Flocculation grid plate automatic control system and method

Abstract

The invention relates to the technical field of flocculation treatment, and discloses an automatic control system and method for a grid plate for flocculation, and the method comprises the following steps: collecting water quality data, water flow data and flocculation effect index data of inlet water of a flocculation device in real time; based on the water quality data, the water flow data and the flocculation effect index data, calculating and adjusting the distance between grid plates; based on the flocculation effect index data and the water flow data after the distance between the grid plates is adjusted, the data transmission time interval and the inclination angle of the grid plates are adjusted; adjusting a data acquisition strategy based on the historical data of the water quality data, the water flow data, the grid plate spacing, the grid plate inclination angle and the corresponding flocculation effect index acquired each time; and diagnosing and calibrating the flocculation device. The distance and the inclination angle of the grid plates can be flexibly adjusted, equipment faults are positioned and calibrated by utilizing a self-diagnosis technology, and the problems that in the prior art, parameters of the grid plates cannot be adjusted, and equipment is difficult to maintain are solved.

Description

Technical Field

[0001] The present invention relates to the technical field of flocculation treatment, and in particular to an automatic control system and method for a flocculation grid plate. Background Art

[0002] During the flocculation process, the flow pattern within the flocculation tank plays a key role in determining the flocculation effect. Traditional flocculation devices often struggle to adapt flexibly to changes in water quality and quantity, resulting in unstable flocculation results. This is particularly true for bar flocculation tanks, where fixed bar parameters prevent effective control of the eddy flow field scale based on actual conditions, making them difficult to adapt to complex and changing water quality and quantity conditions.

[0003] With the expansion of industrial scale and stricter environmental standards, the water treatment sector is facing increasing demands for flocculation efficiency and water quality control. The continuous emergence of various complex wastewaters, with frequent fluctuations in both quality and quantity, poses significant challenges to flocculation processes. Furthermore, the need for stable equipment operation is driving the continuous innovation of flocculation technology to adapt to new production and environmental challenges.

[0004] Traditional flocculation slat control methods rely on fixed parameters. They lack the flexibility to adjust slat spacing and tilt angles to accommodate changes in pollutant levels and types in the water. Equipment failures are difficult and time-consuming to troubleshoot and repair, hindering water treatment progress.

[0005] Therefore, it is necessary to design an automatic control system and method for flocculation grid plates to solve the problems of unadjustable grid plate parameters and difficult equipment maintenance in the existing technology. Through innovative control processes and intelligent diagnosis, the equipment operation stability and flocculation efficiency can be improved to meet the stringent requirements of modern water treatment. Summary of the Invention

[0006] In view of this, the present invention proposes an automatic control system and method for flocculation slats, which aims to solve the problem of how to accurately perceive water quality data, type and water volume changes through multi-dimensional data collection and analysis, flexibly adjust the spacing and inclination angle of the slats, and timely optimize the control parameters according to the flocculation effect. At the same time, self-diagnosis technology is used to quickly locate and calibrate, so as to solve the problems of unadjustable slat parameters and difficult equipment maintenance in the existing technology, and improve the equipment operation stability and its flocculation efficiency.

[0007] In one aspect, the present invention provides a method for automatically controlling a flocculation grid plate, comprising:

[0008] Real-time collection of water quality data, water flow data and flocculation effect index data of the flocculation device inlet;

[0009] Calculating and adjusting the grid slat spacing based on the water quality data, water flow data, and flocculation effect index data;

[0010] Adjusting the data transmission time interval and the inclination angle of the slats based on the flocculation effect index data and the water flow data after adjusting the slat spacing;

[0011] Adjust the data collection strategy based on the water quality data, water flow data, grid plate spacing, grid plate inclination angle and historical data of corresponding flocculation effect indicators collected each time;

[0012] Diagnose and calibrate flocculation units.

[0013] Furthermore, the water quality data includes: suspended matter concentration, suspended matter type; the water flow data includes: water flow velocity data and water volume data; the flocculation effect index data includes: floc particle size data, floc formation speed, distribution uniformity and sedimentation performance.

[0014] Furthermore, the process of collecting the water quality data, water flow data and flocculation effect index data of the water entering the flocculation device in real time includes:

[0015] During the flocculation reaction, the data information of water quality, water flow and flocculation effect index after each collection is recorded and saved in real time;

[0016] Establishing a flocculation standard model based on the data information;

[0017] Presetting the flocculation effect index range and the water flow data range based on the flocculation standard model;

[0018] The flocculation effect index range includes the floc particle size range, and the water flow data range includes: water flow velocity range and water volume range.

