Intelligent lime dosing control method and system based on raw water pH value and flow rate

Abstract

The present application provides a lime intelligent dosing control method and system based on the pH value and flow rate of raw water. The method includes: monitoring the dynamic information of raw water at a preset water inlet, and extracting the raw water characteristic data of the raw water within a preset time period, judging whether it is necessary to adjust the lime dosing amount by comparing with thresholds according to the pH deviation value data and the pH change rate data. If it is necessary to adjust the lime dosing amount, obtaining the raw water flow rate characteristic data, and processing by combining the pH deviation value data, the pH change rate data and the raw water flow rate average value data to obtain a theoretical lime dosing adjustment coefficient, obtaining the raw water temperature data, the lime characteristic data and the characteristic data of the lime dosing device, processing to obtain a lime dosing adjustment compensation coefficient, combining and processing with the theoretical lime dosing adjustment coefficient to obtain a lime dosing adjustment correction coefficient, and correspondingly adjusting the lime dosing amount, so as to realize the technology of lime intelligent dosing control based on the pH value and flow rate of raw water.

Description

Technical Field

[0001] The present application relates to the technical field of intelligent lime dosing, and more specifically, to an intelligent lime dosing control method and system based on the pH value and flow rate of raw water. Background Art

[0002] With the development of industry and the increasing requirements for environmental protection, the requirements for the accuracy and intelligence of the water treatment process are increasing day by day.

[0003] In the water treatment process, the pH value and flow rate of raw water are the key factors affecting the water quality treatment effect. The traditional lime dosing method often relies on manual experience or simple timed and quantitative dosing, and cannot accurately adjust according to the real-time changes of the pH value and flow rate of raw water. This may lead to unstable water quality, such as too high or too low pH value, which not only affects the efficiency of subsequent treatment processes, but also may pose a threat to the water supply safety. In addition, unreasonable lime dosing amount will cause waste of resources and increase in treatment costs.

[0004] In view of the above problems, there is an urgent need for effective technical solutions. Summary of the Invention

[0005] The purpose of the present application is to provide an intelligent lime dosing control method and system based on the pH value and flow rate of raw water. By extracting the raw water characteristic data of the raw water within a preset time period, it is judged whether the lime dosing amount needs to be adjusted by comparing the threshold values according to the pH deviation value data and the pH change rate data. By processing the obtained lime dosing adjustment amount compensation coefficient and combining with the theoretical lime dosing adjustment amount coefficient for processing, the lime dosing adjustment amount correction coefficient is obtained, and the lime dosing amount is adjusted accordingly, so as to realize the technology of intelligent lime dosing control based on the pH value and flow rate of raw water.

[0006] The present application also provides an intelligent lime dosing control method based on the pH value and flow rate of raw water, including the following steps:

[0007] Monitor the dynamic information of the raw water at the preset water inlet, and extract the raw water characteristic data of the raw water within a preset time period, including pH mean value data, pH deviation value data, and pH change rate data;

[0008] Judge whether the lime dosing amount needs to be adjusted by comparing the threshold values according to the pH deviation value data and the pH change rate data;

[0009] If the lime dosing amount needs to be adjusted, obtain the raw water flow characteristic data, and process it in combination with the pH deviation value data, the pH change rate data, and the raw water flow mean value data to obtain the theoretical lime dosing adjustment amount coefficient;

[0010] Obtain the raw water temperature data, lime characteristic data, and the characteristic data of the lime dosing device, and process to obtain the compensation coefficient of the lime dosing adjustment amount;

[0011] Process according to the theoretical lime dosing adjustment amount coefficient and the compensation coefficient of the lime dosing adjustment amount to obtain the correction coefficient of the lime dosing adjustment amount, and correspondingly adjust the lime dosing amount.

[0012] Optionally, in the lime intelligent dosing control method based on the raw water pH value and flow rate described in this application, monitor the dynamic information of the raw water at the preset water inlet, and extract the raw water characteristic data within the preset time period, including pH average value data, pH deviation value data, and pH change rate data, including:

[0013] Monitor the dynamic information of the raw water at the preset water inlet, and extract the real-time pH measurement value data corresponding to multiple monitoring time points of the raw water within the preset time period;

[0014] Extract and process the pH average value data and the pH change rate data according to the real-time pH measurement value data;

[0015] Obtain the pH target value data of the raw water, and process in combination with the pH average value data to obtain the pH deviation value data.

[0016] Optionally, in the lime intelligent dosing control method based on the raw water pH value and flow rate described in this application, determine whether to adjust the lime dosing amount by threshold comparison according to the pH deviation value data and the pH change rate data, including:

[0017] Obtain the preset condition threshold set of the raw water, and the preset condition threshold set includes a preset pH deviation threshold and a preset pH change rate threshold;

[0018] Compare the pH deviation value data and the pH change rate data with the two thresholds of the preset condition threshold set correspondingly;

[0019] If both the pH deviation value data and the pH change rate data are less than the corresponding thresholds of the preset condition threshold set, there is no need to adjust the lime dosing amount;

[0020] Otherwise, it is necessary to adjust the lime dosing amount.

[0021] Optionally, in the lime intelligent dosing control method based on the raw water pH value and flow rate described in this application, if it is necessary to adjust the lime dosing amount, obtain the raw water flow characteristic data, and process in combination with the pH deviation value data, the pH change rate data, and the raw water flow average value data to obtain the theoretical lime dosing adjustment amount coefficient, including:

[0022] If it is necessary to adjust the lime dosage, collect the real-time raw water flow data corresponding to multiple monitoring time points of the raw water within a preset time period;

[0023] Perform extraction processing based on the real-time raw water flow data to obtain raw water flow characteristic data, including raw water flow mean data and raw water flow change rate data;

[0024] Based on the pH deviation value data and the pH change rate data, and in combination with the raw water flow mean data and the raw water flow change rate data, perform processing to obtain a theoretical lime dosage adjustment coefficient.

