CN111148329A - Intelligent lighting system and control method thereof - Google Patents
Intelligent lighting system and control method thereof Download PDFInfo
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- CN111148329A CN111148329A CN202010015273.9A CN202010015273A CN111148329A CN 111148329 A CN111148329 A CN 111148329A CN 202010015273 A CN202010015273 A CN 202010015273A CN 111148329 A CN111148329 A CN 111148329A
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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 lighting system and a control method thereof, wherein the system comprises a management module, an interaction module, a data collection module and an interface module, the management module further comprises an algorithm management unit, a working environment management unit and an environment numerical value management unit, the data collection module further comprises a data navigation unit, a data parameter unit, a screening unit, an uploading unit and a data display unit, and the interface module further comprises an interface navigation unit, an interface parameter unit, a function unit and a result display unit. According to the invention, through intelligent strategy analysis, front-end user data from the Internet of things and network technology can find out more accurate lighting requirements and use rules through a larger-scale sample size, richer and more complex application scenes and a more advanced model algorithm, so that the control strategy is more efficient, and the intelligent lighting technology gradually develops towards the direction of system integration.
Description
Technical Field
The invention relates to the technical field of data mining, in particular to an intelligent lighting system and a control method thereof.
Background
Under the guidance and support of policies, the construction of smart cities in China is from endless to rare, and the situation is that people turn on the spot and the face from star fire to singe. The intelligent lighting is an important component of a smart city and is a development direction of future lighting. The high-speed development of the digital technology represented by big data and the Internet of things promotes the demands of people on illumination diversification and intellectualization, and simultaneously brings opportunities and challenges to the whole illumination industry. In the future, the lighting infrastructure will be integrated into the data network, the lighting system will gradually develop from manual control to automation, intellectualization and networking, the functions of sensing environmental changes, automatically adjusting light intensity, setting scenes and the like are realized through distributed remote measurement and remote control, and with the wide application of the intelligent lighting equipment, the development will gradually change towards semiconductor lighting, greening, standardization, networking and personalization.
Intellectualization has become a problem that every lighting enterprise can not avoid, and many domestic lighting enterprises have entered the intelligent lighting field and made various attempts of intelligent products, thereby increasing profits. The core of intelligent illumination is intelligent illumination control, which is a network type control system specially applied to illumination, can control strong electricity by weak electricity, and can be directly applied to control of an illumination system and power supply and power failure; the intelligent control of the illumination can be realized by taking the dimming of the environment as a main characteristic; the system has a control function of presetting illumination for multiple scenes.
Along with the pace that lighting enterprises enter the intelligent lighting field at all times, the control strategy algorithm of the intelligent lighting system becomes a new research subject, and the control strategy algorithm software for the intelligent lighting system is not provided in the industry at present.
Disclosure of Invention
In order to solve the problems in the related art, the embodiment of the invention provides an intelligent lighting system and a control method thereof, and solves the problems of slow timeliness, poor consistency and difficult system maintenance work of the original system.
The embodiment of the invention provides an intelligent lighting system which comprises a management module, an interaction module, a data collection module and an interface module, wherein the management module further comprises an algorithm management unit, a working environment management unit and an environment numerical value management unit;
the interaction module is used for data interaction and resource sharing;
the data navigation unit is used for selecting data and jumping to a data column page when clicking other columns;
the screening unit is used for screening the data and displaying the screened data;
the uploading unit is used for downloading the template for importing the data, and simultaneously inputting and uploading the data;
the data display unit is used for deleting the logic place of the working environment management unit in the database;
the interface navigation unit is used for selecting a control strategy and jumping to an interface column page when clicking other columns;
the functional unit is used for calculating and displaying a calculation result.
Further, the data parameter unit comprises a data parameter selection unit and a data parameter input unit, the data parameter selection unit comprises a building type, a working environment, a working surface type and a behavior mode, and the data parameter input unit comprises a number, a group name, time and a light climate zone.
Further, the interface parameter unit comprises an interface parameter selection unit and an interface parameter input unit, wherein the interface parameter input unit comprises a value type, a lighting coefficient, ideal desktop illumination, correlated color temperature, a calculation period timer, a difference threshold, a light climate zone, outdoor sky illumination and outdoor natural light correlated color temperature.
Further, the uploading unit further feeds back relevant data of actual use.
