CN111519730A - Intelligent water speed and water flow path regulating planning system - Google Patents
Intelligent water speed and water flow path regulating planning system Download PDFInfo
- Publication number
- CN111519730A CN111519730A CN202010260965.XA CN202010260965A CN111519730A CN 111519730 A CN111519730 A CN 111519730A CN 202010260965 A CN202010260965 A CN 202010260965A CN 111519730 A CN111519730 A CN 111519730A
- Authority
- CN
- China
- Prior art keywords
- drainage
- water pump
- rainfall
- water
- sensor
- 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
- E03F1/00—Methods, systems, or installations for draining-off sewage or storm water
-
- E—FIXED CONSTRUCTIONS
- E03—WATER SUPPLY; SEWERAGE
- E03F—SEWERS; CESSPOOLS
- E03F3/00—Sewer pipe-line systems
- E03F3/04—Pipes or fittings specially adapted to sewers
-
- E—FIXED CONSTRUCTIONS
- E03—WATER SUPPLY; SEWERAGE
- E03F—SEWERS; CESSPOOLS
- E03F5/00—Sewerage structures
- E03F5/22—Adaptations of pumping plants for lifting sewage
-
- E—FIXED CONSTRUCTIONS
- E03—WATER SUPPLY; SEWERAGE
- E03F—SEWERS; CESSPOOLS
- E03F7/00—Other installations or implements for operating sewer systems, e.g. for preventing or indicating stoppage; Emptying cesspools
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M3/00—Investigating fluid-tightness of structures
- G01M3/02—Investigating fluid-tightness of structures by using fluid or vacuum
- G01M3/26—Investigating fluid-tightness of structures by using fluid or vacuum by measuring rate of loss or gain of fluid, e.g. by pressure-responsive devices, by flow detectors
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01W—METEOROLOGY
- G01W1/00—Meteorology
- G01W1/14—Rainfall or precipitation gauges
Abstract
The invention provides an intelligent water speed and water flow path planning system, which specifically comprises: the system comprises a cloud end, a water pump sensor and a rainfall sensor; the water pump sensor and the rainfall sensor are connected with the cloud end in a wireless network mode; the water pump sensor is arranged on the drainage pumps of the sewer pipelines at all places in the city and is used for acquiring the drainage conditions of the sewer pipelines at all places in the city; the rainfall sensor is arranged on the road surface of each part of the city and used for acquiring the rainfall condition of each part of the city; the cloud end collects urban drainage conditions and rainfall conditions, and plans a route for discharging rainfall to rivers, so that rainwater deposition on urban road surfaces is avoided. The invention has the beneficial effects that: under the condition of not destroying the original urban drainage system, the rainwater in the city is timely drained, and the problem of water accumulation on the urban road in rainy days caused by the fault of the drainage system is solved.
Description
Technical Field
The invention relates to the field of urban planning, in particular to an intelligent water speed and water flow path regulating planning system.
Background
At present, the existing problems of urban drainage systems are more, water regulating methods such as wetland parks, water seepage floors and the like are only solved to a certain extent, when the precipitation is too large, the drainage quantity of the drainage system is not enough to discharge rainwater into rivers in time, the rainwater can be deposited and poured back into streets of cities, great troubles are caused to people, and parts of drainage pipelines and drainage channels cannot be used frequently due to various reasons and cause a certain traffic problem in rainy days, however, basic facilities such as a re-repair drainage system and the like can cause great burden to traffic and municipal budget, and the drainage and drainage problems are not necessarily solved completely. Therefore, the drainage system is inconvenient to adopt, a plurality of precipitation collecting sensors are arranged in a city, and a plurality of water flow monitoring sensors are also arranged in the drainage channel. The information is collected and transmitted to the Internet end to be analyzed and processed in an artificial intelligence mode, through analyzing precipitation of all parts of a city and current drainage capacity of each drainage pipeline, the artificial intelligence cloud end of the Internet plans water flow which must be achieved currently of each drainage pipeline, then the artificial intelligence cloud end of the Internet controls the speed regulating pump to regulate the flow speed of the section of the drainage pipeline which is in charge of the speed regulating pump to a correct value, through mutual matching of a plurality of water pumps, drainage capacity of a city drainage system or a certain serious waterlogging area is improved in a short time and reasonably, accumulated water in the city or the serious waterlogging area of the city can be drained to a city river in time, and traffic problems caused by the accumulated water are relieved.