[0025] Optionally, in the lime intelligent dosing control method based on the raw water pH value and flow rate described in this application, the obtaining of the raw water temperature data, lime characteristic data, and the characteristic data of the lime dosing device, and the processing to obtain a lime dosing adjustment compensation coefficient includes:

[0026] Obtain the raw water temperature data, lime characteristic data, and the characteristic data of the lime dosing device;

[0027] The lime characteristic data includes lime purity data and lime activity data;

[0028] The characteristic data of the lime dosing device includes equipment accuracy data and pipeline resistance data;

[0029] Based on the raw water temperature data, lime purity data, and lime activity data, and in combination with the equipment accuracy data and pipeline resistance data, perform processing to obtain a lime dosing adjustment compensation coefficient.

[0030] Optionally, in the lime intelligent dosing control method based on the raw water pH value and flow rate described in this application, the processing based on the theoretical lime dosing adjustment coefficient and the lime dosing adjustment compensation coefficient to obtain a lime dosing adjustment correction coefficient and correspondingly adjust the lime dosage includes:

[0031] Based on the theoretical lime dosing adjustment coefficient and the lime dosing adjustment compensation coefficient, perform processing to obtain a lime dosing adjustment correction coefficient;

[0032] Obtain the original lime dosage of the lime dosing device, and in combination with the lime dosing adjustment correction coefficient, perform processing to obtain the adjusted lime dosage;

[0033] Perform a new lime dosing operation on the raw water according to the adjusted lime dosage.

[0034] In a second aspect, the present application provides a lime intelligent dosing control system based on the pH value and flow rate of raw water. The system includes: a memory and a processor. The memory includes a program of a lime intelligent dosing control method based on the pH value and flow rate of raw water. When the program of the lime intelligent dosing control method based on the pH value and flow rate of raw water is executed by the processor, the following steps are implemented:

[0035] Monitor the dynamic information of the raw water at a preset water inlet, and extract the raw water characteristic data within a preset time period, including pH mean data, pH deviation value data, and pH change rate data;

[0036] Judge whether it is necessary to adjust the lime dosing amount by comparing the pH deviation value data and the pH change rate data with thresholds;

[0037] If it is necessary to adjust the lime dosing amount, obtain the raw water flow characteristic data, and process it in combination with the pH deviation value data, the pH change rate data, and the raw water flow mean data to obtain a theoretical lime dosing adjustment coefficient;

[0038] Obtain the raw water temperature data, the lime characteristic data, and the characteristic data of the lime dosing device, and process them to obtain a lime dosing adjustment compensation coefficient;

[0039] Process according to the theoretical lime dosing adjustment coefficient and the lime dosing adjustment compensation coefficient to obtain a lime dosing adjustment correction coefficient, and correspondingly adjust the lime dosing amount.

[0040] Optionally, in the lime intelligent dosing control system based on the pH value and flow rate of raw water described in the present application, the monitoring of the dynamic information of the raw water at the preset water inlet and the extraction of the raw water characteristic data within a preset time period, including pH mean data, pH deviation value data, and pH change rate data, include:

[0041] Monitor the dynamic information of the raw water at the preset water inlet, and extract the real-time pH measurement value data corresponding to multiple monitoring time points within a preset time period;

[0042] Extract and process the real-time pH measurement value data to obtain pH mean data and pH change rate data;

[0043] Obtain the pH target value data of the raw water, and process it in combination with the pH mean data to obtain pH deviation value data.

[0044] Optionally, in the lime intelligent dosing control system based on the pH value and flow rate of raw water described in the present application, the judging whether it is necessary to adjust the lime dosing amount by comparing the pH deviation value data and the pH change rate data with thresholds includes:

[0045] Obtain the preset condition threshold set of the raw water, where the preset condition threshold set includes a preset pH deviation threshold and a preset pH change rate threshold;

[0046] Compare the pH deviation value data and the pH change rate data with the two thresholds of the preset condition threshold set correspondingly;

[0047] If both the pH deviation value data and the pH change rate data are less than the corresponding thresholds of the preset condition threshold set, there is no need to adjust the lime dosage;

[0048] Otherwise, it is necessary to adjust the lime dosage.

[0049] Optionally, in the lime intelligent dosing control system based on the raw water pH value and flow rate described in this application, if it is necessary to adjust the lime dosage, obtain the raw water flow characteristic data, and process it in combination with the pH deviation value data, the pH change rate data, and the raw water flow mean data to obtain the theoretical lime dosing adjustment coefficient, including:

[0050] If it is necessary to adjust the lime dosage, collect the real-time raw water flow data corresponding to multiple monitoring time points of the raw water within a preset time period;

[0051] Extract and process the real-time raw water flow data to obtain the raw water flow characteristic data, including the raw water flow mean data and the raw water flow change rate data;

[0052] Process the pH deviation value data and the pH change rate data in combination with the raw water flow mean data and the raw water flow change rate data to obtain the theoretical lime dosing adjustment coefficient.

[0053] As can be seen from the above, the lime intelligent dosing control method and system based on the raw water pH value and flow rate provided in this application monitor the dynamic information of the raw water at the preset water inlet, and extract the raw water characteristic data of the raw water within a preset time period, including the pH mean data, the pH deviation value data, and the pH change rate data. According to the pH deviation value data and the pH change rate data, judge whether it is necessary to adjust the lime dosage through threshold comparison. If it is necessary to adjust the lime dosage, obtain the raw water flow characteristic data, and process it in combination with the pH deviation value data, the pH change rate data, and the raw water flow mean data to obtain the theoretical lime dosing adjustment coefficient, obtain the raw water temperature data, the lime characteristic data, and the characteristic data of the lime dosing device, process to obtain the lime dosing adjustment compensation coefficient, process according to the theoretical lime dosing adjustment coefficient and the lime dosing adjustment compensation coefficient to obtain the lime dosing adjustment correction coefficient, and adjust the lime dosage accordingly, so as to realize the technology of lime intelligent dosing control based on the raw water pH value and flow rate.

[0054] Other features and advantages of the present application will be described in the subsequent specification, and in part will become apparent from the specification, or will be understood by implementing the embodiments of the present application. The objectives and other advantages of the present application can be achieved and obtained by the structures specifically pointed out in the written specification and the drawings. Brief Description of the Drawings

[0055] To more clearly illustrate the technical solutions of the embodiments of the present application, the following briefly introduces the drawings required for use in the embodiments of the present application. It should be understood that the following drawings only show certain embodiments of the present application, and thus should not be regarded as limiting the scope. For those of ordinary skill in the art, without creative efforts, other relevant drawings can also be obtained based on these drawings.

