An automatic backwash system for filter tank of waterworks
Patent Information
- Application Number
- CN202521212143.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Utility models(China)
- Current Assignee / Owner
- Filing Date
- 2025-06-13
- Publication Date
- 2026-09-11
- Estimated Expiration
- 2035-06-13
AI Technical Summary
[0002]在自来水厂滤水的工艺中,滤池反冲洗效果直接影响滤池出水水质,如反冲洗强度、时间与反冲洗周期是均是影响反冲洗效果的重要参数,而在反冲洗强度与时间参数满足设计要求的前提下,反冲洗周期的确定尤为重要,若反冲周期时间过长,则影响滤池过滤效果且降低出水水质的安全性,正常的反冲洗强度与时间的设置也不能充分地把滤料表面上的污泥冲洗干净,并可能出现反冲洗废水排不尽的问题,从而导致污泥又回到滤池中去,长期下去滤层表面将形成泥膜;相反,若反冲洗周期过短,则会浪费不必要的清水和能耗,传统的自来水厂通常基于过往经验和主观判断对滤池反冲洗时间周期的设定,并不能真正的代表滤池已经达到需要反冲的实际状况,而反冲洗时间周期的设定与不同季节,不同水质情况的关系也很大,对生产操作者及要求比较高,需要人工通过经验调控滤池反冲洗时间周期的预设值,这样的结构设计显然存在过度依赖技术人员的经验和主观判断,并且容易出现人工误判的情况,因此需要予以改进
本实用新型通过神经网络运算模块读取原水监测系统、待滤水监测系统数据、滤后水监控系统和滤池监控系统的实时数据,并自动计算出滤池反冲洗周期阈值,在PLC控制系统监测到滤池运行时间大于或等于滤池反冲洗周期阈值时,PLC控制系统自动触发反冲洗系统,这样的结构设计能够实时输出结果,滤池反冲洗周期阈值不再是预设的固定值,而是实况计算能到的数值,能够为滤池提供最优的反冲洗周期,解决了滤池因反冲洗周期过短或者过长而效果不佳的技术问题,另外,本实用新型从多维度设定滤池冲洗的触发条件,能够根据水质和滤池的运行参数,实时地调整滤池反冲洗周期,实现自动反冲洗,其自动化程度高,且能减少工人为操作和人为主观判断失误,实用性高。
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Figure CN224735831U_ABST
Abstract
Description
Technical Field
[0001] This utility model relates to the field of water treatment technology in waterworks, and in particular to an automatic backwashing system for filter beds in waterworks. Background Technology
[0002] In the water filtration process of water treatment plants, the backwashing effect of the filter directly affects the quality of the effluent. Backwashing intensity, time, and cycle are all important parameters affecting the backwashing effect. While the backwashing intensity and time parameters meet design requirements, determining the backwashing cycle is particularly crucial. If the backwashing cycle is too long, it will affect the filtration effect and reduce the safety of the effluent. Even with normal backwashing intensity and time settings, the sludge on the filter media surface may not be thoroughly washed away, and backwash wastewater may not be completely discharged, causing the sludge to return to the filter. Over time, this will lead to the formation of sludge on the filter surface. Mud film; conversely, if the backwashing cycle is too short, it will waste unnecessary clean water and energy. Traditional waterworks usually set the backwashing time cycle of the filter based on past experience and subjective judgment, which cannot truly represent that the filter has reached the actual condition that requires backwashing. Moreover, the setting of the backwashing time cycle is also greatly affected by different seasons and different water quality conditions, which places high demands on the production operators. It requires manual adjustment of the preset value of the filter backwashing time cycle through experience. Such a structural design obviously relies too much on the experience and subjective judgment of technical personnel and is prone to human misjudgment. Therefore, it needs to be improved. Utility Model Content
[0003] In view of the shortcomings of the existing technology, the purpose of this utility model is to provide an automatic backwashing system for filter beds in waterworks.
[0004] To achieve the above objectives, the technical solution adopted by this utility model is: an automatic backwashing system for a filter bed in a waterworks, comprising a raw water pipeline, a filter bed, a filter bed outlet pipeline, a backwashing system, a coagulation and sedimentation device, a PLC control system, a raw water monitoring system located on the raw water pipeline, a water to be filtered monitoring system located on the coagulation and sedimentation device, a filter bed monitoring system located on the filter bed, and a filtered water monitoring system located on the filter bed outlet pipeline. The raw water from the raw water pipeline enters the filter bed after sedimentation by the coagulation and sedimentation device.
[0005] The PLC control system is equipped with a neural network calculation module. This module is used to read real-time data from the raw water monitoring system, the water to be filtered monitoring system, the filtered water monitoring system, and the filter bed monitoring system. It also automatically calculates the filter bed backwashing cycle threshold. When the PLC control system detects that the filter bed running time is greater than or equal to the filter bed backwashing cycle threshold, the PLC control system automatically triggers the backwashing system.
[0006] In a further technical solution, the neural network computing module stores data on the pH value of raw water, flow rate of raw water, turbidity of raw water, turbidity of water to be filtered, turbidity of filtered water, operating time of filter bed, liquid level data of filter bed, pressure difference of filter bed and opening degree of clear water valve of the waterworks for nearly one year.
[0007] In a further technical solution, the raw water monitoring system includes a raw water pH meter, a raw water flow meter, and a raw water turbidity meter, all of which are installed on the raw water pipeline.
[0008] In a further technical solution, the water to be filtered monitoring system includes a turbidity meter for the water to be filtered, which is installed at the outlet of the coagulation and sedimentation device. The turbidity meter is used to monitor the turbidity of the water to be filtered in real time and upload the data to the PLC control system.
[0009] In a further technical solution, the filtered water monitoring system includes a filtered water turbidity meter installed on the filter bed outlet pipe. The filtered water turbidity meter is used to monitor the turbidity of the filtered water in the filter bed in real time and upload the data to the PLC control system.
[0010] In a further technical solution, the filter monitoring system includes a filter level gauge, a differential pressure gauge, and a clear water valve opening sensor. A clear water valve is installed between the filter and the filter outlet pipe. The filter level gauge is used to monitor the filter level in real time, the differential pressure gauge is used to monitor the differential pressure value of the filter in real time, and the clear water valve opening sensor is installed at the clear water valve and is used to monitor the opening degree of the clear water valve in real time.
[0011] In a further technical solution, the backwashing system includes a blower and a backwash water pump, which are connected to the filter tank via pipelines. The backwashing system has air flushing mode, air-water mixed flushing mode and water flushing mode; In air-jet mode, the blower operates. In the air-water mixed flushing mode, the backwash water pump and blower operate simultaneously. In water flushing mode, the backwash pump operates.
[0012] Further technical solutions also include a central control system connected to the PLC control system. The central control system has a visual interface, which is used to display the real-time data monitored by the PLC control system and the calculated filter backwashing cycle threshold. The visual interface also has a filter backwashing cycle setting that can be switched between automatic and manual.
[0013] Further technical solutions also include a water return system connected to a PLC control system. The water return system is equipped with a water return tank, which is connected to the filter tank via a drain pipe. The drain pipe discharges the backwash water from the filter tank to the water return tank.
[0014] In a further technical solution, the water return system also includes a water return pump and a water return tank level gauge. The water return tank level gauge is used to monitor the water level in the water return tank in real time. The PLC control system is preset with a minimum water level threshold for the water return tank. When the water level in the water return tank is higher than or equal to the minimum water level threshold, the PLC control system triggers the water return pump to run. The water return pump returns the backwash water in the water return tank to the raw water pipeline.
[0015] The advantages of this invention compared to the prior art after adopting the above structure are: This invention uses a neural network computing module to read real-time data from the raw water monitoring system, the water to be filtered monitoring system, the filtered water monitoring system, and the filter bed monitoring system. It automatically calculates the filter bed backwashing cycle threshold. When the PLC control system detects that the filter bed's operating time is greater than or equal to the backwashing cycle threshold, it automatically triggers the backwashing system. This design allows for real-time output of results. The filter bed backwashing cycle threshold is no longer a preset fixed value, but a value calculated based on actual conditions, providing the optimal backwashing cycle for the filter bed. This solves the technical problem of poor filter bed performance due to excessively short or long backwashing cycles. Furthermore, this invention sets the triggering conditions for filter bed flushing from multiple dimensions, allowing for real-time adjustment of the backwashing cycle based on water quality and filter bed operating parameters, achieving automatic backwashing. It boasts a high degree of automation and reduces human error due to manual operation and subjective judgment, making it highly practical. Attached Figure Description
[0016] The present invention will be further described below with reference to the accompanying drawings and embodiments.
[0017] Figure 1 This is a schematic diagram of the structure of this utility model; Detailed Implementation
[0018] The following are merely preferred embodiments of the present invention and do not limit the scope of protection of the present invention.
[0019] like Figure 1 As shown, the present invention provides an automatic backwashing system for a filter bed in a waterworks, comprising a raw water pipeline 15, a filter bed 8, a filter bed outlet pipeline 16, a backwashing system 9, a coagulation and sedimentation device 17, a PLC control system 11, a raw water monitoring system located on the raw water pipeline 15, a water to be filtered monitoring system connected to the coagulation and sedimentation device 17, a filter bed monitoring system located on the filter bed 8, and a filtered water monitoring system located on the filter bed outlet pipeline 16. The PLC control system 11 is equipped with a neural network operation module 10.
[0020] In practical applications, the raw water from the raw water pipe 15 enters the filter tank 8 after sedimentation by the coagulation sedimentation device, and the filtered water from the filter tank 8 is discharged through the filter tank outlet pipe 16.
[0021] This invention uses a neural network computing module 10 to read real-time data from the raw water monitoring system, the water to be filtered monitoring system, the filtered water monitoring system, and the filter bed monitoring system, and automatically calculates the filter bed backwashing cycle threshold. When the PLC control system 11 detects that the filter bed running time is greater than or equal to the filter bed backwashing cycle threshold, the PLC control system 11 automatically triggers the backwashing system 9. This structural design can output results in real time. The filter bed backwashing cycle threshold is no longer a preset fixed value, but a value that can be calculated in real time, which can provide the optimal backwashing cycle for the filter bed 8 and solve the technical problem that the filter bed 8 has poor performance due to the backwashing cycle being too short or too long.
[0022] More specifically, the neural network operation module 10 is based on a neural network-generated operation model and stores data on raw water pH, raw water flow rate, raw water turbidity, turbidity of water to be filtered, turbidity of filtered water, filter bed operation time, filter bed liquid level data, filter bed pressure difference and clear water valve opening for the past year.
[0023] The computational model generates the built-in program of the PLC control system 11. The computational model collects various data from the waterworks over the past year, resulting in a more accurate built-in program. It uses multiple indicators such as raw water pH, raw water flow rate, raw water turbidity, turbidity of the water to be filtered, turbidity of the filtered water, filter bed running time, filter bed liquid level, filter bed pressure difference, and clear water valve opening as trigger conditions for filter bed 8 backwashing. It can adjust the filter bed backwashing cycle in real time according to the water quality and the operating parameters of filter bed 8, realizing automatic backwashing. It has a high degree of automation and can reduce human operation and subjective judgment errors, making it highly practical.
[0024] Specifically, the raw water monitoring system includes a raw water pH meter 0, a raw water flow meter 1, and a raw water turbidity meter 2, all of which are installed on the raw water pipeline 15. This invention, by setting up the raw water pH meter 0, can monitor the pH value of the raw water, solving the calculation error caused by the pH increase of the raw water during the high algae season, thus making the calculation results more accurate. The raw water turbidity meter 2 can monitor the turbidity of the raw water; using turbidimetric methods, it can achieve real-time online continuous monitoring with high accuracy.
[0025] More specifically, the water to be filtered monitoring system includes a turbidity meter 3 located at the outlet of the coagulation sedimentation device 17. The turbidity meter 3 is used to monitor the turbidity of the water to be filtered in real time and upload it to the PLC control system 11.
[0026] More specifically, the filtered water monitoring system includes a filtered water turbidity meter 7 installed on the filter bed outlet pipe 16. The filtered water turbidity meter 7 is used to monitor the turbidity of the filtered water in the filter bed in real time and upload the data to the PLC control system 11.
[0027] More specifically, the filter monitoring system includes a filter level gauge 4, a differential pressure gauge 5, and a clear water valve opening sensor 6. A clear water valve 18 is provided between the filter 8 and the filter outlet pipe 16. The filter level gauge 4 is used to monitor the liquid level of the filter 8 in real time, the differential pressure gauge 5 is used to monitor the differential pressure value of the filter 8 in real time, and the clear water valve opening sensor 6 is located at the clear water valve 18 and is used to monitor the opening degree of the clear water valve 18 in real time.
[0028] This invention uses the liquid level of filter tank 8, the pressure difference of filter tank 8, and the opening degree of the clear water valve as the judgment conditions for whether filter tank 8 is blocked. When the liquid level is greater than or equal to the blockage threshold corresponding to filter tank 8 calculated by neural network operation module 10, the clear water valve 18 is closed and the backwashing program is automatically triggered.
[0029] More specifically, the backwashing system 9 includes a blower 19 and a backwash water pump 20, which are connected to the filter tank 8 via pipes. The backwashing system 9 has air flushing mode, air-water mixed flushing mode and water flushing mode; In air-impact mode, blower 19 operates. In the air-water mixed flushing mode, the backwash water pump 20 and the blower 19 operate simultaneously. In water flushing mode, backwash pump 20 operates.
[0030] Specifically, the bottom of the filter tank 8 is provided with a filter sand layer, and the filter sand layer is covered with a backwash air pipe and a backwash water pipe. The backwash air pipe is connected to the blower 19, and the backwash water pipe is connected to the water pump.
[0031] More specifically, it also includes a central control system 12 connected to the PLC control system 11. The central control system 12 is equipped with a visual interface, which is used to display the real-time data monitored by the PLC control system 11 and the calculated filter backwashing cycle threshold. The visual interface is also equipped with a filter backwashing cycle setting that can be switched between automatic and manual, which is convenient for operators to observe and adjust the data in real time.
[0032] More specifically, it also includes a return water system 14 connected to the PLC control system 11. The return water system 14 is equipped with a return water tank, which is connected to the filter tank 8 through a drain pipe 13. The drain pipe 13 discharges the backwash water of the filter tank 8 to the return water tank.
[0033] More specifically, the return water system 14 also includes a return water pump 21 and a return water tank level gauge. The return water tank level gauge is used to monitor the liquid level in the return water tank in real time. The PLC control system 11 is preset with a minimum water level threshold for the return water tank. When the liquid level in the return water tank is higher than or equal to the minimum water level threshold, the PLC control system 11 triggers the return water pump 21 to run. The return water pump 21 returns the backwash water in the return water tank to the raw water pipe 15 through the drain pipe 13. At the same time, the backwash system 9 stops running. The return water system 9 only stops running when the liquid level in the return water tank is lower than the minimum water level threshold.
[0034] The minimum water level threshold of the return water tank can be preset to a fixed value by the PLC control system 11, or it can be set to a real-time value calculated by the neural network calculation module 10.
[0035] More specifically, the inlet of the recycled water tank is equipped with a pull-out filter screen to intercept larger impurities in the backwash water. More preferably, the filter screen is pull-out for easy cleaning.
[0036] The above description is only a preferred embodiment of this utility model. For those skilled in the art, there will be changes in the specific implementation method and application scope based on the idea of this utility model. The content of this specification should not be construed as a limitation of this utility model.
Claims
1. A filter automatic backwash system applied to a waterworks, comprising raw water pipeline (15), filter (8), filter effluent pipeline (16) and backwash system (9), characterized in that: It also includes a coagulation sedimentation device (17), a PLC control system (11), a raw water monitoring system installed in the raw water pipeline (15), a water to be filtered monitoring system installed in the coagulation sedimentation device (17), a filter monitoring system installed in the filter tank (8), and a filtered water monitoring system installed in the filter tank outlet pipeline (16). The raw water in the raw water pipeline (15) enters the filter tank (8) after sedimentation by the coagulation sedimentation device. The PLC control system (11) is equipped with a neural network operation module (10). The neural network operation module (10) is used to read the real-time data of the raw water monitoring system, the water to be filtered monitoring system, the filtered water monitoring system and the filter bed monitoring system, and automatically calculate the filter bed backwashing cycle threshold. When the PLC control system (11) detects that the filter bed running time is greater than or equal to the filter bed backwashing cycle threshold, the PLC control system (11) automatically triggers the backwashing system (9).
2. The automatic backwash system for filter tank applied to waterworks according to claim 1, characterized in that: The neural network operation module (10) stores the raw water pH value, raw water flow rate data, raw water turbidity, turbidity of water to be filtered, turbidity of filtered water, filter bed operation time, filter bed liquid level data, filter bed pressure difference and clear water valve opening of the waterworks for nearly one year.
3. The automatic backwash system for filter tank of waterworks according to claim 1, characterized in that: The raw water monitoring system includes a raw water pH meter (0), a raw water flow meter (1), and a raw water turbidity meter (2), all of which are installed on the raw water pipeline (15).
4. The automatic backwash system for filter tank of waterworks according to claim 1, characterized in that: The water to be filtered monitoring system includes a turbidity meter (3) installed at the outlet of the coagulation sedimentation device (17). The turbidity meter (3) is used to monitor the turbidity of the water to be filtered in real time and upload it to the PLC control system (11).
5. The automatic backwash system for filter tank of waterworks according to claim 3, characterized in that: The filtered water monitoring system includes a filtered water turbidity meter (7) installed on the filter bed outlet pipe (16). The filtered water turbidity meter (7) is used to monitor the turbidity of the filtered water in the filter bed in real time and upload it to the PLC control system (11).
6. The automatic backwash system for filter tank of waterworks according to claim 1, characterized in that: The filter monitoring system includes a filter level gauge (4), a differential pressure gauge (5), and a clear water valve opening sensor (6). A clear water valve (18) is provided between the filter (8) and the filter outlet pipe (16). The filter level gauge (4) is used to monitor the level of the filter (8) in real time. The differential pressure gauge (5) is used to monitor the differential pressure value of the filter (8) in real time. The clear water valve opening sensor (6) is located at the clear water valve (18) and is used to monitor the opening degree of the clear water valve (18) in real time.
7. The automatic backwash system for filter tank of waterworks according to claim 1, characterized in that: The backwashing system (9) includes a blower (19) and a backwash water pump (20), which are connected to the filter tank (8) via pipes. The backwashing system (9) has air flushing mode, air-water mixed flushing mode and water flushing mode. In air-rush mode, the blower (19) operates; In the air-water mixed flushing mode, the backwash water pump (20) and the blower (19) operate simultaneously; In water flushing mode, the backwash pump (20) operates.
8. The automatic backwash system for filter tank of waterworks according to claim 1, characterized in that: It also includes a central control system (12) connected to the PLC control system (11). The central control system (12) is equipped with a visual interface. The visual interface is used to display the real-time data monitored by the PLC control system (11) and the calculated filter backwashing cycle threshold. The visual interface is also equipped with a filter backwashing cycle setting that can be switched between automatic and manual.
9. The automatic backwash system for filter tank of waterworks according to claim 1, characterized in that: It also includes a return water system (14) connected to the PLC control system (11). The return water system (14) is equipped with a return water tank. The return water tank is connected to the filter tank (8) through a drain pipe (13). The drain pipe (13) discharges the backwash water of the filter tank (8) to the return water tank.
10. The automatic backwash system for filter tank of waterworks according to claim 9, characterized in that: The water return system (14) also includes a water return pump (21) and a water return tank level gauge. The water return tank level gauge is used to monitor the water level in the water return tank in real time. The PLC control system (11) has a preset minimum water level threshold for the water return tank. When the water level in the water return tank is higher than or equal to the minimum water level threshold, the PLC control system (11) triggers the water return pump (21) to run. The water return pump (21) returns the backwash water in the water return tank to the raw water pipeline (15).