CN114629821A - Internet of things usage data generation method, device, equipment and medium - Google Patents

Internet of things usage data generation method, device, equipment and medium Download PDF

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Publication number
CN114629821A
CN114629821A CN202011451461.2A CN202011451461A CN114629821A CN 114629821 A CN114629821 A CN 114629821A CN 202011451461 A CN202011451461 A CN 202011451461A CN 114629821 A CN114629821 A CN 114629821A
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Prior art keywords
data
usage data
usage
performance
internet
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CN202011451461.2A
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CN114629821B (en
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张敏
高庆
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Xinzhi Cloud Data Service Co ltd
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Xinzhi Cloud Data Service Co ltd
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L43/00—Arrangements for monitoring or testing data switching networks
    • H04L43/08—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
    • H04L43/0805—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters by checking availability
    • H04L43/0817—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters by checking availability by checking functioning
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
    • G16Y10/00—Economic sectors
    • G16Y10/75—Information technology; Communication
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
    • G16Y40/00—IoT characterised by the purpose of the information processing
    • G16Y40/10—Detection; Monitoring
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L43/00—Arrangements for monitoring or testing data switching networks
    • H04L43/06—Generation of reports
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L43/00—Arrangements for monitoring or testing data switching networks
    • H04L43/08—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L43/00—Arrangements for monitoring or testing data switching networks
    • H04L43/08—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
    • H04L43/0876—Network utilisation, e.g. volume of load or congestion level
    • 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

Abstract

The embodiment of the invention discloses a method, a device, equipment and a medium for generating usage data of an Internet of things. The method comprises the following steps: acquiring performance related data; generating usage data based on the performance-related data; and transmitting the usage data to a target service platform. The embodiment generates usage data using the acquired performance-related data. And then transmitting the usage data to the target service platform. The generated usage data provides convenience for knowing the usage situation of each task in the application. The usage data is transmitted to the target service platform, so that the user can inquire, know and utilize the usage data, the reasonable distribution of the resource usage is facilitated, and the resource utilization rate is improved.

