CN112764884B - Service-oriented perception cloud system, method, medium and equipment - Google Patents
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Abstract
The invention relates to a service-oriented perception cloud system, a method, a medium and equipment, wherein the system comprises: the sensing cloud resource module is used for mapping the sensor resources into virtual sensing resources; the perception cloud service module is used for carrying out service encapsulation on the virtual perception resources and establishing a perception service description model library; the perception cloud application module is used for establishing a perception application description model library; the sensing cloud management module is used for matching corresponding sensing application description models in the sensing application description model library according to task types of the sensing tasks in the user requests, matching corresponding sensing service description models in the sensing service description model library according to service requirements in the sensing application description models, calling corresponding sensor resources according to the sensing service description models, realizing dynamic provision of various sensing application services for the user as required, and effectively improving sensing capability in complex environments.
Description
Technical Field
The present invention relates to the field of a sensing cloud technology, and in particular, to a service-oriented sensing cloud system, method, medium, and device.
Background
Detecting perception faces an increasing challenge, on the one hand: the detection sensing tasks are more diversified, the detection sensing objects are more diversified and difficult to detect, and the detection sensing environment is more complex; on the other hand, due to the limitation of conditions such as performance and resources, a single sensor is difficult to complete detection sensing tasks in a complex environment. Collaborative detection sensing systems have become an effective way to improve detection sensing capabilities in complex environments.
However, the traditional networking coordination detection sensing mode is to perform networking aiming at a specific task corresponding to a specific scene, that is, the traditional networking coordination detection sensing mode can only complete the specific sensing task in the specific scene, but cannot complete the dynamic sensing task in the complex environment.
Disclosure of Invention
The invention aims to solve the technical problems in the prior art and provides a service-oriented perception cloud system, a service-oriented perception cloud method, a service-oriented perception cloud medium and service-oriented perception cloud equipment.
In order to solve the above technical problems, an embodiment of the present invention provides a service-oriented sensing cloud system, including:
the sensing cloud resource module is used for mapping the sensor resources into virtual sensing resources, establishing a sensing resource description model and aggregating to form a virtual sensing resource pool;
The perception cloud service module is used for carrying out service encapsulation on the virtual perception resources and establishing a perception service description model library, and a perception service description model in the perception service description model library comprises a service type and perception resources corresponding to the service type;
The perception cloud application module is used for establishing a perception application description model library, and a perception application description model in the perception application description model library comprises a task type and a service requirement corresponding to the task type;
And the perception cloud management module is used for matching corresponding perception application description models in a perception application description model library according to task types of detection perception tasks in user requests, matching corresponding perception service description models in a perception service description model library according to service requirements in the perception application description models, and calling corresponding sensor resources according to the perception service description models.
The beneficial effects of the invention are as follows: the sensor resource is virtualized, the virtual sensing resource is subjected to service encapsulation to obtain a plurality of sensing service description models, and a sensing service system is constructed; constructing a plurality of perception application description models according to task types and service requirements of detection perception tasks, and constructing a perception application system; the service requirement of the perception application description model is matched with the service type of the perception service description model; when a user request is received, matching corresponding perception application description models according to task types of detection perception tasks in the user request, matching corresponding perception service description models according to service requirements of the perception application description models, and calling corresponding sensor resources according to the perception service description models, so that various detection perception application services are dynamically provided for users as required, and detection perception capability in a complex environment can be effectively improved.
Based on the technical scheme, the invention can also be improved as follows:
Further, the perceived cloud resource module is specifically configured to map various sensor resources that are deployed in a dispersed manner into virtual perceived resources by using a resource virtualization technology, and build a perceived resource description model, where the perceived resource description model is as follows:
DMSR＝(ID，State，Location，Capability)
Wherein ID refers to a perceived resource identifier, state refers to the current State of a perceived resource, location refers to the geographic Location where a perceived resource entity is located, and Capability refers to the perceived Capability of the perceived resource.
The beneficial effects of adopting the further scheme are as follows: by virtualizing sensor resources into virtual sensing resources comprising content items such as ID, state, location, capability and the like, various sensor resources which are distributed and deployed are synthesized into a unified and efficient task system, a sensing cloud system is built, the inside of the sensing cloud system is sensed, various sensor resources are cooperated to work under time synchronization and space synchronization according to an optimal operation strategy through unified scheduling, interoperability, self-organization, adaptability and the like of the system are enhanced, and conditions are provided for constructing intelligent detection sensing.