A method of controlling an intelligent lighting system, comprising the steps of:
inputting an algorithm formula, output parameters, a program and a description into the algorithm model;
index information is accessed through an intelligent lighting system control strategy interface of the cloud platform, and control strategy parameters are output through algorithm model calculation;
the application scene uses the control strategy parameters and returns the actual data;
optimizing the model by applying an optimization feature combination and increasing an optimization model training set and a polynomial regression big data machine learning optimization technology;
accumulating actual data, establishing a big database, and optimizing and promoting a control strategy algorithm by applying a big data analysis mining technology and training and optimizing a model.
And further, outputting key control strategy parameters in a page and API (application program interface) mode.
Further, when actual data is returned, an interface and a system import mode are provided for data collection, and retrieval query is carried out on the collected data.
Further, the situation change of the intelligent lighting environment is obtained by analyzing massive and diversified situation information.
The technical scheme provided by the embodiment of the invention has the following beneficial effects:
1. according to the intelligent strategy analysis, the front-end user data from the Internet of things and the network technology can find more accurate lighting requirements and use rules through a larger-scale sample size, richer and more complex application scenes and a more advanced model algorithm, so that the control strategy is more efficient, and the intelligent lighting technology is gradually developed towards the direction of system integration.
2. By the continuous application of the computer network technology in the lighting industry, various control systems can be associated with one another, and the resource sharing, control processing, program setting, remote monitoring and integrated processing of abnormal information of the systems are successfully realized.
3. Through the research of an intelligent lighting control strategy algorithm, the method is developed based on multidisciplinary fusion and industrial chain integration, and the research result enables the sustainable development of the method, so that the method has extremely high social, economic and ecological benefits.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the invention, as claimed.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and together with the description, serve to explain the principles of the invention.
Fig. 1 is a schematic structural diagram of an intelligent lighting system in an embodiment of the present invention.
Fig. 2 is a flowchart of a method for controlling an intelligent lighting system according to an embodiment of the present invention.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present invention. Rather, they are merely examples of apparatus, and associated applications, methods consistent with certain aspects of the invention, as detailed in the following claims.
Fig. 1 is a schematic structural diagram of an intelligent lighting system in an embodiment of the present invention, as shown in fig. 1, the intelligent lighting system includes a management module 1, an interaction module 2, a data collection module 3, and an interface module 4, the management module further includes an algorithm management unit 11, a working environment management unit 12, and an environment value management unit 13, which provide clear, flexible, and safe management functions of users, roles, and permissions, and covers a user role permission management mechanism, different roles have different access permissions, implement different resource control combinations, and support right-giving management of functional permissions, and ensure management of system access security through a flexible and thorough permission management mechanism.
The data collection module further comprises a data navigation unit 31, a data parameter unit 32, a screening unit 33, an uploading unit 34 and a data display unit 35, wherein the data parameter unit comprises a data parameter selection unit and a data parameter input unit, the data parameter selection unit comprises a building type, a working environment, a working surface type and a behavior mode, and the data parameter input unit comprises a number, a group name, time and a light climate zone.
The interface module further comprises an interface navigation unit 41, an interface parameter unit 42, a function unit 43 and a result presentation unit 44; the interface parameter unit comprises an interface parameter selection unit and an interface parameter input unit, wherein the interface parameter input unit comprises a value type, a lighting coefficient, ideal desktop illumination, correlated color temperature, a calculation period timer, a difference threshold value, a light climate zone, outdoor sky illumination and outdoor natural light correlated color temperature.
The interaction module is used for data interaction and resource sharing, and can update data in real time.
The data navigation unit is used for selecting data, skipping to a data column page when other columns are clicked by data collection, and accurate positioning navigation is guaranteed.
The screening unit is used for screening data and displaying screened data at the same time, eliminating useless data and ensuring that the algorithm can run efficiently.
The uploading unit is used for downloading the template for importing the data, and simultaneously inputting and uploading the data; the user can feed back the relevant data of actual use through the upload button to help find the problems of the model.
The data display unit is used for deleting the logic place row of the working environment management unit in the database.
The interface navigation unit is used for selecting the control strategy and jumping to an interface column page when clicking other columns.
The functional unit is used for calculating and displaying a calculation result.
The system adopts the network application of the B/S structure, and can realize that different personnel access and operate a common database in different access modes from different places; the method can effectively protect data consistency and manage access rights, and on the basis, more accurate lighting requirements and use rules can be found through a larger-scale sample size, richer and more complex application scenes and a more advanced model algorithm, so that the control strategy is more efficient.
Fig. 2 is a flowchart of a control method of an intelligent lighting system in an embodiment of the present invention, and as shown in fig. 2, the control method of the intelligent lighting system includes the following steps:
And outputting key control strategy parameters in a page and API interface mode.
And providing an interface and a system import mode for data collection, and performing retrieval query on the collected data.
And 204, performing model optimization by using an optimization feature combination and increasing an optimization model training set and a polynomial regression big data machine learning optimization technology.
By analyzing massive and diversified situation information, the situation change of the intelligent lighting environment is obtained, the internal relevance of the event is explored, and the intelligent analysis capability is continuously expanded.
And step 205, accumulating actual data, establishing a big database, and optimizing and promoting a control strategy algorithm by applying a big data analysis mining technology and training and optimizing a model.
By adopting the embodiment of the invention, the front-end user data from the Internet of things and the network technology can find more accurate lighting requirements and use rules through a larger-scale sample size, richer and more complex application scenes and a more advanced model algorithm by intelligent strategy analysis, so that the control strategy is more efficient, and the intelligent lighting technology gradually develops towards the direction of system integration; through the continuous application of a computer network technology in the lighting industry, various control systems can be mutually associated, and the resource sharing, the control processing, the program setting, the remote monitoring and the integrated processing of abnormal information of the system are successfully realized; through the research of an intelligent lighting control strategy algorithm, the method is developed based on multidisciplinary fusion and industrial chain integration, and the research result enables the sustainable development of the method, so that the method has extremely high social, economic and ecological benefits.
Other embodiments of the invention will be apparent to those skilled in the art from consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the invention following, in general, the principles of the invention and including such departures from the present disclosure as come within known or customary practice within the art to which the invention pertains.
It will be understood that the invention is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the invention is limited only by the appended claims.
Claims (8)
1. An intelligent lighting system is characterized by comprising a management module, an interaction module, a data collection module and an interface module, wherein the management module further comprises an algorithm management unit, a working environment management unit and an environment numerical value management unit;
the interaction module is used for data interaction and resource sharing;
the data navigation unit is used for selecting data and jumping to a data column page when clicking other columns;
the screening unit is used for screening the data and displaying the screened data;
the uploading unit is used for downloading the template for importing the data, and simultaneously inputting and uploading the data;
the data display unit is used for deleting the logic place of the working environment management unit in the database;
the interface navigation unit is used for selecting a control strategy and jumping to an interface column page when clicking other columns;
the functional unit is used for calculating and displaying a calculation result.
2. The intelligent lighting system according to claim 1, wherein the data parameter unit comprises a data parameter selection unit and a data parameter input unit, the data parameter selection unit comprises a building type, a working environment, a working surface type and a behavior pattern, and the data parameter input unit comprises a number, a group name, a time and a light climate zone.
3. The intelligent lighting system according to claim 1, wherein the interface parameter unit comprises an interface parameter selection unit and an interface parameter input unit, and the interface parameter input unit comprises a value type, a lighting coefficient, an ideal desktop illumination, a correlated color temperature, a calculation period timer, a difference threshold, a light climate zone, an outdoor sky illumination and an outdoor natural light correlated color temperature.
4. The intelligent lighting system according to claim 1, wherein the uploading unit further comprises feeding back relevant data of actual usage.
5. A method of controlling an intelligent lighting system, comprising the steps of:
inputting an algorithm formula, output parameters, a program and a description into the algorithm model;
index information is accessed through an intelligent lighting system control strategy interface of the cloud platform, and control strategy parameters are output through algorithm model calculation;
the application scene uses the control strategy parameters and returns the actual data;
optimizing the model by applying an optimization feature combination and increasing an optimization model training set and a polynomial regression big data machine learning optimization technology;
accumulating actual data, establishing a big database, and optimizing and promoting a control strategy algorithm by applying a big data analysis mining technology and training and optimizing a model.
6. The method for controlling an intelligent lighting system according to claim 5, further comprising outputting key control strategy parameters by means of a page and API interface.
7. The method for controlling an intelligent lighting system according to claim 5, further comprising providing an interface and a system import mode for data collection and performing a search query on the collected data when actual data is returned.
8. The method for controlling an intelligent lighting system according to claim 5, further comprising analyzing the massive and diversified situation information to obtain the situation change of the intelligent lighting environment.
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