CN103049652A - Method and system for checking station operating standard time and capabilities - Google Patents

Method and system for checking station operating standard time and capabilities Download PDF

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CN103049652A
CN103049652A CN2012105401220A CN201210540122A CN103049652A CN 103049652 A CN103049652 A CN 103049652A CN 2012105401220 A CN2012105401220 A CN 2012105401220A CN 201210540122 A CN201210540122 A CN 201210540122A CN 103049652 A CN103049652 A CN 103049652A
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data
station
time
capacity
station operation
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陈军华
徐彬
张星臣
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Beijing Jiaotong University
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Beijing Jiaotong University
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Abstract

The invention provides a method and a system for checking station operating standard time and capabilities. The corresponding method comprises the steps of obtaining original data for station operating standard time checking from a station monitoring device; classifying the original data according to station operating categories, and obtaining the standard time for each station operation and device utilization rates by calculation; correcting the standard time for each station operation and the device utilization rates according to the classified original data and by combination with station operating plans; and obtaining station operating capabilities by calculation according to the corrected standard time for each station operation and the corrected device utilization rates. Various station operating standard time and capability data are obtained by automatic processing and analysis of the original data, so that railway operating standard time checking work is small in investment and high in efficiency and precision.

Description

The method and system of a kind of station operation standard time and Capacity assessment
Technical field
The present invention relates to the method and system of a kind of station operation standard time and Capacity assessment, belong to technical field of information processing.
Background technology
The calculating of Existing Railway Line movement capacity and reinforcement are played a very important role for promoting railway operation ability and efficient, wherein a very important aspect is exactly the ability at accurate evaluation travel line and station how, i.e. the problem of vouching of station operation standard time and ability.Vouched that correctly both wired operation or work standard time and ability utilize situation because only have, found the weak link on existing equipment and the job engineering, just can take suitable expansion can measure to reach to tap the latent power and put forward the purpose of effect.
At present, existing railway operation time standard vouch still be in manually look into mark or in conjunction with the DMIS(Dispatching monitor and control system) the semi-automatic of playback function look into the mark method stage, as shown in Figure 1.
Manually look into mark and vouch method as railway station activity duration standard the earliest, look into the common employing of mark at every turn and look into the target mode comprehensively, mainly be divided into the preparatory stage, realistic stage, arrangement, analysis, calculating, calibration stage three phases.The whole mark process of manually looking into will be set up some professional groups, transfers personnel, organizing training, drafts and print the various mark forms of looking into, and the tissue fixed point is followed the tracks of realistic, also realistic data will be carried out at last analysis-by-synthesis and calculate, and binds into book form.Traditional target weak point of manually looking into is to invest excessive, impact normal operation order, has potential safety hazard, looks into the mark precision low, and labour intensity is large, and sample size is on the low side etc.
In conjunction with the DMIS(Dispatching monitor and control system) the semi-automatic mark of looking into of playback function mainly is " record-playback " function of utilizing the equipment such as microcomputer interlock system or microcomputer detecting system, mode by manual record, collect the time of every operation, realized calculating throat handling capacity, the required original mark data acquisition of looking into of carrying capacity of receiving departure track.The step of its enforcement mainly is to have utilized existing monitoring system in the raw data stage of obtaining with manually to look into mark basic identical, and other stage is still take manually as main.Major defect still need to be a large amount of manpower and materials, and adopts the manually-operated meeting mistakes such as error of omission, incorrect posting to occur, and work for the treatment of impacts to follow-up data.
Summary of the invention
The embodiment of the invention provides the method and system of a kind of station operation standard time and Capacity assessment, for the raw data that realizes that the automatic acquisition station operation standard time is vouched, realization is processed and is analyzed the robotization of raw data, obtain various station operation standard time and capacity data, make the railway operation standard time vouch that the work investment is less, efficient and precision are higher.For this reason, the present invention proposes following technical scheme:
The method of a kind of station operation standard time and Capacity assessment may further comprise the steps:
From the monitoring equipment of station, obtain the raw data that the station operation standard time vouches;
According to the station operation kind described raw data is classified, and calculate standard time and the plant factor that obtains every station operation;
The raw data of described classification is revised standard time and the plant factor of every station operation in conjunction with station operating plan;
Standard time and plant factor according to revised every station operation are calculated the station operation ability that obtains.
The system of a kind of station operation standard time and Capacity assessment comprises raw data deriving means, original data processing device, data correction device and station operation capacity calculation device;
Described raw data deriving means is used for obtaining the raw data that the station operation standard time vouches from the station monitoring equipment;
Described original data processing device is used for according to the station operation kind described raw data being classified, and calculates standard time and the plant factor that obtains every station operation;
Described data correction device is used for the raw data of described classification is revised standard time and the plant factor of every station operation in conjunction with station operating plan;
Described station operation capacity calculation device is used for calculating the station operation ability that obtains according to standard time and the plant factor of revised every station operation.
