Intelligent lime adding control method and system and medium

Abstract

The invention provides an intelligent lime adding control method and system and a medium. The method comprises the following steps: acquiring real-time water flow data, calculating to obtain effective water flow parameter data, processing by combining the obtained historical average water flow parameter data and historical lime average dosage data to obtain predicted lime dosage data, acquiring lime performance parameter data and lime average reaction duration data, and processing to obtain lime effective utilization rate data; lime adding quantity demanded data are obtained by processing lime effective utilization rate data and lime predicted dosage data, then screw conveyor grade data are obtained through threshold value comparison, and finally the purified water state is obtained through threshold value comparison after purified water standard parameter data and purified water real-time parameter data are processed. Further adjusting the lime adding demand quantity data; therefore, intelligent adding of the lime is realized through calculation of the predicted lime dosage data, the lime effective utilization rate data and the lime adding demand quantity data and determination of the state of the purified water.

Description

Technical Field

[0001] The present application relates to the field of lime dosing, and in particular to an intelligent lime dosing control method, system and medium. Background Art

[0002] Lime addition is an important process component of water plants and sewage treatment plants. Reasonable lime addition can adjust the pH of water, remove impurities and heavy metal ions in water, and improve water quality. However, the traditional lime addition method relies entirely on manpower and experience to complete the process of calculating the dosage, dissolving, and adding. There will be inaccurate dosage, which can easily lead to unstable water quality and waste resources. With the development of intelligent technology, intelligent control technology has been widely used in various fields. Compared with traditional manual control methods, intelligent control technology has the advantages of stable equipment operation performance, accurate addition accuracy, fully automated operation, clean working environment, and saving a lot of manpower and material costs. However, intelligent control technology has not been well applied in lime head addition control.

[0003] In view of the above problems, effective technical solutions are urgently needed. Summary of the invention

[0004] The purpose of the present application is to provide an intelligent lime addition control method, system and medium, which can realize intelligent lime addition by calculating the estimated lime usage data, the lime effective utilization rate data, the lime addition demand data and determining the purified water status.

[0005] The present application also provides an intelligent lime dosing control method, comprising the following steps: Obtaining historical average water flow parameter data of the water to be purified, historical average lime usage data and a preset number of real-time water flow parameter data, and calculating effective water flow parameter data based on the real-time water flow parameter data; Obtaining lime estimated usage data according to the historical water flow parameter data, the historical average lime usage data and the effective water flow parameter data; Obtain lime performance parameter data and lime average reaction time data, and obtain lime effective utilization rate data according to the lime performance parameter data and lime average reaction time data; The lime dosage requirement data of the water flow to be purified is obtained by processing the lime effective utilization rate data and the lime estimated usage data, and the screw conveyor level data is determined after processing the lime dosage requirement data and performing threshold comparison; Obtaining purified water standard parameter data and purified water real-time parameter data, processing the purified water standard parameter data and purified water real-time parameter data to obtain purification degree relative value data, and performing threshold comparison to obtain purified water status; The amount of lime added is adjusted according to the purified water state combined with the relative value data of the purification degree and the lime addition demand data.

[0006] Optionally, in the intelligent lime dosing control method described in the present application, the obtaining of historical average water flow parameter data of the water flow to be purified, historical average lime usage data and a preset number of real-time water flow parameter data, and calculating effective water flow parameter data according to the real-time water flow parameter data specifically includes: Obtaining historical average water flow parameter data and historical average lime consumption data of the water to be purified, wherein the historical average water flow parameter data includes historical pH average data, historical hardness average data, historical organic matter content average data, and historical water flow average data; Obtaining a preset amount of real-time water flow parameter data of the water to be purified, including real-time pH data, real-time hardness data, real-time organic matter content data, and real-time water flow data; According to the real-time pH data, real-time hardness data, real-time organic matter content data and real-time water flow data, average values ​​are respectively calculated to obtain effective pH mean data, effective hardness mean data, effective organic matter content data and effective water flow mean data.

[0007] Optionally, in the intelligent lime addition control method described in the present application, the processing of obtaining the estimated lime usage data according to the historical water flow parameter data, the historical average lime usage data and the effective water flow parameter data specifically includes: Obtaining a historical water quality characteristic index based on the historical pH mean data, historical hardness mean data, historical organic matter content mean data, and historical water flow mean data; Obtaining an effective water quality characteristic index according to the effective pH mean data, effective hardness mean data, effective organic matter content data and effective water flow mean data; Divide the effective water quality characteristic index by the historical water quality characteristic index, and then multiply it by the historical average lime usage data to obtain the estimated lime usage data.

[0008] Optionally, in the intelligent lime addition control method described in the present application, the step of obtaining lime performance parameter data and lime average reaction time data, and obtaining lime effective utilization rate data according to the lime performance parameter data and lime average reaction time data, specifically includes: Obtain lime performance parameter data and lime average reaction time data, the lime performance parameter data including lime purity data, lime particle size data, lime activity data and lime water content data; The lime performance parameter data including lime purity data, lime particle size data, lime activity data, lime water content data and lime average reaction time data are input into a preset lime effectiveness evaluation model for processing to obtain lime effective utilization rate data.

[0009] Optionally, in the intelligent lime dosing control method described in the present application, the lime dosing demand data of the water flow to be purified is obtained according to the lime effective utilization rate data and the lime estimated usage data, and the lime dosing demand data is processed and compared with the threshold value to determine the screw conveyor level data, which specifically includes: The lime dosage requirement data of the water flow to be purified is obtained by processing the lime effective utilization rate data and the lime estimated usage data, and the screw conveyor level data is determined after processing the lime dosage requirement data and performing threshold comparison, specifically including: The lime effective utilization rate data is multiplied by the estimated lime usage data to obtain the lime addition demand data, and the lime addition demand data is divided by the preset screw conveyor standard carrying capacity to obtain the carrying capacity ratio data; The carrying capacity ratio data is compared with the preset lime addition conveying level threshold to obtain the screw conveyor level data; Extracting a first threshold value and a second threshold value according to a preset lime addition and conveying level threshold value, and the first threshold value is greater than the second threshold value; Comparing the carrying capacity ratio data with the first threshold and the second threshold; If the carrying volume ratio data is greater than the first threshold value, the screw conveyor gear level data is high-speed gear level data; If the carrying volume proportion data is greater than the second threshold value and less than or equal to the first threshold value, the screw conveyor gear level data is medium speed gear level data; If the carrying volume proportion data is less than or equal to the second threshold value, the screw conveyor gear level data is low-speed gear level data; The screw conveyor automatically adjusts the conveying gear according to the screw conveyor gear data.

