CN107730103B - Spatial data processing flow control method - Google Patents
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Abstract
The invention provides a spatial data processing flow control method, which comprises the following steps: the method comprises the following steps of designing a process, processing an order according to spatial data issued by a user, and integrally planning processing work to be completed by the order by using professional knowledge and actual conditions to divide the processing work into a plurality of working procedures; the task corresponding to the current working procedure is finished automatically by a corresponding working procedure handler or a robot program; uploading a processing result which accords with the definition of the current procedure, and uploading the processing result of the task corresponding to the current procedure, which accords with the data type and the data configuration defined when the current procedure is designed, when the current procedure is completed; and checking the completion progress of the process in real time. The invention has the following advantages in three aspects in the spatial data processing process: firstly, large-scale deployment and production can be realized, the labor cost is saved, and the efficiency is improved; secondly, the whole process supervision can be carried out, and the data quality is ensured; and thirdly, production process data can be accumulated, and the data can be analyzed to improve the process and improve the production automation and the intelligent degree.
Description
Technical Field
The invention relates to the technical field of data processing; the method aims to solve the problems of monitoring and management of the spatial data processing flow, and particularly relates to a spatial data processing flow control method.
Background
The spatial data processing process has the disadvantages of wide field, multiple links, multiple data types, multiple participating units and complex personnel, and the traditional manual operation mode cannot meet the actual requirements due to low data processing efficiency and limited processing skills. On the other hand, with the development of computer software technology, spatial data processing tools are more and more, and most of spatial data needs to be processed in a streaming manner. Thus, many automated spatial data processing flows have emerged that are assembled from data processing tools. The Model Builder of ArcGIS combines processing tools with multiple functions in a mode of creating a workflow, and realizes batch and automatic processing of spatial data. However, the spatial data processing implemented in a workflow manner, like a black box, can only perform quality check on the finally obtained processing result. If the result has problems, the whole workflow can only be stopped, the problems are gradually checked and found, and then the workflow is revised or designed according to the problems. At this point, the entire spatial data processing task can only be restarted all the way to zero. Moreover, data processing according to the spatial data processing flow implemented in the workflow creation manner is often completed independently only by one unit. Therefore, the spatial data processing flow realized in the manner of creating the workflow can only solve relatively simple spatial data automation processing.
However, in practice the spatial data processing task may be very large and the involved fields and processing requirements may be very complex. Therefore, it is almost impossible to design a completely fixed workflow for it in advance and automatically process the entire spatial data processing task exactly according to the designed workflow. Even if the realization is possible, the redesign and processing cost caused by the unqualified processing result is difficult to bear. For example, in national land survey, the whole process involves a plurality of production units and administrative departments, and the whole task can be divided into a plurality of parts, which are sequentially issued from top to bottom to each province, city, county and unit for self-completion, and finally the completed results are collected. However, each unit has its own production, operation software and specification, so that the whole space data processing has random operation flow, random data type and undisclosed quality supervision, and the units are required to be handed over in the field. On the other hand, once a certain unit has difficulty in completing tasks and cannot complete the processing tasks to be undertaken according to the regulations, the unit can only seek help from others, so that the processing period is prolonged, and the progress of the whole space data processing is influenced. Therefore, for such complex spatial data processing tasks, it is difficult to perform uniform and strict quality control and real-time monitoring of the progress of the whole processing flow.
Disclosure of Invention
The invention aims to provide a flow control method for spatial data processing, so as to solve the problems of random data types, fixed processing tools, rigid processing process, low reusability, passive management and the like in spatial data processing flow control. In order to achieve the above object, the technical solution provided by the present invention is a spatial data processing flow control method, including: the method comprises the following steps of designing a process, processing an order according to spatial data issued by a user, and integrally planning processing work to be completed by the order by using professional knowledge and actual conditions to divide the processing work into a plurality of working procedures; the task corresponding to the current working procedure is finished automatically by a corresponding working procedure handler or a robot program;
uploading a processing result which accords with the definition of the current procedure, and uploading the processing result of the task corresponding to the current procedure, which accords with the data type and the data configuration defined when the current procedure is designed, when the current procedure is completed;
and checking the completion progress of the process in real time.
