CN107563686B - Method and system for verifying eighteen statistical data of railway transportation and storage medium - Google Patents
Method and system for verifying eighteen statistical data of railway transportation and storage medium Download PDFInfo
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Abstract
The invention provides a method, a system and a storage medium for verifying eighteen statistical data in railway transportation, wherein the method comprises the following steps: acquiring eighteen-point statistical basic data, wherein the eighteen-point statistical basic data are associated with the car number; extracting logically related vehicle redundant data from the eighteen-point statistical basic data based on the vehicle number; and performing logic verification on the vehicle redundant data, updating the data based on a verification result, and generating verified eighteen-point statistical data. The method and the system can ensure the accuracy and the consistency of the data and prevent the situations of false, misrepresentation and report hiding from all levels of departments for finishing plan indexes.
Description
Technical Field
The invention relates to the technical field of eighteen statistical analysis of railway transportation, in particular to a method and a system for checking eighteen statistical data of railway transportation and a storage medium.
Background
Eighteen railway statistics are important basic work of railway transportation organization, dispatching command and operation management, and are important basis for daily transportation production command and decision. The method is used as a collection source point of the production information of the whole-road transportation, timely, accurately and comprehensively completes the collection of the eighteenth-point transportation information of the station, processes and analyzes the production condition of the railway freight transportation, and has important functions and significance for organizing and commanding the railway transportation production and improving the production efficiency of the railway transportation. For years, eighteen-point statistical informatization of stations is a weak link in eighteen-point transportation statistical informatization construction of the whole road. Most stations on the whole road still stay in the traditional manual statistics mode, especially in large and medium stations with complex business, the labor intensity of statistics personnel is high, the repetitive work is more, and the accuracy of the statistics work cannot be effectively guaranteed.
With the continuous deepening of railway reform, the railway freight transportation volume increases year by year, and as a station of eighteen statistical data acquisition origin points on the whole road, the statistical work is more and more emphasized, the statistical work is more and more large, the traditional statistical method and the statistical mode can not meet the requirements of modern transportation production, and the timeliness and the accuracy of statistics are more and more difficult to guarantee. In particular, eighteen statistical work at stations has the following limitations: (1) the station data source is inaccurate, and the conditions of wrong, repeated and missing car numbers are very common; (2) the station truck holding capacity usually has the condition that the statistical result is inconsistent with the actual condition, and most stations are unwilling to adjust the holding capacity data for protecting the benefit of the station; (3) eighteen-point statistics adopts two modes of number system and non-number system to be mixed, and the statistics has irregular conditions. In this case, accuracy and consistency of statistical data are difficult to be ensured, and various problems are easily caused.
Therefore, how to overcome the limitation in the eighteen-point statistical work of the existing railway to ensure the uniformity and accuracy of the eighteen-point data is a technical problem to be solved urgently.
Disclosure of Invention
Aiming at the problems in the prior art, the embodiment of the invention provides a method and a system for checking eighteen statistical data of railway transportation, which are used for acquiring redundant data in collected statistical basic data based on a train number so as to realize automatic logic check on the eighteen statistical data by utilizing the redundant data, thereby ensuring the accuracy and consistency of the eighteen statistical data.
The technical scheme of the invention is as follows:
a method for verifying eighteen statistical data of railway transportation comprises the following steps:
acquiring eighteen-point statistical basic data, wherein the eighteen-point statistical basic data are associated with the car number;
extracting logically related vehicle redundant data from the eighteen-point statistical basic data based on the vehicle number;
and performing logic verification on the vehicle redundant data, updating the data based on a verification result, and generating verified eighteen-point statistical data.
In one embodiment, the eighteen-point statistical basic data includes eighteen-point statistical related raw data, vehicle freight operation record data and vehicle state record data, and the step of collecting eighteen-point statistical basic data includes: automatically collecting eighteen points of statistical related original data from a basic information system, wherein the eighteen points of statistical related original data are associated with the vehicle number; and acquiring the vehicle freight operation record data and the vehicle state record data which are associated with the vehicle number.
In one embodiment, the base information systems include at least one of the following: the system comprises a railway transportation management information system TMIS, a freight train technical management information system HMIS, a dispatching command management information system DMIS, a railway transportation statistical information system SMIS and a railway train number automatic identification system ATIS.
In one embodiment, the eighteen statistical raw data comprises: and information of arriving trains and vehicles.
In an embodiment, the method further comprises: and storing, displaying and/or reporting the eighteen statistical data which pass the logic verification.
In an embodiment, the method further comprises: and before the logic verification, the vehicle number statistics and confirmation are carried out on the collected data.
In one embodiment, the step of logically checking the vehicle redundancy data includes checking the logical relationship between the vehicle redundancy data using a pre-stored logical relationship, so as to check the collected data.
In one embodiment, the pre-stored logical relationship comprises: the logical relationship of the process of the operation time of the truck vehicle, the logical relationship of the stop time of the non-operating vehicle, the logical relationship of the conversion time of the non-operating vehicle, the conversion times and/or the conversion type logical relationship.
The embodiment of the invention also provides a system for verifying the eighteen statistical data in railway transportation, which comprises a processor, wherein a computer program is stored in the processor, and the computer program is executed by the processor to realize the steps of the method for verifying the eighteen statistical data in railway transportation.
The embodiment of the invention also provides a computer storage medium, wherein a computer program is stored in the computer storage medium, and when the computer program is executed, the method for verifying the eighteen statistical data of railway transportation is executed.
The method and the system for checking the eighteen statistical data of the railway transportation can ensure the accuracy and the consistency of the data and prevent the situations of false, false and concealed reports of each level of departments for finishing the plan indexes.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the principles of the invention. In the drawings:
FIG. 1 is a flow chart of a method for verifying eighteen statistical data in railway transportation according to an embodiment of the present invention;
FIG. 2 is a flow chart of data acquisition in one embodiment of the present invention;
FIG. 3 is a schematic illustration of collecting vehicle condition record data in an embodiment of the present invention;
FIG. 4 is a schematic diagram of collecting shipping operation record data in an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be described in further detail with reference to the following embodiments and accompanying drawings. The exemplary embodiments and descriptions of the present invention are provided to explain the present invention, but not to limit the present invention.
It should be noted that, in order to avoid obscuring the present invention with unnecessary details, only the structures and/or processing steps closely related to the scheme according to the present invention are shown in the drawings, and other details not so relevant to the present invention are omitted.
In order to overcome the problem of inaccurate statistical data in the prior art, the embodiment of the invention provides a railway transportation eighteen-point statistical data verification method, which can be executed by executing railway transportation eighteen-point statistical data verification software stored in a processor, wherein the processor can be located in a station section or a traffic section as a part of a railway transportation eighteen-point statistical analysis system. In a preferred embodiment of the present invention, the eighteenth-point statistical data verification software for railway transportation may be stored as a program module in the eighteenth-point statistical data analysis software for railway transportation in the eighteenth-point statistical analysis system for railway transportation, and the data verification is performed when the user performs the eighteenth-point statistical data analysis for railway transportation, but the present invention is not limited thereto. As shown in fig. 1, the method for verifying eighteen statistical data in railway transportation according to the embodiment of the present invention includes steps S110 to S150:
in step S110, eighteen statistical basic data associated with the car number are collected.
The eighteen-point statistical base data can comprise bottom-layer raw data from the basic information system, and can also comprise data collected from eighteen-point statistical sites, such as vehicle freight operation record data and vehicle state record data. In this case, as shown in fig. 2, the eighteen-point statistical basic data collecting step S110 may further include:
step S210, eighteen points of statistical relevant original data from the basic information system are automatically collected, and the eighteen points of statistical relevant original data are associated with the vehicle number.
Eighteen statistical related original data can comprise data such as arrival and departure train and vehicle information, the main sources of the arrival and departure train and vehicle information are confirmed data from each basic information system, and a manual input mode can be adopted when the confirmed data information is missing or does not exist.
The basic information system may be one or more of railway transportation production systems such as a railway Transportation Management Information System (TMIS), a truck technical management information system (HMIS), a dispatch and command management information system (DMIS), a Station Management Information System (SMIS), and an automatic railway car number identification system (ATIS). The ATIS can be combined with other railway transportation production systems to provide automatic identification information of the train number for the other railway transportation production systems, and automatic checking of the train number can be realized; the TMIS mainly comprises subsystems such as confirmed newspaper, a goods ticket, a transportation plan, a vehicle, a marshalling station, a freight station, a section station, substation dispatching, real-time tracking of a truck, real-time tracking of a locomotive, real-time tracking of a container, daily transportation statistics, current vehicle and traffic flow calculation and the like, and is used for providing corresponding information; the DMIS (or called TDCS, railway dispatching management information system) can be combined with ATIS to realize automatic input of train number and automatic check and tracking to realize automatic point reporting, right and late point counting, vehicle passing counting, automatic generation of train operation adjusting scheme, automatic issuing of dispatching command, automatic filling of station travel log and the like. The HMIS is used for realizing the management of the whole process of production, overhaul and technology of the wagon, and provides accurate, timely and complete technical information for the service transportation and safety guarantee of the wagon at any time through the wagon technology dynamic information base. The SMIS and the ATIS are combined to automatically complete the task of receiving the train, automatically load the information of the arriving train between stations, automatically record the arriving and departure time, automatically complete the statistics of the information storage of the loading and unloading train on the cargo information, display the signal state of the track in real time, display the position of the locomotive in the station, and transmit the shunting operation list infinitely, etc. The basic information system listed above is only an example and is an existing system, and is not described herein again, and the basic information system actually used may also include more systems, and is not limited to the above-listed systems or subsystems.
In the invention, a full-parameterization design idea is adopted, an ETL (extraction, conversion and loading) data integration platform is utilized, a related information source data acquisition standard interface, a file format and a data transmission mode are designed, and the data acquisition standard interface, the file format and the data transmission mode can be seamlessly connected with systems such as TMIS, DMIS, ATIS, SMIS, HMIS and the like and can be shared with data, so that eighteen statistical original data can be automatically received from each basic information system.
In the invention, eighteen statistical related original data collected from each basic information system are associated with the car number, so that redundant data are extracted based on the car number and are subjected to logic verification, and number system data statistics is realized based on the car number.
Preferably, in the embodiment of the present invention, for example, after the acknowledged data is collected from the TMIS and other systems, the acknowledged data may be subjected to vehicle number statistics and confirmation, such as checking in and out, vehicle number checking and vehicle parking, acknowledged and edited, and in case that the acknowledged information is missing or does not exist, the acknowledged information may be manually entered and stored.
In step S230, the shipping work record data and the vehicle state record data associated with the vehicle number are acquired.
The freight operation record data may include, for example, data such as a loading/unloading vehicle record, and the vehicle state record data may include, for example, data such as a non-operational vehicle transition record, but is not limited thereto. The data are all associated with the car numbers so as to facilitate further extraction and reference of the data based on the car numbers.
In the embodiment of the present invention, the main source of the vehicle status record data is the daily operation of the eighteenth statistical analysis system operator, that is, the vehicle operation-non-operation transition information (vehicle operation-non-transition information) input by the operator in the daily work is included, as shown in fig. 3. The main source of the freight operation record data is the daily operation of eighteen statistical analysis system operators, and when a station has a self-developed freight system and can provide vehicle freight operation information meeting requirements, vehicle state record information can be automatically imported in an automatic acquisition mode to generate the freight operation record data, as shown in fig. 4.
In step S130, logically-related vehicle redundant data is extracted from the eighteen-point statistical base data based on the vehicle number.
For example, train arrival information and vehicle information corresponding to the car number can be obtained from eighteen collected statistical raw data, and loading/unloading information corresponding to the same car number can be obtained from freight work record data. Therefore, in the present invention, the vehicle redundant data includes data whose contents are overlapped or data whose contents are logically associated.
In step S150, the vehicle redundant data is logically checked, and data updating is performed based on the check result, so as to generate checked eighteen-point statistical data.
In this step, the logical relationship between the vehicle redundant data can be verified using the pre-stored logical relationship, so as to verify the obtained data. As an example, the pre-stored logical relationship may comprise, for example: the logical relationship of the operation time process of the truck, the logical relationship of the stop time of the non-operating vehicle, the logical relationship of the transition times and/or the transition type, etc. are only examples, and the present invention is not limited thereto.
For example, when checking based on the logical relationship of the truck vehicle operation time course, it may be determined whether the truck vehicle operation time course is logical based on the extracted truck vehicle operation time redundant data. According to the time logic relationship of the arrival time, the unloading time, the loading time and the departure time of the freight car, the arrival time of the freight car is earlier than the unloading/loading time (first arrival and later unloading/loading), the unloading time of the heavy car is earlier than the loading time (first unloading and later loading), and the departure time is later than the loading/unloading time.
The logic relation of the non-operating vehicle transition time can be used for verifying whether the maintenance vehicle transition process is reasonable or not, whether the transition date of the non-operating vehicle is consistent with the statistical date or not, vehicles with too long or too short non-operating vehicle time can be monitored, and the like, and related users can be prompted to check and change if the logic contradiction exists.
By utilizing data such as the logic relationship of the staying time of the non-operating vehicles, the logic relationship of the transition time of the non-operating vehicles, the transition times and/or the transition type logic relationship, suspicious data of the staying and the transition of the non-operating vehicles can be found and the modification of a user can be prompted. The non-commercial vehicle stop time logic may include a non-commercial vehicle stop time anomaly, i.e., the non-commercial stop time of the truck at the station is too long or too short. The non-commercial vehicle transit time logical relationship may include a transit time anomaly, such as a station transit time not coinciding with a statistical date (i.e., the time to transfer into or out of a non-commercial vehicle is not within the current statistical day). The transition number and transition type logical relationship may include: when the number of times of non-operation conversion is abnormal, the same vehicle transfers information of the same non-operation type for many times; and the non-transportation transformation type exception is that a non-transportation type such as a tank washing vehicle should not exist at a certain station.
For another example, the heavy vehicle information may also be verified based on the following heavy vehicle verification logic: and a heavy vehicle checking logic: the balance of the heavy vehicle on the day should be equal to the balance of the heavy vehicle on the day of yesterday + arrival heavy vehicle + loading on the day-departure heavy vehicle-unloading on the day.
Based on various pre-stored logical relations, various eighteen-point data can be verified, so that various departments are prevented from falsifying and privately modifying data for finishing plan indexes, and the accuracy and consistency of the collected data are ensured.
Eighteen statistical basic data collected in the invention are further cleaned through the verification step, and the cleaned data can be stored in a database.
In an embodiment of the present invention, the method of the present invention may further include: and storing, displaying and/or reporting the data passing the logic verification. That is, based on the verification result, the processor may store the verified data to the database, may locally present the verified data to the user, and may be able to generate a report for upload.
The eighteen statistical data verification method for railway transportation can ensure the accuracy and consistency of data, and can prevent all levels of departments from falsifying or privately modifying data or falsifying and reporting to finish planning indexes through the verification of redundant data.
Correspondingly, the invention also provides a railway transportation eighteen-point statistical data verification system, which comprises a processor (or a server) located in a station section or a traffic section, a memory located inside or outside the memory, and a computer program stored in the memory for implementing the railway transportation eighteen-point statistical data verification method, wherein the computer program implements the aforementioned method steps when being executed by the processor, and the computer program can be stored in any computer storage medium (such as a CD-ROM, a U disk, a mobile hard disk and the like).
It will be apparent to those skilled in the art that the modules or steps of the embodiments of the invention described above may be implemented by a general purpose computing device, they may be centralized on a single computing device (e.g., a processor), or distributed across a network of multiple computing devices, and optionally, they may be implemented by program code executable by a computing device, such that they may be stored in a storage device and executed by a computing device, and in some cases, the steps shown or described may be performed in an order different than that shown or described herein, or they may be separately fabricated into individual integrated circuit modules, or multiple ones of them may be fabricated into a single integrated circuit module. Thus, embodiments of the invention are not limited to any specific combination of hardware and software.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the present invention, and various modifications and changes may be made to the embodiment of the present invention by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (8)
1. A method for verifying eighteen statistical data of railway transportation is characterized by comprising the following steps:
acquiring eighteen-point statistical basic data, wherein the eighteen-point statistical basic data are associated with the car number;
extracting logically related vehicle redundant data from the eighteen-point statistical basic data based on the vehicle number;
carrying out logic verification on the logic relationship between the vehicle redundant data by utilizing a pre-stored logic relationship, and updating data based on a verification result to generate verified eighteen-point statistical data;
the pre-stored logical relationship comprises: the logical relationship of the process of the operation time of the truck vehicle, the logical relationship of the stop time of the non-operating vehicle, the logical relationship of the conversion time of the non-operating vehicle, the conversion times and/or the conversion type logical relationship.
2. The method of claim 1, wherein the eighteen point statistics basis data comprises eighteen point statistics related raw data, vehicle freight operations record data, and vehicle status record data, and the step of collecting the eighteen point statistics basis data comprises:
automatically collecting eighteen points of statistical related original data from a basic information system, wherein the eighteen points of statistical related original data are associated with the vehicle number;
and acquiring the vehicle freight operation record data and the vehicle state record data which are associated with the vehicle number.
3. The method of claim 2, wherein the respective base information systems comprise at least one of: the system comprises a railway transportation management information system TMIS, a freight train technical management information system HMIS, a dispatching command management information system DMIS, a railway transportation statistical information system SMIS and a railway train number automatic identification system ATIS.
4. The method of claim 2, wherein the eighteen point statistics raw data comprises:
and information of arriving trains and vehicles.
5. The method of claim 1, further comprising:
and storing, displaying and/or reporting the eighteen statistical data which pass the logic verification.
6. The method of claim 1, further comprising:
and before the logic verification, the vehicle number statistics and confirmation are carried out on the collected data.
7. A railway transportation eighteen point statistical data verification system, characterized in that the system comprises a memory, a processor and a computer program stored on the memory and executable on the processor, which computer program when executed by the processor implements the steps of the method according to any one of claims 1-6.
8. A computer storage medium having a computer program stored therein which, when executed, performs the steps of the method of any one of claims 1-6.
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| CN109117300A (en) * | 2018-07-03 | 2019-01-01 | 千寻位置网络有限公司 | Method of calibration and system, the positioning terminal of data |
| CN110321527B (en) * | 2019-06-11 | 2023-10-03 | 北京科东电力控制系统有限责任公司 | Data validity judging method based on multi-element basic information fusion |
| CN110222990B (en) * | 2019-06-11 | 2021-07-20 | 中国铁道科学研究院集团有限公司电子计算技术研究所 | Train whole-course scheduling method and system based on traffic flow calculation |
| CN113807637B (en) * | 2021-05-17 | 2024-02-20 | 卡斯柯信号有限公司 | Method, device, electronic equipment and medium for automatically checking current vehicle flow |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN101990208B (en) * | 2009-07-31 | 2013-05-15 | 中国移动通信集团公司 | Automatic data checking method, system and equipment |
| CN106339835A (en) * | 2016-08-16 | 2017-01-18 | 淮南矿业(集团)有限责任公司 | Railway freight transportation ticket making management system |
| CN109145027A (en) * | 2017-06-19 | 2019-01-04 | 中兴通讯股份有限公司 | Data statistical approach, device, equipment and computer readable storage medium |
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Address after: 100081 Beijing city Haidian District Daliushu Road No. 2 Patentee after: INSTITUTE OF COMPUTING TECHNOLOGIES, CARS Patentee after: BEIJING JINGWEI INFORMATION TECHNOLOGY Co.,Ltd. Address before: 100081 Beijing city Haidian District Daliushu Road No. 2 Patentee before: INSTITUTE OF COMPUTING TECHNOLOGY, CHINA ACADEMY OF RAILWAY SCIENCES Patentee before: BEIJING JINGWEI INFORMATION TECHNOLOGY Co.,Ltd. |