CN111046340A - Household appliance use condition evaluation method and device, electronic equipment and storage medium - Google Patents
Household appliance use condition evaluation method and device, electronic equipment and storage medium Download PDFInfo
- Publication number
- CN111046340A CN111046340A CN201911261677.XA CN201911261677A CN111046340A CN 111046340 A CN111046340 A CN 111046340A CN 201911261677 A CN201911261677 A CN 201911261677A CN 111046340 A CN111046340 A CN 111046340A
- Authority
- CN
- China
- Prior art keywords
- household appliance
- component
- time period
- preset time
- components
- 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
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; 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
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/21—Design, administration or maintenance of databases
- G06F16/215—Improving data quality; Data cleansing, e.g. de-duplication, removing invalid entries or correcting typographical errors
-
- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C3/00—Registering or indicating the condition or the working of machines or other apparatus, other than vehicles
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Data Mining & Analysis (AREA)
- Theoretical Computer Science (AREA)
- Databases & Information Systems (AREA)
- Mathematical Analysis (AREA)
- Mathematical Physics (AREA)
- General Engineering & Computer Science (AREA)
- Pure & Applied Mathematics (AREA)
- Mathematical Optimization (AREA)
- Computational Mathematics (AREA)
- Bioinformatics & Computational Biology (AREA)
- Evolutionary Biology (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Operations Research (AREA)
- Probability & Statistics with Applications (AREA)
- Life Sciences & Earth Sciences (AREA)
- Algebra (AREA)
- Quality & Reliability (AREA)
- Software Systems (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The application relates to the technical field of electric appliances, in particular to a method and a device for evaluating the service condition of a household appliance, an electronic device and a storage medium, and solves the technical problem that the service condition of the household appliance cannot be directly known at present, so that the household appliance is damaged. The method comprises the steps of obtaining a data set of running conditions of all components of the household appliance in a preset time period, obtaining corresponding grading modes of all the components based on the data set, and evaluating the service condition of the household appliance in the preset time period based on the corresponding grading of all the components.
Description
Technical Field
The application relates to the technical field of electric appliances, in particular to a method and a device for evaluating the service condition of a household electric appliance, an electronic device and a storage medium.
Background
Once the air conditioner is sold, the producer cannot directly know the use condition of the air conditioner. Due to various environmental factors, the air conditioner may malfunction while operating. Some faults are not obvious in performance and cannot be obviously detected by a user, and no matter the damage to the air conditioner is possible.
Disclosure of Invention
In view of the above problems, the application provides a method and a device for evaluating the use condition of a household appliance, an electronic device and a storage medium, which solve the technical problem that the use condition of the household appliance cannot be directly known at present, so that the household appliance is damaged.
In a first aspect, the present application provides a method for evaluating usage of a household appliance, the method comprising:
acquiring a data set of running conditions of all components of the household appliance in a preset time period;
obtaining a score corresponding to each component based on the data set;
and evaluating the use condition of the household appliance in the preset time period based on the corresponding scores of the components.
According to an embodiment of the application, optionally, in the method for evaluating a usage condition of a household appliance, the step of obtaining the corresponding scores of the components based on the data set includes:
carrying out batch processing on the data set to obtain a numerical value set representing the running condition of each component of the household appliance in the preset time period;
and comparing the numerical value set with a preset standard value corresponding to each part to obtain a score corresponding to each part.
According to an embodiment of the application, optionally, in the method for evaluating a usage condition of a household appliance, the step of comparing the value set with a preset standard value corresponding to each component to obtain a score corresponding to each component includes:
correspondingly comparing the numerical value set with a preset standard value corresponding to each part to obtain the deviation degree of the numerical value of each part and the standard value corresponding to each part;
and obtaining corresponding scores of each component based on the deviation degree, wherein the corresponding scores of each component represent the running condition of each component in the preset time period.
According to an embodiment of the application, optionally, in the method for evaluating the usage of the household appliance, based on the corresponding scores of the components, the step of evaluating the usage of the household appliance in the preset time period includes:
calculating to obtain the running condition value of the household appliance in the preset time period according to the corresponding scores of the components and the preset weight of the components;
and comparing the running condition value of the household appliance with a preset standard value of the household appliance, and evaluating the service condition of the household appliance in the preset time period according to the comparison result.
