CN111427328B - Method for reducing household system faults - Google Patents
Method for reducing household system faults Download PDFInfo
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- CN111427328B CN111427328B CN202010090565.9A CN202010090565A CN111427328B CN 111427328 B CN111427328 B CN 111427328B CN 202010090565 A CN202010090565 A CN 202010090565A CN 111427328 B CN111427328 B CN 111427328B
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B23/00—Testing or monitoring of control systems or parts thereof
- G05B23/02—Electric testing or monitoring
- G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
- G05B23/0208—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterized by the configuration of the monitoring system
- G05B23/0213—Modular or universal configuration of the monitoring system, e.g. monitoring system having modules that may be combined to build monitoring program; monitoring system that can be applied to legacy systems; adaptable monitoring system; using different communication protocols
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/20—Pc systems
- G05B2219/24—Pc safety
- G05B2219/24065—Real time diagnostics
Abstract
In order to improve the connection and operation stability of a home equipment system, a method for reducing home system faults is provided, and the method comprises the following steps: acquiring product functions and detection requirement information of a plurality of pieces of intelligent household equipment which are currently networked through fault elimination equipment, and identifying the detection requirement information to remove identified fault contents; and executing the detection of the intelligent household equipment, analyzing and counting the fault content input in the detection process of the intelligent household equipment according to the identified category through the fault elimination equipment to generate a statistical analysis logic and storing the statistical analysis logic into the fault elimination equipment.
Description
[ technical field ]
The invention relates to an error management process and a related method applied to intelligent household equipment, belongs to the field of calculation of an operating system of an Internet of things platform, and also relates to a software function detection and household equipment fault elimination technology in the platform operation.
[ background art ]
With the development of the industry of the industrial internet of things, a system for executing the operation of the household equipment or faults generated among the accessed household equipment in the actual scene application provided by the intelligent household equipment are inevitable. The fault can cause at least part of functions of the intelligent household equipment to be incapable of being used normally or meet personalized customization requirements of users. After the fault is generated, not all running software programs or background processes can be effectively managed, analyzed and the fault generation quantity is reduced so as to improve the practicability and stability of the intelligent household equipment system in the actual scene application.
The existing household system may generate faults in the connection process, and the background system only records and counts the faults aiming at the management software of the faults, so that the mode is only data recording and displaying to a great extent, the reduction of the number of the faults cannot be effectively controlled, the repeated opening rate of the faults and the leaving rate of the faults are reduced, and the connection transmission efficiency and the reliability of the household system are obviously reduced.
[ summary of the invention ]
The system can effectively control the reduction of the number of faults in the household system and reduce the repeated opening rate and the leaving rate of the faults. The invention provides a fault elimination system based on intelligent household equipment and a statistical method thereof to reduce the number of faults or the repetition rate so as to solve the problem of fault generation in the prior art, and the embodiment of the invention can reduce the faults associated with a memory, so that the repeated occurrence of the faults or the disconnection results caused by the faults can not be caused when each household equipment runs in the subsequent reading operation executed on a storage unit.
The fault elimination system provided by the invention can be used for remarkably improving the problems of unclear statistics and no-arrival of faults in severity, repeated opening rate and leaving rate. Configuration improvements to such systems may include several smart home devices, storage devices, and troubleshooting devices. In such system improvements, the memory apparatus may be, for example, a Solid State Disk (SSD) and may include an applicable data interface, a controller (e.g., logic circuitry and/or other control circuitry), and a plurality of memory devices, which may be referred to as memories. The memory may comprise a plurality of solid state memory devices, such as NAND flash devices or the like, that provide storage capacity for management data of such a failover system, for example. The fault elimination device may include a discrete memory channel controller for coupling the processor to each read-write channel in the respective household device. The troubleshooting apparatus may also include various components or controls, e.g., in the form of hardware and/or firmware (e.g., one or more integrated circuits) and/or software, for controlling access to memory and/or for facilitating data transfer between the troubleshooting apparatus and, e.g., a household device memory.
In order to solve the technical problem, the invention provides a fault elimination and statistics method based on intelligent household equipment, which comprises the following steps:
a method for reducing faults of a home system comprises the following steps:
step 100, acquiring product functions and detection requirement information of a plurality of pieces of intelligent household equipment which are currently networked through fault elimination equipment, and identifying the detection requirement information to remove identified fault contents;
step 200, executing detection on the intelligent household equipment, analyzing and counting fault contents input in the detection process of the intelligent household equipment according to the identified categories through the fault elimination equipment to generate statistical analysis logic and storing the statistical analysis logic into the fault elimination equipment; and
and 300, issuing the household equipment products determined to be detected to be finished on a household system platform through the fault elimination equipment, wherein the fault content obtained through the statistical analysis logic is fed back to the current processing equipment of the fault content, and the processing equipment is any intelligent household equipment or fault elimination equipment.
As an optimization choice of the above listed methods, the detection requirement information is divided into hardware detection information and software detection information, where the hardware detection information is set to be input into the fault elimination device so that identification information of the smart home devices to be detected meets a pre-stored preset home device list; the software detection information is set to input information of the intelligent household equipment to be detected to the fault elimination equipment so as to represent the content of the item to be detected of the intelligent household equipment to be detected.
