CN111935881A - Intelligent household lighting control system based on Internet of things - Google Patents
Intelligent household lighting control system based on Internet of things Download PDFInfo
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- CN111935881A CN111935881A CN202010826176.8A CN202010826176A CN111935881A CN 111935881 A CN111935881 A CN 111935881A CN 202010826176 A CN202010826176 A CN 202010826176A CN 111935881 A CN111935881 A CN 111935881A
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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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- 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
- H05B47/175—Controlling the light source by remote control
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B20/00—Energy efficient lighting technologies, e.g. halogen lamps or gas discharge lamps
- Y02B20/40—Control techniques providing energy savings, e.g. smart controller or presence detection
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Abstract
The invention discloses an intelligent home illumination control system based on the Internet of things, which comprises a data acquisition module, a data analysis module, a signal processing module, a control module, a remote control unit, a timing control unit, a multi-point control unit, a soft start unit, a database, a user login module and an overhaul analysis module, wherein the data acquisition module is used for acquiring data; the data acquisition module is used for acquiring information in a house in real time, the information is marked as house information, the house information comprises illumination intensity data, pupil information of human eyes, the number of people in the house, state information and sound information of a human body, the house information is transmitted to the data analysis module together, adjustment of different brightness is carried out on various scenes in the house through comparison of a light demand coefficient and a sound coefficient with a set threshold value, the maintenance module analyzes lamp information, the required maintenance coefficient of a lamp is calculated, and the situation that the lamp is damaged to bring unnecessary trouble is prevented when a user uses the lamp.
Description
Technical Field
The invention relates to the technical field of intelligent home lighting, in particular to an intelligent home lighting control system based on the Internet of things.
Background
The intelligent household system utilizes advanced computer technology, network communication technology, intelligent cloud control, comprehensive wiring technology and medical electronic technology to integrate individual requirements according to the principle of human engineering, organically combines various subsystems related to household life such as security protection, light control, curtain control, gas valve control, information household appliances, scene linkage, floor heating, health care, epidemic prevention, security protection and the like, through networked comprehensive intelligent control and management, the intelligent light control is based on a power line network, and utilizes a power line carrier technology and a power line information transmission X10 protocol to realize a plurality of control modes such as telephone remote control, centralized control, wireless remote control, computer control, timing control, network control and the like, and intelligent operation and management such as soft starting of lamplight, dimming, brightness memory, scene memory and the like are provided.
The patent with the application number of CN201810178831.6 discloses an intelligent household lighting control system, wherein each control area comprises a display touch screen, a first wireless transceiver module and a plurality of controlled lamps, and the display touch screen and the first wireless transceiver module are in communication connection with each other through a 485 bus; the controlled lamp comprises a power supply module, an isolation module, a single chip microcomputer, a memory, a second wireless transceiving module, a controlled switch and a light source module; the memories all store communication channels and address identification codes, the communication channels stored in the memories in the same control area are the same, and the address identification codes are different from each other.
However, in this patent, the service condition of the lamp cannot be analyzed systematically, the user cannot avoid the trouble caused by the damage of the lamp in advance, and the light of the electric lamp cannot be turned on from dark to bright and turned off from bright to dark gradually, which is not favorable for protecting eyes and reducing the service life of the lamp.
Disclosure of Invention
The invention aims to provide an intelligent home lighting control system based on the Internet of things, which is characterized in that illumination intensity data, pupil information of human eyes, the number of people in a house, state information of human bodies and sound information in the house are collected and analyzed, lamps in the house are controlled by taking an analysis result as a standard, a user can independently control the lamps through a soft start unit, a multi-point control unit, a timing control unit and a remote control unit in a control module under various scenes, meanwhile, an overhaul module analyzes the lamp information in ten days to calculate the to-be-overhauled coefficient of the lamps, generates a to-be-maintained signal and transmits the to a database for storage through the comparison of the to-be-overhauled coefficient and a set threshold value, the user can inquire the overhaul condition of the lamps in the house through a mobile phone terminal to prevent the user from using the intelligent home lighting control system, damage to the lamp causes unnecessary trouble.
