CN115577228A - Electronic equipment use condition analysis method and device, server and storage medium - Google Patents
Electronic equipment use condition analysis method and device, server and storage medium Download PDFInfo
- Publication number
- CN115577228A CN115577228A CN202211185205.2A CN202211185205A CN115577228A CN 115577228 A CN115577228 A CN 115577228A CN 202211185205 A CN202211185205 A CN 202211185205A CN 115577228 A CN115577228 A CN 115577228A
- Authority
- CN
- China
- Prior art keywords
- data
- product function
- product
- function
- equipment
- Prior art date
- Legal status (The legal status 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 status listed.)
- Pending
Links
- 238000003860 storage Methods 0.000 title claims abstract description 18
- 238000004458 analytical method Methods 0.000 title claims description 23
- 230000006870 function Effects 0.000 claims abstract description 248
- 238000000034 method Methods 0.000 claims abstract description 59
- 230000008569 process Effects 0.000 claims abstract description 30
- 238000007405 data analysis Methods 0.000 claims abstract description 25
- 238000003287 bathing Methods 0.000 claims description 30
- 238000004590 computer program Methods 0.000 claims description 16
- 238000012545 processing Methods 0.000 claims description 16
- 238000001914 filtration Methods 0.000 claims description 5
- 238000004140 cleaning Methods 0.000 claims description 4
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 13
- 238000004891 communication Methods 0.000 description 8
- 238000005406 washing Methods 0.000 description 6
- 238000010586 diagram Methods 0.000 description 5
- 230000003287 optical effect Effects 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 2
- 230000003993 interaction Effects 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 238000003491 array Methods 0.000 description 1
- 238000013473 artificial intelligence Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000001413 cellular effect Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 239000011521 glass Substances 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 239000004973 liquid crystal related substance Substances 0.000 description 1
- 238000010801 machine learning Methods 0.000 description 1
- 238000007726 management method Methods 0.000 description 1
- 239000013307 optical fiber Substances 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 238000010223 real-time analysis Methods 0.000 description 1
- 239000004065 semiconductor Substances 0.000 description 1
- 230000001953 sensory effect Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/18—Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Data Mining & Analysis (AREA)
- General Physics & Mathematics (AREA)
- Mathematical Optimization (AREA)
- Pure & Applied Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Mathematical Physics (AREA)
- Computational Mathematics (AREA)
- Mathematical Analysis (AREA)
- Life Sciences & Earth Sciences (AREA)
- Operations Research (AREA)
- Probability & Statistics with Applications (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Algebra (AREA)
- Evolutionary Biology (AREA)
- Databases & Information Systems (AREA)
- Software Systems (AREA)
- General Engineering & Computer Science (AREA)
- Bioinformatics & Computational Biology (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a method, a device, a server and a storage medium for analyzing the use condition of electronic equipment, wherein the method comprises the following steps: determining equipment data according to reported data acquired in the running process of the electronic equipment, wherein the equipment data comprises functional data; mutually corresponding the function data and the product functions of the electronic equipment based on a preset protocol to determine the product function data corresponding to each product function; and performing time-dimension data analysis on each product function data to determine the use condition of the product function corresponding to each product function data. According to the technical scheme, the service conditions of the product functions of the electronic equipment are determined in real time, and the reliability of the equipment data determined according to the reported data is high, so that the reliability of the determined service conditions of the product functions of the electronic equipment is also high, and the reliable service conditions of the electronic equipment are determined in real time.
Description
Technical Field
The present invention relates to the field of computer technologies, and in particular, to a method and an apparatus for analyzing a usage status of an electronic device, a server, and a storage medium.
Background
With the development of science and technology, at present, intelligent household appliances advance into the lives of people, and further bring convenience to the lives of people. The intelligent household appliances comprise intelligent bathing equipment, intelligent washing equipment, an intelligent range hood and the like. In order to improve user experience, the service conditions of the intelligent household appliances need to be counted and analyzed so as to intelligently start the intelligent household appliances.
In the prior art, the use data of the intelligent household appliance input by the user can be acquired based on the terminal device, and the use data is analyzed to determine the use condition of the user on the intelligent household appliance.
Of course, the reliability of the use data of the intelligent household appliance input by the user is not high, and the real-time performance is poor, so that the deviation of the use condition of the intelligent household appliance corresponding to the user is determined according to the use data of the intelligent household appliance input by the user.
