Vehicle-ground wireless on-demand data transmission method, device, equipment, medium and product

Abstract

The invention discloses a vehicle-ground wireless on-demand data transmission method, device and equipment, a medium and a product. The method comprises the steps that in the locomotive operation process, comprehensive state data are collected and stored, and each piece of comprehensive state data comprises a timestamp monitoring vector, a power battery data monitoring vector and a locomotive control data monitoring vector; under the condition that an on-demand request message transmitted by ground equipment is received, the on-demand request message is analyzed to obtain a comprehensive on-demand vector, and the comprehensive on-demand vector comprises a time period on-demand vector, and a power battery data on-demand vector and a locomotive control data on-demand vector which use binary elements to identify data on-demand requirements; and according to the comprehensive on-demand vector, performing data screening from the comprehensive state data to obtain a target feedback data set, and returning the target feedback data set to the ground equipment through train-ground wireless transmission. According to the invention, on-demand and selective acquisition of vehicle-mounted data by ground equipment is realized, and pertinence and efficiency of data transmission are improved.

Description

Technical Field

[0001] This invention relates to the field of rail transit communication technology, and in particular to a vehicle-to-ground wireless on-demand data transmission method, apparatus, equipment, medium, and product. Background Technology

[0002] With increasing environmental protection requirements and the development of hybrid power technology, locomotives using power batteries as auxiliary or primary power sources have been widely used in modern railway transportation. As a core component, the health status, performance degradation, and fault warnings of locomotive power batteries directly affect the operational safety of the locomotive. Data related to locomotive power batteries can be transmitted to a ground system for processing and analysis to improve operational safety.

[0003] Currently, monitoring data can be transmitted in batches via a wired connection between the locomotive and ground after the locomotive returns to the depot. However, because the data is transmitted after the locomotive returns, there is a significant data lag, and the large volume of data transmitted in batches is time-consuming, making it difficult for the ground system to quickly analyze and evaluate the battery performance of a single operating cycle. Alternatively, full transmission of monitoring data can be achieved via wireless communication between the locomotive and ground. This method offers some improvement in timeliness compared to the depot-based download solution, but full transmission results in a large amount of unnecessary data consuming wireless channel resources, increasing the storage and parsing burden on the ground system. Summary of the Invention

[0004] This invention provides a vehicle-to-ground wireless on-demand data transmission method, apparatus, equipment, medium, and product, which enables ground equipment to acquire data from vehicle-mounted equipment on demand and selectively, improving the targeting and efficiency of data transmission.

[0005] In a first aspect, embodiments of the present invention provide a vehicle-to-ground wireless on-demand data transmission method, applied to vehicle-mounted equipment, the method comprising:

[0006] During locomotive operation, comprehensive status data is collected and stored. Each comprehensive status data includes a timestamp monitoring vector, a power battery data monitoring vector, and a locomotive control data monitoring vector.

[0007] Upon receiving a request message for on-demand data transmitted from ground equipment, the request message is parsed to obtain a comprehensive on-demand vector. The comprehensive on-demand vector includes a time period on-demand vector, as well as a power battery data on-demand vector and a locomotive control data on-demand vector that use binary elements to identify the data on-demand data requirements.

[0008] Based on the comprehensive on-demand vector, a target feedback dataset is obtained by filtering data from the comprehensive status data, and the target feedback dataset is returned to the ground device via vehicle-to-ground wireless transmission.

[0009] Secondly, embodiments of the present invention provide a vehicle-to-ground wireless on-demand data transmission device, configured in an in-vehicle device, the device comprising:

[0010] The acquisition module is used to collect and store comprehensive status data during locomotive operation. Each comprehensive status data includes a timestamp monitoring vector, a power battery data monitoring vector, and a locomotive control data monitoring vector.

[0011] The parsing module is used to parse the on-demand request message transmitted by the ground equipment to obtain a comprehensive on-demand vector. The comprehensive on-demand vector includes a time period on-demand vector, and a power battery data on-demand vector and a locomotive control data on-demand vector that identify data on-demand needs using binary elements.

