Water treatment agent processing temperature regulation and control method and system based on real-time data

Abstract

The invention belongs to the technical field of water treatment agent processing, and particularly relates to a water treatment agent processing temperature regulation and control method and system based on real-time data, and the method comprises the steps: building a temperature value time-varying model and a flow value time-varying model, and carrying out the analysis to obtain a border-crossing characterization coefficient; comparing the border-crossing characterization coefficient with a border-crossing characterization coefficient threshold value; if the border-crossing characterization coefficient is greater than or equal to the border-crossing characterization coefficient threshold value, the output flow of the liquid water treatment agent in the reaction kettle is related to the reaction temperature; if the border-crossing characterization coefficient is smaller than the border-crossing characterization coefficient threshold value, the output flow of the liquid water treatment agent in the reaction kettle is not related to the reaction temperature; according to the method, correlation analysis can be carried out on the temperature value and the liquid water treatment agent output flow data, the influence relation between the temperature value and the liquid water treatment agent output flow value is obtained, whether the liquid water treatment agent output flow in the current state is influenced by the temperature value or not is judged, and follow-up accurate adjustment is facilitated.

Description

Technical Field

[0001] The invention belongs to the technical field of water treatment agent processing, and in particular to a water treatment agent processing temperature control method and system based on real-time data. Background Art

[0002] Water treatment agent is a general term for a class of chemical agents used for water treatment, which aims to remove most harmful substances in water, such as corrosives, metal ions, dirt and microorganisms, in order to obtain civil or industrial water that meets the requirements; as environmental problems become increasingly serious, the discharge of industrial wastewater and domestic sewage continues to increase, and the demand for water treatment agents continues to increase.

[0003] In the production process of water treatment agents, temperature control has an important impact on product quality and production efficiency. Existing temperature control methods usually rely on manual operation or simple automated equipment, which is difficult to achieve precise control and easily leads to unstable product quality, high energy consumption and environmental pollution.

[0004] To this end, the present invention provides a method and system for controlling the processing temperature of a water treatment agent based on real-time data. Summary of the invention

[0005] In order to make up for the deficiencies of the prior art, at least one technical problem raised in the background technology is solved.

[0006] The technical solution adopted by the present invention to solve the technical problem is: the water treatment agent processing temperature control method based on real-time data of the present invention comprises:

[0007] S1: Monitor the output flow data of the liquid water treatment agent per unit time through the flow sensor, and monitor the temperature data in the reactor in real time through the temperature sensor;

[0008] S2: The monitored flow data and temperature data are transmitted to the data processing module; the data processing module obtains the preset output flow of the liquid water treatment agent at the corresponding real-time temperature from the database, obtains the absolute value of the difference between the real-time output flow and the preset output flow, obtains the flow difference LC, and compares the flow difference LC with the flow difference threshold; generates a normal response signal, a signal to be adjusted, and an equipment failure signal;

[0009] S3: Based on the signal to be adjusted, set the acquisition cycle, and establish a temperature value change over time model and a flow value change over time model;

[0010] S4: Taking the reaction time of the reactor as the analysis object, analyzing the influence relationship between the output flow rate of the liquid water treatment agent and the reaction temperature during the reaction process, and obtaining a temperature influence signal or a temperature no influence signal;

[0011] S5: Based on the temperature influence signal, calculate the difference between the out-of-bounds characterization coefficient YJ and the out-of-bounds characterization coefficient threshold BY to obtain the out-of-bounds characterization coefficient difference YC, and adjust the temperature of the reactor according to the temperature adjustment level corresponding to the out-of-bounds characterization coefficient difference.

[0012] Preferably, a comparison table of temperature and the output flow rate of liquid water treatment agent is stored in the database.

[0013] It can be understood that the comparison table of temperature and the output flow rate of liquid water treatment agent stored in the database is based on historical data and obtained through big data calculation by an artificial intelligence model.

[0014] Preferably, the flow rate difference threshold includes a first flow rate difference threshold LLD1 and a second flow rate difference threshold LLD2 (both the first flow rate difference threshold LLD1 and the second flow rate difference threshold LLD2 are summarized by those skilled in the art according to historical experience); where LLD1 < LLD2;

[0015] If the flow rate difference LC is less than or equal to the first flow rate difference threshold LLD1, it indicates that the data is normal, and a reaction normal signal is generated;

[0016] If LLD1 < flow rate difference LC < LLD2, it indicates that the data is abnormal, and a signal to be adjusted is generated;

[0017] If LLD2 ≤ flow rate difference LC, it indicates a reactor failure, and an equipment failure signal is generated, and shutdown for maintenance is required.

