CN106660570B - Train formation recognition apparatus and train formation recognition system - Google Patents
Train formation recognition apparatus and train formation recognition system Download PDFInfo
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- CN106660570B CN106660570B CN201580045286.8A CN201580045286A CN106660570B CN 106660570 B CN106660570 B CN 106660570B CN 201580045286 A CN201580045286 A CN 201580045286A CN 106660570 B CN106660570 B CN 106660570B
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- 230000015572 biosynthetic process Effects 0.000 title claims abstract description 69
- 238000004891 communication Methods 0.000 claims abstract description 35
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- 230000000875 corresponding effect Effects 0.000 description 55
- 238000012545 processing Methods 0.000 description 49
- 230000033001 locomotion Effects 0.000 description 31
- 230000002596 correlated effect Effects 0.000 description 11
- 239000000284 extract Substances 0.000 description 5
- 238000012423 maintenance Methods 0.000 description 4
- 238000000034 method Methods 0.000 description 4
- 238000012544 monitoring process Methods 0.000 description 4
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Classifications
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B61—RAILWAYS
- B61L—GUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
- B61L3/00—Devices along the route for controlling devices on the vehicle or train, e.g. to release brake or to operate a warning signal
- B61L3/02—Devices along the route for controlling devices on the vehicle or train, e.g. to release brake or to operate a warning signal at selected places along the route, e.g. intermittent control simultaneous mechanical and electrical control
- B61L3/08—Devices along the route for controlling devices on the vehicle or train, e.g. to release brake or to operate a warning signal at selected places along the route, e.g. intermittent control simultaneous mechanical and electrical control controlling electrically
- B61L3/12—Devices along the route for controlling devices on the vehicle or train, e.g. to release brake or to operate a warning signal at selected places along the route, e.g. intermittent control simultaneous mechanical and electrical control controlling electrically using magnetic or electrostatic induction; using radio waves
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B61—RAILWAYS
- B61L—GUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
- B61L27/00—Central railway traffic control systems; Trackside control; Communication systems specially adapted therefor
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- Engineering & Computer Science (AREA)
- Mechanical Engineering (AREA)
- Train Traffic Observation, Control, And Security (AREA)
- Electric Propulsion And Braking For Vehicles (AREA)
Abstract
The train formation recognition apparatus of embodiments of the present invention has communication unit and determination unit.Communication unit obtains information of vehicles, and the information of vehicles is from multiple train marshalling lists by transmitting wirelessly, and the identification information and location information of at least one vehicle including including in the multiple train marshalling list.At least described identification information and the location information that determination unit is obtained according to the communication unit determine the connection status of at least one vehicle.
Description
Technical field
Embodiments of the present invention are related to train formation recognition apparatus and train formation recognition system.
Background technique
The wiring communication cable between each vehicle is proposed in the past, and defeated using the input that the communication cable of wiring carries out signal
Out, to automatically identify the technical solution of the marshalling of train.However, needing to be routed between each vehicle in previous technology
Communication cable, there is the lower situations of convenience when automatically identifying the marshalling of train.
Citation
Patent document
Patent document 1: Japanese Unexamined Patent Publication 2013-42608 bulletin
Summary of the invention
The technical problems to be solved by the invention
The technical problem to be solved by the invention is to provide a kind of higher train formation recognition apparatus of convenience and column
Vehicle organizes into groups identifying system.
Solution for solving technical problems
The train formation recognition apparatus of embodiments of the present invention has communication unit and determination unit.Communication unit obtains vehicle letter
Breath, the information of vehicles are from multiple train marshalling lists by wireless transmission, and including including in the multiple train marshalling list
The identification information and location information of at least one vehicle.At least described identification information that determination unit is obtained according to the communication unit with
The location information determines the connection status of at least one vehicle.
Detailed description of the invention
Fig. 1 is the structure chart of the train formation recognition system 1 of embodiment.
Fig. 2 is the functional structure chart of the vehicle 10 of embodiment.
Fig. 3 is the functional structure chart of the train formation recognition apparatus 30 of embodiment.
Fig. 4 is the functional structure chart of the central management device 100 of embodiment.
Fig. 5 is the flow chart for showing the process of the processing executed by the train formation recognition apparatus 30 of embodiment.
Fig. 6 is the figure for showing information of vehicles, train marshalling list information and correlated condition information.
Fig. 7 is the figure for showing the various correlation tables used in establishment/releasing processing.
Fig. 8 is the figure for showing consider the speed of train marshalling list 10-n, alternate position spike with the corresponding trend of score.
Fig. 9 be show consider the speed of train marshalling list 10-n, alternate position spike with become best result region it is corresponding become
The figure of gesture.
Figure 10 is the speed that example goes out to consider vehicle (or train marshalling list), gun parallax figure corresponding with score.
Figure 11 is the figure for showing train marshalling list management information.
Figure 12 is the figure for showing the historical record and the degree of correlation number acquired at each time point of past information of vehicles.
Figure 13 is the figure for showing picture shown by the display unit of electrical management device 110.
Specific embodiment
In the following, the train formation recognition system 1 referring to attached drawing, to the train formation recognition apparatus 30 for having imported embodiment
It is illustrated.Fig. 1 is the structure chart of the train formation recognition system 1 of embodiment.Train formation recognition system 1 is compiled including train
Group identification device 30 and multiple vehicles (are vehicle 10-1-1, vehicle 10-1-2, vehicle 10-1-3, vehicle 10-2-1, vehicle in figure
10-2-2, vehicle 10-3-1).The processing by performing the following instructions of train formation recognition apparatus 30, by vehicle 10-1-1, vehicle
10-1-2 and vehicle 10-1-3 are identified as a train marshalling list (train marshalling list 10-1), and vehicle 10-2-1 and vehicle 10-2-2 is known
Not Wei a train marshalling list (train marshalling list 10-2), vehicle 10-3-1 is identified as a train marshalling list (train marshalling list 10-3).
In addition, being only expressed as vehicle 10 when which vehicle is not distinguished is below.
Train formation recognition system 1 for example has vehicle 10, antenna 20-1,20-2 and train formation recognition apparatus 30.
Vehicle 10 is for example communicated by antenna 20-1,20-2 with train formation recognition apparatus 30.Vehicle 10 and antenna 20-1,
It is carried out wireless communication between 20-2, the wire communication by industrial siding or common line is for example carried out between antenna 20-1,20-2.
In addition, train formation recognition apparatus 30 and central management device 100 for example carry out the communication by network N W, to receive and dispatch letter
Breath.Network N W is the network of internet or LAN (Local Area Network: local area network), mobile telephone network etc..
