CN113626305A - Debugging method and debugging system of non-invasive load identification algorithm - Google Patents
Debugging method and debugging system of non-invasive load identification algorithm Download PDFInfo
- Publication number
- CN113626305A CN113626305A CN202110695572.6A CN202110695572A CN113626305A CN 113626305 A CN113626305 A CN 113626305A CN 202110695572 A CN202110695572 A CN 202110695572A CN 113626305 A CN113626305 A CN 113626305A
- Authority
- CN
- China
- Prior art keywords
- embedded
- debugging
- steps
- load
- consumption data
- 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.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 56
- 230000008569 process Effects 0.000 claims abstract description 17
- 238000012545 processing Methods 0.000 claims description 15
- 230000005611 electricity Effects 0.000 claims description 14
- 238000012544 monitoring process Methods 0.000 abstract description 6
- 238000011835 investigation Methods 0.000 abstract description 4
- 230000007547 defect Effects 0.000 abstract description 2
- 230000009286 beneficial effect Effects 0.000 abstract 1
- 230000006872 improvement Effects 0.000 description 17
- 238000007726 management method Methods 0.000 description 4
- 238000013024 troubleshooting Methods 0.000 description 4
- 238000011161 development Methods 0.000 description 3
- 206010063385 Intellectualisation Diseases 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012827 research and development Methods 0.000 description 2
- 230000004397 blinking Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 238000012806 monitoring device Methods 0.000 description 1
- 238000002054 transplantation Methods 0.000 description 1
Images
Classifications
-
- 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
-
- 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
-
- 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
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Theoretical Computer Science (AREA)
- Economics (AREA)
- Physics & Mathematics (AREA)
- Human Resources & Organizations (AREA)
- General Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- Tourism & Hospitality (AREA)
- Quality & Reliability (AREA)
- Health & Medical Sciences (AREA)
- Marketing (AREA)
- Strategic Management (AREA)
- Operations Research (AREA)
- General Engineering & Computer Science (AREA)
- Computer Hardware Design (AREA)
- Entrepreneurship & Innovation (AREA)
- Public Health (AREA)
- Water Supply & Treatment (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Debugging And Monitoring (AREA)
- Test And Diagnosis Of Digital Computers (AREA)
Abstract
The invention belongs to the technical field of intelligent power utilization management, and particularly relates to a debugging method and a debugging system of a non-invasive load identification algorithm. Aiming at the defect that the existing non-invasive power load monitoring technology is difficult to check when results are inconsistent when the PC system is transferred to an embedded system, the invention adopts the following technical scheme: a debugging method of a non-intrusive load identification algorithm comprises the following steps: step one, collecting power consumption data; step two, obtaining a PC terminal identification result and obtaining an embedded terminal identification result; and step three, sending the embedded end identification result back to the PC, comparing the PC load identification result with the embedded end identification result, and comparing the operation processes of the two systems when the two results are inconsistent. The invention has the beneficial effects that: PC end load discernment and embedding end load discernment are carried out to the power consumption data of gathering, through the contrast, can fix a position the problem point fast to promote investigation efficiency.
Description
Technical Field
The invention belongs to the technical field of intelligent power utilization management, and particularly relates to a debugging method and a debugging system of a non-invasive load identification algorithm.
Background
A non-intrusive load monitoring (NILM) system, which is to install a monitoring device at an electric power inlet, and analyze and obtain the type and operation condition of a single load in a load cluster by monitoring signals such as voltage and current at the position. The non-invasive device is only needed to be installed at the electric power inlet, so that the hardware cost is reduced, and the user acceptance is improved. The non-intrusive power load monitoring technology is an important component of a power management system and a user energy management system, and is also the direction of the intellectualization of the current power grid and the intellectualization of home management. Compared with an invasive technology, the non-invasive technology has the advantages of user-side friendliness, low economic cost, convenience in installation and maintenance and the like, and presents a good development prospect.
