer, a silicon analyzer, a hardness monitor, an alkalinity online analyzer and the like.
On the one hand, the online meter water quality monitoring can reduce the workload of workers, and more importantly, the online meter water quality monitoring can be combined with the automatic control of dosing systems such as circulating water scale and corrosion inhibitors, sterilization algaecides and the like. However, there are also some problems with online meter monitoring: on one hand, the online instrument needs to be calibrated at intervals so as to prevent the error of monitoring data from exceeding the range; on the other hand, the on-line instrument can only monitor a small part of parameters, and the rest water quality parameters need to be monitored by laboratory tests.
Regarding laboratory test water quality data monitoring, traditional laboratory water quality tests and records are manually operated, except laboratories which carry out test analysis according to corresponding national standards by national measurement and certification laboratories, in particular to large-scale field analysis and test of industrial enterprises, in order to avoid misoperation or false alarm, the operation flow of the field laboratory is designed, and through standardized operation procedures and corresponding data comparison and verification work, the correctness of water quality analysis data is guaranteed, and the error occurrence rate in the work is reduced.
When water quality exceeds the standard and alarms or a certain data change is greatly warned, the reason can be screened, and corresponding feedback adjustment is adopted according to a plan, so that the normal operation of the whole circulating water system is ensured.
It should be emphasized that the specific sequence of step S2 and step S3 may be interchanged and is not specifically limited.
And step S4, prejudging or prewarning the water quality of the industrial circulating cooling water according to the water quality change prejudging model and/or the water quality prewarning model and the core parameter data table, so as to obtain data such as whether the industrial circulating cooling water is qualified or not and the difference between the industrial circulating cooling water and the qualified standard, and facilitate subsequent processing operation.
In the embodiment, through the steps of the method, the circulating water monitoring method and the corresponding system are constructed, so that the automatic monitoring and control of the circulating water of the iron and steel enterprise are realized, the automatic control and feedback adjustment of the water quality of the iron and steel enterprise are realized, the treatment efficiency of the circulating cooling water is improved, the stability of the water quality is ensured, and the waste of water resources is avoided.
In a specific embodiment, the step 2 further includes: selecting a water quality judgment index as a water quality change pre-judgment model, wherein the water quality judgment index comprises any one of the following indexes: a water quality judgment index based on calcium carbonate dissolution balance or a water quality judgment index based on multi-parameter analysis; and selecting a quadratic exponential averaging method or a quadratic exponential smoothing method to perform water quality early warning.
Specifically, the water quality judgment index specifically includes:
(1) water quality judgment index based on calcium carbonate dissolution balance
Natural water in China is mainly of heavy carbonate type, and the scale formation problem in a circulating cooling water system is mainly of carbonic acid. A large number of scholars represented by Langelier provide a judgment index of water quality stability based on the dissolution balance of calcium carbonate, and lay a foundation for quantitative research of water quality characteristics. At present, the main water quality judgment indexes based on calcium carbonate dissolution balance include Langelier index L.S.I., Ryznar index R.S.I., and Puckorius index P.S.I.
(ii) Langelier index L.S.I.
L.s.i. also known as saturation index, was developed by Langelier in 1936 based on the equilibrium solubility of calcium carbonate. It refers to the difference between the actual pH of water and the pH of the water at the time of calcium carbonate saturation, which reflects whether calcium carbonate will crystallize out, thereby determining the scaling or corrosion tendency of water.
(ii) Ryznar index R.S.I.
R.s.i. also known as stability index is a semi-empirical index proposed by Ryznar in 1944 on the basis of a large number of experiments against the disadvantage of Langelier index.
③ Puckorius index p.s.i.
P.s.i. also known as fouling index, was proposed by Puckorius in 1979 to replace the actual pH with an equilibrium pH to correct the Ryznar index.
TABLE 1 Water quality stabilization judgment calculation formula
Table 2 l.s.i., r.s.i., p.s.i. judgment table
(2) Water quality judgment index based on multi-parameter analysis
With the research of people on the water quality characteristics, the water quality of actual circulating cooling water is found to be more complex. Scholars at home and abroad put forward a water quality judgment index based on multi-parameter analysis through a large amount of research. The scholars in China provide water quality judgment indexes which are more in line with actual requirements according to actual water quality conditions, and the factors considered by the scholars are more comprehensive and have important actual values and theoretical values. The water quality judgment index parameters specifically include:
(ii) Larson Corrosion index LR
LR was summarized by Larson and Skold when analyzing the corrosion of carbon steel with large amounts of water, which is believed to be corrosive to Cl-, SO4 2-And HCO3 -Closely related, its empirical formula is then given, defined as:
LR=[Cl-] + [SO4 2-]/ CM
in the formula [ Cl ]-]Cl in water-Concentration of (3), mol/L; [ SO ] in4 2-]SO in water4 2-Concentration of (3), mol/L; CM-alkalinity in Water, mg/L.
The water quality judgment conclusion is as follows: when LR is 1-5, it is general corrosion; when LR is 15-20, serious corrosion is caused; when LR is 30-40, it is a serious corrosion. LR is mainly used for corrosion judgment of carbon steel.
② thermal resistance of fouling rF
The inverse of the fouling heat transfer coefficient, called fouling resistance rF, can be calculated and also measured. The thermal resistance value of dirt on the water side of a heat transfer surface of equipment is required to be less than 3.44 multiplied by 10 < -4 > m2 & K/W at present; fouling resistance can measure the degree of fouling caused by different water qualities.
③ Corrosion factor F and Scale factor J
The corrosion factor F refers to the degree of corrosion of certain water quality to carbon steel under the circulating water operation condition, and is mainly related to the hardness, alkalinity, chloride ion concentration and total dissolved salt concentration in water. The scaling factor J is the ratio of the ionic product of hardness and alkalinity of calcium at a specific temperature to the solubility product at equilibrium at that temperature for a given water quality, and is primarily related to hardness and alkalinity in water.
Concentration multiple difference
The concentration multiple difference method is an empirical method, and is judged by taking the difference between the concentration multiple of chloride ions and the concentration multiple of total alkalinity as an example. When the difference is larger, the water quality is more unstable and the degree of scaling is more serious.
In conclusion, the setting of the circulating water quality pre-judging model is mainly obtained through historical treatment experience and dynamic simulation experiments. When the relation between the water quality stability indexes changes, the water quality problem occurring in the circulating water system can be directly judged, so that the circulating water system can be observed by technicians, and field personnel can be helped to adjust the operation scheme.
In addition, the water quality early warning mathematical model can be selected from the following two models:
(1) quadratic exponential averaging method
The quadratic exponential averaging method is a method for calculating a predicted value by using a prediction model established based on a first moving average value and a second moving average value after the first moving average value is subjected to second moving average. As described above, the moving average value obtained by the first moving average method has a hysteresis deviation. Especially when the time series data exhibit a linear trend, the moving average always lags behind the change in the observed data. The quadratic moving average method is to correct the lag deviation, establish a linear time relation mathematical model of the prediction target and obtain the prediction value. The quadratic moving average prediction method solves the contradiction that the predicted value lags behind the actual observed value, is suitable for predicting the time series of the market phenomenon with obvious trend variation, and simultaneously keeps the advantages of the primary moving average method. The quadratic moving average method is suitable for time series and shows prediction of linear trend change.
(2) Quadratic exponential smoothing method
The quadratic exponential smoothing method is a method for calculating two smoothing values on the basis of the exponential smoothing method, establishing a prediction model on the basis, and predicting a future value.
The actual value of the total hard concentration of the circulating water of a certain iron and steel enterprise is selected to be compared with the predicted values of the two models, and comparison graphs of the predicted value and the actual value are obtained respectively.
The comparison graph shows that the quadratic exponential smoothing method has higher prediction precision and more accurate prediction. Therefore, a quadratic exponential smoothing method may be preferred as the mathematical model for the implementation of the early warning function.