Method provided by the invention is by obtaining the raw data that the station operation standard time vouches and classifying and calculate standard time and the plant factor of every station operation, revise again rear calculating and obtain the station operation ability, thereby realize the raw data that the automatic acquisition station operation standard time is vouched, and the robotization of raw data processed and analyze, obtain various station operation standard time and capacity data, make the railway operation standard time vouch that the work investment is less, efficient and precision are higher.
Description of drawings
Accompanying drawing is used to provide a further understanding of the present invention, and consists of the part of instructions, is used for together with embodiments of the present invention explaining the present invention, is not construed as limiting the invention.In the accompanying drawings:
Fig. 1 is the process flow diagram that the station operation standard time is vouched in the prior art;
Fig. 2 is the method flow diagram of station operation standard time and Capacity assessment in the embodiment of the invention;
Fig. 3 is the method detail flowchart of station operation standard time and Capacity assessment in the embodiment of the invention;
Fig. 4 is the structural representation of signal microcomputer monitoring system in the embodiment of the invention;
Fig. 5 is the structural representation of train operation monitoring and recording device in the embodiment of the invention;
Fig. 6 is the process flow diagram of throat handling capacity computing method in the embodiment of the invention;
Fig. 7 is the process flow diagram of carrying capacity of receiving departure track computing method in the embodiment of the invention;
Fig. 8 is the process flow diagram that arrives the sorting capacity at station computing method in the embodiment of the invention;
Fig. 9 is the schematic diagram of rejecting abnormalities data method in the embodiment of the invention;
Figure 10 is to the process flow diagram of method of Completing Missing Values in the embodiment of the invention;
Figure 11 is the process flow diagram that in the embodiment of the invention data analysis is obtained the corrected parameter method of different accessibilities;
Figure 12 is the parameter selected value curve map that various patterns can reach in the embodiment of the invention;
Figure 13 is the structural representation of station operation standard time and Capacity assessment system in the embodiment of the invention;
Figure 14 is the processing flow chart of station operation standard time and Capacity assessment system in the embodiment of the invention.
Embodiment
Below in conjunction with accompanying drawing the preferred embodiments of the present invention are described, should be appreciated that preferred embodiment described herein only is used for description and interpretation the present invention, is not intended to limit the present invention.
As shown in Figure 2, the embodiment of the invention provides the method for a kind of station operation standard time and Capacity assessment, may further comprise the steps:
Step 201: from the monitoring equipment of station, obtain the raw data that the station operation standard time vouches;
Step 202: according to the station operation kind described raw data is classified, and calculate standard time and the plant factor that obtains every station operation;
Step 203: the raw data of described classification is revised standard time and the plant factor of every station operation in conjunction with station operating plan;
Step 204: standard time and plant factor according to revised every station operation are calculated the station operation ability that obtains.
Adopt the method, can obtain various raw data by utilizing existing station checkout equipment, to the raw data statistic of classification, and analyzing and processing, the standard time of the every operation in station and the utilization factor of items of equipment are revised.According to the standard time of revised every operation and the utilization factor calculating station operation ability of items of equipment, reduced the investment of station operation standard time and Capacity assessment, improved efficient and the precision vouched.
As shown in Figure 3, the embodiment of the invention provides the detail flowchart of said method, may further comprise the steps:
Step 301: obtain station switching value raw data according to the signal microcomputer monitoring system, obtain train interval motion time raw data according to the train operation monitoring register system.
The signal microcomputer monitoring system utilizes the latest modern technological technology, such as technology such as sensor, fieldbus, computer network communication, database and soft projects, the main running status of monitoring and tracer signal equipment is for telecommunication and signaling branch is grasped the utilization quality of equipment and the important travelling facility that fault analysis provides scientific basis.Simultaneously, it also has the mathematical logic arbitration functions, departs from predetermined threshold or occurs can reaching alarm when unusual in the working condition of signalling arrangement, avoids because of equipment failure or operates safety, the running on time that affects train against regulations.Its system architecture comprises station machine and harvester two parts as shown in Figure 4, and the machine of standing is realized centralized management, and harvester is realized the distributed collection information under the centralized management.
Signal microcomputer monitoring system applies computing machine and the various signalling arrangements of information collection machine Real-Time Monitoring.The type of monitoring target can be divided into analog quantity and switching value substantially.Analog quantity comprises: power supply panel voltage, track circuit voltage, track switch action current, insulating resistance of cable and power supply be leakage current etc. over the ground.The station switching value comprises one or more in crucial relay status, control desk button, indication lamp state, fuse state, filament state and the switch target notch state.The switching value change histories record that the switching value monitoring is recorded can reflect various switching values operating position at that time, indirectly reflects the situation of utilizing of station items of equipment.
Switching value change histories record can get access to by the electricity affair data query in the machine system software function for monitoring of station, it clearly records and shows variation order and the state of every signalling arrangement switching value, this provides accurately foundation for understanding and analyzing items of equipment at that time operating position, is to realize that the robotization of station operating time standard is vouched Data Source is provided.
Train operation monitoring and recording device is be used to the train speed opertaing device that guarantees traffic safety and have train operation state reference record function, also is one of modern fundamental equipments of railway locomotive operational management.Its concrete structure comprises airborne equipment and uphole equipment as shown in Figure 5, and the train interval motion time of its record comprises one or more in train running speed, the train arrival ﹠ leaving station moment, train number and the locomotive vehicle.
