CN106127365A - Quantitative remote sensing On-line Product interactive mode autonomous production method - Google Patents
Quantitative remote sensing On-line Product interactive mode autonomous production method Download PDFInfo
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Abstract
The invention discloses a kind of quantitative remote sensing On-line Product interactive mode autonomous production method, relate to data processing field.Described method: the order taking responsibility submitting user to is planned and decomposes, and obtains the task of target product；Utilize visual modeling mode to define acquisition Remote Sensing Products and produce service procedure template, and the resource of demand in order taking responsibility and Remote Sensing Products are produced the binding of service procedure Template Map；Described resource includes: data resource, authority resource and functional resources；Utilize workflow engine scheduling to calculate resource, drive Remote Sensing Products to produce the execution of service procedure template, obtain the target product needed for user.Present invention achieves user to producing the assurance of service details and facilitating user from main separation Remote Sensing Products.
Description
Technical field
The present invention relates to data processing field, particularly relate to a kind of quantitative remote sensing On-line Product interactive mode autonomous production side
Method.
Background technology
After user proposes product demand, existing quantitative remote sensing product production system is in the case of disconnecting with user, under line
Completing target product to produce, production process is monitored by production division, does not feed back to user, and user cannot monitor product
Production process, manufacturing schedule, production unit and deadline etc., production model is not directly perceived, and user is without interactive；Existing quantitatively
Remote Sensing Products production system does not support user's amendment or the demand of formulation priority in the production process of target product；Existing
The interactive interface of quantitative remote sensing product production system professional too strong must be requested that operation user has the strongest remote sensing specialty
Knowledge, range is limited to.
Summary of the invention
It is an object of the invention to provide a kind of quantitative remote sensing On-line Product interactive mode autonomous production method, thus solve existing
There is foregoing problems present in technology.
To achieve these goals, quantitative remote sensing On-line Product interactive mode autonomous production method of the present invention, described side
Method includes:
S1, the order taking responsibility submitting user to is planned and decomposes, and obtains the task of target product；
S2, utilizes visual modeling mode to define acquisition Remote Sensing Products and produces service procedure template, and by order taking responsibility
The resource of demand and Remote Sensing Products produce the binding of service procedure Template Map；Described resource includes: data resource, authority resource and
Functional resources；
S3, utilizes workflow engine scheduling to calculate resource, drives Remote Sensing Products to produce the execution of service procedure template, obtain
Target product needed for user.
Preferably, step S1, realize the most as steps described below: obtain all mesh that all users input in order taking responsibility
All target product demands are carried out semantic interpretation by mark product demand；Obtain the time index of each target product demand, region
Index, data source index and resolution index；Then demand identical for index is merged into the executable single task role of same,
The order taking responsibility completing user's submission is planned and decomposes.
It is highly preferred that when the scope of any one index of target product demand A is included in or needs equal to target product
When seeking the scope of corresponding index of B, target product demand A and target product demand B are merged into same executable
Single task role.
Preferably, further comprising the steps of between step S1 and step S2, realize the most as steps described below: judge product
Whether thesaurus exists the product obtained after the task of performance objective product, if it is, directly product is stored stock
The corresponding product of storage, is sent to user；If it is not, then enter S2.
Preferably, step S2, realize the most as steps described below:
S21, the Remote Sensing Products having obtained target product task from data base produces service procedure template；
S22, it is judged that whether the comprised algorithm that described Remote Sensing Products produces in service procedure template has renewal, if it is,
From model library, then transfer the algorithm routine after renewal update algorithm in Remote Sensing Products production service procedure template, enter S23；As
The most no, then enter S23；
S23, transfers the data that target product relates to, and described data is produced in service procedure template with Remote Sensing Products
Algorithm map bindings one by one.
