CN110769582A - Intelligent light control system for intelligent home - Google Patents
Intelligent light control system for intelligent home Download PDFInfo
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- CN110769582A CN110769582A CN201911102989.6A CN201911102989A CN110769582A CN 110769582 A CN110769582 A CN 110769582A CN 201911102989 A CN201911102989 A CN 201911102989A CN 110769582 A CN110769582 A CN 110769582A
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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 an intelligent home, which comprises a data acquisition module, a data analysis module, a controller, a signal generation module, a signal execution module, an information collection module and an information comparison module, wherein the data acquisition module is used for acquiring a data signal; the data acquisition module is used for acquiring the illumination intensity data, the number floating information and the sound floating information of the house in real time; the intelligent control method of the light fixture in the house comprises the steps of firstly carrying out regional division processing on the house, then carrying out differential calibration on the illumination intensity condition, the floating condition of the number of people and the floating condition of sound in each region, so as to avoid negative influence of external interference factors on the intelligent degree of light fixture control in each region, and carrying out assignment type weight analysis and refinement hierarchical processing on the light fixture control in each region after preset comparison, condition comparison and formula correction comparison respectively so as to obtain corresponding brightness signals, thereby greatly improving the reasonability of light fixture control in each region and the energy-saving and environment-friendly properties.
Description
Technical Field
The invention relates to the technical field of light control systems, in particular to an intelligent light control system for intelligent home.
Background
Compared with the traditional lighting, the intelligent lighting control system can realize the management of soft starting, dimming, one-key scene, one-to-one remote control, partition light switch and the like of the light, and supports various control modes such as remote control, timing, concentration, remote control and the like so as to achieve the purposes of energy conservation, environmental protection, comfort and convenience of intelligent lighting.
In the document with the publication number CN108040412A, the light intensity and the on-off time of the illumination lamp are set and adjusted only by directly and remotely adjusting the use state of the indoor illumination lamp according to the user, so as to meet the use requirements of people; and compare it with current intelligent light control system who is used for intelligent house, present most easily because of external interference, for example: the intelligent degree of lamp control is greatly influenced due to the fact that the lamps are turned on by mistake due to noise transmitted from the outside, noise emitted by playing equipment, sleeping state and calling related to sleeping, meanwhile, the illumination intensity condition, the number floating condition and the sound floating condition in each area are difficult to combine, and the lamps in each area are controlled to provide various light brightness according to different conditions, so that the reasonability of lamp control in each area and energy conservation and environmental protection are improved;
in addition, in the use process of the existing household lamp, the service life and the use safety of the lamp are greatly reduced easily due to long-time overuse and lack of targeted maintenance and management, and meanwhile, the lamp is difficult to be subjected to targeted and accurate vascular judgment through different overlapped processing processes in the use condition of the lamp, so that the overall use safety and the service life are improved;
in order to solve the above-mentioned drawbacks, a technical solution is now provided.
Disclosure of Invention
The invention aims to provide an intelligent light control system for intelligent home furnishing, which is characterized in that a house is divided into areas, the illumination intensity condition, the number floating condition and the sound floating condition in each area are calibrated in a differentiation mode, so that the negative influence of external interference factors on the intelligent degree of lamp control in each area is avoided, and assignment formula weight analysis and refinement hierarchical processing are carried out on the areas after preset comparison, condition comparison and formula correction comparison respectively to obtain corresponding brightness signals, so that the reasonability and energy-saving and environment-friendly performance of lamp control in each area are greatly improved;
the invention also sequentially carries out the formula calibration, the weight calculation and the analog analysis of the use condition of the lamp in the stack-in processing process to obtain corresponding inspection and maintenance signals, and further carries out the targeted and accurate maintenance and management judgment on each lamp, thereby greatly improving the overall use safety and prolonging the service life.
The technical problems to be solved by the invention are as follows:
(1) how to solve present most easily because of external interference, for example: the lamp is turned on by mistake due to noise transmitted from the outside, noise emitted by the playing equipment, sleeping state and calling related to sleeping, the intelligent degree of lamp control is greatly influenced, meanwhile, the illumination intensity condition, the number floating condition and the sound floating condition in each area are difficult to combine, and the lamps in each area are controlled to provide various light brightness according to different conditions so as to improve the reasonability of lamp control in each area and the problems of energy conservation and environmental protection;
(2) how to solve the use of current house lamps and lanterns in, easily because of long-time overuse with lack the maintenance management of pertinence, and lead to its life and safety in utilization greatly reduced, still be difficult to simultaneously with the service behavior of lamps and lanterns through the different formula processing procedure that iterates, come to carry out pertinence and accurate dimension pipe to distinguish to it to promote holistic safety in utilization and life's problem.
The purpose of the invention can be realized by the following technical scheme:
an intelligent light control system for an intelligent home comprises a data acquisition module, a data analysis module, a controller, a signal generation module, a signal execution module, an information collection module and an information comparison module;
the data acquisition module is used for acquiring the illumination intensity data, the number floating information and the sound floating information of the house in real time and transmitting the data, the number floating information and the sound floating information to the data analysis module;
the data analysis module carries out real-time interference filtering, monitoring and analyzing operation on the data analysis module according to the data to obtain sound propagation coefficients Aj in each area of the house and brightness coefficients S i in each area of the house, and the sound propagation coefficients Aj and the brightness coefficients are transmitted to the signal generation module through the controller;
after receiving the real-time sound propagation coefficient Aj in each area of the house and the brightness coefficient Si in each area of the house, the signal generation module generates a no-brightness signal in the area of the house corresponding to the signal generation module when Aj and Si are both smaller than respective preset values l and s, generates a high-brightness signal in the area of the house corresponding to the signal generation module when Aj and Si are both larger than or equal to respective preset values l and s, generates a medium-brightness signal in the area of the house corresponding to the signal generation module when Aj is smaller than the preset value l and Si is larger than or equal to the preset value s, and generates a low-brightness signal in the area of the house corresponding to the signal generation module when Aj is larger than or equal to the preset value l and Si is smaller than the preset value s, and transmits the brightness signals to the signal execution module;
the signal execution module controls lamps in the area of the house corresponding to the signal execution module to be lightened to specified brightness or to be kept in an original closed state according to each brightness signal received in real time, namely, the house is divided into areas, and then the illumination intensity condition, the number of people floating condition and the sound floating condition in each area are calibrated in a differentiated mode, so that the intelligent degree of the lamp control in each area is prevented from being influenced negatively by external interference factors, and after the intelligent degree of the lamp control in each area is subjected to preset comparison, condition comparison and formula correction comparison, assignment type weight analysis and detailed hierarchical processing are carried out on the intelligent degree of the lamp control in each area together, so that the corresponding brightness signals are obtained, and the reasonability of the lamp control in each area and energy-saving and environment-friendly performance are greatly improved;
the information collection module is used for collecting the use condition information of the lamps in the house in real time and transmitting the use condition information to the data analysis module;
the data analysis module performs maintenance, maintenance and superposition analysis operation on the data analysis module to obtain a maintenance and maintenance pipeline coefficient Zk of each lamp of the house in a first time period, an average maintenance and maintenance pipeline coefficient X of the total lamps of the house in the first time period and a maintenance and detection discrete coefficient C of the total lamps of the house in the first time period, and the maintenance and maintenance pipeline coefficients are transmitted to the information comparison module through the controller;
the information comparison module compares a maintenance discrete coefficient C of the general lamp of the house received in real time in a first time period with a preset value z, when the maintenance discrete coefficient C is smaller than the preset value z, an average maintenance vascular coefficient X of the general lamp of the house in the first time period is compared with a preset value X, when the maintenance discrete coefficient X is larger than the preset value X, all lamps of the house generate low-degree inspection maintenance signals, and when the maintenance discrete coefficient C is smaller than or equal to the preset value X, no signal is generated for transmission;
when the maintenance discrete coefficient C of the total lamp of the house in the first time period is larger than or equal to a preset value z, comparing the maintenance coefficient Zk of each lamp of the house in the first time period with the average maintenance coefficient X of the total lamp of the house in the first time period, when Zk is larger than X, generating a height inspection maintenance signal for the lamp corresponding to Zk, when Zk is smaller than or equal to X, not generating any signal for transmission, and transmitting each inspection maintenance signal to a signal execution module;
the signal execution module sends all inspection and maintenance signals received in real time to the user mobile phone, the user mobile phone is connected with the signal execution module through wireless transmission, namely, the use condition of the lamp is sequentially subjected to the progressive processing process of formulaic calibration, weighted calculation and analog analysis to obtain corresponding inspection and maintenance signals, and then the targeted and accurate maintenance and management judgment are carried out on all lamps, so that the overall use safety is greatly improved, and the service life is greatly prolonged.
Furthermore, the illumination intensity data represents the difference between the illumination intensity of the external environment and the illumination intensity of the inside room and is obtained according to the sensors and the like, the floating information of the number of people comprises the number data and the posture data, the posture data comprises a standing posture and a lying posture and is obtained according to the human body posture recognition technology, the sensors and the like, and the floating information of the sound comprises sound source distance data, sound loudness data and sound frequency data and is obtained according to the sensors, the monitors and the like.
Further, the interference filtering, monitoring and analyzing operation comprises the following specific steps:
the method comprises the following steps: acquiring illumination intensity data, floating information of the number of people and floating information of sound of a house in real time, dividing the house into regions, and respectively marking the illumination intensity data, the floating information of the number of people and the floating information of the sound in the regions of the house as Qi, Wi and Ei, wherein i is 1.
Step two: when the illumination intensity data Qi in each region of the house is larger than the maximum value of the preset range q, is located in the preset range q and is smaller than the minimum value of the preset range q, the illumination intensity data Qi are respectively endowed with calibration positive values P1, P2 and P3, and P1 is larger than P2 and is larger than P3;
when the number data corresponding to the number floating information Wi in each area of the house is zero, a calibration positive value U1 is given to the number floating information Wi; when the number data corresponding to the number floating information Wi of people in each area of the house is larger than a preset value w and the corresponding posture data is a standing posture, giving a calibration positive value U2; when the number data corresponding to the number floating information Wi of people in each area of the house is larger than the preset value w and the corresponding posture data is a lying posture, the number floating information Wi of people in each area of the house is given a calibration positive value U3; when the number data corresponding to the number floating information Wi of people in each area of the house is less than or equal to a preset value w and the corresponding posture data is a standing posture, giving a calibration positive value U4 to the number floating information Wi of people; when the number data corresponding to the floating information Wi of the number of people in each area of the house is less than or equal to the preset value w and the corresponding posture data is a lying posture, a calibration positive value U5 is given according to the number data, and U2 is more than U4, more than U3, more than U5 and more than U1;
respectively marking sound source distance data, sound loudness data and sound frequency data corresponding to sound floating information Ei in each area of the house as Rj, Tj and Yj, wherein j is 1
Obtaining sound propagation coefficients Aj in each area of the house, wherein r, t and y are correction factors, r is larger than y and larger than t, and r + t + y is 4.6852, when the r is larger than a preset value a, giving Ei a calibration positive value L1, when the r is smaller than or equal to a preset value a, giving Ei a calibration positive value L2, and L1 is larger than or equal to a preset value aL2；
Step three: firstly, respectively assigning weight coefficients p, u and e to illumination intensity data Qi, people floating information Wi and sound floating information Ei in each area of the house, wherein u is larger than e and is larger than p, and p + u + e is 5.3278, and then according to a formula Si is Qi*p+Wi*u+EiAnd e, i equals 1.. n, and the brightness coefficient Si in each area of the house is obtained.
Furthermore, the service condition information comprises the number of times of opening and closing, the accumulated service time and the service temperature magnitude, and the service temperature magnitude consists of the actual working temperature, the external environment temperature and the indoor environment temperature and is obtained according to the modes of a sensor, a timer and the like.
Further, the specific steps of the maintenance and overlap analysis operation are as follows:
the method comprises the following steps: acquiring the use condition information of the lamp of the house in a first time period, and respectively marking the use opening and closing times, the use accumulated time length and the use temperature magnitude of each lamp as Dk, Fk and Gk, wherein k is 1.. b, the Dk, the Fk and the Gk are in one-to-one correspondence with each other, and the first time period represents the time length of one month;
step two: acquiring the actual working temperature of each lamp corresponding to the use temperature level Gk of each lamp of the house in a first time period, the external environment temperature of each lamp and the indoor environment temperature of each lamp, respectively marking the actual working temperature, the external environment temperature and the indoor environment temperature as Hk, Jk and Kk, wherein k is 1
Obtaining the use temperature magnitude Gk of each lamp of the house in a first time period, wherein the external environment temperature of each lamp represents the environment temperature outside the house area corresponding to the lamp, and the indoor environment temperature of each lamp represents the environment temperature in the space area corresponding to the lamp;
firstly, respectively endowing the use opening and closing times Dk, the use accumulated time Fk and the use temperature magnitude Gk of each lamp of the house in a first time period with weight coefficients α, β and delta, wherein α is less than β and α + β + delta is 3.5821, and then obtaining the maintenance vascular coefficient Zk of each lamp of the house in the first time period according to a formula Zk, namely Dk, α + Fk, β + Gk, and k, namely 1.. b;
step four: first according to the formula
Obtaining the average maintenance factor X of the total lamps of the house in the first time period, and then obtaining the average maintenance factor X according to a formula
And solving the dimension discrete coefficient C of the total lamp of the house in the first time period.
The invention has the beneficial effects that:
1. the invention collects the illumination intensity data, the floating information of people and the floating information of sound of the house in real time, the illumination intensity data represents the difference value between the illumination intensity of the external environment and the illumination intensity of the internal room, the floating information of people comprises the data of people and the data of posture, the data of posture consists of standing posture and lying posture, the floating information of sound comprises the data of sound source distance, the data of sound loudness and the data of sound frequency, and carries out the real-time interference filtering monitoring analysis operation on the floating information, namely, the house is divided into regions, the illumination intensity data, the floating information of people and the floating information of sound in each region of the house are calibrated, the calibrated parts are sequentially carried out preset comparison, condition comparison and formula correction comparison, and finally, the sound transmission coefficient Aj in each region of the house is obtained through the assignment weight analysis, and the brightness coefficient Si in each area of the house;
the intelligent control system is characterized by comprising a plurality of areas, a plurality of light intensity signals and a plurality of preset weight analysis and hierarchical processing units, wherein the areas are subjected to detailed hierarchical processing to obtain a plurality of light intensity signals of each area of the house, and lamps in the area of the house corresponding to the light intensity signals are controlled to be lightened to specified brightness or to be kept in an original closed state;
2. the invention collects the using condition information of lamps in a house in real time, the using condition information comprises using opening and closing times, using accumulated time and using temperature magnitude, the using temperature magnitude consists of actual working temperature, external environment temperature and indoor environment temperature, and the using temperature is subjected to maintenance and superposition analysis operation according to the using condition information, namely, the using opening and closing times, the using accumulated time and the using temperature magnitude of each lamp in the house are calibrated, then the actual working temperature of each lamp corresponding to the using temperature magnitude of each lamp in the house, the external environment temperature of each lamp and the indoor environment temperature of each lamp are subjected to formulaic calibration, and weighted calculation is carried out on the actual working temperature, the external environment temperature and the indoor environment temperature of each lamp according to the using temperature magnitude, and finally the obtained result is subjected to analog analysis to obtain the maintenance and maintenance vascular coefficient Zk of each lamp in the house in a first time period, the average overhaul maintenance coefficient X of the total lamps of the house in the first time period and the maintenance discrete coefficient C of the total lamps of the house in the first time period;
and the progressive processing process is used for carrying out grading limitation on the lamp and the preset value thereof to obtain a degree inspection maintenance signal of each lamp in the house, and the degree inspection maintenance signal is sent to a mobile phone of a user, namely, the use condition of the lamp is subjected to the progressive processing processes of formula calibration, weighted calculation and analog analysis in sequence to obtain a corresponding inspection maintenance signal, and then the targeted and accurate maintenance management judgment is carried out on each lamp, so that the integral use safety is greatly improved, and the service life is greatly prolonged.
Drawings
In order to facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings;
FIG. 1 is a block diagram of the system of the present invention.
Detailed Description
As shown in fig. 1, an intelligent light control system for smart home includes a data acquisition module, a data analysis module, a controller, a signal generation module, a signal execution module, an information collection module, and an information comparison module;
the data acquisition module is used for acquiring illumination intensity data, people floating information and sound floating information of a house in real time and transmitting the illumination intensity data, the people floating information and the sound floating information to the data analysis module together, the illumination intensity data represents a difference value between the illumination intensity of an external environment and the illumination intensity of an internal room and is acquired according to a sensor and the like, the people floating information comprises people data and posture data, the posture data consists of a standing posture and a lying posture and is acquired according to a human posture recognition technology, a sensor and the like, and the sound floating information comprises sound source distance data, sound loudness data and sound frequency data and is acquired according to a sensor, a monitor and the like;
the data analysis module carries out real-time interference filtering, monitoring and analyzing operation on the data analysis module, and the specific steps are as follows:
the method comprises the following steps: acquiring illumination intensity data, floating information of the number of people and floating information of sound of a house in real time, dividing the house into regions, and respectively marking the illumination intensity data, the floating information of the number of people and the floating information of the sound in the regions of the house as Qi, Wi and Ei, wherein i is 1.
Step two: when the illumination intensity data Qi in each region of the house is larger than the maximum value of the preset range q, is located in the preset range q and is smaller than the minimum value of the preset range q, the illumination intensity data Qi are respectively endowed with calibration positive values P1, P2 and P3, and P1 is larger than P2 and is larger than P3;
when the number data corresponding to the number floating information Wi in each area of the house is zero, a calibration positive value U1 is given to the number floating information Wi; when the number data corresponding to the number floating information Wi of people in each area of the house is larger than a preset value w and the corresponding posture data is a standing posture, giving a calibration positive value U2; when the number data corresponding to the number floating information Wi of people in each area of the house is larger than the preset value w and the corresponding posture data is a lying posture, the number floating information Wi of people in each area of the house is given a calibration positive value U3; when the number data corresponding to the number floating information Wi of people in each area of the house is less than or equal to a preset value w and the corresponding posture data is a standing posture, giving a calibration positive value U4 to the number floating information Wi of people; when the number data corresponding to the floating information Wi of the number of people in each area of the house is less than or equal to the preset value w and the corresponding posture data is a lying posture, a calibration positive value U5 is given according to the number data, and U2 is more than U4, more than U3, more than U5 and more than U1;
respectively marking sound source distance data, sound loudness data and sound frequency data corresponding to sound floating information Ei in each area of the house as Rj, Tj and Yj, wherein j is 1
Obtaining sound propagation coefficients Aj in each area of the house, wherein r, t and y are correction factors, r is larger than y and larger than t, and r + t + y is 4.6852, when r is larger than a preset value a, Ei is given to a calibration positive value L1, when the r is smaller than or equal to a preset value a, Ei is given to a calibration positive value L2, and L1 is larger than L2;
step three: firstly, respectively assigning weight coefficients p, u and e to illumination intensity data Qi, people floating information Wi and sound floating information Ei in each area of the house, wherein u is larger than e and is larger than p, and p + u + e is 5.3278, and then obtaining a brightness coefficient Si in each area of the house according to a formula Si (Qi + p + Wi + u + Ei, i is 1.. n);
obtaining sound propagation coefficients Aj in each area of the house and brightness coefficients Si in each area of the house, and transmitting the sound propagation coefficients Aj and the brightness coefficients Si to the signal generation module through the controller;
after receiving real-time sound propagation coefficients Aj in each area of the house and brightness coefficients Si in each area of the house, the signal generation module generates a no-brightness signal in the area of the house corresponding to Aj and Si when Aj and Si are both smaller than respective preset values l and s, generates a high-brightness signal in the area of the house corresponding to Aj and Si when Aj and Si are both larger than or equal to respective preset values l and s, generates a medium-brightness signal in the area of the house corresponding to Aj when Aj is smaller than or equal to preset values l and Si when Aj is smaller than or equal to preset values s, generates a low-brightness signal in the area of the house corresponding to Aj and transmits the brightness signals to the signal execution module;
the signal execution module controls lamps in the area of the house corresponding to the signal execution module to be lightened to specified brightness or to be kept in an original closed state according to each brightness signal received in real time, namely, the house is divided into areas, then the illumination intensity condition, the number of people floating condition and the sound floating condition in each area are calibrated in a differentiated mode, so that the negative influence of external interference factors on the intelligent degree of the lamp control in each area is avoided, and the signals are subjected to assignment weight analysis and detailed hierarchical processing together after being subjected to preset comparison, condition comparison and formulated correction comparison respectively to obtain the corresponding brightness signals, so that the reasonability of the lamp control in each area and the energy-saving and environment-friendly properties are greatly improved;
the information collection module is used for collecting the use condition information of the lamps in the house in real time and transmitting the use condition information to the data analysis module, the use condition information comprises use opening and closing times, use accumulated time and use temperature magnitude, the use temperature magnitude consists of actual working temperature, external environment temperature and indoor environment temperature, and the use temperature magnitude is obtained according to the modes of a sensor, a timer and the like;
the data analysis module carries out maintenance and maintenance overlap-in analysis operation on the data analysis module according to the data, and the specific steps are as follows:
the method comprises the following steps: acquiring the use condition information of the lamp of the house in a first time period, and respectively marking the use opening and closing times, the use accumulated time length and the use temperature magnitude of each lamp as Dk, Fk and Gk, wherein k is 1.. b, the Dk, the Fk and the Gk are in one-to-one correspondence with each other, and the first time period represents the time length of one month;
step two: is obtained toActual working temperature of each lamp corresponding to the use temperature level Gk of each lamp of the house in the first time period, external environment temperature of each lamp and indoor environment temperature of each lamp are respectively marked as Hk, Jk and Kk, wherein k is 1Obtaining the use temperature magnitude Gk of each lamp of the house in a first time period, wherein the external environment temperature of each lamp represents the environment temperature outside the house area corresponding to the lamp, and the indoor environment temperature of each lamp represents the environment temperature in the space area corresponding to the lamp;
firstly, respectively endowing the use opening and closing times Dk, the use accumulated time Fk and the use temperature magnitude Gk of each lamp of the house in a first time period with weight coefficients α, β and delta, wherein α is less than β and α + β + delta is 3.5821, and then obtaining the maintenance vascular coefficient Zk of each lamp of the house in the first time period according to a formula Zk, namely Dk, α + Fk, β + Gk, and k, namely 1.. b;
step four: first according to the formula
Obtaining the average maintenance factor X of the total lamps of the house in the first time period, and then obtaining the average maintenance factor X according to a formula
Obtaining a maintenance discrete coefficient C of the total lamp of the house in a first time period;
obtaining an overhaul maintenance pipe coefficient Zk of each lamp of the house in a first time period, an average overhaul maintenance pipe coefficient X of the total lamps of the house in the first time period and a maintenance discrete coefficient C of the total lamps of the house in the first time period, and transmitting the overhaul maintenance pipe coefficient Zk, the average overhaul maintenance pipe coefficient X and the maintenance discrete coefficient C to the information comparison module through the controller;
the information comparison module compares a maintenance discrete coefficient C of the general lamps of the house received in real time in a first time period with a preset value z, compares an average overhaul vascular coefficient X of the general lamps of the house in the first time period with a preset value X when the maintenance discrete coefficient C is smaller than the preset value z, generates low-degree inspection maintenance signals for all the lamps of the house when the maintenance discrete coefficient X is larger than the preset value X, and does not generate any signal for transmission when the maintenance discrete coefficient C is smaller than or equal to the preset value X;
when the maintenance discrete coefficient C of the total lamp of the house in the first time period is larger than or equal to a preset value z, comparing the maintenance coefficient Zk of each lamp of the house in the first time period with the average maintenance coefficient X of the total lamp of the house in the first time period, when Zk is larger than X, generating a height inspection maintenance signal for the lamp corresponding to Zk, when Zk is smaller than or equal to X, not generating any signal for transmission, and transmitting each inspection maintenance signal to a signal execution module;
the signal execution module sends each inspection maintenance signal received in real time to the user mobile phone, and the user mobile phone is connected with the signal execution module through wireless transmission, namely, the use condition of the lamp is sequentially subjected to the progressive processing process of formula calibration, weighted calculation and analog analysis to obtain the corresponding inspection maintenance signal, and then the pertinence and accurate maintenance judgment is carried out on each lamp, so that the integral use safety is greatly improved, and the service life is greatly prolonged.
During working, illumination intensity data, floating information of people and floating information of sound of a house are collected in real time through a data collection module and are transmitted to a data analysis module together, the illumination intensity data represents the difference value between the illumination intensity of the external environment and the illumination intensity of the interior of the house, the floating information of people comprises the data of people and posture data, the posture data comprises a standing posture and a lying posture, and the floating information of sound comprises sound source distance data, sound loudness data and sound frequency data;
the data analysis module carries out real-time interference filtering, monitoring and analyzing operation on the house, namely, firstly, carrying out regional division processing on the house, calibrating illumination intensity data, people floating information and sound floating information in each region of the house, then sequentially carrying out preset comparison, condition comparison and formula correction comparison on each calibrated part, and finally carrying out assignment weight analysis to obtain a sound propagation coefficient Aj in each region of the house and a brightness coefficient Si in each region of the house, and transmitting the sound propagation coefficient Aj and the brightness coefficient Si to the signal generation module through the controller;
the signal generating module carries out refinement hierarchical processing on the signals so as to obtain various brightness signals of each area of the house and transmits the brightness signals to the signal executing module;
the signal execution module controls lamps in the area of the house corresponding to the signal execution module to be lightened to specified brightness or to be kept in an original closed state according to various brightness signals received in real time, namely, the house is divided into areas, then the illumination intensity condition, the number of people floating condition and the sound floating condition in each area are calibrated in a differentiated mode, so that the negative influence of external interference factors on the intelligent degree of the lamp control in each area is avoided, and the signals are subjected to assignment weight analysis and detailed hierarchical processing together after being subjected to preset comparison, condition comparison and formulated correction comparison respectively to obtain corresponding brightness signals, so that the reasonability of the lamp control in each area and the energy-saving and environment-friendly properties are greatly improved;
the information collection module collects the use condition information of the lamps in the house in real time and transmits the use condition information to the data analysis module, the use condition information comprises use opening and closing times, use accumulated time and use temperature magnitude, and the use temperature magnitude consists of actual working temperature, external environment temperature and indoor environment temperature;
the data analysis module carries out maintenance and maintenance superposition analysis operation on the lamps in the house, namely, the use opening and closing times, the use accumulated time length and the use temperature magnitude of each lamp in the house are calibrated, the actual working temperature of each lamp, the external environment temperature of each lamp and the indoor environment temperature of each lamp corresponding to the use temperature magnitude of each lamp in the house are formulated and calibrated, the lamps and the lamps are weighted and calculated, and the obtained results are subjected to chemical analysis and analogy to obtain the maintenance and maintenance coefficients Zk of each lamp of the house in a first time period, the average maintenance and maintenance and maintenance coefficient X of the total lamps of the house in the first time period and the maintenance and inspection discrete coefficient C of the total lamps of the house in the first time period, and the maintenance and superposition analysis coefficients are transmitted to the information comparison module through the controller;
the information comparison module carries out grading limitation on the information comparison module and respective preset values according to the stack-in processing process so as to obtain degree inspection maintenance signals of all lamps in the house and transmits the degree inspection maintenance signals to the signal execution module;
the signal execution module sends each inspection maintenance signal received in real time to a mobile phone of a user, namely, the use condition of the lamp is subjected to a progressive processing process of formulaic calibration, weighted calculation and analog analysis in sequence to obtain a corresponding inspection maintenance signal, and then pertinence and accurate maintenance management judgment is carried out on each lamp, so that the overall use safety is greatly improved, and the service life is greatly prolonged.
The foregoing is merely exemplary and illustrative of the present invention and various modifications, additions and substitutions may be made by those skilled in the art to the specific embodiments described without departing from the scope of the invention as defined in the following claims.
Claims (5)
1. An intelligent light control system for an intelligent home is characterized by comprising a data acquisition module, a data analysis module, a controller, a signal generation module, a signal execution module, an information collection module and an information comparison module;
the data acquisition module is used for acquiring the illumination intensity data, the number floating information and the sound floating information of the house in real time and transmitting the data, the number floating information and the sound floating information to the data analysis module;
the data analysis module carries out real-time interference filtering, monitoring and analyzing operation on the data analysis module according to the data to obtain sound propagation coefficients Aj in each area of the house and brightness coefficients Si in each area of the house, and the sound propagation coefficients Aj and the brightness coefficients Si are transmitted to the signal generation module through the controller;
after receiving the real-time sound propagation coefficient Aj in each area of the house and the brightness coefficient Si in each area of the house, the signal generation module generates a no-brightness signal in the area of the house corresponding to the signal generation module when Aj and Si are both smaller than respective preset values l and s, generates a high-brightness signal in the area of the house corresponding to the signal generation module when Aj and Si are both larger than or equal to respective preset values l and s, generates a medium-brightness signal in the area of the house corresponding to the signal generation module when Aj is smaller than the preset value l and Si is larger than or equal to the preset value s, and generates a low-brightness signal in the area of the house corresponding to the signal generation module when Aj is larger than or equal to the preset value l and Si is smaller than the preset value s, and transmits the brightness signals to the signal execution module;
the signal execution module controls the lamps in the area of the house corresponding to the signal execution module to be lightened to specified brightness or to be kept in an original closed state according to each brightness signal received in real time;
the information collection module is used for collecting the use condition information of the lamps in the house in real time and transmitting the use condition information to the data analysis module;
the data analysis module performs maintenance, maintenance and superposition analysis operation on the data analysis module to obtain a maintenance and maintenance pipeline coefficient Zk of each lamp of the house in a first time period, an average maintenance and maintenance pipeline coefficient X of the total lamps of the house in the first time period and a maintenance and detection discrete coefficient C of the total lamps of the house in the first time period, and the maintenance and maintenance pipeline coefficients are transmitted to the information comparison module through the controller;
the information comparison module compares a maintenance discrete coefficient C of the general lamp of the house received in real time in a first time period with a preset value z, when the maintenance discrete coefficient C is smaller than the preset value z, an average maintenance vascular coefficient X of the general lamp of the house in the first time period is compared with a preset value X, when the maintenance discrete coefficient X is larger than the preset value X, all lamps of the house generate low-degree inspection maintenance signals, and when the maintenance discrete coefficient C is smaller than or equal to the preset value X, no signal is generated for transmission;
when the maintenance discrete coefficient C of the total lamp of the house in the first time period is larger than or equal to a preset value z, comparing the maintenance coefficient Zk of each lamp of the house in the first time period with the average maintenance coefficient X of the total lamp of the house in the first time period, when Zk is larger than X, generating a height inspection maintenance signal for the lamp corresponding to Zk, when Zk is smaller than or equal to X, not generating any signal for transmission, and transmitting each inspection maintenance signal to a signal execution module;
the signal execution module sends each inspection and maintenance signal received in real time to the user mobile phone, and the user mobile phone is connected with the signal execution module through wireless transmission.
2. The intelligent light control system for smart home as claimed in claim 1, wherein the illumination intensity data represents a difference between the illumination intensity of the external environment and the illumination intensity of the inside room, the floating information of the number of people comprises data of the number of people and posture data, the posture data comprises a standing posture and a lying posture, and the floating information of the sound comprises data of sound source distance, data of sound loudness and data of sound frequency.
3. The intelligent light control system for smart home as claimed in claim 1, wherein the interference filtering, monitoring and analyzing operation comprises the following steps:
the method comprises the following steps: acquiring illumination intensity data, floating information of the number of people and floating information of sound of a house in real time, dividing the house into regions, and respectively marking the illumination intensity data, the floating information of the number of people and the floating information of the sound in the regions of the house as Qi, Wi and Ei, wherein i is 1.
Step two: when the illumination intensity data Qi in each region of the house is larger than the maximum value of the preset range q, is located in the preset range q and is smaller than the minimum value of the preset range q, the illumination intensity data Qi are respectively endowed with calibration positive values P1, P2 and P3, and P1 is larger than P2 and is larger than P3;
when the number data corresponding to the number floating information Wi in each area of the house is zero, a calibration positive value U1 is given to the number floating information Wi; when the number data corresponding to the number floating information Wi of people in each area of the house is larger than a preset value w and the corresponding posture data is a standing posture, giving a calibration positive value U2; when the number data corresponding to the number floating information Wi of people in each area of the house is larger than the preset value w and the corresponding posture data is a lying posture, the number floating information Wi of people in each area of the house is given a calibration positive value U3; when the number data corresponding to the number floating information Wi of people in each area of the house is less than or equal to a preset value w and the corresponding posture data is a standing posture, giving a calibration positive value U4 to the number floating information Wi of people; when the number data corresponding to the floating information Wi of the number of people in each area of the house is less than or equal to the preset value w and the corresponding posture data is a lying posture, a calibration positive value U5 is given according to the number data, and U2 is more than U4, more than U3, more than U5 and more than U1;
respectively marking sound source distance data, sound loudness data and sound frequency data corresponding to sound floating information Ei in each area of the house as Rj, Tj and Yj, wherein j is 1
Obtaining sound propagation coefficients Aj in each area of the house, wherein r, t and y are correction factors, r is larger than y and larger than t, and r + t + y is 4.6852, when r is larger than a preset value a, Ei is given to a calibration positive value L1, when the r is smaller than or equal to a preset value a, Ei is given to a calibration positive value L2, and L1 is larger than L2;
step three: the illumination intensity data Qi, the floating information Wi of the number of people and the floating information Ei of the sound in each area of the house are given weight coefficients p, u and e respectively, u is larger than e and is larger than p, and p + u + e is 5.3278, and then the brightness coefficient Si in each area of the house is obtained according to a formula Si.
4. The intelligent lighting control system for smart home as claimed in claim 1, wherein the usage information includes usage opening and closing times, usage accumulated time and usage temperature level, and the usage temperature level is composed of actual working temperature, external environment temperature and indoor environment temperature.
5. The intelligent lighting control system for smart homes according to claim 1, wherein the specific steps of the maintenance and repair fold-in analysis operation are as follows:
the method comprises the following steps: acquiring the use condition information of the lamp of the house in a first time period, and respectively marking the use opening and closing times, the use accumulated time length and the use temperature magnitude of each lamp as Dk, Fk and Gk, wherein k is 1.. b, the Dk, the Fk and the Gk are in one-to-one correspondence with each other, and the first time period represents the time length of one month;
step two: acquiring the actual working temperature of each lamp corresponding to the use temperature level Gk of each lamp of the house in a first time period, the external environment temperature of each lamp and the indoor environment temperature of each lamp, respectively marking the actual working temperature, the external environment temperature and the indoor environment temperature as Hk, Jk and Kk, wherein k is 1
Obtaining the use temperature magnitude Gk of each lamp of the house in a first time period;
firstly, respectively endowing the use opening and closing times Dk, the use accumulated time Fk and the use temperature magnitude Gk of each lamp of the house in a first time period with weight coefficients α, β and delta, wherein α is less than β and α + β + delta is 3.5821, and then obtaining the maintenance vascular coefficient Zk of each lamp of the house in the first time period according to a formula Zk, namely Dk, α + Fk, β + Gk, and k, namely 1.. b;
step four: first according to the formulaObtaining the average maintenance factor X of the total lamps of the house in the first time period, and then obtaining the average maintenance factor X according to a formula
And solving the dimension discrete coefficient C of the total lamp of the house in the first time period.
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