CN112429836A - Subway station sewage treatment system - Google Patents
Subway station sewage treatment system Download PDFInfo
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- CN112429836A CN112429836A CN202011046898.8A CN202011046898A CN112429836A CN 112429836 A CN112429836 A CN 112429836A CN 202011046898 A CN202011046898 A CN 202011046898A CN 112429836 A CN112429836 A CN 112429836A
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- C—CHEMISTRY; METALLURGY
- C02—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F3/00—Biological treatment of water, waste water, or sewage
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- C—CHEMISTRY; METALLURGY
- C02—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F3/00—Biological treatment of water, waste water, or sewage
- C02F3/30—Aerobic and anaerobic processes
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- C—CHEMISTRY; METALLURGY
- C02—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F2209/00—Controlling or monitoring parameters in water treatment
- C02F2209/005—Processes using a programmable logic controller [PLC]
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- Activated Sludge Processes (AREA)
Abstract
The invention belongs to the field of sewage treatment, and particularly relates to a sewage treatment system for a subway station. The system comprises an integrated comprehensive treatment subsystem and an intelligent control subsystem. The integrated comprehensive treatment subsystem is provided with a backflow pipeline on the basis of an MBR water treatment process, realizes the closed loop of a sewage treatment pipeline and is used for resisting the fluctuation of incoming water. The intelligent control subsystem is provided with a sensor module for acquiring real-time data of a water system; setting a prediction control module to establish a sewage treatment system model and giving an effective control strategy; the PLC control module is arranged to drive a water pump, a fan and a valve which are arranged in the system in real time, so that sewage treatment and recycling are realized. The whole system has the functions of automatic acquisition of water system state data, automatic operation control of equipment, intelligent conversion of a water treatment mode and the like, can realize stable work and effluent standard of a sewage treatment device under the condition of large fluctuation of sewage quantity of a subway station, and simultaneously solves the problem that an MBR membrane is easy to block through water level control and adjustment.
Description
The technical field is as follows:
the invention belongs to the field of sewage treatment, and particularly relates to a sewage treatment system for a subway station.
Background art:
with the continuous development of rail transit technology, more and more cities are built or subways are being built. People flow in subway stations, and a small amount of domestic sewage is generated in subway stations and auxiliary buildings thereof. However, some subway stations are in downtown areas, and the connection engineering for connecting municipal sewage pipes is difficult to construct and high in investment cost; and a part of stations are far away, are temporarily not in the collection and treatment range of urban domestic sewage plants, and do not have the condition of connecting municipal sewage pipelines. Therefore, the sewage treatment system of the subway station is urgently needed to be researched, the difficult problems of standard treatment and discharge of domestic sewage of the subway station can be effectively solved, the treated reclaimed water can serve the requirements of station production and domestic miscellaneous water, and the dual aims of zero sewage discharge and water resource recycling are realized.
In the current treatment system, a Membrane-biological reactor (MBR) is a novel high-efficiency sewage treatment process, and the MBR process has the characteristics of high pollutant removal rate, good effluent quality, capability of greatly removing bacteria and viruses, small occupied area and the like, so that the MBR process is particularly suitable for the sewage treatment requirement of subway stations. However, at present, MBR membranes mainly employ hollow fiber membranes, and membrane separation modules are installed in a membrane separation tank of a sewage treatment system in a submerged manner, so that membrane blockage is easily caused. Once blocked, the normal operation of the whole set of sewage treatment equipment is influenced, and the effluent cannot reach the standard in serious cases, so that secondary pollution is caused. In order to prevent blockage, the machine has to be stopped regularly, and the cleaning by liquid medicine is time-consuming and labor-consuming, and influences production.
According to the difference of the positions and time periods of the subway stations, the drainage quantity of sewage can be greatly different. Some subway stations are on holidays or in some special periods, because the flow of people is rare, the water discharge quantity is constant at a lower level in a certain period, and other stations may show the opposite trend. The water displacement of some stations will show the variation trend of 'M type', and the high peak value can reach 4-5 times of the common time period. The prior sewage treatment system generally utilizes an adjusting tank to carry out homogeneous and uniform pretreatment on sewage, and when the water level reaches a preset height, the sewage automatically flows into the next stage for treatment without other measures for coping with water quantity fluctuation. When the water amount is too large, the hydraulic retention time is short, and the living reaction effect is influenced; when the water amount is too small, the system is almost stopped, the sewage becomes muddy and smelly, and simultaneously the MBR membrane is more easily blocked.
