CN107862391A - A kind of equipment operation condition test system based on cloud computing - Google Patents
A kind of equipment operation condition test system based on cloud computing Download PDFInfo
- Publication number
- CN107862391A CN107862391A CN201710982058.4A CN201710982058A CN107862391A CN 107862391 A CN107862391 A CN 107862391A CN 201710982058 A CN201710982058 A CN 201710982058A CN 107862391 A CN107862391 A CN 107862391A
- Authority
- CN
- China
- Prior art keywords
- monitoring device
- affecting parameters
- parameters information
- cloud computing
- test system
- 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
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/20—Administration of product repair or maintenance
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Economics (AREA)
- Entrepreneurship & Innovation (AREA)
- Marketing (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Strategic Management (AREA)
- Tourism & Hospitality (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Testing Of Devices, Machine Parts, Or Other Structures Thereof (AREA)
- Testing And Monitoring For Control Systems (AREA)
Abstract
The invention discloses a kind of equipment operation condition test system based on cloud computing, this method comprises the following steps：Obtain the affecting parameters information of monitoring device；Obtain the theoretical lifetime data of the monitoring device；The actual life of the monitoring device is calculated according to the affecting parameters information and the theoretical lifetime data.So, by the actual life for calculating each equipment in energy management system, user can change in advance before the equipment reaches the life-span, reach the effect of early warning, cause system entirely to be paralysed, it is necessary to when investigating maintenance when would not reach service life because of equipment, can also take a significant amount of time cost and human cost, the economic loss of whole energy management system is reduced, is that whole system is more intelligent and hommization.
Description
Technical field
The present invention relates to cloud computing equipment control technology field, and shape is run more particularly to a kind of equipment based on cloud computing
Condition test system.
Background technology
Today, the energy have turned into the indispensable fundamental of human society.On this celestial body, as the energy is increasingly tight
And environmental degradation, the energy for obtaining economic convenient environmental protection become a relation human survival and the urgent of sustainable development is asked
Topic, find and improve the solution of efficiency of energy utilization and turn into small and arrive social family, greatly being total to whole society such as enterprise and governments
Same responsibility.All kinds of water, electricity, gas equipment and classification energy consumption be industrial plants, social infrastructure and all kinds of building construction investments and
One of main composition part of daily operating cost, the configuration of rational deployment energy facilities and management and control function can significantly improve facility
With efficiency of energy utilization and reducing cost.
Energy management system uses layered distribution type system architecture, each classification energy such as electric power, combustion gas and water to building
Consumption data are acquired, handled, and analyze building energy consumption situation, realize building energy conservation application etc..Pass through energy programme, energy prison
The multiple means such as control, energy statistics, energy-consuming analysis, emphasis energy consumption equipment management, energy measurement equipment control, manage enterprise
For reason person to the energy cost proportion of enterprise, development trend has accurate grasp, and the energy-consuming plan target of enterprise is decomposed
To each production division workshop, make energy-conservation responsibility clear and definite, promote the healthy and stable development of enterprise.
It can be used in energy management system and arrive considerable electric equipment, the service life of these equipment can influence system
Smooth operating.Although each equipment is respectively provided with the theoretical service life of oneself, user is not aware that when in use
The equipment is that what degree used on earth, it is not known that its degree of fatigue etc..So, even if knowing its theoretical service life,
Successfully continuously operating for system is not ensured that.
Therefore, a kind of method of testing and system for being able to know that equipment actual life is needed badly.
The content of the invention
It is an object of the present invention to the equipment of cloud computing in use, providing a kind of reality being able to know that using equipment
The service life either actual life method of testing and system of access times or the cloud computing equipment of fatigue period.
According to an aspect of the invention, there is provided a kind of equipment operation condition test system based on cloud computing, as follows
Step：
Obtain the affecting parameters information of monitoring device；
Obtain the theoretical lifetime data of the monitoring device；
The actual life of the monitoring device is calculated according to the affecting parameters information and the theoretical lifetime data.