It is highly preferred that in step S21, described Remote Sensing Products produce service procedure template include main controlled node, start node,
End node and n process node, described n >=1；
Described main controlled node and described start node, described end node and the communication connection of described process node；
Described main controlled node is responsible for node start-stop logic, node execution logic and the process control describing between each node
Logic；It is also responsible for defining each node tasks process, procedure parameter, task node, node transition condition, remotely-sensed data type；
The most bound a kind of algorithm of any one node or a formula, and all produced service procedure as Remote Sensing Products
An independent algorithm in template exists.
Preferably, step S3, realize the most as steps described below:
S31, obtains the Remote Sensing Products performing to bind resource in step S2 and produces the request of service procedure template；
S32, produces the start node defined in service procedure template, according to described in it from the Remote Sensing Products of binding resource
Execution logical execution flow template, till the end node that is finished；Process visualization will be performed in real time to viewing area
Show user or supervisor.
Preferably, in step S2 and step S3, management scheduling system is related to；
Described management scheduling system, is responsible for dispatching Remote Sensing Products and produces the acquisition process of service procedure template, management
The data, the management and dispatching that need in scheduling generation Remote Sensing Products production service procedure template procedure need during generating target product
Resource, the management and dispatching wanted generate target product and perform process and the displaying of management and dispatching target product and management.
Preferably, monitoring system is related in step s3；
Described monitoring system, is responsible for the execution process of monitoring objective product task, and forms exception in the process of implementation
The log recording of reason/execution.
The invention has the beneficial effects as follows:
After user have selected product, the method for the invention ensure that the user's each link at production, can
According to different needs, carry out parameter setting, thus realize the assurance producing service details.In response user's Remote Sensing Products service
During request, the present invention can will be supplied to user to the evaluation information producing service procedure in the way of visual guide formula, side
Just user services from main separation Remote Sensing Products.
Accompanying drawing explanation
Fig. 1 is the schematic flow sheet of described quantitative remote sensing On-line Product interactive mode autonomous production method；
Fig. 2 is the scheduling schematic diagram of management scheduling system.
Detailed description of the invention
In order to make the purpose of the present invention, technical scheme and advantage clearer, below in conjunction with accompanying drawing, the present invention is entered
Row further describes.Should be appreciated that detailed description of the invention described herein, only in order to explain the present invention, is not used to
Limit the present invention.
Embodiment
Quantitative remote sensing On-line Product interactive mode autonomous production method described in the present embodiment, described method includes:
S1, the order taking responsibility submitting user to is planned and decomposes, and obtains the task of target product；
S2, utilizes visual modeling mode to define acquisition Remote Sensing Products and produces service procedure template, and by order taking responsibility
The resource of demand and Remote Sensing Products produce the binding of service procedure Template Map；Described resource includes: data resource, authority resource and
Functional resources；
S3, utilizes workflow engine scheduling to calculate resource, drives Remote Sensing Products to produce the execution of service procedure template, obtain
Target product needed for user.
It is explained in more detail explanation:
(1) step S1, realizes the most as steps described below:
Obtain all target product demands that all users input in order taking responsibility, all target product demands are carried out language
Justice interpretation；Obtain the time index of each target product demand, zone index, data source index and resolution index；Then will
The demand that index is identical is merged into the executable single task role of same, and the order taking responsibility completing user's submission carries out planning and dividing
Solve.
When target product demand A is identical with the index kind of target product demand B, and target product demand A is any one
When the scope of individual index is included in or is equal to the scope of the index corresponding with target product demand B, by target product demand A
The executable single task role of same is merged into target product demand B.
This step is that the order taking responsibility submitting user to is planned and decomposes, and completes follow-up product on-demand customization stream
The making of journey and production, output, complete user's order reception and parsing, is decomposed into by order taking responsibility a plurality of executable single
Task.Meanwhile, the product customization service role of user is carried out the demand that user is obscured by statistics and analysis, according to product
The time index of demand, zone index, data source index and resolution index carry out semantic interpretation, resolve into time of determination, really
Determine region, determine data element, determine the demand of resolution, then same requirements is merged.
(2) further comprising the steps of between step S1 and step S2, realize the most as steps described below: judge that product is deposited
Matured product obtained after whether there is the task of performance objective product in bank, if it is, directly store product
The corresponding product of library storage, is sent to user；If it is not, then enter S2.
(3) step S2, realizes the most as steps described below:
S21, the Remote Sensing Products having obtained target product task from data base produces service procedure template；
S22, it is judged that whether the comprised algorithm that described Remote Sensing Products produces in service procedure template has renewal, if it is,
From model library, then transfer the algorithm routine after renewal update algorithm in Remote Sensing Products production service procedure template, enter S23；As
The most no, then enter S23；
S23, transfers the data that target product relates to, and described data is produced in service procedure template with Remote Sensing Products
Algorithm map bindings one by one.
In step S21, described Remote Sensing Products produces service procedure template and includes main controlled node, start node, end node
With n process node, described n >=1；
Described main controlled node and described start node, described end node and the communication connection of described process node；
Described main controlled node is responsible for node start-stop logic, node execution logic and the process control describing between each node
Logic；It is also responsible for defining each node tasks process, procedure parameter, task node, node transition condition and remotely-sensed data type；
The most bound a kind of algorithm of any one node or a formula, and all produced service procedure as Remote Sensing Products
An independent algorithm in template exists.
In this step, Remote Sensing Products produces the rapid build of service procedure template is to realize the service of Remote Sensing Products flexible production
Basis.Wherein flow process polymerization is the important step that Remote Sensing Products produces in service process.Refer in the way of visual guide formula
Determine production service node and internodal dependence.Polymerization process includes two stages, is first to produce service procedure
The structure of template, it is a kind of abstract service describing, does not bind remotely-sensed data.Second stage, binding remotely-sensed data etc.
Complete the instantiation of template.
Remote Sensing Products produces the rapid build of service procedure template and studies based on Workflow Custom framework, and this framework supports net
Software occupation mode under network environment, including PC cluster, Web Service service etc..This framework supports visual full stream
Journey customizes, i.e. handling process, remotely-sensed data, data type, algorithm, the flexible customization of calculating resource.Service procedure example performs
Monitor the production model according to production line customization, it is provided that service of goods: access data, analyze and process data, with one
Simply and intuitively method, it is achieved the visualization of flow process performs.Service procedure management and dispatching designs corresponding Workflow Management
Come handling process circulation and flow definition, and the production service that each is independent is encapsulated, the most integrated each spacelike
Between with the functional part of non-space operation, thus realize the Seamless integration-of each several part.
(4) step S3, realizes the most as steps described below:
S31, obtains the Remote Sensing Products performing to bind resource in step S2 and produces the request of service procedure template；
S32, produces the start node defined in service procedure template, according to described in it from the Remote Sensing Products of binding resource
Execution logical execution flow template, till the end node that is finished；Process visualization will be performed in real time to viewing area
Show user or supervisor.
Control and operation to production flow process in this step, is the core of workflow execution monitoring, wherein said work
The task of making stream engine is to explain the definition of production service process, driving process and the execution State Transferring of node, maintenance
Workflow control data and data product circulation.
It is controlled producing order based on workflow engine technology, receives client in Web Service mode and submit to
Sequence information.After user have selected product, each link of production, parameter can be carried out set according to different needs
Fixed, thus realize the assurance producing service details.
Execution process visualization to viewing area is showed by step S32 in real time user or supervisor real based on interaction technique
Existing, interaction technique makes graphics system be provided that various different interactive function, enables users to conveniently and efficiently complete tradition side
Method does the work of more difficulty.On existing quantitative remote sensing product production system, product is due to huge number, specialized vocabulary
Complicated hard to understand, it is impossible to accomplish the product demand that automated analysis user proposes, can only all demonstrate from system and be available for user
The whole options selected, are selected by professional user.And, the application can be real by setting up guide type User Interface
Existing；The described step setting up guide type User Interface includes: integrate multiple Remote Sensing Products knowledge base and combing product point
Class system；Foundation is simply input conditions leading user and positions required Remote Sensing Products.
(5) in step S2 and step S3, management scheduling system is related to；Relate to monitoring system in step s3；Institute
State monitoring system, be responsible for the execution process of monitoring objective product task, and form the day of abnormality processing/execution in the process of implementation
Will record.
Described management scheduling system, is responsible for dispatching Remote Sensing Products and produces the acquisition process of service procedure template, management
The data, the management and dispatching that need in scheduling generation Remote Sensing Products production service procedure template procedure need during generating target product
Resource, the management and dispatching wanted generate target product and perform process and the displaying of management and dispatching target product and management.
The requirement run due to service platform businessization, therefore carries out administration by different levels to multitask flow process, and sets up product
Produce service procedure case library and production service procedure template base.The such as list of production service procedure instant node
Have recorded quantitative remote sensing algorithm information, such as input/output argument, runtime environment etc., produce the relation list between service link
Save the dependence between algorithm.For production service procedure template, node repository management start node, end node,
The node types such as subtask, active node, synchronization node, routing node, flow template is registered in service dispatch system, not only
Reusing of convenient production service procedure, and when responding user's Remote Sensing Products service request, it is possible to visual guide formula
Mode, by the evaluation information producing service procedure is supplied to user, facilitates user from main separation Remote Sensing Products service.
The scheduling of the resources of production has changed into the bottleneck that the quantitative remote sensing product of scale automatization quickly produces.Produce money
The optimizing scheduling in source is primarily directed to the Optimized Operation of the computing capability of production service procedure demand, performs from production task
Time, the acquisition time of data product calculating resource evaluate optimization.
By using technique scheme disclosed by the invention, obtain following beneficial effect: have selected product user
After product, the method for the invention ensure that the user's each link at production, can carry out parameter set according to different needs
Fixed, thus realize the assurance producing service details.When responding user's Remote Sensing Products service request, the present invention can be with visually
The mode changing wizard-like will be supplied to user to the evaluation information producing service procedure, facilitates user to take from main separation Remote Sensing Products
Business.
The above is only the preferred embodiment of the present invention, it is noted that for the ordinary skill people of the art
For Yuan, under the premise without departing from the principles of the invention, it is also possible to make some improvements and modifications, these improvements and modifications also should
Depending on protection scope of the present invention.
Claims (9)
1. a quantitative remote sensing On-line Product interactive mode autonomous production method, it is characterised in that described method includes:
S1, the order taking responsibility submitting user to is planned and decomposes, and obtains the task of target product；
S2, utilizes visual modeling mode to define acquisition Remote Sensing Products and produces service procedure template, and by demand in order taking responsibility
Resource and Remote Sensing Products produce the binding of service procedure Template Map；Described resource includes: data resource, authority resource and function
Resource；
S3, utilizes workflow engine scheduling to calculate resource, drives Remote Sensing Products to produce the execution of service procedure template, obtain user
Required target product.
Quantitative remote sensing On-line Product interactive mode autonomous production method the most according to claim 1, it is characterised in that step S1,
Concrete realization as steps described below:
Obtain all target product demands that all users input in order taking responsibility, all target product demands are carried out semantic solution
Translate；Obtain the time index of each target product demand, zone index, data source index and resolution index；Then by index
Identical demand is merged into the executable single task role of same, and the order taking responsibility completing user's submission is planned and decomposes.
Quantitative remote sensing On-line Product interactive mode autonomous production method the most according to claim 2, it is characterised in that when target is produced
When the scope of any one index of product demand A is included in or is equal to the scope of the index corresponding with target product demand B,
Target product demand A and target product demand B are merged into the executable single task role of same.
Quantitative remote sensing On-line Product interactive mode autonomous production method the most according to claim 1, it is characterised in that step S1 with
Between step S2 further comprising the steps of, the most as steps described below realize:
Judge whether product thesaurus exists the product obtained after the task of performance objective product, if it is, directly will
The corresponding product of product thesaurus storage, is sent to user；If it is not, then enter S2.
Quantitative remote sensing On-line Product interactive mode autonomous production method the most according to claim 1, it is characterised in that step S2,
Concrete realization as steps described below:
S21, the Remote Sensing Products having obtained target product task from data base produces service procedure template；
S22, it is judged that whether the comprised algorithm that described Remote Sensing Products produces in service procedure template has renewal, if it is, from
Model library is transferred the algorithm routine after renewal and updates algorithm in Remote Sensing Products production service procedure template, enter S23；If
No, then enter S23；
S23, transfers the data that target product relates to, and with Remote Sensing Products, described data is produced the calculation in service procedure template
Method map bindings one by one.
Quantitative remote sensing On-line Product interactive mode autonomous production method the most according to claim 5, it is characterised in that step S21
In, described Remote Sensing Products produces service procedure template and includes main controlled node, start node, end node and n process node, institute
State n >=1；
Described main controlled node and described start node, described end node and the communication connection of described process node；
Node start-stop logic, node execution logic and process control that described main controlled node is responsible for describing between each node are patrolled
Volume；It is also responsible for defining each node tasks process, procedure parameter, task node, node transition condition and remotely-sensed data type；
The most bound a kind of algorithm of any one node or a formula, and all produced service procedure template as Remote Sensing Products
In independent algorithm exist.
Quantitative remote sensing On-line Product interactive mode autonomous production method the most according to claim 1, it is characterised in that step S3,
Concrete realization as steps described below:
S31, obtains the Remote Sensing Products performing to bind resource in step S2 and produces the request of service procedure template；
S32, produces the start node defined in service procedure template, according to holding described in it from the Remote Sensing Products of binding resource
Row logical execution flow template, till the end node that is finished；In real time execution process visualization is shown to viewing area
To user or supervisor.
Quantitative remote sensing On-line Product interactive mode autonomous production method the most according to claim 1, it is characterised in that in step S2
With step S3 relates to management scheduling system；
Described management scheduling system, is responsible for dispatching Remote Sensing Products and produces the acquisition process of service procedure template, management and dispatching
The data, the management and dispatching that need in generation Remote Sensing Products production service procedure template procedure need during generating target product
Resource, management and dispatching generate target product and perform process and the displaying of management and dispatching target product and management.
Quantitative remote sensing On-line Product interactive mode autonomous production method the most according to claim 1, it is characterised in that in step S3
In relate to monitoring system；
Described monitoring system, is responsible for the execution process of monitoring objective product task, and forms abnormality processing/hold in the process of implementation
The log recording of row.
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| CN111126298A (en) * | 2019-12-25 | 2020-05-08 | 二十一世纪空间技术应用股份有限公司 | Interpretation method and device of remote sensing information and electronic equipment |
| CN112308443A (en) * | 2020-11-09 | 2021-02-02 | 中国科学院空天信息创新研究院 | Batch scheduling method and device for remote sensing information product generation workflow |
| CN112698859A (en) * | 2020-12-31 | 2021-04-23 | 中科星通(廊坊)信息技术有限公司 | Online product customization system and method based on remote sensing data |
| CN113420982A (en) * | 2021-06-23 | 2021-09-21 | 中国人民解放军63921部队 | Aerospace remote sensing mapping fusion application method and system |
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| CN112308443A (en) * | 2020-11-09 | 2021-02-02 | 中国科学院空天信息创新研究院 | Batch scheduling method and device for remote sensing information product generation workflow |
| CN112308443B (en) * | 2020-11-09 | 2024-07-12 | 中国科学院空天信息创新研究院 | Batch scheduling method and device for remote sensing information product generation workflow |
| CN112698859A (en) * | 2020-12-31 | 2021-04-23 | 中科星通(廊坊)信息技术有限公司 | Online product customization system and method based on remote sensing data |
| CN113420982A (en) * | 2021-06-23 | 2021-09-21 | 中国人民解放军63921部队 | Aerospace remote sensing mapping fusion application method and system |
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| Publication number | Publication date |
|---|---|
| CN106127365B (en) | 2020-07-07 |
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