[0012] The transmission module is used to filter data from the comprehensive status data according to the comprehensive on-demand vector to obtain the target feedback dataset, and to return the target feedback dataset to the ground device through vehicle-to-ground wireless transmission.

[0013] Thirdly, embodiments of the present invention provide an electronic device, as a vehicle-mounted device, comprising:

[0014] At least one processor; and

[0015] A memory communicatively connected to the at least one processor; wherein,

[0016] The memory stores a computer program that can be executed by the at least one processor to enable the at least one processor to perform the method as described in the first aspect.

[0017] Fourthly, embodiments of the present invention provide a computer-readable storage medium storing computer instructions that cause a processor to execute the method described in the first aspect.

[0018] Fifthly, embodiments of the present invention provide a computer program product, the computer program product including a computer program, which, when executed by a processor, implements the method described in the first aspect.

[0019] The technical solution of this invention involves collecting and storing comprehensive status data during locomotive operation. Each comprehensive status data includes a timestamp monitoring vector, a power battery data monitoring vector, and a locomotive control data monitoring vector. Upon receiving a request message from ground equipment, the request message is parsed to obtain a comprehensive request vector. This comprehensive request vector includes a time period request vector, and power battery data request vectors and locomotive control data request vectors identified by binary elements. Based on the comprehensive request vector, data is filtered from the comprehensive status data to obtain a target feedback dataset, which is then returned to the ground equipment via vehicle-to-ground wireless transmission. This solution provides a vectorized request and filtering mechanism. By transmitting request messages from ground equipment to onboard equipment, it enables on-demand and selective acquisition of data from onboard equipment by ground equipment. The rapid response of onboard equipment to request messages significantly reduces wireless channel load and improves the targeting and efficiency of data transmission.

[0020] It should be understood that the description in this section is not intended to identify key or essential features of the embodiments of the present invention, nor is it intended to limit the scope of the invention. Other features of the invention will become readily apparent from the following description. Attached Figure Description

[0021] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0022] Figure 1 This is a flowchart of a vehicle-to-ground wireless on-demand data transmission method according to Embodiment 1 of the present invention;

[0023] Figure 2 This is a logical schematic diagram of a power battery data screening program provided according to Embodiment 1 of the present invention;

[0024] Figure 3 This is a logical schematic diagram of a locomotive control data filtering program provided according to Embodiment 1 of the present invention;

[0025] Figure 4 This is a schematic diagram of a vehicle-to-ground wireless on-demand data transmission device according to Embodiment 2 of the present invention;

[0026] Figure 5 This is a schematic diagram of the structure of an electronic device that implements an embodiment of the present invention. Detailed Implementation

[0027] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0028] It should be noted that the terms "first," "second," etc., used in this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0029] Example 1

[0030] Figure 1 This is a flowchart of a vehicle-to-ground wireless on-demand data transmission method according to Embodiment 1 of the present invention. This embodiment is applicable to situations where vehicle-mounted equipment feeds back on-demand data to ground equipment. This method can be executed by a vehicle-to-ground wireless on-demand data transmission device, which can be implemented in software and / or hardware and integrated into an electronic device serving as the vehicle-mounted equipment. Further, the electronic device includes, but is not limited to, computers, laptops, servers, etc. Figure 1 As shown, the method includes:

[0031] S110. During locomotive operation, collect and store comprehensive status data, each of which includes a timestamp monitoring vector, a power battery data monitoring vector, and a locomotive control data monitoring vector.

[0032] Comprehensive status data can be understood as a multi-dimensional data set that senses and collects the locomotive's operating status. In this step, comprehensive status data can be collected in real time or continuously at certain time intervals through a signal detection interface during locomotive operation, and the collected comprehensive status data can be saved to a database in text format for subsequent analysis and processing.

[0033] Each set of comprehensive status data can include a timestamp monitoring vector, a power battery data monitoring vector, and a locomotive control data monitoring vector. The timestamp monitoring vector indicates the timestamp at which the comprehensive status data was collected; the power battery data monitoring vector indicates the power battery data collected at that timestamp, reflecting the performance and status of the power battery; and the locomotive control data monitoring vector indicates the locomotive control data collected at that timestamp, reflecting information related to locomotive control.