In one of the embodiments, the affecting parameters information includes the operating temperature of the monitoring device, input electricity
Flow, output current, it is one or more in usage time and oil temperature.
In one of the embodiments, the step of affecting parameters information of the acquisition monitoring device, is according to user's
Input affecting parameters information described in acquisition of information.
In one of the embodiments, the step of affecting parameters information of the acquisition monitoring device, is according to collector
Obtain the affecting parameters information.
In one of the embodiments, monitor the run time of the monitoring device in real time according to the collector, and tire out
Meter calculates the usage time for adding and obtaining the monitoring device.
In one of the embodiments, it is described according to the affecting parameters information and described in the theoretical lifetime data calculates
The step of actual life of monitoring device, including：
The deviation data of the monitoring device is calculated according to the affecting parameters information；
The actual life of the monitoring device is calculated according to the deviation data and the theoretical lifetime data.
According to another aspect of the present invention, a kind of energy management system equipment actual life test system is also provided, wrapped
Include：
First acquisition module, for obtaining the affecting parameters information of monitoring device；
Memory, for storing the theoretical lifetime data of the monitoring device；
Second acquisition module, for obtaining the theoretical lifetime data of the monitoring device；And
Computing module, for calculating the monitoring device according to the affecting parameters information and the theoretical lifetime data
Actual life.
In one of the embodiments, the system also includes：
Reminding module, for sending prompt message to user according to the actual life, the prompt message includes
Fatigue strength, remaining life or the remaining access times information of the monitoring device.
In one of the embodiments, the first acquisition module is user input data acquisition module, according to the input of user
Affecting parameters information described in acquisition of information；Or
First acquisition module is data acquisition unit, and the affecting parameters information is obtained according to the data acquisition unit.
In one of the embodiments, the computing module includes：
Deviation computing unit, for calculating the deviation data of the monitoring device according to the affecting parameters information；
Actual life computing unit, set for calculating the monitoring according to the deviation data and the theoretical lifetime data
Standby actual life.
So, according to the equipment operation condition test system based on cloud computing of the disclosure, by obtaining monitoring device
The theoretical lifetime data of affecting parameters information and monitoring device, monitoring is calculated according to affecting parameters information and theoretical lifetime data
The actual life of equipment.So, by calculating the actual life of each equipment in cloud computing system, user can be
The equipment reaches to be changed before the life-span in advance, reached the effect of early warning, cause when would not reach service life because of equipment be
System is entirely paralysed, it is necessary to when investigating maintenance, can also be taken a significant amount of time cost and human cost, be reduced whole cloud computing system
Economic loss, it is that whole system is more intelligent and hommization.
Brief description of the drawings
Fig. 1 shows the flow chart of cloud computing system equipment actual life method of testing according to an embodiment of the invention；
Fig. 2 shows the module signal of cloud computing system equipment actual life test system according to an embodiment of the invention
Figure.
Embodiment
The preferred embodiment of the disclosure is more fully described below with reference to accompanying drawings.Although the disclosure is shown in accompanying drawing
Preferred embodiment, however, it is to be appreciated that may be realized in various forms the disclosure without the embodiment party that should be illustrated here
Formula is limited.On the contrary, these embodiments are provided so that the disclosure is more thorough and complete, and can be by the disclosure
Scope is intactly communicated to those skilled in the art.
Considerable electric equipment, the service life meeting of these equipment are arrived as it was previously stated, can be used in cloud computing system
The smooth operating of influence system.Although each equipment is respectively provided with the theoretical service life of oneself, user is when in use
It is not aware that the equipment is that what degree used on earth, it is not known that its degree of fatigue etc..So, even if knowing its theoretical use
In the life-span, successfully continuously operating for system is not ensured that yet.And according to the cloud computing system equipment actual life of the disclosure
Method of testing and system, by obtaining the affecting parameters information of monitoring device and the theoretical lifetime data of monitoring device, according to
Affecting parameters information and theoretical lifetime data calculate the actual life of monitoring device.So, by calculating cloud computing system
In each equipment actual life, user can change in advance before the equipment reaches the life-span, reach the effect of early warning,
Cause system entirely to be paralysed, it is necessary to when investigating maintenance when would not reach service life because of equipment, can also take a significant amount of time
Cost and human cost, the economic loss of whole energy management system is reduced, be that whole system is more intelligent and hommization.
1-2 specifically describes embodiments of the invention below with reference to accompanying drawings.
Fig. 1 shows the flow chart of cloud computing system equipment actual life method of testing according to an embodiment of the invention.
A kind of cloud computing system equipment actual life method of testing 100, this method 100 comprises the following steps：
Step S120：Obtain the affecting parameters information of monitoring device.
It can be used in cloud computing system and arrive considerable electric equipment, the service life of these equipment can influence system
Smoothly operating.Because the actual life that the equipment is detected in multiple equipment within the system is very necessary.Wherein, it is above-mentioned
Affecting parameters information includes the operating temperature of the monitoring device, input current, output current, one in usage time and oil temperature
Kind is a variety of.
Step S140：Obtain the theoretical lifetime data of the monitoring device.
Each equipment is respectively provided with the theoretical service life of oneself, wherein, the theoretical lifetime data can be stored in storage
In device, directly obtain during use.
Wherein it is possible to the affecting parameters information according to the input acquisition of information of user, can also be obtained according to collector
The affecting parameters information.For example, monitor the run time of the monitoring device in real time according to collector, and cumulative calculation add and
Obtain the usage time of the monitoring device.
Step S160：The actual use longevity of the monitoring device is calculated according to affecting parameters information and theoretical lifetime data
Life.
Wherein, the actual use of the monitoring device is calculated according to the affecting parameters information and the theoretical lifetime data
The step of life-span, it may include steps of：
The deviation data of the monitoring device is calculated according to the affecting parameters information；
The actual life of the monitoring device is calculated according to the deviation data and the theoretical lifetime data.
So, the actual life of the equipment is just obtained, the actual life makes with actual use number, residue
Fatigue exponent with the number equipment is related, you can should with calculating remaining access times according to the actual life
The fatigue exponent of equipment is related.So as to which, user is known that time that the equipment can also use according to the information, so as to timely
Change, prevent systemic breakdown from resulting in greater loss.
According to the cloud computing system equipment actual life method of testing 100 of the disclosure, by the influence for obtaining monitoring device
The theoretical lifetime data of parameter information and monitoring device, monitoring device is calculated according to affecting parameters information and theoretical lifetime data
Actual life.So, by calculating the actual life of each equipment in cloud computing system, user can set at this
Changed in advance for before reaching the life-span, reach the effect of early warning, cause system whole when would not reach service life because of equipment
Individual paralysis can also take a significant amount of time cost and human cost, reduce the warp of whole energy management system, it is necessary to when investigating maintenance
Ji loss, it is that whole system is more intelligent and hommization.
Fig. 2 shows the module signal of the equipment operation condition test system of cloud computing according to an embodiment of the invention
Figure.
With reference to figure 2, a kind of cloud computing system equipment actual life test system 200, the system 200 includes the first collection mould
Block 210, memory 220, the second acquisition module 230 and computing module 240.First acquisition module 210 obtains the shadow of monitoring device
Parameter information is rung, memory 220 stores the theoretical lifetime data of the monitoring device, and the second acquisition module 230 obtains the prison
The theoretical lifetime data of measurement equipment, computing module 240 calculate the monitoring according to affecting parameters information and theoretical lifetime data and set
Standby actual life.
Wherein, above-mentioned affecting parameters information includes the operating temperature of the monitoring device, input current, output current, makes
With one or more in time and oil temperature.
With reference to figure 2, the cloud computing system equipment actual life test system 200 also includes reminding module 250.Reminding module
250 send prompt message according to the actual life to user, and the prompt message includes the fatigue of the monitoring device
Intensity, remaining life or remaining access times information.So as to which user is known that the equipment can also make according to the information
Time, to change in time, prevent systemic breakdown from resulting in greater loss.
Wherein, above-mentioned first acquisition module 210 can be user input data acquisition module, according to the input information of user
Obtain the affecting parameters information.Or first acquisition module 210 can be data acquisition unit, according to the data acquisition unit
Obtain the affecting parameters information.For example, monitor the run time of the monitoring device in real time according to collector, and cumulative calculation
Add and obtain the usage time of the monitoring device.
Wherein, above-mentioned computing module 240 can include：Deviation computing unit and actual life computing unit (not shown).
Deviation computing unit calculates the deviation data of the monitoring device, actual life computing unit root according to the affecting parameters information
The actual life of the monitoring device is calculated according to the deviation data and the theoretical lifetime data.So, just obtain
The actual life of the equipment, the actual life and actual use number, the remaining access times equipment it is tired
Labor correlation of indices, you can related to calculate the fatigue exponent of the remaining access times equipment according to the actual life.
So as to which, user is known that time that the equipment can also use according to the information, to change in time, prevent systemic breakdown from making
Cheng Geng great loss.
According to the cloud computing system equipment actual life test system 200 of the disclosure, by the influence for obtaining monitoring device
The theoretical lifetime data of parameter information and monitoring device, monitoring device is calculated according to affecting parameters information and theoretical lifetime data
Actual life.So, by calculating the actual life of each equipment in cloud computing system, user can set at this
Changed in advance for before reaching the life-span, reach the effect of early warning, cause system whole when would not reach service life because of equipment
Individual paralysis can also take a significant amount of time cost and human cost, reduce the warp of whole energy management system, it is necessary to when investigating maintenance
Ji loss, it is that whole system is more intelligent and hommization.
Flow chart and block diagram in accompanying drawing show the body in the cards of the system of multiple embodiments according to the present invention
System structure, function and operation.At this point, each square frame in flow chart or block diagram can represent a module, program segment or
A part for code, a part for the module, program segment or code include one or more and are used to realize defined logic work(
The executable instruction of energy.It should also be noted that at some as in the realization replaced, the function of being marked in square frame can also be with not
The order for being same as being marked in accompanying drawing occurs.For example, two continuous square frames can essentially perform substantially in parallel, they have
When can also perform in the opposite order, this is depending on involved function.It is also noted that in block diagram and/or flow chart
Each square frame and block diagram and/or the square frame in flow chart combination, the special of function or operation as defined in performing can be used
Hardware based system realize, or can be realized with the combination of specialized hardware and computer instruction.
It is described above various embodiments of the present invention, described above is exemplary, and non-exclusive, and
It is not limited to disclosed each embodiment.In the case of without departing from the scope and spirit of illustrated each embodiment, for this skill
Many modifications and changes will be apparent from for the those of ordinary skill in art field.The selection of term used herein, purport
The principle of each embodiment, practical application or improvement to the technology in market are best being explained, or is making the art
Other those of ordinary skill are understood that each embodiment disclosed herein.
Claims (10)
1. a kind of equipment operation condition test system based on cloud computing, it is characterised in that comprise the following steps：
Obtain the affecting parameters information of monitoring device；
Obtain the theoretical lifetime data of the monitoring device；
The actual life of the monitoring device is calculated according to the affecting parameters information and the theoretical lifetime data.
2. the equipment operation condition test system according to claim 1 based on cloud computing, it is characterised in that the influence
Parameter information includes the operating temperature of the monitoring device, input current, output current, it is a kind of in usage time and oil temperature or
It is a variety of.
3. the equipment operation condition test system according to claim 2 based on cloud computing, it is characterised in that the acquisition
The step of affecting parameters information of monitoring device, it is the affecting parameters information according to the input acquisition of information of user.
4. the equipment operation condition test system according to claim 2 based on cloud computing, it is characterised in that the acquisition
The step of affecting parameters information of monitoring device, it is that the affecting parameters information is obtained according to collector.
5. the equipment operation condition test system according to claim 4 based on cloud computing, it is characterised in that according to described
Collector monitors the run time of the monitoring device in real time, and when cumulative calculation adds and obtains the use of the monitoring device
Between.
6. the equipment operation condition test system according to claim 1 or 2 based on cloud computing, it is characterised in that described
The step of actual life of the monitoring device is calculated according to the affecting parameters information and the theoretical lifetime data, bag
Include：
The deviation data of the monitoring device is calculated according to the affecting parameters information；
The actual life of the monitoring device is calculated according to the deviation data and the theoretical lifetime data.
A kind of 7. equipment operation condition test system based on cloud computing, it is characterised in that including：
First acquisition module, for obtaining the affecting parameters information of monitoring device；
Memory, for storing the theoretical lifetime data of the monitoring device；
Second acquisition module, for obtaining the theoretical lifetime data of the monitoring device；And
Computing module, for calculating the reality of the monitoring device according to the affecting parameters information and the theoretical lifetime data
Service life.
8. the equipment operation condition test system according to claim 7 based on cloud computing, it is characterised in that also include：
Reminding module, for sending prompt message to user according to the actual life, the prompt message includes described
Fatigue strength, remaining life or the remaining access times information of monitoring device.
9. the equipment operation condition test system according to claim 7 based on cloud computing, it is characterised in that the first collection
Module is user input data acquisition module, according to affecting parameters information described in the input acquisition of information of user；Or
First acquisition module is data acquisition unit, and the affecting parameters information is obtained according to the data acquisition unit.
10. the equipment operation condition test system according to claim 7 based on cloud computing, it is characterised in that the meter
Calculating module includes：
Deviation computing unit, for calculating the deviation data of the monitoring device according to the affecting parameters information；
Actual life computing unit, for calculating the monitoring device according to the deviation data and the theoretical lifetime data
Actual life.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710982058.4A CN107862391A (en) | 2017-10-20 | 2017-10-20 | A kind of equipment operation condition test system based on cloud computing |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710982058.4A CN107862391A (en) | 2017-10-20 | 2017-10-20 | A kind of equipment operation condition test system based on cloud computing |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN107862391A true CN107862391A (en) | 2018-03-30 |
Family
ID=61696742
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710982058.4A Pending CN107862391A (en) | 2017-10-20 | 2017-10-20 | A kind of equipment operation condition test system based on cloud computing |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107862391A (en) |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109061333A (en) * | 2018-06-21 | 2018-12-21 | 国网木星（北京）科技有限公司 | Energy management system equipment actual life test method and system |
| CN109357353A (en) * | 2018-09-14 | 2019-02-19 | 珠海格力电器股份有限公司 | Judgment method, system and the air-conditioning of security appliance state |
| CN110147894A (en) * | 2019-06-03 | 2019-08-20 | 东泽节能技术（苏州）有限公司 | Cloud Server, air compressor machine wearing detail the maintenance time determine method and system |
| CN110516819A (en) * | 2019-06-03 | 2019-11-29 | 东泽节能技术（苏州）有限公司 | Method, apparatus and system are determined based on the wearing detail maintenance time of cloud communication |
| CN112032031A (en) * | 2019-06-03 | 2020-12-04 | 东泽节能技术（苏州）有限公司 | Cloud data analysis method, device and system for air compressor |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20120316806A1 (en) * | 2010-06-04 | 2012-12-13 | Mingming Liu | Method and Device for Monitoring Energy Efficiency Performance of Equipment |
| CN103019190A (en) * | 2012-11-28 | 2013-04-03 | 无锡中自能源科技有限公司 | Intelligent energy motoring and analyzing method |
| CN105259847A (en) * | 2015-10-15 | 2016-01-20 | 深圳市万嘉明科技发展有限公司 | Energy management control method and system based on energy consumption historical data analysis |
| CN106291174A (en) * | 2016-07-28 | 2017-01-04 | 联想(北京)有限公司 | A kind of life-span preparation method, device, electronic equipment and server |
-
2017
- 2017-10-20 CN CN201710982058.4A patent/CN107862391A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20120316806A1 (en) * | 2010-06-04 | 2012-12-13 | Mingming Liu | Method and Device for Monitoring Energy Efficiency Performance of Equipment |
| CN103019190A (en) * | 2012-11-28 | 2013-04-03 | 无锡中自能源科技有限公司 | Intelligent energy motoring and analyzing method |
| CN105259847A (en) * | 2015-10-15 | 2016-01-20 | 深圳市万嘉明科技发展有限公司 | Energy management control method and system based on energy consumption historical data analysis |
| CN106291174A (en) * | 2016-07-28 | 2017-01-04 | 联想(北京)有限公司 | A kind of life-span preparation method, device, electronic equipment and server |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109061333A (en) * | 2018-06-21 | 2018-12-21 | 国网木星（北京）科技有限公司 | Energy management system equipment actual life test method and system |
| CN109357353A (en) * | 2018-09-14 | 2019-02-19 | 珠海格力电器股份有限公司 | Judgment method, system and the air-conditioning of security appliance state |
| CN110147894A (en) * | 2019-06-03 | 2019-08-20 | 东泽节能技术（苏州）有限公司 | Cloud Server, air compressor machine wearing detail the maintenance time determine method and system |
| CN110516819A (en) * | 2019-06-03 | 2019-11-29 | 东泽节能技术（苏州）有限公司 | Method, apparatus and system are determined based on the wearing detail maintenance time of cloud communication |
| CN112032031A (en) * | 2019-06-03 | 2020-12-04 | 东泽节能技术（苏州）有限公司 | Cloud data analysis method, device and system for air compressor |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107862391A (en) | A kind of equipment operation condition test system based on cloud computing | |
| CN106771448A (en) | A kind of electric energy meter shunting anti-electricity-theft early warning analysis method of analysis | |
| CN111224469A (en) | Transmission line loss monitoring and early warning method, device, equipment and medium | |
| CN113191687B (en) | Elastic power distribution network panoramic information visualization method and system | |
| KR20180070842A (en) | Peak power detection and alarm system | |
| CN106405280B (en) | A kind of intelligent substation on-line monitoring parameter trend method for early warning | |
| CN105391168A (en) | Transformer load real-time control method | |
| CN203069670U (en) | Intelligent electric meter having function of monitoring power supply reliability and voltage qualified rate | |
| CN106849064B (en) | Regional power grid load prediction management system based on meteorological data | |
| CN106841726A (en) | A kind of decompression anti-electricity-theft early warning analysis method of disconnected facies analysis | |
| CN115860477A (en) | Pollutant real-time emission monitoring method and system based on electric power data | |
| CN104991218A (en) | System monitoring operation state of electric energy metering device | |
| CN117422004B (en) | Carbon potential prediction method and system based on neural network | |
| CN211406052U (en) | Wisdom environmental protection remote power consumption monitored control system | |
| CN102682212A (en) | Reliability measurement method for mechanical and electrical product | |
| CN108549980B (en) | Panoramic visual-based power quality monitoring method and system and computer equipment | |
| CN109061333A (en) | Energy management system equipment actual life test method and system | |
| CN104050246B (en) | The preprocess method of power transmission and transformation equipment state Monitoring Data and system | |
| CN105184471A (en) | Method and device for online monitoring of project construction period | |
| CN112507290B (en) | Power distribution equipment fault probability pre-judging method, device and storage medium | |
| CN109471359A (en) | Energy management system carbon emission amount monitoring method and system | |
| CN114372808A (en) | KNN neural network algorithm-based power consumption abnormity classification method | |
| CN202633940U (en) | Energy monitoring device for single device and with load trend prediction | |
| Krishnaswamy et al. | Embedded Sensor and IoT Technology based Substation Monitoring and Control System | |
| CN112329911A (en) | Charging abnormity determining method and device |
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 | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20180330 |
|
| WD01 | Invention patent application deemed withdrawn after publication |