CN116321634A - Intelligent light control system for garden landscape - Google Patents
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- 238000012360 testing method Methods 0.000 claims description 9
- 239000000284 extract Substances 0.000 claims description 7
- 238000013473 artificial intelligence Methods 0.000 claims description 6
- 238000003062 neural network model Methods 0.000 claims description 6
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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
- H05B47/165—Controlling the light source following a pre-assigned programmed sequence; Logic control [LC]
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
- G06N3/084—Backpropagation, e.g. using gradient descent
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/60—Extraction of image or video features relating to illumination properties, e.g. using a reflectance or lighting model
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
- G06V10/82—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
- G06V20/53—Recognition of crowd images, e.g. recognition of crowd congestion
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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
Abstract
The invention discloses an intelligent light control system for garden landscapes, relates to the technical field of light intelligent control, and solves the technical problem that a light control scheme cannot provide comfortable atmosphere for tourists because people like preference cannot be accurately estimated when the flow of people is large in the prior art; according to the invention, age groups or age proportion and sex proportion in the people stream information are extracted to generate a preference evaluation sequence, and light preference data corresponding to the people stream information is obtained by combining a preference evaluation model; the tourist preference can be reasonably predicted, the matching error caused by large flow of people is avoided, and the tourist experience is further improved; according to the invention, people flow information of a landscape area can be divided into a plurality of integers, a plurality of integral sightseeing routes are predicted by combining a route topology model, and lamps on the sightseeing routes are adjusted according to corresponding lamplight preference data; the lamp control can be timely and accurately realized, and the data processing capacity can be reduced to a certain extent.
Description
Technical Field
The invention belongs to the field of intelligent light control, relates to intelligent light control technology for garden landscapes, and particularly relates to an intelligent light control system for garden landscapes.
Background
In order to meet the demands of people on the night scenes of the garden landscapes, designers have higher demands on the lamp designs of the garden landscapes, and pursue of fusion of light and shadow and landscapes is started, so that different visual experiences are provided for tourists. The traditional lighting control strategy is simple and complex to operate, and the requirements on landscape lamp management and control cannot be met.
The Chinese patent application with the publication number of CN112235920A discloses an intelligent control method and system for landscape lamp light, whether a first person exists is judged through image information and pressure signals, if so, a first atmosphere preference assessment result is obtained according to age interval information, sex information and wearing information of a first task, and first lamp light position information is obtained by combining height information of the first task, so that a first lamp light control scheme is generated. In the prior art, the lamplight is intelligently controlled by identifying the figures and the figure favorites, and the figure favorites cannot be accurately evaluated when the flow of the figures is large, so that a lamplight control scheme cannot provide comfortable atmosphere for tourists; accordingly, there is a need for an intelligent light control system for garden landscapes.
Disclosure of Invention
The present invention aims to solve at least one of the technical problems existing in the prior art; therefore, the invention provides an intelligent light control system for garden landscapes, which is used for solving the technical problem that the light control scheme cannot provide comfortable atmosphere for tourists because people like the people cannot be accurately estimated when the people flow is large in the prior art.
To achieve the above object, a first aspect of the present invention provides an intelligent light control system for garden landscapes, comprising a central control module, and a data acquisition module and a light control module connected with the central control module;
the data acquisition module acquires image data in a landscape area through an image acquisition device connected with the data acquisition module and acquires environment data in the landscape area through an environment sensor connected with the data acquisition module; the image acquisition equipment and the environment sensor are uniformly distributed in the landscape area;
the central control module builds a route topology model based on the tour route and the lamp position in the landscape area; identifying people flow information in the landscape area based on the image data, matching corresponding lamplight preference data by combining the preference evaluation model, and associating the people flow information and the lamplight preference data with a tour route in the route topology model;
the light control module timely extracts people flow information and light preference data corresponding to each tour route from the route topology model, and combines the environment data to control the light emitting information of the lamps in the corresponding tour route; the lighting information of the lamp comprises the brightness and the color of the lamp, and the people stream information comprises the number of tourists, the age of the tourists and the sex of the tourists.