As an optimization option of the above listed method, in the above step 100, a plurality of controller units of the retrieved failure selection field among a plurality of home devices coupled with the smart host are written and/or read together as a statistical device group, the device group written and/or read together includes the above detection data page and a plurality of data items or logic codes are written in the detection data page.
As an optimization option of the above listed method, after retrieving the user data of the smart home device by fault logic encoding via the identification component, the identified encoded data is re-encoded by the identification component with the inputted correction data to protect the code word valid field.
Further, the troubleshooting device includes an identification component for generating the hardware and/or software detection information described above, such identification component configured to generate a poll for a set of program instructions of user data in the smart home device with a data code.
Still further, the identification component may also be configured to retrieve data contexts occurring simultaneously or in the same class across data volumes of smart home devices.
Still further, the identification component may also be configured to correct those data contexts in the failure data that are determined to be incorrect to determine the source of the data prior to performing a data pack decode operation on the page of data, without requiring post-processing after performing the pack decode.
On this basis, the troubleshooting device further comprises a statistical component configured to find out read data pages residing in any one of the home devices via the statistical component before being decoded by the identifying, and upon receipt by the troubleshooting device, the identifying component is configured to correct those data indexes of the data to be decoded that are determined to have incorrect data values to directly remove these data contexts.
[ description of the drawings ]
Fig. 1 is a flowchart of a fault elimination and statistics method based on smart home devices according to the present invention;
FIG. 2 is a flowchart of information resource publishing in an embodiment of the present invention
[ detailed description of the invention ]
The advantages of the listed technical solutions of the present invention will be presented in detail by the embodiments listed below.
Referring to fig. 1 and 2, the troubleshooting system of the present invention mainly includes a troubleshooting device S200, a detecting device S100 communicating with the troubleshooting device S200, and a memory S300 communicating with the troubleshooting device S200. In some embodiments, the detection device S100 may also be part of the troubleshooting device S200 or remotely separated from the entirety of the troubleshooting device S200. On the basis, the method for reducing the faults of the household system mainly comprises the following steps:
step 100, connecting the fault eliminating device S200 to the detecting device S100 for the home devices to obtain the product functions of one or more current smart home devices and the detection requirement information thereof, and identifying the requirement information to remove the identified fault content. The detection requirement information can be divided into hardware detection information and software detection information.
For example, the troubleshooting device S200 may include an identification component for generating the hardware/software detection information described above, such identification component configured to generate a poll with a data encoding for a set of program instructions in the household device, such as user data. As another example, the identification component may use the context of the retrieved fault data (such as data code segments of a known format, etc.) to determine the particular user data corresponding to the associations that may be made in any of the household devices that are communicatively coupled to the fault elimination device and/or the detection device in order to determine the grouping of the household devices.
Further, the identifying component may also be configured to retrieve context of the fault data occurring simultaneously or in-kind among the amount of data sent/downloaded by the home device (e.g., user data received from the home device as a gateway or smart host). Since fault data may include data values written at known locations within any data page (e.g., source code or detection script type), such identification component may also be configured to determine the source device (or group of devices) that has occurred or occurred at the time these user data with incorrect values are read from memory S300, and to re-correct those data values or data units/data sets that were determined to be incorrect by the identification component in light of such occurrence in order to more accurately eliminate such fault data.
Additionally, in some embodiments, the identification component may also be configured to determine the source of the data by correcting those of the above-described failure data contexts that were determined to be incorrect prior to performing a data pack decode operation on the page of data, without requiring post-processing after performing the pack decode. Thus, in one embodiment, the fault data is calibrated prior to being decoded along with the corresponding household device data.
Of course, such identification components are not limited to program instruction sets or data source code, but may be implemented by logic gates, e.g., in hardware, firmware, and/or software.
The hardware detection information is set to: the information about the home devices to be detected is input to the troubleshooting device S200, and the information is stored in a preset home device list stored in the memory S300, for example, a hardware detection data page may be set, where the hardware detection data page is used to input device information that the home devices to be detected must satisfy the product list, a company and a product barcode must be attached to the detected home devices, and a hardware description index and a detection result for the home devices must be attached to the hardware detection data page.
The software detection information is set to: inputting information about the home devices to be detected to the troubleshooting device S200 to indicate the content of the items to be detected of the home devices to be detected, for example, the necessary detection descriptions, including "version", "function description", "notes in the detection process", and possibly an additional User Interface (UI) interaction diagram about the home devices, may be set in a software detection data page.
The fault elimination device S200 also includes a statistical component, which may be discrete components such as an Application Specific Integrated Circuit (ASIC) provided in the detection device or a functional component that may reflect the provision of discrete form circuitry within the home device controller that is not necessarily separate from the rest of the controller. The statistics component and the identification component may comprise separate encoding and decoding components. For example, in an actual join operation, user data may be written to and/or read repeatedly from memory as page data.
