Circulating cooling water on-line monitoring intelligent response system

Abstract

The invention relates to the technical field of circulating cooling water systems, and particularly discloses a circulating cooling water online monitoring intelligent response system which comprises a water quality parameter acquisition and analysis module, a water hardness data acquisition and analysis module, an influence relation analysis module and a scale inhibitor dosage control and adjustment module, the water quality parameter acquisition and analysis module is used for acquiring the pH value, the conductivity and the turbidity of cooling water and judging the water quality state according to the pH value, the conductivity and the turbidity; the water hardness data acquisition and analysis module is used for acquiring calcium ion and magnesium ion concentrations, calculating a unit water hardness value and further judging a water hardness state; the influence relation analysis module analyzes the interaction relation according to the state signals of the water quality and the water hardness; the water quality and water hardness change of the circulating cooling water system can be effectively monitored, efficient and stable operation of the system is guaranteed through automatic control, the maintenance cost and the chemical consumption are reduced, and remarkable energy-saving and environment-friendly benefits are achieved.

Description

Technical Field

[0001] The invention relates to the technical field of circulating cooling water systems, and in particular to an online monitoring intelligent response system for circulating cooling water. Background Art

[0002] Circulating cooling water systems are widely used in industrial production processes. Their main function is to reduce the operating temperature of equipment by circulating cooling water to ensure the normal operation of equipment. However, changes in the water quality of circulating cooling water will directly affect the cooling efficiency and equipment life, especially factors such as pH value, conductivity, turbidity, and calcium and magnesium ion content in the water. Traditional monitoring methods usually involve regular sampling and testing, which is not only time-consuming but also unable to reflect the water quality status in real time, making it difficult to take timely measures for adjustment. This leads to the possibility that the circulating cooling water system may face problems such as scaling and corrosion.

[0003] At present, there are several common methods for monitoring the water quality of circulating cooling water systems. For example, periodically taking samples from the circulating cooling water system and sending them to the laboratory for water quality analysis. Although this method can obtain relatively accurate data, it cannot achieve continuous monitoring and has a long feedback time, which is not conducive to timely regulation. Alternatively, portable water quality detection instruments are used to measure directly on site. Although such equipment can increase the detection frequency, it still requires manual operation and is limited by the limitations of the detection items, and cannot fully evaluate the water quality status. For example, fixed online monitoring devices can be installed to monitor water quality changes in real time. Although such systems can better meet the needs of continuous monitoring, due to technical limitations, they can often only detect a single indicator and lack comprehensive evaluation capabilities.

[0004] The above methods all have certain limitations, such as long detection cycle and limited monitoring range, which make it difficult to effectively solve the problems existing in the circulating cooling water system.

[0005] The present invention aims to overcome the deficiencies in the prior art and proposes an online monitoring intelligent response system for circulating cooling water that can monitor the water quality and water hardness in the circulating cooling water system in real time and automatically adjust the dosage of scale inhibitor according to the monitoring results. Summary of the invention

[0006] The object of the present invention is to provide an online monitoring intelligent response system for circulating cooling water to solve the above-mentioned background problems.

[0007] The purpose of the present invention can be achieved by the following technical solutions:

[0008] A circulating cooling water online monitoring intelligent response system, comprising: a water quality parameter acquisition and analysis module

[0009] block, water hardness data acquisition and analysis module, influence relationship analysis module and antiscalant dosage control and adjustment module;

[0010] The water quality parameter acquisition module is used to obtain the water quality parameters of the cooling water in the circulating cooling water system;

[0011] Among them, water quality parameters include pH value, conductivity and turbidity of cooling water;

[0012] Obtaining a water quality status signal according to water quality parameters;

[0013] Among them, the water quality status signal includes a water quality qualified signal and a water quality unqualified signal;

[0014] The water hardness data acquisition and analysis module is used to obtain the calcium ion and magnesium ion data in the cooling water in the circulating cooling water system, and obtain the unit water hardness value based on the calcium ion and magnesium ion data;

[0015] Obtain a water hardness status signal according to the unit water hardness value;

[0016] The water hardness status signal includes an unqualified water hardness signal and a qualified water hardness signal;

[0017] The influence relationship analysis module analyzes the influence relationship between water quality and water hardness in the circulating cooling water system based on the water quality unqualified signal and the water hardness unqualified signal, and obtains the water hardness negative correlation influence signal;

[0018] The scale inhibitor dosage control and adjustment module controls and adjusts the scale inhibitor dosage according to the negative correlation influence signal of water hardness.

[0019] As a further solution of the present invention: the processing process of pH value, conductivity and turbidity is specifically as follows:

[0020] The process of pH value processing is:

[0021] All pH values ​​within the monitoring period are processed to obtain a pH value group;

[0022] The pH value group is processed according to the mean value calculation formula to obtain the pH mean value PHJ of the cooling water during the monitoring period;

[0023] The pH value group is processed according to the standard deviation calculation formula to obtain the pH value standard deviation PHC of the cooling water within the monitoring period;

[0024] By formula The ratio of pH value of cooling water in the time subunit is calculated and obtained as PHB;

[0025] Wherein, i is the number of time subunits, i = 1, 2, ..., i;

[0026] Conductivity and turbidity are treated in the same manner as described above for pH.

[0027] As a further solution of the present invention: the process of obtaining the water quality score is:

[0028] The difference between the ratio PHZ of the pH value of the cooling water and the ideal ratio of the pH value of the cooling water is calculated to obtain the error value between the pH value ratio and the ideal ratio, and the absolute value of the obtained error value is recorded as the pH error value PHZ;

[0029] Based on the pH error value PHZ, the conductivity ratio DDZ and the turbidity ratio ZDZ, a weight w1 is assigned to the cooling water pH error value PHZ, a weight w2 is assigned to the cooling water conductivity ratio DDZ, and a weight w3 is assigned to the cooling water turbidity ratio ZDZ;

[0030] By formula The water quality score within the time subunit is calculated.

[0031] As a further solution of the present invention: the process of obtaining the water quality status signal is:

[0032] comparing the water quality score to a water quality score threshold;

[0033] If the water quality score is greater than or equal to the water quality score threshold, it means that the water quality is good and a water quality qualified signal is generated;

[0034] If the water quality score is less than the water quality score threshold, it means that the water quality is poor and a water quality unqualified signal is generated.

[0035] As a further solution of the present invention: the process of obtaining the unit water hardness value is:

[0036] Acquire the concentration of calcium ions NDca and magnesium ions NDmg in the cooling water when the time subunit is in the middle moment;

[0037] The unit water hardness value of the cooling water in the time subunit is calculated by the formula SYD=2.5×(NDca+2×NDmg).

[0038] As a further solution of the present invention: the process of obtaining the water hardness state signal is:

[0039] comparing the water hardness of the cooling water with a water hardness threshold;

[0040] If the water hardness is greater than or equal to the water hardness threshold, it means that the water hardness is abnormal, and a water hardness unqualified signal is generated;

[0041] If the water hardness is less than the water hardness threshold, it means that the water hardness is normal and a water hardness qualified signal is generated.

[0042] As a further solution of the present invention: based on the water quality unqualified signal and the water hardness unqualified signal, the correlation between the water quality and the water hardness of the cooling water is obtained, specifically:

[0043] In a monitoring cycle, obtain the real-time water quality score and real-time water hardness of each time subunit;

[0044] Processing the real-time water quality scores and real-time water hardness of all time sub-units to obtain real-time water quality score groups and real-time water hardness groups;

[0045] The real-time water quality score group and the real-time water hardness group are processed according to the mean calculation formula to obtain the real-time water quality score mean SZFJ and the real-time water hardness mean SYDJ within the monitoring period;

[0046] By formula The correlation value between water hardness and water quality score was calculated;

[0047] Wherein, i is the number of time subunits in the monitoring period, i=1,2,...,n.

[0048] As a further solution of the present invention: the process of analyzing the influence relationship between water quality and water hardness is:

[0049] comparing the absolute value of the correlation value to a correlation threshold;

[0050] If the absolute value of the correlation value is greater than or equal to the correlation threshold, a correlation signal is generated;

[0051] If the absolute value of the correlation value is less than the correlation threshold, a non-correlation signal is generated;

[0052] Based on the correlation signal, if the correlation value is greater than 0, a water hardness positive correlation influence signal is generated;

[0053] If the correlation value xs is less than 0, a water hardness negative correlation influence signal is generated.

[0054] As a further solution of the present invention: based on the negative correlation influence signal of water hardness, the dosage of the scale inhibitor is adjusted, and the specific process is as follows:

[0055] Get the real-time conductivity DDL of cooling water when the circulating water cooling system is working;

[0056] The scale inhibitor dosage ZGJ is calculated by the formula ZGJ=b1+b2×(DDL-DDY);

[0057] Wherein, b1 is the preset baseline antiscalant dosage, i.e., the basic dosage of the antiscalant, which is the basic dosage of the antiscalant without exceeding the qualified threshold value; b2 is the preset coefficient, i.e., the change in the dosage of the antiscalant when the conductivity increases by one unit; DDY is the qualified threshold value of conductivity.

[0058] As a further solution of the present invention: based on the dosage of the scale inhibitor, the dosage of the scale inhibitor in the circulating cooling water system is adjusted;

[0059] After the adjustment, the water quality score is obtained again. If the water quality score is qualified, the adjustment is stopped;

[0060] If the water quality score is unqualified, repeat the above steps.

[0061] Beneficial effects of the present invention:

[0062] (1) The present invention realizes real-time monitoring of various key water quality parameters and water hardness of circulating cooling water through an online monitoring system. Compared with the traditional regular manual sampling and detection method, this method greatly shortens the time interval from problem discovery to problem solving, and can respond to water quality changes in real time, thereby effectively avoiding the accumulation of potential problems caused by long detection cycles. Real-time monitoring allows operators to take measures quickly and adjust process parameters in a timely manner to ensure that water quality is always in the best state. In addition, the system can automatically analyze the correlation between unqualified water quality signals and unqualified water hardness signals based on the monitored data, and intelligently adjust the dosage of scale inhibitors accordingly. This intelligent control process reduces the need for manual intervention and improves the automation level and operating efficiency of the entire system. At the same time, by accurately controlling the use of scale inhibitors, it can further reduce the consumption of chemicals, reduce operating costs, and improve resource utilization efficiency;

[0063] (2) By continuously monitoring the water quality and water hardness in the circulating cooling water system, the present invention can effectively prevent the occurrence of equipment scaling, corrosion and other problems, significantly reduce the equipment failure rate, and extend the service life of the equipment. This preventive maintenance method not only reduces the downtime and maintenance costs caused by equipment failure, but also provides a more stable production environment for the factory, ensuring production continuity and consistency of product quality. At the same time, by optimizing the dosing strategy of the scale inhibitor, the present invention avoids unnecessary excessive use of chemical substances and reduces the impact on the environment. This environmentally friendly solution not only conforms to the current trend of energy conservation and emission reduction, but also helps enterprises to fulfill their social responsibilities while achieving economic benefits. In addition, the application of energy conservation and emission reduction measures is also conducive to improving the public image of enterprises, enhancing their market competitiveness and social responsibility, and bringing long-term development prospects to enterprises;

[0064] (3) The present invention not only solves the practical problems in circulating cooling water treatment, but also indirectly improves production efficiency and reduces maintenance costs by improving the stability and reliability of the system, thus creating significant economic benefits for the enterprise. More importantly, this innovative technical solution reflects a sense of responsibility for environmental protection. By saving energy and reducing emissions and reducing the excessive use of chemicals, it helps to reduce the pressure of industrial activities on the environment and reflects the enterprise's commitment to sustainable development. Therefore, the present invention not only has important commercial value, but also carries great social responsibility. It has far-reaching significance for promoting industry progress and promoting sustainable social and economic development. By implementing the technical solution of the present invention, the enterprise can not only obtain economic benefits, but also establish a good image in the society and win wider support and recognition, thus laying a solid foundation for achieving the long-term development goals of the enterprise. BRIEF DESCRIPTION OF THE DRAWINGS

[0065] The present invention will be further described below in conjunction with the accompanying drawings.

[0066] Figure 1 It is a flowchart of the specific steps of an online monitoring intelligent response system for circulating cooling water of the present invention;

[0067] Figure 2 It is a flow chart of obtaining the ratio of pH value, the ratio of conductivity and the ratio of turbidity value in an online monitoring intelligent response system of circulating cooling water of the present invention;

[0068] Figure 3 The present invention is a flow chart of an online monitoring intelligent response system for circulating cooling water. DETAILED DESCRIPTION

[0069] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0070] Example 1

[0071] See also Figure 1 As shown, the present invention is an online monitoring intelligent response system for circulating cooling water, comprising: a water quality parameter acquisition and analysis module, a water hardness data acquisition and analysis module, an influence relationship analysis module and an antiscalant dosage control and adjustment module;

[0072] The water quality parameter acquisition module is used to obtain the water quality parameters of the cooling water in the circulating cooling water system;

[0073] Among them, water quality parameters include pH value, conductivity and turbidity of cooling water;

[0074] Obtaining a water quality status signal according to water quality parameters;

[0075] Among them, the water quality status signal includes a water quality qualified signal and a water quality unqualified signal;

[0076] The water hardness data acquisition and analysis module is used to obtain the calcium ion and magnesium ion data in the cooling water in the circulating cooling water system, and obtain the unit water hardness value based on the calcium ion and magnesium ion data;

[0077] Obtain a water hardness status signal according to the unit water hardness value;

[0078] The water hardness status signal includes an unqualified water hardness signal and a qualified water hardness signal;

[0079] The influence relationship analysis module analyzes the influence relationship between water quality and water hardness in the circulating cooling water system based on the water quality unqualified signal and the water hardness unqualified signal, and obtains the water hardness negative correlation influence signal;

[0080] The scale inhibitor dosage control and adjustment module controls and adjusts the scale inhibitor dosage according to the negative correlation influence signal of water hardness.

[0081] Example 2

[0082] Divide the monitoring period into a number of time sub-units of equal length, and obtain the water quality parameters in the circulating cooling water system when the time sub-unit is in the middle moment;

[0083] Among them, water quality parameters include pH value, conductivity and turbidity of cooling water;

[0084] Process the water quality parameters, specifically:

[0085] All pH values ​​within the monitoring period are processed to obtain a pH value group;

[0086] The pH value group is processed according to the mean value calculation formula to obtain the pH mean value PHJ of the cooling water during the monitoring period;

[0087] Based on the pH mean value PHJ of cooling water, the pH value group is processed according to the standard deviation calculation formula to obtain the pH standard deviation PHC of cooling water within the monitoring period;

[0088] By formula The ratio of pH value of cooling water in the time subunit is calculated and obtained as PHB;

[0089] Wherein, i is the number of time subunits, i = 1, 2, ..., i;

[0090] The difference between the ratio of the pH value of the cooling water PHB and the ideal ratio of the pH value of the cooling water is calculated to obtain the error value between the pH value ratio and the ideal ratio, and the absolute value of the obtained error value is recorded as the pH error value PHZ;

[0091] It should be noted that for most industrial cooling water systems, the ideal pH value is usually between 6.5 and 9.0, depending on the system design and the materials used. If the pH value is too low, it may cause corrosion, and if it is too high, it may cause scaling. Therefore, the ideal pH value varies depending on the system design. The closer the pH value is to the ideal pH value, the better.

[0092] All conductivity DDs within the monitoring period are processed to obtain a conductivity group;

[0093] The conductivity group is processed according to the mean value calculation formula to obtain the mean value DDJ of the conductivity of the cooling water during the monitoring period;

[0094] Based on the conductivity mean DDJ of the cooling water, the conductivity group is processed according to the standard deviation calculation formula to obtain the conductivity standard deviation DDC of the cooling water during the monitoring period;

[0095] By formula The ratio DDZ of the electrical conductivity of cooling water in the time subunit is calculated;

[0096] It should be noted that conductivity reflects the content of dissolved solids in water. Generally speaking, the lower the conductivity, the purer the water. For industrial cooling water systems, the ideal range of conductivity will vary depending on the specific application scenario, but generally lower conductivity means better water quality.

[0097] Process all turbidity values ​​ZD within the monitoring period to obtain a turbidity value group;

[0098] The turbidity value group is processed according to the mean value calculation formula to obtain the turbidity mean value ZDJ of the cooling water within the monitoring period;

[0099] Based on the cooling water turbidity mean ZDJ, the turbidity value group is processed according to the standard deviation calculation formula to obtain the standard deviation ZDC of the cooling water turbidity value within the monitoring period;

[0100] By formula The ratio ZDZ of the cooling water turbidity values ​​in the time subunit is calculated;

[0101] It should be noted that turbidity reflects the amount of suspended particles in the water. Generally speaking, the lower the turbidity, the better the water quality;

[0102] Assign a weight w1 to the cooling water pH error value PHZ, assign a weight w2 to the cooling water conductivity ratio DDZ, and assign a weight w3 to the cooling water turbidity value ratio ZDZ;

[0103] By formula The water quality score SZF in the time subunit is calculated;

[0104] comparing the water quality score SZF with the water quality score threshold;

[0105] If the water quality score SZF is greater than or equal to the water quality score threshold, it means that the water quality is good and a water quality qualified signal is generated;

[0106] If the water quality score SZF is less than the water quality score threshold, it means that the water quality is poor and a water quality failure signal is generated;

[0107] The technical principle of the present invention is to standardize the acquired water quality parameters to the same scale, and through appropriate weight distribution, ensure that the score function can correctly reflect the actual water quality. In this case, the larger the comprehensive score, the better the water quality.

[0108] Example 3

[0109] Based on the unqualified water quality signal generated above, since abnormal water hardness can lead to unqualified water quality, it is analyzed and judged whether the unqualified water quality is related to abnormal water hardness. If there is a relationship of influence of water hardness, it is convenient to adjust the water hardness in time during the subsequent operation of the circulating cooling system, reduce the influence of water hardness on water quality during the use of the power strip, effectively maintain the water quality stability of the circulating cooling system during operation, and thus improve the efficiency and life of the circulating cooling system during operation. Specifically:

[0110] Acquire the concentration of calcium ions NDca and magnesium ions NDmg in the cooling water when the time subunit is in the middle moment;

[0111] The unit water hardness value SYD of the cooling water in the time subunit is calculated by the formula SYD=2.5×(NDca+2×NDmg);

[0112] Compare the water hardness SYD of the cooling water with a water hardness threshold value;

[0113] If the water hardness is greater than or equal to the water hardness threshold, it means that the water hardness is abnormal, and a water hardness unqualified signal is generated;

[0114] If the water hardness is less than the water hardness threshold, it means that the water hardness is normal, and a water hardness qualified signal is generated;

[0115] It should be noted that when the water hardness is too high, calcium and magnesium ions react with carbonate ions and bicarbonate ions in the water to form calcium carbonate and magnesium carbonate. These compounds may affect the buffering capacity of water, thereby indirectly affecting the pH value. Conductivity refers to the number of ions dissolved in water, and hardness is caused by calcium and magnesium ions. Therefore, increased hardness will directly lead to increased conductivity. As the water hardness is too high, calcium and magnesium ions may combine with carbonates and other anions in the water to form insoluble precipitates. These precipitates will be suspended in the water and increase the turbidity of the water.

[0116] Example 4

[0117] Based on the above-mentioned unqualified water quality signals and unqualified water hardness signals, the influence relationship between the water quality and water hardness of cooling water is analyzed, specifically:

[0118] In a monitoring cycle, obtain the real-time water quality score and real-time water hardness of each time subunit;

[0119] The real-time water quality scores of all time sub-units are processed to obtain real-time water quality score groups;

[0120] Processing the real-time water hardness of all time sub-units to obtain a real-time water hardness group;

[0121] The real-time water quality score is processed according to the mean calculation formula to obtain the mean value SZFJ of the real-time water quality score within the monitoring period;

[0122] The real-time water hardness group is processed according to the mean calculation formula to obtain the real-time water hardness mean value SYDJ within the monitoring period;

[0123] By formula Calculate the correlation value xs between water hardness and water quality score;

[0124] Wherein, i is the number of time subunits in the monitoring period, i = 1, 2, ..., n;

[0125] Compare the absolute value of the correlation value xs with the correlation threshold;

[0126] If |xs| is greater than or equal to the correlation threshold, it indicates that there is a strong linear relationship between water hardness and water quality score, and a correlation signal is generated;

[0127] If |xs| is less than the correlation threshold, it indicates that there is no obvious linear relationship between water hardness and water quality score, and a non-correlation signal is generated;

[0128] Based on the correlation signal, if the correlation value xs is greater than 0, it means that as the water hardness increases, the water quality score also tends to increase, generating a positive correlation influence signal of water hardness;

[0129] If the correlation value xs is less than 0, it indicates that the water quality score tends to decrease with the increase of water hardness, generating a negative correlation influence signal of water hardness;

[0130] It should be noted that if water hardness and water quality score are positively correlated, it means that increasing water hardness may lead to an increase in the overall score, but this may not be the desired result because too high water hardness can lead to problems such as scaling. If water hardness and overall score are negatively correlated, it means that increasing water hardness will reduce the overall score. This is a situation that requires special attention because it may indicate problems with the water treatment system. If there is almost no correlation between the two, it means that the unqualified water quality is caused by other factors.

[0131] Example 5

[0132] Based on the above negative correlation influence signal of water hardness, the dosage of scale inhibitor is adjusted to achieve the control of water hardness and water quality;

[0133] Specific:

[0134] Get the real-time conductivity DDL of cooling water when the circulating water cooling system is working;

[0135] It should be noted that since water hardness is mainly determined by the concentration of calcium and magnesium ions dissolved in water, and the presence of these ions will increase the conductivity of water, that is, there is a strong positive correlation between water hardness and conductivity, that is, an increase in water hardness will lead to an increase in conductivity. Therefore, based on the negative correlation signal of water hardness, the dosage of scale inhibitor can be adjusted by the change of conductivity;

[0136] The scale inhibitor dosage ZGJ is calculated by the formula ZGJ=b1+b2×(DDL-DDY);

[0137] Among them, b1 is the preset baseline scale inhibitor dosage, that is, the basic dosage of the scale inhibitor, which is the basic dosage of the scale inhibitor when it does not exceed the qualified threshold. b2 is the preset coefficient, that is, the change in the dosage of the scale inhibitor when the conductivity increases by one unit. DDY is the qualified threshold of conductivity. If the conductivity exceeds the qualified threshold of conductivity, it can be said that the water hardness is abnormal.

[0138] Based on the scale inhibitor dosage ZGJ, adjust the scale inhibitor dosage in the circulating cooling water system;

[0139] After the adjustment, the water quality score is obtained again. If the water quality score is qualified, it means that the water quality has returned to normal and the adjustment is stopped;

[0140] If the water quality score is unsatisfactory, the water quality has not returned to normal and the above steps are repeated.

[0141] Working principle of the present invention: The present invention realizes real-time monitoring of various key water quality parameters and water hardness of circulating cooling water through an online monitoring system. Compared with the traditional regular manual sampling and detection method, this method greatly shortens the time interval from problem discovery to problem solving, and can respond to water quality changes in real time, thereby effectively avoiding the accumulation of potential problems caused by long detection cycles. Real-time monitoring allows operators to take measures quickly and adjust process parameters in time to ensure that water quality is always in the best state. In addition, the system can automatically analyze the correlation between unqualified water quality signals and unqualified water hardness signals based on the monitored data, and intelligently adjust the dosage of scale inhibitors accordingly. This intelligent control process reduces the need for manual intervention and improves the automation level and operating efficiency of the entire system. At the same time, by accurately controlling the use of scale inhibitors, it can further reduce the consumption of chemicals, reduce operating costs, and improve resource utilization efficiency;

