WO2018202440A1 - Procédé et appareil de transmission de données - Google Patents

Procédé et appareil de transmission de données Download PDF

Info

Publication number
WO2018202440A1
WO2018202440A1 PCT/EP2018/060140 EP2018060140W WO2018202440A1 WO 2018202440 A1 WO2018202440 A1 WO 2018202440A1 EP 2018060140 W EP2018060140 W EP 2018060140W WO 2018202440 A1 WO2018202440 A1 WO 2018202440A1
Authority
WO
WIPO (PCT)
Prior art keywords
target data
data
generation device
data processing
target
Prior art date
Application number
PCT/EP2018/060140
Other languages
English (en)
Inventor
Wen Jing ZHOU
Xiao Feng Wang
Yong Yuan
Original Assignee
Siemens Aktiengesellschaft
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Siemens Aktiengesellschaft filed Critical Siemens Aktiengesellschaft
Publication of WO2018202440A1 publication Critical patent/WO2018202440A1/fr

Links

Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/2866—Architectures; Arrangements
    • H04L67/2871—Implementation details of single intermediate entities
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H04L67/10—Protocols in which an application is distributed across nodes in the network
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/2866—Architectures; Arrangements
    • H04L67/289—Intermediate processing functionally located close to the data consumer application, e.g. in same machine, in same home or in same sub-network

Definitions

  • the present invention relates to the field of computer technologies, and in particular, to a data transmission method and apparatus.
  • loT Internet of Things
  • the loT can adopt various communication technologies to connect sensors, controllers, and devices together to form connections between things, thereby realizing information-based, remotely managed and controlled, and intelligent networks.
  • loT networks for example, an industrial loT network
  • the control and management of data transmission in the loT networks can be implemented by using a data service system.
  • the loT-based data service system can be divided into a data service layer, a middleware layer, and a resource layer according to different logical functions.
  • the resource layer includes various data generation devices (which may also be referred to as loT devices in the loT) capable of generating data, such as sensors, controllers, and data collection gateways;
  • the data service layer includes at least one data service module, and different data service modules can provide users with different data services, such as remote monitoring of the operation status of a data generation device in the resource layer, management of cutting tools of a machine tool, or monitoring of a procedure in a factory;
  • the middleware layer includes middleware, and the middleware sets a software component for a data requirement of the data service module, for acquiring data of a data source (data generation device) for data required by each data service module and sending the data to the data service module.
  • the middleware ensures data communication between the data generation device and the data service module.
  • the data service system needs to continuously extend data services, that is, adding new data service modules to the data service layer. Because a data requirement of a new service module will also change relative to a data requirement of an existing service module, the middleware layer also correspondingly needs to set new middleware for the new data service module. This requires a developer to redevelop middleware for the new data service module.
  • middleware in a middleware layer cannot be flexibly extended according to an extended data service and has a poor extension capability, and cannot satisfy constantly changing data requirements of data services.
  • embodiments of the present invention provide a data transmission management method and apparatus, to resolve the problem that the extension capability of middleware in a data service system in the prior art is poor and cannot satisfy constantly changing data requirements of data services.
  • an embodiment of the present invention provides a data transmission method, wherein the method is applied to a data service system, wherein the data service system includes a service device, a data transmission apparatus, and multiple data generation devices, and the method includes:
  • data requirement information for a data service including description information about a target data generation device and function description information about a target data processing instance, wherein the target data processing instance is used to process raw data provided by the target data generation device to generate target data satisfying a data requirement of the data service;
  • the data transmission apparatus via the target data processing instance, the raw data provided by the target data generation device, to obtain the target data, and sending the target data to the service device that provides the data service.
  • the data transmission apparatus can quickly and adaptively determine a target data processing instance and a target data generation device according to data service requirement information for the data service, so as to process raw data of the target data generation device to obtain target data satisfying a data requirement of the data service. Therefore, this method has a desirable flexibility and adaptability, and can satisfy constantly changing data requirements of data services.
  • the determining, by the data transmission apparatus, the target data processing model in the multiple preset data processing models according to the function description information about the target data processing instance includes:
  • the data transmission apparatus can accurately determine the target data processing model that satisfies the data requirement of the data service.
  • each of the multiple data processing models is a template for constructing a data processing instance.
  • the data transmission apparatus realizes instantiation of a data processing model to obtain a data processing instance.
  • the instantiating, by the data transmission apparatus, the target data processing model to obtain the target data processing instance includes:
  • the data transmission apparatus can assign a value to the variable according to the function description information about the target data processing instance, so as to obtain the target data processing instance satisfying the data requirement of the data service.
  • the determining, by the data transmission apparatus, the target data generation device in the multiple data generation devices according to the description information about the target data generation device includes: determining, by the data transmission apparatus, an identifier of the target data generation device included in the description information about the target data generation device, and determining, in the multiple data generation devices, the target data generation device corresponding to the identifier of the target data generation device; or
  • the data transmission apparatus can accurately determine the target data generation device that satisfies the data requirement of the data service.
  • the target data generation device satisfies the constraint condition for the target data generation device.
  • this method can ensure that the data transmission apparatus can determine a data source more accurately, and avoid the problem of excessive to-be-processed raw data due to redundant data sources added.
  • the processing, by the data transmission apparatus via the target data processing instance, the raw data provided by the target data generation device, to obtain the target data includes:
  • the data transmission apparatus receiving, by the data transmission apparatus, the raw data sent by the target data generation device, and monitoring the raw data via the target data processing instance, and generating the target data based on detected raw data satisfying a set trigger condition; or deploying, by the data transmission apparatus, the target data processing instance to the target data generation device and receiving the target data sent by the target data generation device, where the target data is obtained by the target data generation device by processing, via the target data processing instance, the raw data provided by the target data generation device.
  • the data transmission apparatus can process, via the target data processing instance, the raw data provided by the target data generation device, to obtain the target data, and send the target data to the service device that provides the data service.
  • an embodiment of the present invention further provides a data transmission apparatus, where the data transmission apparatus is included in a data service system, where the data service system further includes a service device and multiple data generation devices, and the data transmission apparatus includes:
  • an acquisition module configured to acquire data requirement information for a data service, the data requirement information including description information about a target data generation device and function description information about a target data processing instance, wherein the target data processing instance is used to process raw data provided by the target data generation device to generate target data satisfying a data requirement of the data service;
  • a processing module configured to: determine a target data processing model in multiple preset data processing models according to the function description information about the target data processing instance included in the data requirement information acquired by the acquisition module, and instantiate the target data processing model to obtain the target data processing instance; determine the target data generation device in the multiple data generation devices according to the description information about the target data generation device included in the data requirement information acquired by the acquisition module; and process, via the target data processing instance, the raw data provided by the target data generation device, to obtain the target data; and
  • a communication module configured to send the target data obtained by processing by the processing module to the service device providing the data service.
  • the data transmission apparatus can quickly and adaptively determine a target data processing instance and a target data generation device according to data service requirement information for the data service, so as to process raw data of the target data generation device to obtain target data satisfying a data requirement of the data service. Therefore, the data transmission apparatus has a high flexibility and adaptability, and can satisfy constantly changing data requirements of data services.
  • the processing module when determining the target data processing model in the multiple preset data processing models according to the function description information about the target data processing instance, is specifically configured to:
  • the data transmission apparatus can accurately determine the target data processing model that satisfies the data requirement of the data service.
  • each of the multiple data processing models is a template for constructing a data processing instance.
  • the data transmission apparatus realizes instantiation of a data processing model to obtain a data processing instance.
  • the processing module when instantiating the target data processing model to obtain the target data processing instance, is specifically configured to:
  • the data transmission apparatus can assign a value to the variable according to the function description information about the target data processing instance, so as to obtain the target data processing instance satisfying the data requirement of the data service.
  • the processing module is specifically configured to:
  • the target data generation device determines an identifier of the target data generation device included in the description information about the target data generation device, and determine, in the multiple data generation devices, the target data generation device corresponding to the identifier of the target data generation device; or
  • the data transmission apparatus can accurately determine the target data generation device that satisfies the data requirement of the data service.
  • the target data generation device satisfies the constraint condition for the target data generation device.
  • the data transmission apparatus can determine a data source more accurately, and avoid the problem of excessive to-be-processed raw data due to redundant data sources added.
  • the communications module is further configured to receive the raw data sent by the target data generation device.
  • the processing module when processing, via the target data processing instance, the raw data provided by the target data generation device (103), to obtain the target data, the processing module is specifically configured to:
  • monitor via the target data processing instance, the raw data received by the communication module, and generate the target data based on monitored raw data satisfying a set trigger condition;
  • the target data processing instance to the target data generation device by using the communication module, and receive, by using the communication module, the target data sent by the target data generation device, where the target data is obtained by the target data generation device by processing, via the target data processing instance, the raw data provided by the target data generation device.
  • the data transmission apparatus can process, via the target data processing instance, the raw data provided by the target data generation device, to obtain the target data, and send the target data to the service device that provides the data service.
  • an embodiment of the present invention further provides a data transmission apparatus, wherein the apparatus includes:
  • At least one memory configured to store a computer program
  • an embodiment of the present invention further provides a computer readable medium, where the computer readable medium stores computer instructions thereon that, when called by a processor, cause the processor to perform the method provided in the first aspect or any possible implementation method of the first aspect.
  • the data transmission apparatus after acquiring data requirement information for a data service, can determine a target data processing model in multiple preset data processing models according to function description information about a target data processing instance in the data requirement information, so that the target data processing instance can be obtained according to the target data processing model; and the data transmission apparatus can further obtain a target data generation device according to description information about the target data generation device in the data requirement information; and finally, the data transmission apparatus can process, via the target data processing instance, raw data provided by the target data generation device, to obtain target data, and send the target data to a service device that provides the data service.
  • the data transmission apparatus can quickly and adaptively determine a target data processing instance and a target data generation device according to data service requirement information for the data service, so as to process raw data of the target data generation device to obtain target data satisfying the data requirement of the data service. Therefore, the data transmission method provided by the embodiments of the present invention has a desirable flexibility and adaptability, and can satisfy constantly changing data requirements of data services.
  • FIG. 1 is a structural diagram of a data service system according to an embodiment of the present invention
  • FIG. 2 is a flowchart of a data transmission method according to an embodiment of the present application.
  • FIG. 3 is a structural diagram of a data transmission apparatus according to an embodiment of the present application.
  • FIG. 4 is a structural diagram of a data transmission apparatus according to an embodiment of the present application. List of reference numerals:
  • the embodiments of the present invention provide a data transmission method and apparatus, to resolve the problem that the extension capability of middleware in a data service system in the prior art is poor and cannot satisfy constantly changing data requirements of data services. Because the principles of resolving the problem of the method and the apparatus are similar, the implementations of the apparatus and the method can be referred to each other, and repetitions will not be repeated.
  • a data transmission apparatus after acquiring data requirement information for a data service, can determine a target data processing model in multiple preset data processing models according to function description information about a target data processing instance in the data requirement information, so that the target data processing instance can be obtained according to the target data processing model; and the data transmission apparatus can further obtain a target data generation device according to description information about the target data generation device in the data requirement information; and finally, the data transmission apparatus can process raw data provided by the target data generation device via the target data processing instance to obtain target data, and send the target data to a service device that provides the data service.
  • the data transmission apparatus can quickly and adaptively determine a target data processing instance and a target data generation device according to data service requirement information for the data service, so as to process raw data of the target data generation device to obtain target data satisfying a data requirement of the data service. Therefore, the data transmission method provided by the embodiments of the present invention has a desirable flexibility and adaptability, and can satisfy constantly changing data requirements of data services.
  • a data service processes and analyzes data transmitted by a data transmission apparatus so as to provide a user with a service required by the user.
  • the service is, for example, fault alarming, monitoring of the operation status of a motor, and diagnosis and prediction on faults of equipment.
  • the data service can be deployed in a service device.
  • Data requirement information is a semantic description of a data requirement of the data service.
  • the data requirement may be acquiring abnormal working indication data of a motor in a working state in a specified area during abnormal operation.
  • the data requirement includes a requirement for a data source (that is, a target data generation device) and a requirement on processing (that is, a target data processing instance) to be performed on raw data provided by the target data generation device. Therefore, there are at least two items of content in the data requirement information representing the data requirement: description information about the target data generation device and function description information about the target data processing instance.
  • the description data of the target data generation device is used to describe the target data generation device that provides the raw data.
  • the data transmission apparatus can determine the target data generation device by using the description data of the target data generation device.
  • the description information about the target data generation device is a motor in a working state.
  • the description information about the target data generation device may include information that can be used to determine a specific device, such as an identifier, a name, a type, and a to-be-satisfied condition of the target data generation device.
  • a constraint condition is used to define the target data generation device.
  • the data transmission apparatus can determine a data source more accurately by using the constraint condition, and avoid the problem of excessive to-be-processed raw data due to redundant data sources added.
  • the constraint condition may be a motor within a specified area.
  • the constraint condition may be a main drive motor.
  • the function description information about the data processing instance is used to describe a manner in which the data processing instance needs to process the raw data provided by the target data generation device when implementing the data service.
  • the data transmission apparatus can determine a target data processing model in multiple preset data processing models by using the function description information about the target data processing instance, and thereby determine the target data processing instance.
  • the data processing model is a template for constructing a data processing instance, an abstraction of data processing instances having the same data processing function, or an abstract representation of a data processing rule.
  • the data processing device can instantiate the data processing model to obtain a data processing instance.
  • the data processing model may be a filtering model representing performing filtering processing on data, a trigger model representing generating specified data after data satisfies a set trigger condition, or a multiplication model representing performing a multiplication operation on data.
  • a data processing instance is an instance of a data processing model, for processing raw data provided by a device to generate target data.
  • the data processing model is an abstraction of the data processing instance
  • the data processing instance is a concrete representation of the data processing model.
  • the data processing model and the data processing instance are implemented by software, the data processing model may be a class, and the data processing instance may be an object.
  • the data service system includes a service device 101 , a data transmission apparatus 102, and multiple data generation devices 103 (for example, a data generation apparatus a 103, a data generation apparatus b 103, and a data generation apparatus c 103 shown in the figure).
  • the at least one data generation device 103 may generate raw data.
  • the at least one data generation device 103 may include various devices capable of generating raw data, such as thermometers, sensors, and various data collection gateways.
  • the data transmission apparatus 102 is configured to: acquire data requirement information for a data service that needs to be implemented by the service device 101 , and determine a target data generation device (for example, the data generation device b 103 and the data generation device c 103 in the figure) according to description information about the target data generation device in the data requirement information, and determine a target data processing model in multiple preset data processing models according to function description information about a target data processing instance in the data requirement information, so that the target data processing instance for processing raw data provided by the target data generation device can be determined according to the target data processing model, and finally the raw data can be processed based on the target data processing instance, to obtain target data satisfying a data requirement of the data service.
  • a target data generation device for example, the data generation device b 103 and the data generation device c 103 in the figure
  • the service device 101 is configured to acquire the target data and perform analysis and processing on the target data, so as to provide a user with a service required by the user.
  • the service device 101 can provide the user with at least one data service, and the user can extend a new data service in the service device 101 according to a service requirement at any time.
  • the data service system may be divided into a data service layer, a middleware layer, and a resource layer according to logical functions of devices included.
  • the service device 101 is deployed at the data service layer
  • the data transmission apparatus 102 is deployed at the middleware layer
  • at least one data generation device 103 is deployed at the resource layer.
  • the data service system can implement a cloud platform-based data service.
  • the data transmission apparatus 102 can implement basic functions such as infrastructure-as-a-service (laaS) and platform-as-a-service (PaaS) provided by the cloud platform. That is, the data transmission apparatus 102 can implement the above data transmission functions by using an laaS module or a PaaS module.
  • laaS infrastructure-as-a-service
  • PaaS platform-as-a-service
  • the divisions of the service device 101 and the data transmission apparatus 102 in this embodiment of the present invention are schematic, and there may be other division manners in actual implementation.
  • the service device 101 and the data transmission apparatus 102 may be integrated in the same physical device, or may exist separately based on physical devices, which is not limited in this embodiment of the present invention.
  • a data transmission apparatus can determine a target data processing model in multiple preset data processing models according to function description information about a target data processing instance in the data requirement information, so that the target data processing instance can be obtained according to the target data processing model; and the data transmission apparatus can further obtain a target data generation device according to description information about the target data generation device in the data requirement information; and finally, the data transmission apparatus can process, via the target data processing instance, raw data provided by the target data generation device, to obtain target data, and send the target data to a service device that provides the data service.
  • the data transmission apparatus can quickly and adaptively determine a target data processing instance and a target data generation device according to data service requirement information for the data service, so as to process raw data of the target data generation device to obtain target data satisfying a data requirement of the data service. Therefore, the data service system provided by this embodiment of the present invention has a desirable flexibility and adaptability, and can satisfy constantly changing data requirements of data services. In addition, the data service system can also reduce the complexity of maintaining a middleware layer.
  • an embodiment of the present invention provides a data transmission method.
  • the method is applicable to the data service system as shown in FIG. 1.
  • a procedure of the method is described below by using an example in which the data transmission apparatus 102 executes the method.
  • the method shown in FIG. 2 includes the following steps:
  • Step 201 The data transmission apparatus 102 acquires data requirement information for a data service, the data requirement information including description information about the target data generation device 103 and function description information about a target data processing instance, wherein the target data processing instance is used to process raw data provided by the target data generation device 103 to generate target data satisfying a data requirement of the data service.
  • the data transmission apparatus 102 may, but is not limited to, obtain the data requirement information for the data service in the following two manners:
  • the data transmission apparatus 102 receives the data requirement information sent by the service device 101 that provides the data service.
  • the data transmission apparatus 102 acquires the data requirement information for the data service that is set or input by a user.
  • the data requirement information may be carried in a set type of file (for example, a document (doc) file, a text file (txt), a Resource Description Framework (RDF) file, or an Extensible Markup Language (XML) file.
  • the data transmission apparatus 102 can obtain the data requirement information by acquiring the file.
  • the data requirement information is a semantic description of a data requirement of the data service
  • the data requirement information is different in different data service scenarios.
  • the data requirement information is described below by using a scenario 1 and a scenario 2 as examples.
  • Scenario 1 The data service is troubleshooting on a machine according to an abnormal temperature of the machine.
  • temperature data of the machine is collected by a thermometer mounted on the machine.
  • the data requirement information for the data service may be the following content, or semantics contained in the description information about the target data generation device 103 includes the following content: a thermometer mounted on a machine in a working state.
  • the function description information about the target data processing instance included in the data requirement information for the data service may be the following content, or semantics contained in the function description information about the target data processing instance includes the following content: collecting temperature data of a temperature higher than 400 Celsius (°C) and a temperature lower than 50°C.
  • Scenario 2 The data service is fault alarming according to vibration data of a motor.
  • the vibration data of the machine is collected by a vibration sensor mounted on the motor.
  • the description information about the target data generation device 103 may be the following content, or semantics contained in the description information about the target data generation device 103 includes the following content: a sensor mounted on a motor in a working state.
  • the function description information about the target data processing instance may be the following content, or semantics contained in the function description information about the target data processing instance includes the following content: generating an alarm message when the vibration data exceeds a set value.
  • representations of the description information about the target data generation device 103 and the function description information about the target data processing instance in the data requirement information are not limited in this embodiment of the present invention.
  • the representations may be the representations in the above example, or may have other representations, which is not limited in the present application.
  • this embodiment of the present invention does not limit whether the description information about the target data generation device 103 and the function description information about the target data processing instance are the same.
  • the data transmission apparatus may determine one or more target data generation devices 103 in multiple data generation devices 103 by using the description data of the target data generation device 103, and may determine a target data processing model in multiple preset data processing models by using the function description information about the target data processing instance, and thereby determine the target data processing instance according to the target data processing model, so as to perform corresponding processing on raw data provided by the target data generation device 103.
  • Step 202 The data transmission apparatus 102 determines a target data processing model in multiple preset data processing models according to the function description information about the target data processing instance, and instantiate the target data processing model to obtain the target data processing instance.
  • the data processing model is an abstract representation of a data processing rule. Therefore, the data service system may abstract or infer multiple data processing rules, such as filtering processing, trigger processing, multiplication processing, and addition processing according to a commonly used data processing method and a data processing method that may be used by the current data service; and then set multiple data processing models to represent the data processing rules.
  • the data processing model is a filtering model, a trigger model, a multiplication model, an addition model, or the like.
  • the data processing model is an abstract data processing rule, some data processing models have features common to multiple data processing instances, and the data transmission apparatus 102 instantiates the data processing models and can obtain multiple data processing instances. Therefore, the data processing model may contain a variable, so that in the instantiation process of the data processing models, different values may be assigned to the variable according to data requirements, thereby obtaining different data processing instances.
  • some data processing models may also be abstracted according to one data processing instance, and the data transmission apparatus 102 instantiates the data processing models, and can obtain one data processing instance. Therefore, there is no variable in the data processing models, only constants. In this way, in the instantiation process of the data processing models, constants do not need to be assigned, and the generated data processing instances are relatively undiversified.
  • the above filtering model may be set to obtain, by filtering, data satisfying a condition (the condition is a variable and needs to be assigned during instantiation).
  • the filtering model may be set to obtain, by filtering, data satisfying a set condition (the condition is a constant and does not need to be assigned during instantiation).
  • the data transmission apparatus 102 can find corresponding target data processing models in the multiple data processing models according to data requirement information for different data services, and thereby obtain corresponding data processing instances, so as to process raw data provided by respective target data generation devices 103, to obtain target data satisfying data requirements for the different data services.
  • the multiple data processing models are stored in the data transmission apparatus 102, to facilitate the data transmission apparatus to perform management such adding, modification, or deletion on the multiple stored data processing models.
  • the data transmission apparatus 102 may, but is not limited to, determine the target data processing model in the multiple preset data processing models in the following manners:
  • the data transmission apparatus 102 may parse the function description information about the target data processing instance to obtain the function description information about the target data processing model; and determine the target data processing model in the multiple preset data processing models according to the function description information about the target data processing model.
  • the function description information about the target data processing instance in the scenario 1 may be: collecting temperature data of a temperature higher than 400°C and a temperature lower than 50°C.
  • the data transmission apparatus 102 performs semantic parsing on the function description information, and can obtain the function description information about the target data processing model, for example, filtering out temperature data between 50°C and 400°C, or filtering out part of the temperature data.
  • the function description information about the target data processing instance in the scenario 2 may be: generating an alarm message when the vibration data exceeds a set value.
  • the data transmission apparatus 102 performs semantic parsing on the function description information, and can obtain the function description information about the target data processing model, for example, monitoring the vibration data, and triggering to generate fixed data when it is determined that the vibration data satisfies a condition; or monitoring the vibration data, and triggering to generate an alarm message when it is determined that the vibration data is greater than the set value.
  • the data transmission apparatus 102 may match the obtained function description information about the target data processing model with function description information about the multiple preset data processing models, and use a data processing model corresponding to function description information about a data processing model for which matching succeeds as the target data processing model; or the data transmission apparatus 102 may continue performing semantic parsing on the obtained function description information about the target data processing model to obtain label information therein, and then match the obtained label information with label information about the multiple preset data processing models, and use a data processing model corresponding to label information about a data processing model for which matching succeeds as the target data processing model.
  • the data transmission apparatus 102 may determine the target data processing model in the multiple preset data processing models according to the label information in the function description information about the target data processing model, such as "filtering" and "50°C to 400°C". Second manner: The data transmission apparatus 102 determines, in function description information about multiple stored data processing models, function description information about the target data processing model matching the function description information about the target data processing instance, and determines the target data processing model in the multiple preset data processing models according to the function description information about the target data processing model.
  • the data transmission apparatus 102 may, but is not limited to, implement a process of matching the function description information about the data processing model with the function description information about the target data processing instance by using the following method:
  • the data transmission apparatus 102 may separately perform semantic parsing on the function description information about the data processing model and the function description information about the target data processing instance, to determine that both contain the same semantics, or both can implement the same function, or a data processing rule described by the function description information about the data processing model can implement a specific data processing method described by the function description information about the target data processing instance.
  • the function description information about the target data processing instance is: generating an alarm message when the vibration data exceeds a set value; and function description information about a data transmission model is also: triggering to generate a fixed message when data is greater than a particular value.
  • the data transmission apparatus 102 can determine through semantic parsing that the data processing rule described by the data transmission model can implement the specific data processing method described by the target data processing instance, and can therefore determine that the two match.
  • the data transmission apparatus 102 maintains a knowledge base.
  • the knowledge base contains correspondences between function description information about data processing instances and function description information about data processing models. In this way, the data transmission apparatus 102 can match the function description information about the data processing model with the function description information about the target data processing instance according to the correspondences.
  • Third method When there is no variable in a data processing model, that is, the data processing model can be instantiated without concretization, it indicates that the data processing model also represents a specific data processing method. In this case, the data transmission apparatus 102 can determine whether there is a match by determining whether the two types of description information are the same.
  • the function description information about the data processing model and the function description information about the data processing instance are represented in different manners, for example, the function description information about the data processing instance is collecting temperature data of a temperature higher than 400°C and a temperature lower than 50°C; whereas the function description information about the data processing model is collecting temperature data of a temperature ⁇ 50°C, or a temperature ⁇ 400°C.
  • the data transmission apparatus 102 further needs to perform semantic conversion on one of the function description information about the data processing instance or the function description information about the data processing model so that the two are represented in the same manner.
  • each data processing model in the multiple data processing models may be, but is not limited to, a template for constructing a data processing instance.
  • the data transmission apparatus 102 can obtain at least one data processing instance based on data processing model instantiation, so that flexible data processing can be implemented via the data processing instance.
  • the data transmission apparatus 102 can directly instantiate the target data processing model to obtain the target data processing instance. In this case, the target data processing model does not need to be assigned a value.
  • the following processing may be included:
  • the data transmission apparatus 102 may determine a variable that needs to be assigned a value in the target data processing model, then obtain the value of the variable in the function description information about the target data processing instance, and finally, when the target data processing model is instantiated, assign the obtained value of the variable to the variable in the target data processing model, thereby obtaining the target data processing instance.
  • the function description information about the target data processing instance is: collecting temperature data of a temperature higher than 400°C and a temperature lower than 50°C; and the function description information about the target data processing model is: obtaining, by filtering, data satisfying a condition.
  • the data transmission apparatus 102 needs to determine variables in the target data processing model to be "data” and a "condition”; the data transmission apparatus 102 acquires a value of each variable in the function description information about the target data processing instance: the value of the "data” is “temperature data”, and the value of the "condition” is "a temperature higher than 400°C and a temperature lower than 50°C”; the data transmission apparatus 102 assigns the obtained values of the variables to the variables in the target data processing model, to obtain the target data processing instance: obtaining, by filtering, temperature data of a temperature higher than 400°C and a temperature lower than 50°C.
  • the data processing model when the data processing model and the data processing instance are implemented by software, the data processing model may be a class, and the data processing instance may be an object.
  • the data transmission apparatus 102 instantiates the target data processing model, that is, uses the target data processing model to create the target data processing instance.
  • Step 203 The data transmission apparatus 102 determines the target data generation device 103 in the multiple data generation devices 103 according to the description information about the target data generation device 103.
  • the data transmission apparatus 102 may, but is not limited to, perform the above step 203 in the following manners:
  • the data transmission apparatus 102 determines an identifier of the target data generation device 103 included in the description information about the target data generation device 103, and determines, in the multiple data generation devices 103, the target data generation device 103 corresponding to the identifier of the target data generation device 103.
  • the data transmission apparatus 102 determines, in description information about the multiple data generation devices 103, description information about at least one data generation device 103 matching the description information about the target data generation device 103, and uses the at least one data generation device 103 corresponding to the description information about the at least one data generation device 103 as the target data generation device 103.
  • the data transmission apparatus 102 may implement a process of matching description information about any one of data generation devices 103 with the description information about the target data generation device 103 by using the following method:
  • the data transmission apparatus 102 may separately perform semantic parsing on the description information about any one of the data generation devices 103 and the description information about the target data generation device 103, to determine whether devices described in semantics of the two are the same.
  • the data requirement information may additionally carry a constraint condition for the target data generation device 103.
  • the constraint condition for the target data generation device 103 is, for example, a data generation device 103 whose physical location is within a specified area, or a data generation device 103 that is deployed on a main drive motor, or the like.
  • the data requirement information further includes the constraint condition for the target data generation device 103, the target data generation device 103 needs to satisfy the constraint condition.
  • the data transmission apparatus 102 may also store some metadata for describing the multiple data generation devices 103 in the data service system.
  • the metadata of each data generation device 103 includes at least one of the following: a physical location at which each data generation device 103 is located, a machine on which each data generation device 103 is mounted, a type of data that each data generation device 103 is used to collect, and whether each data generation device 103 has a data processing function, and the like.
  • the data transmission apparatus 102 may determine, according to the stored metadata, a target data generation device 103 that satisfies the constraint condition.
  • the data transmission apparatus 102 After the data transmission apparatus 102 determines the target data generation device 103, the data transmission apparatus 102 establishes a communication connection with the target data generation device 103 to ensure data communication with the target data generation device 103 to obtain raw data provided by the target data generation device 103.
  • Step 204 The data transmission apparatus 102 processes, via the target data processing instance, the raw data provided by the target data generation device 103, to obtain the target data, and send the target data to the service device 101 that provides the data service.
  • An implementation may be: when performing step 204, the data transmission apparatus 102 may deploy the target data processing instance in the data transmission apparatus 102 and receive the raw data sent by the target data generation device 103, and perform filtering processing on the raw data via the target data processing instance to generate the target data.
  • Another implementation may be: the data transmission apparatus 102 receives the raw data sent by the target data generation device 103 and monitors the raw data via the target data processing instance, and generates the target data when determining that the raw data satisfies a set trigger condition.
  • the data transmission apparatus 102 may deploy the target data processing instance in the target data generation device 103.
  • the target data generation device 103 may directly process the raw data via the target data processing instance, to obtain the target data, and then send the obtained target data to the data transmission apparatus 102.
  • the data transmission apparatus 103 receives the target data sent by the target data generation device 103, and thereby obtains the target data.
  • a data transmission apparatus can determine a target data processing model in multiple preset data processing models according to function description information about a target data processing instance in the data requirement information, so that the target data processing instance can be obtained according to the target data processing model; and the data transmission apparatus can further obtain a target data generation device according to description information about the target data generation device in the data requirement information; and finally, the data transmission apparatus can process, via the target data processing instance, raw data provided by the target data generation device, to obtain target data, and send the target data to a service device that provides the data service.
  • the data transmission apparatus can quickly and adaptively determine a target data processing instance and a target data generation device according to data service requirement information for the data service, so as to process raw data of the target data generation device to obtain target data satisfying a data requirement of the data service. Therefore, the data transmission method provided by the embodiments of the present invention has a desirable flexibility and adaptability, and can satisfy constantly changing data requirements of data services.
  • an embodiment of the present invention further provides an example of a data transmission method.
  • the example may be implemented based on the data transmission apparatus 102 in the data service system shown in FIG. 1 .
  • the service device 101 in the data service system extends a new data service— detecting a root mean square of vibration data of a main drive motor to monitor the life cycle curve of the motor.
  • a specific implementation process of the data transmission device includes:
  • the service device 101 generates data requirement information for the data service according to a data requirement of the data service.
  • the data requirement information includes: description information about a target data generation device 103: a data collection gateway connected to a vibration sensor mounted on the motor; function description information about a target data processing instance: when the motor operates with a load, collecting vibration data of the motor and calculating a root mean square of the vibration data; and a constraint condition for the target data generation device 103: a main drive motor.
  • the service device 101 sends the generated data requirement information to the data transmission apparatus 102;
  • the data transmission apparatus 102 determines, according to correspondences between function description information about data processing models and function description information about data processing instances stored in the knowledge base, function description information about the target data processing model matching the function description information about the target data processing instance to be "when a motor speed is not zero and a load is not zero, collecting vibration data of the motor and calculating a root mean square of the vibration data", and then can determine the target data processing model according to the function description information about the target data processing model; and determines, according to the description information about the target data generation device 103 and the constraint condition for the target data generation device 103, the target data generation device 103 to be "a data collection gateway connected to a vibration sensor mounted on a main drive motor".
  • the data transmission apparatus 102 instantiates the target data processing model to obtain the target data processing instance— a trigger instance (when a set trigger condition: a motor speed is not zero and a load is not zero, is satisfied, triggering to collect the vibration data of the motor and calculate the root mean square of the vibration data).
  • the data transmission apparatus 102 deploys the target data processing instance in the target data generation device 103.
  • the target data generation device 103 when determining that the trigger condition is satisfied, triggers to collect the vibration data of the motor and calculate the root mean square of the vibration data.
  • the target data generation device 103 After obtaining the root mean square of the vibration data, the target data generation device 103 sends the root mean square of the vibration data to the data transmission apparatus 102. The data transmission apparatus 102 then forwards the root mean square of the vibration data to the service device 101 so that the service device 101 implements the data service.
  • the data transmission apparatus 102 can quickly and adaptively determine a target data processing instance and a target data generation device 103 according to data service requirement information for the data service, so that corresponding processing can be performed on raw data provided by the target data generation device 103, to obtain target data satisfying a data requirement of the data service. Therefore, the data transmission method provided by this embodiment of the present invention has a desirable flexibility and adaptability, and can satisfy constantly changing data requirements of data services.
  • the data transmission apparatus 102 may include: an acquisition module 301 , a processing module 302, and a communication module 303.
  • the obtaining module 301 is configured to acquire data requirement information for a data service, the data requirement information including description information about a target data generation device 103 and function description information about a target data processing instance, wherein the target data processing instance is used to process raw data provided by the target data generation device 103 to generate target data satisfying a data requirement of the data service.
  • the processing module 302 is configured to:
  • a target data processing model in multiple preset data processing models according to the function description information about the target data processing instance included in the data requirement information acquired by the acquisition module 301 , and instantiate the target data processing model to obtain the target data processing instance; determine the target data generation device 103 in the multiple data generation devices 103 according to the description information about the target data generation device 103 included in the data requirement information acquired by the acquisition module 301 ; and
  • the target data processing instance process, via the target data processing instance, the raw data provided by the target data generation device 103, to obtain the target data.
  • the communication module 303 is configured to send the target data obtained by processing by the processing module 302 to the service device 101 providing the data service.
  • the processing module 302 is specifically configured to:
  • each data processing model in the multiple data processing models is a template for constructing a data processing instance.
  • the processing module 302 is specifically configured to:
  • the target data processing model instantiate, according to the function description information about the target data processing instance, the target data processing model to obtain the target data processing instance.
  • the processing module 302 is specifically configured to:
  • the target data generation device 103 determines an identifier of the target data generation device 103 included in the description information about the target data generation device 103, and determine, in the multiple data generation devices 103, the target data generation device 103 corresponding to the identifier of the target data generation device 103; or
  • the target data generation device 103 satisfies the constraint condition for the target data generation device 103.
  • the communication module 303 is further configured to receive the raw data sent by the target data generation device 103;
  • the processing module 302 when processing, via the target data processing instance, the raw data provided by the target data generation device (103), to obtain the target data, the processing module 302 is specifically configured to:
  • the processing module 302 is specifically configured to: deploy the target data processing instance to the target data generation device 103;
  • the target data processing instance to the target data generation device 103 by using the communication module 303, and receive, by using the communication module 303, the target data sent by the target data generation device 103, where the target data is obtained by the target data generation device 103 by processing, via the target data processing instance, the raw data provided by the target data generation device 103.
  • the data transmission apparatus After acquiring data requirement information for a data service, the data transmission apparatus provided by this embodiment of the present invention can determine a target data processing model in multiple preset data processing models according to function description information about a target data processing instance in the data requirement information, so that the target data processing instance can be obtained according to the target data processing model; and the data transmission apparatus can further obtain a target data generation device according to description information about the target data generation device in the data requirement information; and finally, the data transmission apparatus can process, via the target data processing instance, raw data provided by the target data generation device, to obtain target data, and send the target data to a service device that provides the data service.
  • the data transmission apparatus can quickly and adaptively determine a target data processing instance and a target data generation device according to data service requirement information for the data service, so as to process raw data of the target data generation device to obtain target data satisfying a data requirement of the data service. Therefore, the data transmission apparatus provided by this embodiment of the present invention has a desirable flexibility and adaptability, and can satisfy constantly changing data requirements of data services.
  • the division of the modules in the above embodiment of the present invention is schematic, and can be regarded as a division of logical functions, and there may be another division manner in actual implementation.
  • the modules in this embodiment of the present invention may be integrated in one processing module, or the modules may exist separately, or two or more modules may be integrated in one module.
  • the above integrated module may be implemented in the form of hardware, or may be implemented in the form of a software function unit.
  • the data transmission apparatus 102 may include at least one memory 401 , at least one processor 402, and an interface 403.
  • the at least one memory 401 , the at least one processor 402, and the interface 403 are connected to each other via a bus 404;
  • the bus 404 may be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, or the like.
  • PCI Peripheral Component Interconnect
  • EISA Extended Industry Standard Architecture
  • the bus 404 can be divided into an address bus, a data bus, a control bus, and the like.
  • the interface 403 is configured to communicate and interact with other devices (for example, the target data generation device 103 and the service device 101 ) in the data service system.
  • the at least one processor 402 is configured to implement the data transmission method as shown in FIG. 2, including:
  • the data requirement information including description information about a target data generation device 103 and function description information about a target data processing instance, wherein the target data processing instance is used to process raw data provided by the target data generation device 103 to generate target data satisfying a data requirement of the data service;
  • the target data processing instance processing, via the target data processing instance, the raw data provided by the target data generation device 103, to obtain the target data, and sending, through the interface 403, the target data to the service device 101 that provides the data service.
  • the processing module 402 is specifically configured to:
  • the processing module 402 when instantiating the target data processing model to obtain the target data processing instance, is specifically configured to:
  • the target data processing model instantiate, according to the function description information about the target data processing instance, the target data processing model to obtain the target data processing instance.
  • the at least one processor 402 is specifically configured to:
  • the target data generation device 103 determines an identifier of the target data generation device 103 included in the description information about the target data generation device 103, and determine, in the multiple data generation devices 103, the target data generation device 103 corresponding to the identifier of the target data generation device 103; or
  • the at least one processor 402 when processing, via the target data processing instance, the raw data provided by the target data generation device 103, to obtain the target data, is specifically configured to:
  • the target data generation device 103 receives, through the interface 403, the raw data sent by the target data generation device 103, and monitor the raw data via the target data processing instance, and generate the target data when it is determined that the raw data satisfies a set trigger condition; or deploy, through the interface 403, the target data processing instance to the target data generation device 103, and receive, through the interface 403, the target data sent by the target data generation device 103, where the target data is obtained by the target data generation device 103 by processing, via the target data processing instance, the raw data provided by the target data generation device 103.
  • the at least one memory 401 is configured to store a data transmission program.
  • the program may include program code including computer operation instructions.
  • the at least one memory 401 may include at least one Random Access Memory (RAM), and may also include at least one non-volatile memory, such as at least one magnetic disk.
  • the at least one processor 402 calls the data transmission program stored in the at least one memory 401 , and can implement the functions described above, thereby implementing the data transmission method as shown in FIG. 2.
  • the data transmission apparatus After acquiring data requirement information for a data service, the data transmission apparatus provided by this embodiment of the present invention can determine a target data processing model in multiple preset data processing models according to function description information about a target data processing instance in the data requirement information, so that the target data processing instance can be obtained according to the target data processing model; and the data transmission apparatus can further obtain a target data generation device according to description information about the target data generation device in the data requirement information; and finally, the data transmission apparatus can process, via the target data processing instance, raw data provided by the target data generation device, to obtain target data, and send the target data to a service device that provides the data service.
  • the data transmission apparatus can quickly and adaptively determine a target data processing instance and a target data generation device according to data service requirement information for the data service, so as to process raw data of the target data generation device to obtain target data satisfying a data requirement of the data service. Therefore, the data transmission apparatus provided by this embodiment of the present invention has a desirable flexibility and adaptability, and can satisfy constantly changing data requirements of data services.
  • An embodiment of the present invention further provides a computer readable medium on which computer instructions for causing a machine to execute the PaaS-platform management method as described herein are stored.
  • a system or apparatus with a computer readable storage medium may be provided, and software program code for implementing the functions of any one of the embodiments described above are stored on the computer readable storage medium, and a computer (or a Central Processing Unit (CPU) or a Micro Processor Unit (MPU)) of the system or apparatus is caused to read and execute the program codes stored in the storage medium.
  • CPU Central Processing Unit
  • MPU Micro Processor Unit
  • the program codes per se read from the storage medium may implement the functions of any one of the embodiments described above, and therefore the program codes and the storage medium storing the program codes constitute a part of the present invention.
  • Embodiments of the storage medium for providing program code include a floppy disk, a hard disk, a magneto-optical disk, an optical disc (such as a Compact Disc Read-Only Memory (CD-ROM), a Compact Disk-Recordable disc (CD-R), a Compact Disk-ReWritable disc (CD-RW), a Digital Video Disc-Read Only Memory (DVD-ROM), a Digital Versatile Disc- Random Access Memory (DVD-RAM), a Digital Versatile Disc ⁇ Rewritable disc (DVD ⁇ RW), and the like), a magnetic tape, a non-volatile memory card, and a Read-Only Memory
  • CD-ROM Compact Disc Read-Only Memory
  • CD-R Compact Disk-Recordable disc
  • CD-RW Compact Disk-ReWritable disc
  • DVD-ROM Digital Video Disc-Read Only Memory
  • DVD-RAM Digital Versatile Disc- Random Access Memory
  • DVD ⁇ RW Digital Versatile Disc ⁇ Rew
  • the program codes may be downloaded from a server computer via a communication network.
  • the operating system operating on a computer may be caused to accomplish some or all of the actual operations not only by executing the program codes read out by the computer, but also based on an instruction of the program codes, thereby implementing the functions of any one of the embodiments described above.
  • the program codes read out from the storage medium are written into a memory provided in an expansion board inserted into the computer or written into a memory provided in an expansion unit connected to the computer, then a CPU installed on the expansion board or the expansion unit is caused to execute some or all of the actual operations based on an instruction of the program codes, thereby implementing the functions of any one of the embodiments described above.
  • the system structure described in the various embodiments above may be a physical structure and may also be a logical structure, i.e. some modules may be implemented by the same physical entity, or some modules may be implemented separately by at least two physical entities, or may be implemented together by some components in at least two independent devices.
  • a hardware unit may be implemented mechanically or electrically.
  • a hardware unit may include permanently dedicated circuitry or logic (for example, a speical-purpose processor, a Field-Programmable Gate Array (FPGA), or Application Specific Integrated Circuits (ASIC), and the like) to complete corresponding operations.
  • the hardware unit may also comprise a programmable logic or circuit (such as a general-purpose processor or other programmable processors), and may be set temporarily by hardware to accomplish a corresponding operation.
  • the specific implementation method mechanically, or a dedicated permanent circuit, or a temporarily set circuit

Landscapes

  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Health & Medical Sciences (AREA)
  • Computing Systems (AREA)
  • General Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Computer And Data Communications (AREA)

Abstract

La présente invention concerne un procédé et un appareil de transmission de données, permettant de résoudre le problème de la faible capacité d'extension d'un intergiciel dans des systèmes de service de données dans l'art antérieur. Le procédé comprend les étapes suivantes : détermination d'un dispositif de génération de données cibles par un appareil de transmission de données en fonction d'informations relatives aux données nécessaires pour un service de données, et détermination d'un modèle de traitement des données cibles et obtention d'une instance de traitement de données cible en fonction du modèle de traitement de données cibles ; et traitement, via l'instance de traitement de données cible, des données brutes fournies par le dispositif de génération de données cibles pour obtenir des données cibles, et envoi des données cibles à un dispositif de service qui fournit le service de données. En conséquence, lorsque le dispositif de service étend un nouveau service de données, sans ajustement ou extension pour le service de données, les données brutes du dispositif de génération de données cibles peuvent être traitées pour obtenir des données cibles conformes aux données nécessaires au service de données. En conséquence, ce procédé présente une flexibilité et une adaptabilité élevées, et peut répondre aux changements constants en termes de données nécessaires au service de données.
PCT/EP2018/060140 2017-05-03 2018-04-20 Procédé et appareil de transmission de données WO2018202440A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN201710305476.XA CN108810051A (zh) 2017-05-03 2017-05-03 数据传输方法和装置
CN201710305476.X 2017-05-03

Publications (1)

Publication Number Publication Date
WO2018202440A1 true WO2018202440A1 (fr) 2018-11-08

Family

ID=62028019

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/EP2018/060140 WO2018202440A1 (fr) 2017-05-03 2018-04-20 Procédé et appareil de transmission de données

Country Status (2)

Country Link
CN (1) CN108810051A (fr)
WO (1) WO2018202440A1 (fr)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110636016A (zh) * 2019-08-08 2019-12-31 西安万像电子科技有限公司 数据传输方法及系统
CN113572799A (zh) * 2020-04-29 2021-10-29 北京金山云网络技术有限公司 设备接入控制平台的方法、装置和服务器
CN113873037A (zh) * 2021-09-29 2021-12-31 四川长虹网络科技有限责任公司 数据推送方法、装置、计算机设备和存储介质

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110703646B (zh) * 2019-10-10 2021-11-19 上海联之承电子系统集成有限公司 一种自动控制式单片机数据采集控制系统与方法

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20160065653A1 (en) * 2014-08-26 2016-03-03 Fujitsu Limited Internet of things (iot) device configuration construction

Family Cites Families (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103942197B (zh) * 2013-01-17 2018-06-26 阿里巴巴集团控股有限公司 数据监控处理方法及设备
CN104809650B (zh) * 2015-04-08 2018-12-14 武汉大学 一种异构感知数据的动态适配接入方法
CN106453482A (zh) * 2016-08-05 2017-02-22 成都卡德智能科技有限公司 一种物联网中间件系统及物联网系统

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20160065653A1 (en) * 2014-08-26 2016-03-03 Fujitsu Limited Internet of things (iot) device configuration construction

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
MICHAEL VOGLER ET AL: "Optimizing Elastic IoT Application Deployments", IEEE TRANSACTIONS ON SERVICES COMPUTING, 13 October 2016 (2016-10-13), USA, pages 1 - 1, XP055482505, ISSN: 1939-1374, DOI: 10.1109/TSC.2016.2617327 *
NASTIC STEFAN ET AL: "A Middleware Infrastructure for Utility-Based Provisioning of IoT Cloud Systems", 2016 IEEE/ACM SYMPOSIUM ON EDGE COMPUTING (SEC), IEEE, 27 October 2016 (2016-10-27), pages 28 - 40, XP033018394, DOI: 10.1109/SEC.2016.35 *
TORTONESI MAURO ET AL: "SPF: An SDN-based middleware solution to mitigate the IoT information explosion", 2016 IEEE SYMPOSIUM ON COMPUTERS AND COMMUNICATION (ISCC), IEEE, 27 June 2016 (2016-06-27), pages 435 - 442, XP032946292, DOI: 10.1109/ISCC.2016.7543778 *

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110636016A (zh) * 2019-08-08 2019-12-31 西安万像电子科技有限公司 数据传输方法及系统
CN110636016B (zh) * 2019-08-08 2023-09-29 西安万像电子科技有限公司 数据传输方法及系统
CN113572799A (zh) * 2020-04-29 2021-10-29 北京金山云网络技术有限公司 设备接入控制平台的方法、装置和服务器
CN113873037A (zh) * 2021-09-29 2021-12-31 四川长虹网络科技有限责任公司 数据推送方法、装置、计算机设备和存储介质

Also Published As

Publication number Publication date
CN108810051A (zh) 2018-11-13

Similar Documents

Publication Publication Date Title
WO2018202440A1 (fr) Procédé et appareil de transmission de données
CN107704360B (zh) 监控数据的处理方法、设备、服务器及存储介质
RU2636112C1 (ru) Объект службы управления интерфейсом, объект службы функций и способ управления элементами
KR102134547B1 (ko) 리스크 식별 방법, 리스크 식별 장치, 및 클라우드 리스크 식별 장치와 시스템
EP2109323A1 (fr) Analyse de défaillance dynamique pour élément de réseau géré centralement dans un système de télécommunications
US10348570B1 (en) Dynamic, endpoint configuration-based deployment of network infrastructure
CN109189758B (zh) 运维流程设计方法、装置和设备、运行方法、装置和主机
CN112350854A (zh) 一种流量故障定位方法、装置、设备及存储介质
EP2933726A1 (fr) Appareil, système et procédé de traitement de données de journal d'application
US9641595B2 (en) System management apparatus, system management method, and storage medium
CN107360035B (zh) 一种数据处理方法及系统
CN112000504A (zh) 计算节点的故障处理方法及装置、电子设备
CN113934432A (zh) 用于部署机器学习模型的方法、设备和存储介质
CN112817827A (zh) 运维方法、装置、服务器、设备、系统及介质
CN114930290A (zh) 用于管理对资产操作进行管理的应用程序的系统、设备、方法和数据栈
KR20160081321A (ko) It 인프라 품질 감시 시스템 및 방법
US20180060987A1 (en) Identification of abnormal behavior in human activity based on internet of things collected data
CN111506641A (zh) 数据管理方法、数据采集平台、数据管理系统及存储介质
CN111444074A (zh) 一种数据监控方法、装置、电子设备及可读存储介质
CN115237399A (zh) 用于采集数据的方法、存储介质、处理器及工程车辆
CN113141407B (zh) 一种页面资源加载方法、装置和电子设备
CN112882892B (zh) 数据处理方法和装置、电子设备及存储介质
CN109634931B (zh) 一种日志上传方法及装置
EP3756310B1 (fr) Procédé et un premier noeud pour la gestion d'au moins un message test
CN112230891A (zh) 接口文档的集成方法、装置、服务器及计算机存储介质

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 18719156

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 18719156

Country of ref document: EP

Kind code of ref document: A1