Step 200, detecting the household equipment, analyzing and counting the fault content input in the household equipment detection process according to the identified category through the fault elimination equipment to generate statistical analysis logic (for example, using a statistical component), the statistical analysis logic includes periodic statistics on a plurality of detection tasks (for example, statistics on detection tasks of each week), statistics on the number of fault current states (statistics on the number of fault states in the current week and the percentage of the fault states in the detected content), statistics on set fault severity levels (for example, statistics on the number of fault severity levels in the current week and the percentage of the fault severity levels), statistics on fault proportions of current processing devices of each type of fault content (statistics on the fault proportions of current processors of faults in the current week), and analysis contents, and the statistical analysis logic is finally stored in the fault elimination device.
And step 300, releasing the household equipment products determined to be detected to the household system platform through the fault elimination equipment S200. For example, the following methods are "APP on-shelf delivery", "front-end page delivery", "server delivery", and "emergency troubleshooting delivery", respectively. Wherein the fault content obtained by the statistical analysis logic is fed back to the current processing equipment of the fault content.
For example, in performing a connection operation of a home device, a plurality of controller units of a selected field of failure retrieved from a plurality of home devices (and possibly using host computer software) coupled to, for example, a smart host, may be written and/or read together as a statistical group of devices. The set of devices that write and/or read together may include the above-described check data page and may write a plurality of data items or logical encodings in the check data page. For example, a plurality of corresponding partitioned storage units may be configured to store one or more pages of data, or to correspond to hardware failure types or specific detection information associated with, for example, software detection. In some examples, the identification bits of the page of data stored in each partitioned storage unit may correspond to different logical encodings of the data.
Additionally, after user data of the household device is retrieved with the fault logic encoding via the identification component, the identified encoded data can be re-encoded with the entered correction data via the identification component to protect the codeword valid fields (e.g., user data and identification data). The fields of the identified and re-encoded code may then be written to the original partitioned memory location (e.g., into a fixed memory page). In response to a read detect command, the data read again from the memory cell (e.g., including data encoding by the identification component and the statistics component) can be decoded by the identification component and the statistics component.
In one embodiment, the read data page residing in any one of the home devices is located via a statistical component prior to decoding by the identification. Upon receipt by the troubleshooting device S200, the identification component corrects those data indices of the data to be decoded that are determined to have incorrect data values and removes these data contexts directly. For example, the identified data page includes a known value at a known location within the data encoding. The identification component may store known logical patterns of identification data in a suitable buffer, and may compare differences between the acquired data page and the data page read from the memory partition to identify the faulty data context.
Claims (1)
1. A method for reducing household system faults is characterized by comprising the following steps:
step 100, acquiring product functions and detection requirement information of a plurality of pieces of intelligent household equipment which are currently networked through fault elimination equipment, and identifying the detection requirement information to remove identified fault contents; and
step 200, executing detection on the intelligent household equipment, analyzing and counting fault contents input in the detection process of the intelligent household equipment according to the identified categories through the fault elimination equipment to generate statistical analysis logic and storing the statistical analysis logic into the fault elimination equipment; step 300, issuing the household equipment products determined to be detected to the household system platform through the fault elimination equipment, wherein the fault content obtained through the statistical analysis logic is fed back to the current processing equipment of the fault content, and the processing equipment is any intelligent household equipment or fault elimination equipment;
the detection demand information is divided into hardware detection information and software detection information, wherein the hardware detection information is set to be input into the fault elimination equipment, and identification information of the intelligent household equipment to be detected meets the requirement of a pre-stored preset household equipment list; the software detection information is set to input information of the intelligent household equipment to be detected to the fault elimination equipment so as to represent the content of the item to be detected of the intelligent household equipment to be detected;
in step 100, the controller units of the selected field of the retrieved failure in the home devices coupled to the smart host are written and/or read together as a statistical device group, the device group written and/or read together comprises the detected data page and a plurality of data items or logic codes are written in the detected data page;
after retrieving user data of the smart home device with the fault logic encoding via the identification component, the identified encoded data is re-encoded with the inputted correction data via the identification component to protect the codeword valid field;
the troubleshooting device includes an identification component for generating the hardware and/or software detection information, such identification component configured to generate a poll for a set of program instructions of user data in the smart home device with a data code;
the identification component may also be configured to retrieve data contexts occurring simultaneously or in the same class among data volumes of smart home devices;
the identification component may also be configured to determine the source of data by correcting those data contexts in the failed data that were determined to be incorrect prior to performing a data pack decode operation on the page of data, without requiring post-processing after performing the pack decode;
characterized in that the troubleshooting device further comprises a statistics component configured such that read data pages residing in any one of the household devices are located via the statistics component prior to decoding by the recognition, and upon receipt by the troubleshooting device, the recognition component is configured to correct those data indices of the data to be decoded that are determined to have incorrect data values and to remove these data contexts directly.
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| CN111817935B (en) * | 2020-07-24 | 2021-12-24 | 浙江超人科技股份有限公司 | Internet intelligent home data processing method and system |
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