The invention content is as follows:
the purpose of the invention is as follows:
the invention provides a sewage treatment system suitable for a subway station, which aims to solve the problem that a membrane is easy to block in the conventional MBR sewage treatment process, and particularly solves the problem that the running stability of the sewage treatment system is influenced because the quantity of water coming from the station is greatly changed due to different positions and time periods.
The technical scheme is as follows:
the utility model provides a subway station sewage treatment system which characterized in that: the subway station sewage treatment system consists of an integrated comprehensive treatment subsystem and an intelligent control subsystem;
wherein: in the integrated comprehensive treatment subsystem, a grid is connected with an adjusting tank, the adjusting tank is connected with an AO tank through a pipeline, the AO tank is connected with an MBR membrane tank through a pipeline, and the MBR membrane tank is connected with a clean water tank through a pipeline; the MBR membrane tank is connected with the regulating tank through a supernatant liquid return pipeline and a sludge return pipeline; a water pump, a valve and a fan are connected in a pipeline of the integrated comprehensive treatment subsystem, and sensors are arranged in water systems of the regulating pond, the AO pond, the MBR membrane pond and the clean water pond;
the intelligent control subsystem mainly comprises a detection module, a prediction control module and a PLC control module; the detection module is connected with the prediction control module and the PLC control module through a circuit, the prediction control module is connected with the PLC control module through a circuit, and the PLC control module is connected with the detection module through a circuit; the PLC control module is connected with a water pump, a valve and a fan in the integrated comprehensive processing subsystem;
and a sensor of a detection module in the intelligent control subsystem is connected with the integrated comprehensive processing subsystem.
The AO pond in the integrated comprehensive treatment subsystem consists of an anoxic pond and an aerobic pond, wherein the input end of the anoxic pond is connected with the regulating pond through a pipeline, the output end of the anoxic pond is connected with the input end of the aerobic pond, and the output end of the aerobic pond is connected with the MBR membrane pond; the aerobic tank is also connected with a supernatant liquid return pipeline; the anaerobic tank is connected with a sludge return pipeline.
A flow meter is arranged at the water inlet of a grid and a regulating reservoir in the integrated comprehensive treatment subsystem, and an aeration stirring device, 1 common submersible lifting pump, 1 standby submersible lifting pump and 5 matched floating ball liquid level devices are arranged in the regulating reservoir.
The MBR membrane pool of the integrated comprehensive treatment subsystem is internally provided with an MBR membrane module, which comprises a common self-priming pump, a standby self-priming pump, 4 matched floating ball liquid level devices, 1 normally open electromagnetic valve, a normally closed electromagnetic valve, 1 set of dosing system and 1 fan; and a reflux pump and a flowmeter are arranged in a supernatant reflux pipeline and a sludge reflux pipeline which are connected with the MBR membrane tank and the regulating tank.
The operation method of the subway station sewage treatment system is characterized by comprising the following steps: the method is implemented according to the following steps:
a. the detection module collects water system state data and information through a sensor and sends the data and the information to the prediction control module and the PLC control module;
b. the prediction control module identifies the sewage treatment biochemical reaction process by using an intelligent machine online learning method according to the data acquired by the detection module, establishes a model and a control algorithm of the change of the water quantity of each station of the sewage system along with time, and further guides the PLC to control the starting and stopping of each valve, a water pump and other equipment and the sewage backflow;
c. the PLC control module converts the control planning of the intelligent control system into a switch control instruction, controls a water pump, a fan and a valve in the integrated comprehensive processing subsystem, and realizes the stable operation of the whole system.
The detection module of the intelligent control subsystem is composed of a liquid level meter, a flowmeter, a temperature sensor, a PH sensor and a dissolved oxygen sensor, and provides water system state data and information for the control module.
The advantages and effects are as follows:
the invention has the following advantages and beneficial effects:
1. the modeling and prediction of water quantity change are realized through intelligent control, the accurate control of the sewage treatment process is realized, and the effluent is ensured to reach the standard.
2. The stable work of the whole system under the condition that different subway stations dynamically fluctuate along with time and place is realized, the influence of water quantity change impact is overcome, and the problem that the stable operation of the whole sewage treatment system is greatly influenced by fluctuation of the water quantity of the sewage treatment system is solved.
