A chemical park wastewater treatment control system based on wireless networking

Abstract

The present invention discloses a chemical park wastewater treatment control system based on wireless networking, which relates to the field of wastewater treatment technology and solves the technical problem of lack of data linkage and intelligent collaboration between various treatment units. The present invention forms quantifiable indicators and operating logic for each link of the system from parameter monitoring, feature confirmation, process verification to ratio optimization, such as purification index JH, feature variance, optimal time feature, etc., so that the entire treatment process has traceability; this not only makes it convenient for operators to grasp the system status in real time, but also provides a reliable basis for subsequent process improvement and data mining, helping chemical park wastewater treatment to upgrade to refined and digital management.

Description

Technical Field

[0001] The present invention relates to the technical field of wastewater treatment, in particular to a chemical park wastewater treatment control system based on wireless networking. Background Art

[0002] The application with announcement number CN119087948B discloses a chemical park wastewater treatment control method and system based on the Internet of Things, which relates to the field of sewage treatment technology, including: estimating the total amount of wastewater in the chemical park on the day; obtaining the content of at least one pollutant; establishing a model of the pollutant treatment rate with respect to the reaction conditions; calculating the wastewater outlet rate; calculating the residence time of the wastewater in the reaction tank; adding a sufficient amount of target reactant corresponding to the pollutant content into the reaction tank; calculating the thorough reaction conditions of the wastewater; adjusting the reaction conditions of the wastewater based on the real-time reaction conditions; conducting water quality testing on the wastewater after the reaction, and when the pollutant content in the wastewater is higher than the preset concentration, the wastewater is refluxed; by setting a pollutant detection module, a model building module, a data calculation module and a reaction condition calculation module, the comprehensive influence of multiple factors on the wastewater treatment rate is determined, thereby ensuring that the wastewater treatment is sufficiently thorough.

[0003] Wastewater from chemical industrial parks has complex and variable composition, often containing a variety of pollutants such as heavy metals, toxic organic matter, and high salt content. Treatment is challenging and requires extremely high process stability. Traditional wastewater treatment and control methods often rely on manual inspections or automated control of fixed parameters, which have the following limitations:

[0004] The control logic is lagging and limited. Treatment parameters (such as the dosage and ratio of flocculants, reducing agents, and oxidants) are mostly based on experience and cannot be adjusted in real time according to dynamic changes in water quality. If the reagent ratio is unbalanced, problems such as over-reduction, incomplete oxidation, or reagent waste are likely to occur, which not only reduces purification efficiency but may also cause secondary pollution. At the same time, the existing system lacks a closed-loop verification mechanism for the entire treatment process, making it difficult to cope with emergencies such as pipeline transmission delays and local blockages, resulting in deviations between actual treatment results and expectations.

[0005] In addition, there is a lack of data linkage and intelligent collaboration between various treatment units (such as monitoring, dosing, and purification), and it is impossible to optimize the treatment strategy through correlation analysis of water quality parameters, making it difficult to meet the high-precision and high-stability requirements of chemical park wastewater treatment. Therefore, there is an urgent need to build an integrated system based on real-time monitoring, dynamic analysis, intelligent verification and precise control to improve the efficiency and reliability of chemical park wastewater treatment. Summary of the Invention

[0006] In response to the shortcomings of the existing technology, the present invention provides a chemical park wastewater treatment and control system based on wireless networking, which solves the problems of lack of data linkage and intelligent collaboration between various treatment units, inability to optimize treatment strategies through water quality parameter correlation analysis, and difficulty in meeting the high-precision and high-stability requirements of chemical park wastewater treatment.