[0018] Preferably, establish a model of temperature value changing with time, specifically:

[0019] Set the acquisition period. With time as the X-axis and the temperature value as the Y-axis, establish a model of temperature value changing with time, substitute the real-time temperature value into the model of temperature value changing with time, and draw a temperature value curve; set a first temperature threshold and a second temperature threshold, where the first temperature threshold is less than the second temperature threshold, and draw the first temperature threshold and the second temperature threshold in the model of temperature value changing with time.

[0020] Preferably, establish a model of temperature value changing with time, specifically:

[0021] Set the acquisition period. With time as the X-axis and the output flow rate data of liquid water treatment agent as the Y-axis, establish a model of flow rate value changing with time, substitute the real-time flow rate value into the model of flow rate value changing with time, and draw a flow rate value curve; draw a first flow rate threshold line and a second flow rate threshold line in the model of flow rate value changing with time; where the first flow rate threshold line is below the second flow rate threshold line.

[0022] Preferably, the reaction time of the reactor is taken as the analysis object, and the influence relationship between the output flow rate of the liquid water treatment agent and the reaction temperature during the reaction process is analyzed, specifically:

[0023] In the temperature value variation over time model, the area where the temperature value in the acquisition period is above the second temperature threshold is recorded as the over-temperature area, and the area where the temperature value in the acquisition period is below the first temperature threshold is recorded as the under-temperature area;

[0024] Get the total time CWT corresponding to the over-temperature area and the total time XWT corresponding to the under-temperature area;

[0025] In the flow value variation over time model, the area where the flow value in the acquisition period is above the second flow threshold straight line is recorded as the super flow area, and the total time CLT of the super flow area is obtained; and the area where the flow value in the acquisition period is below the first flow threshold is recorded as the low flow area, and the total time XLT of the low flow area is obtained;

[0026] Compare the time period corresponding to the over-temperature area with the time period corresponding to the over-temperature area:

[0027] Obtain the overlap period of the period corresponding to the over-temperature area and the period corresponding to the over-temperature area, recorded as the over-temperature flow overlap period CWLT;

[0028] The total time of the superflow region CLT is summed with the total time of the overtemperature region CWT to obtain the total time of the supertemperature flow. The ratio of the supertemperature flow overlap period CWLT to the total time of the supertemperature flow is calculated to obtain the supertemperature flow overlap characterization value CBZ.

[0029] Compare the time period corresponding to the low flow area with the time period corresponding to the lower temperature area:

[0030] Obtain the overlapping period between the period corresponding to the low flow area and the period corresponding to the lower temperature area, recorded as the low temperature flow overlapping period DWLT;

[0031] Sum the total time XLT of the low flow area and the total time XWT corresponding to the lower temperature area to obtain the total time of low temperature flow, obtain the ratio of the low temperature flow overlap period DWLT to the total time of low temperature flow, and obtain the low temperature flow overlap characterization value DBZ;

[0032] The over-temperature flow coincidence characterization value CBZ and the low-temperature flow coincidence characterization value DBZ are used to obtain the out-of-bounds characterization coefficient YJ through the formula YJ=a1×CBZ+a2×DBZ, where a1 and a2 are preset proportional coefficients, and a1+a2=1, a1 is 0.56, and a2 is 0.44.

[0033] The out-of-bounds characterization coefficient YJ is compared with the out-of-bounds characterization coefficient threshold BY to obtain a temperature impact signal or a temperature no-impact signal.

[0034] Preferably, the out-of-bounds characterization coefficient YJ is compared with the out-of-bounds characterization coefficient threshold BY, specifically:

[0035] If the out-of-bounds characterization coefficient YJ is greater than or equal to the out-of-bounds characterization coefficient threshold BY, it indicates that the output flow rate of the liquid water treatment agent in the reactor is related to the reaction temperature, and a temperature influence signal is generated;

[0036] If the out-of-bounds characterization coefficient YJ is less than the out-of-bounds characterization coefficient threshold BY, it indicates that the output flow rate of the liquid water treatment agent in the reactor is not related to the reaction temperature, and the generated temperature has no influence signal.