Disclosure of Invention
In view of the above, the present invention provides an intelligent water speed and water flow path planning system.
The invention provides an intelligent water speed and water flow path planning system, which comprises:
the system comprises a cloud end, a water pump sensor and a rainfall sensor; the water pump sensor and the rainfall sensor are connected with the cloud end in a wireless network mode; the water pump sensors are respectively arranged in the drainage pumps of the sewer pipelines at various places in the city and are used for acquiring the drainage condition of the sewer pipelines at various places in the city; the rainfall sensors are respectively arranged at different positions of the urban ground surface and used for acquiring rainfall conditions at each position of the city; the cloud end collects the urban drainage condition and the rainfall condition through the water pump sensor and the rainfall sensor, and plans a route of the rainfall to the river.
Further, each water pump sensor comprises a camera mounted on the water pump and a flow velocity sensor mounted on the water pump; the camera is used for shooting a drainage image of the drainage channel and uploading the drainage image to the cloud end; the flow velocity sensor is used for detecting water pump drainage data and uploading the drainage data to the cloud end; the cloud end analyzes whether the drainage channel is blocked or not by adopting a feedforward convolutional neural network according to the drainage image; the cloud end analyzes the drainage data to obtain the drainage quantity of the drainage channel; the drainage conditions include whether the drain is clogged and the amount of drainage of the drain.
Furthermore, the rainfall sensor comprises a single chip microcomputer, a capacitance sensor, a water bearing device and a motor; the motor is connected to the water bearing device through a connecting rod; the bottom of the water bearing device is provided with the capacitance sensor; the capacitance sensor and the motor are both electrically connected with the single chip microcomputer; the single chip microcomputer is used for reading in the capacitance value of the capacitance sensor so as to calculate the water quantity; when the amount of water increases, the capacitance value of the capacitive sensor becomes large; when the capacitance value reaches a preset capacitance threshold value, rainwater in the water bearing device overflows, the motor rotates to drive the water bearing device to overturn and pour out water, and meanwhile the single chip microcomputer records the rotation times of the motor to determine the total precipitation amount.
Furthermore, the water pump drives the blades of the water pump to rotate by a motor so as to regulate water flow; the motor further comprises a control driving device, and the control driving device is also connected with the cloud end through a wireless network; the cloud end is communicated with the control driving device, and the rotating speed of the motor is adjusted to adjust the water discharge.
Furthermore, the water pump is also provided with a water pump travelling mechanism wheel which is used for moving under the condition that the drainage channel is blocked and dredging the drainage channel.
Further, the rainfall sensors are placed on the ground surface of the city every L m so as to cover the whole city; l is a preset value, and L > 0.
Furthermore, the drainage channel comprises a drainage channel on the ground surface and a drainage pipe under the ground; the drainage channel with the drain pipe all has a plurality ofly, constitutes urban drainage system jointly.
