Intelligent lime adding control method and system based on pH value and flow of raw water

Abstract

The invention provides an intelligent lime adding control method and system based on the pH value and flow of raw water. The method comprises the following steps: monitoring dynamic information of raw water at a preset water inlet, extracting raw water characteristic data of the raw water in a preset time period, judging whether the lime adding amount needs to be adjusted or not through threshold comparison according to pH deviation value data and pH change rate data, if the lime adding amount needs to be adjusted, obtaining raw water flow characteristic data, and if the lime adding amount needs to be adjusted, determining whether the lime adding amount needs to be adjusted. Processing by combining pH deviation value data, pH change rate data and raw water flow mean value data to obtain a theoretical lime feeding adjustment amount coefficient, raw water temperature data, lime characteristic data and characteristic data of a lime feeding device, processing to obtain a lime feeding adjustment amount compensation coefficient, and processing by combining the theoretical lime feeding adjustment amount coefficient to obtain a lime feeding adjustment amount compensation coefficient. And a lime feeding adjustment amount correction coefficient is obtained, and the lime feeding amount is correspondingly adjusted, so that the intelligent lime feeding control technology based on the pH value and the flow of the raw water is realized.

Description

Technical Field

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

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

[0003] In the water treatment process, the pH value and flow rate of raw water are key factors affecting the water quality treatment effect. The traditional lime addition method often relies on manual experience or simple timed and quantitative addition, which cannot be accurately adjusted according to the real-time pH value and flow rate changes 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 threaten water supply safety. In addition, unreasonable lime addition will cause waste of resources and increase treatment costs.

[0004] In view of the above problems, effective technical solutions are urgently needed. Summary of the invention

[0005] The purpose of the present application is to provide a method and system for intelligent lime addition control based on raw water pH value and flow rate. The method can extract raw water characteristic data within a preset time period, judge whether the lime addition amount needs to be adjusted through threshold comparison based on pH deviation value data and pH change rate data, obtain the lime addition adjustment amount compensation coefficient through processing, combine it with the theoretical lime addition adjustment amount coefficient for processing, obtain the lime addition adjustment amount correction coefficient, and adjust the lime addition amount accordingly, thereby realizing the technology of intelligent lime addition control based on raw water pH value and flow rate.

[0006] The present application also provides a method for intelligent lime dosing control based on raw water pH value and flow rate, comprising the following steps: Monitor the dynamic information of raw water at a preset water inlet, and extract raw water characteristic data within a preset time period, including pH mean data, pH deviation data, and pH change rate data; According to the pH deviation value data and the pH change rate data, judging whether the amount of lime added needs to be adjusted by comparing the threshold value; If the lime dosage needs to be adjusted, the raw water flow characteristic data is obtained, and the pH deviation value data, pH change rate data and raw water flow mean value data are processed to obtain the theoretical lime dosage adjustment coefficient; Obtaining raw water temperature data, lime characteristic data and characteristic data of a lime dosing device, and processing to obtain a lime dosing adjustment amount compensation coefficient; The theoretical lime dosage adjustment coefficient and the lime dosage adjustment compensation coefficient are processed to obtain the lime dosage adjustment correction coefficient, and the lime dosage is adjusted accordingly.

[0007] Optionally, in the method for intelligent lime dosing control based on raw water pH value and flow rate described in the present application, the monitoring of raw water dynamic information at a preset water inlet and the extraction of raw water characteristic data of the raw water within a preset time period, including pH mean data, pH deviation data and pH change rate data, include: Monitor the dynamic information of raw water at a preset water inlet, and extract real-time pH measurement data corresponding to multiple monitoring time points in a preset time period; Extracting and processing the real-time pH measurement data to obtain pH mean data and pH change rate data; The pH target value data of the raw water is obtained, and the pH mean value data is processed to obtain pH deviation value data.

[0008] Optionally, in the lime intelligent dosing control method based on raw water pH value and flow rate described in the present application, judging whether the lime dosage needs to be adjusted by threshold comparison based on the pH deviation value data and the pH change rate data includes: Acquire a preset condition threshold set of the raw water, wherein 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 two thresholds of the preset condition threshold set; If the pH deviation value data and the pH change rate data are both less than the corresponding threshold values ​​of the preset condition threshold value set, there is no need to adjust the lime dosage; Otherwise, the amount of lime added needs to be adjusted.

[0009] Optionally, in the lime intelligent dosing control method based on raw water pH value and flow rate described in the present application, if the lime dosage needs to be adjusted, the raw water flow characteristic data is obtained, and the pH deviation value data, pH change rate data and raw water flow mean data are processed to obtain a theoretical lime dosage adjustment coefficient, including: If the amount of lime added needs to be adjusted, collect the real-time raw water flow data corresponding to multiple monitoring time points within the preset time period; Extracting and processing 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; The pH deviation value data and the pH change rate data are processed in combination with the raw water flow mean value data and the raw water flow change rate data to obtain a theoretical lime dosage adjustment coefficient.