[0056] Figure 1 Flowchart of the intelligent lime dosing control method based on the raw water pH value and flow rate provided by the embodiments of the present application;

[0057] Figure 2 Flowchart of determining whether to adjust the lime dosing amount in the intelligent lime dosing control method based on the raw water pH value and flow rate provided by the embodiments of the present application;

[0058] Figure 3 Flowchart of obtaining the theoretical lime dosing adjustment coefficient in the intelligent lime dosing control method based on the raw water pH value and flow rate provided by the embodiments of the present application;

[0059] Figure 4 Flowchart of obtaining the lime dosing adjustment compensation coefficient in the intelligent lime dosing control method based on the raw water pH value and flow rate provided by the embodiments of the present application. Detailed Description of the Embodiments

[0060] The following will clearly and completely describe the technical solutions in the embodiments of the present application with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all of them. The components of the embodiments of the present application usually described and shown in the drawings here can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the present application to be protected, but only represents the selected embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present application.

[0061] It should be noted that similar reference numerals and letters denote similar items in the following drawings. Therefore, once an item is defined in one drawing, it does not need to be further defined and explained in subsequent drawings. At the same time, in the description of the present application, terms such as "first" and "second" are only used for distinguishing descriptions and cannot be construed as indicating or implying relative importance.

[0062] Please refer to Figure 1 , Figure 1 which is a flowchart of a lime intelligent dosing control method based on the raw water pH value and flow rate in some embodiments of the present application. The lime intelligent dosing control method based on the raw water pH value and flow rate is used in terminal devices such as computers and mobile phone terminals. The lime intelligent dosing control method based on the raw water pH value and flow rate includes the following steps:

[0063] S11. Monitor the dynamic information of the raw water at the preset water inlet and extract the raw water characteristic data of the raw water within a preset time period, including pH mean data, pH deviation value data, and pH change rate data;

[0064] S12. Determine whether the lime dosing amount needs to be adjusted by comparing the pH deviation value data and the pH change rate data with thresholds;

[0065] S13. If the lime dosing amount needs to be adjusted, obtain the raw water flow characteristic data, and process it in combination with the pH deviation value data, the pH change rate data, and the raw water flow mean data to obtain the theoretical lime dosing adjustment coefficient;

[0066] S14. Obtain the raw water temperature data, the lime characteristic data, and the characteristic data of the lime dosing device, and process them to obtain the lime dosing adjustment compensation coefficient;

[0067] S15. Process according to the theoretical lime dosing adjustment coefficient and the lime dosing adjustment compensation coefficient to obtain the lime dosing adjustment correction coefficient, and accordingly adjust the lime dosing amount.

[0068] It should be noted that with the development of industry and the increasing requirements for environmental protection, the requirements for the accuracy and intelligence of the water treatment process are increasing day by day. In the water treatment process, the pH value and flow rate of the raw water are the key factors affecting the water quality treatment effect. The traditional lime dosing method often relies on manual experience or simple timed and quantitative dosing, and cannot accurately adjust according to the real-time changes in the pH value and flow rate of the raw water. This may lead to unstable water quality, such as too high or too low pH value, which not only affects the efficiency of the subsequent treatment process, but also may pose a threat to the water supply safety. In addition, unreasonable lime dosing amount will cause waste of resources and increase in treatment costs. To solve these problems, first, monitor the dynamic information of the raw water at the preset water inlet, and extract the raw water characteristic data of the raw water within the preset time period, including pH average value data, pH deviation value data, and pH change rate data. According to the pH deviation value data and the pH change rate data, judge whether the lime dosing amount needs to be adjusted through threshold comparison. If the lime dosing amount needs to be adjusted, obtain the raw water flow characteristic data, and process it in combination with the pH deviation value data, the pH change rate data, and the raw water flow average value data to obtain the theoretical lime dosing adjustment coefficient. Obtain the raw water temperature data, the lime characteristic data, and the characteristic data of the lime dosing device, and process it to obtain the lime dosing adjustment compensation coefficient. Process according to the theoretical lime dosing adjustment coefficient and the lime dosing adjustment compensation coefficient to obtain the lime dosing adjustment correction coefficient, and adjust the lime dosing amount accordingly, so as to realize the technology of intelligent lime dosing control based on the pH value and flow rate of the raw water.

[0069] According to an embodiment of the present invention, the monitoring of the dynamic information of the raw water at the preset water inlet, and the extraction of the raw water characteristic data of the raw water within the preset time period, including pH average value data, pH deviation value data, and pH change rate data, includes:

[0070] Monitor the dynamic information of the raw water at the preset water inlet, and extract the real-time pH measurement value data corresponding to multiple monitoring time points of the raw water within the preset time period;

[0071] Extract and process the pH average value data and the pH change rate data according to the real-time pH measurement value data;

[0072] Obtain the pH target value data of the raw water, and process it in combination with the pH average value data to obtain the pH deviation value data.

[0073] It should be noted that in order to better treat the raw water, it is necessary to first master the dynamic information of the raw water within a certain time period, and obtain the characteristic data related to the pH value of the raw water through statistical calculation, including pH average value data, pH deviation value data, and pH change rate data. These statistical data play a crucial role in the subsequent water treatment work.

[0074] Please refer toFigure 2 , Figure 2 is a flowchart for determining whether to adjust the lime dosage in the intelligent lime dosing control method based on the raw water pH value and flow rate in some embodiments of the present application. According to an embodiment of the present invention, determining whether to adjust the lime dosage by comparing with thresholds based on the pH deviation value data and the pH change rate data includes:

[0075] S21. Obtain a preset condition threshold set for the raw water, where the preset condition threshold set includes a preset pH deviation threshold and a preset pH change rate threshold;

[0076] S22. Compare the pH deviation value data and the pH change rate data with the two thresholds in the preset condition threshold set respectively;

[0077] S23. If both the pH deviation value data and the pH change rate data are less than the corresponding thresholds in the preset condition threshold set, there is no need to adjust the lime dosage;

[0078] S24. Otherwise, it is necessary to adjust the lime dosage.

