CN111756856A - Artificial intelligence remote control system for power equipment - Google Patents
Artificial intelligence remote control system for power equipment Download PDFInfo
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- CN111756856A CN111756856A CN202010626491.6A CN202010626491A CN111756856A CN 111756856 A CN111756856 A CN 111756856A CN 202010626491 A CN202010626491 A CN 202010626491A CN 111756856 A CN111756856 A CN 111756856A
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- control
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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
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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
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- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Health & Medical Sciences (AREA)
- Computing Systems (AREA)
- General Health & Medical Sciences (AREA)
- Medical Informatics (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Remote Monitoring And Control Of Power-Distribution Networks (AREA)
Abstract
The invention discloses an artificial intelligence remote control system for electric equipment, which comprises a power grid power supply, a remote terminal remote control, the electric equipment, a PLC (programmable logic controller), a power supply module and a numerical control middle end. The remote control of the remote terminal comprises circuit on-off control, voltage control regulation and current control regulation; the power equipment comprises a remote signal receiving module, a fault detecting module, a voltage detecting module, a current detecting module, an alarming module and a signal transmitting module; the PLC controller comprises signal receiving, fault information analysis and fault emergency maintenance. The invention can remotely control various performance indexes of the power equipment, can carry out fault detection on the power equipment in real time and feed back the fault detection to the remote control terminal, can automatically carry out maintenance in emergency, and avoids the occurrence of safety accidents and the waste of production resources. The problem of among the prior art regulate and control power equipment receive region restriction degree big, the regulation and control process is wasted time and energy, and danger coefficient is big moreover, is difficult to guarantee practitioner's life safety is solved.
Description
Technical Field
The invention belongs to the field of remote control, and particularly relates to an artificial intelligence remote control system for electric equipment.
Background
With the continuous development of the technology, the application of the power equipment in the daily life and production of the people is more and more extensive. The power equipment mainly comprises power generation equipment and power supply equipment, wherein the power generation equipment mainly comprises a power station boiler, a steam turbine, a gas turbine, a water turbine, a generator, a transformer and the like, and the power supply equipment mainly comprises power transmission lines, mutual inductors, contactors and the like with various voltage grades. Need artifically to regulate and control power equipment in the in-service use process, artifical regulation and control is very high to geographical position's restriction, needs to guarantee to have special debugging personnel to regulate and control at the power equipment scene, and this kind of mode receives the region restriction degree big, and the regulation and control process is wasted time and energy, and the danger coefficient is big moreover, is difficult to guarantee practitioner's life safety. Therefore, the remote control system which can replace manual work and improve the regulation efficiency and remotely control the power equipment to regulate is designed to meet the actual requirement.
In view of the above-mentioned problems, an artificial intelligence remote control system for electric power equipment is designed.
Disclosure of Invention
Aiming at the defects of the prior art, the invention aims to provide an artificial intelligent remote control system for power equipment, which solves the problems that the regulation and control of the power equipment in the prior art are limited by regions to a large extent, the regulation and control process is time-consuming and labor-consuming, the danger coefficient is large, and the life safety of practitioners is difficult to ensure.
The purpose of the invention can be realized by the following technical scheme:
an artificial intelligence remote control system for electric equipment comprises a power grid power supply, a remote terminal remote control unit, the electric equipment, a PLC (programmable logic controller), a power module and a numerical control middle end.
Furthermore, the remote control of the remote terminal comprises on-off control of a circuit, voltage control regulation and current control regulation, the power equipment comprises a remote signal receiving module, a fault detection module, a voltage detection module, a current detection module, an alarm module and signal transmission, and the PLC comprises signal receiving module, fault information analysis module and fault emergency maintenance module.
Further, the circuit on-off control, the voltage control regulation and the current control regulation transmit signals to the far-end signal receiver, the far-end signal receiver transmits signals to the fault detection, the voltage detection and the current detection, the fault detection, the voltage detection and the current detection transmit signals to the alarm module, the alarm module transmits the signals to the signal transmitter, the signal transmitter transmits the signals to the signal receiver, the signal receiver transmits the signals to the fault information analysis, the fault information analysis transmits the signals to the fault emergency maintenance, the fault emergency maintenance transmits the signals to the numerical control middle terminal, and the numerical control middle terminal transmits the signals to the circuit on-off control, the voltage control regulation and the current control regulation.
Further, the power grid power supply transmits an electric energy signal to the circuit on-off control, the voltage control regulation and the current control regulation so as to ensure the normal power supply of the remote control of the remote terminal.
Further, the power module transmits the electric energy signal to the signal receiving, the fault information analysis and the fault emergency maintenance so as to ensure the normal power supply of the PLC.
The invention has the beneficial effects that:
1. the invention can remotely control various performance indexes of the power equipment, can carry out fault detection on the power equipment in real time and feed back the fault detection to the remote control terminal, is manually operated and maintained remotely, can automatically maintain in emergency, and avoids the occurrence of safety accidents and the waste of production resources.
Drawings
In order to more clearly illustrate the embodiments or technical solutions in the prior art of the present invention, the drawings used in the description of the embodiments or prior art will be briefly described below, and it is obvious for those skilled in the art that other drawings can be obtained based on these drawings without creative efforts.
Fig. 1 is a schematic view of the overall structure of the embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In the description of the present invention, it is to be understood that the terms "opening," "upper," "lower," "thickness," "top," "middle," "length," "inner," "peripheral," and the like are used in an orientation or positional relationship that is merely for convenience in describing and simplifying the description, and do not indicate or imply that the referenced component or element must have a particular orientation, be constructed and operated in a particular orientation, and thus should not be considered as limiting the present invention.
As shown in fig. 1, an artificial intelligence remote control system for electric power equipment comprises six parts, namely a power grid power supply, a remote terminal remote control, electric power equipment, a PLC controller, a power supply module and a numerical control middle end. The remote control of the remote terminal comprises circuit on-off control, voltage control regulation and current control regulation. The power equipment comprises a remote signal receiving module, a fault detecting module, a voltage detecting module, a current detecting module, an alarming module and a signal transmitting module. The PLC controller comprises signal receiving, fault information analysis and fault emergency maintenance.
And the power grid power supply transmits an electric energy signal to the circuit on-off control, the voltage control regulation and the current control regulation so as to ensure the normal power supply of the remote control of the remote terminal. The circuit on-off control, the voltage control regulation and the current control regulation transmit signals to the far-end signal receiving, the far-end signal receiving transmits the signals to the fault detection, the voltage detection and the current detection, the fault detection, the voltage detection and the current detection transmit the signals to the alarm module, the alarm module transmits the signals to the signal transmission, the signal transmission transmits the signals to the signal receiving, the signal receiving transmits the signals to the fault information analysis, the fault information analysis transmits the signals to the fault emergency maintenance, the fault emergency maintenance transmits the signals to the numerical control middle end, and the numerical control middle end transmits the signals to the circuit on-off control, the voltage control regulation and the current control regulation. And the power supply module transmits the electric energy signal to the signal receiving module, the fault information analysis module and the fault emergency maintenance module so as to ensure the normal power supply of the PLC.
In practical use, an operator remotely controls the remote terminal to adjust performance indexes, and controls the on-off of the circuit, the output voltage and the output current through the on-off control of the circuit, the voltage control regulation and the current control regulation. Then each changed index is transmitted to the power equipment, received and received by the remote signal, and then transmitted to the fault detection, the voltage detection and the current detection, each index is automatically detected and then transmitted to the alarm module, the alarm module judges whether the index meets the standard, if the index meets the standard, the alarm module does not give an alarm and transmits the conventional signal to the signal transmission; if the standard is not met, alarming is carried out, and a warning signal is transmitted to the signal transmission.
And then the signal transmission transmits a signal to the PLC, the signal is received and received, and then the signal reception transmits the signal to the fault information analysis to autonomously judge whether the fault is serious. Then the failure information analysis transmits the analyzed result to the failure emergency maintenance, and if the failure is serious, the emergency maintenance is automatically carried out; if the fault is not serious, the remote operator carries out maintenance. And then the fault emergency maintenance transmits a fault processing signal to the numerical control middle end, and the numerical control middle end finally transmits the signal to the circuit on-off control, the voltage control regulation and the current control regulation, and a remote operator maintains or adjusts the index according to the situation.
In the description herein, references to the description of "one embodiment," "an example," "a specific example" or the like are intended to mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The foregoing shows and describes the general principles, essential features, and advantages of the invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, which are described in the specification and illustrated only to illustrate the principle of the present invention, but that various changes and modifications may be made therein without departing from the spirit and scope of the present invention, which fall within the scope of the invention as claimed.
Claims (4)
1. An artificial intelligence remote control system for electric equipment is characterized by comprising a power grid power supply, a remote terminal remote control, the electric equipment, a PLC (programmable logic controller), a power supply module and a numerical control middle end;
the remote control of the remote terminal comprises on-off control of a circuit, voltage control regulation and current control regulation, the power equipment comprises a remote signal receiving module, a fault detection module, a voltage detection module, a current detection module, an alarm module and signal transmission module, and the PLC comprises signal receiving module, fault information analysis module and fault emergency maintenance module.