[0037] Preferably, the temperature of the reactor is adjusted according to the temperature adjustment level corresponding to the cross-boundary characterization coefficient difference YC, specifically:

[0038] Set several temperature adjustment levels, marked as WDT i ,i=1,2,…,6; and WDT 1 <WDT 2 <…<WDT 6 ; Different temperature adjustment levels correspond to different electrical output powers to adjust the level of heat generation;

[0039] Set each temperature regulation level WDT i Each corresponds to an out-of-bounds representation coefficient difference range; specifically:

[0040] WDT 1 The corresponding cross-border characterization coefficient difference range is (0, Y 1 ], WDT 2 The corresponding cross-border characterization coefficient difference range is (Y 1 , Y 2 ], …, WDT 6 The corresponding cross-border characterization coefficient difference range is (Y 5 , Y 6 ]; where 0<Y 1 <Y 2 <…<Y 6 ;

[0041] When YC∈(Y i-1 , Y i ], the flow threshold corresponding to the cross-border coefficient difference range is WDT i .

[0042] Preferably, the water treatment agent processing temperature control system based on real-time data includes:

[0043] The data acquisition module is used to monitor the output flow data of the liquid water treatment agent per unit time through a flow sensor, and to monitor the temperature data in the reactor in real time through a temperature sensor;

[0044] The data processing and analysis module obtains the preset output flow of the liquid water treatment agent at the corresponding real-time temperature from the database, obtains the absolute value of the difference between the real-time output flow and the preset output flow, obtains the flow difference LC, and compares the flow difference LC with the flow difference threshold; generates a normal reaction signal, a signal to be adjusted, and an equipment failure signal; based on the signal to be adjusted, sets the acquisition cycle, establishes a temperature value variation over time model and a flow value variation over time model; takes the reaction time of the reactor as the analysis object, analyzes the influence relationship between the output flow of the liquid water treatment agent and the reaction temperature during the reaction process, and obtains a temperature influence signal or a temperature no influence signal;

[0045] The control module calculates the difference between the out-of-bounds characterization coefficient YJ and the out-of-bounds characterization coefficient threshold BY based on the temperature influence signal to obtain the out-of-bounds characterization coefficient difference YC, and adjusts the temperature of the reactor according to the temperature adjustment level corresponding to the out-of-bounds characterization coefficient difference.

[0046] The beneficial effects of the present invention are as follows:

[0047] 1. The water treatment agent processing temperature control method and system based on real-time data described in the present invention establishes a temperature value change over time model and a flow value change over time model, and analyzes and obtains an out-of-bounds characterization coefficient; compares the out-of-bounds characterization coefficient with the out-of-bounds characterization coefficient threshold; if the out-of-bounds characterization coefficient is greater than or equal to the out-of-bounds characterization coefficient threshold, it indicates that the output flow of the liquid water treatment agent in the reactor is related to the reaction temperature, and a temperature influence signal is generated; if the out-of-bounds characterization coefficient is less than the out-of-bounds characterization coefficient threshold, it indicates that the output flow of the liquid water treatment agent in the reactor is not related to the reaction temperature, and a temperature no influence signal is generated; by performing a correlation analysis on the temperature value and the liquid water treatment agent output flow data, the influence relationship between the temperature value and the liquid water treatment agent output flow value can be obtained, and it can be judged whether the current state of the liquid water treatment agent output flow is affected by the temperature value, so as to facilitate subsequent precise adjustment.

[0048] 2. The water treatment agent processing temperature control method and system based on real-time data described in the present invention can divide the out-of-bounds characterization coefficient difference into several node values, correspond each two adjacent node values ​​to a temperature control level, and correspond to a temperature control level according to which two node values ​​the actual out-of-bounds characterization coefficient difference YC belongs to. When an abnormality occurs in the reaction process of the liquid water treatment agent, the temperature can be adjusted intelligently to restore the liquid water treatment agent reaction to a normal state, thereby improving product quality stability, reducing energy consumption, and avoiding waste of raw materials and pollution of the environment. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] The present invention will be further described below in conjunction with the accompanying drawings.

[0050] Figure 1It is the method flow chart of the method for regulating the processing temperature of water treatment agent based on real-time data of the present invention;

[0051] Figure 2 It is the system principle framework diagram of the system for regulating the processing temperature of water treatment agent based on real-time data of the present invention. Specific embodiments

[0052] In order to make the technical means, creative features, achieved purposes and functions realized by the present invention easy to understand, the present invention will be further described below in conjunction with specific embodiments.

