CN117764368A

CN117764368A - Data-driven cooperative processing method and device

Info

Publication number: CN117764368A
Application number: CN202410194776.5A
Authority: CN
Inventors: 王涛; 包中文; 王宇翔; 黄鲲
Original assignee: Aerospace Hongtu Information Technology Co Ltd
Current assignee: Aerospace Hongtu Information Technology Co Ltd
Priority date: 2024-02-22
Filing date: 2024-02-22
Publication date: 2024-03-26
Anticipated expiration: 2044-02-22

Abstract

The invention provides a data-driven collaborative processing method and a device, comprising the following steps: acquiring a subtask set to be cooperatively processed, and determining related information among each subtask in the subtask set; under the condition that the current operation terminal performs operation aiming at the sub-task bound by the current operation terminal, acquiring operation synchronization information corresponding to the sub-task bound by the current operation terminal; the job synchronization information comprises result data and/or job action information; and determining a target job terminal from other job terminals except the current job terminal according to the related information between each subtask and the binding relation between the job terminal and the subtask, and sending the job synchronization information to the target job terminal so that the target job terminal can perform the job on the bound subtask based on the job synchronization information. The invention can effectively solve the problems of longer production period, weaker behavior of result data and the like caused by edge splicing.

Description

Data-driven cooperative processing method and device

Technical Field

the present invention relates to the field of data processing technologies, and in particular, to a data driven collaborative processing method and apparatus.

Background

In the digital line drawing collection production, a mode of synchronous and parallel production of multiple people is generally adopted to shorten the production period. When a plurality of persons synchronously and parallelly produce, the management modes of dividing subtasks and then independently completing the subtasks and submitting the subtasks are adopted, and when the number of operators is increased, the degree of coordination difficulty is increased exponentially, so that high requirements are put on the organization management level. In addition, the problem of inconsistent expression of the same feature occurs in the overlapping areas between the individuals, and is generally solved by performing "bordering" processing with additional man-hours. Common inconsistent problems include 'one-side missing', 'inconsistent geometric coordinates', 'inconsistent coding', 'inconsistent attributes', and the like, which result in larger labor hour for 'edge splicing' processing input, lengthening the production period and reducing the behavior of result data.

Disclosure of Invention

Accordingly, the present invention is directed to a data-driven collaborative processing method and apparatus, which can effectively solve the problems of longer production cycle, weaker behavior of the result data, etc. caused by the "edge-joining" processing.

in a first aspect, an embodiment of the present invention provides a data-driven collaboration processing method, where the method is applied to a collaboration server, and the collaboration server is communicatively connected to a plurality of job terminals, and the method includes:

acquiring a subtask set to be cooperatively processed, and determining related information between each subtask in the subtask set; the operation terminal has binding relation with one or more subtasks, and the related information is used for representing that an overlapped operation area exists between the subtasks;

Under the condition that a current operation terminal performs operation aiming at a sub-task bound by the current operation terminal, acquiring operation synchronization information corresponding to the sub-task bound by the current operation terminal; wherein the job synchronization information includes outcome data and/or job action information;

and determining a target job terminal from other job terminals except the current job terminal according to the related information between each subtask and the binding relation between the job terminal and the subtask, and sending the job synchronization information to the target job terminal so that the target job terminal can perform the job on the bound subtask based on the job synchronization information.

in one embodiment, the step of determining information about each subtask in the set of subtasks includes:

extracting a range line corresponding to each subtask from the subtask set;

constructing topological relation to the range lines to extract range line pairs with intersecting relation;

And determining that a correlation exists between the subtasks to which the range line pair belongs so as to obtain correlation information between each subtask.

in one embodiment, the job terminal is configured with a collaborative helper program, and the collaborative helper program is used for running job software corresponding to the subtasks bound by the job terminal and also used for establishing a local communication channel with the job software;

After the step of determining relevant information between each of the set of subtasks, the method further comprises:

receiving a terminal identifier corresponding to a job terminal and a task identifier corresponding to a subtask, which are sent by the collaborative helper program, and establishing a binding relationship between the job terminal and the subtask based on the terminal identifier and the task identifier;

The step of sending the job synchronization information to the target job terminal so that the target job terminal performs a job for its bound subtasks based on the job synchronization information, includes:

and sending the job synchronization information to the target job terminal so that the collaborative helper program configured by the target job terminal sends the job synchronization information to the job software based on the local communication channel, and the job software is utilized to perform a job for the sub-tasks bound by the job synchronization information based on the job synchronization information.

In one embodiment, the step of determining a target job terminal from the other job terminals except the current job terminal according to the related information between each of the subtasks and the binding relationship between the job terminal and the subtasks includes:

determining a target subtask from the subtask set based on the related information between each subtask;

And determining a target job terminal bound by the target subtask from other job terminals except the current job terminal based on the binding relation between the job terminal and the subtask.

in one embodiment, the step of determining a target subtask from the set of subtasks based on the related information between each of the subtasks includes:

Based on the related information between each subtask, the subtask with the related relation between the subtask bound with the current operation terminal in the subtask set is used as a target subtask;

or based on the related information between each subtask, taking the subtask with a related relationship between the subtask bound with the current operation terminal in the subtask set as an alternative subtask;

If the job synchronization information comprises the result data, judging whether data in an overlapped job area between the subtask bound by the current job terminal and the alternative subtask is changed or not based on the result data, and taking the alternative subtask as a target subtask if the judgment result is yes;

If the job synchronization information comprises the job action information, judging whether the job action information acts on an overlapped job area between the subtask bound by the current job terminal and the alternative subtask, and taking the alternative subtask as a target subtask if the judgment result is yes.