[0010] Optionally, in the intelligent lime dosing control method described in the present application, obtaining the purified water standard parameter data and the purified water real-time parameter data, obtaining the purification degree relative value data according to the purified water standard parameter data and the purified water real-time parameter data, and performing threshold comparison to obtain the purified water state specifically includes: Obtaining standard parameter data of purified water, including standard pH data of purified water, standard hardness data of purified water, and standard organic matter content data of purified water; Obtaining real-time parameter data of purified water, including real-time pH data of purified water, real-time hardness data of purified water, and real-time organic matter content data of purified water; Inputting the purified water standard pH data, purified water standard hardness data, purified water standard organic matter content data, purified water real-time pH data, purified water real-time hardness data and purified water real-time organic matter content data into a preset purification effect evaluation model for processing to obtain purification degree relative value data; Comparing the relative value data of the degree of purification with a preset purification state evaluation threshold to obtain a purified water state; Extracting a third threshold and a fourth threshold according to a preset purification state evaluation threshold, wherein the third threshold is greater than the fourth threshold; comparing the purification degree relative value data with the third threshold value and the fourth threshold value; If the relative value data of the degree of purification is greater than the third threshold value, the state of the purified water is a high-quality state; If the relative value data of the degree of purification is greater than the fourth threshold value and less than or equal to the third threshold value, the purified water state is a qualified state; If the relative value data of the degree of purification is less than or equal to the fourth threshold, the purified water state is a non-standard state.

[0011] Optionally, in the intelligent lime addition control method described in the present application, the lime addition amount is adjusted according to the purified water state in combination with the purification degree relative value data and the lime addition demand amount data, specifically including: Determine the state of the purified water. If the state of the purified water is qualified, the lime dosage demand data is not adjusted. If the purified water is in a high-quality state, the lime dosage reduction amount is obtained according to the relative value data of the purification degree and the lime dosage requirement data; If the purified water state is not up to standard, the lime addition increase is obtained by processing the relative value data of the purification degree and the lime addition demand data.

[0012] In a second aspect, the present application provides an intelligent lime dosing control system, the system comprising: a memory and a processor, the memory comprising a garbage data recovery and solid-state storage optimization method program, the garbage data recovery and solid-state storage optimization method program being executed by the processor to implement the following steps: Obtaining historical average water flow parameter data of the water to be purified, historical average lime usage data and a preset number of real-time water flow parameter data, and calculating effective water flow parameter data based on the real-time water flow parameter data; Obtaining lime estimated usage data according to the historical water flow parameter data, the historical average lime usage data and the effective water flow parameter data; Obtain lime performance parameter data and lime average reaction time data, and obtain lime effective utilization rate data based on lime performance parameter data processing; The lime dosage requirement data of the water flow to be purified is obtained by processing the lime effective utilization rate data and the lime estimated usage data, and the screw conveyor level data is determined after processing the lime dosage requirement data and performing threshold comparison; Obtaining purified water standard parameter data and purified water real-time parameter data, processing the purified water standard parameter data and purified water real-time parameter data to obtain purification degree relative value data, and performing threshold comparison to obtain purified water status; The amount of lime added is adjusted according to the purified water state combined with the relative value data of the purification degree and the lime addition demand data.

[0013] In a third aspect, the present application also provides a readable storage medium, in which an intelligent lime addition control method program is stored. When the intelligent lime addition control method program is executed by a processor, the steps of an intelligent lime addition control method as described in any one of the above items are implemented.

[0014] As can be seen from the above, the intelligent lime dosing control method, system and medium provided by the present application. The method obtains real-time water flow data and calculates effective water flow parameter data, combines the obtained historical average water flow parameter data and the historical average lime usage data to obtain the estimated lime usage data, obtains lime performance parameter data and lime average reaction time data and processes them to obtain lime effective utilization rate data, obtains lime dosing demand data by processing lime effective utilization rate data and lime estimated usage data, and then obtains screw conveyor level data by threshold comparison, and finally obtains purified water status by threshold comparison after processing according to purified water standard parameter data and purified water real-time parameter data, and then adjusts the lime dosing demand data; thereby, the intelligent dosing of lime is realized by calculating the estimated lime usage data, lime effective utilization rate data, lime dosing demand data and determining the purified water status.

[0015] 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 present application. The purpose and other advantages of the present application can be realized and obtained by the structures particularly pointed out in the written description and the drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] 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.

[0017] Figure 1A flow chart of an intelligent lime dosing control method provided in an embodiment of the present application; Figure 2 A flow chart of obtaining estimated lime usage data of an intelligent lime addition control method provided in an embodiment of the present application; Figure 3 A flow chart of obtaining lime effective utilization rate data of an intelligent lime addition control method provided in an embodiment of the present application; Figure 4 A flow chart of obtaining lime addition demand data and screw conveyor level data of an intelligent lime addition control method provided in an embodiment of the present application. DETAILED DESCRIPTION

[0018] 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.

[0019] 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.

[0020] Please refer to Figure 1 , Figure 1 1 is a flow chart of an intelligent lime dosing control method in some embodiments of the present application. The intelligent lime dosing control method is used in a terminal device, such as a computer, a mobile phone, etc. The intelligent lime dosing control method comprises the following steps: S11, obtaining historical average water flow parameter data of the water to be purified, historical average lime consumption data and a preset number of real-time water flow parameter data, and calculating effective water flow parameter data according to the real-time water flow parameter data; S12, obtaining lime estimated usage data according to the historical water flow parameter data, the historical average lime usage data and the effective water flow parameter data; S13, obtaining lime performance parameter data and lime average reaction time data, and obtaining lime effective utilization rate data according to the lime performance parameter data and lime average reaction time data; S14, obtaining lime dosage demand data of the water flow to be purified according to the lime effective utilization rate data and the lime estimated usage data, processing the lime dosage demand data and performing threshold comparison to determine the screw conveyor level data; S15, obtaining purified water standard parameter data and purified water real-time parameter data, processing the purified water standard parameter data and purified water real-time parameter data to obtain purification degree relative value data, and performing threshold comparison to obtain purified water status; S16, adjusting the amount of lime added according to the purified water state combined with the relative value data of the purification degree and the lime addition demand data.