Specifically, the step 3 further includes: and (4) carrying out water quality parameter verification on the obtained core parameter data table, and judging whether the water quality monitoring data is correct or not through pH value verification, hardness verification or scaling ion verification. The specific check formula comprises:
(1) checking of pH value
HCO in circulating water, pH and water3 -And CO2The calibration relationship of the concentration of (a) is as follows: pH =6.35+ lg [ HCO ]3 -/61.02]-lg[CO2/44]. Wherein the pH range is 0-14.
(2) Hardness verification
Firstly, the total hardness is more than or equal to the calcium hardness;
② [Ca2 +/20.04 + Mg2 +/12.15]total hardness of 100.09 or less
(3) Calibration of hardness and scaling ions
[HCO3 -/61.02]<[Ca2 +/20.04+Mg2 +/12.15]<[HCO3 -/61.02+SO4 2-/48.03]。
In a specific embodiment, the prediction method further includes, after the step 4:
step 5, according to the water quality prejudgment or early warning condition, performing water supplementing or draining treatment on the industrial circulating cooling water; and/or, adding at least one of the following: corrosion inhibitors, dispersants or bactericides.
Optionally, the manner of adding the medicament in step 5 includes any one of the following: automatically adding medicine according to the detection result of the instrument, proportionally adding according to the water supplement amount or the sewage discharge amount, adding according to a preset time schedule, and adding according to the index determined by calculation or manually adding.
The method specifically comprises the following steps: firstly, automatically adding medicine according to the feedback detection data of a reagent field detection instrument; secondly, adding the water according to the proportion according to the water supplement amount of the circulating or direct-discharging cooling tower; thirdly, adding the sewage according to the proportion according to the water supplement amount or the sewage discharge amount; fourthly, adding bactericide according to a time schedule (every day and every month); controlling pollution discharge according to the conductivity or the circulation multiple; sixthly, controlling the pH value of the cooling circulating water system; and controlling the oxidation-reduction potential of the cooling circulating water system. The automatic dosing control of the circulating water can also be switched to manual dosing, and after the metering pump is manually started, the metering pump runs until the metering pump is manually stopped.
The automatic adding agent of the circulating water can display the adding amount in real time through a computer, can also automatically collect and store data and generate a report.
In a specific embodiment, the step 5 specifically includes:
when the treatment is specifically executed, the control of the adding amount and the adding concentration can be realized according to different control parameters, specifically:
the adding concentrations of the corrosion inhibitor and the bactericide can be respectively adjusted according to the total phosphorus, ORP and conductivity parameters of the water quality, and the water replenishing quantity and the water discharging quantity are adjusted through the feedback of the concentration times calculated by the conductivity;
the dosage of the corrosion inhibitor and the dispersant is adjusted according to the water quality stability parameter which directly reflects the corrosion and scaling tendency;
for example, in actual operation, parameters such as the stability index (R.S.I) of Ryznar and the like can be synthesized, the corrosion and scaling tendency of the circulating cooling water can be directly reflected, and the dosage of the scale inhibitor and the corrosion inhibitor in the dosing formula can be adjusted according to the corrosion or scaling property.
In an industrial circulating cooling water system, the stable operation of the circulating water system is ensured, and the Ryznar stability index (R.S.I) value can be set to operate between 5.5 and 6.5.
In addition, the method can also regulate and control the management of the circulating water system by a multi-parameter mathematical calculation method, realize the functions of early warning and alarming of the operation of the circulating water system by combining parameters such as water quality, water quantity, water stability, concentration multiple, types and addition of added medicaments and the like and large data trend calculation of a database, and automatically adjust the treatment scheme of the circulating water system by combining with a set plan.