[0034] Comprehensive status data It can be represented as: .in, For timestamp monitoring vectors, For power battery data monitoring vector, This is the locomotive control data monitoring vector.

[0035] In one embodiment, timestamp monitoring vector , This refers to the timestamp of the collected comprehensive status data.

[0036] In one embodiment, the power battery data monitoring vector includes, in order, the total voltage data of the power battery pack, the total current data of the power battery pack, the voltage data of each cell, the temperature data of each cell, the ambient temperature data of the thermal protection system, the water inlet temperature data of the thermal protection battery, and the water outlet temperature data of the thermal protection battery; and in the locomotive control data monitoring vector, the locomotive operating condition data, the locomotive handle position data, and the locomotive speed data are arranged in sequence.

[0037] Power battery data monitoring vector representation is as follows Among them, the total voltage data of the power battery pack This refers to the overall voltage of the power battery pack; the total current data of the power battery pack. This refers to the overall current of the power battery pack; individual cell voltage data. This refers to the voltage of a single cell in a power battery pack; and the temperature data of that single cell. This refers to the temperature of a single cell in the power battery pack; ambient temperature data for the thermal protection system. This refers to the ambient temperature within the installation space where the power battery pack is located; the water inlet temperature data for the thermal protection battery. This is the temperature of the coolant before it enters the battery cooling channel; thermal protection battery outlet water temperature data. It is the temperature at which the coolant flows out after absorbing heat from the battery.

[0038] Locomotive control data monitoring vector representation is as follows Among them, locomotive operating condition data This refers to data related to the locomotive's operating conditions; locomotive handle level data. This refers to the gear position of the control levers related to locomotive operation; locomotive speed data. , is the speed of the locomotive.

[0039] S120. Upon receiving a request message for on-demand data transmitted by ground equipment, the request message is parsed to obtain a comprehensive on-demand vector. The comprehensive on-demand vector includes a time period on-demand vector, and a power battery data on-demand vector and a locomotive control data on-demand vector that use binary elements to identify the data on-demand data requirements.

[0040] A play-on-demand request message can be understood as a message sent by ground equipment to the vehicle-mounted equipment via vehicle-to-ground wireless transmission, based on data requested by the ground equipment as needed. Correspondingly, the vehicle-mounted equipment can receive the play-on-demand request message transmitted by the ground equipment via vehicle-to-ground wireless transmission.

[0041] When the vehicle-mounted equipment receives a video-on-demand request message transmitted by the ground equipment, it parses the message, that is, it parses the data carried in the video-on-demand request message to obtain a comprehensive video-on-demand vector.

[0042] A comprehensive on-demand vector can be a vector indicating the data that ground equipment needs to request from onboard equipment. A comprehensive on-demand vector can include: a time-segment on-demand vector that sets the start and end timestamps of on-demand data; a power battery data on-demand vector that sets the on-demand requirement for power battery data; and a locomotive control data on-demand vector that sets the on-demand requirement for locomotive control data.

[0043] Integrated on-demand vector It can be represented as: .in, For timestamp on-demand vectors, Vector for power battery data on demand This is a vector for locomotive control data on-demand.

[0044] In one embodiment, timestamp-on vector , This is the timestamp when the on-demand playback begins. This is the timestamp when the on-demand session ends.

[0045] In one embodiment, the power battery data on-demand vector corresponds bitwise with the power battery data monitoring vector.

[0046] The locomotive control data on-demand vector and the locomotive control data monitoring vector are corresponding bitwise;

[0047] In the power battery data on-demand vector and the locomotive control data on-demand vector, the data to be on-demand is identified by the first binary element, and the data not to be on-demand is identified by the second binary element.

[0048] The power battery data on-demand vector can be represented as .in, Each corresponds bitwise to the power battery data monitoring vector, that is, each corresponds to... The on-demand requirement is set to either 0 or 1. A value of 1 indicates that the corresponding data bit is on-demand data, while a value of 0 indicates that the corresponding data bit is not on-demand data.

