An intelligent departure notice system based on LTE-R network and implementation method

Abstract

The present invention discloses an intelligent departure notice system based on LTE-R network and an implementation method thereof. The system is composed of CTC equipment, a departure notice server, a train CIR-L locomotive station and an LTE-R network. The CTC equipment and the train CIR-L locomotive station respectively send the driving plan data and the wireless train number information to the departure notice server, and the departure notice server intelligently calculates the departure notice information according to the driving plan data and the wireless train number information, and automatically sends the departure notice information to the CIR-L locomotive station of the train stopping at the station, and the train CIR-L locomotive station prompts the driver of the departure notice information through voice and interface display. This method can solve the problem of long interval occupancy time and reduced transportation efficiency of freight railways due to frequent stops of trains at stations and the inability of drivers to obtain the departure time in time, and can improve the transportation frequency, efficiency and transportation volume of freight railways.

Description

Technical Field

[0001] The present invention relates to freight railway train departure announcement, and in particular to an intelligent departure announcement system based on LTE-R network and an implementation method thereof, belonging to the technical field of intelligent railway application. Background Art

[0002] At present, domestic freight railway trains stop at stations frequently, and the waiting time for departure after stopping is long. In the decentralized self-discipline mode, the CTC system does not announce the departure time after stopping at the intermediate station. According to relevant regulations, trains that stop at the intermediate station for more than 20 minutes must complete a simple test, and it takes 10-12 minutes for a 10,000-ton train to complete a simple test. Because the CTC system does not announce the departure time, the train driver does not know the departure time and cannot do a simple test in advance. He has to wait until the exit signal is opened before doing a simple test, which prolongs the interval occupancy time and affects the transportation efficiency. Calculated by extending the occupancy of each station by 10 minutes, the operation of the entire line will be extended by at least 2 hours, which seriously affects the transportation efficiency, but there is no effective solution at present. Therefore, it is urgent to develop a technical means to automatically send the departure plan to the train after the train stops at the station, so that the driver can understand the next driving arrangement, which will help to make relevant preparations in advance, reduce the interval occupancy time, increase the transportation frequency and transportation efficiency, increase the transportation volume, and increase production and income. Summary of the invention

[0003] In order to solve the problem of reduced transportation efficiency caused by freight railway train drivers not knowing the departure time, the present invention provides an intelligent departure announcement system based on LTE-R network and an implementation method, so as to realize the function of automatically sending departure announcement information to the train after the train stops at the station.

[0004] The technical solution adopted by the present invention is: an intelligent departure notice system based on LTE-R network, the system is composed of CTC equipment, departure notice server, LTE-R network and train CIR-L locomotive station;

[0005] The CTC device is connected to a departure notice server, and the departure notice server is connected to multiple train CIR-L locomotive stations through an LTE-R network; the CTC device is used to provide driving plan data; the train CIR-L locomotive station is used to provide wireless train number information; the departure notice server is used for intelligent calculation of driving plan data and wireless train number information, generates departure notice information, and automatically sends it to the train CIR-L locomotive station; the LTE-R network is used to provide a wireless channel between the departure notice server and the train CIR-L locomotive station.

[0006] A method for implementing an intelligent vehicle departure notice system based on an LTE-R network, wherein the intelligent operation process performs the following operations:

[0007] Step 1: The departure notice server receives wireless train number information sent by CIR-L locomotive stations of multiple trains through the LTE-R network, and extracts train data of each train from all wireless train number information;

[0008] Step 2: The departure notice server receives the driving plan data sent by the CTC device, and extracts the driving data of each train from all the driving plan data;

[0009] Step 3, the departure notice server traverses all train data and driving data, and when there is a train locomotive number and train number that match the driving data in the train data, extract the train data and the driving data, and re-match when there is no matching train locomotive number and train number, and calculate whether the train stops at the stop station in the driving data when they match;

[0010] Step 4: The departure notice server determines that the train is at a stop station and generates departure notice information;

[0011] Step 5: The departure notice server sends the generated departure notice information to the train CIR-L locomotive station corresponding to the train locomotive number and train number in the departure notice information through the LTE-R network;

[0012] Step 6: The train CIR-L locomotive station receives and analyzes the departure notice information through the LTE-R network, and prompts the train driver of the estimated departure time through voice playback and interface display.

[0013] The train data of each train extracted in step 1 includes the train locomotive number, train number, kilometer mark and longitude and latitude.

