CN109278794A - Train rail abnormality detection system - Google Patents
Train rail abnormality detection system Download PDFInfo
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- CN109278794A CN109278794A CN201811128846.8A CN201811128846A CN109278794A CN 109278794 A CN109278794 A CN 109278794A CN 201811128846 A CN201811128846 A CN 201811128846A CN 109278794 A CN109278794 A CN 109278794A
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- train rail
- detection data
- sensor
- rail state
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B61—RAILWAYS
- B61K—AUXILIARY EQUIPMENT SPECIALLY ADAPTED FOR RAILWAYS, NOT OTHERWISE PROVIDED FOR
- B61K9/00—Railway vehicle profile gauges; Detecting or indicating overheating of components; Apparatus on locomotives or cars to indicate bad track sections; General design of track recording vehicles
- B61K9/08—Measuring installations for surveying permanent way
Abstract
The present invention provides train rail abnormality detection systems, comprising: detection module obtains train rail state-detection data for detecting to train rail state；Anomaly analysis module, including comparing unit and anomaly analysis unit, comparing unit is for the train rail state-detection data to be compared with calibration range；Anomaly analysis unit is used for when the train rail state-detection data exceed the calibration range, determines that the train rail state-detection data are abnormal；Warning module is visualized, for generating warning message, and show the warning message after determining that the train rail state-detection data are exception.
Description
Technical field
The present invention relates to train technical fields, and in particular to train rail abnormality detection system.
Background technique
Since the quality of train rail state will have a direct impact on the safety and stationarity of train operation, in order to guarantee
Train can be in good operating status for a long time, and it is vital for periodically carrying out detection to train rail state.It is existing
Track detecting is carried out in technology by the way of artificial detection.However, artificial detection speed is slow and cannot timely feedback detection knot
Fruit, so that problem can not be handled in real time, and the artificial detection of specific position is more demanding to the Specialized Quality of testing staff,
High labor cost.
Summary of the invention
In view of the above-mentioned problems, the present invention provides train rail abnormality detection system.
The purpose of the present invention is realized using following technical scheme:
Provide train rail abnormality detection system, comprising:
Detection module obtains train rail state-detection data for detecting to train rail state；
Anomaly analysis module, including comparing unit and anomaly analysis unit, comparing unit are used for the train rail shape
State detection data is compared with calibration range；Anomaly analysis unit is used to exceed institute when the train rail state-detection data
When stating calibration range, determine that the train rail state-detection data are abnormal；
Warning module is visualized, for generating alarm after determining that the train rail state-detection data are exception
Information, and show the warning message, so that maintenance personnel repairs abnormal train rail.
Wherein, the detection module includes aggregation node and multiple sensor nodes, multiple sensor node acquisition column
Track road state-detection data, the train rail state-detection Data Concurrent that aggregation node converges multiple sensor nodes are sent to institute
State anomaly analysis module.
Preferably, the sensor node includes ultrasonic sensor and pressure sensor, and ultrasonic sensor, pressure pass
Sensor periodically detects its corresponding train rail.
Preferably, the ultrasonic signal that the comparing unit acquires ultrasonic sensor compares with the first calibration range
Right, first calibration range is for stating ultrasonic signal attenuation range；The comparing unit also acquires pressure sensor
Pressure information be compared with the second calibration range, second calibration range is for stating pressure information variation range.
The invention has the benefit that realizing the real-time of train rail state-detection data using wireless sensor network
Acquisition, is compared, to determine the state of train rail with calibration range by the train rail state-detection data that will acquire
It is whether abnormal, if train rail state-detection data exceed calibration range, it is determined that the status information of train rail is abnormal, energy
It is enough to find the problem in time, strong real-time, and do not need manually to participate in detection, cost of labor is low.
Detailed description of the invention
The present invention will be further described with reference to the accompanying drawings, but the embodiment in attached drawing is not constituted to any limit of the invention
System, for those of ordinary skill in the art, without creative efforts, can also obtain according to the following drawings
Other attached drawings.
Fig. 1 is the structural schematic block diagram of the train rail abnormality detection system of an illustrative embodiment of the invention；
Fig. 2 is the structural schematic block diagram of the anomaly analysis module of an illustrative embodiment of the invention.