[0010] Optionally, in the lime intelligent dosing control method based on raw water pH value and flow rate described in the present application, the step of acquiring raw water temperature data, lime characteristic data and characteristic data of a lime dosing device, and processing to obtain a lime dosing adjustment amount compensation coefficient includes: Obtaining raw water temperature data, lime characteristic data, and 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 accuracy data and pipeline resistance data; The raw water temperature data, lime purity data and lime activity data are processed in combination with the equipment accuracy data and pipeline resistance data to obtain a lime dosage adjustment amount compensation coefficient.

[0011] Optionally, in the method for intelligent lime addition control based on raw water pH value and flow rate described in the present application, the processing is performed according to the theoretical lime addition adjustment coefficient and the lime addition adjustment compensation coefficient to obtain the lime addition adjustment correction coefficient, and the lime addition amount is adjusted accordingly, including: Processing is performed according to the theoretical lime dosage adjustment coefficient and the lime dosage adjustment compensation coefficient to obtain a lime dosage adjustment correction coefficient; The original lime dosage of the lime dosing device is obtained, and the original lime dosage is processed in combination with the lime dosage adjustment correction coefficient to obtain the adjusted lime dosage; A new lime addition operation is performed on the raw water according to the adjusted lime addition amount.

[0012] In a second aspect, the present application provides a lime intelligent dosing control system based on raw water pH value and flow rate, the system comprising: a memory and a processor, the memory comprising a program of a lime intelligent dosing control method based on raw water pH value and flow rate, the program of the lime intelligent dosing control method based on raw water pH value and flow rate being executed by the processor to implement the following steps: Monitor the dynamic information of raw water at a preset water inlet, and extract raw water characteristic data within a preset time period, including pH mean data, pH deviation data, and pH change rate data; According to the pH deviation value data and the pH change rate data, judging whether the amount of lime added needs to be adjusted by comparing the threshold value; If the lime dosage needs to be adjusted, the raw water flow characteristic data is obtained, and the pH deviation value data, pH change rate data and raw water flow mean value data are processed to obtain the theoretical lime dosage adjustment coefficient; Obtaining raw water temperature data, lime characteristic data and characteristic data of a lime dosing device, and processing to obtain a lime dosing adjustment amount compensation coefficient; The theoretical lime dosage adjustment coefficient and the lime dosage adjustment compensation coefficient are processed to obtain the lime dosage adjustment correction coefficient, and the lime dosage is adjusted accordingly.

[0013] Optionally, in the lime intelligent dosing control system based on raw water pH value and flow rate described in the present application, the monitoring of raw water dynamic information at a preset water inlet and the extraction of raw water characteristic data of the raw water within a preset time period, including pH mean data, pH deviation data and pH change rate data, include: Monitor the dynamic information of raw water at a preset water inlet, and extract real-time pH measurement data corresponding to multiple monitoring time points in a preset time period; Extracting and processing the real-time pH measurement data to obtain pH mean data and pH change rate data; The pH target value data of the raw water is obtained, and the pH mean value data is processed to obtain pH deviation value data.

[0014] Optionally, in the lime intelligent dosing control system based on raw water pH value and flow rate described in the present application, 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: Acquire a preset condition threshold set of the raw water, wherein 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 two thresholds of the preset condition threshold set; If the pH deviation value data and the pH change rate data are both less than the corresponding threshold values ​​of the preset condition threshold value set, there is no need to adjust the lime dosage; Otherwise, the amount of lime added needs to be adjusted.

[0015] Optionally, in the lime intelligent dosing control system based on raw water pH value and flow rate described in the present application, if the lime dosage needs to be adjusted, the raw water flow characteristic data is obtained, and the pH deviation value data, pH change rate data and raw water flow mean data are processed to obtain a theoretical lime dosage adjustment coefficient, including: If the amount of lime added needs to be adjusted, collect the real-time raw water flow data corresponding to multiple monitoring time points within the preset time period; Extracting and processing 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; The pH deviation value data and the pH change rate data are processed in combination with the raw water flow mean value data and the raw water flow change rate data to obtain a theoretical lime dosage adjustment coefficient.

[0016] As can be seen from the above, the intelligent lime addition control method and system based on raw water pH value and flow provided by the present application monitors the dynamic information of raw water at a preset water inlet, and extracts 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, and judges whether the lime addition amount needs to be adjusted through threshold comparison based on the pH deviation value data and the pH change rate data. If the lime addition amount needs to be adjusted, the raw water flow characteristic data is obtained, and the pH deviation value data, pH change rate data and raw water flow mean data are combined for processing to obtain the theoretical lime addition adjustment coefficient, the raw water temperature data, lime characteristic data and characteristic data of the lime dosing device are obtained, and the lime addition adjustment compensation coefficient is obtained by processing, and the lime addition adjustment correction coefficient is obtained according to the theoretical lime addition adjustment coefficient and the lime addition adjustment compensation coefficient, and the lime addition amount is adjusted accordingly, thereby realizing the technology of intelligent lime addition control based on raw water pH value and flow.

