Aop water treatment disinfection dynamic optimization control system and method

Abstract

The application relates to an AOP water treatment disinfection dynamic optimization control system and method, belonging to the technical field of water treatment, which comprises a control module and a detection module which are electrically connected to each other, wherein the detection module comprises a redox potential sensor, an online total organic carbon analyzer and an ultraviolet intensity sensor which are electrically connected to the control module respectively; the redox potential sensor is used for detecting the number of oxidants and uploading the number to the control module; the online total organic carbon analyzer is used for detecting the density of organic matters and uploading the density to the control module; the ultraviolet intensity sensor is used for detecting the ultraviolet light intensity and uploading the intensity to the control module; after receiving the data of the number of oxidants, the density of organic matters and the ultraviolet light intensity, the control module performs weighted average calculation to obtain a DEI value, and judges whether the DEI value exceeds a threshold DEI0; when the judgment result is yes, the control module instructs a disinfection module to increase disinfection power.

Description

Technical Field

[0001] This invention belongs to the field of water treatment technology, specifically relating to an AOP water treatment disinfection dynamic optimization control system and method. Background Technology

[0002] AOP water treatment is a water treatment process based on advanced oxidation process (AOP) technology. It is mainly used to remove pollutants from water. Compared with conventional chlorination treatment processes, it has less secondary pollution and higher cleaning efficiency.

[0003] Conventional water treatment systems only include simple ozone generation functions and cannot generate real-time operating parameter adjustment strategies based on collected data, resulting in low ozone generation efficiency. To address this, Chinese patent CN118878057A discloses an AOP water treatment disinfection system. This system generates ozone to disinfect the treated water by sequentially installing an air compressor, finned condenser, drying device, oxygen generator, flow meter, ozone generator, jet injector, ozone reaction chamber, and ultraviolet reaction chamber within a cabinet. A data acquisition unit monitors gas temperature, humidity, flow rate, gas source pressure, and ozone concentration in real time. A reinforcement learning model analyzes the data to generate real-time operating parameter adjustment strategies. These strategies are then used to adjust the operating parameters of each component in real time, ensuring the ozone concentration remains within a preset range and improving disinfection effectiveness. Furthermore, a cooling fan is installed at the top of the system cabinet, and vents are designed at the bottom. Air is drawn in through these vents, creating an upward airflow that ensures effective air circulation within the cabinet, preventing high-temperature accumulation and dead zones, further improving the system's heat dissipation efficiency and stability.

[0004] However, in the above scheme, the environmental data is collected but not preprocessed. The adjustment strategy is generated directly from the collected data, which cannot eliminate the influence of errors in the data collection process itself. This leads to a deviation between the adjustment strategy and the actual needs. Therefore, there is a need for an AOP water treatment disinfection dynamic optimization control system and method that preprocesses the acquired data and obtains accurate data. Summary of the Invention

[0005] To address the aforementioned problems in the existing technology, this invention provides an AOP water treatment disinfection dynamic optimization control system and method, which features preprocessing of acquired data and accurate data acquisition.

[0006] The objective of this invention can be achieved through the following technical solutions:

[0007] The application discloses an AOP water treatment disinfection dynamic optimization control system and method.

[0008] The control module performs weighted average calculation after receiving the oxidant quantity, the organic matter density and the ultraviolet light intensity data, obtains a DEI value, and judges whether the DEI value exceeds a threshold DEI0; when the judgment result is yes, the control module instructs the disinfection module to increase disinfection power.

[0009] As a preferred technical scheme of the application, the control module receives the oxidant quantity O, the organic matter density T and the ultraviolet light intensity data U, and calculates DEI, wherein DEI = alpha * U0 / U + beta * O0 / O + gamma * T / T0, alpha, beta and gamma are weight numbers, U0 is a pre-input reference light intensity, O0 is a pre-input oxidant quantity reference value, and T0 is a pre-input organic matter density reference value.

[0010] As a preferred technical scheme of the application, the detection module is used for counting ultraviolet penetration c and water temperature w, and alpha = c0 / c, beta = d0 / (dO / dt) and gamma = w0 / w, wherein c0 is a pre-input penetration reference value, d0 is a pre-input change rate reference value, and w0 is a pre-input temperature reference value.

[0011] As a preferred technical scheme of the application, the application further comprises a sensor cleaning module electrically connected with the control module, and the sensor cleaning module is used for cleaning the ultraviolet intensity sensor under the instruction of the control module.

[0012] As a preferred technical scheme of the application, the detection module is electrically connected with a flow sensor, the flow sensor is used for judging whether instantaneous flow exceeds a threshold, and sends a cleaning instruction to the control module when the judgment result is yes; and the control module instructs the sensor cleaning module to clean the ultraviolet intensity sensor after receiving the cleaning instruction.

[0013] As a preferred technical scheme of the application, the detection module further comprises an ozone concentration sensor, the ozone concentration sensor is used for detecting ozone concentration in water and uploading to the control module, and the control module increases the DEI threshold when the ozone concentration exceeds a threshold.

[0014] As a preferred technical scheme of the present application, the ozone concentration sensor is used to detect the ozone concentration C in water and upload to the control module, and the control module adjusts DEI0 to be the original C1 times, wherein C1=C / C0×e, C0 is a constant input in advance, and e is a correction coefficient input in advance.

[0015] As a preferred technical scheme of the present application, the input panel is further included for inputting the values of C0 and e.

[0016] The present application has the following beneficial effects:

[0017] (1) The control module receives the data of the number of oxidants, the density of organic matter and the intensity of ultraviolet light, and then performs weighted average calculation to complete the preprocessing of the data, and according to the data, it is first comprehensively judged whether the environmental data needs to adjust the disinfection scheme or disinfection power, thereby improving the accuracy of environmental data acquisition;

[0018] (2) The detection module is used to count the ultraviolet penetration c and water temperature w, and then the control module calculates DEI, wherein DEI=α×U0 / U+β×O0 / O+γ×T / T0, α=c0 / c, β=d0 / (dO / dt), and γ=w0 / w, so that when the ultraviolet lamp is seriously aged, the weight of the ultraviolet intensity is increased, when the ultraviolet lamp is aged and the penetration is decreased, compensation is made, when the instantaneous organic matter change rate exceeds the threshold value, the weight is reduced to avoid transient interference, when the water temperature is high and the reaction rate is fast, the residual organic matter weight is reduced without too high disinfection power;

[0019] (3) The sensor cleaning module is set to clean the ultraviolet intensity sensor which is easily polluted by scale;

[0020] (4) The control module instructs the sensor cleaning module to start when the instantaneous flow exceeds the threshold value, so that when the instantaneous flow is large and the pollution probability of scale is large, the sensor cleaning module is started, so that the starting cleaning time of the cleaner is more in line with the actual demand;

[0021] (5) The control module increases the DEI threshold value when the ozone concentration exceeds the threshold value, so that when there is too much residual ozone, the threshold DEI0 is increased without too much ozone. BRIEF DESCRIPTION OF DRAWINGS

[0022] In order to facilitate the understanding of those skilled in the art, the present application will be further described below with reference to the accompanying drawings.

[0023] Figure 1 The control circuit block diagram of the present application. DETAILED DESCRIPTION

[0024] In order to further illustrate the technical means and effects adopted by the present application to achieve the predetermined object of the present application, the specific embodiments, structures, features and effects thereof according to the present application are described in detail below in combination with the drawings and preferred embodiments.

[0025] Referring to Figure 1 The AOP water treatment and disinfection dynamic optimization control system comprises a control module and a detection module which are electrically connected to each other, the detection module comprises a redox potential sensor, an online total organic carbon analyzer and an ultraviolet intensity sensor which are electrically connected to the control module respectively, the redox potential sensor is used for detecting the amount of oxidants and uploading to the control module, the online total organic carbon analyzer is used for detecting the density of organic matter and uploading to the control module, and the ultraviolet intensity sensor is used for detecting the intensity of ultraviolet light and uploading to the control module.

[0026] After the control module receives the data of the amount of oxidants, the density of organic matter and the intensity of ultraviolet light, weighted average calculation is performed to obtain the value of the disinfection efficiency index, which is denoted as DEI, and it is judged whether the value of DEI exceeds a threshold value DEI0, when the result of the judgment is yes, the control module instructs the disinfection module to increase the disinfection power.

[0027] In this embodiment, the disinfection module disinfects by putting oxidants into the pool, and the higher the power of the disinfection module is, the more oxidants are put into the pool per unit time.

[0028] When the error in the data collection process itself affects the precision of the control process, the data itself needs to be preprocessed, and if the adjustment strategy is directly generated by the collected data, the influence of the error in the data collection process itself cannot be excluded, and thus the adjustment strategy deviates from the actual requirement.

[0029] For example, when one of the collected data, for example, the amount of oxidants, is instantaneously increased to three times of the actual value due to the completion of the feeding of oxidants into the water by the disinfection feeding module, if the data is not preprocessed and the adjustment strategy is directly generated by the collected data, the generated adjustment strategy is formulated according to the collected data of the amount of oxidants which is three times of the actual value, and thus the adjustment strategy deviates from the actual requirement.

[0030] In the scheme, after collecting data, all data are first weighted and averaged, and the weight of different collected data is adjusted according to different situations to adjust different data in different situations, so as to complete the preprocessing of the data. For example, when the oxide change rate is large, the weight of the oxide quantity in the weighted average calculation is reduced, the influence of the instantaneous change of the oxide quantity on the adjustment strategy is reduced, and the preprocessing of the data is completed.

[0031] Therefore, by weighting and averaging the data received by the control module, the preprocessing of the data is completed, and whether the environmental data needs to be adjusted or the disinfection power needs to be adjusted is comprehensively judged according to several kinds of data, so as to improve the accuracy of the environmental data acquisition.

[0032] Specifically, in the above weighted average calculation process, the control module receives oxide quantity O, organic matter density T and ultraviolet light intensity data U to calculate DEI, wherein DEI = α × U0 / U + β × O0 / O + γ × T / T0, α, β and γ are weights, α = c0 / c, β = d0 / (dO / dt), γ = w0 / w, U0 is a reference light intensity input in advance, O0 is an oxide quantity reference value input in advance, and T0 is an organic matter density reference value input in advance.

[0033] In the embodiment, for the weight, when the ultraviolet lamp is seriously aged, the ultraviolet penetration ability decreases, so when the ultraviolet intensity decreases, it will cause a greater decrease in disinfection effect, and the detection sensitivity of the ultraviolet intensity needs to be improved, that is, the weight of the ultraviolet intensity needs to be increased to compensate for the decrease in penetration when the ultraviolet lamp is aged and the penetration decreases; similarly, when the instantaneous organic matter change rate exceeds the threshold value, there is a high probability of transient interference, and the weight of the organic matter needs to be reduced to avoid transient interference; when the water temperature is high and the reaction rate is fast, the disinfection power does not need to be too high, and the weight of the residual organic matter needs to be reduced.

[0034] Therefore, the detection module is used to count the ultraviolet penetration c and the water temperature w, α = c0 / c, β = d0 / (dO / dt), and γ = w0 / w, wherein c0 is a penetration reference value input in advance, d0 is a change rate reference value input in advance, and w0 is a temperature reference value input in advance.

[0035] When the penetration c is small, the value of α increases to increase the weight of the ultraviolet, when the organic matter change rate dO / dt is large, the value of β is small to reduce the weight of the organic matter, and when the temperature w is large, the value of γ is low to reduce the weight of the residual organic matter.

[0036] When the oxide change rate is large, it represents that the instantaneous organic matter change rate exceeds the threshold value, and there is a large probability of transient interference, and the organic matter weight needs to be reduced to avoid transient interference, at this time the value of dO / dt is large, the value of β=d0 / (dO / dt) is small, and the reduction of the weight corresponding to the oxide when the oxide change rate is large is completed.

[0037] After the control module receives the oxide quantity each time, the oxide quantity data is stored in the data storage, and the oxide quantity is arranged in time reverse order, and the control module calculates the oxide quantity change rate dO / dt according to the oxide quantity arranged in time reverse order;

[0038] The value range of α, β and γ is 0.2-0.8, and when the value of one of the weights is less than 0.2 or greater than 0.8, the control module takes the weight equal to 0.2 or 0.8;

[0039] By using the detection module to count the ultraviolet penetration c and water temperature w, and then calculating DEI through the control module, DEI=α×U0 / U+β×O0 / O+γ×T / T0, α=c0 / c, β=d0 / (dO / dt), γ=w0 / w, so that the weight of ultraviolet intensity is increased when the ultraviolet lamp is seriously aged in the DEI calculation, compensation is made when the ultraviolet lamp is aged and the penetration is decreased, the weight is reduced when the instantaneous organic matter change rate exceeds the threshold value to avoid transient interference, and the residual organic matter weight is reduced when the water temperature is high and the reaction rate is fast, and the disinfection power is not too high.

[0040] Under long-term use, various dirt and scale detected by the sensor have a probability of affecting the sensor itself, for example, when the water flow carries the scale and dirt through the sensor, part of the dirt and scale adheres to the sensor, isolating the sensor probe from the water, resulting in reduced data acquisition accuracy;

[0041] Therefore, a sensor cleaning module electrically connected with the control module is further included, and the sensor cleaning module is used to clean the ultraviolet intensity sensor under the instruction of the control module; in the embodiment, the cleaning module is an ultrasonic cleaning module arranged around the sensor; when the ultrasonic cleaning module is started, the ultrasonic wave breaks the scale accumulated on the surface of the sensor, completing the cleaning;

[0042] By setting the sensor cleaning module, the ultraviolet intensity sensor which is more easily polluted by scale is cleaned.

[0043] The timing of starting the sensor cleaning module needs to be accurate. If the starting needs to be manually operated by the operator, it cannot be ensured that the sensor cleaning module is started in time. If automatic starting is used, if only a conventional fixed interval periodic starting is used, it cannot cover the actual needs: for example, when the instantaneous flow is large, the ultraviolet intensity sensor is more likely to be contaminated by scale, and the cleaning module needs to be instructed to start. If the interval of periodic starting is too long, the cleaning cannot be completed in a short time, and the detection accuracy of the ultraviolet intensity sensor is affected by the attached scale until the cleaning is completed. If the interval of periodic starting is too short, the cleaning is started frequently without the need for cleaning, affecting the service life and consuming additional electric energy.

[0044] Therefore, the detection module is electrically connected with a flow sensor. The flow sensor is used to determine whether the instantaneous flow exceeds a threshold value, and sends a cleaning instruction to the control module when the determination result is yes. The control module instructs the sensor cleaning module to clean the ultraviolet intensity sensor after receiving the cleaning instruction.

[0045] For the instantaneous flow, the control module pre-sets a unit time, and counts the maximum value in a plurality of flow values in each unit time.

[0046] When one of the flow values collected in a certain unit time exceeds the threshold value, the determination that the instantaneous flow exceeds the threshold value is triggered. At this time, the control module instructs the sensor cleaning module to start.

[0047] By making the control module instruct the sensor cleaning module to start when the instantaneous flow exceeds the threshold value, the sensor cleaning module is started when the instantaneous flow is large and the probability of being contaminated by scale is large, so that the starting cleaning timing of the cleaner is more in line with the actual needs.

[0048] The rate of consumption of the cleaning agent is different under different conditions, and the amount of cleaning agent needs to be different. For example, when there is more residual oxide cleaning agent, it is not necessary to invest too much cleaning agent. The control of the amount of cleaning agent can be achieved by adjusting the threshold value in the DEI value calculation. At this time, a plurality of adjustments can be achieved by a calculation program. When the threshold DEI0 is increased, the DEI is less likely to trigger the threshold value under the same conditions, and the disinfection module power is less likely to be triggered, thereby reducing the amount of oxide investment.

[0049] Therefore, when there is more residual oxide, the threshold value needs to be increased to avoid frequent triggering of the action of investing oxide cleaning agent. For this purpose, the detection module further comprises an ozone concentration sensor. The ozone concentration sensor is used to detect the ozone concentration in the water and upload it to the control module. The control module increases the DEI threshold value when the ozone concentration exceeds the threshold value.

[0050] Specifically, the ozone concentration sensor is used to detect the ozone concentration C in the water and upload to the control module, the control module adjusts DEI0 to the original C1 times, wherein C1=C / C0×e, C0 is a constant input in advance, e is a correction factor input in advance, C1≥1, when the calculation result shows C1<1, the control module takes C1=1;

[0051] When the ozone concentration C is high, exceeds C0, the value of C1=C / C0×e is large, at this time, if DEI0 is adjusted to the original C1 times, the threshold of DEI0 is correspondingly increased;

[0052] By making the control module increase the DEI threshold when the ozone concentration exceeds the threshold, the threshold DEI0 is increased when there is more residual ozone and less ozone is needed.

[0053] In order to facilitate the input of C0 and e values, an input panel is also included, which is used to input the values of C0 and e. In this embodiment, the input panel is also used to display the DEI value and the running power of the disinfection module.

[0054] The above is only a preferred embodiment of the present application, and does not limit the present application in any form. Although the present application has been disclosed as above, it is not intended to limit the present application. Any person skilled in the art can make some changes or modifications to the above disclosed technical content without departing from the scope of the present application, and any equivalent embodiments with equivalent changes are equivalent to the above. Any modification, change, equivalent change and modification of the above embodiments according to the technical essence of the present application are still within the scope of the present application.

Claims

1. An AOP (Active Operating Program) water treatment disinfection dynamic optimization control system, characterized in that: The device includes a control module and a detection module that are electrically connected to each other. The detection module includes a redox potential sensor, an online total organic carbon analyzer, and an ultraviolet intensity sensor, which are electrically connected to the control module respectively. The redox potential sensor is used to detect the number of oxides and upload the data to the control module. The online total organic carbon analyzer is used to detect the density of organic matter and upload the data to the control module. The ultraviolet intensity sensor is used to detect the intensity of ultraviolet light and upload the data to the control module. After receiving data on the number of oxides, the density of organic matter, and the intensity of ultraviolet light, the control module performs a weighted average calculation to obtain the DEI value and determines whether the DEI value exceeds the threshold DEI0. If the determination result is yes, the control module instructs the disinfection module to increase the disinfection power. After receiving the oxide quantity O, organic matter density T, and ultraviolet light intensity data U, the control module calculates DEI, where DEI = α × U0 / U + β × O0 / O + γ × T / T0, α, β, and γ are weights, U0 is the pre-input reference light intensity, O0 is the pre-input reference value for the oxide quantity, and T0 is the pre-input reference value for the organic matter density. The detection module is also used to calculate the ultraviolet penetration c and the water temperature w, where α=c0 / c, β=d0 / (dO / dt), and γ=w0 / w, where c0 is a pre-inputted penetration reference value, d0 is a pre-inputted rate of change reference value, and w0 is a pre-inputted temperature reference value. The values ​​of α, β and γ are all in the range of 0.2 to 0.

8. When the value of one of the weights is less than 0.2 or greater than 0.8, the control module sets the weight to 0.2 or 0.

8.

2. The AOP water treatment disinfection dynamic optimization control system according to claim 1, characterized in that: It also includes a sensor cleaning module electrically connected to the control module, which is used to clean the ultraviolet intensity sensor under the command of the control module.

3. The AOP water treatment disinfection dynamic optimization control system according to claim 2, characterized in that: The detection module is electrically connected to a flow sensor, which is used to determine whether the instantaneous flow exceeds a threshold. When the determination result is yes, the flow sensor sends a cleaning command to the control module. After receiving the cleaning command, the control module instructs the sensor cleaning module to clean the ultraviolet intensity sensor.

4. The AOP water treatment disinfection dynamic optimization control system according to claim 1, characterized in that: The detection module also includes an ozone concentration sensor, which is used to detect the ozone concentration in the water and upload it to the control module. The control module raises the threshold DEI0 when the ozone concentration exceeds the threshold.

5. The AOP water treatment disinfection dynamic optimization control system according to claim 4, characterized in that: The ozone concentration sensor is used to detect the ozone concentration C in the water and upload it to the control module. The control module adjusts DEI0 to C1 times the original value, where C1 = C / C0 × e, C0 is a pre-input constant, and e is a pre-input correction coefficient.

6. The AOP water treatment disinfection dynamic optimization control system according to claim 5, characterized in that: It also includes an input panel for inputting the values ​​of C0 and e.

7. A control method for an AOP water treatment disinfection dynamic optimization control system, characterized in that, The AOP water treatment disinfection dynamic optimization control system described in any one of claims 1 to 6 above is applicable.

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