In one embodiment, the method further comprises:

Under the condition that the current operation terminal is changed from an offline state to an online state, the task identification of the target subtask and the terminal identification of the target operation terminal are used as search conditions, and operation synchronization information generated by the target operation terminal for operating the bound target subtask is searched from a designated database, so that the current operation terminal operates on the bound subtask based on the searched operation synchronization information;

the appointed database is used for storing the job synchronization information.

In one embodiment, the method further comprises:

and if the auxiliary arbitration request sent by the target job terminal is received, correcting the result data in the job synchronization information based on the auxiliary arbitration request to form new result data.

In a second aspect, an embodiment of the present invention further provides a data-driven co-processing method, where the method is applied to a job terminal, and the job terminal is communicatively connected to a co-server, and the method includes:

Registering a binding relation between a current operation terminal and one or more subtasks in a subtask set in the cooperative server;

Performing operation on the subtasks bound by the current operation terminal, and generating operation synchronization information corresponding to the subtasks bound by the current operation terminal; wherein the job synchronization information includes outcome data and/or job action information;

and sending the job synchronization information to the cooperative server, so that the cooperative server determines a target job terminal from other job terminals except the current job terminal according to the related information between each subtask in the subtask set and the binding relation between the job terminal and the subtask, and sends the job synchronization information to the target job terminal, and the target job terminal performs the job on the bound subtasks based on the job synchronization information.

Registering, at the collaboration server, a binding relationship between a current job terminal and one or more subtasks in a set of subtasks, comprising: transmitting a terminal identifier corresponding to a current operation terminal and a task identifier corresponding to a subtask to the collaborative server through the collaborative helper program, so that the collaborative server establishes a binding relationship between the operation terminal and the subtask based on the terminal identifier and the task identifier;

The step of carrying out the operation aiming at the subtasks bound by the current operation terminal comprises the following steps: and operating the job software corresponding to the subtask bound by the current job terminal through the collaborative helper program so as to utilize the job software to carry out the job on the subtask bound by the current job terminal.

In a third aspect, an embodiment of the present invention further provides a data-driven co-processing apparatus, where the apparatus is applied to a co-server, and the co-server is communicatively connected to a plurality of job terminals, and the apparatus includes:

The related determining module is used for acquiring a subtask set to be cooperatively processed and determining related information among each subtask in the subtask set; the operation terminal has binding relation with one or more subtasks, and the related information is used for representing that an overlapped operation area exists between the subtasks;

The synchronous information acquisition module is used for acquiring the job synchronous information corresponding to the subtask bound by the current job terminal under the condition that the current job terminal performs the job aiming at the subtask bound by the current job terminal; wherein the job synchronization information includes outcome data and/or job action information;

and the related terminal determining module is used for determining a target job terminal from other job terminals except the current job terminal according to related information among each subtask and the binding relation among the job terminals and sending the job synchronization information to the target job terminal so that the target job terminal can perform the job on the bound subtasks based on the job synchronization information.

In a fourth aspect, an embodiment of the present invention further provides a data-driven co-processing apparatus, where the apparatus is applied to a job terminal, and the job terminal is communicatively connected to a co-server, and the apparatus includes:

the relation registration module is used for registering the binding relation between the current operation terminal and one or more subtasks in the subtask set in the cooperative server;

the synchronous information generation module is used for carrying out operation on the subtasks bound by the current operation terminal and generating operation synchronous information corresponding to the subtasks bound by the current operation terminal; wherein the job synchronization information includes outcome data and/or job action information;

And the synchronous information sending module is used for sending the job synchronous information to the cooperative server so that the cooperative server determines a target job terminal from other job terminals except the current job terminal according to the related information between each subtask in the subtask set and the binding relation between the job terminal and the subtask, and sends the job synchronous information to the target job terminal, and the target job terminal performs the job on the bound subtasks based on the job synchronous information.

The data-driven collaborative processing method and device provided by the embodiment of the invention are applied to a collaborative server, the collaborative server is in communication connection with a plurality of operation terminals, a subtask set to be collaborative processed is firstly obtained, relevant information between each subtask in the subtask set is determined, binding relation exists between the operation terminals and one or more subtasks, and the relevant information is used for representing overlapping operation areas among the subtasks; under the condition that the current operation terminal performs operation aiming at the sub-task bound by the current operation terminal, acquiring operation synchronization information corresponding to the sub-task bound by the current operation terminal, wherein the operation synchronization information comprises result data and/or operation action information; and finally, determining a target job terminal from other job terminals except the current job terminal according to the related information between each subtask and the binding relation between the job terminal and the subtask, and sending the job synchronization information to the target job terminal so that the target job terminal can perform the job on the bound subtask based on the job synchronization information. According to the method, on the basis of interconnection and intercommunication of all operation terminals, the support of the cooperative server and the communication protocol is utilized to realize the capability of each operation terminal for seeing the result data and the operation action information of the related target operation terminal in real time, so that the inconsistent problem of the operation terminal and other people can be solved at any time, the submitted result data can be free from the processing of the edge receiving process, the requirement of directly combining and obtaining one image is met, and therefore the production efficiency can be improved, the production period can be shortened, the production cost can be reduced, and the situation of the result data can be improved.