[0017] Other features and advantages of the present application will be described in the following description, and partly become apparent from the description, or understood by practicing the embodiments of the present application. The purpose and other advantages of the present application can be realized and obtained by the structures specifically pointed out in the written description and the drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the embodiments of the present application will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0019] Figure 1 A flow chart of a method for intelligent lime dosing control based on raw water pH value and flow rate provided in an embodiment of the present application; Figure 2 A flow chart of the method for intelligent lime dosing control based on raw water pH value and flow rate provided in an embodiment of the present application for determining whether the amount of lime added needs to be adjusted; Figure 3 A flow chart of obtaining a theoretical lime dosage adjustment coefficient for a lime intelligent dosage control method based on raw water pH value and flow rate provided in an embodiment of the present application; Figure 4 A flow chart of obtaining a compensation coefficient for lime addition adjustment in an intelligent lime addition control method based on raw water pH value and flow rate provided in an embodiment of the present application. DETAILED DESCRIPTION

[0020] The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with 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 the embodiments. The components of the embodiments of the present application 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 application claimed for protection, but merely represents the selected embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without making creative work belong to the scope of protection of the present application.

[0021] It should be noted that similar reference numerals and letters represent similar items in the following drawings, so 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 this application, the terms "first", "second", etc. are only used to distinguish the description and cannot be understood as indicating or implying relative importance.

[0022] Please refer to Figure 1 , Figure 1 The flowchart of the intelligent lime dosing control method based on raw water pH value and flow rate in some embodiments of the present application. The intelligent lime dosing control method based on raw water pH value and flow rate is used in terminal devices, such as computers, mobile phone terminals, etc. The intelligent lime dosing control method based on raw water pH value and flow rate includes the following steps: S11, monitoring the dynamic information of raw water at a preset water inlet, and extracting raw water characteristic data within a preset time period, including pH mean data, pH deviation data, and pH change rate data; S12, judging whether it is necessary to adjust the amount of lime added according to the pH deviation value data and the pH change rate data by threshold comparison; S13. If the lime dosage needs to be adjusted, the raw water flow characteristic data is obtained, and the pH deviation value data, the pH change rate data and the raw water flow mean value data are processed to obtain a theoretical lime dosage adjustment coefficient; S14, obtaining raw water temperature data, lime characteristic data and characteristic data of a lime dosing device, and processing to obtain a lime dosing adjustment amount compensation coefficient; S15, performing processing according to the theoretical lime dosage adjustment coefficient and the lime dosage adjustment compensation coefficient to obtain the lime dosage adjustment correction coefficient, and adjusting the lime dosage accordingly.

[0023] It should be noted that with the development of industry and the improvement of environmental protection requirements, the requirements for the accuracy and intelligence of the water treatment process are increasing. 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 addition method often relies on manual experience or simple timed and quantitative addition, and cannot accurately adjust according to the real-time pH value and flow rate changes of raw water, which may lead to unstable water quality, such as pH If the value is too high or too low, it will not only affect the efficiency of the subsequent treatment process, but also may threaten the water supply safety. In addition, unreasonable lime addition will cause resource waste and increase treatment cost. To solve the above problems, firstly, the dynamic information of raw water at the preset water inlet is monitored, and the raw water characteristic data of raw water in the preset time period is extracted, including pH mean data, pH deviation data and pH change rate data. According to the pH deviation data and pH change rate data, it is judged whether the lime addition amount needs to be adjusted through threshold comparison. If the lime addition amount needs to be adjusted, the raw water flow characteristic data is obtained, and the pH deviation data, pH change rate data and raw water flow mean data are combined for processing to obtain the theoretical lime addition adjustment coefficient. The raw water temperature data, lime characteristic data and characteristic data of the lime dosing device are obtained, and the lime addition adjustment compensation coefficient is obtained. According to the theoretical lime addition adjustment coefficient and the lime addition adjustment compensation coefficient, the lime addition adjustment correction coefficient is obtained, and the lime addition amount is adjusted accordingly, thereby realizing the technology of intelligent lime addition control based on raw water pH value and flow.

[0024] According to an embodiment of the present invention, the monitoring of the raw water dynamic information at the preset water inlet and the extraction of 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, include: Monitor the dynamic information of raw water at a preset water inlet, and extract real-time pH measurement data corresponding to multiple monitoring time points in a preset time period; Extracting and processing the real-time pH measurement data to obtain pH mean data and pH change rate data; The pH target value data of the raw water is obtained, and the pH mean value data is processed to obtain pH deviation value data.

[0025] It should be noted that in order to better treat raw water, it is necessary to first understand the dynamic information of raw water within a certain period of time, and obtain the relevant characteristic data of raw water pH value through statistical calculations, including pH mean data, pH deviation data and pH change rate data. These statistical data can play a vital role in subsequent water treatment work.

[0026] Please refer to Figure 2 , Figure 2The present invention is a flowchart of a method for intelligently controlling lime addition based on raw water pH value and flow rate in some embodiments of the present application for determining whether the lime addition amount needs to be adjusted. According to an embodiment of the present invention, determining whether the lime addition amount needs to be adjusted by comparing the pH deviation value data and the pH change rate data with a threshold value includes: S21, obtaining a preset condition threshold set of the raw water, wherein the preset condition threshold set includes a preset pH deviation threshold and a preset pH change rate threshold; S22, comparing the pH deviation value data and the pH change rate data with two thresholds of the preset condition threshold set; S23, if the pH deviation value data and the pH change rate data are both less than the corresponding thresholds of the preset condition threshold set, then there is no need to adjust the lime dosage; S24. Otherwise, the amount of lime added needs to be adjusted.