[0014] The driving data of each train extracted in step 2 includes the train locomotive number, train number, stop station name, longitude and latitude of the stop station preset point, kilometer mark of the stop station preset point, expected arrival time, and planned departure time.

[0015] The method for calculating whether the train stops at the stop station in the driving data described in step 3 is as follows: calculate the distance between the longitude and latitude in the train data and the longitude and latitude of the preset point of the stop station in the driving data. If the distance is less than 50 meters and is less than 50 meters for 10 consecutive calculations, it is determined that the train is in the stop station. If the longitude and latitude in the train data are invalid, calculate the distance between the kilometer mark in the train data and the kilometer mark of the preset point of the stop station in the driving data. If the distance is less than 50 meters and is less than 50 meters for 10 consecutive calculations, it is determined that the train is in the stop station.

[0016] If the longitude, latitude and kilometer mark in the train data are invalid, calculate the time interval between the local time of the departure notice server and the estimated arrival time in the driving data. If the time interval is less than 3 minutes, the train is deemed to be at the next stop station.

[0017] The method for generating the departure notice information by the departure notice server in step 4 when determining that the train is at a stop station is as follows: the train locomotive number and train number in the departure notice information use the train locomotive number and train number in the driving data that match the train locomotive number and train number, the stop station name in the departure notice information uses the stop station name in the driving data that matches the train locomotive number and the estimated departure time in the departure notice information uses the estimated departure time in the driving data that matches the train locomotive number and the train number, if the interval between the estimated departure time in the driving data that matches the train locomotive number and the time when the train is determined to be at the stop station is greater than 20 minutes, whether to perform a brief test in the departure notice information is set to perform a brief test, otherwise it is set to not perform a brief test.

[0018] The beneficial effects of the present invention are as follows: the present invention realizes the intelligent calculation and automatic sending of the departure notice of freight railway trains, the train driver can obtain the departure notice information in time, and can conduct a brief test in advance according to the departure notice information to reduce the interval occupancy time. Based on 15 stop stations for each transportation line, each stop station takes 10 minutes less for a brief test, the present invention can shorten the transportation time of the entire line by at least 150 minutes, and 150 minutes can ensure that at least one train is added for transportation every day, greatly increasing the transportation frequency and transportation efficiency, and the annual production capacity can be increased by more than one million yuan.

[0019] This method can solve the practical problem of reduced transportation efficiency caused by long section occupancy time due to frequent train stops at stations and train drivers' inability to obtain train departure times in a timely manner in freight railway transportation, which helps to improve the transportation frequency, efficiency and volume of freight railways. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 It is a block diagram of the system connection principle of the present invention;

[0021] Figure 2 It is a flow chart of intelligent calculation in an embodiment of the present invention. DETAILED DESCRIPTION

[0022] The present invention will be further described below with reference to the accompanying drawings and embodiments:

[0023] Reference Figure 1 , an intelligent train departure notice system based on LTE-R network, the system consists of CTC equipment, train departure notice server, train CIR-L locomotive station and LTE-R network;

[0024] The CTC equipment and the departure notice server are connected by wire. The CTC equipment provides driving plan data and uses existing standard CTC equipment to send the edited driving plan data to the departure notice server. Multiple train CIR-L locomotive stations send the wireless train number information in the enterprise standard format to the departure notice server through the LTE-R network. The departure notice server receives the driving plan data and the wireless train number information in the enterprise standard format, and intelligently calculates the departure notice information based on the driving plan data and the wireless train number information in the enterprise standard format, and automatically sends it to the train CIR-L locomotive station through the LTE-R network. The train CIR-L locomotive station receives and parses the departure notice information, and prompts the train driver of the estimated departure time through voice playback and interface display.

[0025] Example 1, reference Figure 2 , a method for implementing an intelligent vehicle departure notice system based on LTE-R network, the intelligent operation process performs the following operations:

[0026] Step 1: The departure notice server receives the wireless train number information in the enterprise standard format sent by the CIR-L locomotive stations of Train 1, Train 2, Train 3, and Train 4 through the LTE-R network, and extracts the train locomotive number, train number, longitude and latitude, and kilometer mark: the train locomotive number of train data 1 is 14206898, the train number is 25438, the longitude and latitude are invalid, and the kilometer mark is 113km348m; the train locomotive number of train data 2 is 14204309, The train number is 26098, the longitude and latitude are 117.067883 / 39.063163, and the kilometer mark is 125km632m. The locomotive number of train data 3 is 14207894, the train number is 27665, the longitude and latitude are invalid, and the kilometer mark is invalid. The locomotive number of train data 4 is 14202566, the train number is 22875, the longitude and latitude are 117.023354 / 39.908579, and the kilometer mark is 105km812m.