Fig. 2 is the functional structure chart of the vehicle 10 of embodiment.Vehicle 10 for example has vehicle communication portion 12, position and determines
Portion 14 and control unit 16.Vehicle communication portion 12 is communicated with train formation recognition apparatus 30.It vehicle communication portion 12 will be by position
The signal for setting determining section 14 or the output of control unit 16 is sent to train formation recognition apparatus 30.In addition, vehicle communication portion 12 takes
Obtain the signal sent by train formation recognition apparatus 30.
Position determining portions 14 for example receives the position that vehicle 10 is determined by information that satellite is sent.Position determining portions 14
Such as by being set from multiple GPS (Global Positioning System: global positioning system) satellite reception electric wave line position of going forward side by side
Operation is measured, so that it is determined that the position of (calculating) vehicle 10.In addition, position determining portions 14 can also pass through other methods, example
Combine INS (Inertial Navigation System: inertial navigation system) and line construction such as to determine the position of oneself,
The position of oneself can also be obtained from fixed station by wireless communication.
The position for the vehicle 10 that control unit 16 is determined according to position determining portions 14, the vehicle-state obtained in vehicle 10 are believed
It ceases and from the received information of train formation recognition apparatus 30, monitors and control vehicle 10.Control unit 16 is, for example, TCMS
(Train Control Monitoring System: Train Control monitoring system).Car status information is for example including vehicle
Information that movement speed, motion direction etc. are measured by the instrument that vehicle has, vehicle are made using electric power, vehicle arrangement
With situation, braking and mode of operation of acceleration etc..In addition, control unit 16 uses vehicle communication portion 12 to train formation recognition apparatus
30 send the position (hereinafter referred to as location information) of vehicle 10 that position determining portions 14 determine, above-mentioned car status information and with
The monitoring and the related information of control of vehicle.Monitoring and the related information of control with vehicle include being led according to car status information
Out the result of the state of vehicle, control unit 16 according to information of vehicles control vehicle state when control content, control result with
And the information etc. obtained during the processing for being controlled.
Fig. 3 is the functional structure chart of the train formation recognition apparatus 30 of embodiment.Train formation recognition apparatus 30 has
Communication unit 32, determination unit 34, prediction section 36 and storage unit 38.Communication unit 32 is carried out by antenna 20-1,20-2 and vehicle 10
Communication.Determination unit 34 and prediction section 36 are software function portions, the CPU having by train formation recognition apparatus 30
Processors such as (Central Processing Unit: central processing unit) execute the program that is stored in storage unit 38 to play
Its function.In addition, these function parts be also possible to LSI (Large Scale Integration: large scale integrated circuit) or
The hardware capability portion of ASIC (Application Specific Integrated Circuit: specific integrated circuit) etc..Determine
Portion 34 identifies vehicle according to prediction result, the information being stored in storage unit 38 etc. of the information, prediction section 36 that are sent by vehicle 10
10 train marshalling list.Determination unit 34 will identify the processing result of the train marshalling list of vehicle 10 and obtain during the treatment
To information store into storage unit 38.In addition, the signal exported by determination unit 34 is sent to vehicle 10 using communication unit 32.
Prediction section 36 according to sent by vehicle 10 information, determination unit 34 identify vehicle 10 train marshalling list processing knot
It fruit, the information obtained during the treatment or is stored in corresponding to each other with the identification information of vehicle 10 or train marshalling list
Information in storage unit 38 predicts position, the movement speed, shifting in the future of train marshalling list 10-1,10-2,10-3 and vehicle 10
Dynamic orientation.
Storage unit 38 for example passes through HDD (Hard Disc Drive: hard disk drive), flash memory, EEPROM
(Electrically Erasable Programmable Read Only Memory: the read-only storage of electric erasable and programmable program
Device), ROM (Read Only Memory: read-only memory) or RAM (Random Access Memory: random access memory
Device) etc. realize.In addition, storage unit 38 stores the result etc. of the processing of the various programs such as firmware or application program and CPU execution.
The information (information of vehicles) that such as train car marshalling identification device 30 is obtained from vehicle 10 in storage unit 38.Information of vehicles example
Information is mutual at the time ofs the identification information of vehicle 10, position, speed, traveling orientation and sending instant or the time of reception etc. in this way
The information being mapped.In addition, information of vehicles also may include the operation information of vehicle 10, the specification of vehicle 10, vehicle 10
Safeguard information, train marshalling list information etc..The operation information of vehicle 10 is to indicate the scheduled information of the operation of vehicle 10, for example including
The train marshalling list of predetermined connection, destination, pathway, set out predetermined instant or arrival predetermined instant etc..The specification of vehicle 10 is
Indicate the information of the technical characteristic of vehicle 10, maximum speed for example including vehicle 10 corresponding with the speed of vehicle 10 disappears
Power consumption power etc..The maintenance information of vehicle 10 includes the date-time for having been carried out maintenance of vehicle 10, the pre- settled date of maintenance and dimension
The implementation content etc. of shield.Information of vehicles can be stored in advance in storage unit 38.In addition, information of vehicles can also be from other devices
Train formation recognition apparatus 30 is sent to by communication.Other devices are, for example, central management device 100.In addition, other devices
It is also possible to that network N W can be connected and is capable of providing the device of information of vehicles, replaces central management device 100.
Train marshalling list information for example including with constitute the corresponding information of the vehicle of train marshalling list, train marshalling list position,
Movement speed, motion direction, the operation of train marshalling list be predetermined, other information related with train marshalling list.The position of train marshalling list,
Movement speed or motion direction for example can be the information of vehicles for the vehicle 10 for including in train marshalling list.In this case,
Such as the information of vehicles of the information of vehicles of the vehicle 10 for the foremost for including in train marshalling list and the vehicle 10 at rear can be made
For train marshalling list information.In addition, train marshalling list information can correspondingly be stored in composition train with the identification information of vehicle 10
In the vehicle 10 of marshalling, and train formation recognition apparatus 30 is sent to by communication, can also be stored in advance in storage unit 38,
It can also be obtained by train formation recognition apparatus 30 from central management device 100.Further, judgement is stored in storage unit 38
Portion 34 carry out the correlated condition information of reference when train marshalling list identifying processing, expression score corresponding to degree of correlation it is related
The historical record of table and past information of vehicles, the degree of correlation number acquired at each time point etc..
Fig. 4 is the functional structure chart of the central management device 100 of embodiment.Central management device 100 has power pipe
Manage device 110, Vehicle preparation managing device 120 and operation management apparatus 130.Electrical management device 110 obtains train marshalling list
The processing result that identification device 30 executes or the information being stored in storage unit 38, to carry out electrical management.Electrical management dress
Set 110 for example determine travel on specified interval train marshalling list electric power consumption whether be more than the specified interval electric power supply
To the upper limit of amount, and it will determine that result is output to display unit.Vehicle preparation managing device 120 obtains train formation recognition apparatus 30
The processing result of execution or the information being stored in storage unit 38, with extract need to carry out train marshalling list reorganize and outfit schedule tune
Train marshalling list or vehicle whole and reorganize and outfit.Operation management apparatus 130 obtains the processing knot that train formation recognition apparatus 30 executes
Fruit or the information being stored in storage unit 38, to monitor the operation conditions of train marshalling list 10-1,10-2,10-3, vehicle 10.
