CN115061390A - Water supply scheduling system and method based on big data and artificial intelligence - Google Patents
Water supply scheduling system and method based on big data and artificial intelligence Download PDFInfo
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- CN115061390A CN115061390A CN202210689748.1A CN202210689748A CN115061390A CN 115061390 A CN115061390 A CN 115061390A CN 202210689748 A CN202210689748 A CN 202210689748A CN 115061390 A CN115061390 A CN 115061390A
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- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 title claims abstract description 96
- 238000013473 artificial intelligence Methods 0.000 title claims abstract description 15
- 238000000034 method Methods 0.000 title claims description 9
- 238000000746 purification Methods 0.000 claims abstract description 14
- 238000012544 monitoring process Methods 0.000 claims description 9
- 230000002159 abnormal effect Effects 0.000 claims description 4
- 230000008569 process Effects 0.000 claims description 3
- 238000013480 data collection Methods 0.000 description 6
- 238000010586 diagram Methods 0.000 description 3
- 230000006872 improvement Effects 0.000 description 3
- 238000012423 maintenance Methods 0.000 description 2
- 239000012141 concentrate Substances 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000006855 networking Effects 0.000 description 1
- 238000003908 quality control method Methods 0.000 description 1
- 239000008399 tap water Substances 0.000 description 1
- 235000020679 tap water Nutrition 0.000 description 1
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A20/00—Water conservation; Efficient water supply; Efficient water use
- Y02A20/152—Water filtration
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Abstract
The invention discloses a water supply dispatching system based on big data and artificial intelligence, which comprises a regulation and control data control processor, a user side, a pressurizing station and a water purification plant, wherein the regulation and control data control processor is connected with and controls the user side, the pressurizing station and the water purification plant, and the user side comprises a residential area, a factory and a commercial place which are sequentially connected with the user side. Compared with the prior art, the invention has the advantages that: the water supply dispatching system based on big data and artificial intelligence is convenient to dispatch and use water according to the using habits of users.
Description
Technical Field
The invention relates to the technical field of water supply scheduling, in particular to a water supply scheduling system and method based on big data and artificial intelligence.
Background
According to the development of 21 st century cities, the population density of urban areas is higher and higher. The building usually has hundreds of households living together, and tap water is firstly conveyed to a water storage device by a water supply pipe network and then is provided for users to use; as the urban planning concentrates the buildings with high homogeneity in a specific area, the living habits and the living habits of residents in the buildings are similar, and the water using habits are also very similar, so that the water consumption of the buildings is concentrated in a certain specific time period, and the water leakage phenomenon is likely to occur in the current manual scheduling stage when the water consumption of the buildings is not properly scheduled and the buildings are in overload operation, which forms a strong contrast with the prior information and networking society.
Disclosure of Invention
The technical problem to be solved by the invention is to overcome the technical defects and provide a water supply scheduling system based on big data and artificial intelligence, which is convenient for performing water supply scheduling according to the use habits of users.
In order to solve the technical problems, the technical scheme provided by the invention is as follows: the utility model provides a water supply dispatch system based on big data and artificial intelligence, includes regulation and control data control treater, user side, pressurization station, water purification plant, regulation and control data control treater connection control user side, pressurization station, water purification plant, the user side is including the residential quarter, mill, the commercial place that connect gradually with the user side.
As an improvement, the water purification plant is connected with a pressure sensor, a water level sensor, a flow sensor, a water quality monitoring sensor and a water plant pump frequency controller.
As an improvement, the user side is connected with a historical data collecting and processing center, the historical data collecting and processing center is connected with a control data control processor, and the water inlet ends of residential areas, factories and commercial places are all provided with flow data collectors.
As an improvement, a pressure sensor and a water level sensor of the pressurizing reservoir are connected in the pressurizing station.
A method of a water supply dispatching system based on big data and artificial intelligence comprises the following steps: step 1: the water demand data of residential districts, factories and commercial places at the user end are uploaded to the regulation and control data control processor, the regulation and control data control processor controls the water supply of the water purification plant, and the pressurizing station performs secondary pressurization and is sent to the user end;
step 2: the water treatment plant internal pressure sensor, the water level sensor, the flow sensor, the water quality monitoring sensor and the water plant pump frequency controller process the data in the water treatment plant to the regulation data control processor, and the regulation data control processor reports the data to a background for observation, so that workers can conveniently monitor the data;
and step 3: the historical data collection and processing center collects the water demand of the user end, the data control processor is convenient to regulate and control water supply, meanwhile, the water consumption of each party is convenient to monitor, and abnormal condition monitoring is convenient
Compared with the prior art, the invention has the advantages that: the cooperation through historical data collection processing center and regulation and control data control treater sets up the convenience and gathers the record to different users' water use custom, and cooperation control dispatch pipe network prevents that the peak from supplying water not enough, or the great pipe network leakage that leads to of water pressure, and regulation and control data control treater is to water purification plant and pressurization station regulation and control use, and the convenience makes things convenient for the maintenance of pipe network to unusual water monitoring simultaneously.
Drawings
Fig. 1 is a block diagram of a water supply scheduling system based on big data and artificial intelligence.
Fig. 2 is a block diagram of a water treatment plant.
