CN113670295A - Data processing method and device, electronic equipment and readable storage medium - Google Patents
Data processing method and device, electronic equipment and readable storage medium Download PDFInfo
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- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/38—Electronic maps specially adapted for navigation; Updating thereof
- G01C21/3804—Creation or updating of map data
- G01C21/3807—Creation or updating of map data characterised by the type of data
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- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/38—Electronic maps specially adapted for navigation; Updating thereof
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Abstract
The present disclosure provides a data processing method, an apparatus, an electronic device and a readable storage medium, and relates to the technical field of electronic maps, in particular to the technical field of updating of electronic maps. The specific implementation scheme is as follows: determining the operation area range and the operation type of updating the original map data by at least two target operation data; judging whether each target operation data meets a preset parallel processing condition or not based on the operation area range and the operation type for updating the original map data by at least two target operation data; and if the preset parallel processing conditions are met, the original map data and the target operation data are sent to the target terminal equipment corresponding to the target operation data for parallel processing. That is, when the target job data satisfies the predetermined parallel processing condition, each target job data is transmitted to the target terminal device of the corresponding operator to be processed in parallel, so that the plurality of target job data processed in parallel can be processed simultaneously, and the production job cycle is shortened as compared with the serial processing.
Description
Technical Field
The present disclosure relates to the field of electronic maps, and in particular, to an updating method for an electronic map.
Background
The electronic map data is the basis of travel navigation of people, and particularly is a necessary technical means for realizing automatic driving. The electronic map data may include traffic elements such as roads, lanes, stop lines, intersections, traffic lights, traffic signs, etc., and since the traffic elements may be updated, it is necessary for people to acquire the updated information and update the updated information into the electronic map data.
Disclosure of Invention
The disclosure provides a data processing method, a data processing device, an electronic device and a readable storage medium. According to a first aspect of the present disclosure, there is provided a data processing method, including:
determining the operation area range and the operation type of updating the original map data by at least two target operation data;
judging whether each target operation data meets a preset parallel processing condition or not based on the operation area range and the operation type for updating the original map data by at least two target operation data;
and if the preset parallel processing conditions are met, the original map data and the target operation data are sent to the target terminal equipment corresponding to the target operation data for parallel processing.
According to a second aspect of the present disclosure, there is provided a data processing apparatus comprising:
the determining module is used for determining the operation area range and the operation type of updating the original map data by at least two target operation data;
the judging module is used for judging whether each target operation data meets the preset parallel processing condition or not based on the operation area range and the operation type of updating the original map data by at least two target operation data;
and the sending module is used for sending the original map data and each target operation data to the target terminal equipment corresponding to each target operation data for parallel processing if the preset parallel processing condition is met.
According to a third aspect of the present disclosure, there is provided an electronic apparatus comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method.
According to a fourth aspect of the present disclosure, there is provided a non-transitory computer readable storage medium having stored thereon computer instructions for causing a computer to perform the above method.
According to a fifth aspect of the present disclosure, a computer program product is provided, comprising a computer program which, when executed by a processor, implements the above-described method.
The technical scheme provided by the disclosure has the following beneficial effects:
compared with the prior art that the map data is updated in a serial mode (that is, only when one operator finishes the update operation on the original map data, other operators can perform the update operation), the scheme provided by the embodiment of the disclosure compares the prior art with the prior art that the update operation on the map data is realized in a serial mode. The method comprises the steps of determining an operation area range and an operation type for updating original map data by at least two target operation data; judging whether each target operation data meets a preset parallel processing condition or not based on the operation area range and the operation type of updating the original map data by the at least two target operation data; and if the preset parallel processing condition is met, sending the original map data and each target operation data to a target terminal device corresponding to each target operation data for parallel processing. That is, when the target job data satisfies the predetermined parallel processing condition, each target job data is transmitted to the target terminal device of the corresponding operator to be processed in parallel, so that the plurality of target job data processed in parallel can be processed simultaneously, and the production job cycle is shortened as compared with the serial processing.
It should be understood that the statements in this section do not necessarily identify key or critical features of the embodiments of the present disclosure, nor do they limit the scope of the present disclosure. Other features of the present disclosure will become apparent from the following description.
