CN112713659A - Electric equipment monitoring method based on edge computing technology - Google Patents
Electric equipment monitoring method based on edge computing technology Download PDFInfo
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- CN112713659A CN112713659A CN202110052179.5A CN202110052179A CN112713659A CN 112713659 A CN112713659 A CN 112713659A CN 202110052179 A CN202110052179 A CN 202110052179A CN 112713659 A CN112713659 A CN 112713659A
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 49
- 238000000034 method Methods 0.000 title claims abstract description 26
- 238000005516 engineering process Methods 0.000 title claims abstract description 15
- 230000002159 abnormal effect Effects 0.000 abstract description 4
- 230000009286 beneficial effect Effects 0.000 description 2
- 238000004364 calculation method Methods 0.000 description 2
- 238000005034 decoration Methods 0.000 description 2
- 238000012423 maintenance Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000004891 communication Methods 0.000 description 1
- 238000010924 continuous production Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000003745 diagnosis Methods 0.000 description 1
- 238000011160 research Methods 0.000 description 1
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Classifications
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00002—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by monitoring
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00032—Systems characterised by the controlled or operated power network elements or equipment, the power network elements or equipment not otherwise provided for
- H02J13/00036—Systems characterised by the controlled or operated power network elements or equipment, the power network elements or equipment not otherwise provided for the elements or equipment being or involving switches, relays or circuit breakers
- H02J13/0004—Systems characterised by the controlled or operated power network elements or equipment, the power network elements or equipment not otherwise provided for the elements or equipment being or involving switches, relays or circuit breakers involved in a protection system
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
- H04L67/125—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks involving control of end-device applications over a network
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B70/00—Technologies for an efficient end-user side electric power management and consumption
- Y02B70/30—Systems integrating technologies related to power network operation and communication or information technologies for improving the carbon footprint of the management of residential or tertiary loads, i.e. smart grids as climate change mitigation technology in the buildings sector, including also the last stages of power distribution and the control, monitoring or operating management systems at local level
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S20/00—Management or operation of end-user stationary applications or the last stages of power distribution; Controlling, monitoring or operating thereof
- Y04S20/20—End-user application control systems
- Y04S20/242—Home appliances
Abstract
The invention discloses an electric equipment monitoring method based on an edge computing technology, which comprises the following steps: s10, judging the power supply mode of the corresponding electric equipment through the gateway child node; s20, the gateway sub-node acquires monitoring data of the relative application electric equipment according to the judgment result of the power supply mode and sends the acquired monitoring data to the gateway node; and S30, the gateway node receives the monitoring data, compares the monitoring data with a preset threshold value according to a preset comparison strategy, obtains the running state information of the electric equipment according to a comparison result, and sends the running state information to the cloud server. The electric equipment monitoring method based on the edge computing technology can monitor a plurality of electric equipment in a centralized manner, and can disconnect the power supply to the electric equipment in time and send alarm information when the electric equipment is abnormal so as to protect the electric equipment; in addition, the computing load of the cloud server can be effectively reduced.
Description
Technical Field
The invention relates to an electric equipment monitoring method based on an edge computing technology.
Background
Mechanical equipment is the core of enterprise operation, and its operational reliability not only relates to enterprise's own economic benefits, but also influences the safety of other relevant enterprises, continuous production, consequently, guarantees equipment safe operation, reduces maintenance cost and improves equipment availability and receives more and more attention. Therefore, how to perform real-time online state monitoring and fast and accurate fault diagnosis on equipment becomes one of research hotspots for intelligent maintenance of the equipment in order to reduce equipment downtime, reduce life cycle cost, improve equipment availability and reduce safety risks. At present, most of monitoring modes for mechanical equipment rely on a detection device to collect data of the mechanical equipment in a one-to-one mode, the data are uploaded to a cloud server end through a gateway to be processed, if all the data are transmitted to the cloud server to be processed, when the monitoring data volume is large and the number of the monitoring equipment is large, high requirements are provided for the communication bandwidth and the computing capacity of the cloud server.
Disclosure of Invention
The invention aims to provide an electric equipment monitoring method based on an edge computing technology, which can monitor a plurality of electric equipment in a centralized manner, and can cut off power supply to the electric equipment in time and send alarm information when the electric equipment is abnormal so as to protect the electric equipment; in addition, the computing load of the cloud server can be effectively reduced.
In order to achieve the above object, the technical solution of the present invention is to design an electrical equipment monitoring method based on an edge computing technology, which is characterized by including a cloud server, a gateway node, and a plurality of gateway sub-nodes, where the gateway sub-nodes are connected to electrical equipment, and the electrical equipment monitoring method includes the following steps:
s10, judging the power supply mode of the corresponding electric equipment through the gateway child node;
s20, the gateway sub-node acquires monitoring data of the relative application electric equipment according to the judgment result of the power supply mode and sends the acquired monitoring data to the gateway node;
and S30, the gateway node receives the monitoring data, compares the monitoring data with a preset threshold value according to a preset comparison strategy, obtains the running state information of the electric equipment according to a comparison result, and sends the running state information to the cloud server.
Preferably, the monitoring data includes current data, voltage data and harmonic data.
Preferably, the power supply system of the electric equipment is a three-phase power supply system or a single-phase power supply system.
Preferably, the preset threshold includes a zero value, a standby current value and a starting current value, the starting current value is greater than the standby current value, and the standby current value is greater than the zero value; when the determination result of the power supply method is the three-phase power supply method, the step S30 includes:
comparing the current data with a zero value, a standby current value and a starting current value respectively;
if the current value of each phase is smaller than the standby current value and is larger than or equal to zero, the electric equipment is judged to be in a shutdown state;
if the current value of each phase is greater than or equal to the standby current value and less than the starting current value, judging that the electric equipment is in a standby state;
and if the current value of each phase is larger than or equal to the starting current value, judging that the electric equipment is in the running state.
Preferably, the preset threshold further includes a three-phase imbalance threshold, and when the electrical device is in an operating state, the step S30 further includes:
judging whether the electric equipment is in phase failure or not according to the collected monitoring data;
if the judgment result is that the phase-lack fault exists in the electric equipment, the power supply circuit of the electric equipment is controlled to be disconnected, and corresponding alarm information is sent to the cloud server;
if the judgment result is that the power utilization equipment has no phase failure fault, calculating a three-phase unbalance value according to the collected monitoring data, and comparing the three-phase unbalance value with a preset three-phase unbalance threshold value;
and if the three-phase unbalance value is greater than the preset three-phase unbalance threshold value, controlling a power supply circuit of the electric equipment to be disconnected, and sending corresponding alarm information to the cloud server.
The invention has the advantages and beneficial effects that: the method for monitoring the electric equipment based on the edge computing technology can monitor a plurality of electric equipment in a centralized manner, and can cut off power supply to the electric equipment in time and send alarm information when the electric equipment is abnormal so as to protect the electric equipment; in addition, the computing load of the cloud server can be effectively reduced.
Drawings
Fig. 1 is a flowchart of an electric device monitoring method based on an edge computing technique according to the present invention.
Fig. 2 is a flowchart of a preferred embodiment of a method for monitoring a powered device based on an edge computing technique according to the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made with reference to the accompanying drawings. The following examples are only for illustrating the technical solutions of the present invention more clearly, and the protection scope of the present invention is not limited thereby.
The technical scheme of the specific implementation of the invention is as follows:
as shown in fig. 1 and 2, an electrical device monitoring method based on an edge computing technology is characterized by including a cloud server, a gateway node, and a plurality of gateway sub-nodes, where the gateway sub-nodes are connected to an electrical device, and the electrical device monitoring method includes the following steps:
s10, judging the power supply mode of the corresponding electric equipment through the gateway child node;
s20, the gateway sub-node acquires monitoring data of the relative application electric equipment according to the judgment result of the power supply mode and sends the acquired monitoring data to the gateway node;
and S30, the gateway node receives the monitoring data, compares the monitoring data with a preset threshold value according to a preset comparison strategy, obtains the running state information of the electric equipment according to a comparison result, and sends the running state information to the cloud server.
The monitoring data comprises current data, voltage data and harmonic data.
The power supply mode of the electric equipment is a three-phase power supply mode or a single-phase power supply mode.
The preset threshold value comprises a zero value, a standby current value and a starting current value, wherein the starting current value is greater than the standby current value, and the standby current value is greater than the zero value; when the determination result of the power supply method is the three-phase power supply method, the step S30 includes:
comparing the current data with a zero value, a standby current value and a starting current value respectively;
if the current value of each phase is smaller than the standby current value and is larger than or equal to zero, the electric equipment is judged to be in a shutdown state;
if the current value of each phase is greater than or equal to the standby current value and less than the starting current value, judging that the electric equipment is in a standby state;
and if the current value of each phase is larger than or equal to the starting current value, judging that the electric equipment is in the running state.
The preset threshold further includes a three-phase imbalance threshold, and when the electrical device is in an operating state, the step S30 further includes:
judging whether the electric equipment is in phase failure or not according to the collected monitoring data;
if the judgment result is that the phase-lack fault exists in the electric equipment, the power supply circuit of the electric equipment is controlled to be disconnected, and corresponding alarm information is sent to the cloud server;
if the judgment result is that the power utilization equipment has no phase failure fault, calculating a three-phase unbalance value according to the collected monitoring data, and comparing the three-phase unbalance value with a preset three-phase unbalance threshold value;
and if the three-phase unbalance value is greater than the preset three-phase unbalance threshold value, controlling a power supply circuit of the electric equipment to be disconnected, and sending corresponding alarm information to the cloud server.
The invention has the advantages and beneficial effects that: the method for monitoring the electric equipment based on the edge computing technology can monitor a plurality of electric equipment in a centralized manner, and can cut off power supply to the electric equipment in time and send alarm information when the electric equipment is abnormal so as to protect the electric equipment; in addition, the computing load of the cloud server can be effectively reduced.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the technical principle of the present invention, and these modifications and decorations should also be regarded as the protection scope of the present invention.
Claims (5)
1. An electric equipment monitoring method based on an edge computing technology is characterized by comprising a cloud server, a gateway node and a plurality of gateway sub-nodes, wherein the gateway sub-nodes are connected with electric equipment, and the electric equipment monitoring method comprises the following steps:
s10, judging the power supply mode of the corresponding electric equipment through the gateway child node;
s20, the gateway sub-node acquires monitoring data of the relative application electric equipment according to the judgment result of the power supply mode and sends the acquired monitoring data to the gateway node;
and S30, the gateway node receives the monitoring data, compares the monitoring data with a preset threshold value according to a preset comparison strategy, obtains the running state information of the electric equipment according to a comparison result, and sends the running state information to the cloud server.
2. The electrical equipment monitoring method based on the edge computing technology as claimed in claim 1, wherein the monitoring data comprises current data, voltage data and harmonic data.
3. The electric equipment monitoring method based on the edge computing technology as claimed in claim 2, characterized in that the electric equipment is powered by a three-phase power supply mode or a single-phase power supply mode.
4. The electrical equipment monitoring method based on the edge computing technology as claimed in claim 3, wherein the preset threshold comprises a zero value, a standby current value and a starting current value, the starting current value is greater than the standby current value, and the standby current value is greater than the zero value; when the determination result of the power supply method is the three-phase power supply method, the step S30 includes:
comparing the current data with a zero value, a standby current value and a starting current value respectively;
if the current value of each phase is smaller than the standby current value and is larger than or equal to zero, the electric equipment is judged to be in a shutdown state;
if the current value of each phase is greater than or equal to the standby current value and less than the starting current value, judging that the electric equipment is in a standby state;
and if the current value of each phase is larger than or equal to the starting current value, judging that the electric equipment is in the running state.
5. The electrical equipment monitoring method based on the edge computing technology as claimed in claim 4, wherein the preset threshold further includes a three-phase imbalance threshold, and when the electrical equipment is in an operating state, the step S30 further includes:
judging whether the electric equipment is in phase failure or not according to the collected monitoring data;
if the judgment result is that the phase-lack fault exists in the electric equipment, the power supply circuit of the electric equipment is controlled to be disconnected, and corresponding alarm information is sent to the cloud server;
if the judgment result is that the power utilization equipment has no phase failure fault, calculating a three-phase unbalance value according to the collected monitoring data, and comparing the three-phase unbalance value with a preset three-phase unbalance threshold value;
and if the three-phase unbalance value is greater than the preset three-phase unbalance threshold value, controlling a power supply circuit of the electric equipment to be disconnected, and sending corresponding alarm information to the cloud server.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202110052179.5A CN112713659A (en) | 2021-01-15 | 2021-01-15 | Electric equipment monitoring method based on edge computing technology |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202110052179.5A CN112713659A (en) | 2021-01-15 | 2021-01-15 | Electric equipment monitoring method based on edge computing technology |
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| CN112713659A true CN112713659A (en) | 2021-04-27 |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113964844A (en) * | 2021-11-01 | 2022-01-21 | 江苏思极科技服务有限公司 | Load shedding control system based on 5G public network tunnel time window |
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| CN111220872A (en) * | 2020-03-04 | 2020-06-02 | 独角兽网络科技（苏州）有限公司 | Method and system for monitoring electric equipment in real time |
| CN111710122A (en) * | 2020-04-30 | 2020-09-25 | 国网天津市电力公司 | Safe power utilization management system based on ubiquitous power Internet of things |
-
2021
- 2021-01-15 CN CN202110052179.5A patent/CN112713659A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103487640A (en) * | 2013-09-22 | 2014-01-01 | 浙江大学 | Current monitoring method for enterprise electric equipment based on distributed type network |
| CN104503348A (en) * | 2014-12-11 | 2015-04-08 | 重庆大学 | Remote control method and remote control system for operating condition of electric equipment based on current monitoring |
| CN104698321A (en) * | 2015-03-24 | 2015-06-10 | 北京优稳昌盛科技有限公司 | Electric device fault detecting system |
| US20170271915A1 (en) * | 2016-03-16 | 2017-09-21 | Why Energy, LLC | Energy Demand Monitoring System and Smart micro-Grid Controller |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113964844A (en) * | 2021-11-01 | 2022-01-21 | 江苏思极科技服务有限公司 | Load shedding control system based on 5G public network tunnel time window |
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Application publication date: 20210427 |
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