[0079] It should be noted that for the monitored target raw water, it is necessary to judge whether to adjust the lime dosage by the magnitude of its pH value deviation and the change situation within a certain period of time. If the deviation value is too large or the pH value changes too fast, exceeding the set value, it indicates that the original lime dosage does not meet the requirements and needs to be adjusted.

[0080] Please refer to Figure 3 , Figure 3 is a flowchart for obtaining the theoretical lime dosage adjustment coefficient in the intelligent lime dosing control method based on the raw water pH value and flow rate in some embodiments of the present application. According to an embodiment of the present invention, if it is necessary to adjust the lime dosage, obtain the raw water flow characteristic data, and process it in combination with the pH deviation value data, the pH change rate data, and the raw water flow mean data to obtain the theoretical lime dosage adjustment coefficient, including:

[0081] S31. If it is necessary to adjust the lime dosage, collect the real-time raw water flow data corresponding to multiple monitoring time points of the raw water within a preset time period;

[0082] S32. Extract and process the real-time raw water flow data to obtain the raw water flow characteristic data, including the raw water flow mean data and the raw water flow change rate data;

[0083] S33. Process the pH deviation value data and the pH change rate data in combination with the raw water flow mean data and the raw water flow change rate data to obtain the theoretical lime dosage adjustment coefficient.

[0084] It should be noted that the theoretical value of the lime quantity to be adjusted can be calculated based on the pH value and flow - related data. These data include the pH deviation value, the pH change rate, the average raw water flow rate, and the raw water flow rate change rate data. By processing these data, the theoretical lime dosing adjustment coefficient can be obtained;

[0085] Among them, the calculation formula for the theoretical lime dosing adjustment coefficient is:

[0086] ;

[0087] Among them, is the theoretical lime dosing adjustment coefficient, , are the pH deviation value data and the pH change rate data respectively, , are the average raw water flow rate data and the raw water flow rate change rate data respectively, , , , are preset characteristic coefficients (the characteristic coefficients are obtained by querying through a preset intelligent lime dosing control platform).

[0088] Please refer to Figure 4 , Figure 4 is the flowchart for obtaining the lime dosing adjustment compensation coefficient of the intelligent lime dosing control method based on the raw water pH value and flow rate in some embodiments of the present application. According to the embodiments of the present invention, the steps of obtaining the raw water temperature data, lime characteristic data, and the characteristic data of the lime dosing device, and processing to obtain the lime dosing adjustment compensation coefficient include:

[0089] S41. Obtain the raw water temperature data, lime characteristic data, and the characteristic data of the lime dosing device;

[0090] S42. The lime characteristic data includes lime purity data and lime activity data;

[0091] S43. The characteristic data of the lime dosing device includes equipment accuracy data and pipeline resistance data;

[0092] S44. Process according to the raw water temperature data, lime purity data, and lime activity data, and combine the equipment accuracy data and pipeline resistance data to obtain the lime dosing adjustment compensation coefficient.

[0093] It should be noted that due to factors such as water temperature, the characteristics of lime itself, equipment accuracy, and pipeline resistance, there may be a certain deviation between the actual dosage and the theoretically calculated value. It is necessary to accurately calculate this part of the deviation so that the final lime dosage can be accurate. Among them, the activity of lime refers to its ability to react with acidic substances;

[0094] Among them, the calculation formula for the compensation coefficient of the lime dosage adjustment amount is:

[0095] ;

[0096] Among them, is the compensation coefficient of the lime dosage adjustment amount, , , , , are respectively the raw water temperature data, lime purity data, lime activity data, equipment accuracy data, and pipeline resistance data, , , are preset characteristic coefficients (the characteristic coefficients are obtained by querying through a preset intelligent lime dosing control platform).

[0097] According to an embodiment of the present invention, the processing according to the theoretical lime dosing adjustment coefficient and the compensation coefficient of the lime dosing adjustment amount to obtain a corrected coefficient of the lime dosing adjustment amount and correspondingly adjust the lime dosing amount includes:

[0098] Processing according to the theoretical lime dosing adjustment coefficient and the compensation coefficient of the lime dosing adjustment amount to obtain a corrected coefficient of the lime dosing adjustment amount;

[0099] Obtain the original lime dosing amount of the lime dosing device, and process it in combination with the corrected coefficient of the lime dosing adjustment amount to obtain the adjusted lime dosing amount;

[0100] Perform a new lime dosing operation on the raw water according to the adjusted lime dosing amount.

[0101] It should be noted that it is necessary to further process the obtained theoretical lime dosing adjustment coefficient and the compensation coefficient of the lime dosing adjustment amount to obtain the final corrected coefficient of the lime dosing adjustment amount, and then combine it with the original lime dosing amount of the lime dosing device to calculate the adjusted lime dosing amount, and perform a new lime dosing operation on the raw water according to this amount;

[0102] Among them, the calculation formula for the corrected coefficient of the lime dosing adjustment amount is:

[0103] ;

[0104] Among them, is the correction coefficient of lime dosage adjustment, , are the theoretical lime dosage adjustment coefficient and the lime dosage adjustment compensation coefficient respectively, is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset intelligent lime dosing control platform).

[0105] Among them, the calculation formula of the adjusted lime dosage is:

[0106] ;

[0107] Among them, is the adjusted lime dosage, is the original lime dosage, is the correction coefficient of lime dosage adjustment, is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset intelligent lime dosing control platform).

[0108] According to the embodiment of the present invention, it further includes:

[0109] Obtain the actual lime dosage corresponding to the completion of the new lime dosing work;

[0110] Process according to the actual lime dosage in combination with the adjusted lime dosage to obtain the dosage deviation ratio data;

[0111] Compare the dosage deviation ratio data with the preset dosage deviation ratio threshold to obtain a comparison result;

[0112] If the dosage deviation ratio data exceeds the preset value, detect the fault condition of the lime dosing device and perform corresponding maintenance work.

[0113] It should be noted that in the actual operation process, the actual lime dosage of the lime dosing device may not be exactly the same as the calculated lime dosage. If the actual dosage is continuously higher or lower than the calculated dosage, it may be caused by metering pump failure, pipeline blockage or other factors.

[0114] According to the embodiment of the present invention, it further includes:

[0115] Obtain the adjusted pH value data corresponding to the completion of the new lime dosing work, and process it in combination with the pH target value data and the pH deviation value data to obtain the pH adjustment response degree index;

[0116] Compare the pH adjustment response degree index with the preset pH adjustment response threshold to obtain a comparison result;

[0117] If the comparison result is less than the preset value, optimize the lime dosing strategy, including adjusting the mixing time of lime and raw water and the content of active ingredients in lime;

[0118] The calculation formula of the pH adjustment responsiveness index is:

[0119] ;

[0120] Wherein, is the pH adjustment responsiveness index, , , are the adjusted pH value data, pH target value data, and pH deviation value data respectively, is the preset characteristic coefficient (the characteristic coefficient is obtained by querying through the preset intelligent lime dosing control platform).

[0121] It should be noted that observing the response of the pH value of the raw water after adding lime can help evaluate the effect of lime dosing. If the pH value does not change as expected after adding lime, it may be due to problems such as lime quality or uneven mixing. Therefore, it is necessary to obtain the adjusted pH value data corresponding to the completion of the new lime dosing work, and process it in combination with the pH target value data and pH deviation value data to obtain the pH adjustment responsiveness index, and then compare it with the preset pH adjustment responsiveness threshold to obtain the comparison result. If the comparison result is less than the preset value, optimize the lime dosing strategy, including adjusting the mixing time of lime and raw water and the content of active ingredients in lime.

[0122] In the second aspect, the present invention also discloses an intelligent lime dosing control system based on the pH value and flow rate of raw water, including a memory and a processor. The memory includes an intelligent lime dosing control method program based on the pH value and flow rate of raw water. When the intelligent lime dosing control method program based on the pH value and flow rate of raw water is executed by the processor, the following steps are implemented:

[0123] Monitor the dynamic information of the raw water at the preset inlet, and extract the raw water characteristic data within the preset time period, including pH mean data, pH deviation value data, and pH change rate data;

[0124] Judge whether it is necessary to adjust the lime dosing amount according to the pH deviation value data and pH change rate data through threshold comparison;

[0125] If it is necessary to adjust the lime dosing amount, obtain the raw water flow characteristic data, and process it in combination with the pH deviation value data, pH change rate data, and raw water flow mean data to obtain the theoretical lime dosing adjustment coefficient;

[0126] Obtain the raw water temperature data, lime characteristic data, and the characteristic data of the lime dosing device, and process to obtain the compensation coefficient for the lime dosing adjustment amount;

[0127] Process according to the theoretical lime dosing adjustment amount coefficient and the compensation coefficient for the lime dosing adjustment amount to obtain the corrected coefficient for the lime dosing adjustment amount, and accordingly adjust the lime dosing amount.

[0128] It should be noted that with the development of industry and the increasing requirements for environmental protection, the requirements for the accuracy and intelligence level of the water treatment process are increasing day by day. In the water treatment process, the pH value and flow rate of the raw water are the key factors affecting the water quality treatment effect. The traditional lime dosing method often relies on manual experience or simple fixed-time and fixed-quantity dosing, and cannot accurately adjust according to the real-time changes of the pH value and flow rate of the raw water. This may lead to unstable water quality, such as too high or too low pH value, which not only affects the efficiency of the subsequent treatment process but also may pose a threat to the water supply safety. In addition, unreasonable lime dosing amount will cause waste of resources and increase the treatment cost. To solve the above problems, first, monitor the dynamic information of the raw water at the preset water inlet, and extract the raw water characteristic data of the raw water within the preset time period, including pH average value data, pH deviation value data, and pH change rate data. Judge whether it is necessary to adjust the lime dosing amount by comparing the threshold according to the pH deviation value data and the pH change rate data. If it is necessary to adjust the lime dosing amount, obtain the raw water flow characteristic data, and process in combination with the pH deviation value data, the pH change rate data, and the raw water flow average value data to obtain the theoretical lime dosing adjustment amount coefficient. Obtain the raw water temperature data, lime characteristic data, and the characteristic data of the lime dosing device, and process to obtain the compensation coefficient for the lime dosing adjustment amount. Process according to the theoretical lime dosing adjustment amount coefficient and the compensation coefficient for the lime dosing adjustment amount to obtain the corrected coefficient for the lime dosing adjustment amount, and accordingly adjust the lime dosing amount, so as to realize the technology of intelligent lime dosing control based on the pH value and flow rate of the raw water.

[0129] According to the embodiment of the present invention, the monitoring of the dynamic information of the raw water at the preset water inlet, and the extraction of the raw water characteristic data of the raw water within the preset time period, including pH average value data, pH deviation value data, and pH change rate data, include:

[0130] Monitor the dynamic information of the raw water at the preset water inlet, and extract the real-time pH measurement value data corresponding to multiple monitoring time points of the raw water within the preset time period;

[0131] Extract and process according to the real-time pH measurement value data to obtain the pH average value data and the pH change rate data;

[0132] Obtain the pH target value data of the raw water, and process in combination with the pH average value data to obtain the pH deviation value data.

[0133] It should be noted that in order to better treat raw water, it is necessary to first master the dynamic information of the raw water within a certain period of time, and obtain the characteristic data related to the pH value of the raw water through statistical calculations, including the pH average value data, the pH deviation value data, and the pH change rate data. These statistical data play a crucial role in the subsequent water treatment work.

[0134] According to an embodiment of the present invention, determining whether to adjust the lime dosage by comparing with thresholds based on the pH deviation value data and the pH change rate data includes:

[0135] Obtaining a preset condition threshold set of the raw water, where the preset condition threshold set includes a preset pH deviation threshold and a preset pH change rate threshold;

[0136] Comparing the pH deviation value data and the pH change rate data with the two thresholds of the preset condition threshold set correspondingly;

[0137] If both the pH deviation value data and the pH change rate data are less than the corresponding thresholds of the preset condition threshold set, there is no need to adjust the lime dosage;

[0138] Otherwise, it is necessary to adjust the lime dosage.