In the following, being illustrated in further detail to the processing of the train formation recognition apparatus of embodiment 30.Fig. 5 is to show
The flow chart of the process of the processing executed by the train formation recognition apparatus 30 of embodiment.The processing of this flow chart is for example with rule
Fixed cycle (be spaced 5 minutes etc.) execute repeatedly.
First, it is determined that portion 34 carries out relevant treatment (step S100) referring to storage unit 38.
Relevant treatment is following processing: determining the train marshalling list of synchronization and the correlativity of vehicle, and extracts
It is possibly connected to the candidate vehicle of train marshalling list.Position, the speed of train marshalling list and vehicle are used in the judgement of correlativity
Degree, orientation or other information of vehicles.
Relevant treatment is illustrated using Fig. 6.Fig. 6 is to show information of vehicles, train marshalling list information and correlated condition
The figure of information.(a) of Fig. 6 is the information for showing train formation recognition apparatus 30 and obtaining from vehicle 10-1-3 and vehicle 10-3-1
Figure.(b) of Fig. 6 is the train marshalling list for showing train formation recognition apparatus 30 and obtaining from train marshalling list 10-1 and train marshalling list 10-2
The figure of information.(c) of Fig. 6 is the figure for showing correlated condition information.
(a) of Fig. 6 shows a part of the information of vehicles about vehicle 10-1-3 and vehicle 10-3-1.In figure, " vehicle
ID " is the identiflication number of the vehicle 10 correspondingly assigned with each vehicle." moment " is at the time of obtaining information from vehicle.
" position " is latitude (north latitude), longitude (east longitude) locating for vehicle at the time of obtaining information." speed (km/h) " is to obtain
The movement speed of vehicle at the time of information." motion direction " is the orientation that vehicle is mobile at the time of obtaining information." other "
It is other information of vehicles corresponding with the identification information of vehicle, e.g. prespecified operation information (is known with vehicle ID
Not Bian Hao) specification of corresponding vehicle or train marshalling list information etc..Due to obtaining these information of vehicles with specified period, because
This, for example, " position ", " speed ", " motion direction ", " other " information of vehicles with obtain information at the time of corresponds to each other store
In storage unit 38.In addition it is also possible to according to " position " and " moment " of different moments, by judging part 34 calculate " speed ",
" motion direction ".
(b) of Fig. 6 shows a part of the train marshalling list information of train marshalling list 10-1 and train marshalling list 10-2.It " compiles
Group ID " is the identiflication number of the train marshalling list correspondingly assigned with train marshalling list.
" moment " is at the time of obtaining information from vehicle etc.." position " is at the time of obtaining information locating for train marshalling list
Latitude (north latitude), longitude (east longitude)." speed (km/h) " is the movement speed of train marshalling list at the time of obtaining information.It " moves
Dynamic orientation " is the orientation that train marshalling list is mobile at the time of obtaining information." other " are opposite with the identification information of train marshalling list
The information answered is operation information, specification, maintenance information, the information of vehicles for constituting train marshalling list of train marshalling list etc..Due to rule
Fixed cycle obtains these train marshalling list information, and therefore " position ", " speed ", " motion direction ", " other " information and information obtain
At the time of correspond to each other be stored in storage unit 38.In addition it is also possible to according to " position " and " moment " of different moments, by arranging
Vehicle marshalling identification device 30 calculates " speed ", " motion direction ".
Correlated condition information shown in (c) of Fig. 6 be determine vehicle whether be candidate as train marshalling list vehicle
When the condition that uses.In (c) of Fig. 6, show for extracting the candidate vehicle for being possible to connect with train marshalling list 10-1,10-2
Correlated condition.For example, being judged to being possible to the correlated condition for the candidate vehicle connecting with train marshalling list 10-1 are as follows: vehicle exists
12:00 is located within the radius 3km of train marshalling list 10-1 at the time of shown in " moment range ", translational speed difference within 25km,
And motion direction difference is within 45 degree.
The information of vehicles that determination unit 34 is obtained referring to communication unit 32 or the information of vehicles (Fig. 6 being stored in storage unit 38
(a)), train marshalling list information ((b) of Fig. 6), correlated condition ((c) of Fig. 6) carry out relevant treatment, and extract the company of being possible to
It is connected to the candidate vehicle of train marshalling list.The specific steps of relevant treatment are illustrated.
Candidate vehicle extraction related with vehicle 10-1-3 and train marshalling list 10-1 processing is illustrated.First, it is determined that
Portion 34 calculates vehicle 10-1-3 and train marshalling list according to vehicle 10-1-3 and the respective latitude of train marshalling list 10-1 and longitude
The distance of 10-1, if distance in the position range, using vehicle 10-1-3 as being possibly connected to train marshalling list 10-1
Candidate vehicle retained, if be not in position range, excluded from candidate vehicle.Here, position range is column
Vehicle organizes into groups the radius " 3km " of 10-1, and vehicle 10-1-3 is " 0.3km " at a distance from train marshalling list 10-1, therefore vehicle 10-1-
3 are retained as the candidate vehicle for being possibly connected to train marshalling list 10-1.
Next, determination unit 34 calculates speed according to the movement speed of vehicle 10-1-3 and the movement speed of marshalling 10-1
It is poor to spend.Determination unit 34 determines whether the speed difference of vehicle 10-1-3 and train marshalling list 10-1 are in velocity interval, if be in
In velocity interval, then retained vehicle 10-1-3 as the candidate vehicle for being possibly connected to train marshalling list 10-1, if
It is not in velocity interval, is then excluded from candidate vehicle.Here, velocity interval is " 25km ", and vehicle 10-1-3 and train
The speed difference for organizing into groups 10-1 is " 0km ", therefore vehicle 10-1-3 is judged as being possibly connected to the candidate of train marshalling list 10-1
Vehicle.
Then, it is determined that portion 34 calculates orientation according to the motion direction of vehicle 10-1-3 and the motion direction of marshalling 10-1
Difference.Determination unit 34 determines whether the speed difference of vehicle 10-1-3 and train marshalling list 10-1 are in bearing range, if in side
In the range of position, then vehicle 10-1-3 is determined as being possibly connected to the candidate vehicle of train marshalling list 10-1, if the side of being not at
In the range of position, then excluded from candidate vehicle.Here, bearing range is " 45 degree ", and vehicle 10-1-3 and train marshalling list 10-1
Gun parallax be " 0 degree ", therefore vehicle 10-1-3 is confirmed as being possibly connected to the candidate vehicle of train marshalling list 10-1.Separately
Outside, vehicle 10-3-1 is also similarly handled, it is determined whether as being possibly connected to train marshalling list 10-1's
Candidate vehicle.