[0053] Embodiment 1

[0054] As Figure 1 shown, the method for regulating the processing temperature of water treatment agent based on real-time data described in the embodiment of the present invention includes

[0055] S1: Monitor the output flow rate data of liquid water treatment agent per unit time through a flow sensor, and at the same time monitor the temperature data in the reaction kettle in real time through a temperature sensor;

[0056] S2: Transmit the monitored flow rate data and temperature data to the data processing module; the data processing module obtains the preset output flow rate of liquid water treatment agent at the corresponding real-time temperature from the database, obtains the absolute value of the difference between the real-time output flow rate and the preset output flow rate, and obtains the flow rate difference LC. Compare the flow rate difference LC with the flow rate difference threshold; the flow rate difference threshold includes a first flow rate difference threshold LLD1 and a second flow rate difference threshold LLD2 (both the first flow rate difference threshold LLD1 and the second flow rate difference threshold LLD2 are summarized by those skilled in the art according to historical experience); among them, LLD1 < LLD2;

[0057] If the flow rate difference LC is less than or equal to the first flow rate difference threshold LLD1, it indicates that the data is normal, and a reaction normal signal is generated;

[0058] If LLD1 < flow rate difference LC < LLD2, it indicates that the data is abnormal, and a signal to be adjusted is generated;

[0059] If LLD2 ≤ flow rate difference LC, it indicates that the reaction kettle is faulty, and a device fault signal is generated, and shutdown for maintenance is required;

[0060] It should be noted that the flow difference is the absolute value of the difference between the real-time output flow and the preset output flow. Under the condition that other factors are the same, there will be a maximum value for the output flow of the water treatment agent at the corresponding temperature. However, in the actual production process, it is difficult to achieve this condition 100%. Therefore, the preset output flow is obtained under the condition that the actual reaction conditions are easy to reach. Therefore, there is a situation where the real-time output flow is greater than the difference between the preset output flows, but it will not exceed the difference between the maximum output flow and the preset output flow of the water treatment agent output flow, that is, LLD1. When the flow difference LC is less than or equal to the first flow difference threshold LLD1, a normal reaction signal is generated. The signal to be adjusted is generated when LLD1 < flow difference LC < LLD2. The output flow of the water treatment agent is abnormal, but not particularly large, and further judgment is required. There is a possibility of adjustment and recovery by adjusting the parameters of the reaction kettle. When LLD2 ≤ flow difference LC, it indicates that the reaction kettle is faulty and cannot be recovered only by adjusting the parameters of the reaction kettle. Continuing production will cause a large amount of waste of raw materials. Therefore, an equipment failure signal is generated and shutdown for maintenance is required.

[0061] S3: Based on the signal to be adjusted, set the acquisition period. With time as the X-axis and the temperature value as the Y-axis, establish a model of the temperature value changing with time. Substitute the real-time temperature value into the model of the temperature value changing with time and draw the temperature value curve.

[0062] Set the first temperature threshold and the second temperature threshold (both the first temperature threshold and the second temperature threshold are summarized by those skilled in the art based on historical experience). The first temperature threshold is less than the second temperature threshold, and plot the first temperature threshold and the second temperature threshold in the model of the temperature value changing with time.

[0063] With time as the X-axis and the output flow data of the liquid water treatment agent as the Y-axis, establish a model of the flow value changing with time. Substitute the real-time flow value into the model of the flow value changing with time and draw the flow value curve. Draw the first flow threshold line and the second flow threshold line in the model of the flow value changing with time. The first flow threshold line is located below the second flow threshold line.

[0064] It can be understood that by establishing a model of the temperature value changing with time, marking the temperature change data with time within the acquisition period in the model to obtain the temperature value curve, and setting the first temperature threshold and the second temperature threshold in the model of the temperature value changing with time. The first temperature threshold and the second temperature threshold are respectively the range intervals of the known standard reaction temperature. Then, through the model of the flow value changing with time, marking the real-time flow value change data with time within the acquisition period in the model to obtain the flow value curve, and drawing the first flow threshold line and the second flow threshold line in the model of the flow value changing with time. The first flow threshold line and the second flow threshold line are the output flow intervals under the standard reaction temperature.