[0049] Locomotive control data on-demand vector can be represented as .in, Each corresponds bit-by-bit to the locomotive control data monitoring vector, that is, each corresponds to... The on-demand requirement is set to either 0 or 1. A value of 1 indicates that the corresponding data bit is on-demand data, while a value of 0 indicates that the corresponding data bit is not on-demand data.

[0050] S130. Based on the integrated on-demand vector, the target feedback dataset is obtained by filtering data from the integrated status data, and the target feedback dataset is returned to the ground device via vehicle-to-ground wireless transmission.

[0051] In this step, the timestamps corresponding to the timestamp monitoring vectors can be filtered out from all the comprehensive status data. During the time period, the vector was played on demand. A candidate feedback dataset is constructed using comprehensive status data within a time period.

[0052] Each comprehensive state data included in the candidate feedback dataset is taken as a candidate state data. For each candidate state data, the following operations are performed: from the power battery data monitoring vectors included in the data, target power battery data that meets the power battery data on-demand vector indication needs to be on-demanded is selected to form a target power battery data vector; for each candidate state data, target locomotive control data that meets the locomotive control data on-demand vector indication needs to be on-demanded is selected from the locomotive control data monitoring vectors included in the data to form a target locomotive control data vector.

[0053] The candidate state data, including the timestamp monitoring vector, the target power battery data vector, and the target locomotive control data vector, are recombined into target state data, and the set of target state data is used as the target feedback dataset.

[0054] Once the onboard equipment has determined the target feedback dataset, it can transmit it to the ground equipment via vehicle-to-ground wireless transmission. After receiving the target feedback dataset, the ground equipment can match and parse the target status data for each target included in the dataset, referring to the on-demand requirements set in the on-demand request message. This enables the ground equipment to selectively and on-demand acquire data from the onboard equipment.

[0055] The technical solution of this invention involves collecting and storing comprehensive status data during locomotive operation. Each comprehensive status data includes a timestamp monitoring vector, a power battery data monitoring vector, and a locomotive control data monitoring vector. Upon receiving a request message from ground equipment, the request message is parsed to obtain a comprehensive request vector. This comprehensive request vector includes a time period request vector, and power battery data request vectors and locomotive control data request vectors identified by binary elements. Based on the comprehensive request vector, data is filtered from the comprehensive status data to obtain a target feedback dataset, which is then returned to the ground equipment via vehicle-to-ground wireless transmission. This solution provides a vectorized request and filtering mechanism. By transmitting request messages from ground equipment to onboard equipment, it enables on-demand and selective acquisition of data from onboard equipment by ground equipment. The rapid response of onboard equipment to request messages significantly reduces wireless channel load and improves the targeting and efficiency of data transmission.

[0056] In one embodiment, the target feedback dataset is obtained by filtering data from the comprehensive status data based on the comprehensive on-demand vector, including:

[0057] Select the timestamp corresponding to the timestamp monitoring vector, and the comprehensive status data of the time period corresponding to the time period on-demand vector to construct a candidate feedback dataset;

[0058] For each candidate state data in the candidate feedback dataset, a target power battery data vector is obtained by using a power battery data filtering program combined with a power battery data on-demand vector, and a target locomotive control data vector is obtained by using a locomotive control data filtering program combined with a locomotive control data on-demand vector;

[0059] The candidate state data, including the timestamp monitoring vector, the target power battery data vector, and the target locomotive control data vector, are recombined into target state data, and the set of target state data is used as the target feedback dataset.

[0060] Candidate Feedback Dataset It can be represented as , This is a timestamp. fall into Comprehensive state data within a time period is also known as candidate state data.

[0061] The target power battery data vector is obtained by filtering candidate state data from the power battery data using a power battery data filtering program combined with a power battery data on-demand vector. It can be represented as:

[0062] ;

[0063] in, 1 is the power battery data filtering program; For timestamps The corresponding candidate state data includes the power battery data monitoring vector. for The position in the middle; For power battery data on-demand vectors, for The position in the middle.

[0064] The target locomotive control data vector is obtained by filtering candidate state data using a locomotive control data filtering program combined with locomotive control data on-demand vector. It can be represented as:

[0065] ;

[0066] in, For locomotive control data filtering program; For timestamps The corresponding candidate state data includes locomotive control data monitoring vectors. for The position in the middle; For locomotive control data on-demand vector, for The position in the middle.

[0067] The target state data can then be represented as The target feedback dataset can be represented as... ,in, The total number of target state data in the target feedback dataset.

[0068] In one embodiment, the process of using a power battery data filtering program in conjunction with a power battery data on-demand vector to filter and obtain a target power battery data vector from the candidate state data includes:

[0069] Using a power battery data filtering program, a bitmasking operation is performed on the power battery data on-demand vector and the power battery data monitoring vector included in the candidate state data to obtain the target power battery data vector.

[0070] Figure 2 This is a logical diagram of a power battery data screening program provided in Embodiment 1 of the present invention, consisting of... Figure 2 The bitmask operation process is as follows: Initialize the counter. ,initialization Empty; check the counter Check if the value is less than or equal to the length of the power battery data monitoring vector (i.e., 7). If so, continue the process; determine the current value of the power battery data playback vector. If it equals 1, then the corresponding... Insert into Then increment the counter by one; otherwise, increment the counter directly by one, and return to the previous state after incrementing the counter. The process of checking if the data monitoring vector length of the power battery is less than or equal to the length of the counter continues until the counter is reached. If the data exceeds the length of the power battery data monitoring vector, output the target power battery data vector. .

[0071] In one embodiment, the process of filtering target locomotive control data vectors from candidate state data using a locomotive control data filtering procedure combined with locomotive control data on-demand vectors includes:

[0072] Using a locomotive control data filtering program, a bitmasking operation is performed on the locomotive control data on-demand vector and the locomotive control data monitoring vector included in the candidate state data to obtain the target locomotive control data vector.

[0073] Figure 3 This is a logical diagram of a locomotive control data filtering program provided in Embodiment 1 of the present invention, consisting of... Figure 3 The bitmask operation process is as follows: Initialize the counter. ,initialization Empty; check the counter Check if the value is less than or equal to the length of the locomotive control data monitoring vector (i.e., 3). If so, continue the process; determine the current value of the locomotive control data retrieval vector. If it equals 1, then the corresponding... Insert into Then increment the counter by one; otherwise, increment the counter directly by one, and return to the previous state after incrementing the counter. The process of checking if the length of the locomotive control data monitoring vector is less than or equal to the length of the counter continues until the counter is reached. If the target locomotive control data vector exceeds the locomotive control data monitoring vector length, output the target locomotive control data vector. .

[0074] It should be noted that the ground equipment sets up a video-on-demand request message and sends it to the vehicle-mounted equipment, which can be achieved through the following process: setting the video-on-demand start time and end time, and forming a timestamp video-on-demand vector. Set the power battery data on-demand vector Set the position to be played to 1 and the non-playable position to 0, such as [1,1,0,0,0,0,1]; set the locomotive control data play vector. Set the position to be played to 1 and the non-playable position to 0, such as [1,1,0]; play-on vector based on timestamp. Power battery data on-demand vector Locomotive control data on-demand vector Generate integrated on-demand vector Encapsulate the message into a video-on-demand request message; clear the sending counter; send the video-on-demand request message; increment the sending counter by 1 and delay for 1 minute; determine whether the target feedback dataset has been received from the vehicle-mounted device; if so, match and parse the data in the target feedback dataset; otherwise, continue sending video-on-demand request messages until the maximum number of times can be sent is reached, such as 3 times.

[0075] The advantage of this setup is that ground equipment can freely combine the required data and time ranges, improving the targeting of data analysis. The data structure and on-demand vector design have good parameter expansion capabilities, improving the automation and standardization of the parsing process and adapting to future data additions.

[0076] Example 2

[0077] Figure 4 This is a schematic diagram of a vehicle-to-ground wireless on-demand data transmission device according to Embodiment 2 of the present invention. This embodiment is applicable to situations where vehicle-mounted equipment feeds back on-demand data to ground equipment, such as... Figure 4 As shown, the specific structure of the device includes:

[0078] The acquisition module 41 is used to collect and store comprehensive status data during locomotive operation. Each comprehensive status data includes a timestamp monitoring vector, a power battery data monitoring vector, and a locomotive control data monitoring vector.

[0079] The parsing module 42 is used to parse the on-demand request message transmitted by the ground equipment to obtain a comprehensive on-demand vector. The comprehensive on-demand vector includes a time period on-demand vector, and a power battery data on-demand vector and a locomotive control data on-demand vector that identify data on-demand requirements using binary elements.

[0080] Transmission module 43 is used to filter data from the comprehensive status data according to the comprehensive on-demand vector to obtain the target feedback dataset, and to return the target feedback dataset to the ground device through vehicle-to-ground wireless transmission.

[0081] The vehicle-to-ground wireless on-demand data transmission device provided in this embodiment collects and stores comprehensive status data during locomotive operation via a data acquisition module. Each comprehensive status data includes a timestamp monitoring vector, a power battery data monitoring vector, and a locomotive control data monitoring vector. Upon receiving an on-demand request message from ground equipment, a parsing module parses the message to obtain a comprehensive on-demand vector. This vector includes a time-segment on-demand vector and power battery data and locomotive control data on-demand vectors identified by binary elements. A transmission module filters data from the comprehensive status data based on the comprehensive on-demand vector to obtain a target feedback dataset, which is then transmitted back to the ground equipment via vehicle-to-ground wireless transmission. This solution provides a vectorized on-demand and filtering mechanism. By transmitting on-demand request messages from ground equipment to vehicle-mounted equipment, it enables on-demand and selective acquisition of data from vehicle-mounted equipment by ground equipment. The rapid response of vehicle-mounted equipment to on-demand request messages significantly reduces wireless channel load and improves the targeting and efficiency of data transmission.

[0082] Furthermore, in the power battery data monitoring vector, the power battery pack total voltage data, power battery pack total current data, single cell voltage data, single cell temperature data, thermal protection system ambient temperature data, thermal protection battery inlet water temperature data, and thermal protection battery outlet water temperature data are arranged in sequence.

[0083] In the locomotive control data monitoring vector, locomotive operating condition data, locomotive lever position data, and locomotive speed data are arranged in sequence.

[0084] Furthermore, the power battery data playback vector and the power battery data monitoring vector are corresponding bit by bit;

[0085] The locomotive control data on-demand vector and the locomotive control data monitoring vector are corresponding bitwise;

[0086] In the power battery data on-demand vector and the locomotive control data on-demand vector, the data to be on-demand is identified by the first binary element, and the data not to be on-demand is identified by the second binary element.

[0087] Furthermore, the transmission module 43 is specifically used for:

[0088] Select the timestamp corresponding to the timestamp monitoring vector, and the comprehensive status data of the time period corresponding to the time period on-demand vector to construct a candidate feedback dataset;

[0089] For each candidate state data in the candidate feedback dataset, a target power battery data vector is obtained by using a power battery data filtering program combined with a power battery data on-demand vector, and a target locomotive control data vector is obtained by using a locomotive control data filtering program combined with a locomotive control data on-demand vector;

[0090] The candidate state data, including the timestamp monitoring vector, the target power battery data vector, and the target locomotive control data vector, are recombined into target state data, and the set of target state data is used as the target feedback dataset.

[0091] Furthermore, the transmission module 43 is specifically used for:

[0092] Using a power battery data filtering program, a bitmasking operation is performed on the power battery data on-demand vector and the power battery data monitoring vector included in the candidate state data to obtain the target power battery data vector.

[0093] Furthermore, the transmission module 43 is specifically used for:

[0094] Using a locomotive control data filtering program, a bitmasking operation is performed on the locomotive control data on-demand vector and the locomotive control data monitoring vector included in the candidate state data to obtain the target locomotive control data vector.

[0095] The vehicle-to-ground wireless on-demand data transmission device provided in this embodiment of the invention can execute the vehicle-to-ground wireless on-demand data transmission method provided in any embodiment of the invention, and has the corresponding functional modules and beneficial effects of executing the method.

[0096] Example 3

[0097] Figure 5 This is a schematic diagram of the structure of an electronic device implementing embodiments of the present invention. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processors, cellular phones, smartphones, wearable devices (such as helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the invention described and / or claimed herein.

[0098] like Figure 5As shown, the electronic device 10 includes at least one processor 11 and a memory, such as a read-only memory (ROM) 12 or a random access memory (RAM) 13, communicatively connected to the at least one processor 11. The memory stores computer programs executable by the at least one processor. The processor 11 performs various appropriate actions and processes based on the computer programs stored in the ROM 12 or loaded from storage unit 18 into the RAM 13. The RAM 13 may also store various programs and data required for the operation of the electronic device 10. The processor 11, ROM 12, and RAM 13 are interconnected via a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0099] Multiple components in electronic device 10 are connected to I / O interface 15, including: input unit 16, such as keyboard, mouse, etc.; output unit 17, such as various types of displays, speakers, etc.; storage unit 18, such as disk, optical disk, etc.; and communication unit 19, such as network card, modem, wireless transceiver, etc. Communication unit 19 allows electronic device 10 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0100] Processor 11 can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. Processor 11 performs the various methods and processes described above, such as vehicle-to-ground wireless on-demand data transmission methods.

[0101] In some embodiments, the vehicle-to-ground wireless on-demand data transmission method may be implemented as a computer program tangibly contained in a computer-readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program may be loaded and / or installed on electronic device 10 via ROM 12 and / or communication unit 19. When the computer program is loaded into RAM 13 and executed by processor 11, one or more steps of the vehicle-to-ground wireless on-demand data transmission method described above may be performed. Alternatively, in other embodiments, processor 11 may be configured to perform the vehicle-to-ground wireless on-demand data transmission method by any other suitable means (e.g., by means of firmware).

[0102] Various embodiments of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), systems-on-a-chip (SoCs), payload-programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.

[0103] Computer programs used to implement the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, such that when executed by the processor, the computer programs cause the functions / operations specified in the flowcharts and / or block diagrams to be performed. The computer programs may be executed entirely on a machine, partially on a machine, or as a standalone software package, partially on a machine and partially on a remote machine, or entirely on a remote machine or server.

[0104] In the context of this invention, a computer-readable storage medium can be a tangible medium that may contain or store a computer program for use by or in conjunction with an instruction execution system, apparatus, or device. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination thereof. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof.

[0105] To provide interaction with a user, the systems and techniques described herein can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user provides input to the electronic device. Other types of devices can also be used to provide interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including sound input, voice input, or tactile input).

[0106] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as data servers), or middleware components (e.g., application servers), or frontend components (e.g., user computers with graphical user interfaces or web browsers through which users can interact with implementations of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication of any form or medium (e.g., communication networks). Examples of communication networks include local area networks (LANs), wide area networks (WANs), blockchain networks, and the Internet.

[0107] A computing system can include clients and servers. Clients and servers are generally located far apart and typically interact through communication networks. The client-server relationship is created by computer programs running on the respective computers and having a client-server relationship with each other. The server can be a cloud server, also known as a cloud computing server or cloud host, which is a hosting product within the cloud computing service system to address the shortcomings of traditional physical hosts and VPS services, such as high management difficulty and weak business scalability.

[0108] It should be understood that the various forms of processes shown above can be used, with steps reordered, added, or deleted. For example, the steps described in this invention can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution of this invention can be achieved, and this is not limited herein.

[0109] The specific embodiments described above do not constitute a limitation on the scope of protection of this invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this invention should be included within the scope of protection of this invention.

Claims

1. A vehicle-to-ground wireless on-demand data transmission method, characterized in that, Applied to in-vehicle equipment, the method includes: During locomotive operation, comprehensive status data is collected and stored. Each comprehensive status data includes a timestamp monitoring vector, a power battery data monitoring vector, and a locomotive control data monitoring vector. Upon receiving a request message for on-demand data transmitted from ground equipment, the request message is parsed to obtain a comprehensive on-demand vector. The comprehensive on-demand vector includes a time period on-demand vector, as well as a power battery data on-demand vector and a locomotive control data on-demand vector that use binary elements to identify the data on-demand data requirements. Based on the comprehensive on-demand vector, a target feedback dataset is obtained by filtering data from the comprehensive status data, and the target feedback dataset is returned to the ground device via vehicle-to-ground wireless transmission.

2. The method according to claim 1, characterized in that, In the power battery data monitoring vector, the power battery pack total voltage data, power battery pack total current data, single cell voltage data, single cell temperature data, thermal protection system ambient temperature data, thermal protection battery inlet water temperature data, and thermal protection battery outlet water temperature data are arranged in sequence. In the locomotive control data monitoring vector, locomotive operating condition data, locomotive lever position data, and locomotive speed data are arranged in sequence.

3. The method according to claim 1, characterized in that, The power battery data playback vector and the power battery data monitoring vector are corresponding bit by bit; The locomotive control data on-demand vector and the locomotive control data monitoring vector are corresponding bitwise; In the power battery data on-demand vector and the locomotive control data on-demand vector, the data to be on-demand is identified by the first binary element, and the data not to be on-demand is identified by the second binary element.

4. The method according to claim 1, characterized in that, Based on the comprehensive on-demand vector, the target feedback dataset is obtained by filtering data from the comprehensive status data, including: Select the timestamp corresponding to the timestamp monitoring vector, and the comprehensive status data of the time period corresponding to the time period on-demand vector to construct a candidate feedback dataset; For each candidate state data in the candidate feedback dataset, a target power battery data vector is obtained by using a power battery data filtering program combined with a power battery data on-demand vector, and a target locomotive control data vector is obtained by using a locomotive control data filtering program combined with a locomotive control data on-demand vector; The candidate state data, including the timestamp monitoring vector, the target power battery data vector, and the target locomotive control data vector, are recombined into target state data, and the set of target state data is used as the target feedback dataset.

5. The method according to claim 4, characterized in that, The target power battery data vector is obtained by filtering from the candidate state data using a power battery data filtering program combined with a power battery data on-demand vector, including: Using a power battery data filtering program, a bitmasking operation is performed on the power battery data on-demand vector and the power battery data monitoring vector included in the candidate state data to obtain the target power battery data vector.

6. The method according to claim 4, characterized in that, The target locomotive control data vector is obtained by filtering from the candidate state data using a locomotive control data filtering program combined with a locomotive control data on-demand vector, including: Using a locomotive control data filtering program, a bitmasking operation is performed on the locomotive control data on-demand vector and the locomotive control data monitoring vector included in the candidate state data to obtain the target locomotive control data vector.

7. A vehicle-to-ground wireless on-demand data transmission device, characterized in that, Configured in an in-vehicle device, the device includes: The acquisition module is used to collect and store comprehensive status data during locomotive operation. Each comprehensive status data includes a timestamp monitoring vector, a power battery data monitoring vector, and a locomotive control data monitoring vector. The parsing module is used to parse the on-demand request message transmitted by the ground equipment to obtain a comprehensive on-demand vector. The comprehensive on-demand vector includes a time period on-demand vector, and a power battery data on-demand vector and a locomotive control data on-demand vector that identify data on-demand needs using binary elements. The transmission module is used to filter data from the comprehensive status data according to the comprehensive on-demand vector to obtain the target feedback dataset, and to return the target feedback dataset to the ground device through vehicle-to-ground wireless transmission.

8. An electronic device, characterized in that, As in-vehicle equipment, it includes: At least one processor; and A memory communicatively connected to the at least one processor; wherein, The memory stores a computer program that can be executed by the at least one processor to enable the at least one processor to perform the method as described in any one of claims 1-6.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions that cause a processor to execute the method as described in any one of claims 1-6.

10. A computer program product, characterized in that, The computer program product includes a computer program that, when executed by a processor, implements the method as described in any one of claims 1-6.

Images