CN208126137U - A kind of emergency detection system based on big data - Google Patents
A kind of emergency detection system based on big data Download PDFInfo
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- CN208126137U CN208126137U CN201820742505.9U CN201820742505U CN208126137U CN 208126137 U CN208126137 U CN 208126137U CN 201820742505 U CN201820742505 U CN 201820742505U CN 208126137 U CN208126137 U CN 208126137U
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- monitoring center
- acquisition device
- data acquisition
- water
- distributed data
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Abstract
The utility model provides a kind of emergency detection system based on big data, including distributed data acquisition device, monitoring center and Cloud Server, distributed data acquisition device includes thermometer, flowmeter, hydraulic pressure sensor, water level sensor, water analysis sensor, locator and the first transceiver module, distributed data acquisition device is used to be arranged in temperature, flow, pressure, water level, water quality and the geographical location of setting that water body is measured in water body, and data sharing is carried out between distributed data acquisition device, monitoring center and Cloud Server.The utility model can be convenient ground emergency monitoring, collection, the flow information of water for handling and sharing important water body by the distributed data acquisition device and related platform that integrate multiple sensors, combats a natural disaster decision for flood season and provides support.
Description
Technical field
The utility model belongs to Emergent detection technical field, and in particular to a kind of emergency detection system based on big data.
Background technique
In recent years, unusual weather conditions bring heavy rain is commonplace.Heavy rain and city rural drainage pipeline drainage efficiency are low
Or obstructing problem frequently results in that some areas are disaster-stricken to be flooded, and causes serious economy and personal casualty loss.In the prior art, in river
Several monitoring sensors are fixedly installed in the water bodys such as lake and monitor flow rate of water flow and water level throughout the year, but these sensors are generally single
It solely lays, is not integrated into standard set-up, cause sensor setting inconvenient, data transfer mode mixes, reliability is low, monitoring system
The data process load of system is big.
Therefore it is clear to be badly in need of a kind of layer of structure, sensor integration degree height, data sharing and processing are easily counted based on big
According to emergency detection system.
Utility model content
In order to solve the above-mentioned technical problem, the utility model provides a kind of emergency detection system based on big data, the base
It can be square by the distributed data acquisition device and related platform for integrating multiple sensors in the emergency detection system of big data
Just emergency monitoring, collection, the flow information of water for handling and sharing important water body, combat a natural disaster decision for flood season and provide support.
The utility model provides the following technical solution：
A kind of emergency detection system based on big data, including distributed data acquisition device, monitoring center and cloud service
Device, distributed data acquisition device include thermometer, flowmeter, hydraulic pressure sensor, water level sensor, water analysis sensor,
Locator and the first transceiver module, distributed data acquisition device are used to be arranged in temperature, flow, the pressure that water body is measured in water body
Power, water level, water quality and the geographical location of setting, monitoring center include the second transceiver module, distributed data acquisition device and prison
Control center passes through the first transceiver module respectively and the second transceiver module is connected and carries out data transmission, and monitoring center passes through second
Transceiver module connect and carries out data transmission with Cloud Server, and monitoring center is used to handle being distributed in analysis storage region
The data of formula data acquisition device transmission, Cloud Server are used to handle the data that analysis stores all monitoring center transmission.
Preferably, distributed data acquisition device further includes controller, and thermometer, flowmeter, hydraulic pressure sensor, water level pass
Sensor, water analysis sensor, locator and the first transceiver module are connect with controller.
Preferably, monitoring center further includes central processing unit, memory module, alarm module and display module, the second transmitting-receiving
Module, memory module, alarm module and display module are connect with central processing unit.
It preferably, further include mobile terminal, mobile terminal connects monitoring center and Cloud Server by wireless communication.
It preferably, further include total monitoring center, total monitoring center is connect with monitoring center and Cloud Server respectively.
Preferably, locator is Beidou locator or GPS locator.