In the example of fig. 6, determination unit 34 according to the position of train marshalling list 10-1,10-2 and vehicle 10-1-3,10-3-1,
Vehicle 10-1-3,10-3-1 are determined as being possibly connected to the candidate vehicle of train marshalling list 10-1,10-2 by speed, orientation.This
Outside, it can be changed as appropriate as " position range " of correlated condition, " velocity interval ", " bearing range ", phase also can be used
A part of pass condition is made whether the judgement as candidate vehicle.In addition, determination unit 34 can also add other vehicles
Information determines whether as candidate vehicle.For example, achieving movement speed from vehicle 10 as information related with speed
" speed per hour 100km ", still, in the related information of specification stored with corresponding to each other with vehicle ID and vehicle, F-Zero
When being stored as 80km, determination unit 34 can be determined that not being inconsistent with candidate vehicle.
Next, determination unit 34 referring for example to be stored in storage unit 38 information of vehicles, train marshalling list information, correlation
Table executes establishment/releasing processing (step S102).In establishment/releasing processing, it is possible to what is extracted in relevant treatment
It is connected to the candidate vehicle of train marshalling list and the relevance scores (numeralization) of train marshalling list, is being more than or equal to defined score
In the case where (numerical value), it is determined as that candidate train is connected to train marshalling list (establishing processing).In addition, being less than defined score
In the case where (numerical value), determination unit 34 is determined as that candidate train is not attached to train marshalling list or has released connection (at releasing
Reason).Furthermore, it is possible to make to establish " defined score " that " defined score " in handling is greater than in releasing processing, to prevent
Oscillation.
Fig. 7 is the figure for showing the various correlation tables used in establishment/releasing processing.In correlation table, information of vehicles with
Alternate position spike, speed difference, gun parallax and the score of train marshalling list information correspond to each other.(a) of Fig. 7 shows vehicle and train marshalling list
Alternate position spike and the mutual corresponding position correlation table of score.(b) of Fig. 7 shows the speed difference and score of vehicle and train marshalling list
Mutual corresponding speed correlation table.(c) of Fig. 7 shows the gun parallax and the mutual corresponding orientation of score of vehicle and train marshalling list
Correlation table.
Correlation table is corresponding with score suitably to be changed.Such as, it may be considered that in vehicle 10 and train marshalling list 10-n
The speed of any one or both, change of location difference are corresponding with score.Fig. 8 is to show the speed for considering train marshalling list 10-n
Degree, alternate position spike and the corresponding trend of score figure.(a) of Fig. 8 be show train marshalling list 10-n speed be speed per hour 10km when
Alternate position spike and the figure of the corresponding trend of score, (b) of Fig. 8 is the position shown when the speed of train marshalling list 10-n is speed per hour 60km
Set difference and the figure of the corresponding trend of score.In addition, (c) of Fig. 8 is shown when the speed of train marshalling list 10-n is speed per hour 90km
The figure of alternate position spike and the corresponding trend of score.
As shown in figure 8, in the slow situation of train marshalling list 10-n, even if the traveling side with train marshalling list 10-n
Alternate position spike to orthogonal direction is larger, and corresponding score is also set higher, and works as the direction of travel of train marshalling list 10-n
Alternate position spike it is larger when, corresponding score is set low.On the other hand, the fast speed of train marshalling list 10-n the case where
Under, when the alternate position spike in the direction orthogonal with the direction of travel of train marshalling list 10-n is smaller, corresponding score is set low,
And even if the alternate position spike of the direction of travel of train marshalling list 10-n is larger, corresponding score is also set higher.
Fig. 9 be show consider the speed of train marshalling list 10-n, alternate position spike with become best result region it is corresponding become
The figure of gesture.The line of V0 shown in Fig. 9 to V90 indicates that score corresponding with each movement speed of train marshalling list 10-n is highest
Divide the region of (10 points).V0 to V90 is corresponding with the movement speed of train marshalling list respectively.For example, V0 is the speed of train marshalling list
The region of best result in the state of stopping for speed per hour 0km, i.e. train marshalling list, V10 are that train marshalling list is mobile with speed per hour 10km
The region of best result under state.In this way, train marshalling list 10-n is just in the faster situation of movement speed of train marshalling list 10-n
It is higher a possibility that being travelled in a manner of close to straight trip, therefore do not allow the position in the presence of the direction orthogonal with direction of travel
Difference, and in the case where the movement speed of train marshalling list 10-n is relatively slow, it is possible to the side to be become larger with the curvature of motion track
Formula is mobile, therefore can make alternate position spike and score phase to allow the trend of the alternate position spike in the presence of the direction orthogonal with direction of travel
It is mutually corresponding.
Figure 10 is the speed that example goes out to consider vehicle (or train marshalling list), gun parallax figure corresponding with score.
The longitudinal axis in Figure 10 indicates the speed of vehicle, and horizontal axis indicates gun parallax.
For example, when the movement speed of train marshalling list is slower, even if the traveling side of the direction of travel of vehicle and train marshalling list
To gun parallax it is larger, indicate that the score of relevant degree also maintains higher.On the other hand, in the movement speed of train marshalling list
When very fast, if the gun parallax of the direction of travel of the direction of travel and train marshalling list of vehicle is larger, then it represents that relevant degree
Score declines lower.In this way, it may be considered that the speed of vehicle and train marshalling list information make gun parallax in orientation correlation table with
Score corresponds to each other.
Determination unit 34 generates train marshalling list management information during carrying out establishment/releasing processing.Figure 11 is to show column
The figure of vehicle marshalling management information.In figure, " marshalling ID " is compiled with the identification that the train marshalling list that vehicle is connected correspondingly assigns
Number.Such as in the case where determination unit 34 carries out establishment/releasing and handles and be judged to multiple vehicles being considered as a train marshalling list,
" marshalling ID " is correspondingly assigned with train marshalling list.It handles and is determined as in addition, for example carrying out following management in determination unit 34
In the case that one vehicle is considered as a train marshalling list, " marshalling ID " is also correspondingly assigned with the train marshalling list (vehicle).
" moment " is at the time of generating train marshalling list management information.
Predictive information includes position by the future of the train marshalling list of (following) predictions of prediction section 36, movement speed, movement
Orientation." related train ID1 " is to be determined as identiflication number that the vehicle of candidate vehicle correspondingly assigns with by relevant treatment.
" degree of correlation number 1 " is to indicate train marshalling list 10-1 or train marshalling list 10-2 and vehicle corresponding with associated vehicle ID1
The numerical value (score) of the degree of correlation of 10-1-3." associated vehicle ID2 " is to be compiled with the identification that vehicle 10-1-3 is correspondingly assigned
Number." degree of correlation number 2 " is to indicate train marshalling list 10-1 or train marshalling list 10-2 and corresponding with " associated vehicle ID2 "
The numerical value (score) of the degree of correlation of vehicle 10-3-1.It is higher that degree of correlation number shows the bigger degree of correlation of numerical value.
