CN108446838A - A kind of bridge safety supervision system based on big data - Google Patents
A kind of bridge safety supervision system based on big data Download PDFInfo
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- CN108446838A CN108446838A CN201810189071.9A CN201810189071A CN108446838A CN 108446838 A CN108446838 A CN 108446838A CN 201810189071 A CN201810189071 A CN 201810189071A CN 108446838 A CN108446838 A CN 108446838A
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- 238000013528 artificial neural network Methods 0.000 claims abstract description 19
- 230000007613 environmental effect Effects 0.000 claims description 12
- 238000006073 displacement reaction Methods 0.000 claims description 7
- 238000012546 transfer Methods 0.000 claims description 5
- 230000006399 behavior Effects 0.000 claims description 3
- 230000005540 biological transmission Effects 0.000 claims description 3
- 238000012856 packing Methods 0.000 claims description 3
- 238000012545 processing Methods 0.000 claims description 3
- 230000003068 static effect Effects 0.000 claims description 3
- 238000012544 monitoring process Methods 0.000 abstract description 6
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- 238000005457 optimization Methods 0.000 description 2
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Abstract
The bridge safety supervision system based on big data that the invention discloses a kind of, including Ali's cloud smart city big data system, including：Sensor network, neural network module, the network output of the sensor network is connect with the input terminal of Ali's cloud smart city big data system, a large amount of Urban Bridge data are stored using Ali's cloud smart city big data system, and the bridge data that storage is transferred by neural network is used as learning sample, the study of intelligence obtains the assessed value of bridge security situation, by assessed value intelligentized monitoring comprehensively can be carried out to city incity bridge, the safe condition for reflecting bridge in city comprehensively, facilitates city manager to manage.The system can be used for urban transportation facility management domain.
Description
Technical field
The present invention relates to bridge safety supervision technical field, more particularly to a kind of bridge safety supervision system based on big data
System.
Background technology
In recent years, the high speed development of China's economy and society has pushed the construction of science of bridge building, and the number of science of bridge building is not
It is disconnected to increase, it is widely used in social life.The monitoring of the healthy and safe situation of bridge is a significant job.It is existing
Bridge health safe condition monitoring method be monitor is arranged to the respective location of bridge, sensor carries out control survey,
Pinpoint the problems and pointedly solved, moreover, the information of city or the bridge in a region can not intercommunication, although existing
Some cities or region all establish the disaster prevention system of big data, but the disaster prevention system of big data is only from macroscopically monitoring
The case where entire city or region, there is no the safety to bridge targetedly to be monitored so that city or region pipe
Reason person needs to be managed the bridge in entire city or region very difficult.
Invention content
The purpose that the present invention solves is：A kind of bridge safety supervision system based on big data is provided, to facilitate city
Manager is managed city incity bridge.
The solution that the present invention solves its technical problem is：A kind of bridge safety supervision system based on big data, packet
Ali's cloud smart city big data system is included, including：Sensor network, neural network module, the network of the sensor network
Output end is connect with the input terminal of Ali's cloud smart city big data system, and the sensor network is for including：Acquisition
Environmental parameter in bridge local environment and Bridge performance parameter, and the environmental parameter collected and structural behaviour are joined
Number is stored in the cloud reservoir of Ali's cloud smart city big data system；The neural network module is for including：It adjusts
Take the environmental parameter being stored in cloud reservoir and Bridge performance parameter, and environmental parameter and bridge structure to transfer
Energy parameter obtains the assessed value of bridge security situation as learning sample, study；The environmental parameter includes：Bridge position
Wind speed, wind direction, temperature, humidity, the vibration frequency of earth's surface, the Bridge performance parameter includes：The static position of bridge pier,
Dynamic position, subsiding extent, angle of inclination, displacement, the vibration frequency of bridge floor, buckles, the mechanical admittance of cable, mode ginseng
Number.
Further, the sensor network includes：Sensor node, forward node collect node, sensor node connection
Sensor, the output end of the sensor node are connect with the input terminal of the forward node, the output end of the forward node
It is connect with the input terminal for collecting node, the output end for collecting node is defeated with Ali's cloud smart city big data system
Enter end connection, the data that the sensor node is used to come sensor transmissions carry out packing processing, and the forward node is used
It is merged and is forwarded in the data packet for transmitting sensor node.
Further, the sensor includes：Air velocity transducer, wind transducer, vibration frequency sensor, temperature sensing
Device, humidity sensor, inclinator, GPS/BD/GNSS displacement sensors, subsiding extent sensor, cable tension sensor.
Further, pass through wireless connection between the node of the sensor network.
Further, the neural network module is BP neural network module.