According to an embodiment of the application, optionally, in the method for evaluating the usage of the household appliance, the step of comparing the operating condition value of the household appliance with a preset standard value of the household appliance and evaluating the usage of the household appliance within the preset time period according to the comparison result includes:
comparing the household appliance operation condition value with a preset standard value of the household appliance, and calculating to obtain the deviation of the household appliance operation condition value and the preset standard value of the household appliance;
and evaluating the use condition of the household appliance in the preset time period according to the deviation.
According to an embodiment of the application, optionally, in the above method for evaluating usage of a household appliance, before the step of obtaining a data set of operation conditions of components of the household appliance in a preset time period, the method further includes:
receiving real-time data of the running conditions of all parts of the household appliance, which are sent by the household appliance;
and cleaning the real-time data, obtaining cleaned data of the running conditions of all the parts of the household appliance, and storing the cleaned data in a data warehouse.
According to an embodiment of the present application, optionally, in the method for evaluating usage of a household appliance, the step of obtaining a data set of operation conditions of components of the household appliance in a preset time period includes:
and acquiring a data set of the running conditions of all the components of the household appliance in a preset time period from the data warehouse at regular time.
According to an embodiment of the application, optionally, in the above household appliance usage assessment method, before the step of obtaining respective scores of the components based on the data set, the method further includes:
recording the operation data of each component of the household appliance under each normal operation condition to obtain the average value of each component in normal operation, and taking the average value of each component in normal operation as the corresponding standard value of each component;
and calculating to obtain the standard value of the household appliance according to the average value of the normal operation of each component and the preset weight of each component.
In a second aspect, the present application provides a home appliance usage assessment apparatus, the apparatus comprising: the device comprises a data acquisition unit, a score acquisition unit and an evaluation unit. And the data acquisition unit is used for acquiring a data set of the running conditions of all the components of the household appliance in a preset time period. And the score obtaining unit is used for obtaining the corresponding scores of all the parts based on the data set. And the evaluation unit is used for evaluating the use condition of the household appliance in the preset time period based on the corresponding scores of all the parts.
In a third aspect, the present application provides a storage medium storing a computer program, which when executed by one or more processors, implements the household appliance usage assessment method as described above.
In a fourth aspect, the present application provides an electronic device, comprising a memory and a processor, wherein the memory stores a computer program, and the computer program is executed by the processor to execute the household appliance use condition evaluation method.
Compared with the prior art, one or more embodiments in the above scheme can have the following advantages or beneficial effects: the method comprises the steps of obtaining a data set of running conditions of all components of the household appliance in a preset time period, obtaining corresponding grading modes of all the components based on the data set, and evaluating the service condition of the household appliance in the preset time period based on the corresponding grading of all the components. The technical problem that the service condition of the household appliance cannot be directly known at present so that the household appliance is damaged is solved.
Drawings
The scope of the present disclosure will be better understood from the following detailed description of exemplary embodiments, when read in conjunction with the accompanying drawings. Wherein the included drawings are:
FIG. 1 is a schematic diagram of an application environment according to an embodiment of the present application;
fig. 2 is a flowchart of a method for evaluating usage of a household appliance according to an embodiment of the present application;
fig. 3 is a block diagram of a structure of a home appliance usage evaluation device according to a second embodiment of the present application.
In the drawings, like parts are designated with like reference numerals, and the drawings are not drawn to scale.
Detailed Description
The following detailed description will be provided with reference to the accompanying drawings and embodiments, so that how to apply the technical means to solve the technical problems and achieve the corresponding technical effects can be fully understood and implemented. The embodiments and various features in the embodiments of the present application can be combined with each other without conflict, and the formed technical solutions are all within the scope of protection of the present application.
The following embodiments of the present application can be applied to the environment shown in fig. 1 without specific description, and as shown in fig. 1, the household appliance 100 is communicatively connected to the server 200. The home appliance 100 and the server 200 may establish a communication connection in a Wi-Fi (wireless fidelity) network, a 2G/3G/4G network, or a local area network. In the embodiment of the present application, the home appliance 100 includes a GPRS communication module, and the home appliance 100 is connected to the server 200 through the GPRS communication module. For example, the household appliance 100 may include, but is not limited to, an air conditioner, a television, a washing machine, and the like.
Example one
Referring to fig. 2, an embodiment of the present application provides a method for evaluating usage of a household appliance, where the method includes step S200, step S210, and step S220.
Step S200: and acquiring a data set of the running conditions of all components of the household appliance in a preset time period.
According to an embodiment of the present application, optionally, before step S200, the method may further include:
recording the operation data of each component of the household appliance under each normal operation condition to obtain the average value of each component in normal operation, and taking the average value of each component in normal operation as the corresponding standard value of each component;
and calculating to obtain the standard value of the household appliance according to the average value of the normal operation of each component and the preset weight of each component.
