The long-range collecting and distributing intelligence control system of solar energy power generating streetlamp
Technical field
The utility model relates to the long-range collecting and distributing intelligence control system of a kind of solar energy power generating streetlamp, be applicable to a plurality of independent solar photovoltaic power generation street lamps, for long-range collecting and distributing control solar energy power generating streetlamp and Based Intelligent Control solar energy power generating streetlamp provide service.
Background technology
The independent solar photovoltaic power generation street lamp is a kind of independently " solar energy power generating streetlamp isolated island " owing to do not need laying wire in essence.Because lack the wire signal carrier, therefore the PLC technology (Power Line Communication-power communication ZAP) of the maturation of employing in power at urban distribution network road lamp remote monitoring and the management can not be directly used in each independently monitoring of working condition and failure diagnosis of solar energy power generating streetlamp, the control strategy of city street lamp control centre can not be passed to " solar energy power generating streetlamp isolated island ", realize the necessary long-range collecting and distributing controlled function of city street lamp.
Summary of the invention
The utility model purpose is to provide a kind of solar energy power generating streetlamp long-range collecting and distributing intelligence control system at above-mentioned weak point, this system can each independent solar photovoltaic power generation street lamp of long-range collecting and distributing Based Intelligent Control, and make solar energy power generating streetlamp can be in each control back automatically the memory historical data and after next environmental change the Automatic Optimal Control Parameter.
The long-range collecting and distributing intelligence control system of solar energy power generating streetlamp takes following technical scheme to realize: the long-range collecting and distributing intelligence control system of solar energy power generating streetlamp is made up of several solar energy power generating streetlamps and long-range collecting and distributing intelligent control center.Solar energy power generating streetlamp comprises street lamp post and solar energy power generating streetlamp lamp body.The solar energy power generating streetlamp lamp body is contained in street lamp post top, as shown in Figure 1.The solar energy power generating streetlamp lamp body comprises solar panel, solar street lamp controller, storage battery, street lamp and has the wireless microprocessor of going up Internet net function.Solar street lamp controller respectively with solar panel, storage battery, street lamp, have the wireless microprocessor of going up Internet net function and be connected, as shown in Figure 2.Solar street lamp controller control solar panel is to charge in batteries, and the control storage battery provides every running parameter and acceptance from having the wireless control command that goes up the microprocessor of Internet net function to street lamp power supply, road lamp power supply and to having the wireless microprocessor of going up Internet net function.
Long-range collecting and distributing intelligent control center is made of server (computer) and nerve network control system (control program).Can realize both-way communication by the Internet net between long-range collecting and distributing intelligent control center and each solar energy power generating streetlamp.
Described nerve network control system comprises 2 BP neural nets, the opening time of 1 BP ANN Control solar energy power generating streetlamp, the shut-in time of 1 BP ANN Control solar energy power generating streetlamp in addition.Have the wireless microprocessor of going up Internet net function and collect every running parameter of solar energy power generating streetlamp by solar street lamp controller, send to the control command of long-range collecting and distributing intelligent control center and the collecting and distributing intelligent control center of receiving remote, nerve network control system analysis and studying history control data and the control data that directly passes through the solar street lamp controller manual adjustments.Long-range collecting and distributing intelligent control center can be realized remote centralized management, decentralized control, a plurality of solar energy power generating streetlamps of Based Intelligent Control.
The control method of the long-range collecting and distributing intelligence control system of solar energy power generating streetlamp: can realize both-way communication by the Internet net between long-range collecting and distributing intelligent control center and each solar energy power generating streetlamp.Has the wireless microprocessor of Internet net function of going up by being connected with the Internet network, can be advantageously connected to long-range collecting and distributing intelligent control center, the control command that the collecting and distributing intelligent control center of receiving remote sends and send every running parameter of solar energy power generating streetlamp to long-range collecting and distributing intelligent control center, system adopts the opening time and the shut-in time of each solar energy power generating streetlamp of BP ANN Control.
Described BP neural net is made up of input layer, hidden layer and output layer, and each layer includes several neurons, and j neuron has following input/output relation in the k layer:
y
j (k)=f
j (k)(∑W
ij (k-1)y
i (k-1)-R
j (k))
j=1,2,…,N
k;k=1,2,…,M
W in the formula
Ij (k-1)Be in (k-1) layer i neuron to the individual neuronic bonding strength of k layer j, R
j (k)Be the neuronic threshold values of correspondence, f
j (k)Be neuronic transfer function, N
kBe k layer neuron number, M represents total number of plies.
In the nerve network control system, with the opening time of each solar energy power generating streetlamp of BP ANN Control, input layer input several months, several days, what day, whether rain and weather is fine or the moon, output layer is exported the opening time of each solar energy power generating streetlamp; With the shut-in time of another each solar energy power generating streetlamp of BP ANN Control, input layer input several months, several days, what day, whether rain and weather is fine or the moon, output layer is exported the shut-in time of each solar energy power generating streetlamp.With dynamic preceding 10 days control datas as learning sample by the BP neural network learning, thereby can calculate the opening time and the shut-in time of each solar energy power generating streetlamp on the same day.
Both can calculate the opening time and the shut-in time of each solar energy power generating streetlamp every day according to the BP neural net, also can manually freely set the opening time and the shut-in time of each solar energy power generating streetlamp every day according to long-range collecting and distributing intelligent control center needs or local solar energy power generating streetlamp needs.
The utlity model has following characteristics: the long-range collecting and distributing intelligence control system of solar energy power generating streetlamp is made up of several solar energy power generating streetlamps and long-range collecting and distributing intelligent control center.Solar energy power generating streetlamp comprises: street lamp post and solar energy power generating streetlamp lamp body.The solar energy power generating streetlamp lamp body is contained in street lamp post top.The solar energy power generating streetlamp lamp body comprises: solar panel, solar street lamp controller, storage battery, street lamp and the microprocessor with wireless last Internet net function.Solar street lamp controller respectively with solar panel, storage battery, street lamp, have the wireless microprocessor of going up Internet net function and be connected.Solar street lamp controller control solar panel is to charge in batteries, and the control storage battery provides every running parameter and acceptance from having the wireless control command that goes up the microprocessor of Internet net function to street lamp power supply, road lamp power supply and to having the wireless microprocessor of going up Internet net function.
Long-range collecting and distributing intelligent control center is made of server (computer) and nerve network control system (control program).Can realize both-way communication by the Internet net between long-range collecting and distributing intelligent control center and each solar energy power generating streetlamp.
Described nerve network control system comprises 2 BP neural nets, the opening time of 1 each solar energy power generating streetlamp of BP ANN Control, the shut-in time of 1 each solar energy power generating streetlamp of BP ANN Control in addition.Have the wireless microprocessor of going up Internet net function and collect every running parameter of solar energy power generating streetlamp, send to the control command of long-range collecting and distributing intelligent control center and the collecting and distributing intelligent control center of receiving remote, nerve network control system analysis and studying history control data and the control data that directly passes through the solar street lamp controller manual adjustments.Long-range collecting and distributing intelligent control center can be realized remote centralized management, decentralized control, a plurality of solar energy power generating streetlamps of Based Intelligent Control.
The utility model has not only solved the isolated island control problem in the puzzlement solar energy power generating streetlamp system applies, solve control system intelligence learning control problem, and solved the street lamp that may exist in the control of potential solar energy power generating streetlamp isolated island and the stolen risk of corollary system thereof.
Description of drawings
The utility model is described in further detail below with reference to accompanying drawing:
Fig. 1 is a solar energy power generating streetlamp schematic diagram of the present utility model.
Fig. 2 is a solar energy power generating streetlamp lamp body structure block diagram of the present utility model.
Fig. 3 is the long-range collecting and distributing intelligence control system block diagram of solar energy power generating streetlamp of the present utility model.
Fig. 4 is a BP ANN Control algorithm flow block diagram of the present utility model.
Embodiment
With reference to accompanying drawing 1~4, the long-range collecting and distributing intelligence control system of solar energy power generating streetlamp is made up of several solar energy power generating streetlamps and long-range collecting and distributing intelligent control center.Solar energy power generating streetlamp comprises: street lamp post 1 and solar energy power generating streetlamp lamp body 2, solar energy power generating streetlamp lamp body 2 are contained in street lamp post 1 top, as shown in Figure 1.The solar energy power generating streetlamp lamp body comprises: solar panel, solar street lamp controller, storage battery, street lamp and the microprocessor with wireless last Internet net function.Solar street lamp controller respectively with solar panel, storage battery, street lamp, have the wireless microprocessor of going up Internet net function and be connected, as shown in Figure 2.Long-range collecting and distributing intelligent control center is made of server (computer) and nerve network control system (control program).Can realize both-way communication by the Internet net between long-range collecting and distributing intelligent control center and each solar energy power generating streetlamp.
Nerve network control system comprises 2 BP neural nets, the opening time of 1 each solar energy power generating streetlamp of BP ANN Control, the shut-in time of 1 each solar energy power generating streetlamp of BP ANN Control in addition.Have the wireless microprocessor of going up Internet net function and collect every running parameter of solar energy power generating streetlamp by solar street lamp controller, send to the control command of long-range collecting and distributing intelligent control center and the collecting and distributing intelligent control center of receiving remote, nerve network control system analysis and studying history control data and the control data that directly passes through the solar street lamp controller manual adjustments.Long-range collecting and distributing intelligent control center can be realized remote centralized management, decentralized control, a plurality of solar energy power generating streetlamps of Based Intelligent Control.
The control method of the long-range collecting and distributing intelligence control system of solar energy power generating streetlamp:
Can realize both-way communication by the Internet net between long-range collecting and distributing intelligent control center and each solar energy power generating streetlamp.Has the wireless microprocessor of Internet net function of going up by being connected with the Internet network, can be advantageously connected to long-range collecting and distributing intelligent control center, the control command that the collecting and distributing intelligent control center of receiving remote sends and send every running parameter of solar energy power generating streetlamp to long-range collecting and distributing intelligent control center, system adopts the opening time and the shut-in time of each solar energy power generating streetlamp of BP ANN Control.
Described BP neural net is made up of input layer, hidden layer and output layer, and each layer includes several neurons, and j neuron has following input/output relation in the k layer:
y
j (k)=f
j (k)(∑W
ij (k-1)y
i (k-1)-R
j (k))
j=1,2,…,N
k;k=1,2,…,M
W in the formula
Ij (k-1)Be in (k-1) layer i neuron to the individual neuronic bonding strength of k layer j, R
j (k)Be the neuronic threshold values of correspondence, f
j (k)Be neuronic transfer function, N
kBe k layer neuron number, M represents total number of plies.
In the described nerve network control system, with the opening time of each solar energy power generating streetlamp of BP ANN Control, input layer input several months, several days, what day, whether rain and weather is fine or the moon, output layer is exported the opening time of each solar energy power generating streetlamp; With the shut-in time of another each solar energy power generating streetlamp of BP ANN Control, input layer input several months, several days, what day, whether rain and weather is fine or the moon, output layer is exported the shut-in time of each solar energy power generating streetlamp.With dynamic preceding 10 days control datas as learning sample by the BP neural network learning, thereby can calculate the opening time and the shut-in time of each solar energy power generating streetlamp on the same day.
Both can calculate the opening time and the shut-in time of each solar energy power generating streetlamp every day according to the BP neural net, also can manually freely set the opening time and the shut-in time of each solar energy power generating streetlamp every day according to long-range collecting and distributing intelligent control center needs or local solar energy power generating streetlamp needs.
Described solar panel adopts the commercially available husky SD4-2007031237 monocrystalline silicon battery plate that gets.
Described solar street lamp controller adopts the commercially available husky SD-NJKXJSJ-600 type controller that gets.
Described storage battery adopts the special-purpose lead acid accumulator of commercially available match energy LNT6-4 solar energy.
Described street lamp adopts the commercially available husky SD6-0.65LED safety flare that gets.
Described microprocessor with wireless last Internet net function adopts commercially available intel1.6G CPU/ to get online without being tethered to a cable.
Described server adopts commercially available IBM System x4650M2 (7947I01) computer.
Described BP neural net adopts commercially available MATLAB-BP neural networks application programs.