The high in the clouds is through water pump sensor with the rainfall sensor collects the drainage condition and the rainfall condition in city to plan the route that the rainfall was arranged to the river, specifically do:
s101: the cloud collects rainfall data detected by the rainfall sensor installed in the city in a wireless network mode, and summarizes the rainfall data to obtain the total rainfall of the city;
s102: the cloud collects the drainage conditions detected by the water pump sensors installed in the city in a wireless network mode, and analyzes the drainage conditions to obtain a drainage channel with faults, a drainage channel with normal drainage and the total drainage quantity of the current drainage channel of the city;
s103: the cloud end sends a control signal to a control driving device in a normally drained drainage channel according to the principle that the current total drainage is larger than the total rainfall of a city, and the rotating speed of a fan blade of a water pump is adjusted by increasing the rotating speed of a motor so as to increase the flow speed of the water pump in the normally drained drainage channel and increase the drainage; for the water drainage channel with the fault, temporarily reducing the rotating speed of the motor to adjust the rotating speed of the fan blades of the water pump so as to reduce the flow speed of the water pump in the water drainage channel with the fault and reduce the water drainage amount; meanwhile, the cloud end also informs related personnel of the specific position of the faulty drainage pipeline in a short message manner;
s104: related personnel change the position of the water pump in the drainage pipeline with the fault through the wheels of the water pump travelling mechanism to dredge the blockage or replace the water pump so as to maintain the drainage pipeline with the fault and restore the drainage pipeline to be a drainage channel for normal drainage;
s105: the cloud end pair restores to be the normally-drained drainage channel, the rotating speed of the fan blade of the water pump is adjusted by increasing the rotating speed of the motor, so that the flow speed of the water pump in the drainage channel restored to be normally-drained is increased, the water drainage quantity is further increased, and the drainage task is executed.
The technical scheme provided by the invention has the beneficial effects that: under the condition of not destroying the original urban drainage system, the rainwater in the city is timely drained, and the problem of water accumulation on the urban road in rainy days caused by the fault of the drainage system is solved.
Drawings
FIG. 1 is a block diagram of an intelligent regulated water flow rate and water flow path planning system of the present invention;
FIG. 2 is a diagram of a convolutional neural network architecture in an embodiment of the present invention;
fig. 3 is a structural view of a rainfall sensor in the embodiment of the present invention;
in fig. 1, the numbers have the following meanings:
1. the cloud end 2, the pump fan blades 3, the pump travelling mechanism wheels 4, the pump sensor 5, the rainfall sensor 6, the ground surface 7, the water pump 8, the first drainage pipe 9, the second drainage pipe 10, the first drainage channel 11, the second drainage channel 12, the third drainage channel 13 and the river.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, embodiments of the present invention will be further described with reference to the accompanying drawings.
Referring to fig. 1, an embodiment of the present invention provides a structure diagram of an intelligent water speed and water flow path planning system, which specifically includes: the system comprises a cloud end 1, a water pump sensor 2 and a rainfall sensor 5; the water pump sensor 2 and the rainfall sensor 5 are both connected with the cloud end in a wireless network manner; the water pump sensors 2 are respectively arranged in the drainage pumps of the sewer pipelines at various places in the city and are used for acquiring the drainage conditions of the sewer pipelines at various places in the city; the rainfall sensors 5 are respectively arranged at different positions of the urban ground surface 6 and are used for acquiring rainfall conditions of all places in the city; the cloud collects the urban drainage condition and rainfall condition through the water pump sensor 2 and the rainfall sensor 5, and plans a route for discharging rainfall to the river 13.
Each water pump sensor 2 comprises a camera mounted on the water pump 7 and a flow velocity sensor mounted on the water pump 7; the camera is used for shooting a drainage image of the drainage channel and uploading the drainage image to the cloud end 1; the flow velocity sensor is used for detecting water pump drainage data and uploading the drainage data to the cloud end 1; the cloud end analyzes whether the drainage channel is blocked or not by adopting a feedforward convolutional neural network according to the drainage image; in the embodiment of the invention, the convolutional neural network is a feed-forward neural network, and the artificial neurons of the convolutional neural network can respond to peripheral units in a part of coverage range to extract image features. Mainly comprises a convolution layer, a pooling layer and a full-connection layer; the specific structure of the convolutional neural network is shown in fig. 2, and fig. 2 is a structural diagram of the convolutional neural network in the embodiment of the present invention; the convolution layer is a group of parallel characteristic graphs and is formed by sliding different convolution kernels on an input image and operating certain operation; the pooling layer is a nonlinear down-sampling, and a method of a maximum pooling layer is adopted in the embodiment of the patent; after a few convolution and max pooling layers, high-level reasoning in neural networks is done through a fully connected layer; and after the convolution layer is output, inputting the extracted image characteristics into two full-connection layers, and finally outputting a classification result through a softmax layer, namely whether the drainage channel is blocked or not.