Further, the perception cloud service module is specifically configured to perform service encapsulation on the virtual perception resources in the virtual perception resource pool, and build a perception service description model library, where a perception service description model in the perception service description model library is as follows:
DMSS＝(Type，Resource)
The Type refers to a service Type, and the Resource refers to sensor resources required in a detection sensing process, wherein the sensor resources are formed by sensing resources corresponding to a sensing Resource description model DMSR.
The beneficial effects of adopting the further scheme are as follows: the virtual perception resources in the virtual perception resource pool are subjected to service encapsulation, the internal attributes of the resources are hidden, the virtual perception resources are only disclosed to the outside through a unified interface, and the requirements of users for dynamically calling various sensor resources according to needs are met through a service mode.
Further, the perception cloud application module is specifically configured to establish a perception application description model library, where a perception application description model in the perception application description model library is as follows:
DMSA＝(Task，Requirement)
the Task refers to detecting a sensing Task, and the Requirement refers to detecting a service Requirement of the sensing Task, wherein the service Requirement in the sensing application description model corresponds to a service Type in the sensing service description model.
The beneficial effects of adopting the further scheme are as follows: constructing various perception application description models according to task types and service requirements of detection perception tasks; the service requirement of the perception application description model is matched with the service type of the perception service description model; when a user request is received, the needed sensor resources can be quickly obtained, various detection sensing application services can be dynamically provided for the user as required, and the detection sensing capability in a complex environment can be effectively improved.
In order to solve the technical problem, the embodiment of the invention further provides a service-oriented perception cloud method, which comprises the following steps:
matching corresponding perception application description models in a perception application description model library according to task types of detection perception tasks in a user request;
Matching a corresponding perception service description model in a perception service description model library according to service requirements in the perception application description model, and calling corresponding sensor resources according to the perception service description model;
The method comprises the steps of mapping sensor resources into virtual sensing resources in advance, establishing a sensing resource description model, and aggregating to form a virtual sensing resource pool; carrying out service encapsulation on the virtual perceived resources, and establishing a perceived service description model library, wherein a perceived service description model in the perceived service description model library comprises a service type and perceived resources corresponding to the service type; and establishing a perception application description model library, wherein the perception application description model in the perception application description model library comprises a task type and a service requirement corresponding to the task type.
The beneficial effects of the invention are as follows: the sensor resource is virtualized, the virtual sensing resource is subjected to service encapsulation to obtain a plurality of sensing service description models, and a sensing service system is constructed; constructing a plurality of perception application description models according to task types and service requirements of detection perception tasks, and constructing a perception application system; the service requirement of the perception application description model is matched with the service type of the perception service description model; when a user request is received, matching corresponding perception application description models according to task types of detection perception tasks in the user request, matching corresponding perception service description models according to service requirements of the perception application description models, and calling corresponding sensor resources according to the perception service description models, so that various detection perception application services are dynamically provided for users as required, and detection perception capability in a complex environment can be effectively improved.
Based on the technical scheme, the invention can also be improved as follows:
further, the perceived resource description model is as follows:
DMSR＝(ID，State，Location，Capability)
Wherein ID refers to a perceived resource identifier, state refers to the current State of a perceived resource, location refers to the geographic Location where a perceived resource entity is located, and Capability refers to the perceived Capability of the perceived resource.
Further, the perceptual service description model in the perceptual service description model library is as follows:
DMSS＝(Type，Resource)
The Type refers to a service Type, and the Resource refers to sensor resources required in a detection sensing process, wherein the sensor resources are formed by sensing resources corresponding to a sensing Resource description model DMSR.
Further, the perception application description model in the perception application description model library is as follows:
DMSA＝(Task，Requirement)
the Task refers to detecting a sensing Task, and the Requirement refers to detecting a service Requirement of the sensing Task, wherein the service Requirement in the sensing application description model corresponds to a service Type in the sensing service description model.
To solve the above technical problem, an embodiment of the present invention further provides a computer readable storage medium, which includes instructions, when the instructions run on a computer, to cause the computer to execute the service-oriented perceived cloud method according to the above technical solution.