Example 2
Referring to fig. 2, a treatment device for industrial circulating cooling water is shown, which is preferably treated by the prediction method disclosed in embodiment 1. The treatment device comprises a monitoring instrument or instrument, a heat exchanger, a cooling water tower and a water collecting tank which are connected in series by pipelines, wherein each circulating cooling water system can be connected to the water collecting tank, and the connection sequence of each instrument and each system is not particularly limited.
And a water replenishing pipe and a sewage draining pipe are arranged on the water collecting tank, a medicament adding device is connected to the serial pipeline and is controlled by a control system, and the control system is electrically connected with each monitoring instrument or instrument and used for acquiring parameters of the monitoring instrument or instrument.
According to the control requirement, the software in the control system can execute the method in the above embodiment 1, or the control system can implement the above method under the control of other information systems.
The control system is a two-stage control system consisting of an industrial personal computer and a PLC (programmable logic controller), and data communication is realized between the industrial personal computer and the PLC through an MPI (message passing interface) communication card arranged on the industrial personal computer.
Specifically, the control system for automatically feeding circulating water adopts a computer corrosion and scale inhibitor and a sterilization algicide feeding pump PLC to form an upper-level and lower-level control system, and upper-level and lower-level data communication between the computer PLCs is realized by inserting an MPI communication card in a computer groove. In the system, an upper computer mainly undertakes monitoring and management tasks, and an operating platform is a windows operating system. The lower computer is used for real-time data acquisition and control, and the adding of the two medicaments is completed by two metering pumps. The on-site real-time data to be collected by the system mainly comprises signals of 10 points including a PH value, circulating water conductivity, water supply conductivity, an oxidation-reduction potential, water supply quantity, a sewage discharge quantity, circulating water flow quantity, a water collecting tank liquid level, an inlet temperature and an outlet temperature.
As can be seen from fig. 2, the chemical adding apparatus includes a corrosion inhibitor adding unit, a dispersant adding unit, and a bactericide adding unit.
The industrial personal computer is also provided with a watchdog timer and an exception handling module so as to overcome the fatal problem that the system is paralyzed due to the fact that the machine crashes due to exception reasons, and the reliability of the system is improved.
The operation process of the above embodiment will be described in detail below by taking a clean ring system of a large-scale steel enterprise as an example. Wherein, the basic data is shown in a table 3, the quality of the make-up water and the quality of the circulating water are respectively shown in a table 4 and a table 5, the water quality control requirement of the circulating water system is shown in a table 6, and the daily operation monitoring index is shown in a table 7.
TABLE 3 basic data table of circulating cooling water system
Table 4 quality meter for make-up water of circulating cooling water system
Table 5 circulating water quality meter for circulating cooling water system
TABLE 6 Water quality control requirement of recirculated cooling Water System
TABLE 7 on-line monitoring index for daily operation
Automatic feeding of corrosion and scale inhibitor
The automatic control and addition of the corrosion and scale inhibitor is realized by controlling the concentration of total phosphorus. The control range of the total phosphorus of the circulating water in the chemical water treatment scheme is set on a computer, and a controller controls the start and stop of a dosing metering pump according to the measured value of a total phosphorus meter.
Automatic adding of bactericide
The automatic feeding of the oxidizing bactericide is realized through an online ORP value, an ORP upper limit and an ORP lower limit are set on a computer, and the feeding of the sodium hypochlorite bactericide is automatically controlled through a measurement value.
On-line monitoring of concentration multiple
The circulating cooling water is selected on site by monitoring the water replenishing conductivity and the circulating water conductivity on line, calculating the concentration ratio of the circulating water in real time and carrying out continuous automatic pollution discharge through the concentration ratio.
In addition, circulating water system can be through adopting instruments such as online turbidity appearance, online pH value to carry out relevant monitoring, if there is needs, can further monitor the operation of side filter for the circulating water is up to standard for a long time and keeps stable.
The above description is only an embodiment of the present application and is not intended to limit the scope of the present application. Any modification, equivalent replacement, improvement, extension, etc. made within the spirit and principle of the present application are included in the protection scope of the present application.
Claims (10)
1. A prediction method for industrial circulating cooling water is characterized by comprising the following steps:
step 1, screening and determining a plurality of core parameters capable of representing the quality of industrial circulating cooling water from the parameters of the industrial circulating cooling water;
step 2, establishing a water quality change pre-judging model and/or a water quality early warning model by taking the core parameters as independent variables;
step 3, monitoring and acquiring a core parameter data table of the industrial circulating cooling water in real time by using an online instrument; and/or acquiring a core parameter data table of the industrial circulating cooling water through laboratory test water quality;
step 4, according to the water quality change pre-judging model and/or the water quality early warning model,
and the core parameter data table is used for carrying out prejudgment or early warning on the quality of the industrial circulating cooling water.
2. The prediction method according to claim 1, wherein the core parameters include any one or more of: the limiting carbonate hardness, salt content, concentration rate or the number of total bacteria.
3. The prediction method according to claim 1, wherein the step 2 comprises: selecting a water quality judgment index as a water quality change pre-judgment model, wherein the water quality judgment index comprises any one of the following indexes: a water quality judgment index based on calcium carbonate dissolution balance or a water quality judgment index based on multi-parameter analysis; selecting a quadratic exponential averaging method or a quadratic exponential smoothing method to carry out water quality early warning;
the step 3 further comprises: and (4) carrying out water quality parameter verification on the obtained core parameter data table, and judging whether the water quality monitoring data is correct or not through pH value verification, hardness verification or scaling ion verification.
4. The prediction method according to claim 3, wherein the prediction method further comprises, after the step 4:
step 5, according to the water quality prejudgment or early warning condition, performing water supplementing or draining treatment on the industrial circulating cooling water; and/or, adding at least one of the following: corrosion inhibitors, dispersants or bactericides.
5. The prediction method according to claim 4, wherein the manner of adding the pharmaceutical agent in step 5 comprises any one of the following: automatically adding medicine according to the detection result of the instrument, proportionally adding according to the water supplement amount or the sewage discharge amount, adding according to a preset time schedule, and adding according to the index determined by calculation or manually adding.
6. The prediction method according to claim 4, wherein the step 5 specifically comprises:
respectively adjusting the adding concentration of the corrosion inhibitor and the bactericide according to the total phosphorus, ORP and conductivity parameters of the water quality, and adjusting the water replenishing quantity and the water discharging quantity in a feedback manner through the concentration multiple calculated by the conductivity;
adjusting the dosage of the corrosion inhibitor and the dispersant according to the water quality stability parameter which directly reflects the corrosion and scaling tendency;
and adjusting the prediction method by combining water quality pre-judgment or early warning conditions through water quality, water quantity, concentration times, medicament types and dosage parameters.
7. A processing device adopting the prediction method of any one of claims 1 to 6, wherein the processing device comprises a monitoring instrument, a heat exchanger, a cooling water tower and a water collecting tank which are connected in series, wherein a water replenishing pipe and a sewage draining pipe are arranged on the water collecting tank, a medicament adding device is connected to the series-connected pipe, and the medicament adding device is controlled by a control system.
8. The processing device according to claim 7, wherein the control system is a two-stage control system consisting of an industrial personal computer and a PLC (programmable logic controller), and data communication is realized between the industrial personal computer and the PLC through an MPI (message passing interface) communication card arranged on the industrial personal computer.
9. The processing apparatus according to claim 8, wherein the agent adding device includes a corrosion inhibitor adding unit, a dispersant adding unit, and a bactericide adding unit; the industrial personal computer is also provided with a watchdog timer and an exception handling module.
10. The processing apparatus of claim 7, wherein the parameters that the monitoring meter is capable of monitoring further comprise: the pH value, the circulating water conductivity, the supplemented water conductivity, the oxidation-reduction potential, the water supplementing quantity, the sewage discharge quantity, the circulating water flow quantity, the water collecting tank liquid level, the inlet temperature and the outlet temperature of the industrial circulating cooling water.
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