Step 302: the raw data that obtains is carried out the isomeric data conversion, obtain the data of consolidation form; According to the station operation kind data of described consolidation form are carried out statistic of classification; Calculate the time standard of the every operation in station and the utilization factor of items of equipment according to the statistic data that obtain.
In real data is processed, be in red band time, track switch and be in number of times that white light band time and track switch state change etc. and obtain the station turnout ability and utilize situation by calculating track switch, calculate section without a switch and be in red band time, section without a switch and be in number of times that white light band interval and section without a switch state change etc. and obtain the section without a switch ability and utilize situation, obtaining the statistic data of train by the section operation time-division by calculating various statistics of train section operation time-division and all kinds train sample size statistics.
Because these data derive from respectively different acquisition and recording devices, therefore the data storage disperses, and kind is different, and form is various, comprise Oracle, Sysbase, relational data library file and GEO file and the TXT files such as SQL Server, Access, and data volume is huge.Therefore need by conversion it to be gathered in a database.
Can be with the XML(extend markup language in the embodiments of the invention) as an intermediary, realize the heterogeneous database data conversion.The conversion isomery relational database take XML as common data model, the integrated conversion that can be current station various information system data facilitates.Its basic ideas are format conversion, namely former formatted data is converted to the file of object format through data converter and preserves, and with the data of object format as system employed immediate data source.Just a kind of method of Data Format Transform described herein is not as limitation of the present invention.Similarly method is a lot, and those skilled in the art all do not fall within protection scope of the present invention by the thinkable extended formatting conversion method of creative work.Adopt this technical scheme, can overcome the problem of present railway station data of information system polyphyly, fully utilize the data of each infosystem.
Step 303: described classification raw data is carried out analyzing and processing, in conjunction with station operating plan the standard time of the every operation in station and the utilization factor of items of equipment are revised.
In embodiments of the present invention because the small probability of the error of DATA REASONING and collection or computing machine is unusual, can make in the raw data of magnanimity and have some abnormal datas, need to reject processing to these data.As shown in Figure 9, only keep the data between upper and lower antenna among the figure, and the outlier among the figure, maximum value minimal value are defined as abnormal data, abnormal data is deleted.
As shown in figure 10, for keeping the integrality of data, need to carry out the data polishing to the data of disappearance, step mainly comprises: the type of train of determining the missing data station; According to described type of train polishing missing data.
For convenience of description, establish x IjFor j-1 stands the section operation time-division of j+1 station by the i train at j station; With
Figure BDA00002582833800052
Be respectively train and do not stop by the j station with in the average operation time of j station stop, and
Figure BDA00002582833800053
If
Figure BDA00002582833800054
Judge that then train i does not stop by j station, namely train i to the type at j station for passing through, otherwise judge that then train i stops at the j station, namely train i type that j is stood is for stopping.
After determining type of train, can divide the train arrival time data of 2 kinds of situation polishing disappearances.
Situation I: when train i for the type at j station for by the time, train i is by the moment t at j station IjFor:
Figure BDA00002582833800055
In the formula: t Ij-1For train i at the j-1 frequency of standing;
Figure BDA00002582833800056
For train from the stand average pure motion time at j station of j-1; L=0, expression train do not stop at the j-1 station and pass through, l=1, and the expression train stops at the j-1 station; Be the additional time for starting of train at the j-1 station.
Situation II: when train i for the type at j station when stopping, train i arrives the moment t at j station IjArrive and frequency t IjSend out and be respectively:
Figure BDA00002582833800061
Figure BDA00002582833800062
In the formula:
Figure BDA00002582833800063
Be the additional time for stopping of train at the j station;
Figure BDA00002582833800064
Be the additional time for stopping of train at the j+1 station;
Figure BDA00002582833800065
Be the additional time for starting of train at the j station; t Ij+1Arrive the moment at j station for train;
Figure BDA00002582833800066
For train from the stand average pure motion time at j+1 station of j; M=0, expression train do not stop at the j+1 station and pass through, m=1, and the expression train stops at the j+1 station.
Finishing on the pretreated bases of data such as rejecting abnormal data and data polishing, to data analysis, obtain the corrected parameter of different accessibilities.Accessibility is defined as follows: sample numerical value is arranged by ascending order, and the ratio that accounts for whole sample sizes for the data sample amount less than certain numerical value is the corresponding accessibility of this numerical value.Data analysis step as shown in figure 11.
Step 1: form initial analysis.
Carry out statistical study for the complete tables of data sample data behind the polishing, tentatively determine their distribution character, comprise central tendency, dispersion degree and the distributional pattern etc. of data.
Step 2: Frequence Analysis.
At first the isoparametric sample data of section operation time-division of different category of trains is classified; Apart from grouping, add up the frequency of every group of data when then carrying out for the sample data of each classification, and adopt the Pearson simple correlation coefficient to analyze linear dependence between data and corresponding frequency; At last, according to existing packet and each class frequency, obtain the isoparametric histogram frequency distribution diagram of respective bins motion time.