In order to solve the technical problem, the embodiment of the invention also provides a computer device, which comprises a memory, a processor and a computer program stored in the memory and capable of running on the processor, wherein the service-oriented perception cloud method in the technical scheme is realized when the processor executes the program.
Additional aspects of the invention and advantages thereof will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
Drawings
FIG. 1 is a block diagram of a service-oriented perception cloud system provided by an embodiment of the present invention;
fig. 2 is a flowchart of a service-oriented cloud sensing method according to an embodiment of the present invention.
Detailed Description
The principles and features of the present invention are described below with reference to the drawings, the examples are illustrated for the purpose of illustrating the invention and are not to be construed as limiting the scope of the invention.
Fig. 1 is a block diagram of a service-oriented sensing cloud system according to an embodiment of the present invention. As shown in fig. 1, the system includes: a perceived cloud resource module 101, a perceived cloud service module 102, a perceived cloud application module 103, and a perceived cloud management module 104.
The perceived cloud resource module 101 is used for mapping the sensor resources into virtual perceived resources, establishing a perceived resource description model, and aggregating to form a virtual perceived resource pool;
the perception cloud service module 102 is configured to perform service encapsulation on the virtual perception resource, and establish a perception service description model library, where a perception service description model in the perception service description model library includes a service type and a perception resource corresponding to the service type;
the perception cloud application module 103 is configured to establish a perception application description model library, where a perception application description model in the perception application description model library includes a task type and a service requirement corresponding to the task type;
The sensing cloud management module 104 is configured to match a corresponding sensing application description model in a sensing application description model library according to a task type of a sensing task detected in a user request, match a corresponding sensing service description model in a sensing service description model library according to a service requirement in the sensing application description model, and call a corresponding sensor resource according to the sensing service description model.
In the above embodiment, the sensor resource is virtualized, and the virtual sensing resource is subjected to service encapsulation to obtain a plurality of sensing service description models, so that a sensing service system is constructed; constructing a plurality of perception application description models according to task types and service requirements of detection perception tasks, and constructing a perception application system; the service requirement of the perception application description model is matched with the service type of the perception service description model; when a user request is received, matching corresponding perception application description models according to task types of detection perception tasks in the user request, matching corresponding perception service description models according to service requirements of the perception application description models, and calling corresponding sensor resources according to the perception service description models, so that various detection perception application services are dynamically provided for users as required, and detection perception capability in a complex environment can be effectively improved.
Optionally, the perceived cloud resource module is specifically configured to map various sensor resources that are deployed in a dispersed manner into virtual perceived resources by using a resource virtualization technology, and build a perceived resource description model, where the perceived resource description model is as follows:
DMSR＝(ID，State，Location，Capability)
Wherein ID refers to a perceived resource identifier, state refers to the current State of a perceived resource, location refers to the geographic Location where a perceived resource entity is located, and Capability refers to the perceived Capability of the perceived resource.
For example, the sensor resources include sensors S1, S2, … …, sn, and the mapped virtual sensing resources include virtual sensors VS1, VS2, … …, VSn, where n represents the number of sensors.
In the above embodiment, by virtualizing the sensor resources into virtual sensing resources including content items such as ID, state, location, capability, and the like, various sensor resources distributed and deployed are synthesized into a unified and efficient task system, a sensing cloud system is built, and the inside of the sensing cloud system is configured, so that various sensor resources cooperatively work under time synchronization and space synchronization according to an optimal application strategy through unified scheduling, and the interoperability, self-organization, adaptability, and the like of the system are enhanced, thereby providing conditions for constructing intelligent detection sensing.
Optionally, the perceived cloud service module is specifically configured to service and encapsulate virtual perceived resources in the virtual perceived resource pool, and build a perceived service description model library, where a perceived service description model in the perceived service description model library is as follows:
DMSS＝(Type，Resource)
Wherein, the Type refers to service types, such as scout, monitor, track, positioning and other services; resource refers to sensor resources required in the detection sensing process, and the sensor resources are composed of sensing resources corresponding to a sensing Resource description model DMSR.