Preferably, the central control module is respectively in communication and/or electric connection with the data acquisition module and the light control module; the lamplight control module is used for intelligently controlling lamps in the scenic region;
the data acquisition module is respectively in communication and/or electrical connection with the image acquisition equipment and the environment sensor; wherein, image acquisition equipment and environmental sensor rationally evenly set up in the view region.
Preferably, the hub control module builds a route topology model based on the tour route and the luminaire location within the landscape area, including:
the intelligent terminal is used for acquiring a tour route and a lamp position of a landscape area;
constructing a route topology model by taking at least one entrance of the landscape area as a starting point and combining the sightseeing routes and the connection relation among the sightseeing routes; meanwhile, the lamp is associated with the tour route according to the position of the lamp.
Preferably, the identifying people stream information in the landscape area based on the image data and matching the corresponding lamplight preference data with the preference evaluation model includes:
identifying image data and extracting people stream information in the image data; dividing a plurality of age groups and corresponding gender proportions based on people stream information, and integrating the age groups and the corresponding gender proportions to generate a preference evaluation sequence;
inputting the preference evaluation sequence into a preference evaluation model to acquire corresponding lamplight preference data; the preference assessment model is built based on an artificial intelligent model, and lamplight preference data specifically comprise three primary color proportions of preference atmosphere.
Preferably, the preference evaluation model is constructed based on an artificial intelligence model, and comprises:
testing the lamplight atmosphere favored by different age groups and corresponding different sex ratios; extracting age groups and gender proportions in the test data, integrating the age groups and the gender proportions into model input data, and taking light preference data corresponding to light atmosphere as model output data;
training the constructed artificial intelligent model through a plurality of model input data and corresponding model output data, and marking the trained artificial intelligent model as a preference evaluation model; wherein the artificial intelligence model comprises a BP neural network model or an RBF neural network model.
Preferably, the lamplight control module extracts the people stream information and lamplight preference data corresponding to each tour route from the route topology model in time, and the lamplight control module comprises:
extracting people stream information and corresponding lamplight preference data from the route topology model;
the lighting information of the lamp is intelligently adjusted by combining the environment data and the lamplight preference data corresponding to the people stream information position; wherein the environmental data includes visibility and light intensity.
A second aspect of the present invention provides an intelligent light control method for a garden landscape, comprising:
collecting image data and environment data in a landscape area;
constructing a route topology model based on the tour route and the lamp position in the landscape area; identifying people flow information in the landscape area based on the image data, matching corresponding lamplight preference data by combining the preference evaluation model, and associating the people flow information and the lamplight preference data with a tour route in the route topology model;
extracting people flow information and lamplight preference data corresponding to each tour route from the route topology model in time, and controlling the lighting information of lamps in the corresponding tour route by combining the environment data; the lighting information of the lamp comprises the brightness and the color of the lamp, and the people stream information comprises the number of tourists, the age of the tourists and the sex of the tourists.
A third aspect of the present invention provides an intelligent light control apparatus for a garden landscape, comprising a storage medium and a processor; the storage medium stores operation instructions, and the processor executes the operation instructions to control the intelligent light control system for garden landscapes to operate.
Compared with the prior art, the invention has the beneficial effects that:
1. according to the invention, the age group or age proportion and sex proportion in the people stream information are extracted to generate a preference evaluation sequence, and the preference evaluation model obtained by utilizing a large amount of measurement data is combined to obtain lamplight preference data corresponding to the people stream information, so that lamplight adjustment is completed according to the matched lamplight atmosphere; the tourist preference can be reasonably predicted, the large matching error caused by the flow of people is avoided, and the tourist experience is further improved.
2. According to the invention, people flow information of a landscape area can be divided into a plurality of integers, a plurality of integral tour routes are predicted by combining a route topology model, and lamps on the tour routes are adjusted according to corresponding lamp preference data, or lamp preference data of tourists corresponding to the positions of the lamps are directly extracted from the route topology model to adjust the lamps; the lamp control can be timely and accurately realized, and the data processing capacity can be reduced to a certain extent.
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In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram of the system principle of the present invention;
FIG. 2 is a schematic diagram of the working steps of the present invention;
fig. 3 is a schematic view of the structure of the device of the present invention.
Detailed Description
The technical solutions of the present invention will be clearly and completely described in connection with the embodiments, and it is obvious that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, an embodiment of a first aspect of the present invention provides an intelligent light control system for garden landscapes, including a central control module, and a data acquisition module and a light control module connected thereto; the data acquisition module acquires image data in a landscape area through an image acquisition device connected with the data acquisition module and acquires environment data in the landscape area through an environment sensor connected with the data acquisition module; the central control module builds a route topology model based on the tour route and the lamp position in the landscape area; identifying people flow information in the landscape area based on the image data, matching corresponding lamplight preference data by combining the preference evaluation model, and associating the people flow information and the lamplight preference data with a tour route in the route topology model; the light control module timely extracts people flow information and light preference data corresponding to each tour route from the route topology model, and combines the environment data to control the light emitting information of the lamps in the corresponding tour route.
In the invention, a central control module is respectively communicated and/or electrically connected with a data acquisition module and a light control module; the lamplight control module is used for intelligently controlling lamps in the scenic region; the data acquisition module is respectively in communication and/or electrical connection with the image acquisition equipment and the environment sensor; wherein, image acquisition equipment and environmental sensor rationally evenly set up in the view region.
The central control module is mainly responsible for processing data in the landscape area, and is controlled by the processor to interact with the data acquisition module, the intelligent terminal and the light control module. The data acquisition module is equivalent to a data transfer station, and the data is acquired by the image acquisition equipment and the environment sensor and then sent to the central control module. The light control module controls various lamps in the landscape area according to the data processing result of the central control module.
The image acquisition equipment is the cameras uniformly distributed in the landscape area, the image data acquired by the cameras do not need to be particularly clear, people flow information can be recognized in a fuzzy manner in the later period, and the privacy of tourists is not violated; the environmental sensors are also distributed in the landscape area, such as light intensity sensors and air detectors, and of course, the environmental sensors can also comprise temperature sensors, humidity sensors and the like, and the lamplight can be controlled according to the temperature and the humidity to adjust the atmosphere. It should be noted that, the lamplight preference data obtained finally is actually three primary colors in lamplight atmosphere, and the specific brightness adjustment needs to be combined with the environmental data collected in real time by the environmental sensor so as to ensure that the brightness of the lamp is proper.
The lighting information of the lamp mainly comprises the lighting brightness and the lamp color of the lamp, the lamp color can be single color or mixed color, and the atmosphere is regulated mainly by constructing three primary color ratios of scenes of various lamps; the people stream information is mainly data related to lamplight preference, such as the number of tourists, the ages of the tourists, the gender of the tourists and the like, if only one person exists in the people stream information, the lamplight preference data are matched according to the ages and the sexes, and if more persons exist in the people stream information, the lamplight preference data are matched according to the ages and the gender proportions.
The invention discloses a central control module for constructing a route topology model based on a sightseeing route and a lamp position in a landscape area, which comprises the following steps: the intelligent terminal is used for acquiring a tour route and a lamp position of a landscape area; constructing a route topology model by taking at least one entrance of the landscape area as a starting point and combining the sightseeing routes and the connection relation among the sightseeing routes; meanwhile, the lamp is associated with the tour route according to the position of the lamp.
The intelligent terminal is mainly a mobile phone or a computer, and staff upload the sightseeing route and the lamp position of the landscape area to the central control module through the intelligent terminal. The central control module builds a model of each tour route based on a GIS technology, namely the distribution of the tour routes in a landscape area and the connection relation among the tour routes, and then associates the light positions with the corresponding flow routes. If there is no luminaire in the tour route, the tour route may not be considered when constructing the route topology model.
The route topology model in the invention is equivalent to a tree diagram, the tour route at the entrance of the landscape area is used as a main branch, the tour route is connected with the tour route as a branch, and the branch can be connected with the tour route. The route topology model is actually equivalent to a dynamic diagram of the people flow in the landscape area, so that the lamplight control module can conveniently acquire data to control the lamp.
Embodiment one: the embodiment describes how to construct a preference evaluation model and how to acquire lamplight preference data corresponding to people stream information.
How to construct a preference assessment model: the preference assessment model is constructed based on an artificial intelligence model, and comprises the following steps: testing the lamplight atmosphere favored by different age groups and corresponding different sex ratios; extracting age groups and gender proportions in the test data, integrating the age groups and the gender proportions into model input data, and taking light preference data corresponding to light atmosphere as model output data; and training the constructed artificial intelligent model through a plurality of model input data and corresponding model output data, and marking the trained artificial intelligent model as a preference evaluation model.
The preference evaluation model in this embodiment selects an artificial intelligence model with a strong nonlinear fitting capability, such as a BP neural network model or an RBF neural network model, and uses the most basic three-layer structure (input layer, hidden layer and output layer) thereof.
Model training data then needs to be acquired. According to the embodiment, the tourists with different combinations of the sexes in a plurality of age groups are selected through the test mode, the built-in light atmospheres are displayed to the tourists, the tourists can actively select the light atmospheres, and the light atmospheres with the greatest selection can be used as the light atmospheres favored by the tourists. The age group and sex combination preferably covers all, such as adult, minor and elderly, the sex combination is a male and female ratio of 1: 1. 1: 2. 1: 3. 1:0.5, etc.; after determining the favorite lamplight atmosphere, the proportion of three primary colors (such as red, yellow and blue) of the lamplight atmosphere can be extracted as model output data, so that enough model training data can be obtained to ensure the accuracy of the preference evaluation model.
In an alternative embodiment, different age combinations may be set at the time of testing, such as a minor, an adult, and an elderly; setting the corresponding gender combinations according to different age combinations, wherein the gender proportions of the men and the women are as follows: 2:3. testing in this manner allows a wide variety of model training data to be obtained and sets the age group to fit the actual guest situation.
The model input data of the present embodiment may be [ age group, sex ratio ] or [ age group, sex ratio ], but it is also possible to determine an age group, such as [ age group, sex group ], based on the determined age group; the model output data may be [ red: yellow: blue ]. The data can be used to train artificial intelligent model after data processing.
The lamplight preference data corresponding to the people stream information can be acquired: identifying people stream information in a landscape area based on the image data, and matching corresponding lamplight preference data by combining a preference evaluation model, wherein the method comprises the following steps: identifying image data and extracting people stream information in the image data; dividing a plurality of age groups and corresponding gender proportions based on people stream information, and integrating the age groups and the corresponding gender proportions to generate a preference evaluation sequence; and inputting the preference evaluation sequence into a preference evaluation model to acquire corresponding lamplight preference data.
After the people stream information is extracted according to the image data, a preference evaluation sequence is generated by referring to model input data, and the preference evaluation sequence is input into a preference evaluation model to acquire lamplight preference data. And proper lamplight atmosphere can be obtained by matching the ratio of the three primary colors corresponding to the preference data of the lamp tube. It should be noted that, the content attribute of the preference evaluation series needs to be consistent with the model input data when the preference evaluation model is trained.
It is worth noting that after the lamplight preference data are obtained, the lamplight preference data and the people stream information are timely related to the corresponding tour route, so that the lamplight control module can be read conveniently.
Embodiment two: describing how the light control module completes intelligent adjustment of light in the landscape area according to the route topology model.
The lamplight control module extracts the people stream information and lamplight preference data corresponding to each tour route from the route topology model in time, and the lamplight control module comprises the following components: extracting people stream information and corresponding lamplight preference data from the route topology model; and the lighting information of the lamp is intelligently adjusted by combining the environment data and the lamplight preference data corresponding to the people stream information position.
The light control module reads people flow information corresponding to the sightseeing route of the area where each lamp is located and matched light preference data from the route map model at regular time, and adjusts the brightness and the color of the corresponding lamp according to the lamp preference data as far as possible to the light atmosphere matched with the light preference data.
Of course, the people stream information can be identified, that is, if the people stream information is fixed, for example, the number of tourists, the age proportion and the sex proportion in the people stream information are unchanged (or the change is very small), the people stream information is taken as a whole, and the corresponding lamplight preference data is unchanged. In the light adjusting process, the position of the people flow information as a whole is timely/predicted and extracted, and the adjustment of the lamp at the corresponding position can be realized. In theory, people flow information in the landscape area can be divided into a plurality of whole bodies, so that the calculation amount for acquiring the preference data of the lamp tube is reduced.
Referring to fig. 2, an embodiment of a second aspect of the present invention provides an intelligent light control method for garden landscapes, including: collecting image data and environment data in a landscape area; constructing a route topology model based on the tour route and the lamp position in the landscape area; identifying people flow information in the landscape area based on the image data, matching corresponding lamplight preference data by combining the preference evaluation model, and associating the people flow information and the lamplight preference data with a tour route in the route topology model; and extracting people flow information and lamplight preference data corresponding to each tour route from the route topology model in time, and controlling the lighting information of the lamps in the corresponding tour route by combining the environment data.
In the intelligent light control method provided by the embodiment of the invention, when light adjustment is needed, image data and environment data of a landscape area are collected, people stream information is identified according to the image data, and light preference data corresponding to the people stream information is matched by combining an artificial intelligent model, so that light control of each tour route in the landscape area can be completed. It should be noted that, here, the people stream information does not relate to the privacy data of the tourists, and mainly includes the number of the tourists in the visible range of the corresponding image capturing device, the sex of the tourists and the age of the tourists. The lamplight preference data corresponding to the people stream information, mainly the brightness and the color, are mined through the artificial intelligent model, and are associated with the corresponding tour route, so that the lamp can be controlled in time according to the lamplight preference data.
The method is different from the traditional method in that: the method not only can intelligently adjust the light brightness, but also can dig out the light atmosphere most suitable for tourists in the batch by combining people flow information. After the light is adjusted, the tourists can be in proper light atmosphere, and user experience is further improved.
Referring to fig. 3, an embodiment of a third aspect of the present invention provides an intelligent light control apparatus for garden landscapes, comprising a storage medium and a processor; the storage medium stores operation instructions, and the processor executes the operation instructions to control the intelligent light control system for garden landscapes to operate.
The storage medium in the embodiment of the present aspect may be a physical hard disk, or may be a cloud storage. Wherein the stored operating instructions are executable computer programs, which are stored in a storage medium after being pre-programmed. When the light adjustment (night curtain fall or insufficient light) is needed, the processor extracts and executes the operation instruction, and then the central control module, the data acquisition module and the light control module are controlled to work. Therefore, the processor executes the operation command, which corresponds to the start control program, and the following work is performed according to the intelligent light control method for garden landscapes disclosed above.
The working principle of the invention is as follows:
constructing a route topology model based on the tour route and the lamp position in the landscape area; and identifying people stream information in the landscape area based on the image data, matching corresponding lamplight preference data by combining the preference evaluation model, and associating the people stream information and the lamplight preference data with the tour route in the route topology model.
Extracting people flow information and lamplight preference data corresponding to each tour route from the route topology model in time, and controlling the lighting information of lamps in the corresponding tour route by combining the environment data; the lighting information of the lamp comprises the brightness and the color of the lamp, and the people stream information comprises the number of tourists, the age of the tourists and the sex of the tourists.
The above embodiments are only for illustrating the technical method of the present invention and not for limiting the same, and it should be understood by those skilled in the art that the technical method of the present invention may be modified or substituted without departing from the spirit and scope of the technical method of the present invention.
Claims (8)
1. The intelligent light control system for the garden landscape comprises a central control module, and a data acquisition module and a light control module which are connected with the central control module; the method is characterized in that:
the data acquisition module acquires image data in a landscape area through an image acquisition device connected with the data acquisition module and acquires environment data in the landscape area through an environment sensor connected with the data acquisition module;
the central control module builds a route topology model based on the tour route and the lamp position in the landscape area; identifying people flow information in the landscape area based on the image data, matching corresponding lamplight preference data by combining the preference evaluation model, and associating the people flow information and the lamplight preference data with a tour route in the route topology model;
the light control module timely extracts people flow information and light preference data corresponding to each tour route from the route topology model, and combines the environment data to control the light emitting information of the lamps in the corresponding tour route; the lighting information of the lamp comprises the brightness and the color of the lamp, and the people stream information comprises the number of tourists, the age of the tourists and the sex of the tourists.
2. The intelligent light control system for a garden landscape of claim 1, wherein the hub control module is in communication and/or electrical connection with the data acquisition module and the light control module, respectively; the lamplight control module is used for intelligently controlling lamps in the scenic region;
the data acquisition module is respectively in communication and/or electrical connection with the image acquisition equipment and the environment sensor; wherein, image acquisition equipment and environmental sensor rationally evenly set up in the view region.
3. The intelligent lighting control system for a garden landscape of claim 1, wherein the hub control module builds a route topology model based on tour routes and luminaire locations within a landscape area, comprising:
the intelligent terminal is used for acquiring a tour route and a lamp position of a landscape area;
constructing a route topology model by taking at least one entrance of the landscape area as a starting point and combining the sightseeing routes and the connection relation among the sightseeing routes; meanwhile, the lamp is associated with the tour route according to the position of the lamp.
4. The intelligent lighting control system for garden landscapes of claim 1 wherein said identifying people stream information within a landscape area based on image data, in combination with a preference assessment model, matches corresponding lighting preference data comprises:
identifying image data and extracting people stream information in the image data; dividing a plurality of age groups and corresponding gender proportions based on people stream information, and integrating the age groups and the corresponding gender proportions to generate a preference evaluation sequence;
inputting the preference evaluation sequence into a preference evaluation model to acquire corresponding lamplight preference data; the preference assessment model is built based on an artificial intelligent model, and lamplight preference data specifically comprise three primary color proportions of preference atmosphere.
5. The intelligent light control system for a garden landscape of claim 1, wherein the preference assessment model is constructed based on an artificial intelligence model, comprising:
testing the lamplight atmosphere favored by different age groups and corresponding different sex ratios; extracting age groups and gender proportions in the test data, integrating the age groups and the gender proportions into model input data, and taking light preference data corresponding to light atmosphere as model output data;
training the constructed artificial intelligent model through a plurality of model input data and corresponding model output data, and marking the trained artificial intelligent model as a preference evaluation model; wherein the artificial intelligence model comprises a BP neural network model or an RBF neural network model.
6. The intelligent lighting control system for garden landscapes of claim 4 wherein said lighting control module extracts the people stream information and the lighting preference data corresponding to each tour route from the route topology model in time, comprising:
extracting people stream information and corresponding lamplight preference data from the route topology model;
the lighting information of the lamp is intelligently adjusted by combining the environment data and the lamplight preference data corresponding to the people stream information position; wherein the environmental data includes visibility and light intensity.
7. A method of intelligent light control for garden landscapes operating based on the intelligent light control system for garden landscapes of any one of claims 1 to 6, comprising:
collecting image data and environment data in a landscape area;
constructing a route topology model based on the tour route and the lamp position in the landscape area; identifying people flow information in the landscape area based on the image data, matching corresponding lamplight preference data by combining the preference evaluation model, and associating the people flow information and the lamplight preference data with a tour route in the route topology model;
extracting people flow information and lamplight preference data corresponding to each tour route from the route topology model in time, and controlling the lighting information of lamps in the corresponding tour route by combining the environment data; the lighting information of the lamp comprises the brightness and the color of the lamp, and the people stream information comprises the number of tourists, the age of the tourists and the sex of the tourists.
8. The intelligent light control device for the garden landscape is characterized by comprising a storage medium and a processor; the storage medium stores operating instructions, and execution of the operating instructions by the processor controls operation of the intelligent light control system for garden landscapes of any one of claims 1 to 6.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202310210338.9A CN116321634A (en) | 2023-03-07 | 2023-03-07 | Intelligent light control system for garden landscape |
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| CN202310210338.9A CN116321634A (en) | 2023-03-07 | 2023-03-07 | Intelligent light control system for garden landscape |
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| CN113260128A (en) * | 2021-05-17 | 2021-08-13 | 南京林业大学 | Landscape lighting intelligent control method and system |
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