3. According to the system operation time period (such as the peak time or underestimation time of incoming water), time, water quality and water quantity, the online cleaning period of the MBR membrane is determined, the water treatment circulation is closed-loop and accurately controlled, the water level of the membrane pool is dynamically adjusted and controlled, and the membrane blockage is prevented.
4. The intelligent water treatment system has the functions of automatic acquisition of water system state data, automatic operation control of equipment and intelligent conversion of a water treatment mode, does not need manual participation, and is simple and convenient to operate.
Description of the drawings:
FIG. 1 is a system block diagram of the present invention;
fig. 2 is a functional block diagram of the intelligent control subsystem of the present invention.
The specific implementation mode is as follows:
the invention provides a sewage treatment system suitable for a subway station, which adopts the following technical scheme for achieving the aim:
the utility model provides a sewage treatment system who is fit for subway station which characterized in that includes: an integrated comprehensive treatment pool and an intelligent control system.
1. The integrated comprehensive treatment subsystem mainly comprises an adjusting tank, an AO tank and an MBR membrane tank.
The adjusting tank is mainly used for adjusting water quantity and water quality and discharging excess sludge in the biochemical tank to the adjusting tank for anaerobic reduction treatment. An aeration stirring device is arranged in the device; 1, arranging 2 submersible lift pumps for 1 equipment; a flowmeter is arranged behind the grating and at the water inlet to detect the amount of the incoming water; 5 floating ball liquid level devices are matched, wherein 2 floating ball liquid level devices are used for alarming at high and low water levels, and the other 3 floating ball liquid level devices are used for detecting high, medium and low control water levels and controlling the starting and stopping of the water pump according to a water quantity predicting model changing along with seasons, time and station positions.
The AO pond is the core technology of the sewage treatment system, and comprises an anoxic section and an aerobic section, wherein the anoxic section mainly removes indexes such as ammonia nitrogen in sewage through nitrification and denitrification; the aerobic section is mainly used for removing organic matters in the sewage. The accessory equipment comprises 1 equipment 1, 2 sludge reflux pumps and 1 set of aeration system; and the return pipeline arranged to the regulating tank comprises a return pump and a flowmeter and is used for automatically supplementing the shortage of water in a special time period.
An MBR membrane module is arranged in the MBR membrane tank, and 1 device 1 and 2 self-priming pumps are arranged in the membrane tank; 4 floating ball liquid level devices are matched and used for controlling the starting, stopping and alarming of the membrane self-priming pump; 2 electromagnetic valves (1 long open and 1 normally closed) and 1 medicine adding system are provided; the device is provided with 1 fan and is used for periodically cleaning the MBR membrane on line; set up the return line to the equalizing basin, including backwash pump and flowmeter, form the closed loop in sewage treatment water route for the water yield of a whole set of sewage treatment plant of automatically regulated prevents that the water yield fluctuation is big and influences the problem that the water is stable, even makes membrane jam and equipment long-time shutdown.
2. The intelligent control subsystem mainly comprises a prediction control module, a PLC control module and a detection module.
The prediction control module identifies the biochemical reaction process of sewage treatment by using an intelligent machine online learning method according to the data collected by the detection module, establishes a model and a control algorithm of the change of the water quantity of each station of the sewage system along with time, and further guides the PLC to control the starting and stopping of each valve, a water pump and other equipment and the backflow of sewage.
The PLC control module converts the control plan of the intelligent control system into a switch control instruction, controls a water pump, a fan and a valve in the system and realizes the stable operation of the whole system;
the detection module is composed of a liquid level meter, a flowmeter, a temperature sensor, a PH sensor, a dissolved oxygen sensor and other sensors, and provides water system state data and information for the control module.
The invention is further described below with reference to the accompanying drawings:
a subway station sewage treatment system, comprising:
1, an integrated sewage comprehensive treatment subsystem, which comprises the following steps:
1) the regulating tank is provided with a high liquid level alarm, a low liquid level alarm and an ultrahigh liquid level alarm, and the floating ball liquid level meter controls the water pump to start and stop. According to the prediction model, selecting a high liquid level or a second high liquid level to start the water pump in a water quantity peak or trough time period; stopping the water pump at a second lower level or a lower level; and when the system detects the ultrahigh liquid level, the system gives an audible and visual buzzing alarm. And simultaneously, stopping the water pump when the liquid level of the MBR membrane tank is high.