Compared with an embedded system, the PC system has the advantages of large memory, high operation speed, more development tools and reference examples and the like. Therefore, when the non-invasive load identification technology is implemented in the embedded system, the debugging of the algorithm is usually completed on the PC, and then the algorithm is transplanted into the embedded system. During development, a debugging system for research and development of a PC (personal computer) is built, and meanwhile, a debugging system for research and development of an embedded system is also built. When code transplantation occurs, the PC system algorithm code is executed correctly and the embedded system code is executed abnormally when debugging is performed on the same load working condition sometimes. This is due to the fact that the two systems, although the external conditions are consistent, may have inconsistent inputs to the algorithmic functions of the program. When inconsistency occurs, it is not known which step or portion the error occurs in, and all steps or portions of the embedded system need to be checked, resulting in low efficiency.
Disclosure of Invention
Aiming at the defect that the existing non-invasive power load monitoring technology is difficult to investigate when results are inconsistent when a PC system is transferred to an embedded system, the invention provides a debugging method of a non-invasive load identification algorithm, and the investigation efficiency is improved when the output results of a PC end and an embedded end are inconsistent to perform the investigation. The invention also provides a debugging system.
In order to achieve the purpose, the invention adopts the following technical scheme: a debugging method of a non-intrusive load identification algorithm comprises the following steps:
step one, collecting power consumption data and storing the power consumption data in a PC;
secondly, the collected power consumption data is used as the input of a non-invasive load identification program of the PC terminal for load identification to obtain a PC terminal identification result, and meanwhile, the collected power consumption data is sent to the embedded system at regular time and used as the input of the non-invasive load identification program of the embedded system for load identification to obtain an embedded terminal identification result;
and step three, sending the embedded end identification result back to the PC, comparing the PC load identification result with the embedded end identification result, and comparing the operation process of the PC and the embedded end when the two results are inconsistent.
The debugging method of the non-invasive load identification algorithm finishes the debugging of the algorithm on the PC end, and has more tools and high efficiency compared with the method which is directly carried out on the embedded end; in the debugging process of transferring from the PC end to the embedded end, the same electricity consumption data input is adopted for the PC end program and the embedded end program, so that when the embedded end is not identified, the difference can be quickly positioned through the comparison of the operation processes of the PC end and the embedded end, the problem is found, and the troubleshooting efficiency is improved.
As an improvement of the debugging method, in the first step, the electricity utilization data comprises voltage and current data of 128 points or 256 points of the power grid per cycle.
As an improvement of the debugging method, in the second step, the power utilization data is sent once every 20 ms. The grid frequency is 50 HZ.
As an improvement of the debugging method, in the third step, the operation process is divided into a plurality of steps or parts, the steps or the parts are compared from front to back, and when the steps or the parts are inconsistent, the steps or the parts are displayed in a distinguishing mode, so that the problem points are located quickly.
As an improvement of the debugging method, the electricity consumption data is stored as a txt file; the PC is connected with the embedded system through a USB-to-SPI port; and the embedded end identification result is sent to the PC through a serial port.
As an improvement of the debugging method, before the embedded end program is debugged, the PC end program is debugged, because the debugging of the PC end program has more available tools and great computing power, the debugging of the PC end program is quicker, and the debugged PC end program is converted into the embedded end program and stored in the embedded system.
A debugging system for a non-intrusive load recognition algorithm, the debugging system comprising:
the data acquisition unit acquires and stores power consumption data;
the PC is used for receiving and processing the power utilization data to obtain a PC end processing result;
the embedded system comprises an embedded non-invasive load identification program, receives and processes the power utilization data from the PC and sends an embedded end processing result to the PC;
the PC also stores a result display and comparison unit which compares and displays the PC end processing result and the embedded end processing result.
As an improvement of the debugging system, the electricity utilization data comprises voltage and current data of 128 points or 256 points of each cycle of the power grid.
As an improvement of the debugging system, the PC sends the power utilization data once every 20 ms.
As an improvement of the debugging system, the electricity consumption data is stored as a txt file; the PC is connected with the embedded system through a USB-to-SPI port; and the embedded end identification result is sent to the PC through a serial port.
