CN114629821B - Internet of things consumption data generation method, device, equipment and medium - Google Patents
Internet of things consumption data generation method, device, equipment and medium Download PDFInfo
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- CN114629821B CN114629821B CN202011451461.2A CN202011451461A CN114629821B CN 114629821 B CN114629821 B CN 114629821B CN 202011451461 A CN202011451461 A CN 202011451461A CN 114629821 B CN114629821 B CN 114629821B
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- 230000005540 biological transmission Effects 0.000 claims description 10
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- 238000004891 communication Methods 0.000 description 6
- 238000012545 processing Methods 0.000 description 4
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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
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- 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
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- 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
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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
- H04L43/06—Generation of reports
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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
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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
- H04L43/0876—Network utilisation, e.g. volume of load or congestion level
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- 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
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- Information Transfer Between Computers (AREA)
Abstract
The embodiment of the invention discloses a method, a device, equipment and a medium for generating consumption data of the 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 consumption data to a target service platform. This embodiment generates usage data using the acquired performance-related data. And then transmitting the consumption data to the target service platform. The generated usage data provides convenience for knowing the usage condition of each task in the application. And the consumption data is transmitted to the target service platform, so that the user can inquire, know and utilize the consumption data, the reasonable distribution of the consumption of the resources is facilitated, and the utilization rate of the resources is improved.
Description
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 consumption data of the Internet of things.
Background
The internet of things refers to collecting any object or process needing to be monitored, connected and interacted in real time through various devices and technologies such as various information sensors, radio frequency identification technologies, global positioning systems, infrared sensors and laser scanners, collecting various needed information such as sound, light, heat, electricity, mechanics, chemistry, biology and positions, and realizing ubiquitous connection of objects and people through various possible network access, and realizing intelligent sensing, identification and management of objects and processes. The internet of things is an information carrier based on the internet, a traditional telecommunication network and the like, and enables all common physical objects which can be independently addressed to form an interconnection network. The existing internet of things lacks in receiving and analyzing the usage information, which is not beneficial to reasonable allocation of the resource usage.
Disclosure of Invention
The disclosure of the present invention is intended in part to introduce concepts in a simplified form that are further described below in the detailed description. The disclosure of the present invention 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 discloses a method, a device, equipment and a medium for generating consumption data of the Internet of things, which are used for solving the technical problems mentioned in the background art section.
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 consumption data to a target service platform.
In a second aspect, an embodiment of the present disclosure provides an apparatus for generating usage data of an internet of things, where the apparatus includes: an acquisition unit configured to acquire performance-related data; a generation unit configured to generate usage data based on the performance-related data; and the transmission unit is configured to transmit the usage data to a target service platform.
In a third aspect, embodiments of the present disclosure provide 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 a method as described in the first aspect.
One of the above embodiments of the present disclosure has the following advantageous effects: and generating usage data by using the acquired performance-related data. And then transmitting the consumption data to the target service platform. The generated usage data provides convenience for knowing the usage condition of each task in the application. And the consumption data is transmitted to the target service platform, so that the user can inquire, know and utilize the consumption data, the reasonable distribution of the consumption of the resources is facilitated, and the utilization rate of the resources is improved.
Drawings
The above and other features, advantages and aspects of embodiments of the present disclosure will become more apparent by reference to the following detailed description when taken in conjunction with the accompanying drawings. The same or similar reference numbers will be used throughout the drawings to refer to the same or like elements. It should be understood that the figures are schematic and that elements and components are not necessarily drawn to scale.
Fig. 1 is a schematic diagram of an application scenario of an amount data generation method of the internet of things according to an embodiment of the present disclosure;
FIG. 2 is a flow chart of an embodiment of a method of generating usage data for the Internet of things according to the present disclosure;
fig. 3 is a schematic structural diagram of an embodiment of an amount data generating device for internet of things according to the present disclosure;
fig. 4 is a schematic structural 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 should 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 so that this disclosure will be thorough and complete. It should be understood that the drawings and examples of the present disclosure 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 present invention are shown in the drawings. Embodiments of the present disclosure and features of embodiments may be combined with each other without conflict.
It should be noted that the terms "first," "second," and the like in this disclosure are merely used for distinguishing between different devices, modules, or units and not for limiting the order or interdependence of the functions performed by these devices, modules, or units.
It should be noted that references to "one" or "a plurality" in this disclosure are intended to be illustrative rather than limiting, and those of ordinary skill in the art will appreciate that "one or more" is intended to be interpreted as "one or more" unless the context clearly indicates otherwise.
The names of messages or information interacted between the 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 an amount data generation method of the 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. Computing device 101 may then generate usage data 103 based on 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, the computing device may be implemented as a distributed cluster formed by a plurality of 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 listed above. It may be implemented as a plurality of software or software modules, for example, for providing distributed services, or as a single software or software module. The present invention 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 desired for an implementation.
With continued reference to fig. 2, a flow 200 of an embodiment of an internet of things usage data generation method in accordance with the present disclosure is shown. The method may be performed by the computing device 101 in 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 acquired.
In an embodiment, the execution body of the usage data generation method of the internet of things (such as the computing device 101 shown in fig. 1) may acquire the performance-related data through 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: processor utilization time, processor utilization rate, memory utilization rate, and flow value generated by data transmission.
It should be noted that the wireless connection may include, but is not limited to, 3G/4G connections, wiFi connections, bluetooth connections, wiMAX connections, zigbee connections, UWB (ultra wideband) connections, and other now known or later developed wireless connection means.
And 202, generating usage data based on the performance related data.
In an embodiment, the executing entity may generate the usage data by: the first step, the executing main body can acquire the characteristic information of the target joint learning application; secondly, the execution subject can analyze the performance related data based on the target joint learning application characteristic information to generate an analysis result; third, the execution subject may generate the usage data using the usage converter based on the analysis result. Here, the joint learning application characteristic information may be various items of information about performance characteristics of the joint learning application. The usage data may be data information of usage of resources 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 body may generate the interface of the usage data. The execution body may then transmit the usage data and the interface to the target service platform.
In an alternative implementation of an embodiment, the method further includes: and displaying the interface on a display of the target service platform. Alternatively, the execution body may generate information describing the usage data so that a user can know the usage data.
One of the above embodiments of the present disclosure has the following advantageous effects: and generating usage data by using the acquired performance-related data. And then transmitting the consumption data to the target service platform. The generated usage data provides convenience for knowing the usage condition of each task in the application. And the consumption data is transmitted to the target service platform, so that the user can inquire, know and utilize the consumption data, the reasonable distribution of the consumption of the resources is facilitated, and the utilization rate of the resources is improved.
With further reference to fig. 3, as an implementation of the method described in the foregoing figures, the present disclosure provides some embodiments of an amount data generating apparatus for internet of things, where the embodiments of the apparatus correspond to those of the method embodiments described in fig. 2, and the apparatus may be specifically applied to various electronic devices.
As shown in fig. 3, the usage data generating device 300 of the internet of things according to the embodiment includes: an acquisition unit 301, a generation unit 302, and a transmission unit 303. Wherein the acquisition unit 301 is configured to acquire performance-related data; a generating unit 302 configured to generate usage data based on the performance-related data; and a transmission unit 303 configured to transmit the usage data to a target service platform.
In an alternative implementation of an embodiment, the performance-related data includes at least one of: processor utilization time, processor utilization rate, memory utilization rate, and flow value generated by data transmission.
In an alternative implementation of the embodiment, the generating unit 302 of the internet of things usage data generating device 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 result, usage data is generated using a usage converter.
In an alternative implementation of the embodiment, the transmission unit 303 of the internet of things usage data generation device 300 is further configured to: and generating an interface of the consumption data, and transmitting the consumption data and the interface to the target service platform.
In an alternative implementation of the embodiment, the internet of things usage data generation device 300 is further configured to: and displaying the interface to a display of the target service platform.
It will be appreciated that the elements 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 benefits described above with respect to the method are equally applicable to the apparatus 300 and the units contained therein, and are not described in detail herein.
Referring now to FIG. 4, a schematic diagram of an electronic device 400 (e.g., computing device 101 of FIG. 1) suitable for use in implementing some embodiments of the present disclosure is shown. The server illustrated in fig. 4 is merely an example, and should not be construed as limiting the functionality and scope of use of the disclosed embodiments.
As shown in fig. 4, the electronic device 400 may include a processing means (e.g., a central processing unit, a graphics processor, etc.) 401, which may perform various suitable actions and processes according to a program stored in a Read Only Memory (ROM) 402 or a program loaded from a storage means 408 into a Random Access Memory (RAM) 403. In the RAM 403, various programs and data necessary for the operation of the electronic device 400 are also stored. The processing device 401, the ROM 402, and the RAM 403 are connected to each other by a bus 404. An input/output (I/O) interface 405 is also connected to bus 404.
In general, the following devices may be connected to the I/O interface 405: input devices 406 including, for example, a touch screen, touchpad, 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, magnetic tape, hard disk, etc.; and a communication device 409. The communication means 409 may allow the electronic device 400 to communicate with other devices wirelessly or by wire to exchange data. While fig. 4 shows an electronic device 400 having various means, it is to be understood that not all of the illustrated means are required to be implemented or provided. More or fewer devices may be implemented or provided instead. Each block shown in fig. 4 may represent one device or a plurality of devices as needed.
In particular, according to some embodiments of the present disclosure, the processes described above with reference to flowcharts 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 shown in the flow chart. In such embodiments, the computer program may be downloaded and installed from a network via communications device 409, or from storage 408, or from ROM 402. The above-described functions defined in the methods of some embodiments of the present disclosure are performed when the computer program is executed by the processing means 401.
It should be noted that the computer readable medium according to some embodiments of the present disclosure may be a computer readable signal medium or a computer readable storage medium, or any combination of the above. The computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any 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 present 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, the computer-readable signal medium may comprise a data signal propagated in baseband or as part of a carrier wave, with the computer-readable program code embodied therein. 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 of the foregoing. 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, fiber optic cables, RF (radio frequency), and the like, or any suitable combination of the foregoing.
In some implementations, the clients, servers may communicate using any currently known or future developed network protocol, such as HTTP (HyperText Transfer Protocol ), and may be interconnected with any form or medium of digital data communication (e.g., a communication 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 networks.
The computer readable medium may be embodied in the apparatus; or may exist alone without being incorporated 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 consumption data to a target service platform.
Computer program code for carrying out operations for some 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 kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computer (for example, through the Internet using an Internet service provider).
The flowcharts 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 in software or in hardware. The described units may also be provided in a processor, for example, described as: a processor includes an acquisition unit, a generation unit, and a transmission unit. The names of these units do not constitute a limitation on the unit itself in some cases, and for example, the acquisition unit may also be described as "a unit that acquires performance-related data".
The functions described above herein 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: a Field Programmable Gate Array (FPGA), an Application Specific Integrated Circuit (ASIC), an Application Specific Standard Product (ASSP), a system on a chip (SOC), a Complex Programmable Logic Device (CPLD), and the like.
The above description is only illustrative of the preferred embodiments of the present disclosure and of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the invention in the embodiments disclosed herein is not limited to the specific combination of features described above, but encompasses other technical solutions formed by any combination of features described above or their equivalents without departing from the spirit of the invention. Such as the above-described features, are mutually replaced with the technical features having similar functions (but not limited to) disclosed in the embodiments disclosed in the present invention.
Claims (6)
1. The method for generating the usage data of the Internet of things is characterized by comprising the following steps of:
acquiring performance-related data, the performance-related data comprising at least one of: processor utilization time, processor utilization rate, memory utilization rate, and flow value generated by data transmission;
generating usage data based on the performance-related data;
transmitting the usage data to a target service platform;
the generating usage data based on the performance-related data includes:
acquiring target joint learning application characteristic information; the joint learning application characteristic information is information about performance characteristics of various items of joint learning application;
analyzing the performance related data based on the target joint learning application characteristic information to generate an analysis result;
generating usage data using a usage converter based on the analysis result; the consumption data is data information of the consumption of resources occupied by each task in the task execution process; the usage converter is a system or program for converting performance data into usage data.
2. The internet of things data service method based on joint learning of claim 1, wherein the transmitting the usage data to a target service platform comprises:
an interface for generating the usage data,
and transmitting the consumption data and the interface to the target service platform.
3. The internet of things data service method based on joint learning according to claim 2, wherein the method further comprises:
and displaying the interface to a display of the target service platform.
4. The utility model provides an thing networking quantity data generation device which characterized in that includes:
an acquisition unit configured to acquire performance-related data including at least one of: processor utilization time, processor utilization rate, memory utilization rate, and flow value generated by data transmission;
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;
the generation unit includes:
a second acquisition unit configured to acquire target joint learning application characteristic information; the joint learning application characteristic information is information about performance characteristics of various items of joint learning application;
the analysis unit is 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; the consumption data is data information of the consumption of resources occupied by each task in the task execution process; the usage converter is a system or program for converting performance data into usage data.
5. 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, causes the one or more processors to implement the method of any of claims 1-3.
6. A computer readable medium having stored thereon a computer program, wherein the program when executed by a processor implements the method of any of claims 1-3.
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