CN114003175B - Air conditioner and control system thereof - Google Patents
Air conditioner and control system thereof Download PDFInfo
- Publication number
- CN114003175B CN114003175B CN202111289861.2A CN202111289861A CN114003175B CN 114003175 B CN114003175 B CN 114003175B CN 202111289861 A CN202111289861 A CN 202111289861A CN 114003175 B CN114003175 B CN 114003175B
- Authority
- CN
- China
- Prior art keywords
- data
- priority
- stored
- equipment
- module
- 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.)
- Active
Links
- 238000004458 analytical method Methods 0.000 claims abstract description 11
- 238000007405 data analysis Methods 0.000 claims description 2
- 230000000875 corresponding effect Effects 0.000 claims 7
- 230000002596 correlated effect Effects 0.000 claims 1
- 238000013500 data storage Methods 0.000 description 2
- 238000004364 calculation method Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 238000004904 shortening Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/06—Digital input from, or digital output to, record carriers, e.g. RAID, emulated record carriers or networked record carriers
- G06F3/0601—Interfaces specially adapted for storage systems
- G06F3/0602—Interfaces specially adapted for storage systems specifically adapted to achieve a particular effect
- G06F3/0614—Improving the reliability of storage systems
- G06F3/0616—Improving the reliability of storage systems in relation to life time, e.g. increasing Mean Time Between Failures [MTBF]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/06—Digital input from, or digital output to, record carriers, e.g. RAID, emulated record carriers or networked record carriers
- G06F3/0601—Interfaces specially adapted for storage systems
- G06F3/0602—Interfaces specially adapted for storage systems specifically adapted to achieve a particular effect
- G06F3/062—Securing storage systems
- G06F3/0623—Securing storage systems in relation to content
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/06—Digital input from, or digital output to, record carriers, e.g. RAID, emulated record carriers or networked record carriers
- G06F3/0601—Interfaces specially adapted for storage systems
- G06F3/0628—Interfaces specially adapted for storage systems making use of a particular technique
- G06F3/0629—Configuration or reconfiguration of storage systems
- G06F3/0631—Configuration or reconfiguration of storage systems by allocating resources to storage systems
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/06—Digital input from, or digital output to, record carriers, e.g. RAID, emulated record carriers or networked record carriers
- G06F3/0601—Interfaces specially adapted for storage systems
- G06F3/0628—Interfaces specially adapted for storage systems making use of a particular technique
- G06F3/0646—Horizontal data movement in storage systems, i.e. moving data in between storage devices or systems
- G06F3/0652—Erasing, e.g. deleting, data cleaning, moving of data to a wastebasket
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Human Computer Interaction (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Air Conditioning Control Device (AREA)
Abstract
The invention relates to an air conditioner and a control system thereof. The operation parameter collection module is used for obtaining the operation parameters of the equipment; the operation parameter analysis module is used for dividing the equipment into a plurality of idle grades according to the acquired operation parameters of the equipment; the storage control module is used for acquiring data to be stored, determining a data type corresponding to the data to be stored, determining a data priority according to the data type, and determining whether the data to be stored is stored in the storage module or not according to the data priority and the equipment idle level; the storage module is used for storing data to be stored. The erasing times of the storage module are obviously reduced, and the condition that a large amount of data is stored simultaneously when equipment runs at a peak is avoided.
Description
Technical Field
The invention relates to the technical field of air conditioner control, in particular to a control system and an air conditioner for data storage according to data priority and equipment idle level.
Background
When developing electronic products, it is often necessary to save certain data after power failure, and these data are typically saved using FLASH, which is erasable for a limited number of times, typically around 10 ten thousand times. As a multi-split central air conditioner controller product, the parameters of each air conditioner are relatively large, and then a plurality of problems are caused:
1. the air conditioner parameters are changed frequently, and the storage times are increased.
2. The large amount of data is stored once consuming excessive cpu resources.
3. The service life of FLASH is shortened, and the maintenance cost of the product is increased.
The service life of the memory of the controller is directly related to the erasing times, and the data are frequently changed according to the service requirement, so that the repeated operation of the data on the memory not only shortens the service life of the memory, but also influences the operation flow degree or the communication reliability of a user.
Disclosure of Invention
The invention provides an air conditioner and a control system thereof, which solve the technical problems of shortening the service life of a memory by a plurality of times of storage, and high conflict between large storage data volume and high CPU utilization rate in the prior art.