Fig. 3 is a block diagram of the pressurizing station.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings.
Referring to fig. 1-3, a water supply dispatching system based on big data and artificial intelligence comprises a control data control processor, a user terminal, a pressurizing station and a water purification plant, wherein the control data control processor is connected with and controls the user terminal, the pressurizing station and the water purification plant, and the user terminal comprises a residential area, a factory and a commercial place which are sequentially connected with the user terminal.
The water purification plant is connected and is equipped with pressure sensor, level sensor, flow sensor, water quality control sensor, water works pump frequency controller, conveniently monitors the quality of water yield in the water supply plant, makes things convenient for the detection report of data, the user side is connected and is equipped with historical data collection processing center, historical data collection processing center is connected the setting with regulation and control data control treater, the end of intaking of residential quarter, mill, commercial place all is equipped with flow data collection station, and historical data collection processing center's setting is conveniently collected user's water use custom, convenient regulation and control.
The pressurization station is internally connected with a pressurization reservoir pressure sensor and a pressurization reservoir water level sensor, so that the water pressure and the water quantity in the pressurization station can be conveniently monitored, and water can be conveniently delivered to a user side for use.
When the water supply monitoring system is implemented, water demand data of residential communities, factories and commercial places at a user end are uploaded to the regulation data control processor, the regulation data control processor controls water supply of a water treatment plant, the pressurizing station performs secondary pressurizing and sends the water demand data to the user end, the pressure sensor, the water level sensor, the flow sensor, the water quality monitoring sensor and the water treatment plant pump frequency controller in the water treatment plant process the data in the water treatment plant to the regulation data control processor, the regulation data control processor reports the data to a background for observation, monitoring of workers is facilitated, the water demand of the user end is collected through the historical data collecting and processing center, the regulation data control processor is facilitated to regulate and control water supply, meanwhile, water consumption of each party is facilitated to monitor abnormal conditions, and self-inspection and maintenance are facilitated to a pipe network when the water is abnormal. Those not described in detail in this specification are within the skill of the art.
The present invention and its embodiments have been described above, and the description is not intended to be limiting, and the drawings are only one embodiment of the present invention, and the actual structure is not limited thereto. In summary, those skilled in the art should be able to conceive of the present invention without creative design of the similar structural modes and embodiments without departing from the spirit of the present invention, and all such modifications should fall within the protection scope of the present invention.
Claims (5)
1. The utility model provides a water supply dispatch system based on big data and artificial intelligence, includes regulation and control data control treater, user side, pressurization station, water purification plant, its characterized in that: the regulation and control data control processor is connected with and controls a user side, a pressurization station and a water purification plant, and the user side comprises a residential area, a factory and a commercial place which are sequentially connected with the user side.
2. The big data and artificial intelligence based water supply scheduling system of claim 1, wherein: the water purification plant is connected with a pressure sensor, a water level sensor, a flow sensor, a water quality monitoring sensor and a water plant pump frequency controller.
3. The big data and artificial intelligence based water supply scheduling system of claim 1, wherein: the system is characterized in that a historical data collecting and processing center is connected to the user side and is connected with a regulation and control data control processor, and flow data collectors are arranged at water inlet ends of residential districts, factories and commercial places.
4. The big data and artificial intelligence based water supply scheduling system of claim 1, wherein: and a pressurizing reservoir pressure sensor and a pressurizing reservoir water level sensor are connected in the pressurizing station.
5. The method for the big data and artificial intelligence based water supply dispatching system according to any one of claims 1-4, wherein: the method comprises the following steps: step 1: the water demand data of residential districts, factories and commercial places at the user end are uploaded to the regulation and control data control processor, the regulation and control data control processor controls the water supply of the water purification plant, and the pressurizing station performs secondary pressurization and is sent to the user end;
step 2: the water treatment plant internal pressure sensor, the water level sensor, the flow sensor, the water quality monitoring sensor and the water plant pump frequency controller process the data in the water treatment plant to the regulation data control processor, and the regulation data control processor reports the data to a background for observation, so that workers can conveniently monitor the data;
and step 3: the historical data collecting and processing center collects the water demand of the user end, the data control processor is convenient to regulate and control water supply, meanwhile, the water consumption of each party is convenient to monitor, and abnormal conditions are convenient to monitor.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210689748.1A CN115061390A (en) | 2022-06-17 | 2022-06-17 | Water supply scheduling system and method based on big data and artificial intelligence |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210689748.1A CN115061390A (en) | 2022-06-17 | 2022-06-17 | Water supply scheduling system and method based on big data and artificial intelligence |
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| CN115061390A true CN115061390A (en) | 2022-09-16 |
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| CN202210689748.1A Pending CN115061390A (en) | 2022-06-17 | 2022-06-17 | Water supply scheduling system and method based on big data and artificial intelligence |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109587440A (en) * | 2018-05-09 | 2019-04-05 | 哈尔滨理工大学 | Water supply Dispatching monitor and control system based on hybrid network |
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2022
- 2022-06-17 CN CN202210689748.1A patent/CN115061390A/en active Pending
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109587440A (en) * | 2018-05-09 | 2019-04-05 | 哈尔滨理工大学 | Water supply Dispatching monitor and control system based on hybrid network |
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