[0019] Furthermore, the process of calculating and adjusting the grid slat spacing based on the water quality data, water flow data, and flocculation effect index data includes:

[0020] Adjust the grid plate spacing according to the floc particle size data, the water flow velocity data, the preset floc particle size range, and the preset water flow velocity range;

[0021] If the floc particle size data is not within the preset floc particle size range,

[0022] When the water flow velocity data is greater than the preset water flow velocity range, the grid plate spacing is increased;

[0023] When the water flow velocity data is less than the preset water flow velocity range, the grid plate spacing is reduced;

[0024] If the floc particle size data is within the preset floc particle size range, the grid bar spacing is not adjusted.

[0025] Furthermore, the process of adjusting the data transmission time interval and the inclination angle of the slats based on the flocculation effect index data and the water flow data after adjusting the slat spacing includes:

[0026] After adjusting the spacing between the grating boards,

[0027] Adjust the data transmission time interval according to the flocculation effect index data and the preset flocculation effect index range; and adjust the grid plate inclination angle according to the water volume data after the adjustment of the data transmission time interval and the preset water volume range;

[0028] If the flocculation effect index data does not reach the preset flocculation effect index range, the data transmission time interval is shortened;

[0029] If the flocculation effect index data reaches the preset flocculation effect index range, the data transmission time is extended.

[0030] Furthermore, the process of adjusting the inclination angle of the grating plate according to the water volume data after adjusting the data transmission time interval and the preset water volume range includes:

[0031] After adjusting the data transmission time interval,

[0032] If the water volume data exceeds the preset water volume range, the inclination angle of the grid plate is increased;

[0033] If the water volume data is less than the preset water volume range, the inclination angle of the grid plate is reduced.

[0034] Furthermore, the grid bar parameters include: grid bar spacing, grid bar inclination angle;

[0035] Based on the water quality data, water flow data, grid plate spacing, grid plate inclination angle and historical data of corresponding flocculation effect indicators collected each time, the data collection strategy is adjusted as follows:

[0036] The water quality data, water flow data, slat plate parameter data and corresponding flocculation effect index data collected each time are recorded, and the optimal slat plate parameter combination is determined using a machine learning algorithm. The parameter calculation rules are optimized based on the optimal slat plate parameter combination.

[0037] Furthermore, based on the water quality data, water flow data, grid plate spacing, grid plate inclination angle and historical data of corresponding flocculation effect indicators collected each time, the data collection strategy is adjusted to include:

[0038] If the water quality data, water flow data and flocculation effect index data collected each time are within the preset data fluctuation range within the preset time range, the data collection frequency is reduced;

[0039] If the water quality data, water flow data and flocculation effect index data collected each time exceed the preset data fluctuation range within the preset time range, a data change trend model is established, and the data collection frequency is adjusted according to the data change trend model.

[0040] Compared with the prior art, the present invention has the following beneficial effects:

[0041] The present invention collects multi-dimensional data in real time and accurately calculates and adjusts the parameters of the slats based on the data. This can create the most suitable hydraulic conditions and coagulation environment for the flocculation reaction under different water quality and quantity conditions, significantly improving the stability and reliability of the slat flocculation tank and enhancing the flocculation effect. By rationally adjusting the slat parameters, it is possible to ensure sufficient turbulence intensity, promote particle collisions, and avoid excessive shearing to destroy the flocs. At the same time, it reduces unnecessary water flow resistance and energy consumption, and reduces operating costs while ensuring the flocculation effect. Autonomous diagnosis and calibration of the equipment can ensure long-term stable operation of the equipment, significantly improving the stability and reliability of the slat flocculation tank, improving the flocculation treatment effect, and reducing the frequency of manual maintenance and intervention.

[0042] On the other hand, the present invention also proposes an automatic control system for flocculation grid plates, comprising: a data acquisition module, a control module, a data storage module and a self-diagnosis module;

[0043] The data acquisition module is used to collect water quality data, water flow data, flocculation effect index data and flocculation effect index data of the flocculation device in real time;

[0044] The control module is used to calculate and adjust the grid plate spacing based on water quality data, water flow data and flocculation effect index data;

[0045] The control module is further used to adjust the data transmission time interval and the grid plate inclination angle based on the flocculation effect index data;

[0046] The data storage module is used to store historical data of water quality data, water flow data, grid plate parameter data, and flocculation effect index data;

[0047] The self-diagnosis module is used to diagnose and calibrate the flocculation device;

[0048] The control module is further configured to adjust a data collection strategy based on the historical data;

[0049] The control module is electrically connected to the data acquisition module, the data storage module and the self-diagnosis module respectively, and controls the operation of the data acquisition module, the data storage module and the self-diagnosis module.

[0050] Furthermore, the control module has a built-in driving device, and the driving device is used to adjust the parameters of the grid plate.

[0051] It is understandable that the automatic control system and method for flocculation grid plates in the above-mentioned embodiments of the present invention have the same beneficial effects, and are not described in detail. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] Various other advantages and benefits will become apparent to those skilled in the art upon reading the detailed description of the preferred embodiment below. The accompanying drawings are for the purpose of describing the preferred embodiment only and are not intended to limit the present invention. The same reference numerals are used throughout the drawings to represent the same components. In the drawings:

[0053] Figure 1 A flow chart of an automatic control method for a flocculation grid plate provided by an embodiment of the present invention;

[0054] Figure 2 This is a functional block diagram of an automatic control system for flocculation grid plates provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0055] The exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the embodiments of the present disclosure can be implemented in various forms and should not be limited by the description herein. On the contrary, these embodiments are provided to enable a more thorough understanding of the embodiments of the present disclosure and to fully convey the scope of the embodiments of the present disclosure to those skilled in the art. It should be noted that, unless there is a conflict, the embodiments of the present disclosure and the features in the embodiments can be combined with each other. The present invention will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0056] During the flocculation process, the flow pattern within the flocculation tank plays a critical role in determining the flocculation effect. Traditional flocculation devices often struggle to adapt flexibly to changes in water quality and quantity, resulting in unstable flocculation results. This is particularly true for slat flocculation tanks, where fixed slat parameters prevent effective control of the eddy flow field scale based on actual conditions, making them difficult to adapt to complex and changing water quality and quantity conditions.

[0057] With the expansion of industrial scale and stricter environmental standards, the water treatment sector is facing increasing demands for flocculation efficiency and water quality control. The continuous emergence of various complex wastewaters, with frequent fluctuations in both quality and quantity, poses significant challenges to flocculation processes. Furthermore, the need for stable equipment operation is driving the continuous innovation of flocculation technology to adapt to new production and environmental challenges.

[0058] Traditional flocculation slat control methods rely on fixed parameters, making it difficult to flexibly adjust slat spacing and tilt angles as water quality and type change. Equipment failures are difficult and time-consuming to troubleshoot and repair, impacting water treatment processes.

[0059] Therefore, the development of an automatic control system and method for flocculation grid plates can solve the problems of unadjustable grid plate parameters and difficult equipment control in the existing technology, and can improve the equipment operation stability and flocculation efficiency to meet the stringent requirements of modern water treatment.

[0060] Reference Figure 1 In some embodiments of the present application, a method for automatically controlling a flocculation grid plate includes:

[0061] S1. Real-time collection of water quality data, water flow data and flocculation effect index data of the water entering the flocculation device;

[0062] S2. Calculating and adjusting the grid slat spacing based on the water quality data, water flow data, and flocculation effect index data;

[0063] S3. Adjusting the data transmission time interval and the inclination angle of the slats based on the flocculation effect index data and the water flow data after adjusting the slat spacing;

[0064] S4. Adjusting the data collection strategy based on the water quality data, water flow data, grid plate spacing, grid plate inclination angle and historical data of corresponding flocculation effect indicators collected each time;

[0065] S5. Diagnose and calibrate the flocculation device.

[0066] Specifically, monitoring points are arranged at multiple locations at the water inlet of the flocculation device and in the flocculation tank. Water quality data of the inlet water is obtained in real time through water quality sensors. The complexity of the water quality and the characteristics of suspended matter are judged by analyzing the water quality data. High-precision flow sensors and flow velocity sensors are installed on the water inlet pipe to synchronously monitor the changes in the water volume of the inlet water and obtain information such as flow rate and flow velocity in order to understand the dynamic characteristics of the water flow. The water flow status at different positions in the flocculation device is also monitored, such as the degree of turbulence of the water flow, flow velocity distribution, etc., to provide a basis for subsequent adjustment of the grid plate parameters to enhance their effect on flocculation. At the same time, online monitoring equipment is used to collect flocculation effect index data.

[0067] It is understandable that real-time data collection can accurately grasp the dynamics of water quality and quantity, provide a comprehensive and accurate data basis for subsequent adjustments, and help improve the targeted nature of flocculation control.

[0068] Specifically, based on collected water quality data, specific calculation rules are used to determine the optimal spacing of the slats. When the suspended solids concentration in the water is high, the slat spacing is increased to reduce water flow resistance. When the suspended solids concentration in the water is low, the slat spacing is decreased to increase water flow resistance, creating more collision opportunities for small particles in the water flow. This promotes coagulation and flocculation, allowing small particles to gradually form larger flocs, facilitating subsequent sedimentation and separation, thereby ensuring a certain coagulation effect.

[0069] It's understandable that larger slat spacing provides a wider channel for large flocs, preventing them from breaking up and allowing them to move more smoothly with the water flow, reducing particle retention and accumulation at the slats. Smaller spacing enhances shear forces, promoting particle collisions and, to a certain extent, improving the interception of tiny particles, preventing them from flowing out of the device with the water flow, thereby improving effluent quality.

[0070] Specifically, the optimal slat inclination angle is calculated based on water flow data. When the water flow is high, the slat inclination is increased to improve flow rate, reduce shear forces, and promote floc growth. When the water flow is low, the slat inclination is decreased to increase water turbulence, allowing more time for coagulation reactions and improving flocculation results.

[0071] It can be understood that the inclination angle of the grating plate is the angle between the grating plate and the horizontal plane. The inclination angle of the grating plate affects the speed of water flowing through the grating bars. Increasing the inclination angle can reduce the resistance of the water flow and increase the flow rate through the grating.

[0072] Specifically, a specially designed drive mechanism automatically adjusts the spacing and tilt angle of the slats based on calculated slat parameters. This drive mechanism boasts high-precision control capabilities, enabling precise and accurate adjustments to even the smallest parameters.

[0073] Specifically, during the flocculation process, the flocculation effect index data is continuously monitored. If the flocculation effect is not good, such as the flocs are too small or the sedimentation is slow, the spacing and inclination angle of the grid plates are adjusted to improve the flocculation effect.

[0074] Specifically, the drive unit features self-learning capabilities, recording slat parameters and corresponding flocculation performance indicators under varying water quality and quantity conditions. Using data analytics and machine learning algorithms, it analyzes historical data to identify the optimal slat parameter combination and continuously optimizes parameter calculation rules to adapt to increasingly complex and changing operating conditions, thereby adjusting control strategies and improving flocculation efficiency.

[0075] Specifically, the flocculation device is regularly diagnosed and calibrated, its operating status and sensor accuracy are checked. Water quality sensors and flow sensors are calibrated using a calibration device, and the operating status and accuracy of the drive device are checked to ensure the accuracy and reliability of the device. If any problems are found, they are promptly repaired and adjusted to ensure the stability of the automatic control method.

[0076] It can be seen that the present invention can perceive key data such as water quality and water quantity in real time by collecting multi-dimensional data; by dynamically adjusting parameters such as the grid bar spacing and inclination angle, it can monitor the flocculation effect and optimize the control strategy in real time, and can automatically adjust the grid bar parameters according to different water quality and quantity conditions to achieve efficient flocculation; through equipment self-diagnosis and calibration, it can ensure long-term stable operation of the equipment, significantly improve the reliability of the flocculation tank, and improve the flocculation effect.

[0077] Reference Figure 1 In some embodiments of the present application, water quality data include: suspended matter concentration, suspended matter type; water flow data include: water flow velocity data and water volume data; flocculation effect index data include: floc particle size data, floc formation speed, distribution uniformity and sedimentation performance.

[0078] Specifically, after the flocculation reaction begins, a CCD camera monitors the floc formation process, recording the number of flocs generated and the change in particle size over a period of time to assess the floc formation rate. Image analysis techniques are used to capture and analyze flocs at different time periods, measuring their average diameter and particle size distribution. The flocculated water sample is then allowed to settle for a period of time, observing the flocs' settling. The settling rate and turbidity of the supernatant after settling are measured to assess the floc's settling performance.

[0079] It can be understood that the formation speed, particle size and sedimentation performance of flocs are used as flocculation effect indicator data to comprehensively judge the quality of the flocculation effect and provide a basis for the subsequent adjustment of the grid plate parameters.

[0080] It can be seen that through clear flocculation effect index data, the flocculation effect can be accurately and objectively evaluated, providing a quantitative reference for the optimization and control of the flocculation process, and improving the efficiency and stability of flocculation treatment.

[0081] Reference Figure 1 In some embodiments of the present application, the process of real-time collection of water quality data, water flow data and flocculation effect index data of the water entering the flocculation device includes: during the flocculation reaction process, real-time recording and saving the data information of water quality, water flow and flocculation effect index after each collection; establishing a flocculation standard model based on the data information; and presetting the flocculation effect index range and water flow data range based on the flocculation standard model.

[0082] Specifically, the flocculation effect index range includes the floc particle size range, and the water flow data range includes: water flow velocity range and water volume range.

[0083] It is understandable that the data reflects the initial state and chemical properties of the water to be treated; the water flow rate and water volume affect the mixing uniformity of the flocculant and the water body, as well as the collision and aggregation process of the flocs and the treatment scale; the particle size intuitively reflects the effectiveness of the flocculation reaction. The larger the particle size, the better the flocculation effect, which is more conducive to subsequent sedimentation and separation.

[0084] As you can understand, after each acquisition, the system records and stores the aforementioned water quality, flow, and flocculation performance indicators in real time. This recording process strictly adheres to the time series to ensure data continuity and traceability, providing a detailed and accurate data foundation for subsequent analysis and modeling.

[0085] Specifically, based on the collected and stored data, advanced algorithms such as data mining and machine learning are used to conduct in-depth analysis and processing of massive amounts of data. This allows the selection of water quality data, water flow data, and flocculation effect index data corresponding to good flocculation results. These data constitute the key samples for establishing a standard flocculation model.

[0086] Specifically, based on the established flocculation standard model and combined with actual production requirements and process conditions, reasonable flocculation effect index ranges and water flow data ranges are preset. The flocculation effect index range focuses on the floc particle size, and the appropriate particle size range is determined based on different treatment processes and effluent requirements.

[0087] The water flow data range includes the flow velocity range and water volume range. Through model analysis and simulation, the optimal flow velocity range is determined while ensuring good flocculation results. This ensures that the water flow fully mixes the flocculant without causing floc breakage due to excessive flow rate. At the same time, a reasonable water volume range is set based on the flocculation unit's processing capacity and process requirements to ensure efficient flocculation while maintaining stable system operation.

[0088] It can be seen that by acquiring comprehensive information through real-time data collection, building a flocculation standard model to explore the intrinsic connections between data, and presetting a reasonable range, the water flow, water volume and flocculation effect are closely linked. Based on the associated data, the operating parameters of the flocculation device are monitored and adjusted in real time to ensure that the flocculation effect is always in an ideal state, thereby improving water treatment efficiency and quality.

[0089] Reference Figure 1 In some embodiments of the present application, the process of calculating and adjusting the grid slat spacing based on water quality data, water flow data, and flocculation effect index data includes:

[0090] Adjust the grid plate spacing according to the floc particle size data, the water flow velocity data, the preset floc particle size range, and the preset water flow velocity range;

[0091] If the floc particle size data is not within the preset floc particle size range,

[0092] When the water flow velocity data is greater than the preset water flow velocity range, the grid plate spacing is increased;

[0093] When the water flow velocity data is less than the preset water flow velocity range, the grid plate spacing is reduced;

[0094] If the floc particle size data is within the preset floc particle size range, the grid bar spacing is not adjusted.

[0095] It's understood that if the floc particle size data falls within the preset floc particle size range, the flocculation effect is good, and there's no need to adjust the slat spacing. If the floc particle size data falls outside the preset range, and the water flow rate is low, care should be taken to avoid floc sedimentation caused by slow water flow, which could affect treatment effectiveness. Depending on the specific situation, the slat spacing can be appropriately reduced to increase water turbulence, ensuring a more optimal floc residence time within the device and achieving a more effective flocculation effect.

[0096] It is understandable that when the water flow rate is high, in order to prevent large flocs from being sheared and broken by the water flow, the spacing between the grating plates should be increased to make the water flow more stable, reduce the damage to the flocs, and at the same time be conducive to the formation of large flocs.

[0097] It can be understood that the present application flexibly adjusts the grid plate spacing according to the particle size data of the flocculent particles in the water and the water flow velocity distribution, which can better adapt to the actual situation, improve the mixing and collision efficiency, and enhance the flocculation reaction effect.

[0098] Reference Figure 1 In some embodiments of the present application, the process of adjusting the data transmission time interval and the grid bar inclination angle based on the flocculation effect index data and water flow data after adjusting the grid bar spacing includes: after adjusting the grid bar spacing, adjusting the data transmission time interval according to the flocculation effect index data and the preset flocculation effect index range; and adjusting the grid bar inclination angle according to the water volume data after adjusting the data transmission time interval and the preset water volume range.

[0099] Specifically, if the flocculation effect index data does not reach the preset flocculation effect index range, the data transmission time interval is shortened; if the flocculation effect index data reaches the preset flocculation effect index range, the data transmission time interval is extended.

[0100] It is understandable that when the water quality data and flocculation effect do not meet the standards, it means that there are some problems with the flocculation device. For example, the spacing between the slats is still not ideal after adjustment. Shortening the data transmission time interval can obtain relevant data on water quality and flocculation effect more frequently, so that the staff can grasp the operating status of the system in time, so as to quickly discover problems and take corresponding measures, and provide a more sufficient basis for further optimizing the slat parameters, so that the flocculation effect can reach the expected goal as soon as possible.

[0101] When both water quality and flocculation effectiveness meet expected standards, the flocculation system is operating stably and effectively. Extending the data transmission interval at this point can reduce the frequency of data transmission while ensuring timely monitoring of system status. This reduces energy consumption, network bandwidth usage, and the operational burden on the equipment during data transmission, saving resources and costs.

[0102] It can be seen that adjusting the data transmission time interval according to water quality and flocculation effect indicators can optimize resource utilization and improve system operation efficiency and stability while ensuring timely understanding of the flocculation device operation status.

[0103] Reference Figure 1 In some embodiments of the present application, the process of adjusting the inclination angle of the grating plate according to the water volume data after adjusting the data transmission time interval and the preset water volume range includes: after adjusting the data transmission time interval, if the water flow data exceeds the preset water volume range, increasing the inclination angle of the grating plate; if the water flow data is less than the preset water volume range, reducing the inclination angle of the grating plate.

[0104] It can be understood that when the water volume exceeds the preset range, the inclination angle is increased, the water flow velocity through the screen is reduced, the retention time of the floc particles is increased, and it helps to promote the growth of the particles.

[0105] It is understood that when the water volume is less than the preset range, reducing the inclination angle can enhance the flow-pushing effect, make the water flow more evenly distributed in the device, avoid the occurrence of local water stagnation areas, and thus improve the efficiency of the flocculation reaction.

[0106] It is understandable that precisely adjusting the spacing and inclination angle of the grating plates according to different water volumes and water quality conditions can effectively cope with complex and changeable wastewater treatment conditions, improve flocculation effects and treatment efficiency, and reduce operating costs.

[0107] Reference Figure 1 In some embodiments of the present application, the grating plate parameters include: grating plate spacing, grating plate inclination angle; based on the water quality data, water flow data collected each time, the historical data of grating plate spacing, grating plate inclination angle and corresponding flocculation effect indicators adjust the data collection strategy.

[0108] Specifically, the water quality data, water flow data, slat plate parameter data and corresponding flocculation effect index data collected each time are recorded, and the machine learning algorithm is used to determine the optimal slat plate parameter combination, and the parameter calculation rules are optimized according to the optimal slat plate parameter combination.

[0109] Specifically, during each flocculation treatment process, the collected water quality data, water flow data, grid plate setting parameters and corresponding flocculation effect index data are recorded to establish a detailed historical database.

[0110] Specifically, machine learning algorithms are used to conduct in-depth analysis of historical data to identify the optimal slat parameter combinations for different water quality and quantity conditions. For example, cluster analysis and regression analysis can be used to determine the parameters such as slat spacing and tilt angle that achieve the best flocculation effect within a specific water quality and quantity range.

[0111] Specifically, based on the optimal grid plate parameter combination obtained through analysis, the parameter calculation rules are optimized, the data acquisition strategy is adjusted, and then the control of the grid plates is adjusted, so that the system can automatically select the optimal grid plate parameters under different water quality and quantity conditions, thereby improving the efficiency of flocculation treatment.

[0112] It can be seen that through the analysis and utilization of historical data, the control strategy can be continuously optimized, the intelligence level and adaptive ability of the system can be improved, the flocculation process can be made more scientific and efficient, and the operating costs and manpower and power inputs can be reduced.

[0113] Reference Figure 1 In some embodiments of the present application, adjusting the data collection strategy based on the historical data of water quality data, water flow data, grid bar spacing, grid bar inclination angle and corresponding flocculation effect index collected each time also includes: if the water quality data, water flow data and flocculation effect index data collected each time are within a preset data fluctuation range within a preset time range, then reducing the data collection frequency; if the water quality data, water flow data and flocculation effect index data collected each time exceed the preset data fluctuation range within the preset time range, then establishing a data change trend model, and adjusting the data collection frequency according to the data change trend model.

[0114] It is understandable that if the data fluctuates, by establishing a data change trend model and analyzing the data change patterns and trends, we can predict possible problems, such as water quality deterioration, decreased flocculation effect, etc., and adjust the data collection strategy in advance, increase the data collection frequency and collection scope, so as to detect problems in time and take corresponding control and adjustment measures.

[0115] It is understandable that dynamically adjusting the data collection frequency and strategy according to the changes in water quality, water quantity and flocculation effect indicator data can reduce operating costs and data processing costs while ensuring the normal operation of the system, while promptly discovering potential problems and improving the reliability and stability of the system.

[0116] In another preferred embodiment based on the above embodiment, refer to Figure 2 As shown, this embodiment provides an automatic control system for flocculation grid plates, including: a data acquisition module, a control module, a data storage module and a self-diagnosis module.

[0117] Specifically, the data acquisition module is used to collect water quality data, water flow data, flocculation effect index data and flocculation effect index data of the flocculation device in real time;

[0118] Specifically, the control module is used to calculate and adjust the grid plate spacing based on water quality data, water flow data and flocculation effect index data;

[0119] Specifically, the control module is also used to adjust the data transmission time interval and the grid plate inclination angle based on the flocculation effect index data;

[0120] Specifically, the data storage module is used to store historical data of water quality data, water flow data, grid plate parameter data, and flocculation effect index data;

[0121] Specifically, the self-diagnostic module is used to diagnose and calibrate the flocculation device;

[0122] Specifically, the control module is also used to adjust the data collection strategy based on historical data;

[0123] Specifically, the control module is electrically connected to the data acquisition module, the data storage module and the self-diagnosis module respectively, and controls the operation of the data acquisition module, the data storage module and the self-diagnosis module.

[0124] See Figure 2 As shown, in some embodiments of the present application, the control module has a built-in driving device, and the driving device is used to adjust the parameters of the grid plate.

[0125] It is understandable that the automatic control system and method for flocculation grid plates in the above-mentioned embodiments of the present invention have the same beneficial effects, which will not be described in detail.

[0126] It should be noted that:

[0127] In the description provided herein, a large number of specific details are described. However, it is understood that the embodiments of the present application can be practiced without these specific details. In some instances, well-known structures and technologies are not shown in detail so as not to obscure the understanding of this description.

[0128] Similarly, it should be understood that in order to streamline the present application and aid in understanding one or more of the various inventive aspects, in the above description of exemplary embodiments of the present application, various features of the present application are sometimes grouped together into a single embodiment, figure, or description thereof. However, the disclosed system should not be interpreted as reflecting a schematic representation that the claimed application requires more features than are expressly recited in each claim.

[0129] Rather, as the following claims reflect, inventive aspects lie in less than all features of a single foregoing disclosed embodiment.The claims following the Detailed Description are thus expressly incorporated into this Detailed Description, with each claim standing on its own as a separate embodiment of this application.

[0130] Furthermore, those skilled in the art will appreciate that although some embodiments described herein include certain features and not other features included in other embodiments, the combination of features from different embodiments is meant to be within the scope of this application and to form different embodiments.

[0131] For example, in the following claims, any of the claimed embodiments can be used in any combination.

[0132] The above description is merely a preferred embodiment of the present application, but the scope of protection of the present application is not limited thereto. Any changes or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in this application should be included in the scope of protection of the present application. Therefore, the scope of protection of the present application should be based on the scope of protection of the claims.

Claims

1. A method for automatically controlling a flocculation grid plate, characterized in that: Real-time collection of water quality data, water flow data and flocculation effect index data of the flocculation device inlet; Calculating and adjusting the grid slat spacing based on the water quality data, water flow data, and flocculation effect index data; Adjusting the data transmission time interval and the inclination angle of the slats based on the flocculation effect index data and the water flow data after adjusting the slat spacing; Adjust the data collection strategy based on the water quality data, water flow data, grid plate spacing, grid plate inclination angle and historical data of corresponding flocculation effect indicators collected each time; Diagnose and calibrate flocculation units.

2. The automatic control method for flocculation grid plates according to claim 1, characterized in that: The water quality data includes: suspended matter concentration and suspended matter type; the water flow data includes: water flow velocity data and water volume data; the flocculation effect index data includes: floc particle size data, floc formation speed, distribution uniformity and sedimentation performance.

3. The automatic control method for flocculation grid plates according to claim 2, characterized in that: The process of real-time collection of water quality data, water flow data, and flocculation effect index data of the water entering the flocculation device includes: During the flocculation reaction, the data information of water quality, water flow and flocculation effect index after each collection is recorded and saved in real time; Establishing a flocculation standard model based on the data information; Presetting the flocculation effect index range and the water flow data range based on the flocculation standard model; The flocculation effect index range includes the floc particle size range, and the water flow data range includes: water flow velocity range and water volume range.

4. The automatic control method for flocculation grid plates according to claim 3, characterized in that: The process of calculating and adjusting the grid plate spacing based on the water quality data, water flow data, and flocculation effect index data includes: Adjust the grid plate spacing according to the floc particle size data, the water flow velocity data, the preset floc particle size range, and the preset water flow velocity range; If the floc particle size data is not within the preset floc particle size range, When the water flow velocity data is greater than the preset water flow velocity range, the grid plate spacing is increased; When the water flow velocity data is less than the preset water flow velocity range, the grid plate spacing is reduced; If the floc particle size data is within the preset floc particle size range, the grid bar spacing is not adjusted.

5. The automatic control method for flocculation grid plates according to claim 4, characterized in that: The process of adjusting the data transmission time interval and the inclination angle of the slats based on the flocculation effect index data and the water flow data after adjusting the slat spacing includes: After adjusting the spacing between the grating boards, Adjust the data transmission time interval according to the flocculation effect index data and the preset flocculation effect index range; and adjust the grid plate inclination angle according to the water volume data after the adjustment of the data transmission time interval and the preset water volume range; If the flocculation effect index data does not reach the preset flocculation effect index range, the data transmission time interval is shortened; If the flocculation effect index data reaches the preset flocculation effect index range, the data transmission time is extended.

6. The automatic control method for flocculation grid plates according to claim 5, characterized in that: The process of adjusting the inclination angle of the grating plate according to the water volume data after adjusting the data transmission time interval and the preset water volume range includes: After adjusting the data transmission time interval, If the water volume data exceeds the preset water volume range, the inclination angle of the grid plate is increased; If the water volume data is less than the preset water volume range, the inclination angle of the grid plate is reduced.

7. The automatic control method for flocculation grid plates according to claim 6, characterized in that: The grid bar parameters include: grid bar spacing, grid bar inclination angle; Based on the water quality data, water flow data, grid plate spacing, grid plate inclination angle and historical data of corresponding flocculation effect indicators collected each time, the data collection strategy is adjusted as follows: The water quality data, water flow data, slat plate parameter data and corresponding flocculation effect index data collected each time are recorded, and the optimal slat plate parameter combination is determined using a machine learning algorithm. The parameter calculation rules are optimized based on the optimal slat plate parameter combination.

8. The automatic control method for flocculation grid plates according to claim 6, characterized in that: Based on the water quality data, water flow data, grid plate spacing, grid plate inclination angle and historical data of corresponding flocculation effect indicators collected each time, the data collection strategy is adjusted to include: If the water quality data, water flow data and flocculation effect index data collected each time are within the preset data fluctuation range within the preset time range, the data collection frequency is reduced; If the water quality data, water flow data and flocculation effect index data collected each time exceed the preset data fluctuation range within the preset time range, a data change trend model is established, and the data collection frequency is adjusted according to the data change trend model.

9. An automatic control system for flocculation slats, applicable to the automatic control method for flocculation slats according to any one of claims 1 to 8, characterized in that: include: Data acquisition module, control module, data storage module and self-diagnosis module; The data acquisition module is used to collect water quality data, water flow data, and flocculation effect index data of the flocculation device in real time; The control module is used to calculate and adjust the grid plate spacing based on water quality data, water flow data and flocculation effect index data; The control module is further used to adjust the data transmission time interval and the grid plate inclination angle based on the flocculation effect index data; The data storage module is used to store historical data of water quality data, water flow data, grid plate parameter data, and flocculation effect index data; The self-diagnosis module is used to diagnose and calibrate the flocculation device; The control module is further configured to adjust a data collection strategy based on the historical data; The control module is electrically connected to the data acquisition module, the data storage module and the self-diagnosis module respectively, and controls the operation of the data acquisition module, the data storage module and the self-diagnosis module.

10. The automatic control system for flocculation grid plates according to claim 9, characterized in that: The control module has a built-in driving device, and the driving device is used to adjust the parameters of the grid plate.

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