[0027] It should be noted that for the monitored target raw water, it is necessary to judge whether the lime dosage needs to be adjusted based on the pH value deviation and its changes over a period of time. If the deviation is too large or the pH value changes too quickly and exceeds the set value, it means that the original lime dosage does not meet the demand and the lime dosage needs to be adjusted.

[0028] Please refer to Figure 3 , Figure 3 The present invention is a flowchart of obtaining a theoretical lime dosage adjustment coefficient of a lime intelligent dosing control method based on raw water pH value and flow rate in some embodiments of the present application. According to an embodiment of the present invention, if the lime dosage needs to be adjusted, raw water flow characteristic data is obtained, and the raw water flow characteristic data is combined with the pH deviation value data, pH change rate data and raw water flow mean value data for processing to obtain a theoretical lime dosage adjustment coefficient, including: S31. If the amount of lime added needs to be adjusted, real-time raw water flow data corresponding to multiple monitoring time points within a preset time period is collected; S32, extracting and processing 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; S33. Process the pH deviation data and the pH change rate data in combination with the raw water flow rate mean data and the raw water flow rate change rate data to obtain a theoretical lime dosage adjustment coefficient.

[0029] It should be noted that the theoretical value of the amount of lime that needs to be adjusted can be calculated based on the pH value and flow-related data. These data include pH deviation value, pH change rate, raw water flow mean value and raw water flow change rate data. By processing these data, the theoretical lime dosage adjustment coefficient can be obtained; Wherein, the calculation formula of the theoretical lime dosage adjustment coefficient is: ; in, is the theoretical lime dosage adjustment coefficient, , They are pH deviation data and pH change rate data respectively. , They are the raw water flow mean data and raw water flow rate change data respectively. , , , It is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset lime intelligent dosing control platform).

[0030] Please refer to Figure 4 , Figure 4 The present invention is a flowchart of obtaining a lime dosage adjustment compensation coefficient of a lime intelligent dosing control method based on raw water pH value and flow rate in some embodiments of the present application. According to an embodiment of the present invention, the process of obtaining raw water temperature data, lime characteristic data, and characteristic data of a lime dosing device, and processing to obtain a lime dosage adjustment compensation coefficient includes: S41, obtaining raw water temperature data, lime characteristic data, and characteristic data of a lime dosing device; S42, the lime characteristic data includes lime purity data and lime activity data; S43, the characteristic data of the lime dosing device includes equipment accuracy data and pipeline resistance data; S44, processing the raw water temperature data, lime purity data and lime activity data in combination with the equipment accuracy data and pipeline resistance data to obtain a lime dosage adjustment amount compensation coefficient.

[0031] It should be noted that due to the influence of factors such as water temperature, lime's own characteristics, equipment accuracy, and pipeline resistance, the actual dosage may deviate from the theoretical calculated value to a certain extent. This part of the deviation needs to be accurately calculated so that the final lime dosage can be accurate. Among them, the activity of lime refers to its ability to react with acidic substances; The calculation formula of the lime dosage adjustment compensation coefficient is: ; in, is the compensation coefficient of lime dosage adjustment, , , , , They are raw water temperature data, lime purity data, lime activity data, equipment accuracy data, and pipeline resistance data. , , It is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset lime intelligent dosing control platform).

[0032] According to an embodiment of the present invention, the processing according to the theoretical lime dosage adjustment coefficient and the lime dosage adjustment compensation coefficient to obtain the lime dosage adjustment correction coefficient and adjust the lime dosage accordingly includes: Processing is performed according to the theoretical lime dosage adjustment coefficient and the lime dosage adjustment compensation coefficient to obtain a lime dosage adjustment correction coefficient; The original lime dosage of the lime dosing device is obtained, and the original lime dosage is processed in combination with the lime dosage adjustment correction coefficient to obtain the adjusted lime dosage; A new lime addition operation is performed on the raw water according to the adjusted lime addition amount.

[0033] It should be noted that the obtained theoretical lime dosage adjustment coefficient and lime dosage adjustment compensation coefficient need to be further processed to obtain the final lime dosage adjustment correction coefficient, and then combined with the original lime dosage of the lime dosage device, the adjusted lime dosage is calculated, and new lime dosage work is performed on the raw water according to this amount; Wherein, the calculation formula of the correction coefficient of lime dosage adjustment is: ; in, is the correction coefficient of lime dosage adjustment, , They are respectively the theoretical lime dosage adjustment coefficient and the lime dosage adjustment compensation coefficient. It is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset lime intelligent dosing control platform).

[0034] Wherein, the calculation formula of the adjusted lime dosage is: ; in, To adjust the amount of lime added, is the original lime dosage, is the correction coefficient of lime dosage adjustment, It is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset lime intelligent dosing control platform).

[0035] According to an embodiment of the present invention, it also includes: Obtaining the actual amount of lime added after the new lime addition work is completed; Processing is performed according to the actual lime dosage combined with the adjusted lime dosage to obtain dosage deviation ratio data; Compare the dosage deviation ratio data with a preset dosage deviation ratio threshold to obtain a comparison result; If the dosage deviation ratio data exceeds a preset value, a fault condition of the lime dosing device is detected and corresponding maintenance work is performed.

[0036] It should be noted that in actual operation, the actual amount of lime added by the lime dosing device is not necessarily exactly the same as the calculated amount of lime added. If the actual amount added is continuously higher or lower than the calculated amount, it may be caused by a metering pump failure, pipeline blockage or other factors.

[0037] According to an embodiment of the present invention, it also includes: Obtain the adjusted pH value data corresponding to the completion of the new lime addition work, and process it in combination with the pH target value data and the pH deviation value data to obtain a pH adjustment responsiveness index; Comparing the pH adjustment responsiveness index with a preset pH adjustment responsiveness threshold to obtain a comparison result; If the comparison result is less than a preset value, the lime addition strategy is optimized, including adjusting the mixing time of lime and raw water and the active ingredient content of the lime; The calculation formula of the pH adjustment responsiveness index is: ; in, is the pH-adjusted responsiveness index, , , They are the adjusted pH value data, pH target value data, and pH deviation value data. It is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset lime intelligent dosing control platform).

[0038] It should be noted that observing the response of the raw water pH value after adding lime can help evaluate the effect of lime addition. If the pH value does not change as expected after adding lime, it may be caused by lime quality problems, uneven mixing, etc. Therefore, it is necessary to obtain the corresponding adjusted pH value data after the new lime addition work is completed, and process it in combination with the pH target value data and the 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, the lime addition strategy is optimized, including adjusting the mixing time of lime and raw water and the active ingredient content of lime.

[0039] In a second aspect, the present invention further discloses a lime intelligent dosing control system based on raw water pH value and flow rate, comprising a memory and a processor, wherein the memory comprises a lime intelligent dosing control method program based on raw water pH value and flow rate, and when the lime intelligent dosing control method program based on raw water pH value and flow rate is executed by the processor, the following steps are implemented: Monitor the dynamic information of raw water at a preset water inlet, and extract raw water characteristic data within a preset time period, including pH mean data, pH deviation data, and pH change rate data; According to the pH deviation value data and the pH change rate data, judging whether the amount of lime added needs to be adjusted by comparing the threshold value; If the lime dosage needs to be adjusted, the raw water flow characteristic data is obtained, and the pH deviation value data, pH change rate data and raw water flow mean value data are processed to obtain the theoretical lime dosage adjustment coefficient; Obtaining raw water temperature data, lime characteristic data and characteristic data of a lime dosing device, and processing to obtain a lime dosing adjustment amount compensation coefficient; The theoretical lime dosage adjustment coefficient and the lime dosage adjustment compensation coefficient are processed to obtain the lime dosage adjustment correction coefficient, and the lime dosage is adjusted accordingly.

[0040] It should be noted that with the development of industry and the improvement of environmental protection requirements, the requirements for the accuracy and intelligence of the water treatment process are increasing. 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 addition method often relies on manual experience or simple timed and quantitative addition, and cannot accurately adjust according to the real-time pH value and flow rate changes of raw water, which may lead to unstable water quality, such as pH If the value is too high or too low, it will not only affect the efficiency of the subsequent treatment process, but also may threaten the water supply safety. In addition, unreasonable lime addition will cause resource waste and increase treatment cost. To solve the above problems, firstly, the dynamic information of raw water at the preset water inlet is monitored, and the raw water characteristic data of raw water in the preset time period is extracted, including pH mean data, pH deviation data and pH change rate data. According to the pH deviation data and pH change rate data, it is judged whether the lime addition amount needs to be adjusted through threshold comparison. If the lime addition amount needs to be adjusted, the raw water flow characteristic data is obtained, and the pH deviation data, pH change rate data and raw water flow mean data are combined for processing to obtain the theoretical lime addition adjustment coefficient. The raw water temperature data, lime characteristic data and characteristic data of the lime dosing device are obtained, and the lime addition adjustment compensation coefficient is obtained. According to the theoretical lime addition adjustment coefficient and the lime addition adjustment compensation coefficient, the lime addition adjustment correction coefficient is obtained, and the lime addition amount is adjusted accordingly, thereby realizing the technology of intelligent lime addition control based on raw water pH value and flow.

[0041] According to an embodiment of the present invention, the monitoring of the raw water dynamic information at the preset water inlet and the extraction of 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, include: Monitor the dynamic information of raw water at a preset water inlet, and extract real-time pH measurement data corresponding to multiple monitoring time points in a preset time period; Extracting and processing the real-time pH measurement data to obtain pH mean data and pH change rate data; The pH target value data of the raw water is obtained, and the pH mean value data is processed to obtain pH deviation value data.

[0042] It should be noted that in order to better treat raw water, it is necessary to first understand the dynamic information of raw water within a certain period of time, and obtain the relevant characteristic data of raw water pH value through statistical calculations, including pH mean data, pH deviation data and pH change rate data. These statistical data can play a vital role in subsequent water treatment work.

[0043] According to an embodiment of the present invention, judging whether it is necessary to adjust the amount of lime added according to the pH deviation value data and the pH change rate data by comparing the threshold value includes: Acquire a preset condition threshold set of the raw water, wherein 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 two thresholds of the preset condition threshold set; If the pH deviation value data and the pH change rate data are both less than the corresponding threshold values ​​of the preset condition threshold value set, there is no need to adjust the lime dosage; Otherwise, the amount of lime added needs to be adjusted.

[0044] It should be noted that for the monitored target raw water, it is necessary to judge whether the lime dosage needs to be adjusted based on the pH value deviation and its changes over a period of time. If the deviation is too large or the pH value changes too quickly and exceeds the set value, it means that the original lime dosage does not meet the demand and the lime dosage needs to be adjusted.

[0045] According to an embodiment of the present invention, if the lime dosage needs to be adjusted, the raw water flow characteristic data is obtained, and the pH deviation value data, the pH change rate data and the raw water flow mean data are processed to obtain the theoretical lime dosage adjustment coefficient, including: If the amount of lime added needs to be adjusted, collect the real-time raw water flow data corresponding to multiple monitoring time points within the preset time period; Extracting and processing 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; The pH deviation value data and the pH change rate data are processed in combination with the raw water flow mean value data and the raw water flow change rate data to obtain a theoretical lime dosage adjustment coefficient.

[0046] It should be noted that the theoretical value of the amount of lime that needs to be adjusted can be calculated based on the pH value and flow-related data. These data include pH deviation value, pH change rate, raw water flow mean value and raw water flow change rate data. By processing these data, the theoretical lime dosage adjustment coefficient can be obtained; Wherein, the calculation formula of the theoretical lime dosage adjustment coefficient is: ; in, is the theoretical lime dosage adjustment coefficient, , They are pH deviation data and pH change rate data respectively. , They are the raw water flow mean data and raw water flow rate change data respectively. , , , It is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset lime intelligent dosing control platform).

[0047] According to an embodiment of the present invention, the step of acquiring raw water temperature data, lime characteristic data, and characteristic data of a lime dosing device, and processing to obtain a lime dosing adjustment amount compensation coefficient includes: Obtaining raw water temperature data, lime characteristic data, and 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 accuracy data and pipeline resistance data; The raw water temperature data, lime purity data and lime activity data are processed in combination with the equipment accuracy data and pipeline resistance data to obtain a lime dosage adjustment amount compensation coefficient.

[0048] It should be noted that due to the influence of factors such as water temperature, lime's own characteristics, equipment accuracy, and pipeline resistance, the actual dosage may deviate from the theoretical calculated value to a certain extent. This part of the deviation needs to be accurately calculated so that the final lime dosage can be accurate. Among them, the activity of lime refers to its ability to react with acidic substances; The calculation formula of the lime dosage adjustment compensation coefficient is: ; in, is the compensation coefficient of lime dosage adjustment, , , , , They are raw water temperature data, lime purity data, lime activity data, equipment accuracy data, and pipeline resistance data. , , It is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset lime intelligent dosing control platform).

[0049] According to an embodiment of the present invention, the processing according to the theoretical lime dosage adjustment coefficient and the lime dosage adjustment compensation coefficient to obtain the lime dosage adjustment correction coefficient and adjust the lime dosage accordingly includes: Processing is performed according to the theoretical lime dosage adjustment coefficient and the lime dosage adjustment compensation coefficient to obtain a lime dosage adjustment correction coefficient; The original lime dosage of the lime dosing device is obtained, and the original lime dosage is processed in combination with the lime dosage adjustment correction coefficient to obtain the adjusted lime dosage; A new lime addition operation is performed on the raw water according to the adjusted lime addition amount.

[0050] It should be noted that the obtained theoretical lime dosage adjustment coefficient and lime dosage adjustment compensation coefficient need to be further processed to obtain the final lime dosage adjustment correction coefficient, and then combined with the original lime dosage of the lime dosage device, the adjusted lime dosage is calculated, and new lime dosage work is performed on the raw water according to this amount; Wherein, the calculation formula of the correction coefficient of lime dosage adjustment is: ; in, is the correction coefficient of lime dosage adjustment, , They are respectively the theoretical lime dosage adjustment coefficient and the lime dosage adjustment compensation coefficient. It is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset lime intelligent dosing control platform).

[0051] Wherein, the calculation formula of the adjusted lime dosage is: ; in, To adjust the amount of lime added, is the original lime dosage, is the correction coefficient of lime dosage adjustment, It is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset lime intelligent dosing control platform).

[0052] According to an embodiment of the present invention, it also includes: Obtaining the actual amount of lime added after the new lime addition work is completed; Processing is performed according to the actual lime dosage combined with the adjusted lime dosage to obtain dosage deviation ratio data; Compare the dosage deviation ratio data with a preset dosage deviation ratio threshold to obtain a comparison result; If the dosage deviation ratio data exceeds a preset value, a fault condition of the lime dosing device is detected and corresponding maintenance work is performed.