Disclosure of Invention
The invention provides a method and a device for analyzing the use condition of electronic equipment, a server and a storage medium, which are used for determining the reliable use condition of the electronic equipment in real time.
According to an aspect of the present invention, there is provided an electronic device usage analysis method, including:
determining equipment data according to reported data acquired in the running process of the electronic equipment, wherein the equipment data comprises functional data;
mutually corresponding the function data and the product functions of the electronic equipment based on a preset protocol to determine the product function data corresponding to each product function;
and performing time-dimension data analysis on each product function data to determine the use condition of the product function corresponding to each product function data.
Further, determining device data according to the reported data acquired in the operation process of the electronic device includes:
acquiring the reported data in the running process of the electronic equipment, wherein the reported data comprises time data, data updating date, data reporting type, equipment identification and functional data;
and performing data cleaning and/or data filtering on the reported data to obtain the equipment data.
Further, mutually corresponding the function data and product functions of the electronic device based on a preset protocol to determine the product function data corresponding to each product function, including:
and determining function data changing along with the product function operation as the product function data corresponding to the product function based on a preset protocol.
Further, the product function data comprises product function switch data and/or product function use time.
Further, performing data analysis of a time dimension on each product function data to determine a use condition of the product function corresponding to each product function data, including:
determining at least one of a use duration, a use period, and a number of uses of the product function based on the product function switch data and/or the product function use time.
Further, the product function data further includes product function usage data, and when the electronic device is a bathing device, the product function usage data includes flow data and/or temperature data corresponding to each bathing mode.
Further, still include:
and performing data analysis on the product function use data to determine the equipment value condition when the product function runs.
According to another aspect of the present invention, there is provided an electronic device usage analysis apparatus, including:
the device comprises a determining module, a processing module and a processing module, wherein the determining module is used for determining device data according to reported data acquired in the operation process of the electronic device, and the device data comprises functional data;
the corresponding module is used for mutually corresponding the functional data and the product functions of the electronic equipment based on a preset protocol so as to determine the product function data corresponding to each product function;
and the analysis module is used for carrying out time-dimension data analysis on the product function data to determine the use condition of the product function corresponding to the product function data.
According to another aspect of the present invention, there is provided a server including:
at least one processor; and a memory communicatively coupled to the at least one processor;
wherein the memory stores a computer program executable by the at least one processor, the computer program being executable by the at least one processor to enable the at least one processor to perform the method for analyzing usage of an electronic device according to any of the embodiments of the present invention.
According to another aspect of the present invention, there is provided a computer-readable storage medium storing computer instructions for causing a processor to implement the method for analyzing usage of an electronic device according to any one of the embodiments of the present invention when the computer instructions are executed.
The technical scheme of the embodiment provides an electronic equipment use condition analysis method, which comprises the following steps: determining equipment data according to reported data acquired in the running process of the electronic equipment, wherein the equipment data comprises functional data; mutually corresponding the function data and the product functions of the electronic equipment based on a preset protocol to determine the product function data corresponding to each product function; and performing time-dimension data analysis on each product function data to determine the use condition of the product function corresponding to each product function data. According to the technical scheme, the server can firstly perform data processing on data uploaded in the operation process of the electronic equipment to obtain equipment data, secondly can split functional data contained in the equipment data based on a preset protocol to determine product functional data corresponding to each product function of the electronic equipment, and further can perform data analysis on the product functional data corresponding to each product function based on a time dimension to determine the use condition of each product function, for example, the use duration, the use time period, the use times and the like are determined, so that the use condition of each product function of the electronic equipment is determined in real time.
It should be understood that the statements in this section are not intended to identify key or critical features of the embodiments of the present invention, nor are they intended to limit the scope of the invention. Other features of the present invention will become apparent from the following description.
Drawings
In order to more clearly illustrate the technical solution of the present invention, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a flowchart of a method for analyzing a usage of an electronic device according to a first embodiment of the present disclosure;
fig. 2 is a flowchart of a method for analyzing a usage of an electronic device according to a second embodiment;
fig. 3 is a schematic structural diagram of an apparatus for analyzing a usage of an electronic device according to a third embodiment;
fig. 4 is a schematic structural diagram of a server according to the fourth embodiment.
Detailed Description
In order to make those skilled in the art better understand the technical solution of the present invention, the technical solution in the present embodiment will be clearly and completely described below with reference to the drawings in the present embodiment, and it is obvious that the described embodiment is only a part of the embodiments of the present invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Example one
Fig. 1 is a flowchart of a method for analyzing a usage of an electronic device according to an embodiment of the present invention, where the embodiment is applicable to a situation where a reliable usage of the electronic device needs to be determined in real time, the method may be executed by an electronic device usage analysis apparatus, the electronic device usage analysis apparatus may be implemented in a hardware and/or software manner, the electronic device usage analysis apparatus may be configured in an electronic device, and the electronic device may be an intelligent household appliance such as an intelligent bathing device, an intelligent washing device, an intelligent range hood, or the like. As shown in fig. 1, the method includes:
and S110, determining equipment data according to the reported data acquired in the running process of the electronic equipment.
Wherein the device data comprises functional data.
The electronic equipment can be an intelligent household appliance, for example, intelligent bathing equipment, intelligent washing equipment, an intelligent range hood and the like. During the operation process of the electronic device, the electronic device may send data to the server, and of course, may send device data, for example, may send function data, where the function data may be function data corresponding to a function of a product.
Correspondingly, the server may obtain the reported data sent by the electronic device to the server in the operation process of the electronic device, and obtain the device data from the reported data, for example, may perform data processing on the reported data to obtain the device data.
In this embodiment, the functional data obtained by the server in the operation process of the electronic device provides a data basis for the subsequent real-time analysis of the use condition of each product function of the electronic device.
S120, the function data and the product functions of the electronic equipment are mutually corresponding based on a preset protocol, so that the product function data corresponding to each product function are determined.
The preset protocol can be an operation protocol of each product function of the electronic equipment, and the electronic product can operate based on the operation protocol of the product function when operating based on the product function.
The function data is a product function standard field, that is, the function data can correspond to the product function. However, the function data acquired from the electronic device is function data corresponding to all product functions of the electronic device, and in order to analyze the use condition of each product function, the function data needs to be split based on the operation protocol of each product function to determine the product function data corresponding to each product function.
Specifically, after the server acquires the functional data, the functional data may be split based on the operation protocol corresponding to each product function, so as to determine the product function data corresponding to each product function.
In this embodiment, the functional data is split by the operation protocol corresponding to each product function, and the product function data corresponding to each product function is determined, and the product function data corresponding to each product function is used for analyzing the use condition of each product.
S130, performing time-dimension data analysis on the product function data to determine the use condition of the product function corresponding to the product function data.
When the electronic equipment is a bath equipment, the product function may be a washing mode corresponding to the bath equipment, for example, a regular bathing mode, a constant temperature bathing mode, a child bathing mode, a sauna bathing mode, and the like, and the product function data may be switch data and bathing time data corresponding to each bathing mode. Therefore, the time and temperature data analysis can be performed on the switch data and the bathing time data corresponding to each bathing mode to determine the use duration, the use period, the use times, the maximum use duration, the minimum use duration, the average use duration, the common use duration and the like of each bathing mode.
In this embodiment, the service conditions of the product functions are determined by analyzing the product function data, the service conditions of the product functions of the electronic device are analyzed, and a data basis is provided for product function optimization of the electronic device.
The method for analyzing the use condition of the electronic equipment provided by the embodiment comprises the following steps: determining equipment data according to reported data acquired in the running process of the electronic equipment, wherein the equipment data comprises functional data; mutually corresponding the function data and the product functions of the electronic equipment based on a preset protocol to determine the product function data corresponding to each product function; and performing time-dimension data analysis on each product function data to determine the use condition of the product function corresponding to each product function data. According to the technical scheme, the server can firstly perform data processing on data uploaded in the operation process of the electronic equipment to obtain equipment data, secondly can split functional data contained in the equipment data based on a preset protocol to determine product functional data corresponding to each product function of the electronic equipment, and further can perform data analysis on the product functional data corresponding to each product function based on a time dimension to determine the use condition of each product function, for example, the use duration, the use time period, the use times and the like are determined, so that the use condition of each product function of the electronic equipment is determined in real time.
Example two
Fig. 2 is a flowchart of a method for analyzing a usage of an electronic device according to a second embodiment, which is embodied on the basis of the first embodiment. As shown in fig. 2, in this embodiment, the method may further include:
s210, determining equipment data according to the reported data acquired in the running process of the electronic equipment.