As an improvement of the debugging system, when the outputs of the PC terminal and the embedded terminal are not consistent, the result display and comparison unit displays a step or a part on the embedded terminal different from the PC terminal.
The debugging method of the non-invasive load identification algorithm has the advantages that: the collected power utilization data are subjected to PC end load identification and embedded end load identification, and when the identification results are inconsistent, the problem points can be quickly positioned by comparing the operation processes of the PC end and the embedded end, so that the troubleshooting efficiency is improved.
Drawings
FIG. 1 is a flow chart of the steps of an embodiment of a method of debugging a non-intrusive load identification algorithm of the present invention.
Fig. 2 is a block diagram of an embodiment of the safety protection method based on non-intrusive load monitoring according to the present invention.
Detailed Description
The technical solutions of the embodiments of the present invention will be explained and explained below with reference to the drawings of the embodiments of the present invention, but the embodiments described below are only preferred embodiments of the present invention, and are not all embodiments. Other embodiments obtained by persons skilled in the art without any inventive work based on the embodiments in the embodiment belong to the protection scope of the invention.
Embodiments of debugging algorithms
Referring to fig. 1, the debugging method of the non-intrusive load identification algorithm of the present invention includes the following steps:
step one, collecting power consumption data and storing the power consumption data in a PC;
secondly, the collected power consumption data is used as the input of a non-invasive load identification program of the PC terminal for load identification to obtain a PC terminal identification result, and meanwhile, the collected power consumption data is sent to the embedded system at regular time and used as the input of the non-invasive load identification program of the embedded system for load identification to obtain an embedded terminal identification result;
and step three, sending the embedded end identification result back to the PC, comparing the PC load identification result with the embedded end identification result, and comparing the operation process of the PC and the embedded end when the two results are inconsistent.
Compared with the prior art that when the output is inconsistent or the embedded end cannot be identified, all steps or parts of the embedded end need to be checked, the debugging method of the non-invasive load identification algorithm completes the debugging of the algorithm on the PC end, and compared with the method which is directly carried out on the embedded end, the debugging method has more tools and high efficiency; in the debugging process of transferring from the PC end to the embedded end, the same electricity consumption data input is adopted for the PC end program and the embedded end program, so that when the embedded end is not identified, the difference can be quickly positioned through the comparison of the operation processes of the PC end and the embedded end, the problem is found, and the troubleshooting efficiency is improved.
As an improvement of the debugging method, in the first step, the electricity utilization data comprises voltage and current data of 128 points or 256 points of the power grid per cycle.
As an improvement of the debugging method, in the second step, the power utilization data is sent once every 20 ms. The grid frequency is 50 HZ.
As an improvement of the debugging method, in the third step, the operation process is divided into a plurality of steps or parts, the steps or the parts are compared from front to back, and when the steps or the parts are inconsistent, the steps or the parts are displayed in a distinguishing mode, so that the problem points are located quickly. The distinctive display may be a highlight, a blinking, a bolder, a color change, etc.
As an improvement of the debugging method, the electricity consumption data is stored as a txt file; the PC is connected with the embedded system through a USB-to-SPI port; and the embedded end identification result is sent to the PC through a serial port.
The working principle of the debugging method of the non-intrusive load identification algorithm is as follows: the method comprises the steps of completing debugging at a PC end, then switching an algorithm of completing debugging into an embedded end, inputting the same power consumption data at the PC end and the embedded end to perform operation identification respectively when an embedded end program is debugged, comparing operation processes of the embedded end and the PC end when an embedded end identification result is inconsistent with a PC end result (including that the embedded end is not identified), if the operation process is divided into 10 steps, the operation results of the first 5 steps are consistent, and the 6 th step is inconsistent, checking a corresponding part of the 6 th step, modifying the part and performing comparison again, so that reasons can be found rapidly.
The debugging method of the non-invasive load identification algorithm has the advantages that: PC end load discernment and embedding end load discernment are carried out simultaneously to the power consumption data of gathering, and when the recognition result was inconsistent, through the contrast, problem point can be fixed a position fast to promote investigation efficiency.