The purpose of the invention can be realized by the following technical scheme:
an intelligent home lighting control system based on the Internet of things comprises a data acquisition module, a data analysis module, a signal processing module, a control module, a remote control unit, a timing control unit, a multi-point control unit, a soft start unit, a database, a user login module and an overhaul analysis module;
the data acquisition module is used for acquiring information in a house in real time, marking the information as house information and transmitting the house information to the data analysis module;
the data analysis module is used for carrying out real-time monitoring analysis operation on the collected house information, and comprises the following specific steps:
the method comprises the following steps: acquiring illumination intensity data in a house, pupil information of human eyes, the number of people in the house, state information of a human body and sound information, and sequentially marking the illumination intensity data, the pupil information of the human eyes, the number of people in the house, the state information of the human body and the sound information as Ac, Bc, Cc, Dc and Ec, wherein c is 1, 2, 3.
Step two: acquiring the luminous flux of the visible light received in the house, and generating a light-required signal when the illumination intensity data Ac in the house is smaller than a set threshold range; when the illumination intensity data Ac in the house is in or larger than a set threshold range, generating an unnecessary light signal, and marking the luminous flux of the visible light received in the house as Ga;
step three: acquiring pupil information Bc of people in a house, generating a light demand signal when the pupil of the people in the current illumination environment is larger than a set threshold, and marking the size of the pupil of the people in the current illumination environment as Ta; when the pupil of the person in the current illumination environment is smaller than or equal to a set threshold value, generating an unnecessary light signal;
step four: acquiring action information Cc of people in the house, and generating a light-required signal when the people in the house are in a movable state; when the human body in the house is in a lying state, an unnecessary optical signal is generated;
step five: acquiring the number Dc of people in a house, generating a light demand signal when the number of people in the house is larger than a set threshold value, and marking the number of people in the house as Ra; when the number of people in the house is less than or equal to a set threshold value, generating an unnecessary light signal;
step six: by the formula
Acquiring a light demand coefficient Xa in a house, wherein d1, d2 and d3 are preset proportionality coefficients, d1 is larger than d2 and larger than d3, d1+ d2+ d3 is 1, beta is an error correction factor, and beta is 3.256983;
step seven: acquiring sound information Ec in a house, and analyzing the sound information, wherein the specific analysis steps are as follows:
s1: in t time, acquiring the intensity of the voice sound in the house, and marking the intensity of the voice sound in the house as Qt, wherein t is 1.. n;
s2: in t time, acquiring the frequency of the voice sound in the house, and marking the frequency of the voice sound in the house as Pt, wherein t is 1.. n;
s3: in t time, the number of the human sound sources in the house is obtained, and the number of the human sound sources in the house is marked as St, wherein t is 1.
S4: benefit to the formula
Acquiring sound coefficients At, y, o and w in a house are correction factors, wherein the y, o and w correspond to the intensity and frequency of the human sound and the number of human sound sources one by one, y is larger than o and larger than w, and y + o + w is 1.32568;
s5: when the sound coefficient At in the house is larger than a set threshold value, generating a light-required signal; when the sound coefficient At in the house is smaller than or equal to the set threshold value, generating an unnecessary optical signal;
step eight: the optical signal required or not required produced by the data analysis module is transmitted to the signal processing module together;
the signal processing module is used for analyzing the light-needed signal, the light-not-needed signal, the light-needed coefficient Xa and the sound coefficient At, and the specific analysis steps are as follows:
when the human body in the house is in the active state:
SS 1: when the light demand coefficient Xa and the sound coefficient At are both smaller than the respective preset value M, Y, a no-brightness signal is generated;
SS 2: when the light demand coefficient Xa is larger than the preset value M and the sound coefficient At is smaller than or equal to the preset value Y, generating a middle brightness signal;
SS 3: when the light demand coefficient Xa is less than or equal to the preset value M and the sound coefficient At is greater than the preset value Y, a low brightness signal is generated;
SS 4: when the light demand coefficient Xa and the sound coefficient At are both greater than the respective preset values M, Y, a high brightness signal is generated;
SS 5: and the control module is used for receiving the no-brightness signal or the medium-brightness signal or the low-brightness signal or the high-brightness signal sent by the signal processing module and controlling the illumination in the house.
Further, the user login module is used for sending user information to the database for storage through the mobile phone terminal, wherein the user information comprises the name of the user, the mobile phone number of the real-name authentication of the user, the age of the user and the photo.
Furthermore, the control module comprises a soft start unit, a multipoint control unit, a timing control unit and a remote control unit; the soft starting unit is used for gradually turning light from dark to bright when the electric lamp is started and gradually turning light to dark from bright until the electric lamp is turned off; the multipoint control unit is used for controlling the lighting in the house by a plurality of control switches in the house; the timing control unit is used for setting a certain time and carrying out delay control and advanced control on illumination in the house; the remote control unit is used for a user to remotely control the illumination in the house through the mobile phone terminal.
Further, the data acquisition module is also used for acquiring lamp information within ten days, and transmitting the lamp information to the maintenance analysis module, the maintenance analysis module is used for analyzing the lamp information within ten days and sending an analysis result to the database, the lamp information comprises the use times of the lamp within ten days, the temperature during use and the flicker times during use, and the specific analysis steps are as follows:
v1: acquiring the use times of the lamp within ten days through a counter, recording the use times and marking the use times of the lamp as Nd within ten days;
v2: acquiring a temperature value of the lamp in use within ten days through a temperature sensor, recording the temperature value in use, and marking the temperature value in use of the lamp as Wd;
v3: acquiring the flicker times of the lamp in use within ten days through a counter, recording the flicker times in use, and marking the flicker times of the lamp in use within ten days as Sd;
v4: by the formula
Obtaining a maintenance-required coefficient Jd of the lamp, wherein C1, C2 and C3 are correction factors, and C1, C2 and C3 are used for ten days and the temperature in useThe values correspond to the flicker times in use, C1 is larger than C2 and larger than C3, and C1+ C2+ C3 is 5.369852;
v5: comparing the obtained maintenance-required coefficient Jd of the lamp with a set threshold value U:
if the maintenance-required coefficient Jd of the lamp is larger than the set threshold value U, the system judges that the lamp needs to be maintained, generates a lamp maintenance-required signal and sends the maintenance-required signal to the alarm module;
if the maintenance-needed coefficient Jd of the lamp is smaller than or equal to the set threshold value U, the system judges that the lamp does not need to be maintained, generates a lamp maintenance-needed signal, sends the maintenance-needed signal to the database for storage, and a user can log in and inquire the lamp maintenance-needed signal in the database through a mobile phone terminal.
Further, the house information includes illumination intensity data, pupil information of human eyes, the number of people in the house, status information of human body, and sound information, the illumination intensity data represents the luminous flux of visible light received in the house, and is acquired by a sensor and the like, the pupil information of the human eyes represents the size of the pupil of the human under the current illumination environment, the information is acquired by a camera and the like, the number of people in the house can be acquired by a sensor, the state information of the human body comprises the activity state and the lying state of the people, and is obtained by human body action recognition technology, the voice information comprises the strength of the speaking voice of the person, the frequency of the speaking voice of the person and the number of the speaking sound sources of the person and is obtained by a sensor and a monitor, the strength of the human speaking voice represents a decibel value of the human speaking voice, and the frequency of the human speaking voice represents the times of the human speaking voice finished in unit time.
Compared with the prior art, the invention has the beneficial effects that:
1. the data acquisition module is used for acquiring information in a house in real time and marking the information as house information, the house information comprises illumination intensity data, pupil information of human eyes, the number of people in the house, state information of human bodies and sound information, the house information is transmitted to the data analysis module together, the data analysis module is used for monitoring and analyzing the acquired house information in real time to acquire the illumination intensity data, the pupil information of the human eyes, the number of people in the house, the state information of the human bodies and the sound information in the house, a light demand coefficient Xa in the house is acquired through a formula, sound information Ec in the house is acquired and analyzed to facilitate the formula to acquire a sound coefficient At in the house, the signal processing module is used for analyzing the light demand signal, the light demand coefficient Xa and the sound coefficient At, and when the light demand coefficient Xa and the sound coefficient At are smaller than respective preset values M, the light demand coefficient Xa and the sound coefficient At are respectively smaller than respective preset values M, the light demand coefficient, When Y, generating a no-brightness signal; when the light demand coefficient Xa is larger than the preset value M and the sound coefficient At is smaller than or equal to the preset value Y, generating a middle brightness signal; when the light demand coefficient Xa is less than or equal to the preset value M and the sound coefficient At is greater than the preset value Y, a low brightness signal is generated; when the light demand coefficient Xa and the sound coefficient At are both greater than the respective preset values M, Y, a high brightness signal is generated; sending the non-brightness signal or the medium-brightness signal or the low-brightness signal or the high-brightness signal generated by the signal processing module to the control module; adjusting different brightness of various scenes in the house by comparing the light-requiring coefficient Xa and the sound coefficient At with a set threshold value;
2. the soft start unit is used for gradually changing light from dark to light when the electric lamp is turned on and gradually changing from light to dark until the electric lamp is turned off, so that eyes can be protected, impact on the lamp caused by higher instantaneous current can be avoided, and the service life of the lamp can be effectively prolonged; the multipoint control unit is used for controlling the lighting in the house by a plurality of control switches in the house; the timing control unit is used for setting a certain time and carrying out delay control and advanced control on illumination in the house; the remote control unit is used for remotely controlling the illumination in the house through the mobile phone terminal by a user, and the life of the user is facilitated by various control modes;
3. the overhaul analysis module is used for analyzing the using times of the lamp in ten days, the temperature during use and the flicker times, calculating a to-be-overhauled coefficient Jd of the lamp, and when the to-be-overhauled coefficient is larger than a set threshold value, sending lamp maintenance information to a user through the mobile phone terminal in an information mode by the database, so that unnecessary trouble caused by lamp damage in the using process of the user is prevented.
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 schematic block diagram of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, an intelligent home lighting control system based on the internet of things includes a data acquisition module, a data analysis module, a signal processing module, a control module, a remote control unit, a timing control unit, a multi-point control unit, a soft start unit, a database, a user login module, and an overhaul analysis module;
the user login module is used for sending user information to the database for storage through the mobile phone terminal, wherein the user information comprises the name of the user, the mobile phone number of real-name authentication of the user, the age of the user and the photo;
the data acquisition module is used for acquiring information in a house in real time and marking the information as house information, the house information comprises illumination intensity data, pupil information of human eyes, the number of people in the house, state information of human bodies and sound information, and the house information is transmitted to the data analysis module together, wherein the illumination intensity data represents luminous flux of visible light received in the house and is acquired by a sensor and the like, the pupil information of the human eyes represents the size of the pupil of a human under the current illumination environment and is acquired by a camera and the like, the number of people in the house can be acquired by the sensor, the state information of the human bodies comprises the activity state and the lying state of the human bodies and is acquired by a human body action identification technology, the sound information comprises the intensity of human speaking sound, the frequency of the human speaking sound and the number of human speaking sound sources and is acquired by the sensor and a monitor, the strength of the human speaking voice represents a decibel value of the human speaking voice, and the frequency of the human speaking voice represents the times of the human speaking voice finished in unit time;
the data analysis module is used for carrying out real-time monitoring analysis operation on the collected house information, and comprises the following specific steps:
the method comprises the following steps: acquiring illumination intensity data in a house, pupil information of human eyes, the number of people in the house, state information of a human body and sound information, and sequentially marking the illumination intensity data, the pupil information of the human eyes, the number of people in the house, the state information of the human body and the sound information as Ac, Bc, Cc, Dc and Ec, wherein c is 1, 2, 3.
Step two: acquiring the luminous flux of the visible light received in the house, and generating a light-required signal when the illumination intensity data Ac in the house is smaller than a set threshold range; when the illumination intensity data Ac in the house is in or larger than a set threshold range, generating an unnecessary light signal, and marking the luminous flux of the visible light received in the house as Ga;
step three: acquiring pupil information Bc of people in a house, generating a light demand signal when the pupil of the people in the current illumination environment is larger than a set threshold, and marking the size of the pupil of the people in the current illumination environment as Ta; when the pupil of the person in the current illumination environment is smaller than or equal to a set threshold value, generating an unnecessary light signal;
step four: acquiring action information Cc of people in the house, and generating a light-required signal when the people in the house are in a movable state; when the human body in the house is in a lying state, an unnecessary optical signal is generated;
step five: acquiring the number Dc of people in a house, generating a light demand signal when the number of people in the house is larger than a set threshold value, and marking the number of people in the house as Ra; when the number of people in the house is less than or equal to a set threshold value, generating an unnecessary light signal;
step six: by the formula
Acquiring a light required coefficient Xa in the house, wherein d1, d2 and d3 are preset proportionality coefficients, and d1 is larger thand2 is greater than d3 and d1+ d2+ d3 is 1, β is an error correction factor, and β is 3.256983;
step seven: acquiring sound information Ec in a house, and analyzing the sound information, wherein the specific analysis steps are as follows:
s1: in t time, acquiring the intensity of the voice sound in the house, and marking the intensity of the voice sound in the house as Qt, wherein t is 1.. n;
s2: in t time, acquiring the frequency of the voice sound in the house, and marking the frequency of the voice sound in the house as Pt, wherein t is 1.. n;
s3: in t time, the number of the human sound sources in the house is obtained, and the number of the human sound sources in the house is marked as St, wherein t is 1.
S4: benefit to the formula
Acquiring sound coefficients At, y, o and w in a house are correction factors, wherein the y, o and w correspond to the intensity and frequency of the human sound and the number of human sound sources one by one, y is larger than o and larger than w, and y + o + w is 1.32568;
s5: when the sound coefficient At in the house is larger than a set threshold value, generating a light-required signal; when the sound coefficient At in the house is smaller than or equal to the set threshold value, generating an unnecessary optical signal;
step eight: the optical signal required or not required produced by the data analysis module is transmitted to the signal processing module together;
the signal processing module is used for analyzing the light-needed signal, the light-not-needed signal, the light-needed coefficient Xa and the sound coefficient At, and the specific analysis steps are as follows:
when the human body in the house is in the active state:
SS 1: when the light demand coefficient Xa and the sound coefficient At are both smaller than the respective preset value M, Y, a no-brightness signal is generated;
SS 2: when the light demand coefficient Xa is larger than the preset value M and the sound coefficient At is smaller than or equal to the preset value Y, generating a middle brightness signal;
SS 3: when the light demand coefficient Xa is less than or equal to the preset value M and the sound coefficient At is greater than the preset value Y, a low brightness signal is generated;
SS 4: when the light demand coefficient Xa and the sound coefficient At are both greater than the respective preset values M, Y, a high brightness signal is generated;
SS 5: sending the non-brightness signal or the medium-brightness signal or the low-brightness signal or the high-brightness signal generated by the signal processing module to the control module;
the control module is used for receiving the signal sent by the signal processing module and controlling the illumination in the house, and comprises a soft start unit, a multipoint control unit, a timing control unit and a remote control unit; the soft start unit is used for gradually turning light from dark to bright when the electric lamp is turned on and gradually turning light to dark when the electric lamp is turned off until the electric lamp is turned off; the multipoint control unit is used for controlling the lighting in the house by a plurality of control switches in the house; the timing control unit is used for setting a certain time and carrying out delay control and advanced control on the illumination in the house; the remote control unit is used for a user to remotely control the illumination in the house through a mobile phone terminal;
the data acquisition module is also used for gathering the lamps and lanterns information in ten days to with lamps and lanterns information transmission to maintenance analysis module, maintenance analysis module is used for carrying out the analysis to the lamps and lanterns information in ten days and sends its analysis result to the database, lamps and lanterns information includes the number of times of use of the lamps and lanterns in ten days, the temperature when using and the number of times of twinkling when using, and concrete analysis step is as follows:
v1: acquiring the use times of the lamp within ten days through a counter, recording the use times and marking the use times of the lamp as Nd within ten days;
v2: acquiring a temperature value of the lamp in use within ten days through a temperature sensor, recording the temperature value in use, and marking the temperature value in use of the lamp as Wd;
v3: acquiring the flicker times of the lamp in use within ten days through a counter, recording the flicker times in use, and marking the flicker times of the lamp in use within ten days as Sd;
v4: by the formula
Obtaining a maintenance-required coefficient Jd of the lamp, wherein C1, C2 and C3 are correction factors, C1, C2 and C3 correspond to the number of times of use in ten days, a temperature value in use and the number of times of flicker in use one by one, C1 is larger than C2 and larger than C3, and C1+ C2+ C3 is 5.369852;
v5: comparing the obtained maintenance-required coefficient Jd of the lamp with a set threshold value U:
if the maintenance-required coefficient Jd of the lamp is larger than the set threshold value U, the system judges that the lamp needs to be maintained, generates a lamp maintenance-required signal and sends the maintenance-required signal to the alarm module;
if the maintenance-needed coefficient Jd of the lamp is smaller than or equal to the set threshold value U, the system judges that the lamp does not need to be maintained, generates a lamp maintenance-needed signal, sends the maintenance-needed signal to the database for storage, and a user can log in and inquire the lamp maintenance-needed signal in the database through a mobile phone terminal.