The utility model has the beneficial effects that：
1, the distributed data acquisition device of the utility model is integrated with various water bodies monitoring sensor, can monitor water body
Temperature, flow, pressure, water level, water quality and itself setting geographical location information, make acquisition monitoring information it is more comprehensive,
Sufficient data are provided for the influence that analyzing water body may cause to support.Meanwhile distributed data acquisition device becomes one,
Facilitate emergency distributed deployment.
2, the utility model distributed data acquisition device, monitoring center, total monitoring center, mobile terminal and Cloud Server
Monitoring data or monitoring result can be shared between multiple platforms, allow the phases such as decision-making level, management level, patrolman, maintenance personnel
Pass side is obtained in region in time or region-wide water body real-time change situation, timely and effectively prejudges convenient for them and copes with calamity
Evil.
Detailed description of the invention
Attached drawing is used to provide a further understanding of the present invention, and constitutes part of specification, practical with this
Novel embodiment is used to explain the utility model together, does not constitute limitations of the present invention.In the accompanying drawings：
Fig. 1 is the utility model structure diagram.
In figure label for：1, distributed data acquisition device；11, thermometer；12, flowmeter；13, hydraulic pressure sensor；14,
Water level sensor；15, water analysis sensor；16, locator；17, controller；18, the first transceiver module；2, monitoring center；
21, the second transceiver module；22, central processing unit；23, memory module；24, alarm module；25, display module；3, Cloud Server；
4, mobile terminal；5, total monitoring center.
Specific embodiment
Preferred embodiments of the present invention are described with reference to the accompanying drawing.
As shown in Figure 1, in a kind of emergency detection system based on big data, including distributed data acquisition device 1, monitoring
The heart 2 and Cloud Server 3.
Distributed data acquisition device 1 includes thermometer 11, flowmeter 12, hydraulic pressure sensor 13, water level sensor 14, water
Matter analyte sensors 15, locator 16, controller 17 and the first transceiver module 18.Thermometer 11, flowmeter 12, hydraulic pressure sensor
13, water level sensor 14, water analysis sensor 15, locator 16 and the first transceiver module 18 are connect with controller 17.Distribution
Formula data acquisition device 1 is used to be arranged in temperature, flow, pressure, water level, water quality and the geography of setting that water body is measured in water body
Position.Specifically, locator 16 is Beidou locator or GPS locator.
Monitoring center 2 includes the second transceiver module 21, central processing unit 22, memory module 23, alarm module 24 and display
Module 25.Distributed data acquisition device 1 and monitoring center 2 pass through 21 phase of the first transceiver module 18 and the second transceiver module respectively
It connects and carries out data transmission.All distributed data acquisition devices 1 that monitoring center 2 is used to handle in analysis storage region pass
Defeated data.Second transceiver module 21, memory module 23, alarm module 24 and display module 25 are connect with central processing unit 22.
Central processing unit 22 is used for the received data of the second transceiver module of calculation processing 21, and central processing unit 22 controls memory module 23 and deposits
Processing result is stored up, and controls the alarm of alarm module 24, display module 25 shows information.The control of central processing unit 22 second transmitting-receiving mould
Block 21 is sent out processing result.
Specifically, monitoring center 2 is connect and is carried out data transmission with Cloud Server 3 by the second transceiver module 21, cloud clothes
Business device 3 is used to handle analysis and stores the data that all monitoring centers 2 transmit.
Specifically, further including mobile terminal 4 and total monitoring center 5.Mobile terminal 4, total monitoring center 5 are respectively and in monitoring
The heart 2 and Cloud Server 3 connect.
Specific work process is:It is flood season with heavy rainfall, interim in important water body such as river, lake, shoal, low lying areas
Multiple distributed data acquisition devices 1 are set, streamflow regime is carried out using each sensor in distributed data acquisition device 1
The data monitored are transferred to the monitoring center 2 in region by monitoring, distributed data acquisition device 1.Prison in region
Control center 2 can obtain it according to the data that distributed data acquisition device 1 is sent, according to Cloud Server 3 and total monitoring center 5
The monitoring result of the associated water body of monitoring center 2 and patrolman, the masses are sent by mobile terminal 4 in his region
Warning message carries out integrated treatment and forms monitoring result, is then uploaded to Cloud Server 3 and total monitoring center 5 is summarized, and
The mobile terminal 4 for being distributed to patrolman distributes inspection task.The mobile end of Cloud Server 3 and total monitoring center 5, patrolman
Region-wide monitoring result can be shared between end 4.
The above descriptions are merely preferred embodiments of the present invention, is not intended to limit the utility model, although ginseng
The utility model is described in detail according to previous embodiment, it for those skilled in the art, still can be with
It modifies the technical solutions described in the foregoing embodiments or equivalent replacement of some of the technical features.It is all
Within the spirit and principles of the present invention, any modification, equivalent replacement, improvement and so on should be included in practical
Within novel protection scope.
Claims (6)
1. a kind of emergency detection system based on big data, which is characterized in that including distributed data acquisition device, monitoring center
And Cloud Server, the distributed data acquisition device include thermometer, flowmeter, hydraulic pressure sensor, water level sensor, water quality
Analyte sensors, locator and the first transceiver module, the distributed data acquisition device measure water for being arranged in water body
Temperature, flow, pressure, water level, water quality and the geographical location of setting of body, the monitoring center include the second transceiver module, institute
It states distributed data acquisition device and the monitoring center passes through first transceiver module and second transceiver module respectively
It is connected and carries out data transmission, the monitoring center is connect and carried out with the Cloud Server by second transceiver module
Data transmission, the monitoring center are used to handle all distributed data acquisition device transmission in analysis storage region
Data, the Cloud Server are used to handle the data of all monitoring center transmission of analysis storage.
2. the emergency detection system according to claim 1 based on big data, which is characterized in that the distributed data is adopted
Acquisition means further include controller, the thermometer, the flowmeter, the hydraulic pressure sensor, the water level sensor, the water
Matter analyte sensors, the locator and first transceiver module are connect with the controller.
3. the emergency detection system according to claim 2 based on big data, which is characterized in that the monitoring center also wraps
Include central processing unit, memory module, alarm module and display module, second transceiver module, the memory module, the announcement
Alert module and the display module are connect with the central processing unit.
4. the emergency detection system according to claim 3 based on big data, which is characterized in that it further include mobile terminal,
The mobile terminal connects the monitoring center and the Cloud Server by wireless communication.
5. the emergency detection system according to claim 4 based on big data, which is characterized in that further include in total monitoring
The heart, total monitoring center are connect with the monitoring center and the Cloud Server respectively.
6. the emergency detection system according to claim 5 based on big data, which is characterized in that the locator is Beidou
Locator or GPS locator.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201820742505.9U CN208126137U (en) | 2018-05-17 | 2018-05-17 | A kind of emergency detection system based on big data |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201820742505.9U CN208126137U (en) | 2018-05-17 | 2018-05-17 | A kind of emergency detection system based on big data |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN208126137U true CN208126137U (en) | 2018-11-20 |
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ID=64185860
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201820742505.9U Expired - Fee Related CN208126137U (en) | 2018-05-17 | 2018-05-17 | A kind of emergency detection system based on big data |
Country Status (1)
| Country | Link |
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| CN (1) | CN208126137U (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109764916A (en) * | 2019-03-06 | 2019-05-17 | 张永祥 | A kind of water conservancy Internet of things system based on cloud computing |
| CN112863131A (en) * | 2021-01-11 | 2021-05-28 | 浙江海峡创新科技有限公司 | City disaster prevention remote measurement terminal system based on large-scale distributed cloud data |
-
2018
- 2018-05-17 CN CN201820742505.9U patent/CN208126137U/en not_active Expired - Fee Related
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109764916A (en) * | 2019-03-06 | 2019-05-17 | 张永祥 | A kind of water conservancy Internet of things system based on cloud computing |
| CN112863131A (en) * | 2021-01-11 | 2021-05-28 | 浙江海峡创新科技有限公司 | City disaster prevention remote measurement terminal system based on large-scale distributed cloud data |
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| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20181120 Termination date: 20200517 |
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| CF01 | Termination of patent right due to non-payment of annual fee |