[0053] It should be noted that in actual operation, the actual amount of lime added by the lime dosing device is not necessarily exactly the same as the calculated amount of lime added. If the actual amount added is continuously higher or lower than the calculated amount, it may be caused by a metering pump failure, pipeline blockage or other factors.

[0054] According to an embodiment of the present invention, it also includes: Obtain the adjusted pH value data corresponding to the completion of the new lime addition work, and process it in combination with the pH target value data and the pH deviation value data to obtain a pH adjustment responsiveness index; Comparing the pH adjustment responsiveness index with a preset pH adjustment responsiveness threshold to obtain a comparison result; If the comparison result is less than a preset value, the lime addition strategy is optimized, including adjusting the mixing time of lime and raw water and the active ingredient content of the lime; The calculation formula of the pH adjustment responsiveness index is: ; in, is the pH-adjusted responsiveness index, , , They are the adjusted pH value data, pH target value data, and pH deviation value data. It is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset lime intelligent dosing control platform).

[0055] It should be noted that observing the response of the raw water pH value after adding lime can help evaluate the effect of lime addition. If the pH value does not change as expected after adding lime, it may be caused by lime quality problems, uneven mixing, etc. Therefore, it is necessary to obtain the corresponding adjusted pH value data after the new lime addition work is completed, and process it in combination with the pH target value data and the 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, the lime addition strategy is optimized, including adjusting the mixing time of lime and raw water and the active ingredient content of lime.

[0056] The invention discloses a method and system for intelligent lime dosing control based on raw water pH value and flow rate. The method and system monitor the dynamic information of raw water at a preset water inlet, extract the raw water characteristic data within a preset time period, including pH mean 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 characteristic data, and process them in combination with the pH deviation value data, the pH change rate data and the raw water flow mean value data to obtain a theoretical lime dosage adjustment coefficient, obtain raw water temperature data, lime characteristic data and characteristic data of a lime dosing device, process them to obtain a lime dosage adjustment compensation coefficient, process them according to the theoretical lime dosage adjustment coefficient and the lime dosage adjustment compensation coefficient to obtain a lime dosage adjustment correction coefficient, and adjust the lime dosage accordingly, thereby realizing the technology of intelligent lime dosing control based on raw water pH value and flow rate.

[0057] In the 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 schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, 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 can be through some interfaces, and the indirect coupling or communication connection of the devices or units can be electrical, mechanical or other forms.

[0058] The units described above as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units; they may be located in one place or distributed on multiple network units; some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0059] In addition, all functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be separately used as a 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 hardware plus software functional units.

[0060] Those skilled 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 aforementioned program can be stored in a readable storage medium, and when the program is executed, it executes the steps of the above method embodiments; and the aforementioned storage medium includes: mobile storage devices, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), disks or optical disks, and other media that can store program codes.

[0061] Alternatively, if the above-mentioned integrated unit of the present invention is implemented in the form of a software function module and sold or used as an independent product, it can also be stored in a readable storage medium. Based on this understanding, the technical solution of the embodiment of the present invention can be essentially or partly reflected in the form of a software product that contributes to the prior art. The software product is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the methods described in each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as mobile storage devices, ROM, RAM, magnetic disks or optical disks.

Claims

1. An intelligent lime dosing control method based on raw water pH value and flow rate, characterized in that: The following steps are involved: Monitor the dynamic information of raw water at a preset water inlet, and extract raw water characteristic data within a preset time period, including pH mean data, pH deviation data, and pH change rate data; According to the pH deviation value data and the pH change rate data, judging whether the amount of lime added needs to be adjusted by comparing the threshold value; If the lime dosage needs to be adjusted, the raw water flow characteristic data is obtained, and the pH deviation value data, pH change rate data and raw water flow mean value data are processed to obtain the theoretical lime dosage adjustment coefficient; Obtaining raw water temperature data, lime characteristic data and characteristic data of a lime dosing device, and processing to obtain a lime dosing adjustment amount compensation coefficient; The theoretical lime dosage adjustment coefficient and the lime dosage adjustment compensation coefficient are processed to obtain the lime dosage adjustment correction coefficient, and the lime dosage is adjusted accordingly.

2. The method for controlling the intelligent addition of lime based on raw water pH value and flow rate according to claim 1, characterized in that: The monitoring of the raw water dynamic information at the preset water inlet and the extraction of raw water characteristic data within a preset time period, including pH mean value data, pH deviation value data and pH change rate data, include: Monitor the dynamic information of raw water at a preset water inlet, and extract real-time pH measurement data corresponding to multiple monitoring time points in a preset time period; Extracting and processing the real-time pH measurement data to obtain pH mean data and pH change rate data; The pH target value data of the raw water is obtained, and the pH mean value data is processed to obtain pH deviation value data.

3. The method for controlling the intelligent addition of lime based on raw water pH value and flow rate according to claim 2, characterized in that: The step of judging whether the amount of lime to be added needs to be adjusted by comparing the pH deviation value data and the pH change rate data with a threshold value includes: Acquire a preset condition threshold set of the raw water, wherein 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 two thresholds of the preset condition threshold set; If the pH deviation value data and the pH change rate data are both less than the corresponding threshold values ​​of the preset condition threshold value set, there is no need to adjust the lime dosage; Otherwise, the amount of lime added needs to be adjusted.