The data-driven collaborative processing method and device provided by the embodiment of the invention are applied to a work terminal, the work terminal is in communication connection with a collaborative server, and the binding relationship between the current work terminal and one or more subtasks in a subtask set is registered in the collaborative server; then, the operation is carried out aiming at the subtasks bound by the current operation terminal, and the operation synchronization information corresponding to the subtasks bound by the current operation terminal is generated, wherein the operation synchronization information comprises result data and/or operation action information; and finally, sending the job synchronization information to a cooperative server, so that the cooperative server determines a target job terminal from other job terminals except the current job terminal according to the related information between each subtask in the subtask set and the binding relation between the job terminal and the subtask, and sends the job synchronization information to the target job terminal, and the target job terminal performs the job on the bound subtasks based on the job synchronization information. According to the method, on the basis of interconnection and intercommunication of all operation terminals, the support of the cooperative server and the communication protocol is utilized to realize the capability of each operation terminal for seeing the result data and the operation action information of the related target operation terminal in real time, so that the inconsistent problem of the operation terminal and other people can be solved at any time, the submitted result data can be free from the processing of the edge receiving process, the requirement of directly combining and obtaining one image is met, and therefore the production efficiency can be improved, the production period can be shortened, the production cost can be reduced, and the situation of the result data can be improved.

Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.

In order to make the above objects, features and advantages of the present invention more comprehensible, preferred embodiments accompanied with figures are described in detail below.

Drawings

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are needed in the description of the embodiments or the prior art will be briefly described, and it is obvious that the drawings in the description below are some embodiments of the present invention, and other drawings can be obtained according to the drawings without inventive effort for a person skilled in the art.

FIG. 1 is a schematic flow chart of a data-driven collaborative processing method according to an embodiment of the present invention;

FIG. 2 is a schematic diagram of a subtask set according to an embodiment of the present invention;

FIG. 3 is a schematic overall flow chart of a data-driven collaborative processing method according to an embodiment of the present invention;

FIG. 4 is a schematic overall flow chart of another data-driven collaborative processing method according to an embodiment of the present invention;

FIG. 5 is a flow chart of another data-driven collaborative processing method according to an embodiment of the present invention;

FIG. 6 is a schematic diagram of a data-driven co-processing apparatus according to an embodiment of the present invention;

FIG. 7 is a schematic diagram of another data-driven co-processing apparatus according to an embodiment of the present invention;

Fig. 8 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.

Detailed Description

for the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the present invention will be clearly and completely described in conjunction with the embodiments, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.

At present, the related technology needs to carry out the edge splicing processing through extra input man-hour to solve the inconsistent problem, so that the man-hour input in the edge splicing processing is larger, the production period is prolonged, and the situation of the result data is reduced.

For the sake of understanding the present embodiment, first, a data-driven collaboration processing method disclosed in the present embodiment of the present invention is described in detail, where the method is applied to a collaboration server, and the collaboration server is configured with a collaboration service program, and the collaboration server is communicatively connected to a plurality of job terminals, and referring to a flow chart of a data-driven collaboration processing method shown in fig. 1, the method mainly includes steps S102 to S106 below:

step S102, a subtask set to be cooperatively processed is obtained, and relevant information among each subtask in the subtask set is determined.

In one example, in an "aerial survey digital map production scenario" or other similar collaborative production scenario, where multiple persons are required to cooperatively correlate the same image, the image needs to be divided into multiple sub-images at a certain overlap rate. From the task level, different subtasks can be corresponding to different subtasks based on the division of the image; further, one sub-image may correspond to a plurality of sub-tasks, and illustratively, the tasks corresponding to any sub-image may include: subtask 1 road drawing and subtask 2 building drawing. For example, the "aerial survey digital map production scenario" may be: and (5) carrying out map element drawing based on the image. The image can be a remote sensing image, and mainly has plane characteristics; the map elements may include road mapping, building mapping, etc., where the mapping is primarily edge (acquisition), i.e., converting the remote sensing image into a two-dimensional or three-dimensional vector map. Other similar co-production scenarios may be: and (3) marking the working scene of a sample required by artificial intelligent model training, or carrying out uniform color treatment on an oversized image by multiple persons at the same time.

In one example, a binding relationship exists between a job terminal and one or more subtasks, and when the binding relationship exists between the job terminal and a subtask, the job terminal is characterized to perform the job on the bound subtask.

In one example, the related information is used to characterize that an overlapping job area exists between the subtasks, for example, when an overlapping job area exists between any one subtask and its adjacent subtask, the related information can be considered to be related between the two subtasks, and the related information is used to record the task identifications of the two subtasks.

in one embodiment, after the subtask set to be cooperatively processed is acquired, whether the subtasks are related or not may be determined according to the scope lines of the respective subtasks in the subtask set, and related information between the subtasks may be recorded.