In the present embodiment, the preset time period may be within one hour before the current time, within the first 15 days or within the first month, within the first year, and the like.
It can be understood that, for simplifying the description, the embodiment of the present application takes the household appliance as an example for explaining the air conditioner, after each model is produced, samples are sampled and selected by a sampling method, and the air conditioner is tested under various environmental conditions, and the test stage must ensure the diversity of test cases. And during testing, recording the operation data of each component of the air conditioner under each normal operation condition. The components may include, but are not limited to, a compressor, a fan, a temperature sensor, etc. in the air conditioner, and the operation data of the components may include respective parameters of the compressor, the fan, and the temperature sensor. And obtaining the average value of each component in normal operation under various conditions by a mathematical statistics method, and taking the average value of each component in normal operation as the corresponding standard value of each component. Then, according to the weight of each preset component, the operation condition of the air conditioner is detailed and described as a numerical value through an algorithm, and the standard value of the household appliance is obtained. The approximate function of the algorithm for detailing the operation condition of the air conditioner into numerical values is a statistical effect, and the numerical values of all parameters, such as the standard values corresponding to all parts, are weighted, summed and classified into one value, so that the overall condition of the air conditioner is relatively and accurately expressed.
According to an embodiment of the present application, optionally, before step S200, the method may further include:
receiving real-time data of the running conditions of all parts of the household appliance, which are sent by the household appliance;
and cleaning the real-time data, obtaining cleaned data of the running conditions of all the parts of the household appliance, and storing the cleaned data in a data warehouse.
According to an embodiment of the present application, optionally, the step of obtaining a data set of operation conditions of each component of the household appliance in a preset time period includes:
and acquiring a data set of the running conditions of all the components of the household appliance in a preset time period from the data warehouse at regular time.
It can be understood that, for simplifying the description, the embodiment of the present application is described by taking a household appliance as an example of an air conditioner, a strict data privacy treaty is made, when a user clicks on the agreement at a client, such as APP installed on a mobile phone, or a wechat applet which is popular nowadays, that is, data is allowed to be collected, a GPRS communication module of the air conditioner is started, the air conditioner converts the operation state of each component, such as a compressor, a fan, a temperature sensor, and the like, into a real-time data value of 0/1, and the data is firstly converted into a binary system at a hardware layer and finally sent to a server through the GPRS communication module.
In order to ensure the validity of data, after receiving the real-time data of the operation conditions of each component of the household appliance, which is sent by the household appliance, the server firstly cleans the data through a series of logics, removes the data which makes mistakes in transmission, and then stores the cleaned data in a Hive data warehouse for subsequent data analysis and processing. And the server acquires the data set of the running conditions of all the components of the household appliance in a preset time period from the data warehouse at regular time so as to carry out subsequent calculation. For example, the calculation is performed every hour, every day, or every week, and may be arbitrarily set according to the actual situation.
Step S210: based on the data set, respective scores for each component are obtained.
According to an embodiment of the present application, step 210 may optionally include:
carrying out batch processing on the data set to obtain a numerical value set representing the running condition of each component of the household appliance in the preset time period;
and comparing the numerical value set with a preset standard value corresponding to each part to obtain a score corresponding to each part.
According to an embodiment of the present application, optionally, the step of comparing the value set with a preset standard value corresponding to each component to obtain a score corresponding to each component may include:
correspondingly comparing the numerical value set with a preset standard value corresponding to each part to obtain the deviation degree of the numerical value of each part and the standard value corresponding to each part;
and obtaining corresponding scores of each component based on the deviation degree, wherein the corresponding scores of each component represent the running condition of each component in the preset time period.
Step S220: and evaluating the use condition of the household appliance in the preset time period based on the corresponding scores of the components.
According to an embodiment of the present application, optionally, step S220 may include:
calculating to obtain the running condition value of the household appliance in the preset time period according to the corresponding scores of the components and the preset weight of the components;
and comparing the running condition value of the household appliance with a preset standard value of the household appliance, and evaluating the service condition of the household appliance in the preset time period according to the comparison result.
According to an embodiment of the application, optionally, the step of comparing the operating condition value of the household appliance with a preset standard value of the household appliance and evaluating the use condition of the household appliance within the preset time period according to the comparison result includes:
comparing the household appliance operation condition value with a preset standard value of the household appliance, and calculating to obtain the deviation of the household appliance operation condition value and the preset standard value of the household appliance;
and evaluating the use condition of the household appliance in the preset time period according to the deviation.