[0021] It should be noted that the water to be purified refers to the water to be treated by the water plant or the wastewater treatment plant. Since the treatment capacity of the water plant or the wastewater treatment plant is generally relatively fixed, the demand for lime addition will also be relatively fixed. It is of good reference to obtain the historical average water flow parameter data and the historical average lime usage data of the water to be purified. The effective water flow parameter data can better reflect the parameters of the current water to be purified. The estimated lime usage data refers to the data that can reflect the estimated demand for lime obtained by processing the historical water flow parameter data, the historical average lime usage data and the effective water flow parameter data. The nature of the lime itself has a variety of influencing parameters. It is necessary to obtain the lime performance parameter data and The data of the average reaction time of lime is processed to obtain the data of the effective utilization rate of lime, and then the data of the effective utilization rate of lime and the estimated amount of lime are processed to obtain the data of the demand for lime addition. After the data of the demand for lime addition is determined, the threshold value comparison is performed to determine the grade data of the screw conveyor. Different grades refer to the ability to transport different amounts of lime in the same time. After adding lime, the standard parameter data of purified water and the real-time parameter data of purified water are obtained and processed to obtain the relative value data of the degree of purification. The relative value data of the degree of purification is compared through the threshold value to obtain the state of purified water, and the amount of lime added is adjusted according to the state of purified water, so as to achieve the purpose of saving lime or enhancing the purification effect.

[0022] According to an embodiment of the present invention, the step of obtaining historical average water flow parameter data of the water to be purified, historical average lime usage data, and a preset number of real-time water flow parameter data, and calculating effective water flow parameter data based on the real-time water flow parameter data, specifically includes: Obtaining historical average water flow parameter data and historical average lime consumption data of the water to be purified, wherein the historical average water flow parameter data includes historical pH average data, historical hardness average data, historical organic matter content average data, and historical water flow average data; Obtaining a preset amount of real-time water flow parameter data of the water to be purified, including real-time pH data, real-time hardness data, real-time organic matter content data, and real-time water flow data; According to the real-time pH data, real-time hardness data, real-time organic matter content data and real-time water flow data, average values ​​are respectively calculated to obtain effective pH mean data, effective hardness mean data, effective organic matter content data and effective water flow mean data.

[0023] It should be noted that since the location of the factory is fixed, the quality and quantity of tap water or wastewater that needs to be purified are generally relatively fixed. Therefore, obtaining historical data has a certain reference significance for calculating the amount of lime added. The historical average water flow parameter data refers to the average value obtained based on the water flow parameters within the preset historical time period, because the average value can better and more stably reflect the water flow parameters. The historical average lime usage data refers to the average value of the amount of lime added within the historical preset time period; the water to be purified itself has multiple influencing factors, including pH data, water hardness data, and organic matter content data. In addition, the water flow rate also affects the subsequent demand for lime addition.

[0024] Please refer to Figure 2 , Figure 2 The flowchart of obtaining lime estimated usage data of an intelligent lime addition control method provided in an embodiment of the present application. According to an embodiment of the present invention, obtaining lime estimated usage data according to the historical water flow parameter data, the historical average lime usage data and the effective water flow parameter data specifically includes: S21, obtaining a historical water quality characteristic index according to the historical pH mean data, the historical hardness mean data, the historical organic matter content mean data and the historical water flow mean data; S22, obtaining an effective water quality characteristic index according to the effective pH mean data, the effective hardness mean data, the effective organic matter content data and the effective water flow mean data; S23. Divide the effective water quality characteristic index by the historical water quality characteristic index, and then multiply by the historical average lime usage data to obtain the estimated lime usage data.

[0025] It should be noted that after obtaining the historical water flow parameter data, the historical water quality characteristic data can be processed to obtain the water quality characteristic data, which is a comprehensive evaluation response of the water to be purified. The corresponding lime demand can be determined based on the water quality characteristic data; the effective water quality characteristic index of the current water to be purified is obtained by processing the effective pH mean data, the effective hardness mean data, the effective organic matter content data and the effective water flow mean data; after dividing the effective water quality characteristic index by the historical water quality characteristic index, the relative value of the water quality characteristic is obtained, which can reflect the degree of change between the historical water quality and the current water quality. The relative value of the water quality characteristic is multiplied by the historical average lime usage data to obtain the estimated lime usage data; in this example, the hardness data refers to the temporary hardness of the water to be purified caused by substances such as calcium bicarbonate and magnesium bicarbonate in the water. If the temporary hardness of the water is high, that is, the content of calcium bicarbonate and magnesium bicarbonate is high, more lime is needed to remove these substances and reduce the hardness of the water; organic matter in the water will consume lime, and water with a high organic matter content usually requires more lime to achieve the purpose of purification; The calculation formula for the estimated lime consumption data is: ; in, The estimated amount of lime is: is the historical average lime consumption data, , , , They are the effective pH mean data, effective hardness mean data, effective organic matter content data, and effective water flow mean data. , , , They are historical pH average data, historical hardness average data, historical organic matter content average data, and historical water flow average data. , , , , They are respectively preset characteristic coefficients (the characteristic coefficients are obtained by querying the preset intelligent lime dosing control platform).

[0026] Please refer to Figure 3 , Figure 3 The flowchart of obtaining lime effective utilization rate data of an intelligent lime addition control method provided by an embodiment of the present application. According to an embodiment of the present invention, obtaining lime performance parameter data and lime average reaction time data, and obtaining lime effective utilization rate data according to lime performance parameter data and lime average reaction time data processing specifically includes: S31, obtaining lime performance parameter data and lime average reaction time data, the lime performance parameter data including lime purity data, lime particle size data, lime activity data and lime water content data; S32, inputting the lime performance parameter data including lime purity data, lime particle size data, lime activity data, lime water content data and lime average reaction time data into a preset lime effectiveness evaluation model for processing, and obtaining lime effective utilization rate data.