[0007] To achieve the above objectives, the present invention is implemented through the following technical solutions: a chemical park wastewater treatment control system based on wireless networking, comprising: a monitoring center, which monitors different parameter indicators of chemical wastewater, is set at a designated monitoring node, and generates a parameter change curve associated with the corresponding parameter indicator based on the different parameter indicators monitored at different time nodes, and transmits the parameter change curve generated in real time to the associated parameter confirmation center; the associated parameter confirmation center performs feature confirmation on the parameter change curve associated with different chemical wastewaters, confirms the treatment parameters associated with the corresponding water purification area, and purifies the chemical wastewater in the water purification area based on the confirmed treatment parameters, and its specific purification treatment method is: according to the parameter change curve associated with the corresponding chemical wastewater, confirm the parameter indicator associated with the corresponding parameter change curve, and confirm the pipeline length of the corresponding parameter indicator monitoring node from the water purification area based on the pipeline networking, and confirm the transmission time based on the confirmed pipeline length and the preset water flow rate, wherein the transmission time = pipeline length ÷ water flow rate, and the water flow rate is a preset value; confirm the parameter indicator Z associated with the corresponding time node t from the parameter change curve i , where i represents different time nodes, and the current time node t is taken as the center point. A set of time search ranges (t±Y1) is determined, where Y1 is a preset value. The curve segments associated with the time search range are recorded as pending segments, and several sets of parameter indicators Z associated with the pending segments are recorded as i Perform mean processing to confirm the characteristic indicators associated with the current time node t; then confirm the concentration ratio associated with the characteristic indicators from the preset purification comparison table, and record the confirmed concentration ratio as the treatment parameter associated with the corresponding water treatment area at the corresponding moment (t+transmission time), and execute it when the time arrives. The purification comparison table is the preset table.

[0008] The process verification processing center monitors the parameter indicators of the water purification area after the water purification treatment is completed, and generates a water purification curve associated with the corresponding parameter indicators. It compares and verifies the water purification curve with the parameter change curve to confirm the purification characteristics, and executes the time correction process to lock the optimal time characteristics and execute it;

[0009] The specific method for confirming the purification feature is as follows: a group of monitoring cycles is limited, wherein the monitoring cycle is a preset cycle, and the water purification curve and the parameter change curve associated with the monitoring cycle are processed: the parameter index ZB1 associated with the time node t is confirmed from the parameter change curve, and then the parameter index ZB2 associated with (t+transmission time+purification time) is confirmed in the water purification curve, wherein the purification time is the preset time, and the following formula is adopted: (ZB1-ZB2)=JH to obtain the purification index JH; and variance processing is performed on several groups of purification indexes JH confirmed in the corresponding monitoring cycle to confirm the feature variance, and the confirmed feature variance is used as the purification feature to identify whether the purification feature satisfies: purification feature ≤ Y2. If so, there is no need to execute the time correction process. If not, the time correction process is executed, and Y2 is the preset value. The specific method for executing the time correction process and locking the optimal time feature is as follows: executing several monitoring cycles, and limiting the search range (t±Y1) according to the confirmed time node t, so that the value Y1 increases from 5 to 100%. It increases step by step and stops when it increases to 10, and confirms several different search ranges; and synchronously corrects the time node t, assigns t an offset feature, and its offset feature takes a value of ±2; in each monitoring period, when t is assigned an offset feature and the search range is changed, the selection time associated with the pending segment in each monitoring time is different, and the purification feature associated with each different monitoring period is confirmed, and from the confirmed purification features, the purification feature that satisfies the purification feature ≤ Y2 is selected and used as the selected feature; if the selected feature does not exist, an error signal is directly generated; if there is only one set of selected features, the time feature associated with the corresponding selected feature is confirmed, and its time feature includes the offset feature associated with the corresponding time node t and the search range, and this time feature is executed in the subsequent selection process of the pending segment; if there are multiple sets of selected features, the minimum value is determined from them, and the selected feature associated with the minimum value is used as the determined feature, and the time feature associated with the determined feature is confirmed, and this time feature is executed in the subsequent selection process of the pending segment.

[0010] The associated ratio adjustment center adjusts the ratio of the treatment parameters associated with the reduction and oxidation stages, executes several adjustment stages, and confirms the purification index associated with each adjustment stage. From the confirmed purification index, the optimal ratio parameter is selected and executed: Based on the reduction treatment parameters and oxidation treatment parameters associated with the corresponding reduction and oxidation stages, the reduction treatment parameter associated at the corresponding moment is recorded as H k , the oxidation treatment parameter is recorded as L k , where k represents different moments; using: H k ±(H k ×0.1) and L k ±(0.1×L k) confirmation method, adjust and change the reduction treatment parameters and oxidation treatment parameters associated with different subsequent moments, and the adjustment ratios associated with different subsequent moments are all different; after the adjustment and change processing, confirm the purification indicators associated with the water purification curve and the parameter change curve, and confirm the purification indicators associated with different subsequent moments, select the minimum value from the confirmed purification indicators, record the adjustment ratio associated with the minimum value, and use it as the optimal ratio parameter.