Step 3: data fitting.
On the basis to frequency substep histogram data specificity analysis, set up the rationally matched curve regression model of reflected sample data variation trend with the beta function distribution of left avertence, that is:
f ( k 1 , k 2 , x ) = 1 B ( k 1 , k 2 ) × x k 1 - 1 × ( 1 - x ) k 2 - 1
Wherein, B ( k 1 , k 2 ) = ∫ 0 1 t k 1 - 1 ( 1 - t ) k 2 - 1 dt
In the formula: k 1, k 2Be the distribution parameter that β distributes, can utilize sample data to estimate to obtain k 1And k 2Initial value; X, t are stochastic variable and x ∈ [0,1], t ∈ [0,1].
Step 4: parameter correction.
In order to reflect accurately and effectively the characteristic of the service chart parameters such as train interval motion time, need to be to k under the different accessibilities 1And k 2Initial value revise.Analyze in conjunction with actual work requirements and sample data distribution character, emphasis to 90%, 80%, 70% and the average accessibility under k 1And k 2Initial value revise.Figure 12 is for working as k 1=2, k 2The parameter selected value curve that=2.5 o'clock each patterns can reach.
Step 5: parameter evaluation.
In order to ensure accuracy and the validity of matched curve, need to carry out evaluation to the parameter of curve.Namely estimate in conjunction with the parameter value of service chart under the different accessibilities, when meeting the system evaluation standard, then enter the correction of service chart parameter; Otherwise, return step 1, re-start data analysis, until meet the parameter evaluation standard.
On the basis of finishing the parameter correction, the classification raw data of consolidation form is revised the data that obtain rationalizing according to corrected parameter.
Step 304: calculate the station operation ability according to the standard time of revised every operation and the utilization factor of items of equipment, comprise carrying capacity of station, sorting capacity at station and goods yard, station ability.
Analyze for existing station operation class of business, carrying capacity of station mainly comprises carrying capacity of receiving departure track, carrying capacity of throat turnout and marshalling handling capacity.Sorting capacity at station mainly comprises hump resolution ability, switchyard afterbody mardelling capacity and the line capacity of shunting.Goods yard, station ability comprises existing goods yard items of equipment ability and newly-built or items of equipment marginal capacity.These abilities are to propose according to present station Major Function, and those skilled in the art can know, can obtain various types of station capacities by calculating according to the raw data that obtains from electricity affair equipment, are not limited only to above-mentioned every ability of having listed at present.
Below, take at present main station operation ability as example, illustrate how to set the concrete data that computing formula obtains these abilities by raw data.
1, as shown in Figure 6 the computing method of throat handling capacity
(1) calculates the time standard that takies throat
To same end throat, the sending and receiving train work is only pressed category of trains calculates same individual event time standard: To other operations, do not calculate each holding time standard, and by track switch group number statistics T.T. ∑ t OtherAnd fixed operation time ∑ t wherein Gu
Meet the time standard t that car takies throat Connect, refer to when beginning to prepare receiving route, enter in the hair line fouling post time that only takies bottle-neck section when stop in the side to train, equal preparation of the route and train by Distance Time sum, the i.e. t of entering the station Connect=t Accurate+ t Advance
Dispatch a car and take throat time standard t Send out, rise when referring to autocollimatic preparation car route, when soaring circuit, train only takies the time of bottle-neck section, equal preparation of the route and train by departures Distance Time sum, i.e. t Send out=t Accurate+ t Go out
(2) calculate the total holding time that each track switch of bottle-neck section is organized
Take T.T. T computing formula:
T=∑ n Connectt Connect+ ∑ n Send outt Send out+ ∑ t Other+ ∑ t Harm
In the formula: n Connect, n Send out---what diel took this track switch group connects, sends out train number (visitor, goods, unit separate); t Connect, t Send out---connect, dispatching a car takies throat time standard (visitor, goods, unit are separately); ∑ t Other---take the T.T. that this track switch is organized except connecing, send out other operations of train (comprise locomotive station, other shunt); ∑ t Harm---directly hinder the time, when gathering, press track switch number statistics T.T., its computing formula is with ∑ t Other
According to the holding time of each track switch, determine the longest the organizing for the busiest track switch for the throat point group of holding time, i.e. the throat point group.
(3) calculate throat point group handling capacity utilization factor
In the formula: ∑ t Gu---fixed operation takies throat point group T.T., and fixed operation comprises: passenger train is to sending out, the passenger vehicle section of coming in and going out, and the accent machine section of coming in and going out is is regularly fetched and delivered car etc.; γ Empty---the throat point leisure coefficient, can adopt 0.15~0.2;
(4) handling capacity of calculating throat point group
Determine the goods train handling capacity by a station closure;
Figure BDA00002582833800083
In the formula:
Figure BDA00002582833800084
---the i direction thing train ability that connects, delivers;
Figure BDA00002582833800085
---the i direction is listed the thing train number that connects, delivers of calculating in.