Appended drawing reference:
Detection module 1, anomaly analysis module 2, visualization warning module 3, comparing unit 10, anomaly analysis unit 20.
Specific embodiment
The invention will be further described with the following Examples.
Referring to Fig. 1, Fig. 2, the embodiment of the invention provides train rail abnormality detection systems, comprising:
Detection module 1 obtains train rail state-detection data for detecting to train rail state；
Anomaly analysis module 2, including comparing unit 10 and anomaly analysis unit 20, comparing unit 10 are used for the train
Track condition detection data is compared with calibration range；Anomaly analysis unit 20 is used to work as the train rail state-detection number
When according to exceeding the calibration range, determine that the train rail state-detection data are abnormal；
Warning module 3 is visualized, for generating alarm after determining that the train rail state-detection data are exception
Information, and show the warning message, so that maintenance personnel repairs abnormal train rail.
Wherein, the detection module 1 includes aggregation node and multiple sensor nodes, multiple sensor node acquisition column
Track road state-detection data, the train rail state-detection Data Concurrent that aggregation node converges multiple sensor nodes are sent to institute
State anomaly analysis module 2.In a kind of mode of preferred implementation, the sensor node includes that ultrasonic sensor and pressure pass
Sensor, ultrasonic sensor, pressure sensor periodically detect its corresponding train rail.In turn, the comparison
The ultrasonic signal that ultrasonic sensor acquires is compared unit 10 with the first calibration range, and first calibration range is used
In statement ultrasonic signal attenuation range；The comparing unit 10 is also by the pressure information of pressure sensor acquisition and the second calibration
Range is compared, and second calibration range is for stating pressure information variation range.
The above embodiment of the present invention realizes adopting in real time for train rail state-detection data using wireless sensor network
Collection, is compared by the train rail state-detection data that will acquire with calibration range, to determine that the state of train rail is
No exception, if train rail state-detection data exceed calibration range, it is determined that the status information of train rail is exception, can
It finds the problem in time, strong real-time, and do not need manually to participate in detection, cost of labor is low.
In one embodiment, after sensor node gets train rail state-detection data, by train rail shape
State detection data is transferred to aggregation node, comprising:
(1) sensor node is no more than preset apart from lower limit W at a distance from aggregation nodeminWhen, sensor node is direct
The train rail state-detection data of acquisition are transferred to aggregation node；
(2) sensor node is more than preset apart from lower limit W at a distance from aggregation nodeminWhen, sensor node will acquire
Train rail state-detection data aggregation node is transferred to by way of multi-hop.
In a kind of mode of preferred implementation, each sensor node passes through exchange acquisition of information neighbor node mark and position
Information, wherein neighbor node is the other sensors node in sensor node transmission range；Sensor node is by acquisition
Train rail state-detection data are transferred to aggregation node by way of multi-hop, comprising:
(1) sensor node of acquisition train rail state-detection data is set as source node, and source node determines it to remittance
The total hop count a of the transmission of poly- node；
(2) source node generate data packet, data packet include the mark of the source node, train rail state-detection data packet with
And hop count device, the initial value of the hop count device are the total hop count of transmission that source node determines, the train rail state-detection
Data packet includes source node train rail state-detection data collected；
(3) source node randomly chooses destination node of the neighbor node as the jump in its neighbor node, by data
Packet is sent to the destination node of the jump；
(4) after destination node receives data packet, the data packet is updated, comprising: by the hop count device in data packet
Value subtracts one, and the train rail state-detection data of itself acquisition are stored in the train rail state-detection data in data packet
Packet；
(5) using destination node as the source node of next-hop, (3), (4) are repeated, until the data that destination node receives
The value of hop count device in packet is 1；The destination node that the value of hop count device in the data packet received is 1, by itself
After train rail state-detection data packet in the train rail state-detection data deposit data packet of acquisition, by train rail shape
State detection data packet is sent directly to aggregation node.
Wherein, the determination formula of total hop count a is transmitted are as follows:
In formula, Wi,oFor the distance of source node i to aggregation node, Wb,oIt is saved for b-th of sensor node in network to convergence
The distance of point, H are the sensor node quantity in network,For bracket function, expression pairIt is rounded.