[0139] It should be noted that for the monitored target raw water, it is necessary to judge whether to adjust the lime dosage based on the magnitude of its pH value deviation and the change situation within a certain period of time. If the deviation value is too large or the pH value changes too fast and exceeds the set value, it indicates that the original lime dosage does not meet the requirements and it is necessary to adjust the lime dosage.

[0140] According to an embodiment of the present invention, if it is necessary to adjust the lime dosage, obtaining the raw water flow characteristic data, and processing them in combination with the pH deviation value data, the pH change rate data, and the raw water flow average value data to obtain the theoretical lime dosage adjustment coefficient includes:

[0141] If it is necessary to adjust the lime dosage, collect the real-time raw water flow data corresponding to multiple monitoring time points of the raw water within a preset time period;

[0142] Extract and process the real-time raw water flow data to obtain the raw water flow characteristic data, including the raw water flow average value data and the raw water flow change rate data;

[0143] Process the pH deviation value data and the pH change rate data in combination with the raw water flow average value data and the raw water flow change rate data to obtain the theoretical lime dosage adjustment coefficient.

[0144] It should be noted that the theoretical value of the lime dosage to be adjusted can be calculated based on the pH value and flow - related data, including the pH deviation value, the pH change rate, the average raw water flow rate, and the raw water flow rate change rate data. By processing these data, the theoretical lime dosage adjustment coefficient can be obtained;

[0145] Among them, the calculation formula for the theoretical lime dosage adjustment coefficient is:

[0146] ;

[0147] Among them, is the theoretical lime dosage adjustment coefficient, 、 are the pH deviation value data and the pH change rate data respectively, 、 are the average raw water flow rate data and the raw water flow rate change rate data respectively, 、 、 、 、

[0148]

[0149] According to the embodiments of the present invention, the obtaining of the raw water temperature data, the lime characteristic data, and the characteristic data of the lime dosing device, and processing to obtain the lime dosing adjustment compensation coefficient includes:Obtain the raw water temperature data, the lime characteristic data, and the characteristic data of the lime dosing device;

[0150] The lime characteristic data includes lime purity data and lime activity data;

[0151] The characteristic data of the lime dosing device includes equipment accuracy data and pipeline resistance data;

[0152] According to the raw water temperature data, the lime purity data, and the lime activity data, and combining with the equipment accuracy data and the pipeline resistance data for processing, the lime dosing adjustment compensation coefficient is obtained.

[0153] It should be noted that due to the influence of factors such as water temperature, the characteristics of lime itself, equipment accuracy, and pipeline resistance, the actual dosing amount may deviate from the theoretical calculated value to a certain extent. It is necessary to accurately calculate this part of the deviation amount so that the final lime dosing amount can be accurate. Among them, the activity of lime refers to its ability to react with acidic substances;

[0154] Among them, the calculation formula for the lime dosing adjustment compensation coefficient is:

[0155] ;

[0156] Among them, is the compensation coefficient for the adjustment amount of lime addition, , , , , are the raw water temperature data, lime purity data, lime activity data, equipment accuracy data, and pipeline resistance data respectively, , , are preset characteristic coefficients (the characteristic coefficients are obtained by querying the preset intelligent lime dosing control platform).

[0157] According to the embodiment of the present invention, processing according to the theoretical lime dosing adjustment coefficient and the lime dosing adjustment compensation coefficient to obtain a lime dosing adjustment correction coefficient, and correspondingly adjusting the lime dosing amount, includes:

[0158] Processing according to the theoretical lime dosing adjustment coefficient and the lime dosing adjustment compensation coefficient to obtain a lime dosing adjustment correction coefficient;

[0159] Obtaining the original lime dosing amount of the lime dosing device, and processing in combination with the lime dosing adjustment correction coefficient to obtain the adjusted lime dosing amount;

[0160] Performing a new lime dosing operation on the raw water according to the adjusted lime dosing amount.

[0161] It should be noted that the obtained theoretical lime dosing adjustment coefficient and the lime dosing adjustment compensation coefficient need to be further processed to obtain the final lime dosing adjustment correction coefficient, and then combined with the original lime dosing amount of the lime dosing device, calculate the adjusted lime dosing amount, and perform a new lime dosing operation on the raw water according to this amount;

[0162] Among them, the calculation formula for the lime dosing adjustment correction coefficient is:

[0163] ;

[0164] Among them, is the lime dosing adjustment correction coefficient, , are the theoretical lime dosing adjustment coefficient and the lime dosing adjustment compensation coefficient respectively, is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset intelligent lime dosing control platform).

[0165] Among them, the calculation formula for the adjusted lime dosing amount is:

[0166] ;

[0167] Among them, is the adjusted lime dosage, is the original lime dosage, is the correction coefficient of lime dosage adjustment, is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset intelligent lime dosing control platform).

[0168] According to an embodiment of the present invention, it further includes:

[0169] Obtain the actual lime dosage corresponding to the completion of the new lime dosing operation;

[0170] Process according to the actual lime dosage in combination with the adjusted lime dosage to obtain the dosage deviation ratio data;

[0171] Compare the dosage deviation ratio data with the preset dosage deviation ratio threshold to obtain a comparison result;

[0172] If the dosage deviation ratio data exceeds the preset value, detect the fault condition of the lime dosing device and perform corresponding maintenance work.

[0173] It should be noted that in the actual operation process, the actual lime dosage of the lime dosing device may not be exactly the same as the calculated lime dosage. If the actual dosage is continuously higher or lower than the calculated dosage, it may be caused by metering pump failure, pipeline blockage or other factors.

[0174] According to an embodiment of the present invention, it further includes:

[0175] Obtain the adjusted pH value data corresponding to the completion of the new lime dosing operation, and process it in combination with the pH target value data and the pH deviation value data to obtain the pH adjustment responsiveness index;

[0176] Compare the pH adjustment responsiveness index with the preset pH adjustment responsiveness threshold to obtain a comparison result;

[0177] If the comparison result is less than the preset value, optimize the lime dosing strategy, including adjusting the mixing time of lime and raw water and the active ingredient content of lime;

[0178] The calculation formula of the pH adjustment responsiveness index is:

[0179] ;

[0180] Among them, is the pH adjustment responsiveness index, , , They are the adjusted pH value data, the pH target value data, and the pH deviation value data, respectively. It is a preset characteristic coefficient (the characteristic coefficient is obtained by querying through a preset intelligent lime dosing control platform).