In the above embodiment, the virtual sensing resources in the virtual sensing resource pool are encapsulated in a service manner, the internal attributes of the resources are hidden, the resources are only disclosed to the outside through a uniform interface, and the requirements of users for dynamically calling various sensor resources according to needs are met through the service manner.
Optionally, the sensing cloud application module is specifically configured to establish a sensing application description model library, where a sensing application description model in the sensing application description model library is as follows:
DMSA＝(Task，Requirement)
the Task refers to detecting a sensing Task, and the Requirement refers to detecting a service Requirement of the sensing Task, wherein the service Requirement in the sensing application description model corresponds to a service Type in the sensing service description model.
In the actual detection process, the sensing cloud system receives an application request from an external user, matches a corresponding sensing application description model according to the content of the application request, finds a corresponding sensing service description model by requirements in the sensing application description model, aggregates corresponding sensor resources according to a sensing Resource description model associated with resources in the sensing service description model, and finally completes the application request proposed by the user together by the aggregated sensor resources.
The service-oriented aware cloud system provided according to the embodiment of the present invention is described in detail above with reference to fig. 1. The service-oriented cloud sensing method provided by the embodiment of the invention is described in detail below with reference to fig. 2.
As shown in fig. 2, a service-oriented perception cloud method includes:
s201, matching corresponding perception application description models in a perception application description model library according to task types of detection perception tasks in a user request;
S202, matching a corresponding perception service description model in a perception service description model library according to service requirements in the perception application description model, and calling corresponding sensor resources according to the perception service description model;
The method comprises the steps of mapping sensor resources into virtual sensing resources in advance, establishing a sensing resource description model, and aggregating to form a virtual sensing resource pool; carrying out service encapsulation on the virtual perceived resources, and establishing a perceived service description model library, wherein a perceived service description model in the perceived service description model library comprises a service type and perceived resources corresponding to the service type; and establishing a perception application description model library, wherein the perception application description model in the perception application description model library comprises a task type and a service requirement corresponding to the task type.
Optionally, the perceived resource description model is as follows:
DMSR＝(ID，State，Location，Capability)
Wherein ID refers to a perceived resource identifier, state refers to the current State of a perceived resource, location refers to the geographic Location where a perceived resource entity is located, and Capability refers to the perceived Capability of the perceived resource.
Optionally, the perceptual service description model in the perceptual service description model library is as follows:
DMSS＝(Type，Resource)
The Type refers to a service Type, and the Resource refers to sensor resources required in a detection sensing process, wherein the sensor resources are formed by sensing resources corresponding to a sensing Resource description model DMSR.
Optionally, the perceptual application description model in the perceptual application description model library is as follows:
DMSA＝(Task，Requirement)
the Task refers to detecting a sensing Task, and the Requirement refers to detecting a service Requirement of the sensing Task, wherein the service Requirement in the sensing application description model corresponds to a service Type in the sensing service description model.
The embodiment of the invention also provides a computer readable storage medium, which comprises instructions, when the instructions run on a computer, the computer is caused to execute the service-oriented perception cloud method according to the technical scheme.
The embodiment of the invention also provides computer equipment, which comprises a memory, a processor and a computer program stored in the memory and capable of running on the processor, wherein the service-oriented perception cloud method of the technical scheme is realized when the processor executes the program.
It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the apparatus and units described above may refer to corresponding procedures in the foregoing method embodiments, which are not described herein again.
In the several embodiments provided by the present application, it should be understood that the disclosed apparatus and method may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of elements is merely a logical functional division, and there may be additional divisions of actual implementation, e.g., multiple elements or components may be combined or integrated into another system, or some features may be omitted, or not performed.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed over a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the embodiment of the present invention.
In addition, each functional unit in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention is essentially or a part contributing to the prior art, or all or part of the technical solution may be embodied 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, or a network device, etc.) to perform all or part of the steps of the methods of the embodiments of the present invention. And the aforementioned storage medium includes: a usb 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.
The foregoing description of the preferred embodiments of the invention is not intended to limit the invention to the precise form disclosed, and any such modifications, equivalents, and alternatives falling within the spirit and scope of the invention are intended to be included within the scope of the invention.
Claims (4)
1. A service-oriented perception cloud system, comprising:
the sensing cloud resource module is used for mapping the sensor resources into virtual sensing resources, establishing a sensing resource description model and aggregating to form a virtual sensing resource pool;
The perception cloud service module is used for carrying out service encapsulation on the virtual perception resources and establishing a perception service description model library, and a perception service description model in the perception service description model library comprises a service type and perception resources corresponding to the service type;
The perception cloud application module is used for establishing a perception application description model library, and a perception application description model in the perception application description model library comprises a task type and a service requirement corresponding to the task type;
The sensing cloud management module is used for matching corresponding sensing application description models in a sensing application description model library according to task types of sensing tasks in user requests, matching corresponding sensing service description models in a sensing service description model library according to service requirements in the sensing application description models, and calling corresponding sensor resources according to the sensing service description models;
the sensing cloud resource module is specifically configured to map various sensor resources deployed in a scattered manner into virtual sensing resources by using a resource virtualization technology, and build a sensing resource description model, where the sensing resource description model is as follows:
DMSR＝(ID，State，Location，Capability)
wherein ID refers to a perceived resource identifier, state refers to the current State of perceived resources, location refers to the geographic position of a perceived resource entity, and Capability refers to the perceived Capability of perceived resources;
the perception cloud service module is specifically configured to perform service encapsulation on virtual perception resources in the virtual perception resource pool, and establish a perception service description model library, where a perception service description model in the perception service description model library is as follows:
DMSS＝(Type，Resource)
Wherein, the Type refers to the service Type, the Resource refers to the sensor Resource required in the detection sensing process, and the sensor Resource is composed of the sensing Resource corresponding to the sensing Resource description model DMSR;
the perception cloud application module is specifically configured to establish a perception application description model library, where a perception application description model in the perception application description model library is as follows:
DMSA＝(Task，Requirement)
the Task refers to detecting a sensing Task, and the Requirement refers to detecting a service Requirement of the sensing Task, wherein the service Requirement in the sensing application description model corresponds to a service Type in the sensing service description model.
2.A service-oriented, perceived cloud method, comprising:
matching corresponding perception application description models in a perception application description model library according to task types of detection perception tasks in a user request;
Matching a corresponding perception service description model in a perception service description model library according to service requirements in the perception application description model, and calling corresponding sensor resources according to the perception service description model;
The method comprises the steps of mapping sensor resources into virtual sensing resources in advance, establishing a sensing resource description model, and aggregating to form a virtual sensing resource pool; carrying out service encapsulation on the virtual perceived resources, and establishing a perceived service description model library, wherein a perceived service description model in the perceived service description model library comprises a service type and perceived resources corresponding to the service type; establishing a perception application description model library, wherein a perception application description model in the perception application description model library comprises a task type and a service requirement corresponding to the task type;
The perceived resource description model is as follows:
DMSR＝(ID，State，Location，Capability)
wherein ID refers to a perceived resource identifier, state refers to the current State of perceived resources, location refers to the geographic position of a perceived resource entity, and Capability refers to the perceived Capability of perceived resources;
the perception service description model in the perception service description model library is as follows:
DMSS＝(Type，Resource)
Wherein, the Type refers to the service Type, the Resource refers to the sensor Resource required in the detection sensing process, and the sensor Resource is composed of the sensing Resource corresponding to the sensing Resource description model DMSR;
The perception application description model in the perception application description model library is as follows:
DMSA＝(Task，Requirement)
the Task refers to detecting a sensing Task, and the Requirement refers to detecting a service Requirement of the sensing Task, wherein the service Requirement in the sensing application description model corresponds to a service Type in the sensing service description model.
3. A computer-readable storage medium comprising instructions that, when executed on a computer, cause the computer to perform the service-oriented, perceived cloud method of claim 1.
4. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the service oriented aware cloud method of claim 1 when the program is executed by the processor.
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| 制造云构建关键技术研究;张霖;罗永亮;陶飞;任磊;郭华;;计算机集成制造系统(11);全文 * |
| 基于资源云端化的服务调度本体描述模型;李长仪;刘婷婷;张军;付军;;制造技术与机床;20150202(02);全文 * |
| 面向云制造服务的语义X列表知识表达与推理体系;李从东;谢天;汤勇力;李浩民;;计算机集成制造系统(07);全文 * |
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