It is illustrated in the calculating for carrying out degree of correlation number used in establishment/releasing processing." degree of correlation number " example
Score corresponding with the alternate position spike of associated vehicle and train marshalling list, speed difference, motion direction difference is total in this way.Figure 11's
In example, score corresponding with the alternate position spike of train marshalling list ID " 10-1 " and associated vehicle ID1 " 10-1-3 " is " 10 ", with speed
The corresponding score of degree difference is " 10 ", and score corresponding with gun parallax is " 10 ".Determination unit 34 is closed to these scores
Count and obtain on score " 30 ", and in Fig. 6 other columns score " 10 points ", " 9 points ", and will total " 49 " conduct " related journey
Degree 1 " calculates.In addition, the score " 10 points " on other columns is associated vehicle 10-1-3 and train marshalling list 10-1 in Fig. 6
Past degree of correlation number, at the time of being stored in storage unit 38 " 12:00 " in the past at the time of degree of correlation score.Separately
Outside, in Fig. 6, the score " 9 points " on other columns is to be connected to column according to a part of past degree of correlation number, in advance by vehicle 10
The predetermined information of vehicles and the calculated score of train marshalling list information waited of vehicle marshalling.
It is also similarly handled with marshalling ID " 10-1 " corresponding " degree of correlation number 2 ", calculates " degree of correlation
Number 2 ".Determination unit 34 is to score corresponding with alternate position spike " 4 ", score corresponding with speed difference " 7 ", corresponding with gun parallax
Score " 10 " added up to, calculate the degree of correlation number 2 for indicating the degree of correlation of train marshalling list 10-1 and vehicle 10-3-1
For " 21 ".
In addition, also similarly being handled degree of correlation number corresponding with marshalling ID " 10-2 ", " related journey is calculated
Degree 1 ", " degree of correlation number 2 ".Determination unit 34 is to score " 6 " corresponding with alternate position spike, score corresponding with speed difference
" 7 ", score corresponding with gun parallax " 2 " are added up to, and calculating indicates that train marshalling list 10-1 is related to vehicle 10-3-1's
" the degree of correlation number 1 " of degree is " 15 ".Next, determination unit 34 obtains score " 1 " corresponding with alternate position spike and speed difference
Corresponding score " 10 ", score corresponding with gun parallax " 2 ", calculating indicates that train weaves into 10-1's and vehicle 10-3-1
" the degree of correlation score 2 " of degree of correlation is " 13 ".
Determination unit 34 from marshalling ID " 10-1 " corresponding " degree of correlation number 1 " and " degree of correlation number 2 " and with volume
Highest score is extracted in group ID " 10-2 " corresponding " degree of correlation number 1 " and " degree of correlation number 2 ".Then, it is determined that portion
34 determine whether degree of correlation number has been more than preset threshold value.As a result, determination unit 34 determine vehicle whether with train marshalling list
Connection.
Determination unit 34 extracts degree of correlation number 1 " 49 " corresponding with marshalling ID " 10-1 " as highest score
Come.If the score of the threshold value as prespecified train marshalling list condition is " 30 ", corresponding with marshalling ID " 10-1 "
Degree of correlation number 1 " 49 " has been more than threshold value, therefore, it is determined that portion 34 is determined as that vehicle 10-1-3 corresponding with degree of correlation number 1 connects
It is connected to train marshalling list 10-1, and using vehicle 10-1-3 as vehicle corresponding with vehicle ID is established.
In addition, determination unit 34 can also extract respectively with the best result of marshalling ID " 10-1 " corresponding degree of correlation number,
Related best result, determines train marshalling list with degree of correlation number corresponding with marshalling ID " 10-2 ".In addition, determination unit
34 can also will be compared by the calculated whole degree of correlation numbers of determination unit 34 with threshold value.Further, with connect
In the case that the related information of scheduled train marshalling list and information of vehicles correspond to each other, determination unit 34 can be paid the utmost attention to and train
Related information, or additional information related with train marshalling list are organized into groups, therefore, it is determined that whether corresponding vehicle is connected to train
Marshalling.
In addition, the degree of correlation number of calculated gun parallax, speed difference, alternate position spike is less than pre- in the same manner as handling with establishment
In the case where the threshold value of the degree of correlation number of gun parallax, speed difference as defined in elder generation, alternate position spike, determination unit 34 is judged to being less than threshold value
Vehicle released the connection with train marshalling list.In addition, being also referred to establishment/releasing processing in establishment/releasing processing
Historical record is handled.
Determination unit 34 can be used past historical record and carry out relevant treatment and establishment/releasing processing, and not only
Use current information.Figure 12 is the historical record for showing past information of vehicles and the degree of correlation number acquired at each time point
Figure.For example, generating from " position " that vehicle 10-1-3 was obtained with 5 minute period, " speed ", " motion direction " and corresponding to
Score (" alternate position spike score ", " speed difference score ", " gun parallax score ").In addition, being stored with vehicle 10 in " other " column
The train marshalling list ID of past composition train marshalling list.The related journey current according to the export of the historical record of degree of correlation number of determination unit 34
Degree.Specifically, determination unit 34 for example can be in the score of present degree of correlation number and point of past degree of correlation number
Numerical example such as continuous 5 times or more be more than prespecified threshold value when, be determined as that vehicle 10 is connected to train marshalling list.In addition, determination unit
34 can be when the result for carrying out establishing processing be that a possibility that vehicle 10 is connected to two marshallings is same, referring to past history
Record, the train marshalling list that the train marshalling list that vehicle 10 connected in the past is judged to connecting now.In this way, determination unit 34 can chase after
Add some or all elements of past historical record to carry out establishment/releasing processing.
Next, determination unit 34 executes management processing (step S104) referring to storage unit 38.The example in front
In, vehicle 10-1-3 is determined portion 34 and is judged to being connected to train marshalling list 10-1.On the other hand, vehicle 10-3-1 is not judged as
It is connected to train marshalling list 10-1,10-2.The vehicle 10-3-1 not connecting with other vehicles is considered as a new column by determination unit 34
Vehicle organizes into groups 10-3.Vehicle 10-3-1 is endowed train marshalling list ID as a result, and generates train marshalling list information.
Next, prediction section 36 executes prediction processing (step S106) referring to storage unit 38.Prediction processing is to locate as follows
Reason: it according to the information of vehicles of the acquirement of train formation recognition apparatus 30, position, speed, the orientation of train marshalling list information etc., calculates
The position in future of vehicle and/or train marshalling list.Prediction section 36 referring to information of vehicles and train marshalling list information, predict vehicle and/
Or the position in future of train marshalling list.
Prediction section 36 is for example from the past train marshalling list information being stored in storage unit 38, according to the mistake of train marshalling list
The speed and orientation gone predict stipulated time t1The position of train marshalling list afterwards.Determination unit 34 for example can be according to predicting
Stipulated time t1The position of train marshalling list afterwards will be located at 10 conduct of vehicle in position range using radius 5km as position range
Relevant treatment, establishment/releasing processing object.In this case, such as determination unit 34 is passing through stipulated time t1When, determine
Whether vehicle 10 is located at stipulated time t1It rises in the position range within radius 5km the position of train marshalling list afterwards.In determination unit
In the case that 34 are determined as that vehicle 10 is not located in the position range within radius 5km, determination unit 34 determines train 10 and train
It is organized as not connected state.In the case where in the position range that determination unit 34 is determined as that vehicle 10 is located within radius 5km,
Determination unit 34 executes relevant treatment, establishment/releasing processing, and determines that vehicle 10 and train marshalling list still do not connect for the state of connection
The state connect.
In addition, determination unit 34 at the position for predicting train marshalling list, determines whether vehicle 10 is located at the train in future and compiles
It rises within defined position range the position of group.Whether determination unit 34 is located within defined position range according to vehicle 10, sentences
Determine vehicle in future 10 and train marshalling list is the state that the state connected is still not connected with.
Specifically, determination unit 34 at the position for predicting train marshalling list, determines whether vehicle 10 is located at the stipulated time
t1It rises in the position range within radius 5km the position of train marshalling list afterwards.It is determined as that vehicle 10 is not located at half in determination unit 34
In the case where in position range within diameter 5km, determination unit 34 determines to pass through stipulated time t1When vehicle 10 with train marshalling list be
Not connected state.In the case where in the position range that determination unit 34 is determined as that vehicle 10 is located within radius 5km, determination unit
34 are passing through stipulated time t1Shi Zhihang relevant treatment, establishment/releasing processing, and determine vehicle 10 and train marshalling list for connection
The state that state is still not connected with.
In addition, can also predict stipulated time t according to past speed and orientation for vehicle 101The position of vehicle afterwards
It sets, in the case where the position predicted is located in position range, as relevant treatment or establishment/releasing processing pair
As.In this way, simplifying by carrying out prediction processing and carrying out relevant treatment or establishment/position range of releasing processing, train marshalling list
And vehicle, therefore can reduce the processing of determination unit 34, and the processing time can be shortened.In addition, due to can predict by
Train marshalling list, the position of vehicle and the state of train marshalling list come, therefore can predict the train in the future in specified interval
The amount of power of marshalling and vehicle consumption.In addition, prediction processing can also be carried out similarly to speed, orientation.In addition, determination unit
34 can also be set in correlated condition used in relevant treatment or in establishment/solution according to the information by prediction processing prediction
Except condition used in processing.For example, in the case where causing the interval for obtaining information to become larger because communication conditions are poor etc., it is related
Processing works as use without the use of last time information (position, speed, orientation) using predictive information (position, speed, orientation) as a result,
Speed difference, alternate position spike can become larger when last time information, and will not be become larger using speed difference, alternate position spike when predictive information, can be improved
A possibility that can maintaining correlated condition.
Figure 13 is the figure for showing picture shown by the display unit of electrical management device 110.The longitudinal axis is amount of power."A-C"
Column diagram be the maximum consumption amount of power used in the A-C of section.In the A-C of section, train marshalling list X, Y is just expert at
It sails, is consuming with the electric power shown in oblique line.In addition, the column diagram of " D-H " is being capable of the maximum consumption used in the D-H of section
Amount of power.In the D-H of section, train marshalling list Z is being travelled with vehicle a, is being consumed with the electric power shown in oblique line.Electrical management
Device 110 by from train formation recognition apparatus 30 obtain train marshalling list state and constitute train marshalling list vehicle information,
So as to calculate the electricity usage amount in defined section.
It is predicted in addition, electrical management device 110 can be obtained by train formation recognition apparatus 30 based on prediction processing
Train marshalling list future position and constitute train marshalling list vehicle 10 electric power consumption.Electrical management device 110 as a result,
The amount of power to be consumed in specified interval after capable of predicting the stipulated time.
In addition, Vehicle preparation managing device 120 can manage column according to the information obtained from train formation recognition apparatus 30
The vehicle of vehicle marshalling and composition train marshalling list reorganizes and outfit situation.Operation management apparatus 130 can be identified according to from train marshalling list
The information that device 30 obtains manages the operation of train marshalling list and constitutes the operation of the vehicle of train marshalling list.In addition, in this implementation
In mode, as an example, to determination unit 34 using information of vehicles (identification information, position, speed, the traveling orientation of vehicle 10) with
Train marshalling list information (identification information, position, speed, the traveling orientation of train marshalling list) executes relevant treatment, establishment/releasing processing
And determine that the situation of the connection status of vehicle and train marshalling list is illustrated, still, two vehicles also can be used in determination unit 34
Information (identification information, position, speed, the traveling orientation of vehicle 10) executes relevant treatment, establishment/releasing processing, and determines
The connection status of vehicle and vehicle.In addition, two train marshalling list information also can be used in determination unit 34, (identification of train marshalling list is believed
Breath, position, speed, traveling orientation) relevant treatment, establishment/releasing processing are executed, and determine the company of train marshalling list and train marshalling list
Connect state.
At least one embodiment from the description above has communication unit 32 and determination unit 34, wherein the communication unit
32 obtain information of vehicles, and the information of vehicles is from multiple vehicles 10 by wireless transmission, and includes at least the identification of vehicle
Information and location information, the information of vehicles that the determination unit 34 is obtained according to communication unit 32 determine the connection shape of multiple vehicles 10
State, thus, it is possible to automatically identify the state of train marshalling list.As a result, can be improved convenience.
More than, although several embodiments of the invention are described, these embodiments are as an example
It proposes, it is not intended that limit the protection scope of invention.These embodiments can be implemented with various other ways, without departing from
In the range of invention objective, various omissions, substitutions and changes can be carried out.These embodiments or its deformation are included in invention
In protection scope or objective, also, it is included in invention and its equivalent protection scope documented by claims.
Claims (22)
1. a kind of train formation recognition apparatus, has:
Communication unit obtains information of vehicles, and the information of vehicles is from multiple train marshalling lists by wireless transmission, and including described
The identification information and location information at least one vehicle for including in multiple train marshalling lists；And
Determination unit, at least described identification information obtained according to the communication unit and the location information, determine described at least one
The connection status of a vehicle,
The determination unit is according to the information of vehicles, it would be possible at least one other at least one vehicle different from described in
At least one described vehicle of vehicle connection comes out as candidate vehicle extraction, and according to the information of vehicles of the candidate vehicle,
Determine that the candidate vehicle is the state that the state connecting at least one other vehicle is still not connected with.
2. train formation recognition apparatus according to claim 1, which is characterized in that
The train marshalling list is multiple vehicles of a vehicle or connection.
3. train formation recognition apparatus according to claim 1, which is characterized in that
Institute's rheme that the communication unit obtains between multiple vehicles that the determination unit includes in the multiple train marshalling list
Confidence breath, to determine the connection status of the multiple vehicle.
4. train formation recognition apparatus according to claim 3, which is characterized in that
The determination unit will include in the multiple train marshalling list described at least one vehicle the information of vehicles described in
Location information, the position letter with the information of vehicles for at least one other vehicle for being different from least one vehicle
The position correlativity of breath quantizes, and according at least to the position correlativity of the numeralization, determines at least one described vehicle
And at least one other vehicle be state that the state being connected to each other still is not connected with.
5. train formation recognition apparatus according to claim 4, which is characterized in that
The information of vehicles further comprises the travel speed of at least one described vehicle and at least one other vehicle,
The determination unit will include in the multiple train marshalling list described at least one vehicle the information of vehicles described in
Travel speed, the travel speed correlativity with the travel speed of the information of vehicles of at least one other vehicle
Numeralization, and the travel speed correlativity according at least to the numeralization and the position correlation of the numeralization are closed
System, determines at least one described vehicle and at least one other vehicle is the shape that the state being connected to each other still is not connected with
State.
6. train formation recognition apparatus according to claim 4 or 5, which is characterized in that
The information of vehicles further comprises the traveling orientation of at least one described vehicle and at least one other vehicle,
The determination unit will include in the multiple train marshalling list described at least one vehicle the information of vehicles described in
Traveling orientation, the traveling orientation correlativity with the traveling orientation of the information of vehicles of at least one other vehicle
Numeralization, and the traveling orientation correlativity according at least to the numeralization and the position correlation of the numeralization are closed
System, determines at least one described vehicle and at least one other vehicle is the shape that the state being connected to each other still is not connected with
State.
7. train formation recognition apparatus according to claim 4 or 5, which is characterized in that
For the determination unit according to by the historical record of numerical value obtained from position correlativity numeralization, judgement is described at least
One vehicle and at least one other vehicle are the state that the state being connected to each other still is not connected with.
8. train formation recognition apparatus according to claim 3, which is characterized in that
The information of vehicles further comprises the specification of vehicle,
The specification of the location information and the vehicle that the determination unit is obtained according at least to the communication unit, determines described more
The connection status of a vehicle.
9. the train formation recognition apparatus according to any one of claim 3 to 5 and 8, which is characterized in that
In the case where the determination unit is determined as that the multiple vehicle is not the state being connected to each other, the determination unit will be judged to
It is set at least one vehicle described in not connecting at least one other vehicle for being different from least one vehicle and is considered as one
A train marshalling list.
10. train formation recognition apparatus according to claim 4, which is characterized in that
The train formation recognition apparatus is further equipped with prediction section, and the prediction section is according at least one other vehicle
At least one of the information of vehicles and the judgement result of the determination unit of at least one other vehicle predict institute
The position in the future of at least one other vehicle is stated,
Position of the determination unit according to the future for at least one other vehicle predicted by the prediction section, setting determination
Benchmark, the determining benchmark be used to determine whether using at least one described vehicle as determine be connected to it is described at least one its
The subject vehicle for the state that the state of his vehicle is still not connected with,
The determination unit is according to the determining benchmark, it is determined whether at least one described vehicle be connected to it is described at least one
The state that the state of other vehicles is still not connected with determined,
The determination unit in the case where being determined as being determined, determine at least one described vehicle with it is described at least one other
Vehicle is the state that the state being connected to each other still is not connected with.
11. train formation recognition apparatus according to claim 1, which is characterized in that
The train formation recognition apparatus is further equipped with prediction section, and the prediction section is predicted according to the information of vehicles by institute
State determination unit be judged to being connected with the multiple vehicle state train marshalling list future position, speed or orientation,
The determination unit provides to regard as the identification condition of the candidate vehicle,
The determination unit is possible to and the company of being judged as with what the prediction section was predicted as a result, extracting according to the identification condition
It is connected to the candidate vehicle of the train marshalling list connection of the state of the multiple vehicle.
12. train formation recognition apparatus according to claim 1 or 2, which is characterized in that
Storage unit with train car grouping information, the train marshalling list information include identifying to wrap in the multiple train marshalling list
The train of the position of the marshalling identification information of at least one train marshalling list contained and determining at least one train marshalling list is compiled
Group location information,
The determination unit according to including in the marshalling identification information of the train marshalling list, the multiple train marshalling list
The train marshalling list position letter of the identification information of the information of vehicles of at least one vehicle, the train marshalling list information
The location information of the information of vehicles of breath and at least one vehicle determines at least one described vehicle and institute
Stating at least one train marshalling list is the state that the state being connected to each other still is not connected with.
13. train formation recognition apparatus according to claim 12, which is characterized in that
The determination unit by the location information of the information of vehicles of at least one vehicle, with it is described at least one column
The position correlativity numeralization of the train marshalling list location information of the train marshalling list information of vehicle marshalling, and according at least to
The position correlativity of the numeralization, determines at least one described vehicle and at least one described train marshalling list is to be connected to each other
The state that is still not connected with of state.
14. train formation recognition apparatus according to claim 13, which is characterized in that
The information of vehicles further comprises the travel speed of at least one vehicle,
The train marshalling list information further comprises the travel speed of at least one train marshalling list,
The determination unit by the travel speed of the train marshalling list information of at least one train marshalling list, with it is described extremely
The travel speed correlativity numeralization of the travel speed of the information of vehicles of a few vehicle, and according at least to described
The travel speed correlativity of numeralization and the position correlativity of the numeralization determine at least one described vehicle and institute
Stating at least one train marshalling list is the state that the state being connected to each other still is not connected with.
15. train formation recognition apparatus described in 3 or 14 according to claim 1, which is characterized in that
The information of vehicles further comprises the traveling orientation of at least one vehicle,
The train marshalling list information further comprises the traveling orientation of at least one train marshalling list,
The determination unit by the traveling orientation of the train marshalling list information of at least one train marshalling list, with it is described extremely
The traveling orientation correlativity numeralization in the traveling orientation of the information of vehicles of a few vehicle, and according at least to described
The traveling orientation correlativity of numeralization and the position correlativity of the numeralization determine at least one described vehicle and institute
Stating at least one train marshalling list is the state that the state being connected to each other still is not connected with.
16. train formation recognition apparatus described in 3 or 14 according to claim 1, which is characterized in that
For the determination unit according to by the historical record of numerical value obtained from position correlativity numeralization, judgement is described at least
One vehicle and at least one described train marshalling list are the state that the state being connected to each other still is not connected with.