[0065] S4: Taking the reaction time of the reactor as the analysis object, the influence relationship between the output flow rate of the liquid water treatment agent and the reaction temperature during the reaction process is analyzed to obtain a temperature influence signal;

[0066] In a specific embodiment, in the temperature value variation over time model, the area where the temperature value in the acquisition period is above the second temperature threshold is recorded as the over-temperature area, and the area where the temperature value in the acquisition period is below the first temperature threshold is recorded as the under-temperature area;

[0067] Get the total time CWT corresponding to the over-temperature area and the total time XWT corresponding to the under-temperature area;

[0068] In the flow value variation over time model, the area where the flow value in the acquisition period is above the second flow threshold straight line is recorded as the super flow area, and the total time CLT of the super flow area is obtained; and the area where the flow value in the acquisition period is below the first flow threshold is recorded as the low flow area, and the total time XLT of the low flow area is obtained;

[0069] Compare the time period corresponding to the over-temperature area with the time period corresponding to the over-temperature area:

[0070] Obtain the overlap period of the period corresponding to the over-temperature area and the period corresponding to the over-temperature area, recorded as the over-temperature flow overlap period CWLT;

[0071] The total time of the superflow region CLT is summed with the total time of the overtemperature region CWT to obtain the total time of the supertemperature flow. The ratio of the supertemperature flow overlap period CWLT to the total time of the supertemperature flow is calculated to obtain the supertemperature flow overlap characterization value CBZ.

[0072] Compare the time period corresponding to the low flow area with the time period corresponding to the lower temperature area:

[0073] Obtain the overlapping period between the period corresponding to the low flow area and the period corresponding to the lower temperature area, recorded as the low temperature flow overlapping period DWLT;

[0074] Sum the total time XLT of the low flow area and the total time XWT corresponding to the lower temperature area to obtain the total time of low temperature flow, obtain the ratio of the low temperature flow overlap period DWLT to the total time of low temperature flow, and obtain the low temperature flow overlap characterization value DBZ;

[0075] The over-temperature flow coincidence characterization value CBZ and the low-temperature flow coincidence characterization value DBZ are used to obtain the out-of-bounds characterization coefficient YJ through the formula YJ=a1×CBZ+a2×DBZ, where a1 and a2 are preset proportional coefficients, and a1+a2=1, a1 is 0.56, and a2 is 0.44.

[0076] Compare the out-of-bounds characterization coefficient YJ with the out-of-bounds characterization coefficient threshold BY (the out-of-bounds characterization coefficient threshold is obtained by those skilled in the art based on historical experience):

[0077] If the out-of-bounds characterization coefficient YJ is greater than or equal to the out-of-bounds characterization coefficient threshold BY, it indicates that the output flow rate of the liquid water treatment agent in the reactor is related to the reaction temperature, and a temperature influence signal is generated;

[0078] If the out-of-bounds characterization coefficient YJ is less than the out-of-bounds characterization coefficient threshold BY, it indicates that the output flow rate of the liquid water treatment agent in the reactor is not related to the reaction temperature, and the generated temperature has no influence signal.

[0079] Specifically, the technical solution of this embodiment is: based on the signal to be adjusted, in the temperature value variation over time model, the area where the temperature value in the acquisition period is above the second temperature threshold is recorded as the over-temperature area, and the area where the temperature value in the acquisition period is below the first temperature threshold is recorded as the lower temperature area; in the flow value variation over time model, the area where the flow value in the acquisition period is above the second flow threshold straight line is recorded as the super-flow area, and the area where the flow value in the acquisition period is below the first flow threshold is recorded as the low-flow area; when obtaining in the over-temperature area, the flow value data is also in the super-flow area overlap time period, and the over-temperature flow overlap time period is obtained, and the ratio of the over-temperature flow overlap time period to the over-temperature flow total time is calculated to obtain the over-temperature flow overlap characterization value; when obtaining the lower temperature area, the overlap time period corresponding to the low flow area is recorded as the low-temperature flow overlap time period; the ratio of the low-temperature flow overlap time period to the low-temperature flow total time is calculated to obtain the low-temperature flow overlap characterization value The out-of-bounds characterization coefficient YJ is calculated and analyzed by the over-temperature flow coincidence characterization value and the low-temperature flow coincidence characterization value. The larger the out-of-bounds characterization coefficient YJ is, the greater the influence of the temperature value on the output flow rate during the reaction process is. The out-of-bounds characterization coefficient YJ is compared with the out-of-bounds characterization coefficient threshold BY. If the out-of-bounds characterization coefficient YJ is greater than or equal to the out-of-bounds characterization coefficient threshold BY, it indicates that the output flow rate of the liquid water treatment agent in the reactor is related to the reaction temperature, and a temperature influence signal is generated. If the out-of-bounds characterization coefficient YJ is less than the out-of-bounds characterization coefficient threshold BY, it indicates that the output flow rate of the liquid water treatment agent in the reactor is not related to the reaction temperature, and a temperature no influence signal is generated. The correlation analysis of the temperature value and the liquid water treatment agent output flow data can be performed to obtain the influence relationship between the temperature value and the liquid water treatment agent output flow value, and it can be judged whether the current state of the liquid water treatment agent output flow rate is affected by the temperature value, which is convenient for subsequent precise adjustment.

[0080] The database stores a temperature and liquid water treatment agent output flow comparison table.

[0081] It is understandable that the temperature and liquid water treatment agent output flow comparison table stored in the database is based on historical data and is obtained through artificial intelligence model big data verification.

[0082] Embodiment 2

[0083] S5: Based on the temperature influence signal, the out-of-bounds characterization coefficient YJ is calculated to be different from the out-of-bounds characterization coefficient threshold BY to obtain the out-of-bounds characterization coefficient difference YC, and the temperature of the reactor is adjusted according to the temperature adjustment level corresponding to the out-of-bounds characterization coefficient difference.

[0084] Specifically, the temperature of the reactor is adjusted according to the temperature adjustment level corresponding to the cross-boundary characterization coefficient difference YC, specifically:

[0085] Set several temperature adjustment levels, marked as WDT i ,i=1,2,…,6; and WDT 1 <WDT 2 <…<WDT 6 ; Different temperature adjustment levels correspond to different electrical output powers to adjust the level of heat generation;

[0086] Set each temperature regulation level WDT i Each corresponds to an out-of-bounds representation coefficient difference range; specifically:

[0087] WDT 1 The corresponding cross-border characterization coefficient difference range is (0, Y 1 ], WDT 2 The corresponding cross-border characterization coefficient difference range is (Y 1 , Y 2 ], …, WDT 6 The corresponding cross-border characterization coefficient difference range is (Y 5 , Y 6 ]; where 0<Y 1 <Y 2 <…<Y 6 ;

[0088] When YC∈(Y i-1 , Y i ], the flow threshold corresponding to the cross-border coefficient difference range is WDT i .

[0089] In a specific embodiment, the out-of-bounds characterization coefficient difference YC is obtained by calculating the difference between the out-of-bounds characterization coefficient YJ and the out-of-bounds characterization coefficient threshold BY based on the temperature influence signal, which can illustrate the influence of temperature factors on the output flow rate of the liquid water treatment agent; in actual application, the out-of-bounds characterization coefficient difference can be divided into several node values, and each two adjacent node values ​​correspond to a temperature control level. Depending on which two node values ​​the actual out-of-bounds characterization coefficient difference YC belongs to, it will correspond to a temperature control level. When an abnormality occurs in the reaction process of the liquid water treatment agent, the temperature can be adjusted intelligently to restore the liquid water treatment agent reaction to a normal state, thereby avoiding waste of raw materials.

[0090] In some embodiments, after obtaining the temperature influence signal, the out-of-bounds characterization coefficient difference is obtained, and the out-of-bounds characterization coefficient difference is obtained by calculating the difference between the out-of-bounds characterization coefficient YJ and the out-of-bounds characterization coefficient threshold BY. By adjusting the temperature adjustment level corresponding to the out-of-bounds characterization coefficient difference, the temperature of the reactor is adjusted to the corresponding temperature level. After obtaining the temperature influence signal, it means that the data anomaly occurring during the reaction process of the liquid water treatment agent can be affected by the temperature value. The liquid water treatment agent output flow data can be adjusted to the normal range through temperature adjustment. There is no need to perform other adjustments. The temperature can be adjusted by intelligent judgment to improve the reaction efficiency.

[0091] Embodiment 3

[0092] like Figure 2 As shown, the water treatment agent processing temperature control system based on real-time data includes:

[0093] The data acquisition module is used to monitor the output flow data of the liquid water treatment agent per unit time through a flow sensor, and to monitor the temperature data in the reactor in real time through a temperature sensor;

[0094] The data processing and analysis module obtains the preset output flow of the liquid water treatment agent at the corresponding real-time temperature from the database, obtains the absolute value of the difference between the real-time output flow and the preset output flow, obtains the flow difference LC, and compares the flow difference LC with the flow difference threshold; generates a normal reaction signal, a signal to be adjusted, and an equipment failure signal; based on the signal to be adjusted, sets the acquisition cycle, establishes a temperature value variation over time model and a flow value variation over time model; takes the reaction time of the reactor as the analysis object, analyzes the influence relationship between the output flow of the liquid water treatment agent and the reaction temperature during the reaction process, and obtains a temperature influence signal or a temperature no influence signal;

[0095] The control module calculates the difference between the out-of-bounds characterization coefficient YJ and the out-of-bounds characterization coefficient threshold BY based on the temperature influence signal to obtain the out-of-bounds characterization coefficient difference YC, and adjusts the temperature of the reactor according to the temperature adjustment level corresponding to the out-of-bounds characterization coefficient difference.

[0096] The above shows and describes the basic principles, main features and advantages of the present invention. It should be understood by those skilled in the art that the present invention is not limited to the above embodiments. The above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. A method for controlling the processing temperature of a water treatment agent based on real-time data, characterized in that: including S1: Monitor the output flow data of the liquid water treatment agent per unit time through a flow sensor, and simultaneously monitor the temperature data inside the reaction kettle in real time through a temperature sensor; S2: Transmit the monitored flow data and temperature data to the data processing module; The data processing module obtains the preset output flow of the liquid water treatment agent at the corresponding real-time temperature from the database, obtains the absolute value of the difference between the real-time output flow and the preset output flow to get the flow difference LC, and compares the flow difference LC with the flow difference threshold; Generate a normal reaction signal, an adjustment-needed signal, and a device failure signal; S3: Based on the adjustment-needed signal, set the acquisition period, and establish a model of the temperature value changing with time and a model of the flow value changing with time; S4: Take the reaction time of the reaction kettle as the analysis object, analyze the influence relationship between the output flow of the liquid water treatment agent and the reaction temperature during the reaction process to obtain a temperature influence signal or a temperature non-influence signal; S5: Based on the temperature influence signal, calculate the difference between the out-of-bounds characterization coefficient YJ and the out-of-bounds characterization coefficient threshold BY to get the out-of-bounds characterization coefficient difference YC, and adjust the temperature of the reaction kettle according to the temperature adjustment level corresponding to the out-of-bounds characterization coefficient difference.

2. The method for controlling the processing temperature of water treatment agents based on real-time data according to claim 1, characterized in that: The database stores a comparison table of temperature and the output flow of the liquid water treatment agent.

3. The method for controlling the processing temperature of a water treatment agent based on real-time data according to claim 1, characterized in that: The flow difference threshold includes a first flow difference threshold LLD1 and a second flow difference threshold LLD2; among them, LLD1 < LLD2; If the flow difference LC is less than or equal to the first flow difference threshold LLD1, it indicates that the data is normal and a normal reaction signal is generated; If LLD1 < flow difference LC < LLD2, it indicates that the data is abnormal and an adjustment-needed signal is generated; If LLD2 ≤ flow difference LC, it indicates that the reaction kettle is faulty, a device failure signal is generated, and shutdown for maintenance is required.

4. The method for controlling the processing temperature of a water treatment agent based on real-time data according to claim 3 is characterized in that: Establish a model of the temperature value changing with time, specifically: Set the acquisition period, take time as the X-axis and the temperature value as the Y-axis, establish a model of the temperature value changing with time, substitute the real-time temperature value into the model of the temperature value changing with time, and draw a temperature value curve; Set a first temperature threshold and a second temperature threshold, where the first temperature threshold is less than the second temperature threshold, and draw the first temperature threshold and the second temperature threshold in the model of the temperature value changing with time.

5. The method for controlling the processing temperature of water treatment agents based on real-time data according to claim 4 is characterized in that: Establish a model of the temperature value changing with time, specifically: Set the acquisition period, take time as the X-axis and the output flow data of the liquid water treatment agent as the Y-axis, establish a model of the flow value changing with time, substitute the real-time flow value into the model of the flow value changing with time, and draw a flow value curve; draw a first flow threshold line and a second flow threshold line in the model of the flow value changing with time; among them, the first flow threshold line is below the second flow threshold line.