Step S104, under the condition that the current operation terminal performs operation aiming at the sub-task bound by the current operation terminal, acquiring the operation synchronization information corresponding to the sub-task bound by the current operation terminal.

The operation terminal is configured with a collaborative helper program, and the collaborative helper program is used for running operation software corresponding to the subtasks bound by the operation terminal, and is also used for establishing a local communication channel with the operation software, namely the operation terminal which is currently operated. The job synchronization information includes result data, i.e., data after performing an action on a subtask, and/or job action information for describing relevant information on performing an action on a subtask, such as position information of an action (which may be expressed by pixel coordinates) or a type of action (such as drawing a straight line, etc.).

In one embodiment, the job terminals are configured with a collaborative helper program, and the collaborative helper program can start the job software corresponding to the subtask, so that a user can utilize the job software to perform the job on the subtask, and meanwhile, the collaborative helper program collects result data and job action information corresponding to the subtask in real time or at a certain time interval or according to a certain action number and sends the result data and the job action information to the collaborative server, so that the collaborative server obtains the job synchronization information corresponding to the subtask bound by the current job terminal.

And step S106, determining a target job terminal from other job terminals except the current job terminal according to the related information between each subtask and the binding relation between the job terminal and the subtask, and sending the job synchronization information to the target job terminal so that the target job terminal can perform the job on the bound subtask based on the job synchronization information.

The target job terminal may be understood as a correlation between a subtask bound by the target job terminal and a subtask bound by the current job terminal, and may also be referred to as that the target job terminal is correlated with the current job terminal. In one embodiment, other subtasks related to the subtasks bound to the current operation terminal can be found directly according to the recorded related information, and then the corresponding operation terminal is determined by combining the binding relation and is used as a target operation terminal; in another embodiment, after searching other subtasks related to the subtasks bound to the current operation terminal according to the related information, the subtasks are further screened by using the operation synchronization information to screen out subtasks only affected by the operation action (such as the operation action acts on the overlapped operation area), and then the corresponding operation terminal is determined by combining the binding relation and is used as the target operation terminal.

The embodiment of the invention aims at mainly drawing multiple people on line simultaneously; alternatively, the partial person draws asynchronously offline. According to the data-driven collaborative processing method provided by the embodiment of the invention, on the basis of interconnection and intercommunication of each operation terminal, the capability of each operation terminal for seeing the result data and operation action information of the related target operation terminal in real time is realized through the support of the collaborative server and the communication protocol, so that the inconsistent problem of the operation terminal and other people can be solved at any time, the submitted result data can be free from the processing of the edge-connecting process, and the requirement of directly combining and obtaining one image is met, thereby improving the production efficiency, shortening the production period, reducing the production cost and improving the situation of the result data.

For easy understanding, the embodiment of the invention provides a specific implementation of a data-driven collaborative processing method by taking a collaborative server as an execution main body.

For the foregoing step S102, first, a subtask set to be cooperatively processed is obtained, and referring to a schematic diagram of one subtask set shown in fig. 2, an overlapping job area exists between two adjacent subtasks in the subtask set. The step of determining relevant information between each subtask in the set of subtasks is then performed as follows steps A1 to A3:

And A1, extracting a range line corresponding to each subtask from the subtask set. With continued reference to fig. 2, the edges of the subtasks may be taken as scope lines corresponding to the subtasks.

And A2, constructing topological relation to the range lines to extract range line pairs with intersection relation. Wherein, the topological relation can represent the intersecting relation between the range lines, thereby extracting the range line pairs with the intersecting relation.

And step A3, determining that a correlation exists between the subtasks to which the range line pair belongs so as to obtain the correlation information between each subtask. Taking the subtask 1-1 and the subtask 1-2 as examples of the range line pair, determining the correlation between the subtask 1-1 and the subtask 1-2 at the moment, and recording the task identifications of the subtask 1-1 and the subtask 1-2 to obtain the correlation information; similarly, the relevant information of all the subtasks in the subtask set can be determined.

In one embodiment, after determining the related information between each subtask in the subtask set, a terminal identifier corresponding to the job terminal and a task identifier corresponding to the subtask sent by the collaborative helper program may be received, and a binding relationship between the job terminal and the subtask may be established based on the terminal identifier and the task identifier. When the method is concretely implemented, firstly, a collaboration service program is started in the collaboration server to load information about whether the subtasks are related or not by utilizing the collaboration service program, when a current operation terminal starts operation, the current operation terminal starts a collaboration assistant program, after logging in, the subtask starts operation, and the collaboration assistant program registers a terminal identification (such as a terminal ID) of the current operation terminal and a task identification (such as a task ID) of the subtask in the collaboration server to establish a binding relation between the current operation terminal and the subtask.

For the foregoing step S104, the embodiment of the present invention further provides an implementation manner of acquiring, in the case where the current job terminal performs a job for its bound subtasks, job synchronization information corresponding to the subtasks bound by the current job terminal.