In the embodiment of the application, the corresponding scores of all the parts are integrated to reflect the current air conditioner state, which is the portrait of the air conditioner, so that the operation condition of the air conditioner can be evaluated. For example, if the deviation between the operating condition value of the household appliance and the preset standard value of the household appliance is within a range from 0 to a preset constant, which can be 1, calculated according to steps S200 to S220 within one hour before the current time, it indicates that the household appliance is working normally and in a good state within one hour before the current time; if the deviation is larger than the preset constant, the household appliance is indicated to be abnormally operated within one hour before the current time, and faults may occur, and follow-up work such as repair is needed. The use condition of the household appliance can be directly known at any time, and the improvement of the model of the household appliance is facilitated.
Example two
Referring to fig. 3, the present application provides a device 300 for evaluating usage of a household appliance, wherein the device 300 may include: a data acquisition unit 310, a score acquisition unit 320, and an evaluation unit 330.
The data acquisition unit 310 is configured to acquire a data set of operation conditions of each component of the household appliance in a preset time period.
The data obtaining unit 310 is further configured to record operation data of each component of the household appliance under each normal operation condition, obtain an average value of each component in normal operation, and use the average value of each component in normal operation as a corresponding standard value of each component; and calculating to obtain the standard value of the household appliance according to the average value of the normal operation of each component and the preset weight of each component.
The data obtaining unit 310 is further configured to receive real-time data of operation conditions of each component of the home appliance, which is sent by the home appliance; and cleaning the real-time data, obtaining cleaned data of the running conditions of all the parts of the household appliance, and storing the cleaned data in a data warehouse.
The data obtaining unit 310 is further configured to obtain, from the data warehouse at regular time, a data set of operation conditions of each component of the household appliance in a preset time period.
And a score obtaining unit 320, configured to obtain a score corresponding to each component based on the data set.
The score obtaining unit 320 is further configured to perform batch processing on the data set to obtain a value set representing operation conditions of each component of the household appliance in the preset time period; and comparing the numerical value set with a preset standard value corresponding to each part to obtain a score corresponding to each part.
The score obtaining unit 320 is further configured to correspondingly compare the value set with a preset standard value corresponding to each component, and obtain an offset degree between the value of each component and the standard value corresponding to each component; and obtaining corresponding scores of each component based on the deviation degree, wherein the corresponding scores of each component represent the running condition of each component in the preset time period.
The evaluation unit 330 is configured to evaluate the usage of the household appliance in the preset time period based on the corresponding scores of the components.
The evaluation unit 330 is further configured to calculate a running condition value of the household appliance within the preset time period according to the corresponding score of each component and a preset weight of each component; and comparing the running condition value of the household appliance with a preset standard value of the household appliance, and evaluating the service condition of the household appliance in the preset time period according to the comparison result.
The evaluation unit 330 is further configured to compare the household appliance operation condition value with a preset standard value of the household appliance, and calculate to obtain a deviation between the household appliance operation condition value and the preset standard value of the household appliance; and evaluating the use condition of the household appliance in the preset time period according to the deviation.
The above units may be implemented by software codes, and in this case, the above units may be stored in a memory. The above units may also be implemented by hardware, for example, an integrated circuit chip.
The implementation principle and the generated technical effect of the device for evaluating the use condition of the household appliance provided by the embodiment of the invention are the same as those of the method embodiment, and for the sake of brief description, no part of the embodiment of the device is mentioned, and reference may be made to the corresponding contents in the method embodiment.
EXAMPLE III
The present embodiments also provide a storage medium, such as a flash memory, a hard disk, a multimedia card, a card-type memory (e.g., SD or DX memory, etc.), a Random Access Memory (RAM), a Static Random Access Memory (SRAM), a read-only memory (ROM), an electrically erasable programmable read-only memory (EEPROM), a programmable read-only memory (PROM), a magnetic memory, a magnetic disk, an optical disk, an App application mall, etc., having stored thereon a computer program that when executed by a processor, performs the method steps of:
acquiring a data set of running conditions of all components of the household appliance in a preset time period;
obtaining a score corresponding to each component based on the data set;
and evaluating the use condition of the household appliance in the preset time period based on the corresponding scores of the components.
The specific embodiment process of the above method steps can be referred to as embodiment one, and the details of this embodiment are not repeated herein.
Example four
An embodiment of the present application further provides an electronic device, which includes a memory and a processor, where the memory stores a computer program, and the computer program, when executed by the processor, implements the method for evaluating a usage situation of a home appliance according to the first embodiment, and the electronic device may be a server.
Wherein, the processor is used for executing all or part of the steps in the household appliance use condition evaluation method according to the embodiment. The memory is used to store various types of data, which may include, for example, instructions for any application or method in the electronic device, as well as application-related data.
In summary, according to the method, the data set of the running conditions of the components of the household appliance in the preset time period is obtained, the corresponding grading mode of the components is obtained based on the data set, and then the service condition of the household appliance in the preset time period is evaluated based on the corresponding grading of the components. The technical problem that the service condition of the household appliance cannot be directly known at present so that the household appliance is damaged is solved.
In the several embodiments provided in the embodiments of the present application, it should be understood that the disclosed system and method may be implemented in other ways. The system and method embodiments described above are merely illustrative.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
Although the embodiments disclosed in the present application are described above, the descriptions are only for the convenience of understanding the present application, and are not intended to limit the present application. It will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the disclosure as defined by the appended claims.
Claims (11)
1. A method for evaluating the usage of a household appliance, the method comprising:
acquiring a data set of running conditions of all components of the household appliance in a preset time period;
obtaining a score corresponding to each component based on the data set;
and evaluating the use condition of the household appliance in the preset time period based on the corresponding scores of the components.
2. The method of claim 1, wherein obtaining respective scores for each component based on the data set comprises:
carrying out batch processing on the data set to obtain a numerical value set representing the running condition of each component of the household appliance in the preset time period;
and comparing the numerical value set with a preset standard value corresponding to each part to obtain a score corresponding to each part.
3. The method of claim 2, wherein comparing the set of values to predetermined criteria values associated with each component to obtain a score associated with each component comprises:
correspondingly comparing the numerical value set with a preset standard value corresponding to each part to obtain the deviation degree of the numerical value of each part and the standard value corresponding to each part;
and obtaining corresponding scores of each component based on the deviation degree, wherein the corresponding scores of each component represent the running condition of each component in the preset time period.
4. The method of claim 1, wherein the step of evaluating the usage of the household appliance for the preset time period based on the respective scores of the components comprises:
calculating to obtain the running condition value of the household appliance in the preset time period according to the corresponding scores of the components and the preset weight of the components;
and comparing the running condition value of the household appliance with a preset standard value of the household appliance, and evaluating the service condition of the household appliance in the preset time period according to the comparison result.
5. The method according to claim 4, wherein the step of comparing the operation condition value of the household appliance with a preset standard value of the household appliance and evaluating the use condition of the household appliance in the preset time period according to the comparison result comprises:
comparing the household appliance operation condition value with a preset standard value of the household appliance, and calculating to obtain the deviation of the household appliance operation condition value and the preset standard value of the household appliance;
and evaluating the use condition of the household appliance in the preset time period according to the deviation.
6. The method according to claim 1, wherein before the step of obtaining the data set of the operation conditions of the components of the household appliance within a preset time period, the method further comprises:
receiving real-time data of the running conditions of all parts of the household appliance, which are sent by the household appliance;
and cleaning the real-time data, obtaining cleaned data of the running conditions of all the parts of the household appliance, and storing the cleaned data in a data warehouse.
7. The method of claim 6, wherein the step of obtaining a data set of the operation of the components of the household appliance during a predetermined period of time comprises:
and acquiring a data set of the running conditions of all the components of the household appliance in a preset time period from the data warehouse at regular time.
8. The method according to any of claims 1-7, wherein prior to the step of obtaining respective scores for the components based on the data set, the method further comprises:
recording the operation data of each component of the household appliance under each normal operation condition to obtain the average value of each component in normal operation, and taking the average value of each component in normal operation as the corresponding standard value of each component;
and calculating to obtain the standard value of the household appliance according to the average value of the normal operation of each component and the preset weight of each component.
9. A home appliance use condition evaluation device, characterized in that the device comprises:
the data acquisition unit is used for acquiring a data set of the running conditions of all components of the household appliance in a preset time period;
the score obtaining unit is used for obtaining corresponding scores of all the components based on the data set;
and the evaluation unit is used for evaluating the use condition of the household appliance in the preset time period based on the corresponding scores of all the parts.
10. A storage medium storing a computer program which, when executed by one or more processors, implements a method as claimed in any one of claims 1 to 8.
11. An electronic device comprising a memory and a processor, the memory having stored thereon a computer program which, when executed by the processor, performs the method of any one of claims 1 to 8.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911261677.XA CN111046340A (en) | 2019-12-10 | 2019-12-10 | Household appliance use condition evaluation method and device, electronic equipment and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911261677.XA CN111046340A (en) | 2019-12-10 | 2019-12-10 | Household appliance use condition evaluation method and device, electronic equipment and storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111046340A true CN111046340A (en) | 2020-04-21 |
Family
ID=70235478
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911261677.XA Pending CN111046340A (en) | 2019-12-10 | 2019-12-10 | Household appliance use condition evaluation method and device, electronic equipment and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111046340A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116276951A (en) * | 2022-09-07 | 2023-06-23 | 云鲸智能(深圳)有限公司 | Robot usage evaluation method, apparatus and computer readable storage medium |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102621421A (en) * | 2012-03-29 | 2012-08-01 | 贵阳供电局 | Transformer state evaluation method based on correlation analysis and variable weight coefficients |
| US9947051B1 (en) * | 2013-08-16 | 2018-04-17 | United Services Automobile Association | Identifying and recommending insurance policy products/services using informatic sensor data |
| CN110222437A (en) * | 2019-06-12 | 2019-09-10 | 中国神华能源股份有限公司 | Appraisal procedure, device and the storage medium of train car team health status |
| CN110333995A (en) * | 2019-07-09 | 2019-10-15 | 英赛克科技（北京）有限公司 | The method and device that operation of industrial installation is monitored |
-
2019
- 2019-12-10 CN CN201911261677.XA patent/CN111046340A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102621421A (en) * | 2012-03-29 | 2012-08-01 | 贵阳供电局 | Transformer state evaluation method based on correlation analysis and variable weight coefficients |
| US9947051B1 (en) * | 2013-08-16 | 2018-04-17 | United Services Automobile Association | Identifying and recommending insurance policy products/services using informatic sensor data |
| CN110222437A (en) * | 2019-06-12 | 2019-09-10 | 中国神华能源股份有限公司 | Appraisal procedure, device and the storage medium of train car team health status |
| CN110333995A (en) * | 2019-07-09 | 2019-10-15 | 英赛克科技（北京）有限公司 | The method and device that operation of industrial installation is monitored |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116276951A (en) * | 2022-09-07 | 2023-06-23 | 云鲸智能(深圳)有限公司 | Robot usage evaluation method, apparatus and computer readable storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110633222B (en) | Method and device for determining regression test case | |
| US20080249743A1 (en) | Load calculating device and load calculating method | |
| CN116628564B (en) | Model training method and system for detecting generator state | |
| CN117112336B (en) | Intelligent communication equipment abnormality detection method, equipment, storage medium and device | |
| CN113011482B (en) | Non-invasive load identification method, terminal device and storage medium | |
| CN114020971A (en) | Abnormal data detection method and device | |
| CN118173151A (en) | Automatic testing method and system for aging test of solid state disk | |
| CN111310351B (en) | Method and device for monitoring state of workshop equipment, terminal equipment and storage medium | |
| CN116859317A (en) | Capacitive voltage transformer measurement error prediction method and device | |
| CN116453437A (en) | Display screen module testing method, device, equipment and storage medium | |
| CN112801709A (en) | User loss prediction method, device, equipment and storage medium | |
| CN111046340A (en) | Household appliance use condition evaluation method and device, electronic equipment and storage medium | |
| CN111488272A (en) | Automatic testing method and device for complex transaction files | |
| CN110598797B (en) | Fault detection method and device, storage medium and electronic device | |
| CN107102938B (en) | Test script updating method and device | |
| CN111812445B (en) | Intelligent capacitor error correction method and device, computer equipment and storage medium | |
| CN109460001B (en) | Method and device for associating fault code with accessory | |
| CN112488532A (en) | Power equipment data monitoring method and device and server | |
| CN111259028A (en) | Target data output method and device, electronic equipment and readable storage medium | |
| CN119310497B (en) | A transformer fault processing method and system | |
| CN114999494B (en) | Testing method and device for voice interaction function, storage medium and electronic device | |
| CN114816990B (en) | Method for evaluating automatic test application level and related equipment | |
| CN108632871B (en) | Flow state analysis method, device and system | |
| CN115509948A (en) | Test method, test device, computer equipment and computer readable storage medium | |
| CN116883769A (en) | Icon test threshold generation method, device, equipment and storage medium |
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 | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20200421 |
|
| RJ01 | Rejection of invention patent application after publication |