[0011] The execution center adjusts the subsequent confirmed reduction treatment parameters and oxidation treatment parameters in proportion based on the confirmed optimal ratio parameters.

[0012] The present invention provides a chemical park wastewater treatment control system based on wireless networking. Compared with the existing technology, the present invention has the following beneficial effects: through comparative analysis of purification curves and original parameter curves, combined with characteristic variance judgment and time correction mechanism, the present invention can dynamically optimize the time search range and offset characteristics, effectively deal with sudden situations such as pipeline transmission delays and minor blockages, and significantly improve the system's anti-interference ability to complex working conditions; even if the water quality fluctuates, it can be quickly adjusted through closed-loop feedback to ensure the stability of the treatment effect; in response to the core needs of the redox link, through multi-stage parameter fine-tuning and purification index evaluation, the optimal reducing agent and oxidizing agent ratio is accurately locked, which not only avoids the cost caused by excessive reagents Waste and by-product generation (such as toxic chlorinated products produced by excessive oxidation) also are prevented, and pollutant residues caused by insufficient dosage are prevented, thus achieving a balance between economic and environmental benefits while improving treatment efficiency. From parameter monitoring, feature confirmation, process verification to ratio optimization, each link of the system has formed quantifiable indicators and operating logic (such as purification index JH, feature variance, optimal time feature, etc.), making the entire treatment process traceable. This not only makes it easier for operators to grasp the system status in real time, but also provides a reliable basis for subsequent process improvements and data mining, helping chemical park wastewater treatment to upgrade to refined and digital management. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] Figure 1 It is a schematic diagram of the principle framework of the present invention. DETAILED DESCRIPTION

[0014] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0015] Example 1: Please refer to Figure 1The present application provides a chemical park wastewater treatment control system based on wireless networking, including a monitoring center, an associated parameter confirmation center, a process verification processing center, an associated ratio adjustment center and an execution center, wherein the monitoring center is electrically connected to the associated parameter confirmation center or the process verification processing center input node, and the associated parameter confirmation center and the process verification processing center are connected on a two-day basis, wherein the process verification processing center, the associated ratio adjustment center and the execution center are electrically connected from the output node to the input node in sequence; wherein the monitoring center monitors different parameter indicators of chemical wastewater, is set at a designated monitoring node, and different monitoring nodes are equipped with different monitoring sensors to perform numerical monitoring of related parameter indicators, and generates parameter change curves associated with corresponding parameter indicators based on different parameter indicators monitored at different time nodes, and transmits the parameter change curves generated in real time to the associated parameter confirmation center, wherein the associated parameter indicators generally include: heavy metals, toxic organic matter, high salt and other related Harmful indicators; Among them, the associated parameter confirmation center conducts characteristic confirmation of the parameter change curves associated with different chemical wastewaters, confirms the treatment parameters associated with the corresponding water purification areas (flocculants are used in the flocculation area, reducing agents are applied to the reduction area, and oxidants are applied to the oxidation area), and purifies the chemical wastewater in the water purification area based on the confirmed treatment parameters. The specific purification treatment method is: according to the parameter change curve associated with the corresponding chemical wastewater, confirm the parameter indicators associated with the corresponding parameter change curve, and confirm the pipeline length of the corresponding parameter indicator monitoring node from the water purification area based on the pipeline network. According to the confirmed pipeline length and the preset water flow rate, confirm the transmission time, the transmission time = pipeline length ÷ water flow rate, the water flow rate is a preset value, which is prepared in advance by the relevant operators; in order to ensure the accuracy of the subsequent associated treatment parameters, it is necessary to identify a change segment from the parameter change curve, rather than confirm it by point, and confirm the parameter indicator Z associated with the corresponding time node t from the parameter change curve. i , where i represents different time nodes. With the current time node t as the center point, a set of time search ranges (t±Y1) is confirmed. Y1 is a preset value. Its specific value is determined by the operator based on experience. It is generally 5-10 seconds. Here, 10 seconds is selected. The curve segment associated with the time search range is recorded as the pending segment, and several groups of parameter indicators Z associated with the pending segment are recorded. iPerform mean processing to confirm the characteristic indicators associated with the current time node t; then confirm the concentration ratio associated with the characteristic indicators from the preset purification comparison table, and record the confirmed concentration ratio as the treatment parameter associated with the corresponding water treatment area at the corresponding moment of (t+transmission time), and execute it when the time arrives. The purification comparison table is a preset table, which stores purification indicators associated with different concentration parameters, all of which are preset values, which is convenient for water purification and can be directly compared and confirmed; specifically, because there is a transmission delay or blockage in the water purification process, the associated treatment parameters will have some deviations. In order to ensure the processing accuracy, the corresponding corresponding curve segment is selected from the corresponding monitoring curve as the reference standard, so as to ensure the specific guarantee of subsequent numerical accuracy and achieve the best numerical processing effect.

[0016] Among them, the process verification processing center monitors the parameter indicators of the water purification area after the water purification treatment is completed, and generates a water purification curve associated with the corresponding parameter indicators, and compares and verifies the water purification curve with the parameter change curve to confirm the purification characteristics, and executes the time correction process, locks the optimal time characteristics and executes it; wherein, the specific method of confirming the purification characteristics is: limit a set of monitoring cycles, and the monitoring cycle is a preset cycle, generally taking a value of 1min, and processes the water purification curve and parameter change curve associated with the monitoring cycle: confirm the parameter indicator ZB1 associated with the time node t from the parameter change curve, and then confirm the parameter indicator ZB2 (belonging to the purification process) associated with (t+transmission time+purification time) in the water purification curve. The specific indicators after processing), the purification time is the preset time, different parameter indicators are associated with different preset times, and the following is adopted: (ZB1-ZB2)=JH to obtain the purification index JH; and the several groups of purification indexes JH confirmed in the corresponding monitoring period are subjected to variance processing (confirming the degree of dispersion between the values. If the confirmed variance is small, it means that the difference is not large, then the selected corresponding curve segment is relatively accurate. If the confirmed variance is large, it means that the difference is large, then the selected corresponding curve is relatively inaccurate and needs to be re-compared and verified to execute the corresponding time correction process), confirm the feature variance, and use the confirmed feature variance as the purification feature to identify whether the purification feature meets the following requirements: purification feature ≤ Y2. If so, no execution is required. The time correction process represents that the selection process of the current curve segment has a higher accuracy. If it is not satisfied, the time correction process is executed, and its Y2 is the preset value. Among them, the specific method of executing the time correction process and locking the optimal time feature is: executing several monitoring cycles, according to the confirmed time node t, limiting the search range (t±Y1), making the value Y1 gradually increase from 5, and stop when it increases to 10, and confirming several different search ranges; and synchronously correcting the time node t, giving t an offset feature, and its offset feature value is ±2; in each monitoring cycle, when t is given an offset feature and the search range is changed, the selection time associated with the undetermined segment in each monitoring time is different, and the purification feature associated with each different monitoring cycle is confirmed, and From the confirmed purification features, a purification feature that satisfies purification feature ≤ Y2 is selected and used as the selected feature; if the selected feature does not exist, an error signal is directly generated, indicating that there are a large number of blockages or abnormalities in the pipeline, and human intervention is required for maintenance; if there is only one set of selected features, the time feature associated with the corresponding selected feature is confirmed, and the time feature includes the offset feature associated with the corresponding time node t and the search range, and this time feature is executed in the subsequent selection process of the pending segment; if there are multiple sets of selected features, the minimum value is determined from them, and the selected feature associated with the minimum value is used as the determined feature, and the time feature associated with the determined feature is confirmed, and this time feature is executed in the subsequent selection process of the pending segment;Specifically, in the parameter change curve, there is a parameter indicator associated with a time node t, and the confirmed search range is 5 seconds. Then the curve segment associated with the time node 5 seconds before and after is used as the pending segment. If there is an offset feature, the offset feature is set to -1, then the curve segment associated with the time node 6 seconds before and 4 seconds after is used as the pending segment. The associated search range can be expressed as (t-1) ± 5. Similarly, different offset features and different search ranges are associated with different timelines. Therefore, to ensure the numerical accuracy of the test process, step-by-step confirmation is carried out and the corresponding monitoring cycle is executed. The purification indicators associated with the corresponding monitoring cycle are also confirmed synchronously to achieve the optimal water purification effect.

[0017] Example 2: In the specific treatment process of this embodiment, it is a specific treatment process to further improve the water purification process. Due to the ratio error problem between the reducing agent and the oxidizing agent, in order to achieve a better ratio treatment effect, the corresponding ratio error is taken into account to further improve the overall ratio treatment effect.

[0018] Among them, the associated ratio adjustment center adjusts the ratio of the treatment parameters associated with the reduction and oxidation stages, executes several adjustment stages, and confirms the purification indicators associated with each adjustment stage. From the confirmed purification indicators, the optimal ratio parameters are selected and executed. Specifically, in the actual treatment process, there are cases of over-reduction or over-oxidation. The ratio of the reducing agent and the oxidizing agent is appropriately adjusted. The essence is to optimize the reaction conditions so that the redox process is more in line with the characteristics of the pollutants, water quality fluctuations and treatment goals, thereby achieving multiple improvements of "efficiently removing pollutants, reducing costs, reducing secondary pollution, and improving process stability". In actual applications, it is necessary to combine water quality testing, small-scale test verification and on-site dynamic adjustment to maximize the value of ratio optimization; among them, the specific method of selecting the optimal ratio parameters is: based on the reduction treatment parameters and oxidation treatment parameters associated with the corresponding reduction and oxidation stages, the reduction treatment parameters associated at the corresponding moment are recorded as H k , the oxidation treatment parameter is recorded as L k , where k represents different moments; using: H k ±(H k ×0.1) and L k ±(0.1×L k ) confirmation method, adjust the reduction treatment parameters and oxidation treatment parameters associated with different subsequent moments, and the adjustment ratios associated with different subsequent moments are different. For example: at the current moment, it is normal and no adjustment is made. At the next moment H k Increase by 0.1 percentage, L kAlso increase by 0.1 percentage, then at other subsequent moments, the two parameters cannot be increased by 0.1 percentage at the same time, and other adjustment methods need to be implemented, such as H k Increase by 0.1 percentage, L k No adjustment or downward adjustment by 0.1 percentage; after the adjustment and change process, confirm the purification index associated with the water purification curve and the parameter change curve (consistent with the method of confirming the purification index in the purification feature), and confirm the purification index associated with different subsequent moments. From the confirmed purification indexes, select the minimum value, record the adjustment ratio associated with the minimum value, and use it as the optimal ratio parameter.

[0019] Among them, the execution center, based on the confirmed optimal ratio parameters, makes proportional adjustments to the subsequent confirmed reduction treatment parameters and oxidation treatment parameters to ensure the accuracy of the water purification process.

[0020] Some of the data in the above formulas are dimensionless and numerically calculated. Meanwhile, the contents not described in detail in this specification belong to the prior art known to those skilled in the art.

[0021] The above embodiments are only used to illustrate the technical method of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A chemical park wastewater treatment control system based on wireless networking, characterized in that: include: The monitoring center monitors different parameter indicators of chemical wastewater and generates parameter change curves associated with the corresponding parameter indicators based on the different parameter indicators monitored at different time points; The associated parameter confirmation center confirms the characteristics of the parameter change curves associated with different chemical wastewaters, then confirms the treatment parameters associated with the corresponding water purification area, and purifies the chemical wastewater in the water purification area based on the confirmed treatment parameters. The specific methods are as follows: According to the parameter change curve associated with the corresponding chemical wastewater, the parameter index associated with the corresponding parameter change curve is confirmed, and the pipeline length from the corresponding parameter index monitoring node to the water purification area is confirmed based on the pipeline network. According to the confirmed pipeline length and the preset water flow rate, the transmission time is confirmed; Confirm the parameter index Z associated with the corresponding time node t from the parameter change curve i , where i represents different time nodes, and the current time node t is taken as the center point. A set of time search ranges [t±Y1] is determined, where Y1 is a preset value. The curve segments associated with the time search range are recorded as pending segments, and several sets of parameter indicators Z associated with the pending segments are recorded as i Perform mean processing to confirm the characteristic indicators associated with the current time node t; Then, from the preset purification comparison table, confirm the concentration ratio associated with the characteristic index, and record the confirmed concentration ratio as the treatment parameter associated with the corresponding water treatment area at the corresponding time [t + transmission time], and execute it when the time arrives. The purification comparison table is the preset table; The process verification processing center monitors the parameter indicators of the water purification area after the water purification treatment is completed, and generates a water purification curve associated with the corresponding parameter indicators. The water purification curve is compared and verified with the parameter change curve to confirm the purification characteristics. The specific method is as follows: Define a set of monitoring periods, which are preset periods. Process the water purification curve and parameter change curve associated with the monitoring period: confirm the parameter index ZB1 associated with time node t from the parameter change curve, and then confirm the parameter index ZB2 associated with [t + transmission time + purification time] in the water purification curve. The purification time is the preset time. Use: (ZB1-ZB2)=JH to obtain the purification index JH. The variance of several groups of purification indicators JH confirmed in the corresponding monitoring period is processed to confirm the characteristic variance. The confirmed characteristic variance is used as the purification feature to identify whether the purification feature meets the following conditions: purification feature ≤ Y2. If so, there is no need to execute the time correction process. If not, the time correction process is executed, and Y2 is the preset value. Then execute the time correction process to lock the optimal time feature and execute it. The specific method is as follows: Execute several monitoring cycles, and based on the confirmed time node t, limit the search range to [t±Y1], so that the value Y1 gradually increases from 5 and stops when it increases to 10, and confirm several different search ranges; And synchronously correct the time node t, give t an offset feature, and the offset feature value is ±2; In each monitoring cycle, under the state of t assigning offset characteristics and changing the search range, the selection time associated with the undetermined segment in each monitoring time is different, and the purification characteristics associated with each different monitoring cycle are confirmed. From the confirmed purification characteristics, the purification characteristics that meet the purification characteristics ≤ Y2 are selected as the selected characteristics; If there is only one set of selected features, the time feature associated with the selected feature is confirmed, including the offset feature associated with the corresponding time node t and the search range, and this time feature is executed in the subsequent selection process of the pending segment; If there are multiple groups of selected features, the minimum value is determined, and the selected feature associated with the minimum value is used as the determined feature. The time feature associated with the determined feature is also confirmed, and this time feature is executed in the subsequent selection process of the pending segment; If the selected feature does not exist, an error signal is generated directly.

2. A chemical park wastewater treatment control system based on wireless networking according to claim 1, characterized in that: Also includes: The associated ratio adjustment center adjusts the ratio of the treatment parameters associated with the reduction and oxidation stages, executes several adjustment stages, and confirms the purification indicators associated with each adjustment stage, and selects the optimal ratio parameters from the confirmed purification indicators.

3. A chemical park wastewater treatment control system based on wireless networking according to claim 2, characterized in that: The specific method for the associated ratio adjustment center to select the optimal ratio parameters is: According to the reduction treatment parameters and oxidation treatment parameters associated with the corresponding reduction and oxidation stages, the reduction treatment parameters associated with the corresponding moment are recorded as H k , the oxidation treatment parameter is recorded as L k , where k represents different moments; Use: H k ±(H k ×0.1) and L k ±(0.1×L k ) confirmation method, adjusting and changing the reduction treatment parameters and oxidation treatment parameters associated with different subsequent moments, and the adjustment ratios associated with different subsequent moments are all different; After the adjustment and change processing, the purification indicators associated with the water purification curve and the parameter change curve are confirmed, and the purification indicators associated with different subsequent moments are confirmed. From the confirmed purification indicators, the minimum value is selected, and the adjustment ratio associated with the minimum value is recorded and used as the optimal ratio parameter.

4. A chemical park wastewater treatment control system based on wireless networking according to claim 3, characterized in that: The execution center adjusts the subsequent confirmed reduction treatment parameters and oxidation treatment parameters in proportion based on the confirmed optimal ratio parameters.

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