The reporting data comprises time data, data updating date, data reporting type, equipment identification and functional data, and the equipment data comprises equipment identification, time data and functional data.
In one embodiment, S210 may specifically include:
acquiring the reported data in the running process of the electronic equipment, wherein the reported data comprises time data, data updating date, data reporting type, equipment identification and functional data; and performing data cleaning and/or data filtering on the reported data to obtain the equipment data.
Specifically, the electronic device may report data generated in the operation process or data acquired by the electronic device to the server in the operation process. For example, the reported data may include time data, data update date, data reporting type, device identifier, and function data, and when the electronic device is a bathing device, the reported data may further include power consumption data, gas consumption data, water consumption data, rated power, operating power, target temperature, current water flow, accumulated gas consumption, accumulated water consumption, and the like. Therefore, the server needs to perform data processing on the reported data to obtain the device data. For example, the server may perform data cleansing and/or data filtering on the reported data to obtain the device identifier, the time data, and the function data.
In practical application, the server may obtain the reported data of the plurality of electronic devices simultaneously during the operation of the plurality of electronic devices, and the device identifier may be used to distinguish the reported data of each electronic device.
The time data may indicate the reporting time of the reported data, that is, the time when the server acquires the functional data, so that the use condition of each product function of the electronic device determined according to the functional data is the use condition of the reporting time corresponding to the time data. If the use condition of each product function of the electronic equipment at other time needs to be determined, the reported data can be acquired at other time.
In this embodiment, the server obtains device data including time data, a device identifier, and functional data by performing data processing on data reported by the electronic device during an operation process.
S220, mutually corresponding the function data and the product functions of the electronic equipment based on a preset protocol so as to determine the product function data corresponding to each product function.
In one embodiment, S220 may specifically include:
and determining function data changing along with the product function operation as the product function data corresponding to the product function based on a preset protocol.
The product function of the electronic device may be a plurality of operation modes corresponding to the electronic device, for example, when the electronic device is a bath device, the product function may be a washing mode corresponding to the bath device, for example, a regular bathing mode, a constant temperature bathing mode, a child bathing mode, a sauna bathing mode, and the like.
Specifically, after the server acquires the function data corresponding to all product functions from the electronic device, the function data corresponding to all product functions may be split based on a preset protocol to determine the product function data corresponding to each product function. For example, product function data corresponding to a fixed-temperature bathing mode, product function data corresponding to a child bathing mode, and product function data corresponding to a sauna bathing mode may be determined.
In this embodiment, the product function data used for analyzing the use condition of each product is determined, and a data basis is also provided for analyzing the use condition of each product function in real time.
And S230, performing time-dimension data analysis on the product function data to determine the service condition of the product function corresponding to the product function data.
Wherein the product function data comprises product function switch data and/or product function service time.
In one embodiment, S230 may specifically include:
determining at least one of a use duration, a use period and a use number of the product function based on the product function switching data and/or the product function use time.
Specifically, whether the product function is used, the number of times of use, the use duration, the average use duration, the maximum use duration, the minimum use duration, the use period, the common use period, and the like can be determined according to the product function switch data. Whether the product function is used, the use times, the use duration, the average use duration, the maximum use duration, the minimum use duration, the use time period, the common use time period and the like can also be determined according to the use time of the product function.
In this embodiment, the service conditions of the functions of the products are determined by analyzing the functional data of the products.
In addition, the product function data also comprises product function use data, and when the electronic equipment is bathing equipment, the product function use data comprises flow data and/or temperature data corresponding to each bathing mode.
S240, performing data analysis on the product function use data to determine the equipment numerical condition when the product function runs.
Specifically, the water consumption, the average water consumption, the maximum water consumption, the minimum water consumption, the water consumption time period, the common water consumption time period and the like of the bathing mode corresponding to the product function can be determined according to the flow data. And the average water temperature, the maximum water temperature, the minimum water temperature and the like of the bathing mode operation corresponding to the product function can be determined according to the temperature data.
In the embodiment of the invention, the equipment value condition of each product function in operation is determined by analyzing the product function use data.
The method for analyzing the use condition of the electronic equipment provided by the embodiment comprises the following steps: determining equipment data according to reported data acquired in the running process of the electronic equipment; mutually corresponding the function data and the product functions of the electronic equipment based on a preset protocol to determine the product function data corresponding to each product function; performing time-dimension data analysis on each product function data to determine the use condition of the product function corresponding to each product function data; and performing data analysis on the product function use data to determine the equipment value condition when the product function runs. According to the technical scheme, the server can firstly perform data processing on data uploaded in the operation process of the electronic equipment to obtain equipment data containing equipment identification, time data and function data, secondly can split the function data contained in the equipment data based on a preset protocol to determine product function data corresponding to each product function of the electronic equipment corresponding to the equipment identification, further can perform data analysis on the product function data corresponding to each product function based on a time dimension to determine the use condition of each product function at the reporting time corresponding to the time data, such as determining the use duration, the use period, the use times and the like, and can also perform data analysis on the product function use data to determine the equipment numerical condition when the product function operates, such as determining the water consumption and the use condition when the product function operates to achieve real-time determination of the use condition of each product function of the electronic equipment, and can update the use condition according to the reporting time of the reported data, namely the time data contained in the equipment data, and in addition, the reliability of the equipment data determined according to the reported data is higher, so that the reliability of the use condition of each product function of the electronic equipment is higher, and the reliability of the determined in real-time is achieved.
EXAMPLE III
Fig. 3 is a schematic structural diagram of a device for analyzing a usage of an electronic device according to a third embodiment of the present invention, where the device is suitable for a situation that a reliable usage of the electronic device needs to be determined in real time. The device can be realized by software and/or hardware and is generally integrated in electronic equipment, such as intelligent bath equipment, intelligent washing equipment, intelligent range hood and other intelligent household appliances.
As shown in fig. 3, the apparatus includes:
a determining module 310, configured to determine device data according to reported data obtained in an operation process of an electronic device, where the device data includes functional data;
a corresponding module 320, configured to correspond the function data to product functions of the electronic device based on a preset protocol, so as to determine the product function data corresponding to each of the product functions;
an analyzing module 330, configured to perform data analysis on time dimension on each product function data to determine a use condition of the product function corresponding to each product function data.
The electronic device use condition analysis apparatus provided in this embodiment determines device data according to reported data acquired during an operation process of an electronic device, where the device data includes functional data; mutually corresponding the function data and the product functions of the electronic equipment based on a preset protocol to determine the product function data corresponding to each product function; and performing time-dimension data analysis on each product function data to determine the use condition of the product function corresponding to each product function data. According to the technical scheme, the server can firstly perform data processing on data uploaded in the operation process of the electronic equipment to obtain equipment data, secondly can split functional data contained in the equipment data based on a preset protocol to determine product functional data corresponding to each product function of the electronic equipment, and further can perform data analysis on the product functional data corresponding to each product function based on a time dimension to determine the use condition of each product function, for example, the use duration, the use time period, the use times and the like are determined, so that the use condition of each product function of the electronic equipment is determined in real time.
Optionally, the determining module 310 is specifically configured to:
acquiring the reported data in the running process of the electronic equipment, wherein the reported data comprises time data, data updating date, data reporting type, equipment identification and functional data;
and performing data cleaning and/or data filtering on the reported data to obtain the equipment data.
Optionally, the corresponding module 320 is specifically configured to:
and determining function data changing along with the product function operation as the product function data corresponding to the product function based on a preset protocol.
Optionally, the product function data includes product function switch data and/or product function use time.
Optionally, the analysis module 330 is specifically configured to:
determining at least one of a use duration, a use period, and a number of uses of the product function based on the product function switch data and/or the product function use time.
Optionally, the product function data further includes product function usage data, and when the electronic device is a bathing device, the product function usage data includes flow data and/or temperature data corresponding to each bathing mode.
Optionally, the apparatus further comprises:
and the execution module is used for carrying out data analysis on the product function use data so as to determine the equipment numerical condition when the product function runs.
The electronic device use condition analysis device provided by the embodiment can execute the electronic device use condition analysis method provided by any embodiment of the invention, and has corresponding functional modules and beneficial effects of the execution method.
It should be noted that, in the embodiment of the device for analyzing usage of electronic equipment, the included units and modules are only divided according to functional logic, but are not limited to the above division as long as the corresponding functions can be realized; in addition, the specific names of the functional units are only for the convenience of distinguishing from each other, and are not used for limiting the protection scope of the present invention.
Example four
Fig. 4 is a schematic structural diagram of a server according to the fourth embodiment. Server is intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device may also represent various forms of mobile devices, such as personal digital assistants, cellular phones, smart phones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the inventions described and/or claimed herein.
As shown in fig. 4, the server 10 includes at least one processor 11, and a memory communicatively connected to the at least one processor 11, such as a Read Only Memory (ROM) 12, a Random Access Memory (RAM) 13, and the like, wherein the memory stores a computer program executable by the at least one processor, and the processor 11 can perform various suitable actions and processes according to the computer program stored in the Read Only Memory (ROM) 12 or the computer program loaded from a storage unit 18 into the Random Access Memory (RAM) 13. In the RAM13, various programs and data necessary for the operation of the server 10 can also be stored. The processor 11, the ROM 12, and the RAM13 are connected to each other via a bus 14. An input/output (I/O) interface 15 is also connected to bus 14.
A number of components in the server 10 are connected to the I/O interface 15, including: an input unit 16 such as a keyboard, a mouse, or the like; an output unit 17 such as various types of displays, speakers, and the like; a storage unit 18 such as a magnetic disk, optical disk, or the like; and a communication unit 19 such as a network card, modem, wireless communication transceiver, etc. The communication unit 19 allows the server 10 to exchange information/data with other devices via a computer network such as the internet and/or various telecommunication networks.
The processor 11 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various processors running machine learning model algorithms, a Digital Signal Processor (DSP), and any suitable processor, controller, microcontroller, or the like. The processor 11 performs the various methods and processes described above, such as the electronic device usage analysis method.
In some embodiments, the electronic device usage analysis method may be implemented as a computer program tangibly embodied in a computer-readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program may be loaded and/or installed on the server 10 via the ROM 12 and/or the communication unit 19. When the computer program is loaded into RAM13 and executed by processor 11, one or more steps of the electronic device usage analysis method described above may be performed. Alternatively, in other embodiments, the processor 11 may be configured to perform the electronic device usage analysis method by any other suitable means (e.g., by means of firmware).
Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuitry, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), system on a chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs that are executable and/or interpretable on a programmable system including at least one programmable processor, which may be special or general purpose, receiving data and instructions from, and transmitting data and instructions to, a storage system, at least one input device, and at least one output device.
Computer programs for implementing the electronic device usage analysis methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer programs, when executed by the processor, cause the functions/acts specified in the flowchart and/or block diagram block or blocks to be performed. A computer program can execute entirely on a machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of the present invention, a computer-readable storage medium may be a tangible medium that can contain, or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. A computer readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, the computer readable storage medium may be a machine readable signal medium. More specific examples of a machine-readable storage medium would include an electrical connection based on 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 compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
To provide for interaction with a user, the systems and techniques described here can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) by which a user may provide input to the electronic device. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic, speech, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a back-end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back-end, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), blockchain networks, and the internet.
The computing system may include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also called a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so that the defects of high management difficulty and weak service expansibility in the traditional physical host and VPS service are overcome.
It should be understood that various forms of the flows shown above, reordering, adding or deleting steps, may be used. For example, the steps described in the present invention may be executed in parallel, sequentially, or in different orders, and are not limited herein as long as the desired results of the technical solution of the present invention can be achieved.
The above-described embodiments should not be construed as limiting the scope of the invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions may be made in accordance with design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. An electronic device use condition analysis method, comprising:
determining equipment data according to reported data acquired in the running process of the electronic equipment, wherein the equipment data comprises functional data;
mutually corresponding the function data and the product functions of the electronic equipment based on a preset protocol to determine the product function data corresponding to each product function;
and performing time-dimension data analysis on each product function data to determine the use condition of the product function corresponding to each product function data.
2. The method for analyzing usage of an electronic device according to claim 1, wherein determining device data according to reported data obtained during operation of the electronic device includes:
acquiring the reported data in the running process of the electronic equipment, wherein the reported data comprises time data, data updating date, data reporting type, equipment identification and functional data;
and performing data cleaning and/or data filtering on the reported data to obtain the equipment data.
3. The method for analyzing usage of electronic devices of claim 1, wherein the mutually corresponding the function data and product functions of the electronic devices based on a preset protocol to determine the product function data corresponding to each of the product functions comprises:
and determining function data which changes along with the operation of the product function as the product function data corresponding to the product function based on a preset protocol.
4. The method for analyzing usage of electronic devices of claim 1, wherein the product function data includes product function switch data and/or product function usage time.
5. The method for analyzing the usage of the electronic device according to claim 4, wherein performing data analysis on each product function data in a time dimension to determine the usage of the product function corresponding to each product function data includes:
determining at least one of a use duration, a use period and a use number of the product function based on the product function switching data and/or the product function use time.
6. The method for analyzing usage of electronic equipment according to claim 4, wherein the product function data further comprises product function usage data, and when the electronic equipment is a bathing device, the product function usage data comprises flow data and/or temperature data corresponding to each bathing mode.
7. The method for analyzing usage of an electronic device of claim 6, further comprising:
and performing data analysis on the product function use data to determine the equipment numerical condition when the product function operates.
8. An electronic device use condition analysis apparatus, comprising:
the device comprises a determining module, a processing module and a processing module, wherein the determining module is used for determining device data according to reported data acquired in the operation process of the electronic device, and the device data comprises functional data;
the corresponding module is used for mutually corresponding the function data and the product functions of the electronic equipment based on a preset protocol so as to determine the product function data corresponding to each product function;
and the analysis module is used for carrying out time-dimension data analysis on the product function data to determine the use condition of the product function corresponding to the product function data.
9. A server, characterized in that the server comprises:
at least one processor; and a memory communicatively coupled to the at least one processor;
wherein the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the electronic device usage analysis method of any of claims 1-7.
10. A storage medium containing computer-executable instructions for performing the electronic device usage analysis method of any one of claims 1-7 when executed by a computer processor.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211185205.2A CN115577228A (en) | 2022-09-27 | 2022-09-27 | Electronic equipment use condition analysis method and device, server and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211185205.2A CN115577228A (en) | 2022-09-27 | 2022-09-27 | Electronic equipment use condition analysis method and device, server and storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN115577228A true CN115577228A (en) | 2023-01-06 |
Family
ID=84583415
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202211185205.2A Pending CN115577228A (en) | 2022-09-27 | 2022-09-27 | Electronic equipment use condition analysis method and device, server and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115577228A (en) |
-
2022
- 2022-09-27 CN CN202211185205.2A patent/CN115577228A/en active Pending
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN115204815A (en) | Power grid customer service work order timeout early warning method, device, equipment and storage medium | |
| CN114721345A (en) | Industrial control method, device and system based on reinforcement learning and electronic equipment | |
| CN113742174B (en) | Cloud mobile phone application monitoring method and device, electronic equipment and storage medium | |
| CN112925811B (en) | Method, apparatus, device, storage medium and program product for data processing | |
| CN116623393A (en) | Control method and device of washing equipment, washing equipment and storage medium | |
| CN116545905A (en) | Service health detection method and device, electronic equipment and storage medium | |
| CN115577228A (en) | Electronic equipment use condition analysis method and device, server and storage medium | |
| CN115629903A (en) | Task delay monitoring method, device, equipment and storage medium | |
| CN114885014A (en) | Method, device, equipment and medium for monitoring external field equipment state | |
| CN117737952A (en) | Washing mode determining method, device, server, user terminal and storage medium | |
| CN115499265B (en) | Equipment control method, device, equipment and storage medium of Internet of things | |
| CN114443491A (en) | Automatic testing method and device, electronic equipment and storage medium | |
| CN116013464A (en) | Sleep quality improving method, device, equipment and storage medium | |
| CN116186176A (en) | Data processing method, device, equipment and storage medium | |
| CN115470476A (en) | Authentication renewal method and device, electronic equipment and storage medium | |
| CN117010908A (en) | Information display method and device, electronic equipment and storage medium | |
| CN116795450A (en) | Configuration method, device, equipment and medium of micro-grid edge computing terminal | |
| CN116467136A (en) | Smoothness monitoring method, device and equipment for application program and storage medium | |
| CN115204424A (en) | Intelligent operation and maintenance method, device, equipment and storage medium of cloud native system | |
| CN116843415A (en) | Service order processing method, device, equipment and storage medium | |
| CN118113773A (en) | Service processing method, device, electronic equipment and storage medium | |
| CN114706578A (en) | Data processing method, device, equipment and medium | |
| CN116631581A (en) | Sleep quality improving method, device, equipment and storage medium | |
| CN115981171A (en) | Control method, device, equipment and storage medium of electronic equipment | |
| CN116587295A (en) | Intelligent operation management method based on service robot community state |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |