CN110381645A - Street lamp control system is associated with based on the sensing data that chaos calculates - Google Patents

Street lamp control system is associated with based on the sensing data that chaos calculates Download PDF

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Publication number
CN110381645A
CN110381645A CN201810324796.4A CN201810324796A CN110381645A CN 110381645 A CN110381645 A CN 110381645A CN 201810324796 A CN201810324796 A CN 201810324796A CN 110381645 A CN110381645 A CN 110381645A
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CN
China
Prior art keywords
data
lamp
street lamp
intelligent controller
chaos
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Pending
Application number
CN201810324796.4A
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Chinese (zh)
Inventor
陈志豪
张玺
刘伟
韩斌
渠国建
牛万里
鲍成林
郭阳伟
赵清晨
周赵卫
景少锋
郭孝龙
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Henan Tianqing Electromechanical Technology Co Ltd
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Henan Tianqing Electromechanical Technology Co Ltd
Priority date (The priority date 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 date listed.)
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Application filed by Henan Tianqing Electromechanical Technology Co Ltd filed Critical Henan Tianqing Electromechanical Technology Co Ltd
Priority to CN201810324796.4A priority Critical patent/CN110381645A/en
Publication of CN110381645A publication Critical patent/CN110381645A/en
Pending legal-status Critical Current

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Classifications

    • HELECTRICITY
    • H05ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
    • H05BELECTRIC HEATING; ELECTRIC LIGHT SOURCES NOT OTHERWISE PROVIDED FOR; CIRCUIT ARRANGEMENTS FOR ELECTRIC LIGHT SOURCES, IN GENERAL
    • H05B47/00Circuit arrangements for operating light sources in general, i.e. where the type of light source is not relevant
    • H05B47/10Controlling the light source
    • H05B47/105Controlling the light source in response to determined parameters
    • H05B47/11Controlling the light source in response to determined parameters by determining the brightness or colour temperature of ambient light
    • HELECTRICITY
    • H05ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
    • H05BELECTRIC HEATING; ELECTRIC LIGHT SOURCES NOT OTHERWISE PROVIDED FOR; CIRCUIT ARRANGEMENTS FOR ELECTRIC LIGHT SOURCES, IN GENERAL
    • H05B47/00Circuit arrangements for operating light sources in general, i.e. where the type of light source is not relevant
    • H05B47/10Controlling the light source
    • H05B47/175Controlling the light source by remote control
    • H05B47/19Controlling the light source by remote control via wireless transmission
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02BCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B20/00Energy efficient lighting technologies, e.g. halogen lamps or gas discharge lamps
    • Y02B20/40Control techniques providing energy savings, e.g. smart controller or presence detection

Abstract

Street lamp control system is associated with based on the sensing data that chaos calculates: including middle control platform, live gateway, intelligent controller, various kinds of sensors terminal;Middle control platform is communicated by live gateway with intelligent controller, and intelligent controller receives various kinds of sensors terminal data;Intelligent controller real-time control lamp condition.Technical effect of the invention are as follows: administration of energy conservation: intelligent road lamp management system saves the expenses such as artificial, management, can realize 10% or more power saving rate by the management means of the invention;According to ambient condition information mutation analysis, street lighting energy conservation is realized in such a way that chaotic time prediction model seeks optimal solution.The efficiency of management of street lamp is improved: parsing lamp condition according to historical data and predict the trend of environmental change, guarantees that the brightness of road environment is in the state for meeting pedestrian's demand by real time monitoring street lamp.

Description

Street lamp control system is associated with based on the sensing data that chaos calculates
Technical field
The present invention relates to the sensing datas calculated based on chaos to be associated with street lamp control system.
Background technique
The control system of wisdom street lamp is mainly the street lamp for passing through long-distance centralized control and management, preliminary realization road at present The function of the control lamp on/off of the distal end of lamp, and to colour temperature lamp group remote control and regulation.But it is all limited to centralized control, rather than Pay close attention to the demand under some regional environment to lamp brightness.Only by remote controlled lantern, or such as one disclosed in 201110434232.4 The patent of invention of kind of communication protocol dynamic encryption method of remote street lamp control system, use chaos algorithm ensured it is end-to-end it Between the safety that communicates, the case where can not prejudging and analyze street lamp ambient enviroment by historical data.
Summary of the invention
In order to solve the above technical problems, the present invention, which provides the sensing data calculated based on chaos, is associated with Street lamps control system System.
Technical solution of the present invention specifically:
A kind of method for controlling street lamps, it is characterised in that: the specific steps of which are as follows:
Step 1: collecting lamp stand brightness information by light sensor;
Step 2: being made prediction according to light sensor historical data to lamp stand ambient enviroment;
Step 3: control is adjusted to street lamp brightness according to predictive information, guarantee the brightness of road environment.
Further: specific step is as follows for the method second step:
Step 1: initialization data initial value;
Step 2: every set time receiving sensor data and it is denoted as x1, x2 ... xn etc., and that xt that the time is nearest It is denoted as a central point, similar n times data value is associated point;
Step 3: extracting the reference point in second step to be fitted, the trend of next point is estimated according to matched curve;
Step 4: moving towards trend according to judgement come prediction locus, and predicted value is calculated, is sent to according to predicted value to control The order of street lamp carries out the state of regulation street lamp in real time.
It is further: a kind of method for controlling street lamps second step specifically use chaotic time prediction model to lamp stand around Environment is made prediction.
It is further: light sensor net to be formed using the light sensor of multiple lamp stands, to light sensor network data Data prediction is carried out again after carrying out data filtering operation.
Platform is controlled in one kind: executing the above method.
Street lamp control system is associated with based on the sensing data that chaos calculates: including controlling platform, live gateway, intelligence among the above It can control device, various kinds of sensors terminal;Middle control platform is communicated by live gateway with intelligent controller, and intelligent controller connects Receive various kinds of sensors terminal data;Intelligent controller real-time control lamp condition.
Further: the middle control platform, live gateway intelligent controller use wireless parties between various kinds of sensors terminal Formula connection.
Further: the wireless transmission uses ZigBee wireless protocols.
Compared with the existing technology, technical effect of the invention are as follows:
A, administration of energy conservation: intelligent road lamp management system saves the expenses such as artificial, management, can be real by the management means of the invention Existing 10% or more power saving rate;According to ambient condition information mutation analysis, in such a way that chaotic time prediction model seeks optimal solution Realize street lighting energy conservation.
B, it improves the efficiency of management of street lamp: parsing lamp condition according to historical data and predict the trend of environmental change, lead to Real time monitoring street lamp is crossed to guarantee the brightness of road environment in the state for meeting pedestrian's demand.
Detailed description of the invention
Fig. 1 is present system schematic diagram.
Fig. 2 is chaotic time prediction algorithm flow diagram.
Specific embodiment
A kind of method for controlling street lamps:
Step 1: collecting lamp stand brightness information by light sensor;
Step 2: being made prediction according to light sensor historical data to lamp stand ambient enviroment;
Step 3: control is adjusted to street lamp brightness according to predictive information, guarantee the brightness of road environment.
Wherein made prediction using chaotic time prediction model to lamp stand ambient enviroment.
Accuracy for data and influence of the sensor to prediction result of debugging, pass the light of multiple lamp stands Sensor forms light sensor net, carries out data prediction again after carrying out data filtering operation to light sensor network data.
Such as Fig. 1, the present invention includes middle control platform, live gateway, intelligent controller, various kinds of sensors terminal.
Control platform specifically executes the above method in wherein.
Middle control platform passes through live gateway and intelligent controller carries out data communication, and intelligent controller receives various kinds of sensors Terminal data.Intelligent controller real-time control lamp condition.
Wherein the middle control platform, live gateway, intelligent controller, connected between various kinds of sensors terminal using wireless mode It connects.
The wireless transmission uses ZigBee wireless protocols.
ZigBee be one by can the wireless data sending network platform forming of more to 65000 wireless data transmission modules, ten Classification is like the CDMA net or GSM net of existing mobile communication, each ZigBee-network digital transmission module is similar to the one of mobile network A base station can be in communication with each other within the scope of whole network, between them;Distance between each network node can be from mark Quasi- 75 meters, to extension after several hundred rice in addition several kilometers;In addition entire ZigBee-network not only can " unlimited " spread Come, but also can be with the existing various network connections of others.For example, Yunnan somewhere can be monitored in Beijing by internet A ZigBee control network.Such as its sensor connected directly carries out data acquisition and monitoring, can also it is automatic in Turn other network node and is transmitted through the data information come.In addition to this, each ZigBee-network node (FFD) can also be believed at oneself It is wirelessly connected in the range of number covering with multiple isolated child nodes (RFD) for not undertaking network information transfer task.
Various kinds of sensors terminal: automatically accessing sensing network, collects lamp stand ambient condition information.
Intelligent controller: allowing the sensor node of open network to be added, collect lamp condition information, according to reception instruction pair The round-the-clock monitoring of street lamp simultaneously controls lamp condition.
Live gateway: ad hoc network function, terminal is collected in net state information and various kinds of sensors terminal in monitoring network Information uploads to middle control platform by 3G communication protocol.
Middle control platform: storage and information and the real-time status analysis of monitoring site gateway and issuing for order are looked into state Ask etc.;In conjunction with the result data that chaos computation model obtains, it is sent to each live gateway after parsing and passes through live gateway forwards Order is executed to intelligent controller.
Chaotic time prediction model: working in middle control platform interior, the street lamp ambient enviroment collected for sensor History information data is parsed;Specific execution step is as shown in Figure 2:
A, it is pre- to be sent to chaotic time by initialization data initial value (the street lamp original state according to acquisition) for the data that sensor is collected It surveys in model and is analyzed and compared;
B, the data and with each sensor 6 minutes uploaded are denoted as x1, x2 ... xn etc., and that xt that the time is nearest It is denoted as a central point, similar n times data value is associated point;
C, the reference point in step B is extracted for a kind of sensor to be fitted, then estimates the trend of next point;
D, trend is moved towards come prediction locus according to judgement, and calculates predicted value, transmission is controlled according to the value parsed The state of regulation street lamp in real time is carried out to the order of street lamp.
Chaotic time series forecasting is a kind of Non-linear to grow up late 1980s, main to apply Weather forecast, economic forecasting, load forecast, in terms of be widely used.Chaos time sequence Prediction technique is broadly divided into local method and global approach, based on local method feature is that calculation amount is small, but can not prediction history data In the new point that does not have.In most cases, also Global model prediction is established using global prediction method, so as to predict new Data point.
Chaotic time series forecasting, which is used in intelligent road-lamp control, realizes following advantage:
Administration of energy conservation: intelligent road lamp management system saves the expenses such as artificial, management, can realize section by the management means of the invention Electric 10% or more rate;According to ambient condition information mutation analysis, realized in such a way that chaotic time prediction model seeks optimal solution Street lighting energy conservation.
It improves the efficiency of management of street lamp: parsing lamp condition according to historical data and predict the trend of environmental change, pass through Street lamp is monitored in real time to guarantee the brightness of road environment in the state for meeting pedestrian's demand.
What has been described above is only a preferred embodiment of the present invention, it is noted that for those skilled in the art, Without depart from that overall concept of the invention, several changes and improvements can also be made, these also should be considered as of the invention Protection scope.

Claims (8)

1. a kind of method for controlling street lamps, it is characterised in that: the specific steps of which are as follows:
Step 1: collecting lamp stand brightness information by light sensor;
Step 2: being made prediction according to light sensor historical data to lamp stand ambient enviroment;
Step 3: control is adjusted to street lamp brightness according to predictive information, guarantee the brightness of road environment.
2. a kind of method for controlling street lamps as described in claim 1, it is characterised in that: the method second step specific steps are such as Under:
Step 1: initialization data initial value;
Step 2: every set time receiving sensor data and it is denoted as x1, x2 ... xn etc., and that xt that the time is nearest It is denoted as a central point, similar n times data value is associated point;
Step 3: extracting the reference point in second step to be fitted, the trend of next point is estimated according to matched curve;
Step 4: moving towards trend according to judgement come prediction locus, and predicted value is calculated, is sent to according to predicted value to control The order of street lamp carries out the state of regulation street lamp in real time.
3. a kind of method for controlling street lamps as described in claim 1, it is characterised in that: the method second step specifically uses chaos Time prediction model makes prediction to lamp stand ambient enviroment.
4. a kind of method for controlling street lamps as described in claim 1, it is characterised in that: utilize the light sensor group of multiple lamp stands At light sensor net, data prediction is carried out again after carrying out data filtering operation to light sensor network data.
5. controlling platform in one kind, it is characterised in that: perform claim requires 1-4 any claim the method.
6. being associated with street lamp control system based on the sensing data that chaos calculates, it is characterised in that: including as claimed in claim 4 Middle control platform, live gateway, intelligent controller, various kinds of sensors terminal;Middle control platform passes through live gateway and intelligent controller It is communicated, intelligent controller receives various kinds of sensors terminal data;Intelligent controller real-time control lamp condition.
7. being associated with street lamp control system based on the sensing data that chaos calculates as claimed in claim 6, it is characterised in that: institute It states control platform, live gateway intelligent controller, connected using wireless mode between various kinds of sensors terminal.
8. being associated with street lamp control system based on the sensing data that chaos calculates as claimed in claim 7, it is characterised in that: institute Wireless transmission is stated using ZigBee wireless protocols.
CN201810324796.4A 2018-04-12 2018-04-12 Street lamp control system is associated with based on the sensing data that chaos calculates Pending CN110381645A (en)

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CN115835453A (en) * 2022-12-30 2023-03-21 东莞锐视光电科技有限公司 Method, device, medium and electronic equipment for adjusting light parameters of light source
CN116634640A (en) * 2023-07-21 2023-08-22 山东亮都能源科技有限公司 Street lamp control system and control method based on Internet of things

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CN115835453A (en) * 2022-12-30 2023-03-21 东莞锐视光电科技有限公司 Method, device, medium and electronic equipment for adjusting light parameters of light source
CN116634640A (en) * 2023-07-21 2023-08-22 山东亮都能源科技有限公司 Street lamp control system and control method based on Internet of things
CN116634640B (en) * 2023-07-21 2023-10-10 山东亮都能源科技有限公司 Street lamp control system and control method based on Internet of things

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Application publication date: 20191025

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