4. The method for controlling the intelligent addition of lime based on raw water pH value and flow rate according to claim 3 is characterized in that: If the lime dosage needs to be adjusted, the raw water flow characteristic data is obtained, and the pH deviation data, pH change rate data and raw water flow mean data are processed to obtain the theoretical lime dosage adjustment coefficient, including: If the amount of lime added needs to be adjusted, collect the real-time raw water flow data corresponding to multiple monitoring time points within the preset time period; Extracting and processing 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; The pH deviation value data and the pH change rate data are processed in combination with the raw water flow mean value data and the raw water flow change rate data to obtain a theoretical lime dosage adjustment coefficient.

5. The method for controlling the intelligent addition of lime based on raw water pH value and flow rate according to claim 4, characterized in that: The step of obtaining raw water temperature data, lime characteristic data and characteristic data of a lime dosing device and processing to obtain a lime dosing adjustment amount compensation coefficient includes: Obtaining raw water temperature data, lime characteristic data, and 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 accuracy data and pipeline resistance data; The raw water temperature data, lime purity data and lime activity data are processed in combination with the equipment accuracy data and pipeline resistance data to obtain a lime dosage adjustment amount compensation coefficient.

6. The method for controlling the intelligent addition of lime based on raw water pH value and flow rate according to claim 5, characterized in that: The processing according to the theoretical lime dosage adjustment coefficient and the lime dosage adjustment compensation coefficient to obtain the lime dosage adjustment correction coefficient and adjust the lime dosage accordingly includes: Processing is performed according to the theoretical lime dosage adjustment coefficient and the lime dosage adjustment compensation coefficient to obtain a lime dosage adjustment correction coefficient; The original lime dosage of the lime dosing device is obtained, and the original lime dosage is processed in combination with the lime dosage adjustment correction coefficient to obtain the adjusted lime dosage; A new lime addition operation is performed on the raw water according to the adjusted lime addition amount.

7. Intelligent lime dosing control system based on raw water pH value and flow rate, characterized in that: The system includes: a memory and a processor, wherein the memory includes a program of a lime intelligent dosing control method based on raw water pH value and flow rate, and when the program of the lime intelligent dosing control method based on raw water pH value and flow rate is executed by the processor, the following steps are implemented: Monitor the dynamic information of raw water at a preset water inlet, and extract raw water characteristic data within a preset time period, including pH mean data, pH deviation data, and pH change rate data; According to the pH deviation value data and the pH change rate data, judging whether the amount of lime added needs to be adjusted by comparing the threshold value; If the lime dosage needs to be adjusted, the raw water flow characteristic data is obtained, and the pH deviation value data, pH change rate data and raw water flow mean value data are processed to obtain the theoretical lime dosage adjustment coefficient; Obtaining raw water temperature data, lime characteristic data and characteristic data of a lime dosing device, and processing to obtain a lime dosing adjustment amount compensation coefficient; The theoretical lime dosage adjustment coefficient and the lime dosage adjustment compensation coefficient are processed to obtain the lime dosage adjustment correction coefficient, and the lime dosage is adjusted accordingly.

8. The intelligent lime dosing control system based on raw water pH value and flow rate according to claim 7 is characterized in that: The monitoring of the raw water dynamic information at the preset water inlet and the extraction of raw water characteristic data within a preset time period, including pH mean value data, pH deviation value data and pH change rate data, include: Monitor the dynamic information of raw water at a preset water inlet, and extract real-time pH measurement data corresponding to multiple monitoring time points in a preset time period; Extracting and processing the real-time pH measurement data to obtain pH mean data and pH change rate data; The pH target value data of the raw water is obtained, and the pH mean value data is processed to obtain pH deviation value data.

9. The intelligent lime dosing control system based on raw water pH value and flow rate according to claim 8, characterized in that: The step of judging whether the amount of lime to be added needs to be adjusted by comparing the pH deviation value data and the pH change rate data with a threshold value includes: Acquire a preset condition threshold set of the raw water, wherein 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 two thresholds of the preset condition threshold set; If the pH deviation value data and the pH change rate data are both less than the corresponding threshold values ​​of the preset condition threshold value set, there is no need to adjust the lime dosage; Otherwise, the amount of lime added needs to be adjusted.

10. The intelligent lime dosing control system based on raw water pH value and flow rate according to claim 9, characterized in that: If the lime dosage needs to be adjusted, the raw water flow characteristic data is obtained, and the pH deviation data, pH change rate data and raw water flow mean data are processed to obtain the theoretical lime dosage adjustment coefficient, including: If the amount of lime added needs to be adjusted, collect the real-time raw water flow data corresponding to multiple monitoring time points within the preset time period; Extracting and processing 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; The pH deviation value data and the pH change rate data are processed in combination with the raw water flow mean value data and the raw water flow change rate data to obtain a theoretical lime dosage adjustment coefficient.

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