[0027] It should be noted that the lime purity data refers to the content of effective ingredients (such as calcium hydroxide or calcium oxide). The higher the purity, the better the treatment effect. The size of lime particles will affect its dissolution rate and dispersion in the treatment medium, so the size of lime particles also has a certain impact on the effective utilization efficiency of lime. The activity of lime is mainly related to the ability of calcium oxide (CaO) to convert into calcium hydroxide (Ca (OH)2). Lime with high activity can react with water more quickly to generate calcium hydroxide, thereby playing its role in adjusting pH or other treatment functions more quickly. The water content of lime will affect its fluidity and reaction activity. High water content will also reduce the content of effective ingredients in lime, affecting its treatment effect. The lime validity evaluation model is obtained by training based on a large amount of historical data. Through this model, the effective utilization rate data of lime can be calculated. The calculation formula for lime effective utilization rate data in the lime effectiveness evaluation model is: ; in, is the effective utilization rate of lime, is the average reaction time of lime, , , , They are lime purity data, lime particle size data, lime activity data, and lime water content data. , , , , They are respectively preset characteristic coefficients (the characteristic coefficients are obtained by querying the preset intelligent lime dosing control platform).

[0028] Please refer to Figure 4 , Figure 4 It is a flow chart of obtaining lime addition demand data and screw conveyor level data of an intelligent lime addition control method provided by an embodiment of the present application. According to an embodiment of the present invention, the lime addition demand data of the water flow to be purified is obtained according to the lime effective utilization rate data and the lime estimated usage data, and the lime addition demand data is processed and compared with the threshold value to determine the screw conveyor level data, which specifically includes: S41, multiplying the lime effective utilization rate data by the estimated lime usage data to obtain lime addition demand data, and dividing the lime addition demand data by the preset screw conveyor standard carrying capacity to obtain carrying capacity ratio data; S42, comparing the carrying capacity ratio data with a preset lime adding and conveying level threshold to obtain screw conveyor level data; S43, extracting a first threshold and a second threshold according to a preset lime addition and conveying level threshold, and the first threshold is greater than the second threshold; S44, comparing the carrying capacity proportion data with the first threshold and the second threshold; S45, if the carrying volume proportion data is greater than the first threshold value, the screw conveyor gear level data is high-speed gear level data; S46: If the carrying volume proportion data is greater than the second threshold value and less than or equal to the first threshold value, the screw conveyor gear level data is medium speed gear level data; S47, if the carrying volume proportion data is less than or equal to the second threshold, the screw conveyor gear level data is low-speed gear level data; S48, the screw conveyor automatically adjusts the conveying gear according to the screw conveyor gear data.

[0029] It should be noted that due to the influence of lime effective utilization rate data, it is necessary to correct the estimated lime usage data. The lime addition demand data is obtained by multiplying the two. After obtaining the lime addition demand data, since lime addition is achieved through a screw conveyor, the screw conveyor needs to be adjusted to different gears when adding different orders of magnitude of lime. In order to be able to automatically adjust the gear, it is necessary to divide the lime addition demand data by the standard carrying capacity of the screw conveyor to obtain the carrying capacity ratio data. The carrying capacity ratio data reflects the transportation speed of the screw conveyor to a certain extent; the carrying capacity ratio The data is compared with the preset lime adding and conveying level threshold, and the screw conveyor level data is obtained according to the comparison result. The lime adding and conveying level threshold can be set according to the actual user's usage. In this embodiment, the lime adding and conveying level threshold is set to: (0.85, 1], the screw conveyor level data is high-speed level data; (0.6, 0.85], the screw conveyor level data is medium-speed level data; (0, 0.6], the screw conveyor level data is low-speed level data; when the calculated carrying capacity ratio data is 0.9, the screw conveyor level data is high-speed level data.

[0030] According to an embodiment of the present invention, the step of obtaining the purified water standard parameter data and the purified water real-time parameter data, obtaining the purification degree relative value data according to the purified water standard parameter data and the purified water real-time parameter data, and performing threshold comparison to obtain the purified water state specifically includes: Obtaining standard parameter data of purified water, including standard pH data of purified water, standard hardness data of purified water, and standard organic matter content data of purified water; Obtaining real-time parameter data of purified water, including real-time pH data of purified water, real-time hardness data of purified water, and real-time organic matter content data of purified water; Inputting the purified water standard pH data, purified water standard hardness data, purified water standard organic matter content data, purified water real-time pH data, purified water real-time hardness data and purified water real-time organic matter content data into a preset purification effect evaluation model for processing to obtain purification degree relative value data; Comparing the relative value data of the degree of purification with a preset purification state evaluation threshold to obtain a purified water state; Extracting a third threshold and a fourth threshold according to a preset purification state evaluation threshold, wherein the third threshold is greater than the fourth threshold; comparing the purification degree relative value data with the third threshold value and the fourth threshold value; If the relative value data of the degree of purification is greater than the third threshold value, the state of the purified water is a high-quality state; If the relative value data of the degree of purification is greater than the fourth threshold value and less than or equal to the third threshold value, the purified water state is a qualified state; If the relative value data of the degree of purification is less than or equal to the fourth threshold, the purified water state is a non-standard state.

[0031] It should be noted that the purified water standard data is determined according to the purpose of purified water, and refers to the standard parameters of the water to be purified, including the standard pH data of purified water, the standard hardness data of purified water and the standard organic matter content data of purified water; the purified water real-time parameter data refers to the real-time data of purified water obtained in the actual purification work; the purification degree relative value data can reflect the purification effect state of purified water to a certain extent; the purification effect evaluation model is obtained by training based on a large amount of historical data, and the purification degree relative value data can be calculated through the model; the purification degree relative value data refers to the ratio of the actual purification degree data to the standard purification degree data. The larger the purification degree data, the better the water purification; in this embodiment, the purification state evaluation threshold is set as: when the purification degree relative value data is greater than 1.1, the purified water state is in a high-quality state; (0.9, 1.1], the purified water state is in a qualified state; (0, 0.9], the purified water state is not up to standard; when the calculated purification degree relative value data is 0.95, the purified water state is in a qualified state.