In one example, the result data and the work operation information may be collected in accordance with the operation. The granularity of the action may be: the command is completed and can be used as an action, for example, the command is to draw a straight line, and when the drawn straight line is monitored, the acquisition of result data and operation action information can be carried out once. Alternatively, the command may be divided into a plurality of segments for synchronization, for example, the command may be a drawing of a plurality of segments, and the result data and the operation information may be acquired once each time one or more segments are drawn.

In one example, when the current operation terminal completes the collection of a feature, the collected result data or operation action information can be sent to a cooperative assistant, the cooperative assistant packs the result data, the operation action information, the terminal ID of the current operation terminal and the task ID of the subtask, and sends the packed operation synchronization information to a cooperative server, and the cooperative server can acquire the operation synchronization information corresponding to the subtask bound by the current operation terminal.

for the foregoing step S106, the embodiment of the present invention provides an implementation manner in which, according to the related information between each subtask and the binding relationship between the job terminal and the subtask, the target job terminal is determined from the other job terminals except the current job terminal, and the job synchronization information is sent to the target job terminal, so that the target job terminal performs the job for the subtask bound thereto based on the job synchronization information, see the following steps B1 to B3:

And step B1, determining a target subtask from the subtask set based on the related information between each subtask. The embodiment of the invention provides the following modes:

Mode one: based on the related information of each subtask, the subtask with the related relation with the subtask bound with the current operation terminal in the subtask set is used as a target subtask.

in one example, the collaborative service records the related information between the subtasks, so that the task ID of the subtask bound by the current operation terminal can be directly used for searching the related task ID, and the subtask corresponding to the task ID is the target subtask.

Mode two, see (1) to (3) below:

(1) Based on the related information of each subtask, the subtask with the related relation with the subtask bound with the current operation terminal in the subtask set is used as an alternative subtask.

In one example, the collaborative service records the related information between the subtasks, so that the task ID of the subtask bound by the current operation terminal can be directly used for searching the related task ID, and the subtask corresponding to the task ID is the candidate subtask.

(2) If the job synchronization information includes result data, based on the result data, judging whether the data in the overlapping job area between the subtask and the alternative subtask bound by the current job terminal changes, and taking the alternative subtask as a target subtask if the judgment result is yes.

In an example, taking the current operation terminal as an example for carrying out the operation on the subtask 2-2, if the operation synchronous data comprises result data, respectively judging whether the data in the overlapped operation area between the subtask 2-2 and the subtask 1-2, the subtask 2-1, the subtask 3-2 and the subtask 2-3 is changed or not, and if the data is not changed, the result data of the subtask 2-2 and the operation action information do not need to be synchronized; assuming that subtask 2-2 only changes with data in the overlapping job area between subtask 1-2, only subtask 1-2 may be targeted to synchronize the outcome data and job action information of subtask 2-2 to the job terminal to which subtask 1-2 is bound.

(3) If the job synchronization information includes job action information, judging whether the job action information acts on an overlapped job area between a subtask and an alternative subtask bound by the current job terminal, and taking the alternative subtask as a target subtask if the judgment result is yes.

In one example, continuing to take the current job terminal as an example for the task 2-2, if the job synchronization data includes job action information, whether the action acts in the overlapping job region between the task 2-2 and the tasks 1-2, 2-1, 3-2, and 2-3. For example, drawing a straight line from left to right, then only the current sub-graph and the left and right sub-graphs associated with the action, or only the right sub-graph, and by way of example, drawing a straight line from left to right, then only subtask 2-2, subtask 1-2, subtask 3-2 associated with the action, subtask 1-2, subtask 3-2 may be determined to be the target subtask.

For another example, when the current sub-graph is drawn, the drawing line extends into the adjacent sub-graph area, and then the action corresponding to the line and the sub-graph where the line is located have correlation. Illustratively, the straight line drawn within subtask 2-2 continues into subtask 3-2 (including overlapping or non-overlapping job areas), at which point subtask 3-2 may also be determined to be the target subtask.

And B2, determining a target job terminal bound with the target subtask from other job terminals except the current job terminal based on the binding relation between the job terminal and the subtask.

In one example, since the terminal ID, the task ID, and the correspondence relationship between them are registered in the collaboration server, the task ID of the target subtask can be directly used as a search condition to search out the terminal ID corresponding to the task ID, and the job terminal corresponding to the terminal ID is the target job terminal to which the target subtask is bound.

and B3, transmitting the job synchronization information to the target job terminal so as to enable the collaborative helper program configured by the target job terminal to transmit the job synchronization information to the job software based on the local communication channel, and performing the job on the bound subtasks by using the job software based on the job synchronization information.

In one example, on the associated online job terminal, after receiving the information sent by the collaboration server, the collaboration helper program extracts the result data or job action information, and sends the result data or job action information to the job software through the local communication channel, so that the relevant information can be seen on the job software in real time.

In one example, the collaboration server synchronizes the storage of the received information in a database at the server side.

for the convenience of understanding the foregoing steps S102 to S106, referring to the overall flow diagram of a data-driven collaborative processing method shown in fig. 3, first, a collaborative server obtains achievement data or operation action information from the operation terminal 1; then, the result data or the job action information is transmitted to the target job terminal 1, the target job terminal 2, and the like; meanwhile, the result data or the operation terminal data are stored in a database of the server.