In order to achieve the above purpose, the invention adopts the following technical scheme:
a control system, comprising:
the operation parameter collection module is used for obtaining the operation parameters of the equipment;
the operation parameter analysis module is used for dividing the equipment into a plurality of idle grades according to the acquired operation parameters of the equipment;
the storage control module is used for acquiring data to be stored, determining a data type corresponding to the data to be stored, determining a data priority according to the data type, and determining whether the data to be stored is stored in the storage module according to the data priority and the equipment idle level;
and the storage module is used for storing the data to be stored.
An air conditioner comprising the control system.
Compared with the prior art, the technical scheme of the invention has the following technical effects: the control system comprises an operation parameter collection module, an operation parameter analysis module, a storage control module and a storage module. The operation parameter collection module is used for obtaining the operation parameters of the equipment; the operation parameter analysis module is used for dividing the equipment into a plurality of idle grades according to the acquired operation parameters of the equipment; the storage control module is used for acquiring data to be stored, determining a data type corresponding to the data to be stored, determining a data priority according to the data type, and determining whether the data to be stored is stored in the storage module or not according to the data priority and the equipment idle level; the storage module is used for storing data to be stored. The invention collects the equipment operation parameters to form records, analyzes the equipment operation parameters, establishes an equipment operation learning model through analysis, classifies the stored data according to the storage priority, stores the data when the equipment is idle, has low storage priority, can store the data when the equipment is busy, obviously reduces the erasing times of the storage module, and avoids the condition of simultaneously storing a large amount of data when the equipment is in a peak operation.
The air conditioner adopts the control system to classify the stored data, so as to prevent the data from frequently erasing the memory; calculating the operation rule of the controller through data learning, and grading the idle degree of the equipment; the failure rate of the memory device is reduced.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic block diagram of an embodiment of the present invention.
FIG. 2 is a flow chart of an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
In the description of the present invention, it should be noted that, unless explicitly specified and limited otherwise, the terms "mounted," "connected," and "connected" are to be construed broadly, and may be either fixedly connected, detachably connected, or integrally connected, for example; can be directly connected or indirectly connected through an intermediate medium. The specific meaning of the above terms in the present invention will be understood in specific cases by those of ordinary skill in the art. In the description of the above embodiments, particular features, structures, materials, or characteristics may be combined in any suitable manner in any one or more embodiments or examples.
The terms "second," "second," and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include one or more such feature. In the description of the present invention, unless otherwise indicated, the meaning of "a plurality" is two or more.
As shown in fig. 1, a control system includes an operation parameter collection module, an operation parameter analysis module, a storage control module, and a storage module, and the above modules are specifically described below.
The operation parameter collection module is used for obtaining the operation parameters of the equipment.
The operation parameter analysis module is used for dividing the equipment into a plurality of idle grades according to the acquired operation parameters of the equipment.
The storage control module is used for acquiring data to be stored, determining a data type corresponding to the data to be stored, determining a data priority according to the data type, and determining whether the data to be stored is stored in the storage module or not according to the data priority and the equipment idle level.
And the storage module is used for storing the data to be stored.
The data priority comprises priority 1, priority 2, … and priority n, wherein the priority 1 is more than the priority 2 is more than …, and the priority n is more than the priority 2.
The data priority corresponding to the data type is determined in advance and written into the program in advance.
Or, the control system further comprises a setting module for setting the data priority according to the requirement.
And classifying the data and dividing the storage priority according to the urgency degree and the importance of the data.
The present embodiment is described taking the example that the device priority includes 4 levels, as shown in the following table:
| data type | Storage priority |
| Data type 1 | Priority 1 |
| Data type 2 | Priority 2 |
| Data type 3 | Priority 3 |
| Data type 4 | Priority 4 |
In this embodiment, the device operation parameters acquired by the operation parameter collection module at least include a CPU usage rate, a UI operation parameter, and a communication rate parameter.
The device idle ranks include rank 1, rank 2, …, and rank n, and the rank size is positively related to the degree of idle, i.e., rank n is the most idle and rank 1 is the most busy.
The classification of the device idle level is based on device operating parameters such as: the magnitudes of the CPU usage, UI operation parameters, and communication rate parameters are divided. And carrying out threshold division on the parameters for each equipment idle level, and determining the level according to the threshold range to which the parameters belong.
In order to simplify data processing, the general operation parameter analysis module performs data analysis once at intervals to obtain the equipment idle level corresponding to the time period or the time point. The device idle level in this embodiment includes a device idle level corresponding to a plurality of time periods or time points, and the device idle level includes 4 levels (level 1, level 2, level 3, level 4) as an example, and may form the following parameter record analysis table (device operation rule table):
| Time | UI operation | CPU utilization | Communication rate | Device idle level |
| Time point 1 | Main menu 1 | 10% | Rate 1 | Grade 4 |
| Time point 2 | Main menu 2 | 20% | Rate 2 | Grade 3 |
| Time point 3 | Main menu 3 | 30% | Rate 3 | Class 2 |
| Time point 4 | Main menu 4 | 40% | Rate 4 | Grade 1 |
| Time point 5 | Main menu 3 | 30% | Rate 3 | Class 2 |
| Time point 6 | Main menu 2 | 20% | Rate 2 | Grade 3 |
| … | … | … | … | … |
The storage control module is used for judging a time period or a time point which the data to be stored belong to when the data to be stored are acquired, acquiring the equipment idle level corresponding to the time period or the time point, and determining whether the data to be stored are stored in the storage module or not according to the data priority and the equipment idle level corresponding to the time period or the time point.
The corresponding relation between the data priority and the idle level of the device is shown in the following table:
| data priority | Device idle level |
| Priority 1 | Grade 1 |
| Priority 2 | Class 2 |
| Priority 3 | Grade 3 |
| Priority 4 | Grade 4 |
Preferably, the storage control module is configured to store the data to be stored in the storage module when the data priority corresponds to the device idle level. And waiting when the data priority and the equipment idle level do not correspond, and storing the data to be stored into the storage module until the data priority and the equipment idle level of a certain time period or time point after the data priority and the equipment idle level correspond.
For example, the storage control module obtains data to be stored at a certain time, the data priority of the data to be stored is priority 1, the time period or the time point to which the data to be stored belongs is judged to be time point 2, the equipment idle level corresponding to the time point 2 is obtained to be level 3, the priority 1 does not correspond to the level 3, and the data to be stored is stored in the storage module until the equipment idle level of the time point 4 is level 1, and at the moment, the data priority 1 corresponds to the level 1. The storage control module obtains data to be stored at a certain time, the data priority of the data to be stored is priority 3, the time period or the time point to which the data to be stored belongs is judged to be time point 2, the equipment idle level corresponding to the time point 2 is obtained to be level 3, the priority 3 corresponds to the level 3, and the data to be stored is directly stored in the storage module.
Of course, in other embodiments, in order to improve the control precision, the device idle level may also include a device idle level curve that varies along with time, where the storage control module is configured to determine a time point when the data to be stored is acquired, acquire a device idle level corresponding to the time point according to the device idle level curve, and determine whether to store the data to be stored in the storage module according to the data priority and the device idle level corresponding to the time point.
Preferably, the storage control module is configured to store the data to be stored in the storage module when the data priority corresponds to the device idle level. And waiting when the data priority and the equipment idle level do not correspond, and storing the data to be stored into the storage module until the data priority and the equipment idle level at a certain later time point correspond.
Along with the increase of the running time of the control system, the equipment idle level calculation is more and more accurate, the corresponding relation between the data storage priority and the equipment idle level is more and more reasonable, the running efficiency and the running stability of the controller are ensured, and the user experience is greatly improved.
As shown in fig. 2, the control system of the present embodiment includes the following control steps:
s1, starting.
S2, acquiring data to be stored, determining a data type corresponding to the data to be stored, and determining a data priority according to the data type.
S3, judging a time period (point) to which the data to be stored belongs when the data to be stored are acquired, and acquiring the equipment idle level corresponding to the time period (point).
The equipment idle level corresponding to the time period (point) is the acquired historical operating parameter, the operating parameter is analyzed, the equipment idle level is determined, and the equipment operating rule table is generated.
S4, judging whether the data priority corresponds to the idle level of the current equipment, if so, entering a step S5, otherwise, entering a step S4.
S5, data are saved.
S6, ending.
The embodiment also provides an air conditioner, which comprises the control system.
The foregoing is merely illustrative of the present invention, and the present invention is not limited thereto, and any changes or substitutions easily contemplated by those skilled in the art within the scope of the present invention should be included in the scope of the present invention. Therefore, the protection scope of the invention is subject to the protection scope of the claims.
Claims (8)
1. A control system, comprising:
the operation parameter collection module is used for obtaining the operation parameters of the equipment;
the operation parameter analysis module is used for dividing the equipment into a plurality of idle grades according to the acquired operation parameters of the equipment;
the storage control module is used for acquiring data to be stored, determining a data type corresponding to the data to be stored, determining a data priority according to the data type, and determining whether the data to be stored is stored in the storage module or not according to the data priority and the equipment idle level; the data priority comprises priority 1, priority 2, … and priority n, wherein the priority 1 is more than priority 2 is more than … and the priority n is more than priority n; the device idle ranks include rank 1, rank 2, …, rank n, the rank size being positively correlated with the degree of idle; the storage control module is used for storing the data to be stored into the storage module when the data priority corresponds to the equipment idle level, waiting when the data priority does not correspond to the equipment idle level, and storing the data to be stored into the storage module until the data priority corresponds to the equipment idle level of a certain time period or a time point later;
and the storage module is used for storing the data to be stored.
2. The control system according to claim 1, wherein the device idle level includes device idle levels corresponding to a plurality of time periods or time points, and the storage control module is configured to determine a time period or a time point to which the data to be stored belongs when acquiring the data to be stored and acquire the device idle level corresponding to the time period or the time point, and determine whether to store the data to be stored in the storage module according to the data priority and the device idle level corresponding to the time period or the time point.
3. The control system of claim 1, wherein the operating parameter analysis module performs data analysis once at intervals to obtain a device idle level corresponding to the time period or point.
4. The control system according to claim 1, wherein the device idle level includes a device idle level curve that varies with time, the storage control module is configured to determine a time point when data to be stored is acquired and acquire a device idle level corresponding to the time point according to the device idle level curve, and determine whether to store the data to be stored in the storage module according to the data priority and the device idle level corresponding to the time point.
5. The control system of claim 1, wherein the data priority is predetermined.
6. The control system of claim 1, wherein the control system includes a setting module for setting the data priority according to demand.
7. The control system of claim 1, wherein the device operating parameters obtained by the operating parameter collection module include at least CPU usage, UI operating parameters, and communication rate parameters.
8. An air conditioner, characterized in that the air conditioner comprises the control system of any one of claims 1-7.
Priority Applications (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111289861.2A CN114003175B (en) | 2021-11-02 | 2021-11-02 | Air conditioner and control system thereof |
| PCT/CN2022/079616 WO2023077700A1 (en) | 2021-11-02 | 2022-03-07 | Air conditioner and control system therefor |
| CN202280063818.0A CN118043769A (en) | 2021-11-02 | 2022-03-07 | Air conditioner and control system thereof |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111289861.2A CN114003175B (en) | 2021-11-02 | 2021-11-02 | Air conditioner and control system thereof |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN114003175A CN114003175A (en) | 2022-02-01 |
| CN114003175B true CN114003175B (en) | 2024-02-06 |
Family
ID=79926598
Family Applications (2)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111289861.2A Active CN114003175B (en) | 2021-11-02 | 2021-11-02 | Air conditioner and control system thereof |
| CN202280063818.0A Pending CN118043769A (en) | 2021-11-02 | 2022-03-07 | Air conditioner and control system thereof |
Family Applications After (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202280063818.0A Pending CN118043769A (en) | 2021-11-02 | 2022-03-07 | Air conditioner and control system thereof |
Country Status (2)
| Country | Link |
|---|---|
| CN (2) | CN114003175B (en) |
| WO (1) | WO2023077700A1 (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114003175B (en) * | 2021-11-02 | 2024-02-06 | 青岛海信日立空调系统有限公司 | Air conditioner and control system thereof |
Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101158849A (en) * | 2007-11-09 | 2008-04-09 | 上海可鲁系统软件有限公司 | Method for preventing industrial automation system from snowslip |
| JP2008262351A (en) * | 2007-04-11 | 2008-10-30 | Mitsubishi Electric Corp | Access control device |
| CN101534245A (en) * | 2009-04-09 | 2009-09-16 | 国电南瑞科技股份有限公司 | Transmission control method for data processing of real-time monitoring system |
| CN101960797A (en) * | 2008-02-29 | 2011-01-26 | 皇家飞利浦电子股份有限公司 | Optimizing Physiological Monitoring Based on Available But Variable Signal Quality |
| CN105897881A (en) * | 2016-04-01 | 2016-08-24 | 广东欧珀移动通信有限公司 | Method, device and mobile terminal for pushing messages in batches and time intervals according to message priority |
| US9477523B1 (en) * | 2013-06-25 | 2016-10-25 | Amazon Technologies, Inc. | Scheduling data access jobs based on job priority and predicted execution time using historical execution data |
| JP2017069889A (en) * | 2015-10-02 | 2017-04-06 | 三菱電機株式会社 | Communication controller and communication control method |
| CN108647092A (en) * | 2018-05-08 | 2018-10-12 | 深圳市零度智控科技有限公司 | Cloud storage method, cloud platform and computer readable storage medium |
| JP2018195175A (en) * | 2017-05-19 | 2018-12-06 | コニカミノルタ株式会社 | Edge computing system, communication control method, and communication control program |
| CN109819473A (en) * | 2019-01-11 | 2019-05-28 | 蜂巢能源科技有限公司 | Data transmission processing method, device and battery management system |
| CN111858604A (en) * | 2020-07-24 | 2020-10-30 | 平安证券股份有限公司 | Data storage method and device, electronic equipment and storage medium |
| CN113091228A (en) * | 2021-04-26 | 2021-07-09 | 广东美的暖通设备有限公司 | Uploading frequency control method and device for air conditioning unit data and air conditioning system |
Family Cites Families (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2007249491A (en) * | 2006-03-15 | 2007-09-27 | Fujitsu Ltd | Program, apparatus, and method for distributing batch jobs in multi-server environment |
| US7490256B2 (en) * | 2006-04-04 | 2009-02-10 | Microsoft Corporation | Identifying a target processor idle state |
| JP4542071B2 (en) * | 2006-08-28 | 2010-09-08 | 株式会社日立製作所 | Remote monitoring system, remote monitoring device, and remote monitoring method |
| JP2010204816A (en) * | 2009-03-02 | 2010-09-16 | Oki Electric Ind Co Ltd | Method, and system for managing journal data, financial terminal equipment, repeater device, and journal management server |
| WO2013078415A1 (en) * | 2011-11-22 | 2013-05-30 | Iolo Technologies, Llc | Idle detection |
| CN106230904B (en) * | 2016-07-22 | 2019-06-04 | 广东美的暖通设备有限公司 | The data uploading method and device of air-conditioner set |
| CN107203341A (en) * | 2017-05-23 | 2017-09-26 | 建荣半导体（深圳）有限公司 | Date storage method, device and flash chip based on flash memory |
| CN107608865B (en) * | 2017-07-31 | 2021-07-13 | 珠海格力电器股份有限公司 | Data storage method and device |
| US10616168B2 (en) * | 2017-11-07 | 2020-04-07 | International Business Machines Corporation | Dynamically changing message classification and priority based on IOT device publication |
| US10489085B2 (en) * | 2018-02-28 | 2019-11-26 | Micron Technology, Inc. | Latency-based scheduling of command processing in data storage devices |
| CN109612038A (en) * | 2018-11-23 | 2019-04-12 | 珠海格力电器股份有限公司 | Air conditioner parameter processing method and device, computer equipment and storage medium |
| US12164474B2 (en) * | 2019-08-06 | 2024-12-10 | Siemens Aktiengesellschaft | Method for configuring priority level, cloud platform, system, computing device, and medium |
| CN110650185A (en) * | 2019-09-04 | 2020-01-03 | 安徽省粮油信息中心(安徽粮食批发交易市场管委会) | Method and system for asynchronous uploading and delayed integration of multi-type heterogeneous data |
| CN112445614B (en) * | 2020-11-03 | 2024-06-28 | 华帝股份有限公司 | Thread data storage management method, computer equipment and storage medium |
| CN114003175B (en) * | 2021-11-02 | 2024-02-06 | 青岛海信日立空调系统有限公司 | Air conditioner and control system thereof |
-
2021
- 2021-11-02 CN CN202111289861.2A patent/CN114003175B/en active Active
-
2022
- 2022-03-07 WO PCT/CN2022/079616 patent/WO2023077700A1/en active Application Filing
- 2022-03-07 CN CN202280063818.0A patent/CN118043769A/en active Pending
Patent Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2008262351A (en) * | 2007-04-11 | 2008-10-30 | Mitsubishi Electric Corp | Access control device |
| CN101158849A (en) * | 2007-11-09 | 2008-04-09 | 上海可鲁系统软件有限公司 | Method for preventing industrial automation system from snowslip |
| CN101960797A (en) * | 2008-02-29 | 2011-01-26 | 皇家飞利浦电子股份有限公司 | Optimizing Physiological Monitoring Based on Available But Variable Signal Quality |
| CN101534245A (en) * | 2009-04-09 | 2009-09-16 | 国电南瑞科技股份有限公司 | Transmission control method for data processing of real-time monitoring system |
| US9477523B1 (en) * | 2013-06-25 | 2016-10-25 | Amazon Technologies, Inc. | Scheduling data access jobs based on job priority and predicted execution time using historical execution data |
| JP2017069889A (en) * | 2015-10-02 | 2017-04-06 | 三菱電機株式会社 | Communication controller and communication control method |
| CN105897881A (en) * | 2016-04-01 | 2016-08-24 | 广东欧珀移动通信有限公司 | Method, device and mobile terminal for pushing messages in batches and time intervals according to message priority |
| JP2018195175A (en) * | 2017-05-19 | 2018-12-06 | コニカミノルタ株式会社 | Edge computing system, communication control method, and communication control program |
| CN108647092A (en) * | 2018-05-08 | 2018-10-12 | 深圳市零度智控科技有限公司 | Cloud storage method, cloud platform and computer readable storage medium |
| CN109819473A (en) * | 2019-01-11 | 2019-05-28 | 蜂巢能源科技有限公司 | Data transmission processing method, device and battery management system |
| CN111858604A (en) * | 2020-07-24 | 2020-10-30 | 平安证券股份有限公司 | Data storage method and device, electronic equipment and storage medium |
| CN113091228A (en) * | 2021-04-26 | 2021-07-09 | 广东美的暖通设备有限公司 | Uploading frequency control method and device for air conditioning unit data and air conditioning system |
Non-Patent Citations (2)
| Title |
|---|
| "A Smart Background Scheduler for Storage Systems";Maher Kachmar 等;《IEEE》;第1-8页 * |
| "面向工业自动化应用的时间敏感网络调度机制研究";孙锐;《中国优秀硕士学位论文全文数据库(信息科技辑)》(第2021年第2期);第I139-239页正文第9-21页 * |
Also Published As
| Publication number | Publication date |
|---|---|
| WO2023077700A1 (en) | 2023-05-11 |
| CN118043769A (en) | 2024-05-14 |
| CN114003175A (en) | 2022-02-01 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN114764600B (en) | Life prediction method, device and electronic equipment for new energy vehicle battery pack | |
| CN112367384B (en) | Kafka cluster-based dynamic speed limiting method and device and computer equipment | |
| CN114610559A (en) | Equipment operation environment evaluation method, judgment model training method and electronic equipment | |
| US12309623B2 (en) | Method for managing proper operation of base station and system applying the method | |
| CN114003175B (en) | Air conditioner and control system thereof | |
| CN115001057B (en) | Composite micro energy system and energy control method, device and storage medium thereof | |
| KR102706405B1 (en) | Status Output System | |
| CN118193132A (en) | Intelligent cloud primary cost optimization method and system and storage medium | |
| US9791911B2 (en) | Determining whether a change in power usage is abnormal when power usage exceeds a threshold based on additional metrics of components in an electronic device | |
| CN113868953A (en) | Multi-unit operation optimization method, device and system in industrial system and storage medium | |
| CN115291110B (en) | Pile aging prediction method based on feature parameter extraction and aging experience library construction | |
| CN112232719A (en) | Index quantitative scoring method, computer equipment and storage medium | |
| CN118362895A (en) | Battery warning method, device, electronic device and readable storage medium | |
| CN114720128B (en) | Electromagnetic bearing control method, device and system | |
| CN115078863B (en) | Fault diagnosis method and device for charging equipment and vehicle | |
| CN117454043A (en) | Loss early warning method, device, equipment and storage medium for user account | |
| CN115905720A (en) | A method for recommending equipment combination schemes for combat missions | |
| CN118469749B (en) | Rail transit communication power supply equipment health degree evaluation method, device and controller | |
| CN113496331A (en) | Distribution site abnormality detection method, distribution site abnormality detection device, storage medium, and electronic apparatus | |
| CN117228021B (en) | Unmanned aerial vehicle charging and discharging adjustment method and system for identifying sorghum pests | |
| CN119030803B (en) | Network security management method and system based on big data model | |
| CN116155693A (en) | Early warning information determination method and device of network index, server and storage medium | |
| CN119294769B (en) | Deployment method, device and computer equipment of all-vanadium liquid flow battery energy storage system | |
| CN117519913B (en) | Method and system for elastically telescoping scheduling of container memory resources | |
| CN119556140A (en) | Power battery self-discharge rate evaluation method, device and equipment based on big data |
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 | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |