Classifications

• • H—ELECTRICITY
  • H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
  • H05B—ELECTRIC HEATING; ELECTRIC LIGHT SOURCES NOT OTHERWISE PROVIDED FOR; CIRCUIT ARRANGEMENTS FOR ELECTRIC LIGHT SOURCES, IN GENERAL
  • H05B47/00—Circuit arrangements for operating light sources in general, i.e. where the type of light source is not relevant
  • H05B47/10—Controlling the light source
  • H05B47/175—Controlling the light source by remote control
  • H05B47/19—Controlling the light source by remote control via wireless transmission
• • 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
  • Y02B20/00—Energy efficient lighting technologies, e.g. halogen lamps or gas discharge lamps
  • Y02B20/40—Control techniques providing energy savings, e.g. smart controller or presence detection
• • 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
  • Y02B20/00—Energy efficient lighting technologies, e.g. halogen lamps or gas discharge lamps
  • Y02B20/72—Energy efficient lighting technologies, e.g. halogen lamps or gas discharge lamps in street lighting

Definitions

• the invention relates to a remote collection and intelligent control system for solar photovoltaic lamp and a control method thereof, which are suitable for a plurality of independent solar photovoltaic circuit lamps, and provide services for remote distributed control solar photovoltaic lamps and intelligent control solar photovoltaic lamps.
• the independent solar photovoltaic circuit lamp is essentially an independent "solar island of solar photovoltaic circuit lights" because it does not need to lay wires. Because of the lack of wired signal carriers, it is not possible to use the mature technology of various power communication carrier technologies used in the remote monitoring and management of urban power grids for circuit lights to be used for condition monitoring and fault diagnosis of individual solar photovoltaic lamps. The control strategy of the urban streetlight control center cannot be passed to the "solar island of solar photovoltaic circuit lights" to realize the remote distribution control function necessary for urban street lamps. Species
• the object of the present invention is to provide a remote control intelligent control system for a solar photovoltaic circuit lamp and a control method thereof for the above-mentioned deficiencies, which can remotely integrate and control various independent solar photovoltaic circuit lights, and enable the solar photovoltaic circuit lights to be used each time. Automatically memorizes historical data after control and automatically optimizes control parameters after the next environmental change. Species
• the technical solution adopted by the invention is: a solar photovoltaic circuit lamp remote collection intelligent control system and a control method thereof.
• the solar photovoltaic circuit light remote distribution intelligent control system is composed of several solar photovoltaic circuit lights and a remote distributed intelligent control center.
• Solar energy The photovoltaic lamp includes a street lamp pole and a solar photovoltaic lamp body.
• the solar photovoltaic lamp body is mounted on the upper part of the street light pole, as shown in the figure.
• the solar photovoltaic lamp body includes a solar panel, a solar street light controller, a battery, a street light, and a microprocessor with wireless Internet access.
• the solar street light controllers are respectively connected to solar panels, batteries, street lamps, and microprocessors with wireless Internet access, as shown in the pattern.
• the solar street light controller controls the solar panel to charge the battery, controls the battery to supply power to the street light, and provides various operating parameters to the wireless Internet enabled microprocessor and accepts control commands from the wireless Internet enabled microprocessor. Times
• the remote distributed intelligent control center consists of a server (computer) and a neural network control system (control program). Two-way communication can be realized through the network between the remote distributed intelligent control center and each solar photovoltaic circuit lamp. Times
• the neural network control system includes a neural network that controls the turn-on time of the solar photovoltaic light, and another neural network controls the turn-off time of the solar photovoltaic light.
• the microprocessor with wireless Internet access collects various working parameters of the solar photovoltaic lamp through the solar street lamp controller, sends it to the remote distributed intelligent control center and receives the control command of the remote distributed intelligent control center, and analyzes and learns the history of the neural network control system. Control data and control data that is manually adjusted directly by the solar street light controller.
• the remote distributed intelligent control center can realize remote centralized management, decentralized control, and intelligent control of multiple solar photovoltaic circuit lights. Times
• Solar photovoltaic circuit light remote control intelligent control system control method remote distribution intelligent control center and each solar photovoltaic circuit light can pass through the network Achieve two-way communication.
• the wireless Internet-enabled microprocessor can be easily connected to the remote distributed intelligent control center by connecting with the network, receiving the control commands issued by the remote distributed intelligent control center and transmitting the solar photovoltaic light to the remote distributed intelligent control center. Parameters, the system uses a neural network to control the turn-on and turn-off times of each solar photovoltaic light. Species
• the connection strength from the /th neuron to the jth neuron in the kth layer, the ⁇ value of the corresponding neuron, the transfer function of the 3 ⁇ 4 neuron, /V is the / The number of layer neurons, M represents the total number of layers.
• a neural network is used to control the opening time of each solar photovoltaic lamp, and the input layer inputs months, days, days of the week, whether it is raining and whether the weather is sunny or cloudy, and the output layer outputs each solar energy.
• the opening time of the photovoltaic lamp use another neural network to control the closing time of each solar photovoltaic lamp, input layer input months, days, days of the week, whether it is raining and whether the weather is sunny or cloudy, the output layer outputs each solar energy The closing time of the photovoltaic lamp.
• the solar photovoltaic circuit lamp remote distributed intelligent control system is composed of a plurality of solar photovoltaic circuit lights and a remote distributed intelligent control center.
• Solar photovoltaic circuit lights include: street light poles and solar photovoltaic light body lights.
• Solar photovoltaic power The street light body is mounted on the upper part of the street light pole.
• the solar photovoltaic lamp body includes: solar panels, solar street light controllers, batteries, street lamps and microprocessors with wireless networking capabilities.
• the solar street light controller is connected to a solar panel, a battery, a street light, and a microprocessor having a wireless networking function.
• the solar street light controller controls the solar panel to charge the battery, controls the battery to supply power to the street light, and provides various operating parameters to the microprocessor having the wireless networking function and accepts control commands from the microprocessor having the wireless networking function. Times
• the remote distributed intelligent control center consists of a server (computer) and a neural network control system (control program). Two-way communication can be realized through the network between the remote distributed intelligent control center and each solar photovoltaic circuit lamp. Times
• the neural network control system includes a neural network, each of which controls the turn-on time of each solar photovoltaic light, and another neural network controls the turn-off time of each solar photovoltaic light.
• the microprocessor with wireless Internet access collects various working parameters of the solar photovoltaic circuit lamp, sends it to the remote distributed intelligent control center and receives the control command of the remote distributed intelligent control center, and the neural network control system analyzes and learns the historical control data and directly passes Control data manually adjusted by the solar street light controller.
• Remote distributed intelligent control center can realize remote centralized management and decentralized control Systematic, intelligent control of multiple solar photovoltaic circuit lights. Times
• the invention not only solves the problem of islanding control in the application of the solar photovoltaic circuit lamp system, but also solves the problem of intelligent learning control of the control system, and solves the stolen street lamp and its supporting system which may exist in the island control of the potential solar photovoltaic circuit lamp. risk. Times
• the figure is a schematic diagram of a solar photovoltaic hair lamp of the present invention. Times
• the pattern is a block diagram of the structure of the solar photovoltaic lamp body of the present invention. Times
• Figure: is a block diagram of the remote collection intelligent control system of the solar photovoltaic circuit lamp of the present invention.
• the secondary diagram is a block diagram of the neural network control algorithm of the present invention.
• the solar photovoltaic circuit light remote distribution intelligent control system consists of several solar photovoltaic circuit lights and remote distributed intelligent control center.
• the solar photovoltaic circuit lamp includes: street lamp pole households ⁇ 3 ⁇ 4 solar photovoltaic hair lamp body body case solar photovoltaic hair circuit lamp body in the upper part of the street lamp pole, as shown in the figure.
• the solar photovoltaic lamp body includes: solar panels, solar street light controllers, batteries, street lamps and microprocessors with wireless Internet access.
• the solar street light controller is connected to a solar panel, a battery, a street light, a microprocessor with wireless Internet access, as shown in the pattern.
• the remote distributed intelligent control center is composed of a server (computer) and a neural network control system (control program).
• Two-way communication can be realized through the network between the remote distributed intelligent control center and each solar photovoltaic circuit lamp.
• Times The neural network control system includes no neural network, and the neural network controls the turn-on time of each solar photovoltaic light, and the neural network controls the turn-off time of each solar photovoltaic light.
• the microprocessor with wireless Internet access collects various working parameters of the solar photovoltaic lamp through the solar street lamp controller, sends it to the remote distributed intelligent control center and receives the control command of the remote distributed intelligent control center, and analyzes and learns the history of the neural network control system. Control data and control data that is manually adjusted directly by the solar street light controller.
• the remote distributed intelligent control center can realize remote centralized management, decentralized control, and intelligent control of multiple solar photovoltaic circuit lights. Species
• the control method of the remote collection and intelligent control system of the solar photovoltaic circuit lamp can realize two-way communication through the network.
• the wireless Internet-enabled microprocessor can be easily connected to the remote distributed intelligent control center by connecting with the network, receiving the control commands issued by the remote distributed intelligent control center and transmitting the solar photovoltaic light to the remote distributed intelligent control center.
• the system uses a neural network to control the turn-on and turn-off times of each solar photovoltaic light.
• the connection strength from the /th neuron to the jth neuron in the kth layer, the ⁇ value of the corresponding neuron, the transfer function of the 3 ⁇ 4 neuron, /V is the / The number of layer neurons, M represents the total number of layers.
• a neural network is used to control the opening time of each solar photovoltaic lamp, and the input layer inputs months, days, days of the week, whether it is raining and whether the weather is sunny or cloudy, and the output layer outputs each solar photovoltaic power generation.
• each solar photovoltaic lamp can be calculated according to the neural network, and the opening of each solar photovoltaic circuit lamp can be manually set according to the needs of the remote distributed intelligent control center or the local solar photovoltaic circuit lamp. Time and closing time. Species
• the solar panel is a commercially available Sauter monocrystalline silicon panel.
• the solar street light controller uses a commercially available Shad i3 ⁇ 4 type controller.
• the battery is a commercially available lead-acid battery that is commercially available.
• the street lamp uses a commercially available Shad security lighting. Species
• the microprocessor with wireless network function uses a commercially available glaze to provide wireless Internet access. Species
• the server uses a commercially available computer.
• the neural network employs a commercially available neural network application.

Landscapes

• Engineering & Computer Science (AREA)
• Computer Networks & Wireless Communication (AREA)
• Circuit Arrangement For Electric Light Sources In General (AREA)
• Remote Monitoring And Control Of Power-Distribution Networks (AREA)

Priority Applications (2)

Applications Claiming Priority (2)

Publications (1)

Family

ID=42596537

Family Applications (1)

Country Status (4)

Cited By (7)

Families Citing this family (5)

Citations (3)

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• 2010
  • 2010-02-10 CN CN2010101081525A patent/CN101801130B/zh active Active
  • 2010-08-03 WO PCT/CN2010/075654 patent/WO2011097871A1/zh active Application Filing
  • 2010-08-03 DE DE212010000203U patent/DE212010000203U1/de not_active Expired - Lifetime
  • 2010-08-03 JP JP2012600069U patent/JP3181656U/ja not_active Expired - Lifetime

Patent Citations (3)

Non-Patent Citations (1)

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