[0032] According to an embodiment of the present invention, the lime dosage is adjusted according to the purified water state in combination with the purification degree relative value data and the lime dosage demand data, specifically including: Determine the state of the purified water. If the state of the purified water is qualified, the lime dosage demand data is not adjusted. If the purified water is in a high-quality state, the lime dosage reduction amount is obtained according to the relative value data of the purification degree and the lime dosage requirement data; If the purified water state is not up to standard, the lime addition increase is obtained by processing the relative value data of the purification degree and the lime addition demand data.

[0033] It should be noted that after obtaining the purified water status, in order to more accurately and reasonably adjust the lime dosage, the purified water status is judged. If it is a qualified state, it means that the lime dosage is reasonable. If it is a high-quality state, it means that the purification effect is higher than the required standard, the lime dosage is too much, and the lime dosage needs to be reduced; if it is a substandard state, it means that the purification effect is not ideal, the lime dosage is too little, and the lime dosage needs to be increased; The change in lime dosage refers to the increase or decrease in lime dosage. The calculation formula for the change in lime dosage is: ; in, is the amount of lime added, is the relative value data of purification degree, is the lime dosage requirement data, It is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset intelligent lime dosing control platform).

[0034] The present invention also discloses an intelligent lime dosing control system, comprising a memory and a processor, wherein the memory stores an intelligent lime dosing control method program, and when the intelligent lime dosing control method program is executed by the processor, the following steps are implemented: Obtaining historical average water flow parameter data of the water to be purified, historical average lime usage data and a preset number of real-time water flow parameter data, and calculating effective water flow parameter data based on the real-time water flow parameter data; Obtaining lime estimated usage data according to the historical water flow parameter data, the historical average lime usage data and the effective water flow parameter data; Obtain lime performance parameter data and lime average reaction time data, and obtain lime effective utilization rate data according to the lime performance parameter data and lime average reaction time data; The lime dosage requirement data of the water flow to be purified is obtained by processing the lime effective utilization rate data and the lime estimated usage data, and the screw conveyor level data is determined after processing the lime dosage requirement data and performing threshold comparison; Obtaining purified water standard parameter data and purified water real-time parameter data, processing the purified water standard parameter data and purified water real-time parameter data to obtain purification degree relative value data, and performing threshold comparison to obtain purified water status; The amount of lime added is adjusted according to the purified water state combined with the relative value data of the purification degree and the lime addition demand data.

[0035] It should be noted that the water to be purified refers to the water to be treated by the water plant or the wastewater treatment plant. Since the treatment capacity of the water plant or the wastewater treatment plant is generally relatively fixed, the demand for lime addition will also be relatively fixed. It is of good reference to obtain the historical average water flow parameter data and the historical average lime usage data of the water to be purified. The effective water flow parameter data can better reflect the parameters of the current water to be purified. The estimated lime usage data refers to the data that can reflect the estimated demand for lime obtained by processing the historical water flow parameter data, the historical average lime usage data and the effective water flow parameter data. The nature of the lime itself has a variety of influencing parameters. It is necessary to obtain the lime performance parameter data and The data of the average reaction time of lime is processed to obtain the data of the effective utilization rate of lime, and then the data of the effective utilization rate of lime and the estimated amount of lime are processed to obtain the data of the demand for lime addition. After the data of the demand for lime addition is determined, the threshold value comparison is performed to determine the grade data of the screw conveyor. Different grades refer to the ability to transport different amounts of lime in the same time. After adding lime, the standard parameter data of purified water and the real-time parameter data of purified water are obtained and processed to obtain the relative value data of the degree of purification. The relative value data of the degree of purification is compared through the threshold value to obtain the state of purified water, and the amount of lime added is adjusted according to the state of purified water, so as to achieve the purpose of saving lime or enhancing the purification effect.

[0036] According to an embodiment of the present invention, the step of obtaining historical average water flow parameter data of the water to be purified, historical average lime usage data, and a preset number of real-time water flow parameter data, and calculating effective water flow parameter data based on the real-time water flow parameter data, specifically includes: Obtaining historical average water flow parameter data and historical average lime consumption data of the water to be purified, wherein the historical average water flow parameter data includes historical pH average data, historical hardness average data, historical organic matter content average data, and historical water flow average data; Obtaining a preset amount of real-time water flow parameter data of the water to be purified, including real-time pH data, real-time hardness data, real-time organic matter content data, and real-time water flow data; According to the real-time pH data, real-time hardness data, real-time organic matter content data and real-time water flow data, average values ​​are respectively calculated to obtain effective pH mean data, effective hardness mean data, effective organic matter content data and effective water flow mean data.

[0037] It should be noted that since the location of the factory is fixed, the quality and quantity of tap water or wastewater that needs to be purified are generally relatively fixed. Therefore, obtaining historical data has a certain reference significance for calculating the amount of lime added. The historical average water flow parameter data refers to the average value obtained based on the water flow parameters within the preset historical time period, because the average value can better and more stably reflect the water flow parameters. The historical average lime usage data refers to the average value of the amount of lime added within the historical preset time period; the water to be purified itself has multiple influencing factors, including pH data, water hardness data, and organic matter content data. In addition, the water flow rate also affects the subsequent demand for lime addition.

[0038] According to an embodiment of the present invention, the processing of obtaining the estimated lime usage data according to the historical water flow parameter data, the historical average lime usage data and the effective water flow parameter data specifically includes: Obtaining a historical water quality characteristic index based on the historical pH mean data, historical hardness mean data, historical organic matter content mean data, and historical water flow mean data; Obtaining an effective water quality characteristic index according to the effective pH mean data, effective hardness mean data, effective organic matter content data and effective water flow mean data; Divide the effective water quality characteristic index by the historical water quality characteristic index, and then multiply it by the historical average lime usage data to obtain the estimated lime usage data.

[0039] It should be noted that after obtaining the historical water flow parameter data, the historical water quality characteristic data can be processed to obtain the water quality characteristic data, which is a comprehensive evaluation response of the water to be purified. The corresponding lime demand can be determined based on the water quality characteristic data; the effective water quality characteristic index of the current water to be purified is obtained by processing the effective pH mean data, the effective hardness mean data, the effective organic matter content data and the effective water flow mean data; after dividing the effective water quality characteristic index by the historical water quality characteristic index, the relative value of the water quality characteristic is obtained, which can reflect the degree of change between the historical water quality and the current water quality. The relative value of the water quality characteristic is multiplied by the historical average lime usage data to obtain the estimated lime usage data; in this example, the hardness data refers to the temporary hardness of the water to be purified caused by substances such as calcium bicarbonate and magnesium bicarbonate in the water. If the temporary hardness of the water is high, that is, the content of calcium bicarbonate and magnesium bicarbonate is high, more lime is needed to remove these substances and reduce the hardness of the water; organic matter in the water will consume lime, and water with a high organic matter content usually requires more lime to achieve the purpose of purification; The calculation formula for the estimated lime consumption data is: ; in, The estimated amount of lime is: is the historical average lime consumption data, , , , They are the effective pH mean data, effective hardness mean data, effective organic matter content data, and effective water flow mean data. , , , They are historical pH average data, historical hardness average data, historical organic matter content average data, and historical water flow average data. , , , , They are respectively preset characteristic coefficients (the characteristic coefficients are obtained by querying the preset intelligent lime dosing control platform).

[0040] According to an embodiment of the present invention, the step of obtaining lime performance parameter data and lime average reaction time data, and obtaining lime effective utilization rate data according to the lime performance parameter data and lime average reaction time data, specifically includes: Obtain lime performance parameter data and lime average reaction time data, the lime performance parameter data including lime purity data, lime particle size data, lime activity data and lime water content data; The lime performance parameter data including lime purity data, lime particle size data, lime activity data, lime water content data and lime average reaction time data are input into a preset lime effectiveness evaluation model for processing to obtain lime effective utilization rate data.

[0041] It should be noted that the lime purity data refers to the content of effective ingredients (such as calcium hydroxide or calcium oxide). The higher the purity, the better the treatment effect. The size of lime particles will affect its dissolution rate and dispersion in the treatment medium, so the size of lime particles also has a certain impact on the effective utilization efficiency of lime. The activity of lime is mainly related to the ability of calcium oxide (CaO) to convert into calcium hydroxide (Ca (OH)2). Lime with high activity can react with water more quickly to generate calcium hydroxide, thereby playing its role in adjusting pH or other treatment functions more quickly. The water content of lime will affect its fluidity and reaction activity. High water content will also reduce the content of effective ingredients in lime, affecting its treatment effect. The lime validity evaluation model is obtained by training based on a large amount of historical data. Through this model, the effective utilization rate data of lime can be calculated. The calculation formula for lime effective utilization rate data in the lime effectiveness evaluation model is: ; in, is the effective utilization rate of lime, is the average reaction time of lime, , , , They are lime purity data, lime particle size data, lime activity data, and lime water content data. , , , , They are respectively preset characteristic coefficients (the characteristic coefficients are obtained by querying the preset intelligent lime dosing control platform).

[0042] According to an embodiment of the present invention, the lime dosage requirement data of the water flow to be purified is obtained according to the lime effective utilization rate data and the lime estimated usage data, and the lime dosage requirement data is processed and compared with the threshold value to determine the screw conveyor level data, specifically including: The lime effective utilization rate data is multiplied by the estimated lime usage data to obtain the lime addition demand data, and the lime addition demand data is divided by the preset screw conveyor standard carrying capacity to obtain the carrying capacity ratio data; The carrying capacity ratio data is compared with the preset lime addition conveying level threshold to obtain the screw conveyor level data; Extracting a first threshold value and a second threshold value according to a preset lime addition and conveying level threshold value, and the first threshold value is greater than the second threshold value; Comparing the carrying capacity ratio data with the first threshold and the second threshold; If the carrying volume ratio data is greater than the first threshold value, the screw conveyor gear level data is high-speed gear level data; If the carrying volume proportion data is greater than the second threshold value and less than or equal to the first threshold value, the screw conveyor gear level data is medium speed gear level data; If the carrying volume proportion data is less than or equal to the second threshold value, the screw conveyor gear level data is low-speed gear level data; The screw conveyor automatically adjusts the conveying gear according to the screw conveyor gear data.

[0043] It should be noted that due to the influence of lime effective utilization rate data, it is necessary to correct the estimated lime usage data. The lime addition demand data is obtained by multiplying the two. After obtaining the lime addition demand data, since lime addition is achieved through a screw conveyor, the screw conveyor needs to be adjusted to different gears when adding different orders of magnitude of lime. In order to be able to automatically adjust the gear, it is necessary to divide the lime addition demand data by the standard carrying capacity of the screw conveyor to obtain the carrying capacity ratio data. The carrying capacity ratio data reflects the transportation speed of the screw conveyor to a certain extent; the carrying capacity ratio The data is compared with the preset lime adding and conveying level threshold, and the screw conveyor level data is obtained according to the comparison result. The lime adding and conveying level threshold can be set according to the actual user's usage. In this embodiment, the lime adding and conveying level threshold is set to: (0.85, 1], the screw conveyor level data is high-speed level data; (0.6, 0.85], the screw conveyor level data is medium-speed level data; (0, 0.6], the screw conveyor level data is low-speed level data; when the calculated carrying capacity ratio data is 0.9, the screw conveyor level data is high-speed level data.

[0044] According to an embodiment of the present invention, the step of obtaining the purified water standard parameter data and the purified water real-time parameter data, obtaining the purification degree relative value data according to the purified water standard parameter data and the purified water real-time parameter data, and performing threshold comparison to obtain the purified water state specifically includes: Obtaining standard parameter data of purified water, including standard pH data of purified water, standard hardness data of purified water, and standard organic matter content data of purified water; Obtaining real-time parameter data of purified water, including real-time pH data of purified water, real-time hardness data of purified water, and real-time organic matter content data of purified water; Inputting the purified water standard pH data, purified water standard hardness data, purified water standard organic matter content data, purified water real-time pH data, purified water real-time hardness data and purified water real-time organic matter content data into a preset purification effect evaluation model for processing to obtain purification degree relative value data; Comparing the relative value data of the degree of purification with a preset purification state evaluation threshold to obtain a purified water state; Extracting a third threshold and a fourth threshold according to a preset purification state evaluation threshold, wherein the third threshold is greater than the fourth threshold; comparing the purification degree relative value data with the third threshold value and the fourth threshold value; If the relative value data of the degree of purification is greater than the third threshold value, the state of the purified water is a high-quality state; If the relative value data of the degree of purification is greater than the fourth threshold value and less than or equal to the third threshold value, the purified water state is a qualified state; If the relative value data of the degree of purification is less than or equal to the fourth threshold, the purified water state is a non-standard state.