6. The method for controlling the processing temperature of a water treatment agent based on real-time data according to claim 5, characterized in that: Take the reaction time of the reaction kettle as the analysis object, analyze the influence relationship between the output flow of the liquid water treatment agent and the reaction temperature during the reaction process, specifically: In the model of the temperature value changing with time, mark the area where the temperature value is above the second temperature threshold within the acquisition period as the over-temperature area, and mark the area where the temperature value is below the first temperature threshold within the acquisition period as the under-temperature area; Get the total time CWT corresponding to the over-temperature area and the total time XWT corresponding to the under-temperature area; In the flow value variation over time model, the area where the flow value in the acquisition period is above the second flow threshold straight line is recorded as the super flow area, and the total time CLT of the super flow area is obtained; and the area where the flow value in the acquisition period is below the first flow threshold is recorded as the low flow area, and the total time XLT of the low flow area is obtained; Compare the time period corresponding to the over-temperature area with the time period corresponding to the over-temperature area: Obtain the overlap period of the period corresponding to the over-temperature area and the period corresponding to the over-temperature area, recorded as the over-temperature flow overlap period CWLT; The total time of the superflow region CLT is summed with the total time of the overtemperature region CWT to obtain the total time of the supertemperature flow. The ratio of the supertemperature flow overlap period CWLT to the total time of the supertemperature flow is calculated to obtain the supertemperature flow overlap characterization value CBZ. Compare the time period corresponding to the low flow area with the time period corresponding to the lower temperature area: Obtain the overlapping period between the period corresponding to the low flow area and the period corresponding to the lower temperature area, recorded as the low temperature flow overlapping period DWLT; Sum the total time XLT of the low flow area and the total time XWT corresponding to the lower temperature area to obtain the total time of low temperature flow, obtain the ratio of the low temperature flow overlap period DWLT to the total time of low temperature flow, and obtain the low temperature flow overlap characterization value DBZ; The over-temperature flow coincidence characterization value CBZ and the low-temperature flow coincidence characterization value DBZ are used to obtain the cross-boundary characterization coefficient YJ through the formula YJ=a1×CBZ+a2×DBZ, where a1 and a2 are preset proportional coefficients, and a1+a2=1, a1 is 0.56, and a2 is 0.44; The out-of-bounds characterization coefficient YJ is compared with the out-of-bounds characterization coefficient threshold BY to obtain a temperature impact signal or a temperature no-impact signal.

7. The method for controlling the processing temperature of a water treatment agent based on real-time data according to claim 6, characterized in that: The out-of-bounds characterization coefficient YJ is compared with the out-of-bounds characterization coefficient threshold BY, specifically: If the out-of-bounds characterization coefficient YJ is greater than or equal to the out-of-bounds characterization coefficient threshold BY, it indicates that the output flow rate of the liquid water treatment agent in the reactor is related to the reaction temperature, and a temperature influence signal is generated; If the out-of-bounds characterization coefficient YJ is less than the out-of-bounds characterization coefficient threshold BY, it indicates that the output flow rate of the liquid water treatment agent in the reactor is not related to the reaction temperature, and the generated temperature has no influence signal.

8. The method for controlling the processing temperature of water treatment agents based on real-time data according to claim 5, characterized in that: According to the temperature adjustment level corresponding to the cross-boundary characterization coefficient difference YC, the temperature of the reactor is adjusted, specifically: Set several temperature adjustment levels, marked as WDT i , i=1, 2, ..., 6; and WDT1<WDT2< ...<WDT6; wherein different temperature adjustment levels correspond to different electrical energy output powers to adjust the level of heat generation; Set each temperature regulation level WDT i Each corresponds to an out-of-bounds representation coefficient difference range; specifically: The cross-border characterization coefficient difference range corresponding to WDT1 is (0, Y1], the cross-border characterization coefficient difference range corresponding to WDT2 is (Y1, Y2], ..., the cross-border characterization coefficient difference range corresponding to WDT6 is (Y5, Y6]; where 0<Y1<Y2<…<Y6; When YC∈(Y i-1 , Y i ], the flow threshold corresponding to the cross-border coefficient difference range is WDT i .

9. A water treatment agent processing temperature control system based on real-time data, using the processing temperature control method of claim 1, characterized in that: include: The data acquisition module is used to monitor the output flow data of the liquid water treatment agent per unit time through a flow sensor, and to monitor the temperature data in the reactor in real time through a temperature sensor; The data processing and analysis module obtains the preset output flow rate of the liquid water treatment agent at the corresponding real-time temperature from the database, obtains the absolute value of the difference between the real-time output flow rate and the preset output flow rate, obtains the flow difference value LC, and compares the flow difference value LC with the flow difference threshold value; Generate normal response signals, signals to be adjusted, and equipment failure signals; Based on the signal to be adjusted, the acquisition cycle is set, and the temperature value change over time model and the flow value change over time model are established; the reaction time of the reactor is taken as the analysis object, and the influence relationship between the output flow rate of the liquid water treatment agent and the reaction temperature in the reaction process is analyzed to obtain a temperature influence signal or a temperature no influence signal; The control module calculates the difference between the out-of-bounds characterization coefficient YJ and the out-of-bounds characterization coefficient threshold BY based on the temperature influence signal to obtain the out-of-bounds characterization coefficient difference YC, and adjusts the temperature of the reactor according to the temperature adjustment level corresponding to the out-of-bounds characterization coefficient difference.

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