2) And the A/O pool controls sludge backflow and supernatant backflow according to the water quality and water quantity according to the optimal hydraulic retention time and water level value designed by the intelligent control subsystem.
3) The MBR membrane tank is provided with a high liquid level, a low liquid level, an ultrahigh liquid level alarm and an ultralow liquid level alarm. And starting the MBR water making program at a high liquid level, and stopping the MBR water making program at a low liquid level. According to the prediction control instruction of the intelligent control subsystem, a certain amount of sewage is reserved to flow back to the regulating tank, the water quantity of the water wave valley area is supplemented, the internal circulation of sewage treatment is realized, and the water quality deterioration and membrane blockage caused by long-term non-operation of equipment are avoided.
2, an intelligent control subsystem, comprising the steps of:
1) the prediction control module identifies the biochemical reaction process of sewage treatment by using a deep neural network learning method according to the data collected by the detection module, establishes a model and a control algorithm of the change of the water quantity of each station of the sewage system along with time, and further guides the PLC to control the starting and stopping of each valve, a water pump and other equipment and the backflow of sewage. The method specifically comprises the following steps:
a) the water level and flow data detected by the sensor are used as training data, training is carried out along with a deep neural network, and a water system operation model is constructed;
b) dividing a peak area, a flat peak area and a trough area of the sewage amount in one year according to the system model;
c) respectively calculating effective hydraulic retention time and effluent flow in a peak area, a peak leveling area and a trough area;
d) respectively calculating the sludge reflux amount of the A/O tank and the MBR membrane tank in a peak area, a peak leveling area and a trough area; and calculating the supernatant liquid reflux amount of the A/O tank and the MBR membrane tank in the trough area.
e) And according to the calculation results of c) and d), constructing a standard water level/time table as reference input of PLC control, and triggering the PLC to control the opening and closing of the valve and the starting and stopping of the water pump by taking the water level data of the sensor detected in real time as feedback quantity so as to realize the closed-loop control of the water treatment system.
2) The PLC control module converts the control plan of the intelligent control system into a switch control instruction, and controls a water pump, a fan, a valve and the like in the system. The method specifically comprises the following steps:
a) and (3) the PLC receives the instruction of the prediction control module according to the implementation step shown in the step (1) and controls each valve and each water pump by combining the information of the sensor.
b) And controlling the reflux amount of the supernatant of the A/O tank and the MBR membrane tank according to the prediction control result, and ensuring the stable work of the system.
3) The detection module is composed of a liquid level meter, a flow meter, a temperature sensor, a PH sensor, a dissolved oxygen sensor and other sensors and provides water system state data and information for the prediction control module and the PLC control module. The method specifically comprises the following steps:
a) the liquid level meter collects data at any time and provides signals for the control of the PLC system;
b) sending the acquired data to a prediction control module in an hour period to provide data for system modeling and control;
c) the flow meter monitors water flow at an inlet and an outlet in real time and periodically sends data to the predictive control module;
d) the temperature sensor, the PH sensor, the dissolved oxygen sensor and other sensors sample regularly and send data to the prediction control module to provide reference for decision making.
(3) Under the effect of the intelligent control subsystem, the integrated comprehensive treatment subsystem realizes automatic acquisition of water system state data, automatic operation control of equipment and intelligent conversion of a water treatment mode, does not need manual participation, realizes stable work and effluent standard of a sewage treatment device, and simultaneously solves the problem that an MBR membrane is easy to block through water level control and adjustment.
Claims (6)
1. The utility model provides a subway station sewage treatment system which characterized in that: the subway station sewage treatment system consists of an integrated comprehensive treatment subsystem and an intelligent control subsystem;
wherein: in the integrated comprehensive treatment subsystem, a grid is connected with an adjusting tank, the adjusting tank is connected with an AO tank through a pipeline, the AO tank is connected with an MBR membrane tank through a pipeline, and the MBR membrane tank is connected with a clean water tank through a pipeline; the MBR membrane tank is connected with the regulating tank through a supernatant liquid return pipeline and a sludge return pipeline; a water pump, a valve and a fan are connected in a pipeline of the integrated comprehensive treatment subsystem, and sensors are arranged in water systems of the regulating pond, the AO pond, the MBR membrane pond and the clean water pond;
the intelligent control subsystem mainly comprises a detection module, a prediction control module and a PLC control module; the detection module is connected with the prediction control module and the PLC control module through a circuit, the prediction control module is connected with the PLC control module through a circuit, and the PLC control module is connected with the detection module through a circuit; the PLC control module is connected with a water pump, a valve and a fan in the integrated comprehensive processing subsystem;
and a sensor of a detection module in the intelligent control subsystem is connected with the integrated comprehensive processing subsystem.