2, as shown in Figure 7 the computing method of carrying capacity of receiving departure track
(1) calculating takies the hair line time standard
Gather taking from beginning to end data to hair line, can be divided into following classification for train to the situation that takies to hair line: passenger train t The visitor, arrive disintegration t To separating, the marshalling t that starts Edit and release, without the reorganization t InAdapt t ' with part InAdd up the holding time standard.
(2) calculate hair line total holding time T
Each track occupied time
T=n Int In+ n ' InT ' In+ n To separatingt To separating+ n Edit and releaset Edit and release+ n The visitort The visitor+ ∑ t Other
In the formula: t In, t ' In, t Row are separated, t Edit and release, t The visitor---handle the time that various train one row or unit once take hair line; n In, n ' In, n To separating, n Edit and release, n The visitor---the various train diels of listing calculating in take columns or the unit number of times of hair line;
(3) calculate the carrying capacity of receiving departure track utilization factor:
Figure BDA00002582833800091
In the formula: ∑ t Gu---the diel fixed operation takies the T.T. that is dealt into hair line; γ Empty---to the hair line leisure coefficient, can adopt 0.15-0.2;
(4) calculate hair line sending and receiving car handling capacity by direction and different classes of goods train: to the car ability that connects of hair line
Figure BDA00002582833800092
With the ability of dispatching a car
Figure BDA00002582833800093
In the formula: N In---without reorganization relay train handling capacity,
Figure BDA00002582833800094
N ' In---part is adapted the relay train handling capacity,
Figure BDA00002582833800095
N To separating---arrive the spliting up a train handling capacity,
Figure BDA00002582833800096
N Edit and release---marshalling starting train handling capacity,
Figure BDA00002582833800097
n In, n ' In, n To separating, n Edit and release---the diel of listing calculating in disintegrates, organizes into groups the starting train number without reorganization transfer, arrival;
The station carrying capacity of receiving departure track is each parking lot handling capacity sum.
3, as shown in Figure 8 to the computing method of sorting capacity at station
(1) calculates the T.T. T that diel takies hump or shunting neck
T=∑ n Separatet Separate+ ∑ n Compilet Compile+ ∑ n Transfert Transfer+ ∑ t Harm+ ∑ t Gu+ ∑ t Whole
In the formula: n Separate, n Compile---diel disintegrates or organizes into groups certain train number (comprise through, straight-through, section, exchange train number, do not comprise the number that picks up and drop train) of certain direction; t Separate, t Compile---disintegrate or organize into groups this kind train do not have the column average time-division (do not comprise whole, send to prohibit and slip car, obstruction time, be pure solution, volume time.t SeparateComprise idle running, involve, push away peak, decomposition, t CompileComprise to connect and hang, select and compile, turn line, idle running); n Transfer, t Transfer---be other shunting service number of times, the shunting service time except disintegrating, organizing into groups; ∑ t Harm---because crossing of route disturbs, diel must stop to take total time-division of hump or shunting neck; ∑ t Whole---the whole field of diel takies total time-division of hump or shunting neck; ∑ t Gu---the circadian fixed operation time-division, comprise that solution, volume pick up and drop train, fetch and deliver car, the group of shunting is had a meal, is relieved, locomotive servicing, passenger vehicle throwing hangering operation;
(2) calculate hump or involve reorganization capacity utilization ratio K
Figure BDA00002582833800101
In the formula: α The empty expense---the leisure coefficient of hump or shunting neck, generally adopt 0.05~0.1;
(3) the reorganization ability at calculating all directions and station
The solution ability of immigrants of all directions
Figure BDA00002582833800102
B ' Separate=N ' SeparateM ' Separate()
The mardelling capacity of all directions
Figure BDA00002582833800103
B ' Compile=N ' CompileM ' Compile()
Sorting capacity at station
Figure BDA00002582833800104
Figure BDA00002582833800105
In addition, in a preferred embodiment of the invention, industry standard data, traditional empirical data and the on-the-spot real data that can vouch according to station capacity are optimized the every capacity calculation formula in described station.Adopt this technical scheme, can make the station operation standard time and the capacity data that measure more accurate.
Be calculated as example with switchyard afterbody mardelling capacity, its traditional calculating formula is:
Figure BDA00002582833800106
In the formula: M Machine---afterbody marshalling accent machine quantity; t Gu---afterbody is transferred machine diel fixed operation T.T.:
∑ t Compile=∑ t Handing-over+ ∑ t Have a meal+ ∑ t Reorganize and outfit+ ∑ t Fetch and deliver+ ∑ t Set out
In the formula: γ---hinder coefficient, its value is relevant with the machine of accent quantity; N Pluck---the number that picks up and drop train of diel marshalling; t Marshalling---on average organize into groups the time of a car team.