[0045] It should be noted that the purified water standard data is determined according to the purpose of purified water, and refers to the standard parameters of the water to be purified, including the standard pH data of purified water, the standard hardness data of purified water and the standard organic matter content data of purified water; the purified water real-time parameter data refers to the real-time data of purified water obtained in the actual purification work; the purification degree relative value data can reflect the purification effect state of purified water to a certain extent; the purification effect evaluation model is obtained by training based on a large amount of historical data, and the purification degree relative value data can be calculated through the model; the purification degree relative value data refers to the ratio of the actual purification degree data to the standard purification degree data. The larger the purification degree data, the better the water purification; in this embodiment, the purification state evaluation threshold is set as: when the purification degree relative value data is greater than 1.1, the purified water state is in a high-quality state; (0.9, 1.1], the purified water state is in a qualified state; (0, 0.9], the purified water state is not up to standard; when the calculated purification degree relative value data is 0.95, the purified water state is in a qualified state.

[0046] According to an embodiment of the present invention, the lime dosage is adjusted according to the purified water state in combination with the purification degree relative value data and the lime dosage demand data, specifically including: Determine the state of the purified water. If the state of the purified water is qualified, the lime dosage demand data is not adjusted. If the purified water is in a high-quality state, the lime dosage reduction amount is obtained according to the relative value data of the purification degree and the lime dosage requirement data; If the purified water state is not up to standard, the lime addition increase is obtained by processing the relative value data of the purification degree and the lime addition demand data.

[0047] It should be noted that after obtaining the purified water status, in order to more accurately and reasonably adjust the lime dosage, the purified water status is judged. If it is a qualified state, it means that the lime dosage is reasonable. If it is a high-quality state, it means that the purification effect is higher than the required standard, the lime dosage is too much, and the lime dosage needs to be reduced; if it is a substandard state, it means that the purification effect is not ideal, the lime dosage is too little, and the lime dosage needs to be increased; The change in lime dosage refers to the increase or decrease in lime dosage. The calculation formula for the change in lime dosage is: ; in, is the amount of lime added, is the relative value data of purification degree, is the lime dosage requirement data, It is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset intelligent lime dosing control platform).

[0048] A third aspect of the present invention provides a readable storage medium, which includes an intelligent lime addition control method program. When the intelligent lime addition control method program is executed by a processor, the steps of an intelligent lime addition control method as described in any one of the above items are implemented.

[0049] The present invention discloses an intelligent lime dosing control method, system and medium. The method obtains real-time water flow data and calculates effective water flow parameter data, combines the obtained historical average water flow parameter data and the historical average lime usage data to obtain estimated lime usage data, obtains lime performance parameter data and lime average reaction time data and processes them to obtain lime effective utilization rate data, obtains lime dosing demand data by processing the lime effective utilization rate data and the estimated lime usage data, and then obtains the screw conveyor level data by threshold comparison. Finally, according to the purified water standard parameter data and the purified water real-time parameter data, the purified water state is obtained by threshold comparison, and then the lime dosing demand data is adjusted. Therefore, the intelligent lime dosing is realized by calculating the estimated lime usage data, the lime effective utilization rate data, the lime dosing demand data and determining the purified water state.

[0050] 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.

[0051] 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.

[0052] 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.

[0053] 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.

[0054] 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, characterized in that: include: Obtaining historical average water flow parameter data of the water to be purified, historical average lime usage data and a preset number of real-time water flow parameter data, and calculating effective water flow parameter data based on the real-time water flow parameter data; Obtaining lime estimated usage data according to the historical water flow parameter data, the historical average lime usage data and the effective water flow parameter data; Obtain lime performance parameter data and lime average reaction time data, and obtain lime effective utilization rate data according to the lime performance parameter data and lime average reaction time data; The lime dosage requirement data of the water flow to be purified is obtained by processing the lime effective utilization rate data and the lime estimated usage data, and the screw conveyor level data is determined after processing the lime dosage requirement data and performing threshold comparison; Obtaining purified water standard parameter data and purified water real-time parameter data, processing the purified water standard parameter data and purified water real-time parameter data to obtain purification degree relative value data, and performing threshold comparison to obtain purified water status; The amount of lime added is adjusted according to the purified water state combined with the relative value data of the purification degree and the lime addition demand data.

2. The intelligent lime dosing control method according to claim 1, characterized in that: The step of obtaining historical average water flow parameter data of the water to be purified, historical average lime usage data and a preset number of real-time water flow parameter data, and calculating effective water flow parameter data based on the real-time water flow parameter data, specifically includes: Obtaining historical average water flow parameter data and historical average lime consumption data of the water to be purified, wherein the historical average water flow parameter data includes historical pH average data, historical hardness average data, historical organic matter content average data, and historical water flow average data; Obtaining a preset amount of real-time water flow parameter data of the water to be purified, including real-time pH data, real-time hardness data, real-time organic matter content data, and real-time water flow data; According to the real-time pH data, real-time hardness data, real-time organic matter content data and real-time water flow data, average values ​​are respectively calculated to obtain effective pH mean data, effective hardness mean data, effective organic matter content data and effective water flow mean data.

3. The intelligent lime dosing control method according to claim 2 is characterized in that: The step of obtaining the estimated lime usage data according to the historical water flow parameter data, the historical average lime usage data and the effective water flow parameter data specifically includes: Obtaining a historical water quality characteristic index based on the historical pH mean data, historical hardness mean data, historical organic matter content mean data, and historical water flow mean data; Obtaining an effective water quality characteristic index according to the effective pH mean data, effective hardness mean data, effective organic matter content data and effective water flow mean data; Divide the effective water quality characteristic index by the historical water quality characteristic index, and then multiply it by the historical average lime usage data to obtain the estimated lime usage data.

4. The intelligent lime dosing control method according to claim 3 is characterized in that: The step of obtaining lime performance parameter data and lime average reaction time data, and obtaining lime effective utilization rate data according to the lime performance parameter data and lime average reaction time data, specifically includes: Obtain lime performance parameter data and lime average reaction time data, the lime performance parameter data including lime purity data, lime particle size data, lime activity data and lime water content data; The lime performance parameter data including lime purity data, lime particle size data, lime activity data, lime water content data and lime average reaction time data are input into a preset lime effectiveness evaluation model for processing to obtain lime effective utilization rate data.

5. The intelligent lime dosing control method according to claim 4 is characterized in that: The lime dosage requirement data of the water flow to be purified is obtained by processing the lime effective utilization rate data and the lime estimated usage data, and the screw conveyor level data is determined after processing the lime dosage requirement data and performing threshold comparison, specifically including: The lime effective utilization rate data is multiplied by the estimated lime usage data to obtain the lime addition demand data, and the lime addition demand data is divided by the preset screw conveyor standard carrying capacity to obtain the carrying capacity ratio data; The carrying capacity ratio data is compared with the preset lime addition conveying level threshold to obtain the screw conveyor level data; Extracting a first threshold value and a second threshold value according to a preset lime addition and conveying level threshold value, and the first threshold value is greater than the second threshold value; Comparing the carrying capacity ratio data with the first threshold and the second threshold; If the carrying volume ratio data is greater than the first threshold value, the screw conveyor gear level data is high-speed gear level data; If the carrying volume proportion data is greater than the second threshold value and less than or equal to the first threshold value, the screw conveyor gear level data is medium speed gear level data; If the carrying volume proportion data is less than or equal to the second threshold value, the screw conveyor gear level data is low-speed gear level data; The screw conveyor automatically adjusts the conveying gear according to the screw conveyor gear data.

6. The intelligent lime dosing control method according to claim 5 is characterized in that: The obtaining of purified water standard parameter data and purified water real-time parameter data, obtaining purification degree relative value data according to the purified water standard parameter data and purified water real-time parameter data, and performing threshold comparison to obtain purified water status specifically includes: Obtaining standard parameter data of purified water, including standard pH data of purified water, standard hardness data of purified water, and standard organic matter content data of purified water; Obtaining real-time parameter data of purified water, including real-time pH data of purified water, real-time hardness data of purified water, and real-time organic matter content data of purified water; Inputting the purified water standard pH data, purified water standard hardness data, purified water standard organic matter content data, purified water real-time pH data, purified water real-time hardness data and purified water real-time organic matter content data into a preset purification effect evaluation model for processing to obtain purification degree relative value data; Comparing the relative value data of the degree of purification with a preset purification state evaluation threshold to obtain a purified water state; Extracting a third threshold and a fourth threshold according to a preset purification state evaluation threshold, wherein the third threshold is greater than the fourth threshold; comparing the purification degree relative value data with the third threshold value and the fourth threshold value; If the relative value data of the degree of purification is greater than the third threshold value, the state of the purified water is a high-quality state; If the relative value data of the degree of purification is greater than the fourth threshold value and less than or equal to the third threshold value, the purified water state is a qualified state; If the relative value data of the degree of purification is less than or equal to the fourth threshold value, the purified water state is a non-standard state.

7. The intelligent lime dosing control method according to claim 6 is characterized in that: The step of adjusting the amount of lime added according to the purified water state in combination with the relative value data of the purification degree and the lime addition demand data specifically includes: Determine the state of the purified water. If the state of the purified water is qualified, the lime dosage demand data is not adjusted. If the purified water is in a high-quality state, the lime dosage reduction amount is obtained according to the relative value data of the purification degree and the lime dosage requirement data; If the purified water state is not up to standard, the lime addition increase is obtained by processing the relative value data of the purification degree and the lime addition demand data.

8. An intelligent lime dosing control system, characterized in that: The invention comprises a memory and a processor, wherein the memory comprises a garbage data recovery and solid-state storage optimization method program, and the garbage data recovery and solid-state storage optimization method program is executed by the processor to implement the following steps: Obtaining historical average water flow parameter data of the water to be purified, historical average lime usage data and a preset number of real-time water flow parameter data, and calculating effective water flow parameter data based on the real-time water flow parameter data; Obtaining lime estimated usage data according to the historical water flow parameter data, the historical average lime usage data and the effective water flow parameter data; Obtain lime performance parameter data and lime average reaction time data, and obtain lime effective utilization rate data based on lime performance parameter data processing; The lime dosage requirement data of the water flow to be purified is obtained by processing the lime effective utilization rate data and the lime estimated usage data, and the screw conveyor level data is determined after processing the lime dosage requirement data and performing threshold comparison; Obtaining purified water standard parameter data and purified water real-time parameter data, processing the purified water standard parameter data and purified water real-time parameter data to obtain purification degree relative value data, and performing threshold comparison to obtain purified water status; The amount of lime added is adjusted according to the purified water state combined with the relative value data of the purification degree and the lime addition demand data.

9. The intelligent lime dosing control system according to claim 8, characterized in that: The step of obtaining historical average water flow parameter data of the water to be purified, historical average lime usage data and a preset number of real-time water flow parameter data, and calculating effective water flow parameter data based on the real-time water flow parameter data, specifically includes: Obtaining historical average water flow parameter data and historical average lime consumption data of the water to be purified, wherein the historical average water flow parameter data includes historical pH average data, historical hardness average data, historical organic matter content average data, and historical water flow average data; Obtaining a preset amount of real-time water flow parameter data of the water to be purified, including real-time pH data, real-time hardness data, real-time organic matter content data, and real-time water flow data; According to the real-time pH data, real-time hardness data, real-time organic matter content data and real-time water flow data, average values ​​are respectively calculated to obtain effective pH mean data, effective hardness mean data, effective organic matter content data and effective water flow mean data.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes an intelligent lime dosing control method program. When the intelligent lime dosing control method program is executed by a processor, the steps of the intelligent lime dosing control method according to any one of claims 1 to 7 are implemented.

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