Preferably, the process design is a new process designed for the spatial data processing process, or an existing process is selected in a process pool; defining a name, description, originator and version number for the new process when designing the process; storing the designed process in a process pool for repeated use; the process of the process design can select the existing process or redefine the process in the process pool; when defining the process, a name, a abbreviation, a description, an output data type, an output data configuration, a quality inspection data type, a quality inspection data configuration and the like need to be set for the process. When the process is designed, defined procedures are directly matched, and the procedures are connected in sequence by using a one-way arrow; and when the working procedures are matched, the information of whether the selection result is split or not, whether the selection result is combined or not, the construction period time, the working procedure difficulty, whether the selection result is quality checked or not and the like can be automatically prompted.
Preferably, the defining the process requires setting a data type and a data configuration for the process, and includes:
setting the output data type and the quality inspection data type of the working procedure, selecting the existing data type and the corresponding data configuration, or creating the data type and the data configuration according to requirements; when the data type is newly created, any number of data configurations corresponding to the data type must be newly created at the same time, that is, the data type and the data configuration are in a one-to-one or one-to-many relationship; the data type comprises name, category, suffix name, abbreviation, description, reference address, publisher and version number information, and the data configuration comprises name, key value, attribute field and dimension information.
Preferably, the completing the task corresponding to the current process further includes: any operator in the team can log in an account at any place by himself to pick up the task corresponding to the current working procedure and select a recommended or good processing tool to complete the task; when the processing task corresponding to the current process is finished, automatically switching to the next process, and allowing any operator in the team to freely log in and receive in different places to complete the processing task corresponding to the next process; the completion of the current task can be picked up and completed by an operator, or a creator or a manager of the team can issue the processing task corresponding to the current process to a certain operator of the team for completion; further, the processing task corresponding to the current process may also be automatically picked up and completed by a robot program, or the processing task corresponding to the current process may be automatically completed by a creator or an administrator of the team by issuing the processing task to the robot program.
Preferably, the completing the task corresponding to the current process further includes: selecting whether the current process is split or combined; whether the current process is split or not is selected, if the current process is split, the tasks corresponding to the current process can be split into a fixed number of copies or any split number of copies according to the definition during the design of the current process, and the split tasks are in a parallel relation; if the next procedure of the current procedure is not selected to be combined, the next procedure of the current procedure can generate the parallel tasks of the corresponding number of copies, and the parallel tasks can be processed and finished by the team operator at the same time; if the next procedure of the current procedure is selected to be combined, the next procedure of the current procedure only comprises one task, namely the splitting of the current procedure is meaningless; and if the current process does not select splitting, the task of the next process of the current process and the next process of the current process only comprises one part. The above conditions are all under the premise that the current process only contains one task before the selection of whether to split. If the next procedure of the current procedure is selected to be combined, no matter how the current procedure and the procedures before the current procedure are split and combined, the next procedure of the current procedure only comprises one task;
preferably, after uploading the processing result conforming to the current process definition, the method further includes:
performing quality inspection operation on the uploaded processing result of the task corresponding to the current process according to whether the current process is defined during process design or not; if the current process is defined as needing quality inspection, automatically performing quality inspection on a processing result submitted by a task corresponding to the current process by a quality inspection person or a robot program, entering the next process of the current process if the quality inspection is qualified, and selecting to revise the current process if the quality inspection is unqualified; for the current procedure which is not qualified in quality inspection and is selected to be revised, the quality inspection personnel or the robot program need to upload the quality inspection results which accord with the quality inspection data type and the quality inspection data configuration defined by the current procedure; meanwhile, sending a quality inspection and verification message of the current process to the operator or the robot program of the current process, and informing the operator or the robot program of the current process whether the quality inspection of the processing result submitted by the task corresponding to the current process is qualified; further comprising the following steps: for the current process which is unqualified in quality inspection and needs to be revised again, the current process is put into a task square again and can be completed by any operator or robot program of the team without waiting for the original operator of the current process to reprocess; after the current process is finished, performing quality inspection again by any quality inspection personnel of the team, entering the next process of the current process if the quality inspection is qualified, and putting the current process into a task square again if the quality inspection is unqualified, so that the current process is in a state to be received until the quality inspection of a processing result submitted by a task corresponding to the current process is qualified; adding or deleting quality inspection operation to or from the finished process before the current process or the unfinished process after the current process according to actual requirements;
preferably, the real-time viewing of the completion progress of the process includes: the creator or manager of the team can log in an account at any time to check the process, wherein green marks are marked at the bottom of the finished processes for distinguishing, a task list of each finished process can be seen, and the completion progress of the process can be clearly shown in percentage; for tasks which are not completed according to the specified working hours of the working procedures when the process is designed, the tasks corresponding to the working procedures can be put into a task square again; at this time, the process is changed from the working state to the standby state, and the work is freely picked up by the crew or the robot program.