[0142] By continuously monitoring the water quality and water hardness in the circulating cooling water system, the present invention can effectively prevent the occurrence of equipment scaling, corrosion and other problems, significantly reduce the equipment failure rate, and extend the service life of the equipment. This preventive maintenance method not only reduces the downtime and maintenance costs caused by equipment failure, but also provides a more stable production environment for the factory, ensuring production continuity and consistency of product quality. At the same time, by optimizing the dosing strategy of the scale inhibitor, the present invention avoids unnecessary excessive use of chemical substances and reduces the impact on the environment. This environmentally friendly solution not only conforms to the current trend of energy conservation and emission reduction, but also helps enterprises to fulfill their social responsibilities while achieving economic benefits. In addition, the application of energy conservation and emission reduction measures is also conducive to improving the public image of enterprises, enhancing their market competitiveness and social responsibility, and bringing long-term development prospects to enterprises.

[0143] The present invention not only solves the practical problems in circulating cooling water treatment, but also indirectly improves production efficiency and reduces maintenance costs by improving the stability and reliability of the system, thus creating significant economic benefits for the enterprise. More importantly, this innovative technical solution reflects a sense of responsibility for environmental protection, and helps to reduce the pressure of industrial activities on the environment by saving energy and reducing excessive use of chemicals, thus reflecting the enterprise's commitment to sustainable development. Therefore, the present invention not only has important commercial value, but also carries great social responsibility, and has far-reaching significance for promoting industry progress and promoting sustainable social and economic development. By implementing the technical solution of the present invention, the enterprise can not only obtain economic benefits, but also establish a good image in the society, win wider support and recognition, thereby laying a solid foundation for achieving the long-term development goals of the enterprise.

[0144] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. A circulating cooling water online monitoring intelligent response system, characterized in that: include: Water quality parameter acquisition and analysis module, water hardness data acquisition and analysis module, influence relationship analysis module and antiscalant dosage control and adjustment module; The water quality parameter acquisition module is used to obtain the water quality parameters of the cooling water in the circulating cooling water system; Among them, water quality parameters include pH value, conductivity and turbidity of cooling water; Obtaining a water quality status signal according to water quality parameters; Among them, the water quality status signal includes a water quality qualified signal and a water quality unqualified signal; The water hardness data acquisition and analysis module is used to obtain the calcium ion and magnesium ion data in the cooling water in the circulating cooling water system, and obtain the unit water hardness value based on the calcium ion and magnesium ion data; Obtain a water hardness status signal according to the unit water hardness value; The water hardness status signal includes an unqualified water hardness signal and a qualified water hardness signal; The influence relationship analysis module analyzes the influence relationship between water quality and water hardness in the circulating cooling water system based on the water quality unqualified signal and the water hardness unqualified signal, and obtains the water hardness negative correlation influence signal; The scale inhibitor dosage control and adjustment module controls and adjusts the scale inhibitor dosage according to the negative correlation influence signal of water hardness.

2. The circulating cooling water online monitoring intelligent response system according to claim 1 is characterized in that: The processing process for pH value, conductivity and turbidity is as follows: The process of pH value processing is as follows: All pH values ​​within the monitoring period are processed to obtain a pH value group; The pH value group is processed according to the mean value calculation formula to obtain the pH mean value PHJ of the cooling water during the monitoring period; The pH value group is processed according to the standard deviation calculation formula to obtain the pH value standard deviation PHC of the cooling water within the monitoring period; By formula The ratio of pH value of cooling water in the time subunit is calculated and obtained as PHB; Wherein, i is the number of time subunits, i = 1, 2, ..., i; Conductivity and turbidity are treated in the same manner as described above for pH.