Description

Internet of things usage data generation method, device, equipment and medium
Technical Field
The embodiment of the invention relates to the technical field of computers, in particular to a method, a device, equipment and a medium for generating usage data of an internet of things.
Background
The internet of things is that any object or process needing monitoring, connection and interaction is collected in real time through various devices and technologies such as various information sensors, radio frequency identification technologies, global positioning systems, infrared sensors, laser scanners and the like, various required information such as sound, light, heat, electricity, mechanics, chemistry, biology, positions and the like is collected, ubiquitous connection of objects and objects, and ubiquitous connection of objects and people are realized through various possible network accesses, and intelligent sensing, identification and management of the objects and the processes are realized. The internet of things is an information bearer based on the internet, a traditional telecommunication network and the like, and all common physical objects which can be independently addressed form an interconnected network. The existing internet of things is lack of collection and analysis of usage information and is not beneficial to reasonable distribution of resource usage.
Disclosure of Invention
This summary is provided to introduce a selection of concepts in a simplified form that are further described below in the detailed description. This summary of the disclosure is not intended to identify key features or essential features of the claimed subject matter, nor is it intended to be used to limit the scope of the claimed subject matter.
The embodiment of the invention provides a method, a device, equipment and a medium for generating usage data of an internet of things, and aims to solve the technical problems mentioned in the background technology.
In a first aspect, an embodiment of the present disclosure provides a method for generating usage data of an internet of things, where the method includes: acquiring performance related data; generating usage data based on the performance-related data; and transmitting the usage data to a target service platform.
In a second aspect, an embodiment of the present disclosure provides an internet of things usage data generating device, where the device includes: an acquisition unit configured to acquire performance-related data; a generation unit configured to generate usage data based on the performance-related data; a transmission unit configured to transmit the usage data to a target service platform.
In a third aspect, an embodiment of the present disclosure provides an electronic device, including: one or more processors; a storage device having one or more programs stored thereon which, when executed by one or more processors, cause the one or more processors to implement the method as described in the first aspect.
In a fourth aspect, embodiments of the present disclosure provide a computer readable medium having a computer program stored thereon, wherein the program, when executed by a processor, implements the method as described in the first aspect.
One of the above embodiments disclosed by the invention has the following beneficial effects: and generating usage data by using the acquired performance related data. And then transmitting the usage data to the target service platform. The generated usage data provides convenience for knowing the usage situation of each task in the application. The usage data is transmitted to the target service platform, so that the user can inquire, know and utilize the usage data, the reasonable distribution of the resource usage is facilitated, and the resource utilization rate is improved.
Drawings
The above and other features, advantages and aspects of the disclosed embodiments will become more apparent from the following detailed description when taken in conjunction with the accompanying drawings. Throughout the drawings, the same or similar reference numbers refer to the same or similar elements. It should be understood that the drawings are schematic and that elements and components are not necessarily drawn to scale.
Fig. 1 is a schematic diagram of an application scenario of a usage data generation method for the internet of things according to the disclosed embodiment of the invention;
FIG. 2 is a flow chart of an embodiment of a method for generating usage data for the Internet of things according to the present disclosure;
fig. 3 is a schematic structural diagram of an embodiment of a usage data generation device for the internet of things according to the present disclosure;
FIG. 4 is a schematic block diagram of an electronic device suitable for use in implementing the disclosed embodiments of the invention.
Detailed Description
Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While certain embodiments of the present disclosure are shown in the drawings, it is to be understood that the present disclosure may be embodied in various forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided for a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and examples are for illustrative purposes only and are not intended to limit the scope of the present disclosure.
It should be noted that, for convenience of description, only the portions related to the related invention are shown in the drawings. The embodiments and features of the embodiments disclosed in the present invention may be combined with each other without conflict.
It should be noted that the terms "first", "second", and the like in the present disclosure are only used for distinguishing different devices, modules, or units, and are not used for limiting the order or interdependence of the functions performed by the devices, modules, or units.
It is noted that references to "a", "an", and "the" modifications in the disclosure are exemplary rather than limiting, and that those skilled in the art will understand that "one or more" unless the context clearly dictates otherwise.
The names of messages or information exchanged between devices in the disclosed embodiments are for illustrative purposes only and are not intended to limit the scope of such messages or information.
The present disclosure will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.
Fig. 1 is a schematic diagram of an application scenario of a usage data generation method for an internet of things according to some embodiments of the present disclosure.
In the application scenario of fig. 1, first, the computing device 101 may obtain performance-related data 102. The computing device 101 may then generate usage data 103 based on the performance-related data 102. Finally, the computing device 101 may transmit the usage data 103 to the target service platform 104.
The computing device 101 may be hardware or software. When the computing device is hardware, it may be implemented as a distributed cluster composed of multiple servers or terminal devices, or may be implemented as a single server or a single terminal device. When the computing device is embodied as software, it may be installed in the hardware devices enumerated above. It may be implemented, for example, as multiple software or software modules to provide distributed services, or as a single software or software module. And is not particularly limited herein.
It should be understood that the number of computing devices in FIG. 1 is merely illustrative. There may be any number of computing devices, as implementation needs dictate.
With continued reference to fig. 2, a flow 200 of an embodiment of a method for generating usage data for an internet of things is shown, in accordance with the present disclosure. The method may be performed by the computing device 101 of fig. 1. The method for generating the usage data of the Internet of things comprises the following steps:
in step 201, performance related data is obtained.
In an embodiment, an execution subject (e.g., the computing device 101 shown in fig. 1) of the internet-of-things usage data generation method may obtain the performance-related data in a wired connection manner or a wireless connection manner. The execution subject may also collect performance related data via the monitoring device. Here, the performance-related data includes, but is not limited to, at least one of: the service time of the processor, the utilization rate of the memory and the flow value generated by data transmission.
It should be noted that the wireless connection means may include, but is not limited to, a 3G/4G connection, a WiFi connection, a bluetooth connection, a WiMAX connection, a Zigbee connection, a uwb (ultra wideband) connection, and other wireless connection means now known or developed in the future.
Step 202, generating usage data based on the performance-related data.
In an embodiment, the execution subject may generate the usage data by: firstly, the execution main body can acquire characteristic information of target joint learning application; secondly, the execution main body can analyze the performance related data based on the target joint learning application characteristic information to generate an analysis result; third, the execution body may generate the usage data using a usage converter based on the analysis result. Here, the joint learning application characteristic information may be information on performance characteristics of the joint learning application. The usage data may be data information of resource usage occupied by each task in the task execution process. The usage converter may be used in a system or program that converts performance data into usage data.
And step 203, transmitting the usage data to a target service platform.
In an embodiment, the execution agent may generate an interface for the usage data. Then, the execution agent may transmit the usage data and the interface to the target service platform.
In an optional implementation manner of the embodiment, the method further includes: and displaying the interface to a display of the target service platform. Optionally, the execution body may generate information describing the usage data, so that a user can know the usage data conveniently.
One of the above embodiments disclosed by the invention has the following beneficial effects: and generating usage data by using the acquired performance related data. And then transmitting the usage data to the target service platform. The generated usage data provides convenience for knowing the usage situation of each task in the application. The usage data is transmitted to the target service platform, so that the user can inquire, know and utilize the usage data, the reasonable distribution of the resource usage is facilitated, and the resource utilization rate is improved.
With further reference to fig. 3, as an implementation of the foregoing method for the above-mentioned figures, the present disclosure provides some embodiments of an internet of things usage data generation apparatus, where the embodiments of the apparatus correspond to those of the method described above in fig. 2, and the apparatus may be specifically applied to various electronic devices.
As shown in fig. 3, the internet of things usage data generation apparatus 300 of the embodiment includes: an acquisition unit 301, a generation unit 302 and a transmission unit 303. Wherein the obtaining unit 301 is configured to obtain performance related data; a generating unit 302 configured to generate usage data based on the performance-related data; a transmitting unit 303 configured to transmit the usage data to a target service platform.
In an alternative implementation of the embodiment, the performance-related data includes at least one of: the service time of the processor, the utilization rate of the memory and the flow value generated by data transmission.
In an optional implementation manner of the embodiment, the generation unit 302 of the internet of things usage data generation apparatus 300 is further configured to: acquiring target joint learning application characteristic information; analyzing the performance related data based on the target joint learning application characteristic information to generate an analysis result; based on the analysis results, usage data is generated using a usage converter.
In an optional implementation manner of the embodiment, the transmission unit 303 of the internet of things usage data generating device 300 is further configured to: and generating an interface of the usage data, and transmitting the usage data and the interface to the target service platform.
In an optional implementation manner of the embodiment, the internet of things usage data generating device 300 is further configured to: and displaying the interface to a display of the target service platform.
It will be understood that the units described in the apparatus 300 correspond to the various steps in the method described with reference to fig. 2. Thus, the operations, features and resulting advantages described above with respect to the method are also applicable to the apparatus 300 and the units included therein, and are not described herein again.
Referring now to FIG. 4, a block diagram of an electronic device (e.g., computing device 101 of FIG. 1)400 suitable for use in implementing some embodiments of the present disclosure is shown. The server illustrated in fig. 4 is only an example and should not bring any limitations to the function and scope of use of the disclosed embodiments of the present invention.
As shown in fig. 4, electronic device 400 may include a processing device (e.g., central processing unit, graphics processor, etc.) 401 that may perform various appropriate actions and processes in accordance with a program stored in a Read Only Memory (ROM)402 or a program loaded from a storage device 408 into a Random Access Memory (RAM) 403. In the RAM 403, various programs and data necessary for the operation of the electronic apparatus 400 are also stored. The processing device 401, the ROM 402, and the RAM 403 are connected to each other via a bus 404. An input/output (I/O) interface 405 is also connected to bus 404.
Generally, the following devices may be connected to the I/O interface 405: input devices 406 including, for example, a touch screen, touch pad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc.; an output device 407 including, for example, a Liquid Crystal Display (LCD), a speaker, a vibrator, and the like; storage 408 including, for example, tape, hard disk, etc.; and a communication device 409. The communication means 409 may allow the electronic device 400 to communicate wirelessly or by wire with other devices to exchange data. While fig. 4 illustrates an electronic device 400 having various means, it is to be understood that not all illustrated means are required to be implemented or provided. More or fewer devices may alternatively be implemented or provided. Each block shown in fig. 4 may represent one device or may represent multiple devices as desired.
In particular, according to some embodiments of the present disclosure, the processes described above with reference to the flow diagrams may be implemented as computer software programs. For example, some embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In some such embodiments, the computer program may be downloaded and installed from a network through the communication device 409, or from the storage device 408, or from the ROM 402. Which when executed by the processing means 401, performs the above-described functions defined in the methods of some embodiments of the present disclosure.
It should be noted that the computer readable medium mentioned above in some embodiments of the present disclosure may be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In some embodiments of the disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In some embodiments of the present disclosure, however, a computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, optical cables, RF (radio frequency), etc., or any suitable combination of the foregoing.
In some embodiments, the clients, servers may communicate using any currently known or future developed network Protocol, such as HTTP (HyperText Transfer Protocol), and may interconnect with any form or medium of digital data communication (e.g., a communications network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), the Internet (e.g., the Internet), and peer-to-peer networks (e.g., ad hoc peer-to-peer networks), as well as any currently known or future developed network.
The computer readable medium may be embodied in the apparatus; or may exist separately without being assembled into the electronic device. The computer readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to: acquiring performance related data; generating usage data based on the performance-related data; and transmitting the usage data to a target service platform.
Computer program code for carrying out operations for embodiments of the present disclosure may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + +, and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units described in some embodiments of the present disclosure may be implemented by software or hardware. The described units may also be provided in a processor, and may be described as: a processor includes an acquisition unit, a generation unit, and a transmission unit. The names of these units do not in some cases constitute a limitation on the units themselves, and for example, an acquisition unit may also be described as a "unit that acquires performance-related data".
The functions described herein above may be performed, at least in part, by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: field Programmable Gate Arrays (FPGAs), Application Specific Integrated Circuits (ASICs), Application Specific Standard Products (ASSPs), system on a chip (SOCs), Complex Programmable Logic Devices (CPLDs), and the like.
The foregoing description is only illustrative of the presently preferred embodiments of the disclosure and is provided for the purpose of illustrating the principles of the technology as it is used. It will be appreciated by those skilled in the art that the scope of the invention in the embodiments disclosed in the present application is not limited to the embodiments with specific combinations of the above-mentioned features, but also covers other embodiments with any combination of the above-mentioned features or their equivalents without departing from the inventive concept. For example, the above features and (but not limited to) technical features with similar functions disclosed in the embodiments of the present disclosure are mutually replaced to form the technical solution.

Claims (10)

1. An Internet of things usage data generation method is characterized by comprising the following steps:
acquiring performance related data;
generating usage data based on the performance-related data;
and transmitting the usage data to a target service platform.
2. The method for serving data of the internet of things based on joint learning of claim 1, wherein the performance-related data comprises at least one of the following: the service time of the processor, the utilization rate of the memory and the flow value generated by data transmission.
3. The method for providing internet of things data service based on joint learning of claim 1, wherein the generating usage data based on the performance-related data comprises:
acquiring target joint learning application characteristic information;
analyzing the performance related data based on the target joint learning application characteristic information to generate an analysis result;
based on the analysis results, usage data is generated using a usage converter.
4. The data service method of the internet of things based on joint learning as claimed in one of claims 1-3, wherein the transmitting the usage data to a target service platform comprises:
an interface for generating said usage data,
and transmitting the usage data and the interface to the target service platform.
5. The method for providing internet of things data service based on joint learning of claim 4, wherein the method further comprises:
and displaying the interface to a display of the target service platform.
6. The utility model provides a thing networking quantity data generation device which characterized in that includes:
an acquisition unit configured to acquire performance-related data;
a generation unit configured to generate usage data based on the performance-related data;
a transmission unit configured to transmit the usage data to a target service platform.
7. The device of claim 6, wherein the performance-related data comprises at least one of the following: the service time of the processor, the utilization rate of the memory and the flow value generated by data transmission.
8. The device of claim 6, wherein the generating unit comprises:
a second acquisition unit configured to acquire target joint learning application characteristic information;
an analysis unit configured to analyze the performance-related data based on the target joint learning application characteristic information to generate an analysis result;
a second generation unit configured to generate usage data using a usage converter based on the analysis result.
9. An electronic device, comprising:
one or more processors;
a storage device having one or more programs stored thereon;
when executed by the one or more processors, cause the one or more processors to implement the method of any one of claims 1-5.
10. A computer-readable medium, on which a computer program is stored, wherein the program, when executed by a processor, implements the method of any one of claims 1-5.
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