Now consider unbalanced transportation to the impact of ability, introduce a stage unbalance factor
Figure BDA00002582833800107
Phases-time length adopted 3 hours, then:
Figure BDA00002582833800108
Simultaneously, compare with the average marshalling time with the available time of diel (removing fixed operation) in the direct computing method, pick up and drop train the time " 1440M because fixed operation has comprised marshalling Machine-∑ t Gu" in the time subduction that marshalling picked up and drop train; And t MarshallingBut be the complete average marshalling time of station, comprised also that wherein marshalling picks up and drop train the time, therefore " 1440M Machine-∑ t Gu" just should not be by t MarshallingRemove, and should be by t Compile straight, district, littleRemove.In addition, the supplement production operation (have a meal, relieve, reorganize and outfit) of transferring machine was carried out when relieving simultaneously, all the other carried out in turn.During this period of time, the switchyard afterbody is actually (M-1) platform and transfers machine in operation, obviously is inaccurate such as the value that hinders coefficient still to adopt M platform accent machine to be, and should adopts γ ', therefore the obstruction coefficient that γ ' for (M-1) platform accent machine is can not be counted as an effective time (1440M Machine-t Gu) (1-γ Empty), and should be:
[1440M-∑ t ' Gu-M Machine(∑ t Reorganize and outfit+ ∑ t Have a meal+ ∑ t Fetch and deliver)] * (1-γ)+(M Machine-1) (∑ t Reorganize and outfit+ ∑ t Have a meal+ ∑ t Fetch and deliver) * (1-γ ')
Wherein, ∑ t ' Gu=∑ t Handing-over+ ∑ t Set out, to the computing formula of switchyard afterbody mardelling capacity optimization be:
Figure BDA00002582833800111
In the formula:
T ' Marshalling---the station grouping operation time (not comprising the marshalling time that picks up and drop train), be t Compile straight, district, little∑ t ' Gu=∑ t Handing-over+ ∑ t Set out
γ Close---the obstruction coefficient when the M platform is transferred machine;
γ ' Close---the obstruction coefficient when the M-1 platform is transferred machine.
Adopt this technical scheme, the problem that has abnormal data in the time of can solving DATA REASONING and collection, after mass data carried out rejecting abnormalities data, polishing and corrected parameter, solved supplemental characteristic single fixing, precision is not high and can not adapt to the defective of the line condition of dynamic change.
For realizing said method, the embodiment of the invention has proposed the system of a kind of station operation standard time and Capacity assessment, as shown in figure 13, is the structural representation of this system, and the process flow diagram of the electricity affair data that its calculation process collects as shown in figure 14.This system comprises raw data deriving means, original data processing device, data correction device and station operation capacity calculation device, wherein, described raw data deriving means is used for obtaining the raw data that the station operation standard time vouches from the station monitoring equipment; Described original data processing device is used for according to the station operation kind described raw data being classified, and calculates standard time and the plant factor that obtains every station operation; Described data correction device is used for the raw data of described classification is revised standard time and the plant factor of every station operation in conjunction with station operating plan; Described station operation capacity calculation device is used for calculating the station operation ability that obtains according to standard time and the plant factor of revised every station operation.
The raw data deriving means further comprises switching value data acquiring unit and train interval motion time data capture unit, and wherein, described switching value data acquiring unit is used for obtaining station switching value raw data according to the signal microcomputer monitoring system; Described train interval motion time data capture unit is used for obtaining train interval motion time raw data according to the train operation monitoring register system.
The original data processing device further comprises Date Conversion Unit, data statistics unit sum test statistics data processing unit, and wherein, described Date Conversion Unit is used for described raw data is carried out the isomeric data conversion, obtains the data of consolidation form; Described data statistics unit, being used for according to the station operation kind data of described consolidation form being classified obtains the station turnout ability and utilizes situation, section without a switch ability to utilize situation and the train statistic data by the section operation time-division; Described statistic data processing unit is for the time standard and the plant factor that calculate every station operation according to described statistic data.
The data correction device comprises rejecting abnormal data unit, Completing Missing Values unit, corrected parameter computing unit and data correction unit, wherein, described rejecting abnormal data unit is used for according to data characteristics the data of described consolidation form being carried out rejecting abnormal data; Described Completing Missing Values unit is used for the data of disappearance are carried out the data polishing; Described corrected parameter computing unit is used for data behind the polishing are processed the corrected parameter that calculates different accessibilities; Described data correction unit is used for according to described corrected parameter the data of described consolidation form being revised.
Described Completing Missing Values unit is further used for: the type of train of determining the missing data station; According to described type of train polishing missing data.
Described data correction unit is further used for: carry out statistical study according to the data behind the polishing, the central tendency of specified data, dispersion degree and distributional pattern; Gradation parameter is classified to data during according to the section operation of different category of trains, when carrying out for the data of each classification apart from grouping, add up the frequency of every group of data, adopt the linear dependence between Pearson simple correlation coefficient computational data and corresponding frequency, according to existing packet and each class frequency, calculate the isoparametric histogram frequency distribution diagram of respective bins motion time; The matched curve regression model is set up in beta function distribution with left avertence, calculates the initial value of distribution parameter under the different accessibilities; Distribution parameter initial value under the different accessibilities is revised; According to described corrected parameter the data of described consolidation form are revised.
Described station operation capacity calculation device further comprises throat handling capacity computing unit, carrying capacity of receiving departure track computing unit, arrives the sorting capacity at station computing unit.Throat handling capacity computing unit is used for calculating the time standard that takies throat; Calculate the total holding time of each track switch group of bottle-neck section; Calculate throat point group handling capacity utilization factor; Calculate respectively the handling capacity of throat point group by each closure of station; The carrying capacity of receiving departure track computing unit is used for calculating and takies the hair line time standard; Calculate the hair line total holding time; Calculate the carrying capacity of receiving departure track utilization factor; Calculate hair line sending and receiving car handling capacity by direction and different classes of goods train; The station carrying capacity of receiving departure track is each parking lot handling capacity sum; The sorting capacity at station computing unit is used for calculating the T.T. that diel takies hump or shunting neck; Calculate hump or involve the reorganization capacity utilization ratio; Calculate the reorganization ability of each closure of station, comprise and separate ability of immigrants and mardelling capacity;
In the technique scheme, also comprise computing formula optimization unit, industry standard data, traditional empirical data and on-the-spot real data for vouching according to station capacity are optimized the every capacity calculation formula in described station.
Those skilled in the art should be understood that embodiments of the invention can be provided as the product of method, system or computer program.Therefore, the present invention can adopt complete hardware implementation example, complete implement software example or in conjunction with the form of the embodiment of software and hardware aspect.And the present invention can adopt the form of the computer program of implementing in one or more computer-usable storage medium (including but not limited to magnetic disk memory and optical memory etc.) that wherein include computer usable program code.
The present invention is that reference is described according to process flow diagram and/or the block scheme of method, equipment (system) and the computer program of the embodiment of the invention.Should understand can be by the flow process in each flow process in computer program instructions realization flow figure and/or the block scheme and/or square frame and process flow diagram and/or the block scheme and/or the combination of square frame.Can provide these computer program instructions to the processor of multi-purpose computer, special purpose computer, Embedded Processor or other programmable data processing device producing a machine, so that the instruction of carrying out by the processor of computing machine or other programmable data processing device produces the device that is used for realizing in the function of flow process of process flow diagram or a plurality of flow process and/or square frame of block scheme or a plurality of square frame appointments.
These computer program instructions also can be stored in energy vectoring computer or the computer-readable memory of other programmable data processing device with ad hoc fashion work, so that the instruction that is stored in this computer-readable memory produces the manufacture that comprises command device, this command device is realized the function of appointment in flow process of process flow diagram or a plurality of flow process and/or square frame of block scheme or a plurality of square frame.
These computer program instructions also can be loaded on computing machine or other programmable data processing device, so that carry out the sequence of operations step producing computer implemented processing at computing machine or other programmable devices, thereby be provided for realizing the step of the function of appointment in flow process of process flow diagram or a plurality of flow process and/or square frame of block scheme or a plurality of square frame in the instruction that computing machine or other programmable devices are carried out.
Obviously, those skilled in the art can carry out various changes and modification to the present invention and not break away from the spirit and scope of the present invention.Like this, if of the present invention these are revised and modification belongs within the scope of claim of the present invention and equivalent technologies thereof, then the present invention also is intended to comprise these changes and modification interior.

Claims (10)

1. the method for station operation standard time and Capacity assessment is characterized in that, may further comprise the steps:
From the monitoring equipment of station, obtain the raw data that the station operation standard time vouches;
According to the station operation kind described raw data is classified, and calculate standard time and the plant factor that obtains every station operation;
The raw data of described classification is revised standard time and the plant factor of every station operation in conjunction with station operating plan;
Standard time and plant factor according to revised every station operation are calculated the station operation ability that obtains.
2. the method for claim 1 is characterized in that, the described step of obtaining the raw data that the station operation standard time vouches from the monitoring equipment of station specifically comprises:
Obtain station switching value raw data according to the signal microcomputer monitoring system;
Obtain train interval motion time raw data according to the train operation monitoring register system.
3. the method for claim 1 is characterized in that, describedly according to the station operation kind described raw data is classified, and calculates standard time of obtaining every station operation and the step of plant factor specifically comprises:
Described raw data is carried out the isomeric data conversion, obtain the data of consolidation form;
According to the station operation kind data of described consolidation form are classified and to obtain the station turnout ability and utilize situation, section without a switch ability to utilize situation and the train statistic data by the section operation time-division;
Calculate time standard and the plant factor of every station operation according to described statistic data.
4. method as claimed in claim 4 is characterized in that, the described step that the raw data of described classification is revised standard time and the plant factor of every station operation in conjunction with station operating plan specifically comprises:
According to data characteristics the data of described consolidation form are carried out rejecting abnormal data;
Data to disappearance are carried out the data polishing;
Data behind the polishing are processed the corrected parameter that calculates different accessibilities;
According to described corrected parameter the data of described consolidation form are revised.
5. the method for claim 1 is characterized in that, the described step of calculating acquisition station operation ability according to standard time and the plant factor of revised every station operation comprises:
When described station operation ability was the throat handling capacity, computing method comprised:
Calculating takies the time standard of throat;
Calculate the total holding time of each track switch group of bottle-neck section;
Calculate throat point group handling capacity utilization factor;
Calculate respectively the handling capacity of throat point group by each closure of station;
Perhaps
When described station operation ability was carrying capacity of receiving departure track, computing method comprised:
Calculating takies the hair line time standard;
Calculate the hair line total holding time;
Calculate the carrying capacity of receiving departure track utilization factor;
Calculate hair line sending and receiving car handling capacity by direction and different classes of goods train;
The station carrying capacity of receiving departure track is each parking lot handling capacity sum;
When described station operation ability was sorting capacity at station, computing method comprised:
The calculating diel takies the T.T. of hump or shunting neck;
Calculate hump or involve the reorganization capacity utilization ratio;
Calculate respectively the reorganization ability of each closure of station, comprise and separate ability of immigrants and mardelling capacity.
6. the system of station operation standard time and Capacity assessment is characterized in that, comprises raw data deriving means, original data processing device, data correction device and station operation capacity calculation device;
Described raw data deriving means is used for obtaining the raw data that the station operation standard time vouches from the station monitoring equipment;
Described original data processing device is used for according to the station operation kind described raw data being classified, and calculates standard time and the plant factor that obtains every station operation;
Described data correction device is used for the raw data of described classification is revised standard time and the plant factor of every station operation in conjunction with station operating plan;
Described station operation capacity calculation device is used for calculating the station operation ability that obtains according to standard time and the plant factor of revised every station operation.
7. system as claimed in claim 6 is characterized in that, described raw data deriving means further comprises switching value data acquiring unit and train interval motion time data capture unit;
Described switching value data acquiring unit is used for obtaining station switching value raw data according to the signal microcomputer monitoring system;
Described train interval motion time data capture unit is used for obtaining train interval motion time raw data according to the train operation monitoring register system.
8. system as claimed in claim 6 is characterized in that, described original data processing device further comprises Date Conversion Unit, data statistics unit sum test statistics data processing unit;
Described Date Conversion Unit is used for described raw data is carried out the isomeric data conversion, obtains the data of consolidation form;
Described data statistics unit is used for according to the station operation kind data of described consolidation form being classified, and obtains the station turnout ability and utilizes situation, section without a switch ability to utilize situation and train to pass through the statistic data of section operation time-division;
Described statistic data processing unit is for the time standard and the plant factor that calculate every station operation according to described statistic data.
9. system as claimed in claim 6 is characterized in that, described data correction device further comprises rejecting abnormal data unit, Completing Missing Values unit, corrected parameter computing unit and data correction unit;
Described rejecting abnormal data unit is used for according to data characteristics the data of described consolidation form being carried out rejecting abnormal data;
Described Completing Missing Values unit is used for the data of disappearance are carried out the data polishing;
Described corrected parameter computing unit is used for data behind the polishing are processed the corrected parameter that calculates different accessibilities;
Described data correction unit is used for according to described corrected parameter the data of described consolidation form being revised.
10. system as claimed in claim 6 is characterized in that, described station operation capacity calculation device further comprises at least a in throat handling capacity computing unit, carrying capacity of receiving departure track computing unit or the sorting capacity at station computing unit;
Described throat handling capacity computing unit is used for calculating the time standard that takies throat; Calculate the total holding time of each track switch group of bottle-neck section; Calculate throat point group handling capacity utilization factor; Calculate respectively the handling capacity of throat point group by each closure of station;
Described carrying capacity of receiving departure track computing unit is used for calculating and takies the hair line time standard; Calculate the hair line total holding time; Calculate the carrying capacity of receiving departure track utilization factor; Calculate hair line sending and receiving car handling capacity by direction and different classes of goods train; The station carrying capacity of receiving departure track is each parking lot handling capacity sum;
Described sorting capacity at station computing unit is used for calculating the T.T. that diel takies hump or shunting neck; Calculate hump or involve the reorganization capacity utilization ratio; Calculate respectively the reorganization ability of each closure of station, comprise and separate ability of immigrants and mardelling capacity.
CN2012105401220A 2012-12-13 2012-12-13 Method and system for checking station operating standard time and capabilities Pending CN103049652A (en)

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Cited By (7)

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Publication number Priority date Publication date Assignee Title
CN105172845A (en) * 2015-09-23 2015-12-23 张佰敏 Operation supervisory system for railway station
CN108804533A (en) * 2018-05-04 2018-11-13 佛山科学技术学院 A kind of filter method and device of isomery big data information
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CN110356438A (en) * 2019-06-11 2019-10-22 北京全路通信信号研究设计院集团有限公司 A kind of real-time capacity calculation method and system
CN110356438B (en) * 2019-06-11 2021-07-06 北京全路通信信号研究设计院集团有限公司 Real-time capability calculation method and system
CN110569181A (en) * 2019-08-27 2019-12-13 神华包神铁路集团有限责任公司 System capability evaluation method and device and computer equipment
CN111645730A (en) * 2020-06-16 2020-09-11 武汉钢铁有限公司 Locomotive operation efficiency analysis system

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Application publication date: 20130417