[0027] Step 2: The departure notice server receives the driving plan data sent by the CTC device, and extracts the train locomotive number, train number, stop station name, stop station preset point longitude and latitude, stop station preset point kilometer mark, estimated arrival time, and planned departure time as follows: The train locomotive number of driving data 1 is 14204309, the train number is 26098, the stop station name is a certain city South Station, the stop station preset point longitude and latitude are 117.06782 / 39.062652, the stop station preset point kilometer mark is 125km640m, the estimated arrival time is 2024 / 02 / 28 09:23, and the planned departure time is 2024 / 02 / 28 09:52, the train locomotive number of driving data 2 is 14206898, the train number is 25438, the stop station name is a certain city South Station, the preset latitude and longitude of the stop station is 117.06782 / 39.062652, the preset kilometer mark of the stop station is 125km640m, the estimated arrival time is 2024 / 02 / 28 10:45, the planned departure time is 2024 / 02 / 28 10:53, the train locomotive number of driving data 3 is 14207894, the train number is 27665, the stop station name is a certain city South Station, the preset latitude and longitude of the stop station is 117.06782 / 39.062652, the preset kilometer mark of the stop station is 125km640m, and the estimated arrival time is 2024 / 02 / 28 11:37, scheduled departure time is 2024 / 02 / 28 11:49.

[0028] Step 3: The departure notice server traverses all train data and driving data. The trains that match are the train with locomotive number 14206898 and train number 25438, the train with locomotive number 14204309 and train number 26098, and the train with locomotive number 14207894 and train number 27665. The trains that do not match are the train with locomotive number 14202566 and train number 22875. The trains that do not match are retraversed and matched. The trains that match calculate whether the train is in The longitude and latitude of the train with locomotive number 14206898 and train number 25438 are invalid in the stop station. The train kilometer mark is used for calculation. The train kilometer mark is 113km348m. The kilometer mark of the preset point of the stop station is 125km640m. The spacing is 12292 meters, which is greater than 50 meters. It is not in the stop station, and the departure notice information is not generated. Re-traversal matching is performed. The longitude and latitude and kilometer mark of the train with locomotive number 14207894 and train number 27665 are invalid. The estimated arrival time is used for calculation, and the estimated arrival time is 2024 / 02 / 28 11:37, local time is 2024 / 02 / 28 09:23, time interval is 2 hours and 14 minutes, greater than 3 minutes, not in the stop station, no departure notice information is generated and re-traversal matching is performed, the longitude and latitude of the train with locomotive number 14204309 and train number 26098 is valid, calculated using longitude and latitude, the longitude and latitude of the train is 117.067883 / 39.063163, the longitude and latitude of the stop station preset point is 117.06782 / 39.062652, the spacing is 8 meters, less than 50 meters, and the continuous calculation is less than 50 meters for 10 times, it is determined that the train is in the stop station, and the stop time is recorded as 2024 / 02 / 28 09:23, the departure notice server calculates the train stop time 2024 / 02 / 28 09:23 and the estimated departure time 2024 / 02 / 28 09:52, the time interval is 29 minutes, which is greater than 20 minutes, so a brief test is required.

[0029] Step 4. The departure notice server determines that the train with locomotive number 14204309 and train number 26098 is at the stop station and generates departure notice information. The locomotive number of the train in the departure notice information is 14204309, the train number is 26098, the stop station name is a certain city South Station, and the estimated departure time is 2024 / 02 / 28 09:52. Whether to conduct a simple test is to conduct a simple test.

[0030] Step 5: The departure notice server sends the generated departure notice information to the CIR-L locomotive platform of the train with the locomotive number 14204309 and the train number 26098 in the departure notice information through the LTE-R network.

[0031] Step 6. The CIR-L locomotive station of train 2 receives the departure notice information through the LTE-R network, and parses the train locomotive number 14204309 and train number 26098 in the departure notice information to find that they are consistent with the locomotive number and train number of this train. The train driver is prompted with the estimated departure time through voice playback and interface display. The driver performs a brief test according to the requirements of the departure notice information, and then waits for the train to start according to the estimated departure time in the departure notice information.

Claims

1. An intelligent departure notice system based on LTE-R network, characterized in that: The system is composed of CTC equipment, departure notice server, LTE-R network and train CIR-L locomotive station; The CTC device is connected to a train departure notice server, and the train departure notice server is connected to a plurality of train CIR-L locomotive stations via an LTE-R network; The CTC device is used to provide driving plan data; The train CIR-L locomotive station is used to provide wireless train number information. The departure notice server traverses all train data and driving data. When there is a train locomotive number and train number that match the driving data in the train data, the train data and the driving data are extracted. If there is no matching train locomotive number and train number, they are re-matched. If they match, it is calculated whether the train stops at the stop station in the driving data. The departure notice server is used for intelligent calculation of the driving plan data and the wireless train number information to generate the departure notice information. The train locomotive number and train number in the departure notice information use the train locomotive number and train number in the driving data that match the train. The stop station name in the departure notice information uses the stop station name in the driving data that match the train. The estimated departure time in the departure notice information uses the estimated departure time in the driving data that match the train. If the interval between the estimated departure time in the driving data that match the train is greater than 20 minutes and the time when the train is judged to be in the stop station, whether to perform a brief test in the departure notice information is set to perform a brief test, otherwise it is set to not perform a brief test, and it is automatically sent to the train CIR-L locomotive station; The LTE-R network is used to provide a wireless channel between the departure notice server and the train CIR-L locomotive station.

2. A method for implementing the intelligent departure notification system based on LTE-R network according to claim 1, characterized in that: The intelligent computing process performs the following operations: Step 1: The departure notice server receives wireless train number information sent by CIR-L locomotive stations of multiple trains through the LTE-R network, and extracts train data of each train from all wireless train number information; Step 2: The departure notice server receives the driving plan data sent by the CTC device, and extracts the driving data of each train from all the driving plan data; Step 3, the departure notice server traverses all train data and driving data, and when there is a train locomotive number and train number that match the driving data in the train data, extract the train data and the driving data, and re-match when there is no matching train locomotive number and train number, and calculate whether the train stops at the stop station in the driving data when they match; Step 4: the departure notice server determines that the train is in a stop station and generates departure notice information. The locomotive number and train number in the departure notice information use the locomotive number and train number in the driving data that match the train. The stop station name in the departure notice information uses the stop station name in the driving data that matches the train. The estimated departure time in the departure notice information uses the estimated departure time in the driving data that matches the train. If the interval between the estimated departure time in the driving data that matches the train is greater than 20 minutes and the time when the train is determined to be in a stop station, whether to perform a brief test in the departure notice information is set to perform a brief test, otherwise it is set to not perform a brief test. Step 5: The departure notice server sends the generated departure notice information to the train CIR-L locomotive station corresponding to the train locomotive number and train number in the departure notice information through the LTE-R network; Step 6: The train CIR-L locomotive station receives and analyzes the departure notice information through the LTE-R network, and prompts the train driver of the estimated departure time through voice playback and interface display.

3. The method for implementing the intelligent vehicle departure notice system based on the LTE-R network according to claim 2 is characterized in that: The train data of each train extracted in step 1 includes the train locomotive number, train number, kilometer mark and longitude and latitude.

4. The method for implementing the intelligent vehicle departure notice system based on the LTE-R network according to claim 2 is characterized in that: The driving data of each train extracted in step 2 includes the train locomotive number, train number, stop station name, longitude and latitude of the stop station preset point, kilometer mark of the stop station preset point, expected arrival time, and planned departure time.

5. The method for implementing the intelligent vehicle departure notice system based on LTE-R network according to claim 2 is characterized in that: The method for calculating whether the train stops at the stop station in the driving data described in step 3 is as follows: calculate the distance between the longitude and latitude in the train data and the longitude and latitude of the preset point of the stop station in the driving data. If the distance is less than 50 meters and is less than 50 meters for 10 consecutive calculations, it is determined that the train is in the stop station. If the longitude and latitude in the train data are invalid, calculate the distance between the kilometer mark in the train data and the kilometer mark of the preset point of the stop station in the driving data. If the distance is less than 50 meters and is less than 50 meters for 10 consecutive calculations, it is determined that the train is in the stop station. If the longitude, latitude and kilometer mark in the train data are invalid, calculate the time interval between the local time of the departure notice server and the estimated arrival time in the driving data. If the time interval is less than 3 minutes, the train is deemed to be at the next stop station.

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