Referring to fig. 3, fig. 3 is a structural view of a rainfall sensor; the rainfall sensing device comprises a single chip microcomputer, a capacitance sensor, a water bearing device and a motor; the motor is connected to the water bearing device through a connecting rod; the bottom of the water bearing device is provided with the capacitance sensor; the capacitance sensor and the motor are both electrically connected with the single chip microcomputer; the single chip microcomputer is used for reading in the capacitance value of the capacitance sensor so as to calculate the water quantity; when the amount of water increases, the capacitance value of the capacitive sensor becomes large; when the capacitance value reaches a preset capacitance threshold value, rainwater in the water bearing device overflows, the motor rotates to drive the water bearing device to overturn, water is poured out, and meanwhile the single chip microcomputer records the rotation times of the motor to determine the total rainfall.
The cloud 1 analyzes the drainage data to obtain the drainage quantity of the drainage channel; the drainage conditions include whether the drain is clogged and the amount of drainage of the drain.
The water pump 7 is characterized in that the motor drives the water pump fan blades 2 to rotate so as to regulate water flow; the motor further comprises a control driving device, and the control driving device is also connected with the cloud end 1 through a wireless network; the cloud end 1 is communicated with the control driving device to adjust the rotating speed of the motor so as to adjust the water discharge.
The water pump 7 is also provided with a water pump travelling mechanism wheel 3 which is used for moving under the condition that the drainage channel is blocked and dredging the drainage channel.
In this embodiment, the rainfall sensors 5 are placed on the surface 6 of the city every 5m to cover the whole city; .
The drainage channel comprises a drainage channel positioned on the earth surface 6 and an underground drainage pipe; the drainage channel with the drain pipe all has a plurality ofly, constitutes urban drainage system jointly. In the present embodiment, only three drainage channels and two drainage pipes are illustrated, namely a first drainage channel 10, a second drainage channel 11, a third drainage channel 12, a first drainage pipe 8 and a second drainage pipe 9.
The cloud collects the urban drainage condition and rainfall condition through the water pump sensor 2 and the rainfall sensor 5, and plans the route of the rainfall to the river 13, specifically as follows:
s101: the cloud 1 collects rainfall data detected by the rainfall sensor 5 installed in a city in a wireless network mode, and summarizes the rainfall data to obtain the total rainfall of the city;
s102: the cloud 1 collects the drainage conditions detected by the water pump sensors 4 installed in cities in a wireless network manner, and analyzes the drainage conditions to obtain the drainage channels with faults, the drainage channels with normal drainage and the total drainage quantity of the current drainage channels in the cities;
s103: the cloud end 1 sends a control signal to a control driving device in a normally drained drainage channel according to the principle that the current total drainage is larger than the total rainfall of a city, and adjusts the rotating speed of a fan blade 2 of a water pump by increasing the rotating speed of a motor so as to increase the flow speed of a water pump 7 in the normally drained drainage channel and increase the drainage; for the water drainage channel with the fault, temporarily reducing the rotating speed of the motor to adjust the rotating speed of the fan blade 2 of the water pump so as to reduce the flow speed of the water pump 7 in the water drainage channel with the fault and reduce the water drainage; meanwhile, the cloud 1 informs the related personnel of the specific position of the faulty drainage pipeline in a short message manner;
s104: related personnel change the position of the water pump 7 in the drainage pipeline with the fault through the water pump travelling mechanism wheel 3 to dredge the blockage, or replace the water pump 7 so as to maintain the drainage pipeline with the fault and restore the drainage pipeline to be a normally drained drainage channel;
s105: the high in the clouds 1 is to recovering to normal excretory drain, through the rotational speed that improves motor speed regulation water pump flabellum 2 to the velocity of flow that increases to recover water pump 7 in the normal excretory drain further increases displacement, carries out the drainage task.
The invention has the beneficial effects that: under the condition of not destroying the original urban drainage system, the rainwater in the city is timely drained, and the problem of water accumulation on the urban road in rainy days caused by the fault of the drainage system is solved.
The features of the embodiments and embodiments described herein above may be combined with each other without conflict.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (8)
1. The utility model provides an intelligent regulation water speed and water flow route planning system which characterized in that: the system comprises a cloud (1), a water pump sensor (4) and a rainfall sensor (5); the water pump sensor (4) and the rainfall sensor (5) are connected with the cloud end in a wireless network mode; the water pump sensors (4) are respectively arranged in the drainage pumps of the sewer pipelines at various places of the city and are used for acquiring the drainage condition of the sewer pipelines at various places of the city; the rainfall sensors (5) are arranged at different positions of the urban ground surface (6) respectively and used for acquiring the rainfall conditions of all places in the city; the cloud end collects the urban drainage condition and the rainfall condition through the water pump sensor (4) and the rainfall sensor (5), and plans a route of the rainfall to the river (13).
2. The system of claim 1, wherein the system comprises: each water pump sensor (4) comprises a camera arranged on the water pump (7) and a flow velocity sensor arranged on the water pump (7); the camera is used for shooting a drainage image of the drainage channel and uploading the drainage image to the cloud end (1); the flow velocity sensor is used for detecting water pump drainage data and uploading the drainage data to the cloud end (1); the cloud (1) analyzes whether the drainage channel is blocked or not by adopting a feedforward convolutional neural network according to the drainage image; the cloud (1) analyzes the drainage data to obtain the drainage quantity of the drainage channel; the drainage conditions include whether the drain is clogged and the amount of drainage of the drain.
3. The system of claim 1, wherein the system comprises: the rainfall sensor (5) comprises a single chip microcomputer, a capacitance sensor, a water bearing device and a motor; the motor is connected to the water bearing device through a connecting rod; the bottom of the water bearing device is provided with the capacitance sensor; the capacitance sensor and the motor are both electrically connected with the single chip microcomputer; the single chip microcomputer is used for reading in the capacitance value of the capacitance sensor so as to calculate the water quantity; when the amount of water increases, the capacitance value of the capacitive sensor becomes large; when the capacitance value reaches a preset capacitance threshold value, rainwater in the water bearing device overflows, the motor rotates to drive the water bearing device to overturn, water is poured out, and meanwhile the single chip microcomputer records the rotation times of the motor to determine the total rainfall.
4. The system of claim 2, wherein the system comprises: the water pump (7) is characterized in that the motor drives the water pump fan blades (2) to rotate so as to adjust water flow; the motor further comprises a control driving device, and the control driving device is also connected with the cloud end (1) through a wireless network; the cloud end (1) is communicated with the control driving device to adjust the rotating speed of the motor so as to adjust the water displacement.
5. The system of claim 4, wherein the system comprises: the water pump (7) is also provided with a water pump travelling mechanism wheel (3) which is used for moving under the condition that the drainage channel is blocked and dredging the drainage channel.
6. The system of claim 1, wherein the system comprises: the rainfall sensors (5) are arranged on the urban ground surface (6) every Lm to cover the whole city; l is a preset value, and L > 0.
7. The system of claim 1, wherein the system comprises: the drainage channel comprises a drainage channel positioned on the ground surface (6) and an underground drainage pipe; the drainage channel with the drain pipe all has a plurality ofly, constitutes urban drainage system jointly.
8. The system of claim 2, wherein the system comprises: the cloud end collects the urban drainage condition and the rainfall condition through the water pump sensor (4) and the rainfall sensor (5), and plans a route of the rainfall to the river (13), and specifically comprises the following steps:
s101: the cloud (1) collects rainfall data detected by the rainfall sensor (5) installed in a city in a wireless network mode, and summarizes the rainfall data to obtain the total rainfall of the city;
s102: the cloud (1) collects the drainage conditions detected by the water pump sensors (4) installed in cities in a wireless network manner, and analyzes the drainage conditions to obtain the drainage channels with faults, the drainage channels with normal drainage and the total drainage quantity of the current drainage channels in the cities;
s103: the cloud end (1) sends a control signal to a control driving device in a normally-drained drainage channel according to the principle that the current total drainage is larger than the total rainfall of a city, and adjusts the rotating speed of a fan blade (2) of a water pump by increasing the rotating speed of a motor so as to increase the flow speed of a water pump (7) in the normally-drained drainage channel and increase the drainage; for the water drainage channel with the fault, temporarily reducing the rotating speed of the motor to adjust the rotating speed of the fan blade (2) of the water pump so as to reduce the flow speed of the water pump (7) in the water drainage channel with the fault and reduce the water drainage amount; meanwhile, the cloud (1) informs related personnel of the specific position of the faulty drainage pipeline in a short message manner;
s104: related personnel change the position of the water pump (7) in the drainage pipeline with the fault through the water pump travelling mechanism wheel (3) to dredge the blockage, or replace the water pump (7) so as to maintain the drainage pipeline with the fault and restore the drainage pipeline to a drainage channel with normal drainage;
s105: high in the clouds (1) is to recovering for normal excretory drain, through the rotational speed that improves motor speed regulation water pump flabellum (2) to increase the velocity of flow that resumes for water pump (7) in the normal excretory drain, further increase displacement, execute the drainage task.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010260965.XA CN111519730A (en) | 2020-04-03 | 2020-04-03 | Intelligent water speed and water flow path regulating planning system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010260965.XA CN111519730A (en) | 2020-04-03 | 2020-04-03 | Intelligent water speed and water flow path regulating planning system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111519730A true CN111519730A (en) | 2020-08-11 |
Family
ID=71902242
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010260965.XA Pending CN111519730A (en) | 2020-04-03 | 2020-04-03 | Intelligent water speed and water flow path regulating planning system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111519730A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2024061980A1 (en) * | 2022-09-20 | 2024-03-28 | Stormharvester IPR Limited | Anomaly detection in wastewater networks |
| WO2024061986A1 (en) * | 2022-09-20 | 2024-03-28 | Stormharvester IPR Limited | Anomaly detection for wastewater assets with pumps in wastewater networks |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN203259870U (en) * | 2013-06-04 | 2013-10-30 | 北京北排水务设计研究院有限公司 | Intelligent control system for prevention and treatment of city rainfall flood |
| CN107386422A (en) * | 2017-06-23 | 2017-11-24 | 深圳市盛路物联通讯技术有限公司 | A kind of intelligent city water discharge method and system |
| CN206960688U (en) * | 2017-06-20 | 2018-02-02 | 广州极飞科技有限公司 | Rainfall gauge |
| CN109577449A (en) * | 2018-12-03 | 2019-04-05 | 肖修军 | A kind of municipal drainage network monitoring control system based on big data |
| CN109657841A (en) * | 2018-11-27 | 2019-04-19 | 杭州师范大学 | A kind of urban rainstorm waterlogging depth of accumulated water extracting method |
| CN109964237A (en) * | 2016-09-15 | 2019-07-02 | 谷歌有限责任公司 | Picture depth prediction neural network |
| CN209131772U (en) * | 2018-12-21 | 2019-07-19 | 青州市住房和城乡建设局 | Urban Flood control water level monitoring system |
| CN110130456A (en) * | 2019-05-20 | 2019-08-16 | 福建工程学院 | A kind of intelligent city's rain-water drainage management measure of supervision and system |
| CN209879037U (en) * | 2019-07-12 | 2019-12-31 | 河北省衡水水文水资源勘测局 | Tipping bucket type rain gauge |
-
2020
- 2020-04-03 CN CN202010260965.XA patent/CN111519730A/en active Pending
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN203259870U (en) * | 2013-06-04 | 2013-10-30 | 北京北排水务设计研究院有限公司 | Intelligent control system for prevention and treatment of city rainfall flood |
| CN109964237A (en) * | 2016-09-15 | 2019-07-02 | 谷歌有限责任公司 | Picture depth prediction neural network |
| CN206960688U (en) * | 2017-06-20 | 2018-02-02 | 广州极飞科技有限公司 | Rainfall gauge |
| CN107386422A (en) * | 2017-06-23 | 2017-11-24 | 深圳市盛路物联通讯技术有限公司 | A kind of intelligent city water discharge method and system |
| CN109657841A (en) * | 2018-11-27 | 2019-04-19 | 杭州师范大学 | A kind of urban rainstorm waterlogging depth of accumulated water extracting method |
| CN109577449A (en) * | 2018-12-03 | 2019-04-05 | 肖修军 | A kind of municipal drainage network monitoring control system based on big data |
| CN209131772U (en) * | 2018-12-21 | 2019-07-19 | 青州市住房和城乡建设局 | Urban Flood control water level monitoring system |
| CN110130456A (en) * | 2019-05-20 | 2019-08-16 | 福建工程学院 | A kind of intelligent city's rain-water drainage management measure of supervision and system |
| CN209879037U (en) * | 2019-07-12 | 2019-12-31 | 河北省衡水水文水资源勘测局 | Tipping bucket type rain gauge |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2024061980A1 (en) * | 2022-09-20 | 2024-03-28 | Stormharvester IPR Limited | Anomaly detection in wastewater networks |
| WO2024061986A1 (en) * | 2022-09-20 | 2024-03-28 | Stormharvester IPR Limited | Anomaly detection for wastewater assets with pumps in wastewater networks |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111519730A (en) | Intelligent water speed and water flow path regulating planning system | |
| WO2011159620A2 (en) | Methods and systems for monitoring, controlling, and recording performance of a storm water runoff network | |
| CN109114430A (en) | A kind of urban drainage pipe network on-line monitoring system | |
| KR101786494B1 (en) | A system for controlling the maintenance of large scale stormwater storage reservoirs | |
| CN110274656B (en) | Urban inland river water level forecasting and early warning method | |
| KR102029651B1 (en) | rainwater recycle autonomous operation system | |
| CN106835971B (en) | A kind of viaduct system for reclaiming rainwater and its installation method | |
| US20160378123A1 (en) | System and method for agent-based control of sewer infrastructure | |
| CN205557647U (en) | Utilization function's fixed anti -icing, deicing system are collected again to collection bridge floor rainwater | |
| CN213625051U (en) | Town road drainage structures | |
| CN114895060A (en) | Municipal drainage pipeline flow speed and flow intelligent assessment method and system | |
| CN112227501A (en) | Initial rainwater intelligent collecting and distributing gutter inlet and distributing method | |
| CN207392409U (en) | A kind of Mobyneb Vatch basin system | |
| KR20130058718A (en) | Non-point pollution reducing treatment facilities and treatment method using weather information and modeling system | |
| CN104234171B (en) | Based on the arterial drainage regulating and controlling water quality system and method that pollution of area source controls | |
| JPS5919367B2 (en) | rainwater drainage system | |
| JP3379008B2 (en) | Flow forecasting system | |
| JP4399122B2 (en) | Rainwater inflow prediction device | |
| JP3625367B2 (en) | Sewer system storage facility operation support device | |
| JP2023043961A (en) | Regional flood control system | |
| KR101942549B1 (en) | Method and apparatus for monitoring of automatic water treatment system | |
| CN113296550A (en) | Rainwater discharges municipal administration monitored control system | |
| CN113551717B (en) | Monitoring method and device for intelligent monitoring of intercepting well | |
| JP2000276235A (en) | Wide area rainwater drainage system supporting device | |
| CN117541452B (en) | Intelligent data analysis system and method applied to road stable drainage |
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 |
Application publication date: 20200811 |
|
| RJ01 | Rejection of invention patent application after publication |