2. The artificial intelligence remote control system for power equipment of claim 1, wherein the on-off circuit control, voltage control regulation, and current control regulation transmit signals to the remote signal receiver, the remote signal receiver transmits signals to the fault detection, voltage detection, and current detection, the fault detection, voltage detection, and current detection transmit signals to the alarm module, the alarm module transmits signals to the signal transmitter, the signal transmitter transmits signals to the signal receiver, the signal receiver transmits signals to the fault information analyzer, the fault information analyzer transmits signals to the emergency maintenance, the emergency maintenance transmits signals to the numerical control center, the numerical control center transmits signals to the on-off circuit control, the fault detection, the voltage detection, and the current detection, the alarm module transmits signals to the signal transmitter, the signal transmitter transmits signals to the signal receiver, the signal receiver transmits signals to the fault information analyzer, the fault information analyzer transmits signals to the emergency maintenance, the emergency maintenance transmits signals to the numerical, Voltage control regulation and current control regulation.
3. The system of claim 1, wherein the grid power supply transmits power signals to the on/off circuit control, the voltage control regulation, and the current control regulation to ensure proper power supply for remote control of the remote terminal.
4. The artificial intelligence remote control system for electrical power equipment of claim 1 wherein the power module transmits power signals to the signal reception, fault information analysis and emergency maintenance to ensure proper power supply of the PLC controller.
Priority Applications (1)
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CN202010626491.6A CN111756856A (en) | 2020-07-01 | 2020-07-01 | Artificial intelligence remote control system for power equipment |
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CN202010626491.6A CN111756856A (en) | 2020-07-01 | 2020-07-01 | Artificial intelligence remote control system for power equipment |
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CN202010626491.6A Withdrawn CN111756856A (en) | 2020-07-01 | 2020-07-01 | Artificial intelligence remote control system for power equipment |
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Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105336127A (en) * | 2015-12-05 | 2016-02-17 | 张钦 | Overload alarm system for electric power voltage detection |
CN206863161U (en) * | 2017-06-28 | 2018-01-09 | 李陶 | A kind of fault positioning system of power line based on Internet of Things and DSP |
CN107588801A (en) * | 2017-09-04 | 2018-01-16 | 安徽科盟电子科技有限公司 | A kind of long-range self-diagnosis system of electrical equipment fault |
CN107884713A (en) * | 2017-10-21 | 2018-04-06 | 湖南福湘发电设备有限公司 | A kind of generator failure detector |
CN207234522U (en) * | 2017-07-25 | 2018-04-13 | 镇江市美盛母线有限公司 | A kind of complete switch equipment open circuit limits mechanism |
CN207320952U (en) * | 2017-11-09 | 2018-05-04 | 胡军 | A kind of electric power remote monitoring and control system |
CN108539859A (en) * | 2018-05-09 | 2018-09-14 | 广西电网有限责任公司柳州供电局 | A kind of distribution power automation terminal distant place maintenance system |
-
2020
- 2020-07-01 CN CN202010626491.6A patent/CN111756856A/en not_active Withdrawn
Patent Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105336127A (en) * | 2015-12-05 | 2016-02-17 | 张钦 | Overload alarm system for electric power voltage detection |
CN206863161U (en) * | 2017-06-28 | 2018-01-09 | 李陶 | A kind of fault positioning system of power line based on Internet of Things and DSP |
CN207234522U (en) * | 2017-07-25 | 2018-04-13 | 镇江市美盛母线有限公司 | A kind of complete switch equipment open circuit limits mechanism |
CN107588801A (en) * | 2017-09-04 | 2018-01-16 | 安徽科盟电子科技有限公司 | A kind of long-range self-diagnosis system of electrical equipment fault |
CN107884713A (en) * | 2017-10-21 | 2018-04-06 | 湖南福湘发电设备有限公司 | A kind of generator failure detector |
CN207320952U (en) * | 2017-11-09 | 2018-05-04 | 胡军 | A kind of electric power remote monitoring and control system |
CN108539859A (en) * | 2018-05-09 | 2018-09-14 | 广西电网有限责任公司柳州供电局 | A kind of distribution power automation terminal distant place maintenance system |
Non-Patent Citations (1)
Title |
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林瑜筠, 中国铁道出版社 * |
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Application publication date: 20201009 |