The present embodiment proposes sensor node and passes the train rail state-detection data of acquisition by way of multi-hop
It is handed to the routing mechanism of aggregation node, which determines transmission train rail shape according to the distance of source node to aggregation node
The total hop count of the transmission of state detection data, and determine based on the mode of random walk the destination node of next-hop.Pass through the router
System carries out the multi-hop transmission of train rail state-detection data, simple and convenient, and can limit the length of transmission path, avoids
Because the mode of random walk causes to bring meaningless energy consumption due to path is too long, the number of train rail abnormality detection system is saved
According to acquisition cost.
In a kind of mode that can be realized, if source node is no more than cooperation apart from lower limit at a distance from the destination node
Wp-minWhen, source node directly sends data packets to the destination node of the jump；If source node is more than at a distance from the destination node
Cooperation is apart from lower limit Wp-minWhen, source node more directly transmits the energy consumption of data packet mode and the energy of cooperation transmission data packet mode
Consumption, if the energy consumption for directly transmitting data packet mode is minimum, source node directly sends data packets to the destination node of the jump, otherwise
The destination node of the jump is sent data packets to using cooperation transmission data packet mode；Wherein source node sends data packets to this
When the destination node of jump, cooperation is calculated according to the following formula apart from lower limit Wp-min:
In formula, T is monitoring region area, and H is the sensor node quantity in network, and F is the transmission radius of source node；
The present embodiment sets the specific transmission mechanism that source node transmits data packet to destination node, wherein source node is arrived
The distance of destination node is compared with cooperation apart from lower limit, and data are more directly transmitted when distance is higher than cooperation apart from lower limit
The energy consumption of packet mode and the energy consumption of cooperation transmission data packet mode, and the minimum transmission mode of selection energy consumption carries out data packet always
Transmission.
The present embodiment can more ensure that data packet passes relative to by way of the progress data packet transmission of single transmission mode
Defeated reliability, and relative to only cooperation transmission mode carry out data packet transmission by way of, due to selecting energy consumption always most
Low transmission mode carries out the transmission of data packet, can further decrease the energy consumption of train rail state-detection data transmission；This
Embodiment further gives the calculation formula apart from lower limit of cooperating, relative to the mode of subjectively preset threshold, cooperation away from
Determination more closing to reality situation from lower limit.
In a kind of mode that can be realized, source node calculates each neighbour after obtaining neighbor node mark and location information
The weight of node is occupied, and each neighboring node list is ranked up according to the descending sequence of weight, building neighbor node column
Table；Source node sends data packets to the destination node of the jump using cooperation transmission data packet mode, specific to execute: source node to
Preceding 3 neighbor nodes broadcast collaboration message of neighboring node list, preceding 3 neighbor nodes receive after cooperation message to source node
Cooperation confirmation message is fed back, source node selects the neighbor node for feeding back cooperation confirmation message at first as cooperative node, by data
Packet is sent to the cooperative node, and the destination node of the jump is sent data packets to by the cooperative node；
In the present embodiment, preceding 3 neighbor node broadcast collaboration message of the source node to neighboring node list, preceding 3 neighbours
It occupies node and receives and feed back cooperation confirmation message to source node after cooperation message, cooperation confirmation message is fed back in source node selection at first
Neighbor node sends data packets to the cooperative node as cooperative node, can the cooperative node selected of effective guarantee it is reliable
The task of cooperation transmission train rail state-detection data, and the mode relative to random selection cooperative node are completed, it is more beneficial
In the energy consumption for saving cooperation transmission train rail state-detection data, to further save train rail abnormality detection system
Data collection cost.
Wherein, if DijFor the weight of j-th of neighbor node of source node i, DijCalculation formula are as follows:
In formula, GjFor the current remaining of j-th of neighbor node, GminTo preset minimum energy value, Wi,jFor source
At a distance from j-th of neighbor node of node i and its, s1For the preset energy weight factor, s2For the preset distance weighting factor.
The present embodiment sets the weight computing formula of neighbor node, by the calculation formula it is found that dump energy is more, position
The bigger neighbor node of advantage is set with bigger weight.Source node in advance saves each neighbours according to the sequence of weight from big to small
Point is arranged, and avoids wasting time in the calculating of transmission train rail state-detection data phase progress weight.
Finally it should be noted that the above embodiments are merely illustrative of the technical solutions of the present invention, rather than the present invention is protected
The limitation of range is protected, although explaining in detail referring to preferred embodiment to the present invention, those skilled in the art are answered
Work as understanding, it can be with modification or equivalent replacement of the technical solution of the present invention are made, without departing from the reality of technical solution of the present invention
Matter and range.
Claims (6)
1. train rail abnormality detection system, characterized in that include:
Detection module obtains train rail state-detection data for detecting to train rail state；
Anomaly analysis module, including comparing unit and anomaly analysis unit, comparing unit are used to examine the train rail state
Measured data is compared with calibration range；Anomaly analysis unit is used to exceed the mark when the train rail state-detection data
When determining range, determine that the train rail state-detection data are abnormal；
Warning module is visualized, for generating warning message after determining that the train rail state-detection data are exception,
And show the warning message.
2. train rail abnormality detection system according to claim 1, characterized in that the detection module includes convergence
Node and multiple sensor nodes, multiple sensor nodes acquire train rail state-detection data, and aggregation node convergence is multiple
The train rail state-detection Data Concurrent of sensor node is sent to the anomaly analysis module.
3. train rail abnormality detection system according to claim 1, characterized in that the sensor node includes ultrasound
Wave sensor and pressure sensor, ultrasonic sensor, pressure sensor periodically examine its corresponding train rail
It surveys.
4. train rail abnormality detection system according to claim 3, characterized in that the comparing unit passes ultrasonic wave
The ultrasonic signal of sensor acquisition is compared with the first calibration range, and first calibration range is for stating ultrasonic signal
Attenuation range；Also the pressure information that pressure sensor acquires is compared with the second calibration range for the comparing unit, described
Second calibration range is for stating pressure information variation range.
5. train rail abnormality detection system according to claim 2, characterized in that sensor node gets train rail
After road state-detection data, train rail state-detection data are transferred to aggregation node, comprising:
(1) sensor node is no more than preset apart from lower limit W at a distance from aggregation nodeminWhen, sensor node will directly be adopted
The train rail state-detection data of collection are transferred to aggregation node；
(2) sensor node is more than preset apart from lower limit W at a distance from aggregation nodeminWhen, sensor node is by the column of acquisition
Track road state-detection data are transferred to aggregation node by way of multi-hop.
6. train rail abnormality detection system according to claim 5, characterized in that each sensor node passes through exchange letter
Breath obtains neighbor node mark and location information, and wherein neighbor node is the other sensors in sensor node transmission range
Node；The train rail state-detection data of acquisition are transferred to aggregation node by sensor node by way of multi-hop, comprising:
(1) sensor node of acquisition train rail state-detection data is set as source node, and source node determines it to convergence section
The total hop count a of transmission of point；
(2) source node generates data packet, and data packet includes the mark of the source node, train rail state-detection data packet and jump
Counter, the initial value of the hop count device are the total hop count of transmission that source node determines, the train rail state-detection data
Packet includes source node train rail state-detection data collected；
(3) source node randomly chooses destination node of the neighbor node as the jump in its neighbor node, and data packet is sent out
It send to the destination node of the jump；
(4) after destination node receives data packet, the data packet is updated, comprising: subtract the value of the hop count device in data packet
One, and by itself acquisition train rail state-detection data deposit data packet in train rail state-detection data packet；
(5) using destination node as the source node of next-hop, (3), (4) are repeated, until in the data packet that destination node receives
Hop count device value be 1；The destination node that the value of hop count device in the data packet received is 1, itself is acquired
Train rail state-detection data deposit data packet in train rail state-detection data packet after, train rail state is examined
Measured data packet is sent directly to aggregation node.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201811128846.8A CN109278794B (en) | 2018-09-27 | 2018-09-27 | Train track abnormity detection system |
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|---|---|---|---|
| CN201811128846.8A CN109278794B (en) | 2018-09-27 | 2018-09-27 | Train track abnormity detection system |
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| CN109249956A (en) * | 2018-10-17 | 2019-01-22 | 深圳众宝城贸易有限公司 | Train rail real-time radio detection system |
| CN114633774A (en) * | 2022-03-30 | 2022-06-17 | 东莞理工学院 | Rail transit fault detection system based on artificial intelligence |
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