The beneficial effects of the invention are as follows：The invention stores a large amount of city using Ali's cloud smart city big data system
City's bridge data, and the bridge data for transferring by neural network storage is used as learning sample, intelligent study obtains bridge peace
The assessed value of full situation can carry out intelligentized monitoring comprehensively to city incity bridge by assessed value, reflect city comprehensively
The safe condition of interior bridge, facilitates city manager to manage.
Description of the drawings
To describe the technical solutions in the embodiments of the present invention more clearly, make required in being described below to embodiment
Attached drawing is briefly described.Obviously, described attached drawing is a part of the embodiment of the present invention, rather than is all implemented
Example, those skilled in the art without creative efforts, can also be obtained according to these attached drawings other designs
Scheme and attached drawing.
Fig. 1 is the structure chart of the bridge safety supervision system of the invention.
Specific implementation mode
The technique effect of the design of the present invention, concrete structure and generation is carried out below with reference to embodiment and attached drawing clear
Chu is fully described by, to be completely understood by the purpose of the present invention, feature and effect.Obviously, described embodiment is this hair
Bright a part of the embodiment, rather than whole embodiments, based on the embodiment of the present invention, those skilled in the art are not being paid
The other embodiment obtained under the premise of creative work, belongs to the scope of protection of the invention.In addition, be previously mentioned in text
All connection/connection relations not singly refer to component and directly connect, and refer to that can be added deduct according to specific implementation situation by adding
Few couple auxiliary, to form more preferably coupling structure.Each technical characteristic in the invention, in not conflicting conflict
Under the premise of can be with combination of interactions.
Embodiment 1, with reference to figure 1, a kind of bridge safety supervision system based on big data, including：Ali's cloud smart city
Big data system, sensor network, neural network module, the network output of the sensor network and Ali's cloud wisdom
The input terminal of city big data system connects, and the sensor network is for including：Acquire the environment ginseng in bridge local environment
Number and Bridge performance parameter, and the environmental parameter collected and structural behaviour parameter are stored in Ali's cloud wisdom
In the cloud reservoir of city big data system；The neural network module is for including：Transfer the ring being stored in cloud reservoir
Border parameter and Bridge performance parameter, and the environmental parameter to transfer and Bridge performance parameter are learned as learning sample
Assessed value of the acquistion to bridge security situation；The sensor network includes：Multiple sensor nodes, multiple forward node converge
Collect node, sensor node all connects sensor, and the sensor includes：Air velocity transducer, wind transducer, vibration frequency pass
Sensor, temperature sensor, humidity sensor, inclinator, GPS/BD/GNSS displacement sensors, subsiding extent sensor, Suo Lichuan
Sensor.The output end of the sensor node is connect with the input terminal of the forward node, the output end of the forward node with
Collect the input terminal connection of node, the output end for collecting node is connect with the input terminal of the neural network module, described
The data that sensor node is used to come sensor transmissions carry out packing processing, and the forward node is used for sensor node
The data packet transmitted is merged and is forwarded.It is in place that the air velocity transducer, wind transducer can be used for acquiring bridge institute
The wind speed set, wind direction parameter；The temperature sensor, humidity sensor can be used for acquiring temperature, the humidity of bridge position
Parameter；The vibration frequency sensor can be used for acquiring the vibration frequency parameter of the earth's surface of bridge position, the vibration of bridge floor
Frequency, buckles parameter；The inclinator can be used for acquiring the angle of inclination parameter of bridge pier；The GPS/BD/GNSS displacements pass
Sensor can be used for acquiring the static position of bridge pier, dynamic position, displacement parameter；The subsiding extent sensor can be used for acquiring bridge
The subsiding extent parameter of pier；The cable tension sensor can be used for acquiring the mechanical admittance of cable, modal parameter.It is described to collect node
By in bridge local environment environmental parameter and Bridge performance parameter transmit Ali's cloud smart city big data system
In cloud reservoir in system, a large amount of data are stored for neural network using Ali's cloud smart city big data system
Module is called.
Neural network module calls the data in the big data system of Ali's cloud smart city, and is made with the data of calling
For training sample, with CJJ99-2003《Urban Bridge maintenance technology specification》Obtained assessed value is obtained as desired value, study
The assessed value of bridge security situation；Wherein, the process of training and establish of neural network module is the prior art, just not detailed here
It describes.As an optimization, the neural network module is BP neural network module.
As an optimization, pass through wireless connection between the node of the sensor network.
The invention stores a large amount of Urban Bridge data using Ali's cloud smart city big data system, and passes through god
The bridge data of storage is transferred as learning sample through network, and intelligent study obtains the assessed value of bridge security situation, passes through
Assessed value can carry out intelligentized monitoring comprehensively to city incity bridge, reflect the safe condition of bridge in city comprehensively, side
Just city manager manages.
The better embodiment of the present invention is illustrated above, but the invention is not limited to the implementation
Example, those skilled in the art can also make various equivalent modifications or be replaced under the premise of without prejudice to spirit of that invention
It changes, these equivalent modifications or replacement are all contained in the application claim limited range.
Claims (5)
1. a kind of bridge safety supervision system based on big data, including Ali's cloud smart city big data system, feature exist
In, including：Sensor network, neural network module, the network output of the sensor network and Ali's cloud wisdom city
The input terminal of city's big data system connects, and the sensor network is for including：Acquire the environmental parameter in bridge local environment
With Bridge performance parameter, and the environmental parameter collected and structural behaviour parameter are stored in Ali's cloud wisdom city
In the cloud reservoir of city's big data system；The neural network module is for including：Transfer the environment being stored in cloud reservoir
Parameter and Bridge performance parameter, and the environmental parameter to transfer and Bridge performance parameter learn as learning sample
Obtain the assessed value of bridge security situation；The environmental parameter includes：The wind speed of bridge position, wind direction, temperature, humidity,
The vibration frequency of earth's surface, the Bridge performance parameter include：The static position of bridge pier, dynamic position, subsiding extent, inclination
Angle, displacement, the vibration frequency of bridge floor, buckles, the mechanical admittance of cable, modal parameter.
2. a kind of bridge safety supervision system based on big data according to claim 1, which is characterized in that the sensing
Device network includes：Sensor node, forward node collect node, and sensor node connects sensor, the sensor node
Output end is connect with the input terminal of the forward node, and the output end of the forward node is connect with the input terminal for collecting node,
The output end for collecting node is connect with the input terminal of Ali's cloud smart city big data system, the sensor node
Data for sensor transmissions to come carry out packing processing, what the forward node was used to transmit sensor node
Data packet is merged and is forwarded.
3. a kind of bridge safety supervision system based on big data according to claim 2, which is characterized in that the sensing
Device includes：Air velocity transducer, wind transducer, vibration frequency sensor, temperature sensor, humidity sensor, inclinator, GPS/
BD/GNSS displacement sensors, subsiding extent sensor, cable tension sensor.
4. a kind of bridge safety supervision system based on big data according to claim 3, which is characterized in that the sensing
Pass through wireless connection between the node of device network.
5. according to a kind of bridge safety supervision system based on big data of claim 1-4 any one of them, which is characterized in that
The neural network module is BP neural network module.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN201810189071.9A CN108446838A (en) | 2018-03-08 | 2018-03-08 | A kind of bridge safety supervision system based on big data |
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| CN201810189071.9A CN108446838A (en) | 2018-03-08 | 2018-03-08 | A kind of bridge safety supervision system based on big data |
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| CN201810189071.9A Pending CN108446838A (en) | 2018-03-08 | 2018-03-08 | A kind of bridge safety supervision system based on big data |
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109855632A (en) * | 2019-01-07 | 2019-06-07 | 中铁第一勘察设计院集团有限公司 | Vehicle pass-through navigation system and method based on the acquisition of bridge damper damping data |
| CN111738996A (en) * | 2020-06-09 | 2020-10-02 | 交通运输部公路科学研究所 | Bridge health monitoring and early warning system based on machine learning |
| CN113160022A (en) * | 2021-04-27 | 2021-07-23 | 广东天濠建设工程有限公司 | Municipal bridge maintenance management system, method and equipment and readable storage medium |
| CN115808324A (en) * | 2023-01-30 | 2023-03-17 | 湖南东数交通科技有限公司 | Lightweight safety management monitoring method and system for small and medium-span bridges |
| CN116991841A (en) * | 2023-09-25 | 2023-11-03 | 温州市工业与信息技术发展有限公司 | Data intelligent cleaning method for mixed wind data model |
| CN118013268A (en) * | 2024-04-08 | 2024-05-10 | 中大智能科技股份有限公司 | Bridge support monitoring system design method and device |
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| CN109855632A (en) * | 2019-01-07 | 2019-06-07 | 中铁第一勘察设计院集团有限公司 | Vehicle pass-through navigation system and method based on the acquisition of bridge damper damping data |
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| CN113160022A (en) * | 2021-04-27 | 2021-07-23 | 广东天濠建设工程有限公司 | Municipal bridge maintenance management system, method and equipment and readable storage medium |
| CN115808324A (en) * | 2023-01-30 | 2023-03-17 | 湖南东数交通科技有限公司 | Lightweight safety management monitoring method and system for small and medium-span bridges |
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| CN118013268A (en) * | 2024-04-08 | 2024-05-10 | 中大智能科技股份有限公司 | Bridge support monitoring system design method and device |
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