CN112612717A - Intelligent device parameter debugging management system - Google Patents
Intelligent device parameter debugging management system Download PDFInfo
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- CN112612717A CN112612717A CN202011616873.7A CN202011616873A CN112612717A CN 112612717 A CN112612717 A CN 112612717A CN 202011616873 A CN202011616873 A CN 202011616873A CN 112612717 A CN112612717 A CN 112612717A
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- 238000013461 design Methods 0.000 claims abstract description 11
- 238000004458 analytical method Methods 0.000 claims description 18
- 230000000694 effects Effects 0.000 claims description 11
- 238000012795 verification Methods 0.000 claims description 10
- 238000004088 simulation Methods 0.000 claims description 9
- 230000005540 biological transmission Effects 0.000 claims description 7
- 238000007405 data analysis Methods 0.000 claims description 7
- 238000013522 software testing Methods 0.000 claims description 7
- 238000012937 correction Methods 0.000 claims description 5
- 238000013178 mathematical model Methods 0.000 claims description 5
- 238000012360 testing method Methods 0.000 claims description 4
- 238000005516 engineering process Methods 0.000 description 6
- 238000012986 modification Methods 0.000 description 4
- 230000004048 modification Effects 0.000 description 2
- 238000012827 research and development Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000010354 integration Effects 0.000 description 1
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- 238000004092 self-diagnosis Methods 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/36—Preventing errors by testing or debugging software
- G06F11/362—Software debugging
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/07—Responding to the occurrence of a fault, e.g. fault tolerance
- G06F11/14—Error detection or correction of the data by redundancy in operation
- G06F11/1402—Saving, restoring, recovering or retrying
- G06F11/1446—Point-in-time backing up or restoration of persistent data
- G06F11/1448—Management of the data involved in backup or backup restore
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/36—Preventing errors by testing or debugging software
- G06F11/3668—Software testing
- G06F11/3672—Test management
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Abstract
The invention discloses an intelligent equipment parameter debugging management system which comprises a comprehensive control center, wherein the comprehensive control center is connected with a data center, a software updating module and an equipment management module, the data center is used for collecting and sorting the operating parameters of intelligent equipment, the software updating module carries out software development according to the data collected by the data center to develop targeted parameter adjusting software, and the equipment management module is used for adjusting the parameters of intelligent equipment through the parameter adjusting software. The intelligent device parameter debugging management system is optimized in design and high in operation efficiency.
Description
Technical Field
The invention relates to the technical field of intelligent equipment, in particular to an intelligent equipment parameter debugging management system.
Background
The intelligent equipment is a product combining traditional electrical equipment with computer technology, data processing technology, control theory, sensor technology, network communication technology, power electronic technology and the like. The intelligent device mainly comprises two key contents: self-detection is the basis for intelligent devices; self-diagnosis is the core of intelligent devices. The intelligent equipment is highly automated mechanical and electrical integration equipment, and has high requirements on the reliability of the intelligent equipment due to the complex structure and important function in a system. The reliability of the electronic product is determined by the reliability of the components, the technical design, the process level, the technical management and the like. The reliability of the product is improved, the failure rule of the product must be mastered, and effective measures can be taken to improve the reliability of the product only by comprehensively knowing the failure rule of the product. However, most of the existing intelligent devices still have the defect that parameter debugging is not timely and unreasonable. Therefore, there is a need for a smart device parameter debugging management system that overcomes the above-mentioned drawbacks.
Disclosure of Invention
The invention aims to provide an intelligent device parameter debugging management system to solve the problems in the background technology.
In order to achieve the purpose, the invention provides the following technical scheme:
the intelligent equipment parameter debugging management system comprises an integrated control center, wherein the integrated control center is connected with a data center, a software updating module and an equipment management module, the data center is used for collecting and arranging operating parameters of intelligent equipment, the software updating module is used for developing software according to data collected by the data center to develop targeted parameter adjusting software, and the equipment management module is used for debugging parameters of the intelligent equipment by applying the parameter adjusting software.
Preferably, the data center includes a data receiving unit and a data sorting unit, the data receiving unit is used for collecting the operating parameters of the intelligent device, and the data sorting unit sorts the collected parameters.
Preferably, the data center further includes a data backup unit, and the data backup unit is configured to avoid unexpected loss of data.
Preferably, the software updating module includes a data analysis unit, a software development unit, and a software testing unit, and the data analysis unit, the software development unit, and the software testing unit are respectively configured to analyze the stability of the parameters collected by the data center, the development and debugging software, and the testing and debugging software.
Preferably, the device management module includes a software application unit and an effect analysis unit, the software application unit applies debugging software to the intelligent device, and the effect analysis unit is configured to perform verification analysis on a debugging effect of the debugging software.
Preferably, the device management module further includes a data transmission unit, and the data transmission unit sends the debug result parameter to the data center.
Preferably, the comprehensive control center is further connected with a simulation analysis module, the simulation analysis module comprises a model design unit, a model verification unit and a model application unit, and the model design unit, the model verification unit and the model application unit simulate parameter adjustment of the intelligent device through a mathematical model.
Preferably, the simulation analysis unit further includes a model modification unit that performs self-modification with reference to an actual parameter adjustment result of the intelligent device.
Compared with the prior art, the invention has the beneficial effects that: according to the invention, the data center collects and arranges the operating parameters of the intelligent equipment, the software updating module carries out software development according to the data collected by the data center to develop targeted parameter adjustment software, and the model design unit, the model verification unit and the model application unit simulate the parameter adjustment of the intelligent equipment through a mathematical model, so that the research and development cost is reduced, and the research and development efficiency is improved. The intelligent device parameter debugging management system is optimized in design and high in operation efficiency.
Drawings
Fig. 1 is a schematic structural diagram of an intelligent device parameter debugging management system.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the 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.
Referring to fig. 1, the present invention provides a technical solution:
the intelligent equipment parameter debugging management system comprises an integrated control center, wherein the integrated control center is connected with a data center, a software updating module and an equipment management module, the data center is used for collecting and arranging operating parameters of intelligent equipment, the software updating module is used for developing software according to data collected by the data center to develop targeted parameter adjusting software, and the equipment management module is used for debugging parameters of the intelligent equipment by applying the parameter adjusting software.
Preferably, the data center includes a data receiving unit and a data sorting unit, the data receiving unit is used for collecting the operating parameters of the intelligent device, and the data sorting unit sorts the collected parameters.
Preferably, the data center further comprises a data backup unit, and the data backup unit is used for avoiding accidental loss of data.
Preferably, the software updating module includes a data analysis unit, a software development unit, and a software testing unit, and the data analysis unit, the software development unit, and the software testing unit are respectively configured to analyze the parameters collected by the data center, develop the debugging software, and test the stability of the debugging software.
Preferably, the device management module includes a software application unit and an effect analysis unit, the software application unit applies debugging software to the smart device, and the effect analysis unit is configured to perform verification analysis on a debugging effect of the debugging software.
Preferably, the device management module further includes a data transmission unit, and the data transmission unit transmits the result parameter of the debugging to a data center.
Preferably, the comprehensive control center is further connected with a simulation analysis module, the simulation analysis module comprises a model design unit, a model verification unit and a model application unit, and the model design unit, the model verification unit and the model application unit simulate parameter adjustment of the intelligent device through a mathematical model.
Preferably, the simulation analysis unit further includes a model modification unit that performs self-modification with reference to the result of the adjustment of the actual parameter of the smart device.
The working principle of the invention is as follows: the data center is used for collecting and sorting the operating parameters of the intelligent equipment, the software updating module is used for developing software according to the data collected by the data center and developing targeted parameter adjusting software, the equipment management module is used for debugging the parameters of the intelligent equipment by applying the parameter adjusting software, the data receiving unit is used for collecting the operating parameters of the intelligent equipment, the data sorting unit is used for sorting the collected parameters, the data backup unit is used for avoiding the accidental loss of the data, the data analysis unit, the software development unit and the software testing unit are respectively used for analyzing the parameters collected by the data center, developing debugging software and testing the stability of the debugging software, the software application unit is used for applying the debugging software to the intelligent equipment, the effect analysis unit is used for verifying and analyzing the debugging effect of the debugging software, and the data transmission unit is used for sending the debugging result parameters to the data center, the model design unit, the model verification unit and the model application unit simulate parameter adjustment of the intelligent equipment through a mathematical model, and the model correction unit performs self-correction according to the actual parameter adjustment result of the intelligent equipment.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Furthermore, it should be understood that although the present description refers to embodiments, not every embodiment may contain only a single embodiment, and such description is for clarity only, and those skilled in the art should integrate the description, and the embodiments may be combined as appropriate to form other embodiments understood by those skilled in the art.
Claims (8)
1. The utility model provides an intelligent equipment parameter debugging management system, includes comprehensive control center, its characterized in that: the comprehensive control center is connected with a data center, a software updating module and an equipment management module, the data center is used for collecting and sorting the operating parameters of the intelligent equipment, the software updating module carries out software development according to the data collected by the data center to develop targeted parameter adjusting software, and the equipment management module is used for debugging the parameters of the intelligent equipment by applying the parameter adjusting software.
2. The intelligent device parameter debugging management system of claim 1, wherein: the data center comprises a data receiving unit and a data sorting unit, wherein the data receiving unit is used for collecting the operating parameters of the intelligent equipment, and the data sorting unit sorts the collected parameters.
3. The intelligent device parameter debugging management system of claim 2, wherein: the data center also comprises a data backup unit, and the data backup unit is used for avoiding the accidental loss of data.
4. The intelligent device parameter debugging management system of claim 1, wherein: the software updating module comprises a data analysis unit, a software development unit and a software testing unit, wherein the data analysis unit, the software development unit and the software testing unit are respectively used for analyzing the stability of parameters collected by the data center, developing and debugging software and testing and debugging software.
5. The intelligent device parameter debugging management system of claim 1, wherein: the device management module comprises a software application unit and an effect analysis unit, the software application unit applies debugging software to the intelligent device, and the effect analysis unit is used for verifying and analyzing the debugging effect of the debugging software.
6. The intelligent device parameter debugging management system of claim 5, wherein: the equipment management module also comprises a data transmission unit, and the data transmission unit sends the debugging result parameters to the data center.
7. The intelligent device parameter debugging management system of claim 1, wherein: the comprehensive control center is further connected with a simulation analysis module, the simulation analysis module comprises a model design unit, a model verification unit and a model application unit, and the model design unit, the model verification unit and the model application unit simulate parameter adjustment of intelligent equipment through mathematical models.
8. The intelligent device parameter debugging management system of claim 7, wherein: the simulation analysis unit further comprises a model correction unit, and the model correction unit performs self-correction according to the actual parameter adjustment result of the intelligent equipment.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202011616873.7A CN112612717A (en) | 2020-12-30 | 2020-12-30 | Intelligent device parameter debugging management system |
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| CN202011616873.7A CN112612717A (en) | 2020-12-30 | 2020-12-30 | Intelligent device parameter debugging management system |
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102004671A (en) * | 2010-11-15 | 2011-04-06 | 北京航空航天大学 | Resource management method of data center based on statistic model in cloud computing environment |
| CN106483876A (en) * | 2015-09-02 | 2017-03-08 | 李涛 | A kind of energy scheduling architecture of new forms of energy data center |
| CN108021032A (en) * | 2018-01-19 | 2018-05-11 | 重庆交通职业学院 | A kind of Household intelligent management system |
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2020
- 2020-12-30 CN CN202011616873.7A patent/CN112612717A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102004671A (en) * | 2010-11-15 | 2011-04-06 | 北京航空航天大学 | Resource management method of data center based on statistic model in cloud computing environment |
| CN106483876A (en) * | 2015-09-02 | 2017-03-08 | 李涛 | A kind of energy scheduling architecture of new forms of energy data center |
| CN108021032A (en) * | 2018-01-19 | 2018-05-11 | 重庆交通职业学院 | A kind of Household intelligent management system |
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