Further, the embodiment of the invention also provides a communication function when the operation terminal is offline and then online. Specific: under the condition that the current operation terminal is changed from an offline state to an online state, the task identification of the target subtask and the terminal identification of the target operation terminal are used as search conditions, and the operation synchronization information generated by the target operation terminal for operating the bound target subtask is searched from a designated database, so that the current operation terminal operates on the bound subtask based on the searched operation synchronization information; wherein a specified database (i.e., the aforementioned server-side database) is used to store job synchronization information.

When the current operation terminal is newly on line in concrete implementation, the cooperative helper program on the operation terminal registers the binding relation between the current operation terminal ID and the subtask ID at the server side; the cooperative server inquires a related subtask ID set and an associated online operation terminal set according to the subtask ID; the collaboration server extracts the job synchronization information uploaded by the associated online job terminals in the offline time period from the database, and sends the job synchronization information to the current job terminals in batches.

For easy understanding, referring to the overall flow diagram of another data-driven collaborative processing method shown in fig. 4, first, a collaborative server acquires achievement data and job action information from a target job terminal 1 and a target job terminal 2, and stores the achievement data and the job action information in a database at the server side; then, the job terminal 1 logs in and binds the subtask ID, acquires corresponding result data and job action information from the database according to the subtask ID, and feeds back the result data and job action information to the job terminal 1.

Further, an auxiliary arbitration capability may be added between two job terminals. In a specific implementation, if an auxiliary arbitration request sent by a target job terminal is received, the result data in the job synchronization information is corrected based on the auxiliary arbitration request to form new result data. For example, after a certain operation terminal receives the acquisition results of other terminals, a correction request may be provided, and a new acquisition result is formed by an auxiliary arbitration mode such as deleting, modifying, median taking, etc., and is fed back to the data source side.

The embodiment of the invention also provides another data-driven collaborative processing method by taking the operation terminal as an execution main body, wherein the operation terminal is in communication connection with the collaborative server, and is provided with a collaborative helper program, and the collaborative helper program is used for running operation software corresponding to the subtasks bound by the operation terminal and establishing a local communication channel with the operation software. Referring to fig. 5, another flow chart of the data-driven collaborative processing method includes the following steps S502 to S506:

step S502, registering, in the collaboration server, a binding relationship between the current job terminal and one or more subtasks in the subtask set.

In one example, the terminal identifier corresponding to the current job terminal and the task identifier corresponding to the subtask may be sent to the collaboration server by the collaboration helper program, so that the collaboration server establishes a binding relationship between the job terminal and the subtask based on the terminal identifier and the task identifier.

step S504, the operation is carried out for the subtasks bound by the current operation terminal, and the operation synchronization information corresponding to the bound subtasks is generated. Wherein the job synchronization information includes outcome data and/or job action information.

In one example, the job software corresponding to the subtask bound by the current job terminal is run by the collaborative helper program, so that the job software is utilized to perform the job for the subtask bound by the current job terminal.

step S506, the job synchronization information is sent to the cooperative server, so that the cooperative server determines a target job terminal from other job terminals except the current job terminal according to the related information between each subtask in the subtask set and the binding relation between the job terminals and the subtasks, and sends the job synchronization information to the target job terminal, and the target job terminal performs the job on the bound subtasks based on the job synchronization information.

According to the data-driven collaborative processing method provided by the embodiment of the invention, on the basis of interconnection and intercommunication of each operation terminal, the capability of each operation terminal for seeing the result data and operation action information of the related target operation terminal in real time is realized through the support of the collaborative server and the communication protocol, so that the inconsistent problem of the operation terminal and other people can be solved at any time, the submitted result data can be free from the processing of the edge-connecting process, and the requirement of directly combining and obtaining one image is met, thereby improving the production efficiency, shortening the production period, reducing the production cost and improving the situation of the result data.

In summary, the core point of the data-driven collaborative processing method provided by the embodiment of the invention is: (1) Binding the relation between the operation terminal and the subtasks in the network environment, and determining the relevance of the operation terminal according to the topological relation among the subtasks. (2) Under the support of the collaboration server, the operation terminals define a communication protocol according to an abstract data model, so that information intercommunication is realized. (3) On the operation terminal, the cooperative helper program is used for completing communication with a server and management of operation software, so that the transformation requirement on the operation software is reduced. Based on this, the data-driven collaborative processing method provided by the embodiment of the invention has at least the following characteristics:

1. The work process is driven by the target data result of the total task, and the result of one graph can be seen in the middle stage of the task, so that the collaborative management and resource allocation are facilitated.

2. the problem that overlapping area data need to be processed by 'edge splicing' during multi-person operation is avoided, and production efficiency is improved.

3. The method is compatible with the existing subtask division modes, such as division according to ranges, division according to element types and the like.

4. The operation software only needs to communicate with the local collaborative helper program, remote communication with a server is not needed, and the transformation requirement on related operation software is reduced.