Further, after the process in any step is completed, a spatial data processing result corresponding to the version is generated; and if the whole process flow has a plurality of treatments, the history record is stored in each treatment, so that the process flow can be conveniently searched, and the data record is provided for the optimization of the data processing process.
The spatial data processing flow control method provided by the embodiment of the invention has the following advantages: 1) the process of spatial data processing is controlled from the perspective of process design, so that standardized operation of the spatial data processing process is realized; 2) the process is arbitrarily split and combined during process design, so that flexible division of tasks is realized; 3) each procedure is defined with strict data types and data configurations, and the input and output standardization of a spatial data processing process can be realized; 4) the quality inspection operation with flexible procedures can deal with the user requirement change and the sudden problems encountered in data processing, reduce the risk of redesigning the process and reworking, realize the repeated use of the process and reduce the cost of flow control; 5) the remote account logs in, downloads, completes and submits tasks, and multi-user remote cooperative processing of spatial data is realized; 6) tasks which are not completed according to the specified working hours are changed into a state to be picked up and are recognized and completed by operators, so that the automatic supervision and prompting of task completion are realized, and the probability of the delay of the whole spatial data processing caused by the personal problems of a certain operator is reduced; 7) the remote real-time job task monitoring is realized; 8) the method can keep the data version information, realize version control and provide a data basis for the subsequent comparison and analysis of the spatial data processing results of each version.
Specific embodiments of the present application are disclosed in detail with reference to the following description and drawings, indicating the manner in which the principles of the application may be employed. It should be understood that the embodiments of the present application are not so limited in scope. The embodiments of the application include many variations, modifications and equivalents within the spirit and scope of the appended claims.
Drawings
The accompanying drawings, which are included to provide a further understanding of the embodiments of the application, are incorporated in and constitute a part of this specification, illustrate embodiments of the application and together with the description serve to explain the principles of the application. It should be apparent that the drawings in the following description are merely some embodiments of the present application, and that other drawings may be obtained by those skilled in the art without inventive exercise.
FIG. 1 is a spatial data processing flow control diagram;
FIG. 2 is a control diagram of the spatial data human-machine co-processing;
FIG. 3 is a spatial data processing quality control diagram;
FIG. 4 is a spatial data task management control diagram.
Detailed Description
In order to facilitate understanding of the present invention, a control method of the spatial data processing flow will be more clearly and completely described below with reference to the related drawings. The attached drawings show an example of a spatial data processing flow control method. The spatial data processing flow control method may be implemented in many different forms and is not limited to the example diagrams described herein. Thus, the following detailed description of the example figures of the present invention provided in the accompanying drawings is not intended to limit the scope of the invention as claimed, but is merely representative of selected example figures of the invention. All other examples, which can be obtained by a person skilled in the art without any inventive step based on the examples of the present invention, are within the scope of protection of the present invention.
As shown in fig. 1, the spatial data processing flow control chart includes the following steps:
firstly, a user issues a task of processing the spatial data in an order form, namely, an order is issued;
secondly, selecting or building a process, if the process in the process pool meets the requirement of the order, directly selecting the process in the process pool, if not, building the process according to the actual requirement, and storing the newly built process in the process pool;
and thirdly, separating the processes, namely separating the processes contained in the process, and distributing the processes in sequence according to the sequence arranged in the process. There are two ways of distribution, one to the human operator, i.e. putting the process into the manual process pool, the other to the robot program, i.e. putting the process into the automatic process pool. Only after the process is completed, the next process can be distributed;
fourthly, manual processing or robot program processing; firstly, for the process put into the manual process pool, the operator claims or issues the process to the operator, and the operator can flexibly select a tool recommended by a computer or good at the operator to process the task corresponding to the process. Secondly, automatically claiming or issuing the procedures put into the automatic procedure pool to the robot by a robot program, and processing the procedures by the robot program;
fifthly, submitting a result, and submitting a processing result of the procedure;
and sixthly, performing quality inspection on the submitted result. And if the quality inspection is qualified, entering the next procedure, and if the quality inspection is not qualified, re-entering the procedure pool for operators to select and claim.
The method selects or newly builds a process according to the issued spatial data processing order, separates the processes contained in the process, enables the spatial data processing flow to be more standardized through the management of the process processing and the submitted result, and realizes the control of the whole spatial data processing flow. Firstly, the treatment of each procedure can be carried out by an operator or automatically by a robot program without limitation, and the treatment tool used by the operator during the treatment is not limited, so that the flexibility of the treatment process is realized. And secondly, specific data types and data configurations are set for processing results submitted after each process is finished, and the standardization of space data processing input and output is realized. And thirdly, quality inspection operation can be carried out on the processing result of each procedure, so that the reliability of the quality of the processing result of the procedure is improved. The combination of the three components makes the control method of the spatial data processing flow provided by the invention have wide application requirements.
As shown in FIG. 2, the man-machine coprocessing control chart of the spatial data comprises the following steps:
step one, claiming or issuing a working procedure m; the claiming procedure m refers to the mth procedure which is claimed manually by any operator in a team or automatically by a robot program; the issuing process m refers to the process m is distributed to a certain operator or robot program by personnel in a team who have scheduling authority;
secondly, manual processing or robot program processing; if the process is issued to or claimed by an operator, the process is manually processed by the operator, the operator can flexibly select tools recommended by a computer or good at the operator, and if the process is issued to or automatically claimed by a robot program, the process is automatically processed by the robot program;
thirdly, submitting a result; whether the working procedure is finished by an operator or a robot program, uploading the processing result;
fourthly, whether quality inspection is carried out or not; selecting whether the submitted processing result is subjected to quality inspection, if so, entering the fifth step, and if not, directly entering a seventh step of claiming or issuing a working procedure m + 1;
fifthly, manual quality inspection or robot program quality inspection; and if the submitted result is subjected to quality inspection by a quality inspector, the quality inspection is manual quality inspection. And if the submitted result is subjected to quality inspection by the robot program, the quality inspection of the robot program is carried out. Whether the submitted result is processed by a manual process or a robot program, if the quality inspection is needed, the manual quality inspection or the robot program quality inspection can be flexibly selected according to the actual situation;
sixthly, judging whether the quality inspection is qualified or not; and if the quality inspection is not qualified, putting the task into the task square again, repeating the first step to the sixth step until the quality inspection is qualified, and submitting a processing result meeting the quality inspection requirement. If the quality inspection is qualified, directly entering the next procedure, namely entering a seventh step of claiming or issuing procedure m + 1;
seventhly, claiming or issuing a working procedure m + 1; the claiming procedure m +1 refers to the procedure of (m + 1) th procedure of manual claiming by any operator in a team or automatic claiming by a robot program; the issuing process m +1 refers to that the personnel in the team with the scheduling authority allocates the (m + 1) th process to a certain operator or robot program;
for each procedure, the operator can actively claim and finish or issue the procedure to the operator, or the robot program can automatically claim and finish or issue the procedure to the robot. Similarly, when the submitted processing result needs quality inspection, the quality inspection worker can actively claim the processing result or send the processing result to the quality inspection worker for completion, or the robot program can automatically claim the processing result or send the processing result to the robot program for completion. And the quality inspection of the task submission result is performed by a quality inspector or a robot program, and the task is not related to the completion of the task by an operator or the robot program, so that the processing and the quality inspection of the working procedure can be flexibly matched. The man-machine cooperation processing mode provided by the invention realizes flexible matching operation of the human and the machine, can improve the efficiency of spatial data processing, and provides more powerful guarantee for the completion of spatial data processing tasks.
As shown in fig. 3, the spatial data processing quality control map includes the following steps:
step one, claiming or issuing a working procedure m, wherein the working procedure is changed into a claiming state from a newly-built state; the claiming procedure m refers to the mth procedure which is claimed manually by any operator in a team or automatically by a robot program; the issuing process m refers to that personnel in a team have scheduling authority distribute the mth process to a certain operator or robot program;
step two, processing the tasks contained in the process m, wherein the process is changed from a receiving state to a processing state, and if the tasks are issued to or claimed by an operator, the tasks are manually processed by the operator; the operator can flexibly select a good tool or a tool automatically recommended by the system to process the task. If the task is issued to the robot program or automatically claimed by the robot program, the task is automatically processed by the robot program;
thirdly, submitting the completed task, wherein the process is changed from a processing state to a submitting state;
fourthly, selecting whether the quality of the submitted result of the task is checked; entering the fifth step if quality inspection is needed; if the quality inspection is not needed, directly entering the next procedure, namely entering a seventh step of claiming or issuing procedure m + 1;
fifthly, quality inspection treatment is carried out, and the process is changed from a submission state to a quality inspection state; the quality inspection can be performed manually by quality inspectors in the team, and can also be performed automatically by a computer;
sixthly, judging whether the quality inspection is qualified or not; and if the quality inspection is qualified, directly entering the next procedure, namely entering a seventh step of claiming or issuing procedure m + 1. If the quality inspection is unqualified, selecting and revising the submitted task, and converting the process from a quality inspection state to a revision state; submitting a quality inspection result which accords with the quality inspection data type and the quality inspection data configuration, and simultaneously informing an operator or a robot program of the task whether the quality inspection result of the task is qualified or not; the task is put into the task square again, the procedure is changed from the revision state to the new state, the first step to the sixth step are repeated until the quality inspection is qualified, and the processing result meeting the quality inspection requirement is submitted;
seventhly, claiming or issuing the process m +1, wherein the process is changed into a claiming state from a newly-built state; the claiming procedure m +1 refers to the procedure of (m + 1) th procedure of manual claiming by any operator in a team or automatic claiming by a robot program; the issuing process m +1 refers to that the personnel in the team with the scheduling authority allocates the (m + 1) th process to a certain operator or robot program.
For the processing result of each procedure, whether the procedure is subjected to quality inspection or not can be selected by experience during process design, and the control of the spatial data processing quality is realized. When the output result of a certain procedure in actual data production is inconsistent with a preset result, quality inspection can be temporarily added to the procedure until the procedure submits a processing result meeting requirements, and quality inspection operation can also be added to procedures before the procedure, so that the reason for the problem of the processing result of the procedure is gradually checked, the flexible application of the process is realized, and the risk of reworking is reduced. On the other hand, for the process with unqualified quality inspection, the process is put into a task square again and can be processed by any worker or robot program of a team without waiting for the original process of the operator, so that the efficiency and the openness of spatial data processing are improved, and the overall progress of the spatial data processing is reduced due to the personal reason of a certain operator.
As shown in fig. 4, the spatial data task management control chart includes the following steps:
step one, splitting the procedure A into m parts, namely submitting m parts of processing results after the procedure is finished; if the process B, C is the next process of the process a, the two processes are in parallel, and the process B, C does not select and combine the submission results of the process a, then the two processes B, C both include m tasks. Wherein the process B comprises the following steps1To BmIn total m tasks, B1The task may correspond to any one of the m processing results submitted by Process A, namely A1To AmAnd B1To BmIs a one-to-one random assignment. For the purpose of clearly expressing the number of tasks included in the process, the diagram is B1Corresponds to A1，B2Corresponds to A2，BmCorresponds to Am. The step C includes the step C1To CmIn total m tasks, C1The task may correspond to any one of the m processing results submitted in the step A, and for convenience of expression, the task is shown as C1Corresponds to A1，C2Corresponds to A2，CmCorresponds to Am. If the working procedures B and C are selected to be combined, only one task is included;
step two, splitting the working procedures B and C, wherein the working procedures B and C have no sequence, and which working procedure is finished firstly can be selected randomly; and (3) splitting the process B into n1 parts, namely splitting m tasks contained in the process B into n1 parts, and not combining the results submitted by the process D, so that the process D contains m × n1 tasks in total. If the procedure D selects to merge, the procedure D only comprises one task. And splitting the process C into n2 parts, and not combining the results submitted by the process C by the process E, so that the process E comprises m × n2 parts of tasks in total. If the procedure E selects to merge, the procedure E only comprises one task;
and thirdly, selecting whether the processing results submitted by the working procedures D and E are combined or not. Step F is the next step of step D, E, and when all steps D, E are completed, step F is performed. If the process F is set to merge when defined, the process F only includes one task. If process F chooses not to merge, the tasks included in process F will yield two results, depending on the number of copies of the tasks included in process D, E. If the fraction m × n1 contained in process D is greater than the fraction m × n2 contained in process E, process F contains m × n1 jobs, each job including any one of the fractions m × n1 in process D and all of the jobs in process E. If the process E includes a greater number of copies m × n2 than the process D includes a greater number of copies m × n1, then the process F includes m × n2 copies of the job, each copy including any one of the m × n2 copies of the process E and all of the jobs in the process D.
During process design, the splitting and merging of tasks can be flexibly set according to the workflow of the corresponding processing task of each procedure. In the actual situation of data production, whether the working procedures are split or not, the split number of copies and whether the working procedures are combined or not can be modified according to the actual requirements, so that the flexible labor division processing of tasks is realized.
The above description is only for the specific embodiment of the present invention, but the scope of the present invention is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present invention are 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 (8)
1. The spatial data processing flow control method is characterized by comprising the following steps:
the method comprises the following steps of designing a process, processing an order task according to spatial data issued by a user, and performing decomposition and planning processing on a plurality of procedures on the task by using professional knowledge and actual conditions;
the task corresponding to the current working procedure is finished automatically by a corresponding working procedure handler or a robot program;
uploading a processing result which accords with the definition of the current procedure, and uploading a processing result of a task corresponding to the current procedure, which accords with the data type and the data configuration defined when the current procedure is designed, when the current procedure is completed;
checking the completion progress of the process in real time;
wherein, the task corresponding to the current process is completed further including:
operators in the team can log in an account at any place by themselves to pick up a task corresponding to the current working procedure and select a recommended or good processing tool to complete the task; selecting whether the current process is split or combined; and when the processing task corresponding to the current process is finished, automatically switching to the next process, and allowing the operators in the team to freely log in and receive in different places to complete the processing task corresponding to the next process.
2. The spatial data processing flow control method according to claim 1, wherein the process design is a new process designed for the spatial data processing procedure or an existing process selected from a process pool; defining a name, description, originator and version number for the new process when designing the process; storing the designed process in a process pool for repeated use;
the process of the process design can select the existing process or define a new process in a process pool; defining a name, abbreviation, description, output data type, output data configuration, quality inspection data type, quality inspection data configuration and the like for the new process;
when the process is designed, defined procedures are directly matched with procedures contained in the process, and the procedures are connected in sequence by using a one-way arrow; and when the working procedures are matched, the information of whether the selection result is split or not, whether the selection result is combined or not, the construction period time, the working procedure difficulty, whether the selection result is quality checked or not and the like can be automatically prompted.
3. The spatial data processing flow control method of claim 2, wherein said defining said process requires setting an output data type and an output data configuration for said process, comprising:
setting the output data type and the quality inspection data type of the working procedure, selecting the existing data type and the corresponding data configuration, or creating the data type and the data configuration according to requirements; when the data type is newly created, any number of data configurations corresponding to the data type must be newly created at the same time, that is, the data type and the data configuration are in a one-to-one or one-to-many relationship; the data type comprises name, category, suffix name, abbreviation, description, reference address, publisher and version number information, and the data configuration comprises name, key value, attribute field and dimension information.
4. The spatial data processing flow control method according to claim 1, wherein the task corresponding to the current process further includes: the completion of the current task can be picked up and completed by an operator, or a creator or a manager of the team can issue the processing task corresponding to the current process to a certain operator of the team for completion; the processing task corresponding to the current process can be automatically picked up and completed by a robot program, or the processing task corresponding to the current process is issued to the robot program by a creator or an administrator of the team to be automatically completed.
5. The spatial data processing flow control method according to claim 1 or 4, wherein the completing the task corresponding to the current process further comprises: whether the current process is split or not is selected, if the current process is split, the tasks corresponding to the current process can be split into a fixed number of copies or any split number of copies according to the definition during the design of the current process, and the split tasks are in a parallel relation; if the next procedure of the current procedure is not selected to be combined, the next procedure of the current procedure can generate parallel tasks with corresponding scores, and the parallel tasks can be processed and completed by the team operator at the same time; if the next procedure of the current procedure is selected to be combined, the next procedure of the current procedure only comprises one task, namely the splitting of the current procedure is meaningless; if the current process does not select splitting, the tasks of the next process of the current process and the next process of the current process only comprise one copy; the situations are all under the premise that the current process only comprises one task before the current process selects whether the current process is split or not;
and if the next procedure of the current procedure is selected to be combined, the next procedure of the current procedure only comprises one task no matter how the current procedure and the procedure before the current procedure are split and combined.
6. The spatial data processing flow control method according to claim 1, further comprising, after uploading the processing result that conforms to the current process definition: performing quality inspection operation on the uploaded processing result of the task corresponding to the current process according to whether the current process is defined during process design or not; if the current process is defined as needing quality inspection, automatically performing quality inspection on a processing result submitted by a task corresponding to the current process by a quality inspection person or a robot program, entering the next process of the current process if the quality inspection is qualified, and selecting to revise the current process if the quality inspection is unqualified;
for the current procedure which is not qualified in quality inspection and is selected to be revised, the quality inspection personnel or the robot program need to upload the quality inspection results which accord with the quality inspection data type and the quality inspection data configuration defined by the current procedure; meanwhile, sending a quality inspection and verification message of the current process to the operator or the robot program of the current process, and informing the operator or the robot program of the current process whether the quality inspection of the processing result submitted by the task corresponding to the current process is qualified;
further comprising the following steps:
for the current process which is unqualified in quality inspection and needs to be revised again, the current process is put into a task square again and can be completed by any operator or robot program of the team without waiting for the original operator of the current process to reprocess; after the current process is finished, performing quality inspection again by any quality inspection personnel of the team, entering the next process of the current process if the quality inspection is qualified, and putting the current process into a task square again if the quality inspection is unqualified, so that the current process is in a state to be received until the quality inspection of a processing result submitted by a task corresponding to the current process is qualified;
and adding or deleting quality inspection operation to or from the finished process before the current process or the unfinished process after the current process according to actual requirements.
7. The spatial data processing flow control method according to claim 1, wherein said checking the completion progress of the process in real time comprises: the creator or manager of the team can log in an account at any time to check the process, wherein green marks are marked at the bottom of the finished processes for distinguishing, a task list of each finished process can be seen, and the completion progress of the process can be clearly shown in percentage; for tasks which are not completed according to the specified working hours of the working procedures when the process is designed, the tasks corresponding to the working procedures can be put into a task square again; at this time, the process is changed from the working state to the standby state, and the work is freely picked up by the crew or the robot program.
8. The spatial data processing flow control method according to claim 1, wherein a spatial data processing result of a corresponding version is generated after the process in any one of the steps is completed; and the result data generated by any operation in the process design flow can keep the historical version data corresponding to the process, so that the whole process flow can be repeatedly executed at a certain process when the process flow goes wrong until a processing result meeting the requirement is obtained; and if a certain process has several treatments, the history records are stored in each treatment, so that the data processing method can be conveniently searched, and the data records are provided for the optimization of the data processing process.
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| CN109118347B (en) * | 2018-07-20 | 2022-12-27 | 苏宁易购集团股份有限公司 | Automatic cooperation method and system |
| CN113780767B (en) * | 2021-08-25 | 2023-12-29 | 中国人民解放军军事科学院战争研究院 | General survey data acquisition and quality evaluation coupling system |
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Effective date of registration: 20221228 Address after: Room 201, Room 101, Building 1, No. 18, Daoyuan Road, High-tech Zone, Suzhou City, Jiangsu Province, 215000 Patentee after: SUZHOU ZHONGKETIANQI REMOTE SENSING TECHNOLOGY CO.,LTD. Address before: 215000 No. 78 Keling Road, Suzhou High-tech Zone, Suzhou City, Jiangsu Province Patentee before: SUZHOU ZHONGKELANDI SOFTWARE TECHNOLOGY CO.,LTD. |