A sewage treatment internet of things intelligent monitoring device
Patent Information
- Application Number
- CN202522336973.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Utility models(China)
- Current Assignee / Owner
- Filing Date
- 2025-11-04
- Publication Date
- 2026-10-09
- Estimated Expiration
- 2035-11-04
AI Technical Summary
[0004]本实用新型的目的在于，提出一种污水处理物联网智能化监测装置，以解决人工定期采样频率低、无法实时捕捉水质与工况的动态变化，且数据处理依赖人工、整理耗时耗力的技术问题
1、通过流量测量仪与分流控制器联动，可实时根据进水流量自动调节分流阀开度，避免主池超负荷运行导致的水质处理不达标，备用池的设置进一步提升了系统容错能力，减少突发流量冲击下的停机风险；超声波测量仪实时监测液位高度，配合排水泵实现自动液位控制，相比传统人工巡检液位，效率更高，避免池体溢水或空泵运行；伸缩杆可灵活调节多参数集成传感器的监测深度，适配不同液位下的水质采样需求，通过多参数集成传感器可以针对水体中各项数据进行检测；
Smart Images
Figure CN224840158U_ABST
Abstract
Description
Technical Field
[0001] This utility model relates to the field of environmental protection technology, specifically to an intelligent monitoring device for wastewater treatment via the Internet of Things. Background Technology
[0002] With the acceleration of urbanization, water scarcity and water pollution have become increasingly prominent issues, making the wastewater treatment industry a field of great interest. In wastewater treatment, MBR technology is widely praised for its high efficiency and operational stability. However, for wastewater treatment, how to efficiently manage and monitor equipment and improve operational efficiency have become major problems that need to be solved.
[0003] In the current wastewater treatment industry, traditional wastewater treatment monitoring is based on the core model of "manual periodic sampling + laboratory analysis". The sampling frequency is low (usually once a day or once every 4 hours), which cannot capture the dynamic changes in water quality and operating conditions in real time. At the same time, the data processing of traditional monitoring relies on manual recording and Excel spreadsheet statistics. Data processing is time-consuming and labor-intensive (a medium-sized wastewater treatment plant requires 2 employees to spend 4 hours a day processing monitoring data). Moreover, it cannot achieve linkage analysis of multi-source data (water quality, flow rate, equipment status). Utility Model Content
[0004] The purpose of this invention is to propose an intelligent monitoring device for wastewater treatment via the Internet of Things, in order to solve the technical problems of low frequency of manual periodic sampling, inability to capture dynamic changes in water quality and operating conditions in real time, and data processing relying on manual labor, which is time-consuming and labor-intensive.
[0005] To achieve the above objectives, the technical solution adopted by this utility model to solve its technical problem is as follows: a wastewater treatment IoT intelligent monitoring device, including a main tank; an inlet is provided at the top left end of the main tank, the inlet is connected to a wastewater pipe, a diversion valve is provided on the wastewater pipe, a diversion controller is provided at the top of the diversion valve, the diversion controller is located at the rear end of a flow meter, the flow meter monitors the inflow flow in the wastewater pipe in real time and transmits the data to the diversion controller, the left end of the diversion valve is connected to a backup tank through a wastewater pipe, several drainage pumps are provided at the bottom right side of the main tank and the backup tank, a baffle is provided at the top inner side of the rear end of the main tank and the backup tank, an ultrasonic measuring instrument is installed at the top of the baffle, the ultrasonic measuring instrument is used to monitor the liquid level height in the tank, a telescopic rod is provided at the center of the bottom of the main tank and the backup tank, a multi-parameter integrated sensor is provided at the top of the telescopic rod, a protective pipe is provided at the bottom of the telescopic rod, a shielded signal wire is laid in the protective pipe, one end is connected to the multi-parameter integrated sensor, and the other end is connected to the data processing box through a threaded connection.
[0006] Preferably, the data processing box has a fixed rod at the top, a solar panel at the front end of the fixed rod, an audible and visual alarm at the top of the fixed rod, a signal transmitter at the right side of the top of the data processing box, a power storage compartment at the bottom of the inside of the data processing box, the solar panel being electrically connected to the power storage compartment, a data storage module at the top of the power storage compartment, a data analysis module at the left side of the top of the data storage module, a control module at the right side of the data analysis module, and a network communication module at the right side of the control module. The network communication module receives remote control commands through the signal transmitter, and can control the start and stop of the drainage pump and the opening of the diversion valve. At the same time, it receives monitoring data from the flow meter and the multi-parameter integrated sensor in real time and transmits it to the data storage module. A monitoring probe is located at the rear end of the fixed rod, and the audible and visual alarm is connected to the monitoring probe by wiring.
[0007] Preferably, the data processing box has an opening and closing door at the front end, a touch panel at the top of the opening and closing door, an abnormal indicator light at the bottom of the opening and closing door, and a handle on the right side of the opening and closing door.
[0008] Preferably, the diversion controller, flow meter, and ultrasonic meter are connected to the network communication module via the LoRa wireless protocol, and the network communication module transmits data to the control module.
[0009] Preferably, the multi-parameter integrated sensor is connected to the data analysis module via a protective conduit, and the data analysis module uses a Kalman filter algorithm to preprocess the monitoring data.
[0010] Preferably, the touch panel and the abnormal indicator light are connected to the control module. The parameter setting instructions of the touch panel are transmitted to the control module. After the control module executes the instructions, it feeds back the status information to the touch panel display. When the control module detects an abnormality, it outputs a signal to trigger the abnormal indicator light to light up.
[0011] Compared with the prior art, the present invention has the following beneficial effects: 1. By linking the flow meter with the diversion controller, the opening of the diversion valve can be automatically adjusted in real time according to the influent flow rate, avoiding substandard water quality treatment caused by overloading of the main tank. The setting of the backup tank further enhances the system's fault tolerance and reduces the risk of shutdown under sudden flow shocks. The ultrasonic meter monitors the liquid level in real time and works with the drainage pump to achieve automatic liquid level control, which is more efficient than traditional manual liquid level inspection and avoids tank overflow or empty pump operation. The telescopic rod can flexibly adjust the monitoring depth of the multi-parameter integrated sensor to adapt to the water quality sampling needs at different liquid levels. The multi-parameter integrated sensor can detect various data in the water. 2. Remote control and data transmission are achieved through the network communication module and signal transmitter. Staff can start and stop the equipment and adjust parameters without on-site operation. The data storage module can store nearly one year of monitoring data, which is convenient for subsequent water quality trend analysis and environmental compliance traceability. Compared with traditional paper records or local Excel storage, data query efficiency is improved and the risk of data loss or tampering is avoided. The sound and light alarm is linked with the monitoring probe. When an anomaly occurs, the alarm and recording can be triggered simultaneously. Compared with the traditional method of relying solely on manual detection of anomalies, the efficiency is improved. The fault type can be intuitively distinguished through the anomaly indicator light. The design of the opening and closing door and handle facilitates the inspection and replacement of the internal modules of the data processing box. Attached Figure Description
[0012] Figure 1 This is a front view of the main structure of this utility model; Figure 2 This is a schematic diagram of the rear of part of the main structure of this utility model; Figure 3 This is a front sectional view of the data processing box in this utility model; Figure 4 This is a three-dimensional schematic diagram of a portion of the structure of this utility model.
[0013] In the diagram: 1. Main tank; 11. Inlet; 12. Sewage pipe; 13. Diversion valve; 14. Diversion controller; 15. Flow meter; 16. Backup tank; 17. Drainage pump; 18. Baffle; 19. Ultrasonic measuring instrument; 110. Telescopic rod; 111. Multi-parameter integrated sensor; 112. Protective pipe; 2. Data processing box; 21. Fixing rod; 22. Solar panel; 23. Audible and visual alarm; 24. Signal transmitter; 25. Energy storage compartment; 26. Data storage module; 27. Data analysis module; 28. Control module; 29. Network communication module; 210. Monitoring probe; 31. Opening and closing door; 32. Touch panel; 33. Abnormal indicator light; 34. Handle. Detailed Implementation
[0014] The technical solutions of the present utility model will be clearly and completely described below with reference to the accompanying drawings of the embodiments. Obviously, the described embodiments are only some embodiments of the present utility model, and not all embodiments. Based on the embodiments of the present utility model, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present utility model.
[0015] See Figure 1-4This embodiment proposes an intelligent monitoring device for wastewater treatment via the Internet of Things, comprising a main tank 1. An inlet 11 is located at the top left end of the main tank 1, connected to a wastewater pipe 12. A diversion valve 13 is mounted on the wastewater pipe 12, with a diversion controller 14 at its top. The diversion controller 14 is located at the rear end of a flow meter 15, which monitors the inflow rate in the wastewater pipe 12 in real time and transmits the data to the diversion controller 14. The left end of the diversion valve 13 is connected to a backup tank 16 via the wastewater pipe 12. Several drainage pumps 17 are located on the right side of the bottom of both the main tank 1 and the backup tank 16. A baffle 18 is located at the top inner rear end of both the main tank 1 and the backup tank 16, with an ultrasonic measuring instrument 19 mounted at its top. The ultrasonic measuring instrument 19 monitors the liquid level in the tank. A telescopic rod 110 is located at the center of the bottom end. A multi-parameter integrated sensor 111 is located at the top of the telescopic rod 110. A protective pipe 112 is located at the bottom end of the telescopic rod 110. A shielded signal wire is laid inside the protective pipe 112. One end of the wire is connected to the multi-parameter integrated sensor 111, and the other end is connected to the data processing box 2 via a threaded connection. The flow meter 15 is linked with the diversion controller 14 to respond to fluctuations in the influent flow rate in real time, avoiding overloading of the main tank 1 and causing the water quality to fail to meet standards. The backup tank 16 improves the system's fault tolerance by 50% and reduces the risk of sudden shutdown. The ultrasonic measuring instrument 19 works with the drainage pump 17 to achieve automatic liquid level control, which improves the response speed compared to manual inspection and prevents the tank from overflowing or the pump from running dry. The telescopic rod 110 can flexibly adjust the sensor depth to adapt to different liquid level monitoring needs.
[0016] This invention enables remote control through the network communication module 29 and signal transmitter 24. Staff can start / stop equipment and adjust parameters without on-site operation, significantly reducing maintenance response time and labor costs. The data storage module 26 can store 1-5 years of monitoring data, supporting historical trend queries and environmental compliance traceability. Compared to traditional paper records or local Excel storage, data retrieval efficiency is improved, and the risk of data loss or tampering is avoided. The audible and visual alarm 23 is linked with the monitoring probe 210, simultaneously triggering audible and visual alarms and recording in case of anomalies. This improves fault location and accountability, reducing the risk of environmental penalties due to untimely handling of anomalies. The monitoring probe 210 can also achieve real-time monitoring of the surrounding environment of the pool, preventing human damage or illegal discharge.
[0017] The working principle of this utility model is as follows: Sewage enters the sewage pipe 12 through the inlet 11. The flow meter 15 collects the flow data in real time and transmits it to the network communication module 29 via the LoRa wireless protocol, and then feeds it back to the control module 28. If the flow exceeds the preset threshold, the control module 28 instructs the diversion controller 14 to adjust the opening of the diversion valve 13, diverting part of the sewage into the backup tank 16. The ultrasonic measuring instrument 19 in the main tank 1 and the backup tank 16 monitors the liquid level, and the data is transmitted to the control module 28. When the liquid level exceeds the limit, the drainage pump 17 is automatically triggered to start and stop. The telescopic rod 110 drives the multi-parameter integrated sensor 111 to collect water quality data, which is then protected. The shielded signal line inside pipe 112 transmits data to the data analysis module 27. After preprocessing by the Kalman filter algorithm, the control module 28 determines whether the standard is exceeded. If the standard is exceeded, the sound and light alarm 23 and the monitoring probe 210 are triggered to alarm and record. Staff can set parameters and view data through the touch panel 32 or remote APP. The abnormal indicator light 33 helps to quickly locate the fault. The solar panel 22 and the energy storage bin 25 in the data processing box 2 provide stable power supply. The data storage module 26 realizes full-process data traceability, and finally forms a closed-loop working mechanism of "real-time monitoring - intelligent analysis - automatic control - abnormal early warning - remote operation and maintenance".
[0018] The contents not described in detail in this specification are existing technologies known to those skilled in the art.
[0019] Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or make equivalent substitutions for some of the technical features. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.
Claims
1. A wastewater treatment IoT intelligent monitoring device, comprising a main tank (1), characterized in that: The main tank (1) is provided with an inlet (11) at the top left end. The inlet (11) is connected to the sewage pipe (12). The sewage pipe (12) is provided with a diversion valve (13). The top of the diversion valve (13) is provided with a diversion controller (14). The diversion controller (14) is located at the rear end of the flow meter (15). The flow meter (15) monitors the inflow flow in the sewage pipe (12) in real time and transmits the data to the diversion controller (14). The left end of the diversion valve (13) is connected to the backup tank (16) through the sewage pipe (12). Several drainage pumps (17) are provided on the right side of the bottom of the main tank (1) and the backup tank (16). The main pool (1) and the backup pool (16) are provided with baffles (18) on the inner top of the rear end. An ultrasonic measuring instrument (19) is installed on the top of the baffle (18). The ultrasonic measuring instrument (19) is used to monitor the liquid level in the pool. The main pool (1) and the backup pool (16) are provided with telescopic rods (110) at the bottom center. The telescopic rods (110) are provided with multi-parameter integrated sensors (111) at the top. The telescopic rods (110) are provided with protective pipes (112) at the bottom. Shielded signal lines are laid in the protective pipes (112). One end is connected to the multi-parameter integrated sensors (111), and the other end is connected to the data processing box (2) by a threaded connection.
2. The intelligent monitoring device for wastewater treatment via the Internet of Things according to claim 1, characterized in that: The data processing box (2) has a fixed rod (21) at the top, a solar panel (22) at the front end of the fixed rod (21), an audible and visual alarm (23) at the top of the fixed rod (21), a signal transmitter (24) on the right side of the top of the data processing box (2), a power storage compartment (25) at the bottom of the inside of the data processing box (2), the solar panel (22) and the power storage compartment (25) are electrically connected, a data storage module (26) at the top of the power storage compartment (25), and a data analysis module (27) on the left side of the top of the data storage module (26). The analysis module (27) is equipped with a control module (28) on the right side. The control module (28) is equipped with a network communication module (29) on the right side. The network communication module (29) receives remote control commands through the signal transmitter (24) and can control the start and stop of the drainage pump (17) and the opening of the diversion valve (13). At the same time, it receives the monitoring data of the flow meter (15) and the multi-parameter integrated sensor (111) in real time and transmits them to the data storage module (26). The fixed rod (21) is equipped with a monitoring probe (210) at the rear end. The sound and light alarm (23) is connected to the monitoring probe (210) by line.
3. The intelligent monitoring device for wastewater treatment via the Internet of Things according to claim 2, characterized in that: The data processing box (2) has an opening and closing door (31) at the front end, a touch panel (32) at the top of the opening and closing door (31), an abnormal indicator light (33) at the bottom of the opening and closing door (31), and a handle (34) on the right side of the opening and closing door (31).
4. The intelligent monitoring device for wastewater treatment via the Internet of Things according to claim 2, characterized in that: The diversion controller (14), flow meter (15) and ultrasonic meter (19) are connected to the network communication module (29) via the LoRa wireless protocol, and the network communication module (29) transmits data to the control module (28).
5. The intelligent monitoring device for wastewater treatment via the Internet of Things according to claim 2, characterized in that: The multi-parameter integrated sensor (111) is connected to the data analysis module (27) via a protective conduit (112). The data analysis module (27) uses a Kalman filter algorithm to preprocess the monitoring data.
6. The intelligent monitoring device for wastewater treatment via the Internet of Things according to claim 3, characterized in that: The touch panel (32) and the abnormal indicator light (33) are connected to the control module (28). The parameter setting instructions of the touch panel (32) are transmitted to the control module (28). After the control module (28) executes the instructions, it feeds back the status information to the touch panel (32) for display. When the control module (28) detects an abnormality, it outputs a signal to trigger the abnormal indicator light (33) to light up.