The alarm module is used for receiving the signal that needs to overhaul, and the analysis maintenance data generates the alarm signal of different grades, collects the unit and is used for collecting maintenance data and user's cell-phone service data, and maintenance data includes the quantity of trouble lamps and lanterns, lamps and lanterns fault time and the daily number of times of using of lamps and lanterns, and specific analysis step is as follows:
p1: acquiring the number of the fault lamps, and marking the number of the fault lamps as Hd;
p2: acquiring the fault time of the lamp, and marking the fault time of the lamp with a time Td;
p3: acquiring the daily use times of the lamp, and marking the daily use times of the lamp as Cd;
p4: by the formula
Acquiring an alarm coefficient Xd, wherein theta is a correction factor and is 1.3695824;
p5: comparing the alarm coefficient Xd with a set threshold value:
if the alarm coefficient Xd is larger than the set threshold value, the alarm module generates a primary alarm signal and sends the primary alarm signal to the user mobile phone terminal through information;
if the alarm coefficient Xd is equal to the set threshold value, the alarm module generates a secondary alarm signal and sends the secondary alarm signal to the user mobile phone terminal through information;
if the alarm coefficient Xd is smaller than the set threshold value, the alarm module generates a three-level alarm signal and sends the three-level alarm signal to the user mobile phone terminal through information;
p6: after the time threshold T1, the alarm module detects the reading state of the alarm signal information of the user mobile phone terminal, if the reading state of the alarm signal information is unread, the alarm module sends the alarm signal information to the user mobile phone terminal again, and sets the time threshold T2, wherein T2 is less than T1, if the alarm module detects the reading state of the alarm signal information of the user mobile phone terminal, and the reading state of the alarm signal information is still unread, the alarm module generates voice information and transmits the voice information to the user through a telephone, thereby ensuring that the user receives the alarm signal information.
The working principle of the invention is as follows:
the user sends user information to the database for storage through the mobile phone terminal, the data acquisition module is used for acquiring information in a house in real time and marking the information as house information, the house information comprises illumination intensity data, pupil information of human eyes, the number of people in the house, state information of human bodies and sound information, the house information is transmitted to the data analysis module together, the data analysis module is used for monitoring and analyzing the acquired house information in real time, the signal processing module is used for analyzing a light demand signal, a light unnecessary signal, a light demand coefficient Xa and a sound coefficient At, and when the light demand coefficient Xa and the sound coefficient At are smaller than respective preset values M, Y, a no-brightness signal is generated; when the light demand coefficient Xa is larger than the preset value M and the sound coefficient At is smaller than or equal to the preset value Y, generating a middle brightness signal; when the light demand coefficient Xa is less than or equal to the preset value M and the sound coefficient At is greater than the preset value Y, a low brightness signal is generated; when the light demand coefficient Xa and the sound coefficient At are both greater than the respective preset values M, Y, a high brightness signal is generated; sending a no-brightness signal or a medium-brightness signal or a low-brightness signal or a high-brightness signal generated by a signal processing module to a control module, wherein the control module is used for receiving the signal sent by the signal processing module and controlling the illumination in a house, the data acquisition module is also used for acquiring the lamp information within ten days and transmitting the lamp information to an overhaul analysis module, the overhaul analysis module is used for analyzing the lamp information within ten days and sending the analysis result to a database, acquiring the use times, the use temperature value and the use flashing times of the lamp within ten days, acquiring the overhaul-needed coefficient Jd of the lamp through a formula, and if the overhaul-needed coefficient Jd of the lamp is greater than a set threshold value U, judging that the lamp needs to be overhauled by a system, generating a lamp overhaul-needed signal and sending the overhaul-needed signal to an alarm module; if the maintenance-needed coefficient Jd of the lamp is smaller than or equal to the set threshold value U, the system judges that the lamp does not need to be maintained, generates a lamp maintenance-needed signal, sends the maintenance-needed signal to the database for storage, and a user can log in and inquire the lamp maintenance-needed signal in the database through a mobile phone terminal.
The above formulas are all quantitative calculation, the formula is a formula obtained by acquiring a large amount of data and performing software simulation to obtain the latest real situation, and the preset parameters in the formula are set by the technical personnel in the field according to the actual situation.
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 home lighting control system based on the Internet of things is characterized by comprising a data acquisition module, a data analysis module, a signal processing module, a control module, a remote control unit, a timing control unit, a multi-point control unit, a soft start unit, a database, a user login module and an overhaul analysis module;
the data acquisition module is used for acquiring information in a house in real time, marking the information as house information and transmitting the house information to the data analysis module;
the data analysis module is used for carrying out real-time monitoring analysis operation on the collected house information, and comprises the following specific steps:
the method comprises the following steps: acquiring illumination intensity data in a house, pupil information of human eyes, the number of people in the house, state information of a human body and sound information, and sequentially marking the illumination intensity data, the pupil information of the human eyes, the number of people in the house, the state information of the human body and the sound information as Ac, Bc, Cc, Dc and Ec, wherein c is 1, 2, 3.
Step two: acquiring the luminous flux of the visible light received in the house, and generating a light-required signal when the illumination intensity data Ac in the house is smaller than a set threshold range; when the illumination intensity data Ac in the house is in or larger than a set threshold range, generating an unnecessary light signal, and marking the luminous flux of the visible light received in the house as Ga;
step three: acquiring pupil information Bc of people in a house, generating a light demand signal when the pupil of the people in the current illumination environment is larger than a set threshold, and marking the size of the pupil of the people in the current illumination environment as Ta; when the pupil of the person in the current illumination environment is smaller than or equal to a set threshold value, generating an unnecessary light signal;
step four: acquiring action information Cc of people in the house, and generating a light-required signal when the people in the house are in a movable state; when the human body in the house is in a lying state, an unnecessary optical signal is generated;
step five: acquiring the number Dc of people in a house, generating a light demand signal when the number of people in the house is larger than a set threshold value, and marking the number of people in the house as Ra; when the number of people in the house is less than or equal to a set threshold value, generating an unnecessary light signal;
step six: by the formula
Acquiring a light demand coefficient Xa in a house, wherein d1, d2 and d3 are preset proportionality coefficients, d1 is larger than d2 and larger than d3, d1+ d2+ d3 is 1, beta is an error correction factor, and beta is 3.256983;
step seven: acquiring sound information Ec in a house, and analyzing the sound information, wherein the specific analysis steps are as follows:
s1: in t time, acquiring the intensity of the voice sound in the house, and marking the intensity of the voice sound in the house as Qt, wherein t is 1.. n;
s2: in t time, acquiring the frequency of the voice sound in the house, and marking the frequency of the voice sound in the house as Pt, wherein t is 1.. n;
s3: in t time, the number of the human sound sources in the house is obtained, and the number of the human sound sources in the house is marked as St, wherein t is 1.
S4: benefit to the formula
Acquiring sound coefficients At, y, o and w in a house are correction factors, wherein the y, o and w correspond to the intensity and frequency of the human sound and the number of human sound sources one by one, y is larger than o and larger than w, and y + o + w is 1.32568;
s5: when the sound coefficient At in the house is larger than a set threshold value, generating a light-required signal; when the sound coefficient At in the house is smaller than or equal to the set threshold value, generating an unnecessary optical signal;
step eight: the optical signal required or not required produced by the data analysis module is transmitted to the signal processing module together;
the signal processing module is used for analyzing the light-needed signal, the light-not-needed signal, the light-needed coefficient Xa and the sound coefficient At, and the specific analysis steps are as follows:
when the human body in the house is in the active state:
SS 1: when the light demand coefficient Xa and the sound coefficient At are both smaller than the respective preset value M, Y, a no-brightness signal is generated;
SS 2: when the light demand coefficient Xa is larger than the preset value M and the sound coefficient At is smaller than or equal to the preset value Y, generating a middle brightness signal;
SS 3: when the light demand coefficient Xa is less than or equal to the preset value M and the sound coefficient At is greater than the preset value Y, a low brightness signal is generated;
SS 4: when the light demand coefficient Xa and the sound coefficient At are both greater than the respective preset values M, Y, a high brightness signal is generated;
SS 5: and the control module is used for receiving the no-brightness signal or the medium-brightness signal or the low-brightness signal or the high-brightness signal sent by the signal processing module and controlling the illumination in the house.
2. The intelligent household lighting control system based on the internet of things according to claim 1, wherein the user login module is used for sending user information to the database for storage through the mobile phone terminal, and the user information comprises a name of the user, a mobile phone number of real-name authentication of the user, an age of the user and a photo.
3. The intelligent home lighting control system based on the internet of things according to claim 1, wherein the control module comprises a soft start unit, a multipoint control unit, a timing control unit and a remote control unit; the soft starting unit is used for gradually turning light from dark to bright when the electric lamp is started and gradually turning light to dark from bright until the electric lamp is turned off; the multipoint control unit is used for controlling the lighting in the house by a plurality of control switches in the house; the timing control unit is used for setting a certain time and carrying out delay control and advanced control on illumination in the house; the remote control unit is used for a user to remotely control the illumination in the house through the mobile phone terminal.
4. The intelligent home lighting control system based on the internet of things according to claim 1, wherein the data acquisition module is further configured to acquire lamp information within ten days, and transmit the lamp information to the overhaul analysis module, the overhaul analysis module is configured to analyze the lamp information within ten days and send an analysis result thereof to the database, the lamp information includes the number of times of use of the lamp within ten days, the temperature during use, and the number of times of flashing during use, and the specific analysis steps are as follows:
v1: acquiring the use times of the lamp within ten days through a counter, recording the use times and marking the use times of the lamp as Nd within ten days;
v2: acquiring a temperature value of the lamp in use within ten days through a temperature sensor, recording the temperature value in use, and marking the temperature value in use of the lamp as Wd;
v3: acquiring the flicker times of the lamp in use within ten days through a counter, recording the flicker times in use, and marking the flicker times of the lamp in use within ten days as Sd;
v4: by the formula
Obtaining a maintenance-required coefficient Jd of the lamp, wherein C1, C2 and C3 are correction factors, C1, C2 and C3 correspond to the number of times of use in ten days, a temperature value in use and the number of times of flicker in use one by one, C1 is larger than C2 and larger than C3, and C1+ C2+ C3 is 5.369852;
v5: comparing the obtained maintenance-required coefficient Jd of the lamp with a set threshold value U:
if the maintenance-required coefficient Jd of the lamp is larger than the set threshold value U, the system judges that the lamp needs to be maintained, generates a lamp maintenance-required signal and sends the maintenance-required signal to the alarm module;
if the maintenance-needed coefficient Jd of the lamp is smaller than or equal to the set threshold value U, the system judges that the lamp does not need to be maintained, generates a lamp maintenance-needed signal, sends the maintenance-needed signal to the database for storage, and a user can log in and inquire the lamp maintenance-needed signal in the database through a mobile phone terminal.
5. The intelligent home lighting control system based on the internet of things according to claim 1, wherein the house information includes illumination intensity data, pupil information of human eyes, the number of people in a house, state information of a human body and sound information, the illumination intensity data represents luminous flux of visible light received in the house and is acquired by a sensor and the like, the pupil information of the human eyes represents the size of pupils of people in the current illumination environment and is acquired by a camera and the like, the number of people in the house can be acquired by the sensor, the state information of the human body includes the activity state and the lying state of the people and is acquired by a human body action recognition technology, the sound information includes the intensity of human speaking sound, the frequency of the human speaking sound and the number of human speaking sound sources and is acquired by the sensor and the monitor, the intensity of the human speaking sound represents a decibel value of the human sound, the frequency of the human speech sound represents the number of times the human speech sound is completed in a unit time.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112984386A (en) * | 2021-02-04 | 2021-06-18 | 许昌学院 | Intelligent pipe network monitoring system based on big data |
| CN113677072A (en) * | 2021-08-23 | 2021-11-19 | 安徽世林照明股份有限公司 | Panel lamp based on WIFI intelligent control |
| CN115423559A (en) * | 2022-09-06 | 2022-12-02 | 武汉美立森家居有限公司 | Home product online exhibition display method based on virtual VR technology |
| CN115696700A (en) * | 2022-11-11 | 2023-02-03 | 广州市迪声音响有限公司 | Acousto-optic control method and system |
| CN116223000A (en) * | 2023-03-13 | 2023-06-06 | 合肥学院 | Intelligent online automatic detection system for machine faults |
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2020
- 2020-08-17 CN CN202010826176.8A patent/CN111935881A/en not_active Withdrawn
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112984386A (en) * | 2021-02-04 | 2021-06-18 | 许昌学院 | Intelligent pipe network monitoring system based on big data |
| CN113677072A (en) * | 2021-08-23 | 2021-11-19 | 安徽世林照明股份有限公司 | Panel lamp based on WIFI intelligent control |
| CN115423559A (en) * | 2022-09-06 | 2022-12-02 | 武汉美立森家居有限公司 | Home product online exhibition display method based on virtual VR technology |
| CN115423559B (en) * | 2022-09-06 | 2024-05-14 | 湖南恒达讯飞科技有限公司 | Online exhibition method for household products based on virtual VR technology |
| CN115696700A (en) * | 2022-11-11 | 2023-02-03 | 广州市迪声音响有限公司 | Acousto-optic control method and system |
| CN116223000A (en) * | 2023-03-13 | 2023-06-06 | 合肥学院 | Intelligent online automatic detection system for machine faults |
| CN116223000B (en) * | 2023-03-13 | 2023-09-26 | 合肥学院 | Intelligent online automatic detection system for machine faults |
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