3. The circulating cooling water online monitoring intelligent response system according to claim 2 is characterized in that: The process of obtaining water quality scores is as follows: The difference between the ratio PHZ of the pH value of the cooling water and the ideal ratio of the pH value of the cooling water is calculated to obtain the error value between the pH value ratio and the ideal ratio, and the absolute value of the obtained error value is recorded as the pH error value PHZ; Based on the pH error value PHZ, the conductivity ratio DDZ and the turbidity ratio ZDZ, a weight w1 is assigned to the cooling water pH error value PHZ, a weight w2 is assigned to the cooling water conductivity ratio DDZ, and a weight w3 is assigned to the cooling water turbidity ratio ZDZ; By formula The water quality score within the time subunit is calculated.

4. The circulating cooling water online monitoring intelligent response system according to claim 3 is characterized in that: The process of obtaining water quality status signal is as follows: comparing the water quality score to a water quality score threshold; If the water quality score is greater than or equal to the water quality score threshold, it means that the water quality is good and a water quality qualified signal is generated; If the water quality score is less than the water quality score threshold, it means that the water quality is poor and a water quality unqualified signal is generated.

5. The circulating cooling water online monitoring intelligent response system according to claim 4 is characterized in that: The process of obtaining the unit water hardness value is: Acquire the concentration of calcium ions NDca and magnesium ions NDmg in the cooling water when the time subunit is in the middle moment; The unit water hardness value of the cooling water in the time subunit is calculated by the formula SYD=2.5×(NDca+2×NDmg).

6. The circulating cooling water online monitoring intelligent response system according to claim 5 is characterized in that: The process of obtaining the water hardness status signal is as follows: comparing the water hardness of the cooling water with a water hardness threshold; If the water hardness is greater than or equal to the water hardness threshold, it means that the water hardness is abnormal, and a water hardness unqualified signal is generated; If the water hardness is less than the water hardness threshold, it means that the water hardness is normal and a water hardness qualified signal is generated.

7. The circulating cooling water online monitoring intelligent response system according to claim 6 is characterized in that: Based on the water quality unqualified signal and the water hardness unqualified signal, the correlation between the water quality and water hardness of the cooling water is obtained, specifically: In a monitoring cycle, obtain the real-time water quality score and real-time water hardness of each time subunit; Processing the real-time water quality scores and real-time water hardness of all time sub-units to obtain real-time water quality score groups and real-time water hardness groups; The real-time water quality score group and the real-time water hardness group are processed according to the mean calculation formula to obtain the real-time water quality score mean SZFJ and the real-time water hardness mean SYDJ within the monitoring period; By formula The correlation value between water hardness and water quality score was calculated; Wherein, i is the number of time subunits in the monitoring period, i=1,2,...,n.

8. The circulating cooling water online monitoring intelligent response system according to claim 7 is characterized in that: The process of analyzing the relationship between water quality and water hardness is as follows: comparing the absolute value of the correlation value to a correlation threshold; If the absolute value of the correlation value is greater than or equal to the correlation threshold, a correlation signal is generated; If the absolute value of the correlation value is less than the correlation threshold, a non-correlation signal is generated; Based on the correlation signal, if the correlation value is greater than 0, a water hardness positive correlation influence signal is generated; If the correlation value xs is less than 0, a water hardness negative correlation influence signal is generated.

9. The circulating cooling water online monitoring intelligent response system according to claim 8 is characterized in that: Based on the negative correlation influence signal of water hardness, the dosage of scale inhibitor is adjusted. The specific process is as follows: Get the real-time conductivity DDL of cooling water when the circulating water cooling system is working; The scale inhibitor dosage ZGJ is calculated by the formula ZGJ=b1+b2×(DDL-DDY); Wherein, b1 is the preset baseline antiscalant dosage, i.e., the basic dosage of the antiscalant, which is the basic dosage of the antiscalant without exceeding the qualified threshold value; b2 is the preset coefficient, i.e., the change in the dosage of the antiscalant when the conductivity increases by one unit; DDY is the qualified threshold value of conductivity.

10. The circulating cooling water online monitoring intelligent response system according to claim 9, characterized in that: Based on the dosage of scale inhibitor, adjust the dosage of scale inhibitor in the circulating cooling water system; After the adjustment, the water quality score is obtained again. If the water quality score is qualified, the adjustment is stopped; If the water quality score is unqualified, repeat the above steps.

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