On the basis of the foregoing embodiments, the present invention provides a data-driven co-processing apparatus, which is applied to a co-server, and the co-server is communicatively connected to a plurality of job terminals, and the apparatus mainly includes the following parts, referring to a schematic structural diagram of a data-driven co-processing apparatus shown in fig. 6:

the correlation determination module 602 is configured to obtain a subtask set to be cooperatively processed, and determine correlation information between each subtask in the subtask set; the binding relationship exists between the operation terminal and one or more subtasks, and related information is used for representing that an overlapped operation area exists between the subtasks;

The synchronization information obtaining module 604 is configured to obtain, when the current operation terminal performs an operation for the subtask bound by the current operation terminal, operation synchronization information corresponding to the subtask bound by the current operation terminal; the job synchronization information comprises result data and/or job action information;

The related terminal determining module 606 is configured to determine a target job terminal from other job terminals except the current job terminal according to related information between each subtask and a binding relationship between the job terminal and the subtask, and send job synchronization information to the target job terminal, so that the target job terminal performs a job for the subtask bound thereto based on the job synchronization information.

According to the data-driven cooperative processing device provided by the embodiment of the invention, on the basis of interconnection and intercommunication of each operation terminal, the capacity of each operation terminal for seeing the result data and operation action information of the related target operation terminal in real time is realized through the support of the cooperative server and the communication protocol, so that the inconsistent problem of the operation terminal and other people can be solved at any time, the submitted result data can be free from the processing of an edge-connecting process, and the requirement of directly combining and obtaining one image is met, thereby improving the production efficiency, shortening the production period, reducing the production cost and improving the situation of the result data.

In one embodiment, the correlation determination module 602 is further configured to:

extracting a range line corresponding to each subtask from the subtask set;

constructing topological relation of the range lines to extract range line pairs with intersection relation;

And determining that a correlation exists between the subtasks to which the range line pair belongs so as to obtain the correlation information between each subtask.

In one embodiment, the job terminal is configured with a collaborative helper program, and the collaborative helper program is used for running job software corresponding to a subtask bound by the job terminal and also used for establishing a local communication channel with the job software;

The device also comprises a binding module for: receiving a terminal identifier corresponding to a job terminal and a task identifier corresponding to a subtask, which are sent by a collaborative helper program, and establishing a binding relationship between the job terminal and the subtask based on the terminal identifier and the task identifier;

The synchronization information acquisition module 604 is further configured to: and sending the job synchronization information to the target job terminal so as to enable the collaborative helper program configured by the target job terminal to send the job synchronization information to job software based on the local communication channel, and performing the job on the bound subtasks by using the job software based on the job synchronization information.

In one embodiment, the relevant terminal determination module 606 is further configured to:

and determining a target job terminal bound with the target subtask from other job terminals except the current job terminal based on the binding relation between the job terminal and the subtask.

Or based on the related information between each subtask, taking the subtask with the related relation between the subtask bound with the current operation terminal in the subtask set as an alternative subtask;

If the job synchronization information comprises result data, judging whether data in an overlapped job area between a subtask and an alternative subtask bound by the current job terminal is changed based on the result data, and taking the alternative subtask as a target subtask if the judgment result is yes;

If the job synchronization information includes job action information, judging whether the job action information acts on an overlapped job area between a subtask and an alternative subtask bound by the current job terminal, and taking the alternative subtask as a target subtask if the judgment result is yes.

in one embodiment, the method further comprises a retrieval module for:

Under the condition that the current operation terminal is changed from an offline state to an online state, the task identification of the target subtask and the terminal identification of the target operation terminal are used as search conditions, and the operation synchronization information generated by the target operation terminal for operating the bound target subtask is searched from a designated database, so that the current operation terminal operates on the bound subtask based on the searched operation synchronization information;

Wherein the specified database is used to store job synchronization information.

In one embodiment, the method further comprises an auxiliary arbitration module for:

On the basis of the foregoing embodiment, an embodiment of the present invention provides a data-driven co-processing apparatus, which is applied to a job terminal, and the job terminal is communicatively connected to a co-server, and referring to a schematic structural diagram of another data-driven co-processing apparatus shown in fig. 7, the apparatus mainly includes the following parts:

A relationship registration module 702, configured to register, in the collaboration server, a binding relationship between the current job terminal and one or more subtasks in the subtask set;

the synchronization information generation module 704 is configured to perform an operation for a subtask bound by a current operation terminal, and generate operation synchronization information corresponding to the bound subtask; the job synchronization information comprises result data and/or job action information;

The synchronization information sending module 706 is configured to send job synchronization information to the collaboration server, so that the collaboration server determines a target job terminal from other job terminals except the current job terminal according to related information between each subtask in the subtask set and binding relation between the job terminal and the subtask, and sends the job synchronization information to the target job terminal, where the target job terminal performs a job for the subtask bound by the target job terminal based on the job synchronization information.

the relationship registration module 702 is also configured to: transmitting a terminal identifier corresponding to the current operation terminal and a task identifier corresponding to the subtask to a collaboration server through a collaboration helper program, so that the collaboration server establishes a binding relationship between the operation terminal and the subtask based on the terminal identifier and the task identifier;

The synchronization information generation module 704 is further configured to: and operating the job software corresponding to the subtask bound by the current job terminal through the collaborative helper program so as to utilize the job software to carry out the job on the subtask bound by the current job terminal.

The device provided by the embodiment of the present invention has the same implementation principle and technical effects as those of the foregoing method embodiment, and for the sake of brevity, reference may be made to the corresponding content in the foregoing method embodiment where the device embodiment is not mentioned.

the embodiment of the invention provides electronic equipment, which comprises a processor and a storage device; the storage means has stored thereon a computer program which, when executed by the processor, performs the method of any of the embodiments described above.

Fig. 8 is a schematic structural diagram of an electronic device according to an embodiment of the present invention, where the electronic device 100 includes: a processor 80, a memory 81, a bus 82 and a communication interface 83, the processor 80, the communication interface 83 and the memory 81 being connected by the bus 82; the processor 80 is arranged to execute executable modules, such as computer programs, stored in the memory 81.

the memory 81 may include a high-speed random access memory (RAM, random Access Memory), and may further include a non-volatile memory (non-volatile memory), such as at least one magnetic disk memory. The communication connection between the system network element and at least one other network element is implemented via at least one communication interface 83 (which may be wired or wireless), and may use the internet, a wide area network, a local network, a metropolitan area network, etc.

Bus 82 may be an ISA bus, a PCI bus, an EISA bus, or the like. The buses may be classified as address buses, data buses, control buses, etc. For ease of illustration, only one bi-directional arrow is shown in FIG. 8, but not only one bus or type of bus.

The memory 81 is configured to store a program, and the processor 80 executes the program after receiving an execution instruction, and the method executed by the apparatus for flow defining disclosed in any of the foregoing embodiments of the present invention may be applied to the processor 80 or implemented by the processor 80.

The processor 80 may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method may be performed by integrated logic circuitry in hardware or instructions in software in processor 80. The processor 80 may be a general-purpose processor, including a Central Processing Unit (CPU), a Network Processor (NP), and the like; but may also be a digital signal processor (Digital Signal Processing, DSP for short), application specific integrated circuit (Application Specific Integrated Circuit, ASIC for short), off-the-shelf programmable gate array (Field-Programmable Gate Array, FPGA for short), or other programmable logic device, discrete gate or transistor logic device, discrete hardware components. The disclosed methods, steps, and logic blocks in the embodiments of the present invention may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of the method disclosed in connection with the embodiments of the present invention may be embodied directly in the execution of a hardware decoding processor, or in the execution of a combination of hardware and software modules in a decoding processor. The software modules may be located in a random access memory, flash memory, read only memory, programmable read only memory, or electrically erasable programmable memory, registers, etc. as well known in the art. The storage medium is located in a memory 81 and the processor 80 reads the information in the memory 81 and in combination with its hardware performs the steps of the method described above.

The computer program product of the readable storage medium provided by the embodiment of the present invention includes a computer readable storage medium storing a program code, where the program code includes instructions for executing the method described in the foregoing method embodiment, and the specific implementation may refer to the foregoing method embodiment and will not be described herein.

The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.

Finally, it should be noted that: the above examples are only specific embodiments of the present invention, and are not intended to limit the scope of the present invention, but it should be understood by those skilled in the art that the present invention is not limited thereto, and that the present invention is described in detail with reference to the foregoing examples: any person skilled in the art may modify or easily conceive of the technical solution described in the foregoing embodiments, or perform equivalent substitution of some of the technical features, while remaining within the technical scope of the present disclosure; such modifications, changes or substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention, and are intended to be included in the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

Claims

1. a data-driven co-processing method, the method being applied to a co-server communicatively connected to a plurality of job terminals, the method comprising:

2. The data-driven co-processing method of claim 1, wherein the step of determining information about each of the sub-tasks in the set of sub-tasks comprises:

extracting a range line corresponding to each subtask from the subtask set;

3. the data-driven collaborative processing method according to claim 1, wherein the job terminal is configured with a collaborative helper program for running job software corresponding to the subtasks bound by the job terminal and for establishing a local communication channel with the job software;

4. The data-driven cooperative processing method according to claim 1, wherein the step of determining a target job terminal from the other job terminals than the current job terminal based on the related information between each of the subtasks, the binding relationship between the job terminal and the subtasks, comprises:

5. the data-driven co-processing method according to claim 1, wherein the step of determining a target sub-task from the sub-task set based on the related information between each of the sub-tasks, comprises:

6. the data driven collaborative processing method according to claim 4, further comprising:

the appointed database is used for storing the job synchronization information.

7. The data driven collaborative processing method of claim 1, further comprising:

8. a data-driven co-processing method, the method being applied to a job terminal, the job terminal being communicatively connected to a co-server, the method comprising:

9. The data-driven collaborative processing method according to claim 8, wherein the job terminal is configured with a collaborative helper program for running job software corresponding to the subtasks bound by the job terminal and for establishing a local communication channel with the job software;

10. a data-driven co-processing apparatus for use with a co-server in communication with a plurality of work terminals, the apparatus comprising:

11. a data-driven co-processing apparatus for use with a job terminal, the job terminal being communicatively coupled to a co-server, the apparatus comprising: