CN111867207B - Park intelligent illumination time delay automatic adjustment method and device - Google Patents
Park intelligent illumination time delay automatic adjustment method and device Download PDFInfo
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- CN111867207B CN111867207B CN202010567417.1A CN202010567417A CN111867207B CN 111867207 B CN111867207 B CN 111867207B CN 202010567417 A CN202010567417 A CN 202010567417A CN 111867207 B CN111867207 B CN 111867207B
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- 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
- H05B47/105—Controlling the light source in response to determined parameters
- H05B47/115—Controlling the light source in response to determined parameters by determining the presence or movement of objects or living beings
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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
- 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
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Abstract
The invention discloses a park intelligent lighting time delay automatic adjusting method and a device, comprising the following steps: 1) counting people flow data entering an illumination range; 2) predicting the flow of people entering the illumination range in the next time period according to historical people flow data; 3) generating pedestrian data according to the predicted pedestrian flow entering the illumination range at the next time; 4) calculating the optimal delay time of the lighting equipment in the next time period according to the pedestrian data obtained in the step 3), and then controlling the lighting equipment in the next time period according to the calculated optimal delay time to finish the intelligent lighting delay automatic adjustment of the park.
Description
Technical Field
The invention belongs to the technical field of illumination energy conservation, and relates to a park intelligent illumination time delay automatic adjusting method and a park intelligent illumination time delay automatic adjusting device.
Background
The principle that intelligent lamps in the garden follow is that people come and turn on the lamps when they go, and the lamps are turned off when they go. When the pedestrian reaches the range of the induction lamp, the lamp is on; when the pedestrian leaves the induction range, the lamp is turned off; in the process, frequent switching of the lamp can affect the service life of the lamp; the lamp is always open and there is a problem of power consumption. The corresponding switching frequency can also change due to different intensive flow of people, and relatively speaking, the light delay time is long, so that the switching frequency of the light can be reduced, the service life of a bulb can be prolonged, but the electric energy consumption is large; on the contrary, the delay time is short, reducing the power consumption but shortening the life of the bulb. At present, the delay time of an intelligent lamp is generally set to be a fixed value or adjusted manually, and for the flow of people with different densities, the fixed delay time causes certain resource waste.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provides an intelligent illumination time delay automatic adjusting method and device for a park.
In order to achieve the purpose, the intelligent illumination time delay automatic adjusting method for the park comprises the following steps:
1) counting people flow data entering an illumination range;
2) predicting the flow of people entering the illumination range in the next time period according to historical people flow data;
3) generating pedestrian data according to the predicted pedestrian flow entering the illumination range at the next time;
4) calculating the optimal delay time of the lighting equipment in the next time period according to the pedestrian data obtained in the step 3), and then controlling the lighting equipment in the next time period according to the calculated optimal delay time to finish the intelligent lighting delay automatic adjustment of the park.
And 2) predicting the flow of people entering the illumination range in the next time period by adopting a time series model according to historical people flow data.
Pedestrian P i When leaving the lamp illumination range, the pedestrian P i+1 With two relative positions, i.e. when the pedestrian P i+1 When the lighting equipment is started when entering the lighting range, the corresponding number of times of switching the lighting equipment is not changed; when the pedestrian P i+1 When the lighting equipment is turned off when the lighting range is entered, adding 1 to the corresponding number of times of turning on and turning off the lighting equipment;
is provided with L l For the sensing range of the lighting device, t d As is the delay time of the lighting device,
is a pedestrian P i Time of arrival, t T For the moment when the lighting device is switched off after the former leaves the lighting range, N switch Is the total number of switching times, T, of the lighting device light A total duration of time for which the lighting device is turned on;
when the pedestrian P i+1 Reaching the lamp range only after the lighting unit has been switched off, i.e.
Then N is switch Plus 1, T light ＝(L l /v i )+t d Update t T (ii) a When the pedestrian P i+1 Reaching the lamp range before the lighting unit is switched off, i.e.
When, N switch The temperature of the molten steel is not changed,
updating t T (ii) a When the pedestrian P i+1 Anti-pedestrian P i Leaving the range of illumination before the lighting device is switched off, i.e.
Then N is switch And T light Remains unchanged while t T Remain unchanged.
Setting the lighting equipment to be started once, reducing the service life of the lighting equipment by h hours, setting the total switching frequency of the lighting equipment to be M times, and setting the electric charge per degree to be S 1 The price of the bulb of the lighting device is S 2 The power of the lighting equipment is P, the labor cost for replacing the bulb is a yuan, and the constructed objective function is as follows:
and calculating the optimal delay time of the lighting equipment by utilizing a chaotic particle swarm optimization algorithm.
The utility model provides a garden intelligence illumination time delay automatic regulating apparatus includes:
the human body sensing equipment is used for counting people stream data entering an illumination range;
the first prediction module is connected with the human body induction equipment and used for predicting the flow of people entering the illumination range in the next time period according to historical people flow data;
the second prediction module is connected with the first prediction module and used for generating pedestrian data according to the predicted pedestrian flow entering the illumination range in the next time;
and the lamp control module is connected with the second prediction module and used for calculating the optimal delay time of the lighting equipment in the next time period according to the pedestrian data, and then controlling the lighting equipment in the next time period according to the calculated optimal delay time to finish the intelligent lighting delay automatic adjustment of the park.
The invention has the following beneficial effects:
when the intelligent lighting time-delay automatic adjusting method and the intelligent lighting time-delay automatic adjusting device for the park are in specific operation, the pedestrian flow entering the lighting range in the next time period is predicted, the pedestrian flow entering the lighting range in the next time period is obtained according to the prediction result to generate pedestrian data, the optimal time-delay time of the lighting equipment in the next time period is calculated according to the pedestrian flow, then the lighting equipment is controlled in the next time period according to the calculated optimal time-delay time, the balance state of the switching frequency and the lighting time is achieved, the energy is saved, and meanwhile, the service life of a bulb is prolonged.
Drawings
FIG. 1 is a flow chart of the present invention;
FIG. 2 is a frame diagram of the chaotic particle swarm optimization algorithm in the present invention;
fig. 3 is a corresponding relationship diagram of different people stream densities and generated optimal delay times.
Detailed Description
The invention is described in further detail below with reference to the accompanying drawings:
referring to fig. 1, the intelligent time delay automatic adjusting method for park illumination according to the present invention includes the following steps:
1) counting people flow data entering an illumination range;
2) predicting the flow of people entering the illumination range in the next time period according to historical people flow data;
3) generating pedestrian data according to the predicted pedestrian flow entering the illumination range at the next time;
4) calculating the optimal delay time of the lighting equipment in the next time period according to the pedestrian data obtained in the step 3), and then controlling the lighting equipment in the next time period according to the calculated optimal delay time to finish the intelligent lighting delay automatic adjustment of the park.
In the step 2), a time series model is adopted to predict the pedestrian volume entering the illumination range in the next time period according to historical pedestrian flow data, and the specific prediction process is as follows:
judging whether the time sequence is stable or not according to historical people flow data, checking the variance, trend and change rule of the time sequence, and predicting the people flow entering the illumination range in the next time period through a time sequence function corresponding to the current time sequence when the current time sequence is stable; when the current time sequence is not stable, the current time sequence is subjected to differential processing, an autocorrelation function value and a partial autocorrelation function value are respectively obtained until the autocorrelation function value and the partial autocorrelation function value fluctuate from zero to top, then non-white noise inspection is carried out on the processed time sequence, an ARIMA model is used for modeling, and finally the time sequence model is used for prediction, and as the human flow can change along with time, the trend of the human flow can also change, and the time sequence model needs to be updated at intervals.
The specific operation of the step 3) is as follows:
the pedestrian data are wholly subjected to normal distribution, on the basis, the arrival time is locally subjected to Poisson distribution, each pedestrian is an independent individual, the influence is not generated, the probability of the arrival of each pedestrian is the same, and the speed of the pedestrian is subjected to normal distribution.
The specific process of calculating the optimal delay time in the step 4) is as follows:
pedestrian P i When leaving the light range, the pedestrian P i+1 With two relative positions, i.e. when the pedestrian P i+1 When the lighting equipment is started when the lighting range is entered, the corresponding switching times of the lighting equipment are not changed; when the pedestrian P i+1 When the lighting equipment is turned off when the lighting range is entered, adding 1 to the corresponding number of times of turning on and turning off the lighting equipment;
is provided with L l As the sensing range of the lighting device, t d As is the delay time of the lighting device,
is a pedestrian P i Time of arrival, t T For the moment when the lighting device is switched off after the former leaves the lighting range, N switch Is the total number of switching times, T, of the lighting device light Total length of time for the lighting device to turn on;
when the pedestrian P i+1 The illumination range is reached only after the lighting device has been switched off, i.e.
Then N is switch Plus 1, T light ＝(L l /v i )+t d Update t T (ii) a When the pedestrian P i+1 Reaching the lamp range before the lighting unit is switched off, i.e.
When, N switch The temperature of the molten steel is not changed,
updating t T (ii) a When the pedestrian P i+1 Anti-pedestrian P i Leaving the range of illumination before the lighting device is switched off, i.e.
Then N is switch And T light Remains unchanged while t T Remain unchanged.
If the lighting equipment is started once, the service life of the lighting equipment is reduced by h hours, the total switching times of the lighting equipment is M times, and the electric charge per degree is S 1 The price of the bulb of the lighting device is S 2 The power of the lighting equipment is P, the labor cost for replacing the bulb is a yuan, and the constructed objective function is as follows:
the optimal delay time of the lighting equipment is calculated by utilizing a chaotic particle swarm optimization algorithm, and the specific process is as follows: delay time t of intelligent illuminating lamp d Mapping the solution space to an algorithm space, and randomly generating a group of uniformly distributed initial solutions in the algorithm space, wherein the initial solutions are a group of delay times t of the particles d Searching an individual in an algorithm space to obtain a plurality of candidate solutions according to a cost function in the intelligent illumination model, updating particles according to rules, chaotically optimizing an optimal position, repeating the process until convergence, and finally restoring the solution space to obtain delay time t d The algorithm framework is shown in fig. 2.
For different light sources, the loss of the switch to the service life of the bulb is different, fig. 3 shows that the light source takes an energy-saving lamp as an example, and different people stream densities of different bulbs with different specifications generate corresponding optimal delay times through an optimization algorithm.
The intelligent lighting time-delay automatic regulating device for the garden comprises:
the human body sensing equipment is used for counting people stream data entering an illumination range;
the first prediction module is connected with the human body induction equipment and used for predicting the flow of people entering the illumination range in the next time period according to historical people flow data;
the second prediction module is connected with the first prediction module and used for generating pedestrian data according to the predicted pedestrian flow entering the illumination range in the next time;
and the lamp control module is connected with the second prediction module and used for calculating the optimal delay time of the lighting equipment in the next time period according to the pedestrian data, and then controlling the lighting equipment in the next time period according to the calculated optimal delay time to finish the intelligent lighting delay automatic adjustment of the park.
The intelligent lamp can predict the flow of people in the next time period according to the flow of people and obtain the optimal delay time through an optimization algorithm aiming at different types of roads in a park, namely a linear road, a T-shaped road and a cross road, so that the balance state of the switching times and the lighting time is achieved, the service life of a bulb is prolonged while energy is saved, the resource waste caused by the fixed lighting delay time of the lamp under different people flow densities can be avoided, the service life of the intelligent lamp can be prolonged while the resource is saved, and the cost is reduced.
Claims (5)
1. An intelligent illumination time delay automatic adjustment method for a park is characterized by comprising the following steps:
1) counting people flow data entering an illumination range;
2) predicting the flow of people entering the illumination range in the next time period according to historical people flow data;
3) generating pedestrian data according to the predicted pedestrian flow entering the illumination range at the next time;
4) calculating the optimal delay time of the lighting equipment in the next time period according to the pedestrian data obtained in the step 3), and then controlling the lighting equipment in the next time period according to the calculated optimal delay time to finish the intelligent lighting delay automatic adjustment of the park.
2. The intelligent lighting delay automatic adjustment method for the park according to claim 1, wherein a time series model is adopted in the step 2) to predict the flow of people entering the lighting range in the next time period according to historical people flow data.
3. According to the rightThe intelligent automatic regulation method for lighting delay of park of claim 1, wherein the lighting equipment is set to be turned on once, the service life of the lighting equipment is reduced by h hours, the total number of times of turning on and off the lighting equipment is M times, and the electricity charge per degree is S 1 The price of the bulb of the lighting device is S 2 The power of the lighting equipment is P, the labor cost for replacing the bulb is a yuan, and the constructed objective function is as follows:
4. the intelligent campus lighting time delay automatic regulating method of claim 1, wherein the optimal time delay of the lighting device is calculated by using chaotic particle swarm optimization algorithm.
5. The utility model provides a garden intelligence illumination time delay automatic regulating apparatus which characterized in that includes:
the human body sensing equipment is used for counting people stream data entering an illumination range;
the first prediction module is connected with the human body induction equipment and used for predicting the flow of people entering the illumination range in the next time period according to historical people flow data;
the second prediction module is connected with the first prediction module and used for generating pedestrian data according to the predicted pedestrian flow entering the illumination range in the next time;
and the lamp control module is connected with the second prediction module and used for calculating the optimal delay time of the lighting equipment in the next time period according to the pedestrian data, and then controlling the lighting equipment in the next time period according to the calculated optimal delay time to finish the intelligent lighting delay automatic adjustment of the park.
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| CN112906953B (en) * | 2021-02-04 | 2023-12-22 | 杭州涂鸦信息技术有限公司 | People flow prediction method, device, computer equipment and readable storage medium |
| CN114442500B (en) * | 2022-01-20 | 2024-01-05 | 广州格莱玛电工器材有限公司 | Control method, device and equipment of lighting system |
| CN116828677B (en) * | 2023-06-29 | 2024-01-05 | 冠奕达防爆电器有限公司 | Intelligent control method and system for indoor lamplight group |
| 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 |
| CN117693098B (en) * | 2024-01-31 | 2024-04-12 | 山东高特智慧标识有限公司 | Lamplight wake-up control method and system applied to park |
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