2. The subway station sewage treatment system of claim 1, wherein: the AO pond in the integrated comprehensive treatment subsystem consists of an anoxic pond and an aerobic pond, wherein the input end of the anoxic pond is connected with the regulating pond through a pipeline, the output end of the anoxic pond is connected with the input end of the aerobic pond, and the output end of the aerobic pond is connected with the MBR membrane pond; the aerobic tank is also connected with a supernatant liquid return pipeline; the anaerobic tank is connected with a sludge return pipeline.
3. The subway station sewage treatment system of claim 1, wherein: a flow meter is arranged at the water inlet of a grid and a regulating reservoir in the integrated comprehensive treatment subsystem, and an aeration stirring device, 1 common submersible lifting pump, 1 standby submersible lifting pump and 5 matched floating ball liquid level devices are arranged in the regulating reservoir.
4. The subway station sewage treatment system of claim 1, wherein: the MBR membrane pool of the integrated comprehensive treatment subsystem is internally provided with an MBR membrane module, which comprises a common self-priming pump, a standby self-priming pump, 4 matched floating ball liquid level devices, 1 normally open electromagnetic valve, a normally closed electromagnetic valve, 1 set of dosing system and 1 fan; and a reflux pump and a flowmeter are arranged in a supernatant reflux pipeline and a sludge reflux pipeline which are connected with the MBR membrane tank and the regulating tank.
5. An operating method of a sewage treatment system for a subway station as claimed in claim 1, characterized in that: the method is implemented according to the following steps:
a. the detection module collects water system state data and information through a sensor and sends the data and the information to the prediction control module and the PLC control module;
b. the prediction control module identifies the sewage treatment biochemical reaction process by using an intelligent machine online learning method according to the data acquired by the detection module, establishes a model and a control algorithm of the change of the water quantity of each station of the sewage system along with time, and further guides the PLC to control the starting and stopping of each valve, a water pump and other equipment and the sewage backflow;
c. the PLC control module converts the control planning of the intelligent control system into a switch control instruction, controls a water pump, a fan and a valve in the integrated comprehensive processing subsystem, and realizes the stable operation of the whole system.
6. The subway station sewage treatment system of claim 5, wherein: the detection module of the intelligent control subsystem is composed of a liquid level meter, a flowmeter, a temperature sensor, a PH sensor and a dissolved oxygen sensor, and provides water system state data and information for the control module.
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| CN202011046898.8A CN112429836A (en) | 2020-09-29 | 2020-09-29 | Subway station sewage treatment system |
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| CN202011046898.8A CN112429836A (en) | 2020-09-29 | 2020-09-29 | Subway station sewage treatment system |
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN207738594U (en) * | 2017-12-11 | 2018-08-17 | 北京北排装备产业有限公司 | A kind of integrated apparatus of sewage disposal |
| CN208648879U (en) * | 2018-06-26 | 2019-03-26 | 宜兴市卓瑞环保设备有限公司 | Integrated MBR sewage-treatment plant |
| CN109879474A (en) * | 2019-02-28 | 2019-06-14 | 重庆工商大学 | Dynamic adjustment type sewage operating condition processing system |
| CN209065536U (en) * | 2018-10-19 | 2019-07-05 | 苏州苏科环保科技有限公司 | A kind of sewage MBR system of optimization aeration and backwash |
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2020
- 2020-09-29 CN CN202011046898.8A patent/CN112429836A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN207738594U (en) * | 2017-12-11 | 2018-08-17 | 北京北排装备产业有限公司 | A kind of integrated apparatus of sewage disposal |
| CN208648879U (en) * | 2018-06-26 | 2019-03-26 | 宜兴市卓瑞环保设备有限公司 | Integrated MBR sewage-treatment plant |
| CN209065536U (en) * | 2018-10-19 | 2019-07-05 | 苏州苏科环保科技有限公司 | A kind of sewage MBR system of optimization aeration and backwash |
| CN109879474A (en) * | 2019-02-28 | 2019-06-14 | 重庆工商大学 | Dynamic adjustment type sewage operating condition processing system |
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