CN112814113A - Method and system for intelligently controlling water quantity of drainage pipe network - Google Patents
Method and system for intelligently controlling water quantity of drainage pipe network Download PDFInfo
- Publication number
- CN112814113A CN112814113A CN201911125918.8A CN201911125918A CN112814113A CN 112814113 A CN112814113 A CN 112814113A CN 201911125918 A CN201911125918 A CN 201911125918A CN 112814113 A CN112814113 A CN 112814113A
- Authority
- CN
- China
- Prior art keywords
- water
- pipe network
- water level
- drainage
- monitoring device
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- E—FIXED CONSTRUCTIONS
- E03—WATER SUPPLY; SEWERAGE
- E03F—SEWERS; CESSPOOLS
- E03F3/00—Sewer pipe-line systems
- E03F3/02—Arrangement of sewer pipe-lines or pipe-line systems
-
- E—FIXED CONSTRUCTIONS
- E03—WATER SUPPLY; SEWERAGE
- E03F—SEWERS; CESSPOOLS
- E03F2201/00—Details, devices or methods not otherwise provided for
- E03F2201/20—Measuring flow in sewer systems
Landscapes
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Engineering & Computer Science (AREA)
- Hydrology & Water Resources (AREA)
- Public Health (AREA)
- Water Supply & Treatment (AREA)
- Sewage (AREA)
- Feedback Control In General (AREA)
Abstract
The invention discloses a method and a system for intelligently controlling water quantity of a drainage pipe network. The method comprises the following steps: and controlling the water drainage of a water suction pump at the tail end of the pipe network according to preset strategies according to the weather information, the tide information and the water level information of the pipe network which are monitored regularly or in real time. The system comprises: the system comprises a natural information monitoring device, a central intelligent control unit and a water pump; the central intelligent control unit regularly or real-timely monitors the natural information according to the natural information monitoring device and controls the water pump at the tail end of the pipe network to discharge water according to a preset strategy. In the invention, the central intelligent control unit can automatically make a control instruction of water drainage or water storage under different conditions, thereby achieving the optimal pipe network management effect.
Description
Technical Field
The invention relates to the field of water environments. The invention particularly relates to a method and a system for dynamically controlling the water quantity of a drainage pipe network through tide and weather conditions.
Background
Urban drainage facilities are indispensable important infrastructure of modern cities, wherein urban drainage pipe networks are the most important components of the urban drainage facilities, and comprise sewage discharge pipes and rainwater discharge pipes, wherein the rainwater discharge pipe networks are used for collecting rainfall and sending the rainfall to rivers, lakes and seas, so that the cities are prevented from flood disasters and simultaneously protect scarce water resources. The urban drainage pipe network is complex and diversified, and is in mutual connection, mutual influence and continuous change with climate, earth surface, underground, rivers, flood discharge systems and the like.
Most cities in China have basically built relatively complete drainage systems, but the operation and management of drainage pipe networks are relatively simple and extensive, and people have to deeply know the operation characteristics of the drainage pipe networks. This patent has designed one set of intelligent control system and has carried out the control of pipe network drainage to in when preventing city flood calamity, the rainwater is collected to high-efficient concentration, is favorable to the utilization of recycled water.
Disclosure of Invention
In order to solve the above-mentioned defects, the present invention aims to provide a method and a system for intelligently controlling the water flow of a drainage pipe network.
In order to achieve the aim, the method for intelligently controlling the water quantity of the drainage pipe network comprises the following steps: and controlling the water drainage of a water suction pump at the tail end of the pipe network according to preset strategies according to the weather information, the tide information and the water level information of the pipe network which are monitored regularly or in real time.
Preferably, the strategy is as follows:
1): if the water level of the pipe network exceeds the critical water level x set by a user, immediately starting a drainage pump to drain water until the water level of the pipe network is less than a water storage water level y;
2): when rainstorm is about to come, if the water level of the pipe network exceeds a set flood control water level x1 and is lower than a critical water level x, draining until the water level of the pipe network is lower than a water storage water level y;
3): before the initial rainwater forms runoff, stopping draining to enable pollutants in the rainwater to be precipitated in a pipe network, so that secondary pollution to rivers and lakes is avoided;
4) at flood tide, drainage should be performed.
Preferably, the method further comprises a central backtracking learning step:
1) collecting:
the control data is transmitted by the central intelligent control unit each time;
the controlled liquid level and water surface data of the pipe network;
2) effect comparison: comparing the two sets of collected data to judge whether the expected control target is reached;
3) and adjusting the specific strategy parameters according to the effect comparison result so as to obtain the optimal control strategy.
In order to achieve the purpose, the invention discloses a system for intelligently controlling the water quantity of a drainage pipe network, which comprises: the system comprises a natural information monitoring device, a central intelligent control unit and a water pump; the central intelligent control unit regularly or real-timely monitors the natural information according to the natural information monitoring device and controls the water pump at the tail end of the pipe network to discharge water according to a preset strategy.
Preferably, the natural information monitoring device is: the monitoring system comprises a weather information monitoring device, a tide information monitoring device and a pipe network water level information monitoring device.
Preferably, the intelligent control system further comprises a central backtracking learning unit for performing intelligent learning according to the result of the effect comparison so as to adjust specific strategy parameters in the central intelligent control unit to obtain an optimal control strategy.
The method of the invention can lead the central intelligent control unit to automatically make the control instruction of water drainage or water storage under different conditions, thereby achieving the optimized pipe network management effect.
Drawings
FIG. 1: system architecture diagram
FIG. 2: control system flow chart.
Detailed Description
As shown in fig. 1, the present invention involves ten part definitions:
1. a pipe network A: refers to a rain sewage drainage pipe network. The inside of the pipe network has a certain water level.
2. Pipe network horizontal plane B: the height of the water level inside the pipe network. The water accumulation can be calculated through the height.
3. River and lake seawater plane C: the water level of the river or sea outside the communication pipe network. Tidal changes, as well as changes in weather, affect the level of the river or lake seawater.
4. A water pump D: the water pump is used for pumping water in the pipe network into external rivers and lakes through the water pump.
5. And (4) a water retaining dam E: the position connected with the tail end of the pipe network and the external river and sea is arranged for preventing external water from flowing backwards to the inside or directly discharging the internal water. The primary purpose is to keep the water level of the pipe network with a certain liquid level without being influenced by the external water level.
6. Weather prediction device F: the method can monitor the local weather conditions, the temperature, the humidity, the rainfall and the like, and can also predict the local weather changes, whether the weather will rain or not, the rainfall and the like in 1-7 days in the future.
7. Tidal monitoring device G: monitoring changes in tide, and monitoring exterior river, lake and sea level height.
8. Monitoring the water level of a pipe network H: and monitoring the liquid level of the water level in the pipe network.
9. Central intelligent control unit I: through weather prediction, morning and evening tides monitoring, pipe network water level monitoring, in addition manual intervention sets up, the terminal pump jack of automatic control pipe network, if necessary carries out the drainage to the pipe network has bigger holding capacity can prevent urban waterlogging. Meanwhile, water is stored in the drought state, and the water level of the pipe network is kept.
10. Central backtracking learning unit J: the control data transmitted by the central intelligent control unit I and the pipe network liquid level and water surface data after collection and control are compared to judge whether the expected control target is achieved. When the data size is large, the optimal control strategy can be obtained through the experienced intelligent learning (machine learning).
The invention aims to enable the central intelligent control unit to automatically make a control instruction of water drainage or water storage under different conditions, thereby achieving the optimal pipe network management effect.
The central intelligent control unit I inquires weather monitoring devices F, tide monitoring devices G and pipe network water level monitoring H at regular time. And corresponding control is made according to the strategy.
Strategy 1: and if the water level of the pipe network exceeds the critical water level x set by the user, immediately starting the drainage pump to drain. Until the water level of the pipe network is less than the water storage level y.
Strategy 2: when rainstorm is about to come, if the water level of the pipe network is too high and exceeds the set flood control water level x1, the water discharge amount can be immediately increased even if the critical water level x is not reached, and the pipe network has more capacity to receive rainwater; until the water level of the pipe network is less than the water storage level y.
Strategy 3: before the initial rainwater forms runoff, pollutants in air and on the ground are often washed, flushed and conveyed, the concentration of the pollutants in the initial rainwater is seriously exceeded, the direct discharge can cause serious pollution to a receiving water body, and the drainage is stopped at this time to ensure that the pollutants in the rainwater are precipitated in a pipe network, so that secondary pollution to rivers and lakes is avoided;
strategy 4: in order to prevent the flood from flowing backward at the time of flood tide, drainage should be performed at this time.
The system is not limited to the 4 strategies, and a user can set multiple strategies according to actual needs on site when using the system.
The system is also provided with a central backtracking learning unit J, so that the system can not only carry out automatic control under the set strategy, but also carry out backtracking learning on the control effect after each control, and carry out experienced intelligent learning (machine learning) and analysis through the central backtracking learning unit J, so that parameter adjustment and optimization can be carried out on the specific strategy, the next control is more accurate, and the optimal effect is achieved.
Examples
The circulation flow is shown in FIG. 2
a) The normal water level of the drainage pipe network is set to be z, the immediate drainage water level is x, the water storage water level is y, and the flood control water level x1 when rainstorm comes, wherein x > z > x1> y.
b) The central intelligent unit I can inquire the water level monitoring H of a pipe network regularly, and if H is found to be larger than x, the water pump D can be started immediately to drain water. If H < y is found, the water pump is turned off and the water storage operation is carried out.
c) The central intelligent unit I will periodically query the weather prediction unit F and the tidal monitoring unit G.
d) If the situation that the rainwater is raining and the water suction pump works is found, the water suction pump is stopped working for 2 hours as long as H < x, and the water suction pump is started after the rainwater is precipitated.
e) If a future rainstorm is predicted and the current water level H is found to be greater than flood protection level x1, pump D is immediately activated to drain until H < y.
f) During the drainage process, if flood tide is found. The drainage is stopped, the drainage is increased in the time, the drainage is performed when the tide is faded, but the drainage is performed as soon as possible with the exception of the case that the rainstorm comes soon.
g) After a complete process is executed, the central intelligent unit I transmits data (including acquired data and control conditions) of a control process to the central backtracking learning unit J, the central backtracking learning unit J observes the conditions of liquid level control in the subsequent 2 hours, scores the control result between 0 and 10, and stores the scoring value and the transmitted data together. When the stored data is enough (more than 1 ten thousand pieces), the central backtracking learning unit can perform experienced intelligent learning (machine learning) on the stored mass data.
h) Through experienced intelligent learning (machine learning), the central backtracking learning unit J can derive which control parameters and control commands and times are good for the end result and which need to be improved. And transmitting the data to a central intelligent unit I for parameter fine adjustment and improvement.
This patent is given above as an example, but not limited to this example. Also, this patent gives a method. But not how it is implemented.
Claims (6)
1. A method for intelligently controlling the water quantity of a drainage pipe network is characterized by comprising the following steps: and controlling the water drainage of a water suction pump at the tail end of the pipe network according to preset strategies according to the weather information, the tide information and the water level information of the pipe network which are monitored regularly or in real time.
2. The method for intelligently controlling the water flow of a drainage pipe network according to claim 1, wherein the strategy is as follows:
1): if the water level of the pipe network exceeds the critical water level x set by a user, immediately starting a drainage pump to drain water until the water level of the pipe network is less than a water storage water level y;
2): when rainstorm is about to come, if the water level of the pipe network exceeds a set flood control water level x1 and is lower than a critical water level x, draining until the water level of the pipe network is lower than a water storage water level y;
3): before the initial rainwater forms runoff, stopping draining to enable pollutants in the rainwater to be precipitated in a pipe network, so that secondary pollution to rivers and lakes is avoided;
4) at flood tide, drainage should be performed.
3. The method for intelligently controlling the water flow of a drainage pipe network according to claim 1, further comprising the step of central backtracking learning:
1) collecting:
the control data is transmitted by the central intelligent control unit each time;
the controlled liquid level and water surface data of the pipe network;
2) effect comparison: comparing the two sets of collected data to judge whether the expected control target is reached;
3) and intelligently learning according to the effect comparison result so as to adjust the specific strategy parameters to obtain the optimal control strategy.
4. The utility model provides a system for intelligent control drainpipe network water yield, its characterized in that, the system include: the system comprises a natural information monitoring device, a central intelligent control unit and a water pump; the central intelligent control unit regularly or real-timely monitors the natural information according to the natural information monitoring device and controls the water pump at the tail end of the pipe network to discharge water according to a preset strategy.
5. The system for intelligently controlling the water flow of a drainage pipe network according to claim 1, wherein the natural information monitoring device is: the monitoring system comprises a weather information monitoring device, a tide information monitoring device and a pipe network water level information monitoring device.
6. The system for intelligently controlling the water flow of a drainage pipe network according to claim 1, further comprising a central backtracking learning unit for performing intelligent learning according to the result of the effect comparison so as to adjust specific strategy parameters in the central intelligent control unit to obtain an optimal control strategy.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911125918.8A CN112814113A (en) | 2019-11-15 | 2019-11-15 | Method and system for intelligently controlling water quantity of drainage pipe network |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911125918.8A CN112814113A (en) | 2019-11-15 | 2019-11-15 | Method and system for intelligently controlling water quantity of drainage pipe network |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112814113A true CN112814113A (en) | 2021-05-18 |
Family
ID=75852557
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911125918.8A Pending CN112814113A (en) | 2019-11-15 | 2019-11-15 | Method and system for intelligently controlling water quantity of drainage pipe network |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112814113A (en) |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105155657A (en) * | 2015-09-29 | 2015-12-16 | 国网浙江临海市供电公司 | Drainage system |
| CN205193543U (en) * | 2015-10-29 | 2016-04-27 | 上海水顿智能科技有限公司 | Intelligence drainage dispatch system |
| CN106395938A (en) * | 2016-11-30 | 2017-02-15 | 中冶华天工程技术有限公司 | Storm sewage treatment process and system for old area of city |
| CN108316445A (en) * | 2017-12-26 | 2018-07-24 | 福建工程学院 | A kind of road draining device and its water discharge method |
| CN109208731A (en) * | 2018-10-18 | 2019-01-15 | 宁波点溪环保科技有限公司 | A kind of dirty intelligent part flow arrangement of pipe network rain |
| CN109577449A (en) * | 2018-12-03 | 2019-04-05 | 肖修军 | A kind of municipal drainage network monitoring control system based on big data |
-
2019
- 2019-11-15 CN CN201911125918.8A patent/CN112814113A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105155657A (en) * | 2015-09-29 | 2015-12-16 | 国网浙江临海市供电公司 | Drainage system |
| CN205193543U (en) * | 2015-10-29 | 2016-04-27 | 上海水顿智能科技有限公司 | Intelligence drainage dispatch system |
| CN106395938A (en) * | 2016-11-30 | 2017-02-15 | 中冶华天工程技术有限公司 | Storm sewage treatment process and system for old area of city |
| CN108316445A (en) * | 2017-12-26 | 2018-07-24 | 福建工程学院 | A kind of road draining device and its water discharge method |
| CN109208731A (en) * | 2018-10-18 | 2019-01-15 | 宁波点溪环保科技有限公司 | A kind of dirty intelligent part flow arrangement of pipe network rain |
| CN109577449A (en) * | 2018-12-03 | 2019-04-05 | 肖修军 | A kind of municipal drainage network monitoring control system based on big data |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105089101B (en) | A kind of greenery patches rainwater cyclic utilization system | |
| CN105178387A (en) | Intelligent control system for comprehensive utilization of rainwater and control method of intelligent control system | |
| CN204875932U (en) | Use multipurposely intelligence control system of rainwater | |
| CN102080647A (en) | Rain pump station monitoring system | |
| CN101864789A (en) | Volume type rain early-stage split-flow device | |
| CN111489052A (en) | Method for carrying out intercepting drainage scheduling by utilizing water quality and water quantity | |
| CN202227456U (en) | Rainwater collection and recycling system for environment-friendly transformer station | |
| CN114331186A (en) | Drainage plant network river intelligent scheduling method and system | |
| CN211395907U (en) | Road type integrated intelligent sewage intercepting well | |
| CN204703224U (en) | Lowly affect storm water man-agement intelligent control module | |
| CN112408524B (en) | High-load processing system, method, device and equipment for pipe network regulation and storage coupling water plant | |
| CN113089798A (en) | Cross-region rain and sewage interception scheduling system and method | |
| CN112709245A (en) | Intelligent control system and control method for drainage of constructional engineering | |
| CN111640284A (en) | Roof drainage wireless monitoring system and early warning method thereof | |
| CN112814113A (en) | Method and system for intelligently controlling water quantity of drainage pipe network | |
| CN215926232U (en) | Intelligent rainwater and sewage intercepting well | |
| CN212229793U (en) | Wireless monitoring system for roof drainage | |
| CN216405629U (en) | Water pollution monitoring control system based on internet | |
| CN210713116U (en) | Long-range intelligent building rain sewage reposition of redundant personnel system | |
| CN202065160U (en) | Monitoring system for rainwater pumping station | |
| CN208201983U (en) | A kind of roof rain water collecting utilizes system | |
| CN111424761A (en) | Improved airport rainwater management system | |
| CN112854399B (en) | Method and system for controlling community rain and sewage diversion | |
| AU2005100764A4 (en) | Method for storm water harvesting | |
| CN216405630U (en) | Intelligent quality-dividing and flow-dividing discharging device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20210518 |