[0181] It should be noted that observing the response of the raw water pH value after adding lime can help evaluate the effect of lime dosing. If the pH value does not change as expected after adding lime, it may be due to reasons such as lime quality problems or uneven mixing. Therefore, it is necessary to obtain the adjusted pH value data corresponding to the completion of the new lime dosing work, and process it in combination with the pH target value data and the pH deviation value data to obtain the pH adjustment response index, and then compare it with the preset pH adjustment response threshold to obtain the comparison result. If the comparison result is less than the preset value, optimize the lime dosing strategy, including adjusting the mixing time of lime and raw water and the content of the active ingredient of lime.

[0182] The intelligent lime dosing control method and system based on the raw water pH value and flow rate disclosed in the present invention monitor the dynamic information of the raw water at a preset water inlet and extract the raw water characteristic data within a preset time period, including the pH average value data, the pH deviation value data, and the pH change rate data. According to the pH deviation value data and the pH change rate data, it is judged whether the lime dosing amount needs to be adjusted through threshold comparison. If the lime dosing amount needs to be adjusted, obtain the raw water flow characteristic data, and process it in combination with the pH deviation value data, the pH change rate data, and the raw water flow average value data to obtain the theoretical lime dosing adjustment coefficient. Obtain the raw water temperature data, the lime characteristic data, and the characteristic data of the lime dosing device, and process them to obtain the lime dosing adjustment compensation coefficient. According to the theoretical lime dosing adjustment coefficient and the lime dosing adjustment compensation coefficient, process them to obtain the lime dosing adjustment correction coefficient, and correspondingly adjust the lime dosing amount, so as to realize the technology of intelligent lime dosing control based on the raw water pH value and flow rate.

[0183] In several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are only illustrative. For example, the division of the units is only a logical function division. In actual implementation, there may be other division methods, such as: multiple units or components can be combined, or can be integrated into another system, or some features can be ignored, or not executed. In addition, the coupling, direct coupling, or communication connection between the components shown or discussed with each other can be through some interfaces, and the indirect coupling or communication connection of the devices or units can be electrical, mechanical, or other forms.

[0184] The units described above as separate components may or may not be physically separated, and the components shown as units may or may not be physical units; they may be located in one place or distributed across multiple network units; some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0185] In addition, in each embodiment of the present invention, each functional unit may be fully integrated into one processing unit, or each unit may be separately regarded as one unit, or two or more units may be integrated into one unit; the above-mentioned integrated units may be implemented in the form of hardware, or in the form of a combination of hardware and software functional units.

[0186] Those of ordinary skill in the art can understand that all or part of the steps of implementing the above method embodiments can be completed by hardware related to program instructions. The foregoing program can be stored in a readable storage medium. When the program is executed, it performs the steps included in the above method embodiments; and the foregoing storage medium includes: removable storage devices, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), magnetic disks or optical discs and other various media that can store program codes.

[0187] Alternatively, if the above-mentioned integrated units of the present invention are implemented in the form of software functional modules and sold or used as independent products, they can also be stored in a readable storage medium. Based on such an understanding, the technical solution of the embodiments of the present invention, in essence, or the part that makes a contribution to the prior art, can be embodied in the form of a software product. The software product is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the methods described in the various embodiments of the present invention. And the foregoing storage medium includes: removable storage devices, ROM, RAM, magnetic disks or optical discs and other various media that can store program codes.

Claims

1. A lime intelligent dosing control method based on the pH value and flow rate of raw water, characterized in that It includes the following steps: Monitor the dynamic information of the raw water at the preset water inlet, and extract the raw water characteristic data of the raw water within a preset time period, including pH average value data, pH deviation value data, and pH change rate data; Judge whether it is necessary to adjust the lime dosage according to the pH deviation value data and the pH change rate data through threshold comparison; If it is necessary to adjust the lime dosage, obtain the raw water flow characteristic data, and process it in combination with the pH deviation value data, the pH change rate data, and the raw water flow average value data to obtain the theoretical lime dosage adjustment coefficient; Obtain the raw water temperature data, the lime characteristic data, and the characteristic data of the lime dosing device, and process them to obtain the lime dosing adjustment compensation coefficient; Process according to the theoretical lime dosage adjustment coefficient and the lime dosing adjustment compensation coefficient to obtain the lime dosing adjustment correction coefficient, and adjust the lime dosage accordingly; The step of, if it is necessary to adjust the lime dosage, obtaining the raw water flow characteristic data, and processing it in combination with the pH deviation value data, the pH change rate data, and the raw water flow average value data to obtain the theoretical lime dosage adjustment coefficient, includes: If it is necessary to adjust the lime dosage, collect the real-time raw water flow data corresponding to multiple monitoring time points of the raw water within a preset time period; Extract and process according to the real-time raw water flow data to obtain the raw water flow characteristic data, including the raw water flow average value data and the raw water flow change rate data; Process according to the pH deviation value data and the pH change rate data, and in combination with the raw water flow average value data and the raw water flow change rate data to obtain the theoretical lime dosage adjustment coefficient; The step of processing according to the theoretical lime dosage adjustment coefficient and the lime dosing adjustment compensation coefficient to obtain the lime dosing adjustment correction coefficient, and adjusting the lime dosage accordingly, includes: Process according to the theoretical lime dosage adjustment coefficient and the lime dosing adjustment compensation coefficient to obtain the lime dosing adjustment correction coefficient; Obtain the original lime dosage of the lime dosing device, and process it in combination with the lime dosing adjustment correction coefficient to obtain the adjusted lime dosage; Perform a new lime dosing operation on the raw water according to the adjusted lime dosage; Obtain the actual lime dosage corresponding to after the new lime dosing operation is completed; Process according to the actual lime dosage in combination with the adjusted lime dosage to obtain the dosage deviation ratio data; Compare the dosage deviation ratio data with the preset dosage deviation ratio threshold to obtain a comparison result; If the dosage deviation ratio data exceeds the preset value, detect the fault condition of the lime dosing device and perform corresponding maintenance work.

2. The intelligent lime dosing control method based on the raw water pH value and flow rate according to claim 1, wherein The step of monitoring the dynamic information of the raw water at the preset water inlet, and extracting the raw water characteristic data of the raw water within a preset time period, including pH average value data, pH deviation value data, and pH change rate data, includes: Monitor the dynamic information of the raw water at the preset water inlet, and extract the real-time pH measurement value data corresponding to multiple monitoring time points of the raw water within a preset time period; Extract and process according to the real-time pH measurement value data to obtain the pH average value data and the pH change rate data; Obtain the pH target value data of the raw water, and process it in combination with the pH average value data to obtain the pH deviation value data.

3. The intelligent lime dosing control method based on the raw water pH value and flow rate according to claim 2, wherein, Judging whether the lime dosage needs to be adjusted by threshold comparison according to the pH deviation value data and the pH change rate data includes: Obtain the preset condition threshold set of the raw water, and the preset condition threshold set includes a preset pH deviation threshold and a preset pH change rate threshold; Compare the pH deviation value data and the pH change rate data with the two thresholds of the preset condition threshold set correspondingly; If both the pH deviation value data and the pH change rate data are less than the corresponding thresholds of the preset condition threshold set, the lime dosage does not need to be adjusted; Otherwise, the lime dosage needs to be adjusted.

4. The intelligent lime dosing control method based on the raw water pH value and flow rate according to claim 3, wherein Obtaining the raw water temperature data, lime characteristic data and the characteristic data of the lime dosing device, and processing to obtain the lime dosing adjustment amount compensation coefficient includes: Obtain the raw water temperature data, lime characteristic data and the characteristic data of the lime dosing device; The lime characteristic data includes lime purity data and lime activity data; The characteristic data of the lime dosing device includes equipment precision data and pipeline resistance data; Process according to the raw water temperature data, lime purity data and lime activity data, and combine the equipment precision data and pipeline resistance data to obtain the lime dosing adjustment amount compensation coefficient.

5. The intelligent lime dosing control system based on the pH value and flow rate of raw water is characterized in that The system includes: a memory and a processor. The memory includes a program of the intelligent lime dosing control method based on the raw water pH value and flow rate. When the program of the intelligent lime dosing control method based on the raw water pH value and flow rate is executed by the processor, the following steps are implemented: Monitor the dynamic information of the raw water at the preset water inlet, and extract the raw water characteristic data within the preset time period, including pH average value data, pH deviation value data and pH change rate data; Judge whether the lime dosage needs to be adjusted by threshold comparison according to the pH deviation value data and the pH change rate data; If the lime dosage needs to be adjusted, obtain the raw water flow rate characteristic data, and process it in combination with the pH deviation value data, the pH change rate data and the raw water flow rate average value data to obtain the theoretical lime dosing adjustment amount coefficient; Obtain the raw water temperature data, lime characteristic data and the characteristic data of the lime dosing device, and process to obtain the lime dosing adjustment amount compensation coefficient; Process according to the theoretical lime dosing adjustment amount coefficient and the lime dosing adjustment amount compensation coefficient to obtain the lime dosing adjustment amount correction coefficient, and adjust the lime dosage accordingly; If the lime dosage needs to be adjusted, obtain the raw water flow rate characteristic data, and process it in combination with the pH deviation value data, the pH change rate data and the raw water flow rate average value data to obtain the theoretical lime dosing adjustment amount coefficient, including: If the lime dosage needs to be adjusted, collect the real-time raw water flow rate data corresponding to multiple monitoring time points within the preset time period; Extract and process according to the real-time raw water flow rate data to obtain the raw water flow rate characteristic data, including the raw water flow rate average value data and the raw water flow rate change rate data; Based on the pH deviation value data and the pH change rate data, combined with the raw water flow rate mean data and the raw water flow rate change rate data, perform processing to obtain the theoretical lime dosing adjustment coefficient; Perform processing based on the theoretical lime dosing adjustment coefficient and the lime dosing adjustment compensation coefficient to obtain the lime dosing adjustment correction coefficient, and correspondingly adjust the lime dosing amount, including: Perform processing based on the theoretical lime dosing adjustment coefficient and the lime dosing adjustment compensation coefficient to obtain the lime dosing adjustment correction coefficient; Obtain the original lime dosing amount of the lime dosing device, and perform processing in combination with the lime dosing adjustment correction coefficient to obtain the adjusted lime dosing amount; Perform a new lime dosing operation on the raw water according to the adjusted lime dosing amount; Obtain the corresponding actual lime dosing amount after the new lime dosing operation is completed; Perform processing in combination with the adjusted lime dosing amount according to the actual lime dosing amount to obtain the dosing amount deviation ratio data; Compare the dosing amount deviation ratio data with the preset dosing amount deviation ratio threshold to obtain a comparison result; If the dosing amount deviation ratio data exceeds the preset value, detect the fault condition of the lime dosing device and perform corresponding maintenance work.

6. The intelligent lime dosing control system based on the raw water pH value and flow rate according to claim 5, wherein Monitor the dynamic information of the raw water at the preset water inlet, and extract the raw water characteristic data within the preset time period, including pH mean data, pH deviation value data, and pH change rate data, including: Monitor the dynamic information of the raw water at the preset water inlet, and extract the real-time pH measurement value data corresponding to multiple monitoring time points of the raw water within the preset time period; Perform extraction processing according to the real-time pH measurement value data to obtain pH mean data and pH change rate data; Obtain the pH target value data of the raw water, and perform processing in combination with the pH mean data to obtain pH deviation value data.

7. The intelligent lime dosing control system based on the raw water pH value and flow rate according to claim 6, characterized in that Based on the pH deviation value data and the pH change rate data, determine whether to adjust the lime dosing amount by threshold comparison, including: Obtain the preset condition threshold set of the raw water, and the preset condition threshold set includes a preset pH deviation threshold and a preset pH change rate threshold; Compare the pH deviation value data and the pH change rate data with the two thresholds of the preset condition threshold set correspondingly; If both the pH deviation value data and the pH change rate data are less than the corresponding thresholds of the preset condition threshold set, there is no need to adjust the lime dosing amount; Otherwise, the lime dosing amount needs to be adjusted.

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