17. train formation recognition apparatus according to claim 12, which is characterized in that
The determination unit is according to the information of vehicles, it would be possible at least one described in connecting at least one described train marshalling list
A vehicle comes out as candidate vehicle extraction, and according to the information of vehicles of the candidate vehicle, determines the candidate vehicle
The state being still not connected with for the state being connect at least one described train marshalling list.
18. train formation recognition apparatus according to claim 12, which is characterized in that
The information of vehicles further comprises the specification of vehicle,
The identification information, the location information and the vehicle that the determination unit is obtained according at least to the communication unit
Specification determines the connection status of described at least one vehicle and at least one train marshalling list.
19. train formation recognition apparatus according to claim 12, which is characterized in that
Whether the determination unit will be that the state connecting carries out at least one described vehicle and at least one described train marshalling list
It is determining the result is that at least one vehicle described in being judged as connect at least one described train marshalling list, is regarded as one and arranges
Vehicle marshalling.
20. train formation recognition apparatus according to claim 13, which is characterized in that
The train formation recognition apparatus is further equipped with prediction section, the prediction section according at least one described train marshalling list with
And at least one of judgement result of the determination unit of at least one train marshalling list, predict at least one described train
The position in the future of marshalling,
The position in the future of the determination unit at least one train marshalling list according to being predicted as the prediction section, setting determine
Benchmark, the determining benchmark are used to determine whether that using at least one described vehicle as judgement be to be connected at least one described column
The subject vehicle for the state that the state of vehicle marshalling is still not connected with,
The determination unit is according to the determining benchmark, it is determined whether at least one described vehicle be connected to it is described at least one
The state that the state of train marshalling list is still not connected with determined,
The determination unit determines at least one described vehicle and at least one described train in the case where being determined as being determined
The state that the state for being organized as being connected to each other still is not connected with.
21. train formation recognition apparatus according to claim 17, which is characterized in that
The train formation recognition apparatus is further equipped with prediction section, and the prediction section is according to the information of vehicles, described in prediction
Position, speed or the orientation in the future of at least one train marshalling list,
The determination unit provides to regard as the identification condition of the candidate vehicle,
The determination unit is possible to and as a result, extracting by the prediction according to what the identification condition and the prediction section were predicted
Portion predicts the candidate vehicle of at least one described train marshalling list connection in the position in future, speed or orientation.
22. a kind of train formation recognition system, has:
Train formation recognition apparatus described in any one of claim 1 to 21；And
Vehicle, the vehicle include position determining portions, determine the position of the vehicle；And vehicle communication portion, pass through channel radio
The identiflication number of location information and the vehicle that the position determining portions determines is sent to the train marshalling list identification and filled by letter
It sets.
Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP2014-156396 | 2014-07-31 | ||
| JP2014156396A JP6352717B2 (en) | 2014-07-31 | 2014-07-31 | Train organization recognition device and train organization recognition system |
| PCT/JP2015/068362 WO2016017332A1 (en) | 2014-07-31 | 2015-06-25 | Train composition recognition device and train composition recognition system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN106660570A CN106660570A (en) | 2017-05-10 |
| CN106660570B true CN106660570B (en) | 2019-05-17 |
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| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201580045286.8A Active CN106660570B (en) | 2014-07-31 | 2015-06-25 | Train formation recognition apparatus and train formation recognition system |
Country Status (5)
| Country | Link |
|---|---|
| JP (1) | JP6352717B2 (en) |
| CN (1) | CN106660570B (en) |
| AU (1) | AU2015297867A1 (en) |
| WO (1) | WO2016017332A1 (en) |
| ZA (1) | ZA201701431B (en) |
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|---|---|---|---|---|
| KR101730874B1 (en) * | 2016-10-18 | 2017-04-28 | 주식회사 유니온플레이스 | Apparatus for managing train information |
| CN109050506B (en) * | 2018-08-22 | 2021-03-26 | 中车株洲电力机车有限公司 | Control method, system and equipment for direct current motor of hydraulic braking system |
| CN112498380B (en) * | 2019-09-16 | 2021-12-28 | 山东启和云梭物流科技有限公司 | Unmanned multi-type combined transportation vehicle and transportation system |
| JP7409248B2 (en) * | 2020-07-15 | 2024-01-09 | Ｊｆｅスチール株式会社 | Railway vehicle operation management method and system |
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| CN101873959A (en) * | 2007-11-30 | 2010-10-27 | 三菱电机株式会社 | Train formation recognition system and train formation recognition apparatus |
| CN103223961A (en) * | 2013-04-18 | 2013-07-31 | 株洲南车时代电气股份有限公司 | Zero distance-based locomotive wireless reconnection method and device |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPS63124702A (en) * | 1986-11-13 | 1988-05-28 | Mitsubishi Electric Corp | Train monitoring device |
| JPH0678402A (en) * | 1992-08-26 | 1994-03-18 | Hitachi Ltd | Equipment for identifying vehicle |
| JP2000302039A (en) * | 1999-04-23 | 2000-10-31 | Koito Ind Ltd | Car formation acknowledging device |
| JP4445807B2 (en) * | 2004-06-30 | 2010-04-07 | 八幡電気産業株式会社 | Railway car number display system |
| JP5292356B2 (en) * | 2010-05-24 | 2013-09-18 | 株式会社日立製作所 | Train information transmission device |
| JP2013042608A (en) * | 2011-08-18 | 2013-02-28 | Toyo Electric Mfg Co Ltd | Device for recognizing vehicles forming train, in train information system |
-
2014
- 2014-07-31 JP JP2014156396A patent/JP6352717B2/en active Active
-
2015
- 2015-06-25 CN CN201580045286.8A patent/CN106660570B/en active Active
- 2015-06-25 AU AU2015297867A patent/AU2015297867A1/en not_active Abandoned
- 2015-06-25 WO PCT/JP2015/068362 patent/WO2016017332A1/en active Application Filing
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2017
- 2017-02-24 ZA ZA2017/01431A patent/ZA201701431B/en unknown
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101873959A (en) * | 2007-11-30 | 2010-10-27 | 三菱电机株式会社 | Train formation recognition system and train formation recognition apparatus |
| CN103223961A (en) * | 2013-04-18 | 2013-07-31 | 株洲南车时代电气股份有限公司 | Zero distance-based locomotive wireless reconnection method and device |
Also Published As
| Publication number | Publication date |
|---|---|
| JP2016032974A (en) | 2016-03-10 |
| CN106660570A (en) | 2017-05-10 |
| WO2016017332A1 (en) | 2016-02-04 |
| JP6352717B2 (en) | 2018-07-04 |
| ZA201701431B (en) | 2018-05-30 |
| AU2015297867A1 (en) | 2017-03-16 |
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