Drawings
The drawings are included to provide a better understanding of the present solution and are not to be construed as limiting the present disclosure. Wherein:
FIG. 1 is a schematic flow diagram of a data processing method provided in accordance with the present disclosure;
FIG. 2 is a diagram illustrating a conventional serial execution of job data;
FIG. 3 is a flowchart illustrating a parallel execution of job data according to the present disclosure;
FIG. 4 is a diagram illustrating an example of parallel processing determination for job data according to the present disclosure;
FIG. 5 is a diagram illustrating another example of parallel processing of job data according to the present disclosure;
FIG. 6 is a schematic block diagram of a data processing apparatus provided in accordance with the present disclosure;
FIG. 7 is a block diagram of an electronic device used to implement an embodiment of the disclosure.
Detailed Description
Exemplary embodiments of the present disclosure are described below with reference to the accompanying drawings, in which various details of the embodiments of the disclosure are included to assist understanding, and which are to be considered as merely exemplary. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the present disclosure. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.
Example one
Fig. 1 illustrates a data processing method provided by an embodiment of the present disclosure, and as illustrated in fig. 1, the data processing method includes:
step S101, determining the operation area range and the operation type of updating the original map data by at least two target operation data;
the method disclosed by the invention can be applied to the field of electronic map construction or updating, wherein the construction can be regarded as a special updating. Specifically, when the electronic map is updated or constructed, the corresponding map information acquisition vehicle can acquire corresponding map related element information, and specifically, the acquired map related element information can be determined through the acquired video and then image analysis; or manually determined map-related element information.
The target operation data may be task materials which are distributed to corresponding operators and need the corresponding operators to update the original map data based on the distributed target operation data. The target operation data comprises information of elements to be updated of the corresponding map, and the operator needs to perform corresponding operation to update the information of the elements to be updated into the original map data. The information of the elements to be updated in the map included in the target operation data may be rough information (for example, a camera is added to a certain approximate area), and an operator is required to further refine the information of the elements to be updated and update the information into the original map data.
Specifically, each target job data may correspond to one or more job zones, each of which may correspond to one or more job types. The working area range may be an area (specifically, may include corresponding length and width information) where a corresponding road is located, a cell, and the like, and specifically, the working area range may be reflected by a certain coordinate area. The operation type may be determined according to the operation element, for example, the traffic element may include, but is not limited to, the following elements, such as a road network element, a toll station element, a high-speed service area element, a scenic spot element, a gas station element, an electronic eye element, and a traffic restriction element, and the corresponding operation type may be an operation performed on the related traffic element, such as an electronic eye for canceling a certain area position, an electronic eye for adding a certain area position, and the like.
Step S102, based on the at least two target operation data, the operation area range and the operation type for updating the original map data are used for judging whether each target operation data meets the preset parallel processing condition;
in the prior art, the processing of the target operation data is performed in series, that is, only when one operator completes the updating operation of the original map data, other operators can perform the updating operation. For example, the original map data can be accessed by only one operator at the same time, and when the operator A updates the map based on the target operation data, the operator B can only wait until the operator A finishes processing and then can perform the updating operation based on the target operation data.
The technical scheme of the disclosure judges whether each target operation material accords with the preset parallel processing condition or not based on the operation target area and the operation type of each target operation material, if the preset parallel processing condition is met, each target operation material can be processed in parallel, and if the preset parallel processing condition is not met, each target operation material can be processed in a serial mode.
Step S103, if a predetermined parallel processing condition is satisfied, sending the original map data and each of the target operation data to a target terminal device corresponding to each of the target operation data for parallel processing.
The method of the present disclosure may be applied to a server, and specifically, if each target job material satisfies a predetermined parallel processing condition, the server may send the original map data, each target job material to a target terminal device corresponding to each target job material for parallel processing. The target terminal device may be a terminal device such as a mobile phone, a PAD, a PC, and the like, and specifically, may be sent to a target client on the terminal device. After the target terminal device receives the corresponding data, the operator can perform corresponding updating operation.
Illustratively, as shown in fig. 2, as a prior art, there are three corresponding target operation materials A, B, C, if the completion time of each operation material is 3 hours, respectively, if a serial manner is adopted, 9 hours are required for completing the update of the original map data based on three target operation materials A, B, C; and the parallel mode is adopted, as shown in fig. 3, only 3 hours are needed, so that the working efficiency is improved, and the production working period is shortened.
Compared with the prior art that the map data is updated in a serial mode (that is, only when one operator finishes the update operation on the original map data, other operators can perform the update operation), the scheme provided by the embodiment of the disclosure compares the prior art with the prior art that the update operation on the map data is realized in a serial mode. The method comprises the steps of determining an operation area range and an operation type for updating original map data by at least two target operation data; judging whether each target operation data meets a preset parallel processing condition or not based on the operation area range and the operation type of updating the original map data by the at least two target operation data; and if the preset parallel processing condition is met, sending the original map data and each target operation data to a target terminal device corresponding to each target operation data for parallel processing. That is, when the target job data satisfies the predetermined parallel processing condition, each target job data is transmitted to the target terminal device of the corresponding operator to be processed in parallel, so that the plurality of target job data processed in parallel can be processed simultaneously, and the production job cycle is shortened as compared with the serial processing.
An embodiment of the present application provides a possible implementation manner, where the determining whether each of the target job data satisfies a predetermined parallel processing condition includes:
judging whether the operation area ranges of the target operation data are overlapped, and if the operation area ranges are not overlapped, determining that the target operation data meet the preset parallel processing condition;
illustratively, as shown in fig. 4, for the target job data 1, 2, 3, if there is no overlap in the job areas of the target job data 1, 2, 3, it is determined that the target job data 1, 2, 3 satisfies the parallel processing condition.
If the operation area ranges of the target operation data are overlapped, judging whether the operation types of the overlapped target operation data are the same; and if the job types are different, determining that the target job data with the overlap satisfies a predetermined parallel processing condition.
Illustratively, as shown in fig. 5, for the target job data 1, 2, 3, the target job data 1 is not overlapped on the respective job data 2 or 3, and the target job data 2 is overlapped on the target job data 3, but if the job types of the target job data 2, 3 are different, it is determined that the target job data 1, 2, 3 satisfy the parallel processing condition. If the job types of the target job data 2, 3 are the same, the target job 2 and the target job 3 do not satisfy the parallel processing condition, the target job 1 and the target job 2 satisfy the parallel processing condition, and the target job 1 and the target job 3 satisfy the parallel processing condition, further, the time taken to finish the job data 2 and the job data 3, respectively, may be judged, and if the time to finish the job data 2 is longer than the time to finish the job data 3, it may be determined that the target job 1 and the target job 2 are processed in parallel, and then the job data 3 is processed.
For the disclosed embodiment, if three or more target job data are included, wherein part of the target jobs satisfy the parallel processing condition and part do not satisfy the parallel processing condition, those target job data may be determined to be processed in parallel and those target job data may be processed in series based on the job time minimization method.
The embodiment of the application solves the problem of judging whether the target operation data meets the parallel processing condition.
The embodiment of the present application provides a possible implementation manner, where sending the original map data and each of the target operation data to a target terminal device corresponding to each of the target operation data for parallel processing, and then performing:
receiving map updating data sent by each target terminal device, wherein the map updating data is obtained by performing updating operation on the original map data based on target operation data;
updating the original map data based on each of the received map update data. Specifically, after the server sends the corresponding target operation data and the original map data to the corresponding target terminal device, the corresponding operator performs an update operation on the original map data based on the target operation data, specifically, the target terminal device can visually display the map in a two-dimensional or three-dimensional manner, then the corresponding operator visually displays the map in the two-dimensional or three-dimensional manner based on the two-dimensional or three-dimensional manner, and performs an update operation on the visually displayed two-dimensional or three-dimensional map according to the content to be updated in the target operation data, for example, an electronic eye and the like are added at a certain area position, for example, a t-shaped intersection is added at a certain area position, and the like; for the updating operation of the operator, the terminal device can analyze the corresponding map updating data, such as the accurate position and type of the added electronic eye in the map, the accurate position of the added T-junction in the map, and the like; after the operator completes the task of updating the operation data, the updated map updating data can be sent to the server. The map update data may be sent to the server at predetermined threshold time intervals, or may be sent to the server after the operator completes all the operation tasks.
Wherein each target terminal device may synchronously or asynchronously send its respective map update data to the server. The server may update the original map data based on the received map update data, or may receive the map update data sent by all the target terminal devices, and update the original map data after summarizing the received map update data.
For the embodiment of the application, the original map data is updated in a parallel operation mode, the operation efficiency is improved, and the production operation period is shortened.
The embodiment of the present application provides a possible implementation manner, wherein the determining process of the target operation data includes:
determining operation data information to be updated and operator information, wherein the operator information comprises operator ID information and operation state information of each operator;
and distributing the operation data to be updated based on the operator information to obtain each target operation data.
The information of the operation data to be updated can be determined by image analysis and target positioning technology based on the collected video, and the operation data to be updated needs to be distributed to corresponding operators and is completed by the operators with labor division; specifically, when the job data is distributed, the job data can be distributed according to the job progress status information of each operator, for example, the job progress can be divided into more parts when the job progress is fast, and the job progress can be divided into less parts when the job progress is slow.
Specifically, the operator information may further include operation data information of an operator, and when the operation data to be updated is distributed, the operation data may be distributed according to an operation area of the operation data currently existing by the operator, for example, the operation area of the same operator may be distributed to the same operator, so that the probability that the operation areas of different operators are the same is reduced, and the probability of parallel processing can be improved.
With the embodiment of the application, the problem of determining the target operation data is solved.
The embodiment of the present application provides a possible implementation manner, wherein the determining process of the job data information to be updated includes:
and carrying out image detection and identification based on the acquired video and determining the information of the operation data to be updated by a positioning technology, wherein the operation data comprises operation element information, preliminary area position information corresponding to the operation element and video position information corresponding to the operation element.
Specifically, the information of the operation data to be updated is determined by carrying out target detection and identification on the collected video (such as through a neural network model based on RCNN, Fast-RCNN and the like) and matching with a corresponding positioning technology; the operation data comprises operation element information, preliminary area position information corresponding to the operation elements and video position information corresponding to the operation elements.
Wherein the work element information includes at least one of: road network elements, toll station elements, high-speed service area elements, scenic spot elements, gas station elements, electronic eye elements and traffic restriction elements.
The preliminary region position information corresponding to the operation element can be rough position information, for example, the position information can be the position of equipment for image acquisition when the video is shot, and subsequently, the operator needs to further refine the position information of the operation element according to the video position information corresponding to the operation element, so as to mark the position information in a visually displayed map; the video position information corresponding to the job element can be the position information of the job element appearing in the video, such as shooting the job element at the xx minutes xx seconds position of the video.
The embodiment of the application solves the problem of determining the operation data information to be updated.
The embodiment of the present application provides a possible implementation manner, wherein, image detection and recognition are performed based on the collected video, and the information of the job data to be updated is determined by a positioning technology, including:
carrying out image detection and identification based on the collected video, and determining candidate operation data information through a positioning technology;
judging whether the original map data needs to be updated or not based on the original map data and the determined candidate operation data information;
and if the original map data needs to be updated, determining the candidate operation material information as the operation material information to be updated.
Specifically, whether the original map data needs to be updated is judged based on the original map data and the determined candidate operation data information, and if the original map data does not contain corresponding candidate operation data, the candidate operation data information is determined as operation data information to be updated; and if the original map data contains corresponding candidate operation data, not determining the candidate operation data information as the operation data information to be updated.
For the embodiment of the application, the operation data to be updated is screened, so that meaningless operation is avoided.
Example two
An embodiment of the present disclosure provides a data processing apparatus, as shown in fig. 6, including:
a determining module 601, configured to determine an operation area range and an operation type for updating original map data by at least two pieces of target operation data;
a determining module 602, configured to determine whether each target job data satisfies a predetermined parallel processing condition based on a job area range and a job type of updating the original map data by the at least two target job data;
a sending module 603, configured to send the original map data and each of the target job data to a target terminal device corresponding to each of the target job data for parallel processing if a predetermined parallel processing condition is met.
The embodiment of the present application provides a possible implementation manner, wherein the determining module includes:
a first judging unit for judging whether the operation area ranges of the target operation data are overlapped, and if the operation area ranges are not overlapped, determining that the target operation data meet the preset parallel processing condition;
a second judging unit, configured to judge whether the operation types of the overlapped target operation data are the same if the operation area ranges of the target operation data overlap; and if the job types are different, determining that the target job data with the overlap satisfies a predetermined parallel processing condition.
The embodiment of the present application provides a possible implementation manner, wherein the apparatus further includes:
the receiving module is used for receiving map updating data sent by each target terminal device, and the map updating data is obtained by performing updating operation on the original map data based on target operation data;
and the updating module is used for updating the original map data based on the received map updating data.
The embodiment of the present application provides a possible implementation manner, wherein the determining module includes:
the system comprises a determining unit, a judging unit and a judging unit, wherein the determining unit is used for determining operation data information to be updated and operator information, and the operator information comprises operator ID information and operation state information of each operator;
and the distribution unit is used for distributing the operation data to be updated based on the operator information to obtain each target operation data.
The embodiment of the application provides a possible implementation manner, wherein the determining unit is specifically configured to perform image detection and identification based on a collected video and determine to-be-updated operation data information by using a positioning technology, and the operation data includes operation element information, preliminary area position information corresponding to the operation element, and video position information corresponding to the operation element.
The embodiment of the present application provides a possible implementation manner, wherein the job element information includes at least one of the following items:
road network elements, toll station elements, high-speed service area elements, scenic spot elements, gas station elements, electronic eye elements and traffic restriction elements.
The embodiment of the application provides a possible implementation manner, wherein the determining unit is specifically configured to perform image detection and identification based on a collected video, and determine candidate operation data information through a positioning technology; and the system is used for judging whether the original map data needs to be updated or not based on the original map data and the determined candidate operation data information; and if the original map data needs to be updated, determining the candidate operation material information as the operation material information to be updated.
For the embodiment of the present application, the beneficial effects achieved by the embodiment of the present application are the same as those of the embodiment of the method described above, and are not described herein again.
In the technical scheme of the disclosure, the collection, storage, use, processing, transmission, provision, disclosure and other processing of the personal information of the related user are all in accordance with the regulations of related laws and regulations and do not violate the good customs of the public order.
The present disclosure also provides an electronic device, a readable storage medium, and a computer program product according to embodiments of the present disclosure.
The electronic device includes: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method as provided by the embodiments of the present disclosure.
Compared with the prior art, the electronic equipment realizes the update of the map data in a serial mode (namely, only when one operator finishes the update operation of the original map data, other operators can perform the update operation). The method comprises the steps of determining an operation area range and an operation type for updating original map data by at least two target operation data; judging whether each target operation data meets a preset parallel processing condition or not based on the operation area range and the operation type of updating the original map data by the at least two target operation data; and if the preset parallel processing condition is met, sending the original map data and each target operation data to a target terminal device corresponding to each target operation data for parallel processing. That is, when the target job data satisfies the predetermined parallel processing condition, each target job data is transmitted to the target terminal device of the corresponding operator to be processed in parallel, so that the plurality of target job data processed in parallel can be processed simultaneously, and the production job cycle is shortened as compared with the serial processing.
The readable storage medium is a non-transitory computer readable storage medium storing computer instructions for causing a computer to perform a method as provided by an embodiment of the present disclosure.
Compared with the prior art, the readable storage medium realizes the update of the map data in a serial mode (namely, only when one operator finishes the update operation on the original map data, other operators can carry out the update operation). The method comprises the steps of determining an operation area range and an operation type for updating original map data by at least two target operation data; judging whether each target operation data meets a preset parallel processing condition or not based on the operation area range and the operation type of updating the original map data by the at least two target operation data; and if the preset parallel processing condition is met, sending the original map data and each target operation data to a target terminal device corresponding to each target operation data for parallel processing. That is, when the target job data satisfies the predetermined parallel processing condition, each target job data is transmitted to the target terminal device of the corresponding operator to be processed in parallel, so that the plurality of target job data processed in parallel can be processed simultaneously, and the production job cycle is shortened as compared with the serial processing. The computer program product comprising a computer program which, when executed by a processor, implements a method as shown in the first aspect of the disclosure.
Compared with the prior art, the computer program product realizes the update of the map data in a serial mode (namely, only when one operator finishes the update operation of the original map data, other operators can carry out the update operation). The method comprises the steps of determining an operation area range and an operation type for updating original map data by at least two target operation data; judging whether each target operation data meets a preset parallel processing condition or not based on the operation area range and the operation type of updating the original map data by the at least two target operation data; and if the preset parallel processing condition is met, sending the original map data and each target operation data to a target terminal device corresponding to each target operation data for parallel processing. That is, when the target job data satisfies the predetermined parallel processing condition, each target job data is transmitted to the target terminal device of the corresponding operator to be processed in parallel, so that the plurality of target job data processed in parallel can be processed simultaneously, and the production job cycle is shortened as compared with the serial processing.
FIG. 7 illustrates a schematic block diagram of an example electronic device 700 that can be used to implement embodiments of the present disclosure. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device may also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be examples only, and are not meant to limit implementations of the disclosure described and/or claimed herein.
As shown in fig. 7, the device 700 comprises a computing unit 701, which may perform various suitable actions and processes according to a computer program stored in a Read Only Memory (ROM)702 or a computer program loaded from a storage unit 708 into a Random Access Memory (RAM) 703. In the RAM 703, various programs and elements necessary for the operation of the device 700 can also be stored. The computing unit 701, the ROM 702, and the RAM 703 are connected to each other by a bus 704. An input/output (I/O) interface 707 is also connected to bus 704.
Various components in the device 700 are connected to the I/O interface 705, including: an input unit 706 such as a keyboard, a mouse, or the like; an output unit 707 such as various types of displays, speakers, and the like; a storage unit 708 such as a magnetic disk, optical disk, or the like; and a communication unit 709 such as a network card, modem, wireless communication transceiver, etc. The communication unit 709 allows the device 700 to exchange information/elements with other devices via a computer network such as the internet and/or various telecommunication networks.
Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuitry, Field Programmable Gate Arrays (FPGAs), Application Specific Integrated Circuits (ASICs), Application Specific Standard Products (ASSPs), system on a chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs that are executable and/or interpretable on a programmable system including at least one programmable processor, which may be special or general purpose, receiving elements and instructions from, and transmitting elements and instructions to, a storage system, at least one input device, and at least one output device.
Program code for implementing the methods of the present disclosure may be written in any combination of one or more programming languages. These program codes may be provided to a processor or controller of a general purpose computer, special purpose computer, or other programmable element processing apparatus, such that the program codes, when executed by the processor or controller, cause the functions/operations specified in the flowchart and/or block diagram to be performed. The program code may execute entirely on the machine, partly on the machine, as a stand-alone software package partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of this disclosure, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
To provide for interaction with a user, the systems and techniques described here can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) by which a user can provide input to the computer. Other kinds of devices may also be used to provide for interaction with a 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 may be received in any form, including acoustic, speech, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a back-end component (e.g., as an element server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back-end, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital elemental communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), Wide Area Networks (WANs), and the Internet.
The computer system may include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server may be a cloud server, a server of a distributed system, or a server with a combined blockchain.
It should be understood that various forms of the flows shown above may be used, with steps reordered, added, or deleted. For example, the steps described in the present disclosure may be executed in parallel, sequentially, or in different orders, as long as the desired results of the technical solutions disclosed in the present disclosure can be achieved, and the present disclosure is not limited herein.
The above detailed description should not be construed as limiting the scope of the disclosure. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions may be made in accordance with design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present disclosure should be included in the scope of protection of the present disclosure.
Claims (17)
1. A method of data processing, comprising:
determining the operation area range and the operation type of updating the original map data by at least two target operation data;
judging whether each target operation data meets a preset parallel processing condition or not based on the operation area range and the operation type of updating the original map data by the at least two target operation data;
and if the preset parallel processing condition is met, sending the original map data and each target operation data to a target terminal device corresponding to each target operation data for parallel processing.
2. The method of claim 1, wherein said determining whether each of said target job data satisfies a predetermined parallel processing condition comprises:
judging whether the operation area ranges of the target operation data are overlapped, and if the operation area ranges are not overlapped, determining that the target operation data meet the preset parallel processing condition;
if the operation area ranges of the target operation data are overlapped, judging whether the operation types of the overlapped target operation data are the same; and if the operation types are different, determining that the overlapped target operation data meets the preset parallel processing condition.
3. The method of claim 1, wherein sending the original map data and each of the target operation data to a target terminal device corresponding to each of the target operation data for parallel processing comprises:
receiving map updating data sent by each target terminal device, wherein the map updating data is obtained by performing updating operation on the original map data based on target operation data;
updating the original map data based on each of the received map update data.
4. The method of claim 1 wherein the determining of the target operational profile comprises:
determining operation data information to be updated and operator information, wherein the operator information comprises operation state information of an operator;
and distributing the operation data to be updated based on the operator information to obtain each target operation data.
5. The method of claim 4, wherein the determining the to-be-updated job profile information comprises:
and carrying out image detection and identification based on the acquired video and determining the information of the operation data to be updated by a positioning technology, wherein the operation data comprises operation element information, preliminary area position information corresponding to the operation element and video position information corresponding to the operation element.
6. The method of claim 5, wherein the work element information comprises at least one of:
road network elements, toll station elements, high-speed service area elements, scenic spot elements, gas station elements, electronic eye elements and traffic restriction elements.
7. The method of claim 5, wherein the image detection and recognition based on the captured video and the determination of the job information to be updated by the positioning technique comprise:
carrying out image detection and identification based on the collected video, and determining candidate operation data information through a positioning technology;
judging whether the original map data needs to be updated or not based on the original map data and the determined candidate operation data information;
and if the original map data needs to be updated, determining the candidate operation material information as the operation material information to be updated.
8. A data processing apparatus comprising:
the determining module is used for determining the operation area range and the operation type of updating the original map data by at least two target operation data;
the judging module is used for judging whether each target operation data meets a preset parallel processing condition or not based on the operation area range and the operation type of updating the original map data by the at least two target operation data;
and the sending module is used for sending the original map data and each target operation data to a target terminal device corresponding to each target operation data for parallel processing if a preset parallel processing condition is met.
9. The apparatus of claim 8, wherein the means for determining comprises:
a first judging unit for judging whether the operation area ranges of the target operation data are overlapped, and if the operation area ranges are not overlapped, determining that the target operation data meet the preset parallel processing condition;
a second judging unit, configured to judge whether the operation types of the overlapped target operation data are the same if the operation area ranges of the target operation data overlap; and if the operation types are different, determining that the overlapped target operation data meets the preset parallel processing condition.
10. The method of claim 8, the apparatus further comprising:
the receiving module is used for receiving map updating data sent by each target terminal device, and the map updating data is obtained by performing updating operation on the original map data based on target operation data;
and the updating module is used for updating the original map data based on the received map updating data.
11. The apparatus of claim 8, wherein the means for determining comprises:
the system comprises a determining unit, a judging unit and a judging unit, wherein the determining unit is used for determining operation data information to be updated and operator information, and the operator information comprises operation state information of an operator;
and the distribution unit is used for distributing the operation data to be updated based on the operator information to obtain each target operation data.
12. The device according to claim 11, wherein the determining unit is specifically configured to perform image detection and recognition based on the captured video and determine job information to be updated by using a positioning technique, where the job information includes job element information, preliminary area location information corresponding to the job element, and video location information corresponding to the job element.
13. The apparatus of claim 12, wherein the work element information comprises at least one of:
road network elements, toll station elements, high-speed service area elements, scenic spot elements, gas station elements, electronic eye elements and traffic restriction elements.
14. The apparatus according to claim 12, wherein the determining unit is specifically configured to perform image detection recognition based on the captured video, and determine candidate job material information by a positioning technique; and the system is used for judging whether the original map data needs to be updated or not based on the original map data and the determined candidate operation data information; and if the original map data needs to be updated, determining the candidate operation material information as the operation material information to be updated.
15. An electronic device, comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-7.
16. A non-transitory computer readable storage medium having stored thereon computer instructions for causing the computer to perform the method of any one of claims 1-7.
17. A computer program product comprising a computer program which, when executed by a processor, implements the method according to any one of claims 1-7.
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