Embodiments of a debug System
Referring to fig. 2, the debugging system of the non-intrusive load identification algorithm of the present invention comprises:
the data acquisition unit acquires and stores power consumption data;
the PC is used for receiving and processing the power utilization data to obtain a PC end processing result;
the embedded system comprises an embedded non-invasive load identification program, receives and processes the power utilization data from the PC and sends an embedded end processing result to the PC;
the PC also stores a result display and comparison unit which compares and displays the PC end processing result and the embedded end processing result.
As an improvement of the debugging system, the electricity utilization data comprises voltage and current data of 128 points or 256 points of each cycle of the power grid.
As an improvement of the debugging system, the PC sends the power utilization data once every 20 ms.
As an improvement of the debugging system, the electricity consumption data is stored as a txt file; the PC is connected with the embedded system through a USB-to-SPI port; and the embedded end identification result is sent to the PC through a serial port.
As an improvement of the debugging system, when the outputs of the PC terminal and the embedded terminal are not consistent, the result display and comparison unit displays a step or a part on the embedded terminal different from the PC terminal.
The debugging method of the non-invasive load identification algorithm has the advantages that: the power utilization data acquisition system has the advantages that the result display and comparison unit is arranged, the collected power utilization data are subjected to PC end load identification and embedded end load identification at the same time, the result display and comparison unit displays and compares the acquired power utilization data, and when the identification results are inconsistent, different positions can be displayed in a distinguishing mode, so that problem points can be quickly positioned, and the troubleshooting efficiency is improved.
While the invention has been described with reference to specific embodiments thereof, it will be understood by those skilled in the art that the invention is not limited thereto but is intended to cover all modifications and equivalents as may be included within the spirit and scope of the invention. Any modification which does not depart from the functional and structural principles of the invention is intended to be included within the scope of the following claims.
Claims (10)
1. A debugging method of a non-intrusive load identification algorithm is characterized in that: the debugging method comprises the following steps:
step one, collecting power consumption data and storing the power consumption data in a PC;
secondly, the collected power consumption data is used as the input of a non-invasive load identification program of the PC terminal for load identification to obtain a PC terminal identification result, and meanwhile, the collected power consumption data is sent to the embedded system at regular time and used as the input of the non-invasive load identification program of the embedded system for load identification to obtain an embedded terminal identification result;
and step three, sending the embedded end identification result back to the PC, comparing the PC load identification result with the embedded end identification result, and comparing the operation process of the PC and the embedded end when the two results are inconsistent.
2. The method of claim 1, wherein the method comprises the steps of: in the first step, the electricity utilization data comprises voltage and current data of 128 points or 256 points of the power grid per cycle.
3. The method of claim 1, wherein the method comprises the steps of: and in the second step, the power utilization data is sent once every 20 ms.
4. The method of claim 1, wherein the method comprises the steps of: in the third step, the operation process is divided into a plurality of steps or parts, the steps or parts are compared from front to back, and when the steps or parts are inconsistent, the steps or parts are distinguished and displayed.
5. The method of claim 1, wherein the method comprises the steps of: the electricity consumption data is stored as a txt file; the PC is connected with the embedded system through a USB-to-SPI port; and the embedded end identification result is sent to the PC through a serial port.
6. A debugging system of a non-intrusive load identification algorithm is characterized in that: the debugging system comprises:
the data acquisition unit acquires and stores power consumption data;
the PC is used for receiving and processing the power utilization data to obtain a PC end processing result;
the embedded system comprises an embedded non-invasive load identification program, receives and processes the power utilization data from the PC and sends an embedded end processing result to the PC;
the PC also stores a result display and comparison unit which compares and displays the PC end processing result and the embedded end processing result.
7. The debugging system of a non-intrusive load recognition algorithm of claim 6, wherein: the electricity consumption data comprises voltage and current data of 128 points or 256 points per cycle of the power grid.
8. The debugging system of a non-intrusive load recognition algorithm of claim 6, wherein: and the PC machine sends power utilization data once every 20 ms.
9. The debugging system of a non-intrusive load recognition algorithm of claim 6, wherein: the electricity consumption data is stored as a txt file; the PC is connected with the embedded system through a USB-to-SPI port; and the embedded end identification result is sent to the PC through a serial port.
10. The debugging system of a non-intrusive load recognition algorithm of claim 6, wherein: when the outputs of the PC terminal and the embedded terminal are not consistent, the result display and comparison unit displays steps or parts on the embedded terminal different from the PC terminal in a distinguishing manner.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110695572.6A CN113626305B (en) | 2021-06-23 | 2021-06-23 | Debugging method and system of non-invasive load recognition algorithm |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110695572.6A CN113626305B (en) | 2021-06-23 | 2021-06-23 | Debugging method and system of non-invasive load recognition algorithm |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113626305A true CN113626305A (en) | 2021-11-09 |
| CN113626305B CN113626305B (en) | 2024-07-05 |
Family
ID=78378195
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110695572.6A Active CN113626305B (en) | 2021-06-23 | 2021-06-23 | Debugging method and system of non-invasive load recognition algorithm |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113626305B (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114996182A (en) * | 2022-05-23 | 2022-09-02 | 中国计量大学 | Steady state data flow output device for load recognition model training |
Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101382915A (en) * | 2008-10-23 | 2009-03-11 | 北京中星微电子有限公司 | Software debugging system and debugging method |
| CN102662835A (en) * | 2012-03-23 | 2012-09-12 | 凌阳科技股份有限公司 | Program debugging method of embedded system and embedded system |
| CN106022645A (en) * | 2016-06-07 | 2016-10-12 | 李祖毅 | Non-intruding type on-line and real-time electric power load identification method and identification system |
| WO2017012723A1 (en) * | 2015-07-20 | 2017-01-26 | Siemens Rail Automation S.A.U. | System and method for remotely debugging a device |
| CN106649165A (en) * | 2016-12-30 | 2017-05-10 | 湖南国科微电子股份有限公司 | Method for establishingcommunication connection of embedded system and PC host |
| CN106815677A (en) * | 2016-12-09 | 2017-06-09 | 国网北京市电力公司 | The recognition methods of non-intrusion type load and device |
| US20180267881A1 (en) * | 2017-03-17 | 2018-09-20 | Primax Electronics Ltd. | Debugging system and method for embedded device |
| CN110347610A (en) * | 2019-07-23 | 2019-10-18 | 中电智能科技有限公司 | A kind of embedded code debugging system and method |
| CN110554351A (en) * | 2019-09-30 | 2019-12-10 | 国网山东省电力公司电力科学研究院 | real load detection method and system of non-invasive load electric energy meter |
| CN112084113A (en) * | 2020-09-16 | 2020-12-15 | 上海创景信息科技有限公司 | Configurable automatic test method and system based on embedded simulation verification software |
| CN112671097A (en) * | 2020-12-01 | 2021-04-16 | 南京工程学院 | Non-invasive power load data acquisition and storage integrated system and method |
| CN213457149U (en) * | 2020-10-13 | 2021-06-15 | 浙江大学 | Embedded non-invasive load identification system |
-
2021
- 2021-06-23 CN CN202110695572.6A patent/CN113626305B/en active Active
Patent Citations (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101382915A (en) * | 2008-10-23 | 2009-03-11 | 北京中星微电子有限公司 | Software debugging system and debugging method |
| CN102662835A (en) * | 2012-03-23 | 2012-09-12 | 凌阳科技股份有限公司 | Program debugging method of embedded system and embedded system |
| WO2017012723A1 (en) * | 2015-07-20 | 2017-01-26 | Siemens Rail Automation S.A.U. | System and method for remotely debugging a device |
| US20170351288A1 (en) * | 2016-06-07 | 2017-12-07 | Shenzhen Zhidian Energy Technology LTD | Non-invasive online real-time electric load identification method and identification system |
| CN106022645A (en) * | 2016-06-07 | 2016-10-12 | 李祖毅 | Non-intruding type on-line and real-time electric power load identification method and identification system |
| CN106815677A (en) * | 2016-12-09 | 2017-06-09 | 国网北京市电力公司 | The recognition methods of non-intrusion type load and device |
| CN106649165A (en) * | 2016-12-30 | 2017-05-10 | 湖南国科微电子股份有限公司 | Method for establishingcommunication connection of embedded system and PC host |
| US20180267881A1 (en) * | 2017-03-17 | 2018-09-20 | Primax Electronics Ltd. | Debugging system and method for embedded device |
| CN110347610A (en) * | 2019-07-23 | 2019-10-18 | 中电智能科技有限公司 | A kind of embedded code debugging system and method |
| CN110554351A (en) * | 2019-09-30 | 2019-12-10 | 国网山东省电力公司电力科学研究院 | real load detection method and system of non-invasive load electric energy meter |
| CN112084113A (en) * | 2020-09-16 | 2020-12-15 | 上海创景信息科技有限公司 | Configurable automatic test method and system based on embedded simulation verification software |
| CN213457149U (en) * | 2020-10-13 | 2021-06-15 | 浙江大学 | Embedded non-invasive load identification system |
| CN112671097A (en) * | 2020-12-01 | 2021-04-16 | 南京工程学院 | Non-invasive power load data acquisition and storage integrated system and method |
Non-Patent Citations (1)
| Title |
|---|
| 门松;于治楼;: "一种基于伪断点的嵌入式应用软件调试方法的研究", 信息技术与信息化, no. 04, 15 August 2008 (2008-08-15) * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114996182A (en) * | 2022-05-23 | 2022-09-02 | 中国计量大学 | Steady state data flow output device for load recognition model training |
| CN114996182B (en) * | 2022-05-23 | 2024-04-26 | 中国计量大学 | Steady-state data stream output device for training load identification model |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113626305B (en) | 2024-07-05 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107633670B (en) | Acquisition abnormity diagnosis method adopting acquisition operation and maintenance knowledge base | |
| CN111985824A (en) | Non-invasive load monitoring method and monitoring equipment for intelligent ammeter box | |
| CN105425079B (en) | Washing machine based on real-time mean power frequency-domain analysis runs non-intruding discrimination method | |
| CN111382789B (en) | Power load identification method and system based on machine learning | |
| CN115267323B (en) | Line loss analysis management system | |
| CN106443433B (en) | Breaker state monitoring system and method based on opening and closing coil current | |
| CN113626305B (en) | Debugging method and system of non-invasive load recognition algorithm | |
| CN110441584A (en) | Equipment running state monitoring method, device, storage medium and system | |
| CN113406948A (en) | Fault data processing method and device, frequency converter, air conditioning equipment and storage medium | |
| CN105321039A (en) | Disconnector online monitoring data management system and method | |
| CN107643964A (en) | A kind of method of automatic batch test whole machine cabinet server performance | |
| CN103294575A (en) | Test system and test method | |
| CN208239530U (en) | A kind of test device for testing electronic isolation switch control loop | |
| CN102072976A (en) | Method and system for identifying electrical appliance state | |
| CN111813824B (en) | Method and system for automatically detecting missing report of power failure event of 10kV line outgoing line | |
| CN109885437A (en) | Baseboard management controller BMC, terminal and power-up state diagnotic module, method | |
| CN113419126B (en) | Performance parameter recording method and device, frequency converter, air conditioning equipment and storage medium | |
| CN112203315B (en) | Iron tower base station abnormity detection method and equipment | |
| CN109766227A (en) | The test method of server test system and its switch | |
| CN114282683A (en) | Early warning method and system for photovoltaic power station assembly | |
| CN113591909A (en) | Abnormality detection method, abnormality detection device, and storage medium for power system | |
| CN114037010A (en) | Method and device for identifying abnormal electric quantity data | |
| Peng et al. | Design of Energy Information Collection and Analysis Terminal with Digital Edge Computing Capabilities | |
| CN111596587A (en) | Multipurpose low-power consumption control device and method for real-time state monitoring | |
| CN201203801Y (en) | Self-diagnosis system for equipment operation failure |
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 |