CN113701316B - Intelligent park information acquisition method and system based on artificial intelligence - Google Patents
Intelligent park information acquisition method and system based on artificial intelligence Download PDFInfo
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- CN113701316B CN113701316B CN202111245639.2A CN202111245639A CN113701316B CN 113701316 B CN113701316 B CN 113701316B CN 202111245639 A CN202111245639 A CN 202111245639A CN 113701316 B CN113701316 B CN 113701316B
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/50—Control or safety arrangements characterised by user interfaces or communication
- F24F11/56—Remote control
- F24F11/58—Remote control using Internet communication
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
- F24F11/63—Electronic processing
- F24F11/64—Electronic processing using pre-stored data
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/70—Control systems characterised by their outputs; Constructional details thereof
- F24F11/72—Control systems characterised by their outputs; Constructional details thereof for controlling the supply of treated air, e.g. its pressure
- F24F11/74—Control systems characterised by their outputs; Constructional details thereof for controlling the supply of treated air, e.g. its pressure for controlling air flow rate or air velocity
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/70—Control systems characterised by their outputs; Constructional details thereof
- F24F11/72—Control systems characterised by their outputs; Constructional details thereof for controlling the supply of treated air, e.g. its pressure
- F24F11/79—Control systems characterised by their outputs; Constructional details thereof for controlling the supply of treated air, e.g. its pressure for controlling the direction of the supplied air
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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
- H05B47/11—Controlling the light source in response to determined parameters by determining the brightness or colour temperature of ambient light
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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
- H05B47/12—Controlling the light source in response to determined parameters by determining the presence or movement of objects or living beings by detecting audible sound
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F2120/00—Control inputs relating to users or occupants
- F24F2120/10—Occupancy
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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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- Fluid Mechanics (AREA)
- Human Computer Interaction (AREA)
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- Air Conditioning Control Device (AREA)
Abstract
The invention discloses a smart park information acquisition method and system based on artificial intelligence, wherein the method is applied to the smart park information acquisition system based on artificial intelligence; the system comprises a first controller, a server and a positioning and tracking unit; each room in the garden is provided with an air conditioner and the first controller; the first controller is used for controlling the air conditioner; when the air conditioner in the room of garden is by manual start, can carry out corresponding energy-conserving adjustment on the basis of the air conditioner operating parameter that sets up when manual start, specifically do: when the working mode of the air conditioner is heating, the starting temperature value is adjusted to be low, and the starting air volume is adjusted to be small; when the working mode of the air conditioner is refrigeration, the starting temperature value is adjusted to be high, and the starting air volume is adjusted to be low; then the air conditioner is controlled to operate according to the adjusted parameters, so that the power consumption of the air conditioner can be reduced, the energy-saving control scheme of the air conditioner in the intelligent park is perfected, and the effect of saving electric energy is further improved.
Description
Technical Field
The invention relates to the technical field of information acquisition, in particular to an intelligent park information acquisition method and system based on artificial intelligence.
Background
With the development of economy, industrial parks in various places appear and develop like bamboo shoots in spring after rain; meanwhile, with the increasing shortage of energy resources and the increasing demand of energy, the proportion of the energy cost in the production cost of each enterprise in the industrial park is gradually increased, which also forces managers and enterprise managers in the industrial park to have to continuously strengthen the intensity of the energy management work in the industrial park from the aspects of reducing the enterprise operation cost and improving the comprehensive competitiveness of the enterprise.
In the existing intelligent park energy management scheme, the management of electric energy is particularly important, and an air conditioner is used as equipment with larger power consumption ratio and is key equipment for energy management; the existing energy-saving control scheme for the air conditioners in the garden generally starts and stops the air conditioners at a unified timing, the energy-saving control scheme is simple, and the electric energy saving effect needs to be improved.
Disclosure of Invention
The invention mainly aims to provide an intelligent park information acquisition method and system based on artificial intelligence, and aims to solve the problems that an existing energy-saving control scheme for air conditioners in a park is simple, and the electric energy saving effect needs to be improved.
The technical scheme provided by the invention is as follows:
an artificial intelligence based intelligent park information acquisition method is applied to an artificial intelligence based intelligent park information acquisition system; the system comprises a first controller, a server and a positioning and tracking unit; each room in the garden is provided with an air conditioner and the first controller; the first controller is used for controlling the air conditioner; the air conditioner is provided with an air outlet baffle; the positioning and tracking unit and the first controller are both in communication connection with the server; the method comprises the following steps:
when the first controller is manually controlled to start an air conditioner, the first controller sends a self-starting signal to the server;
the server acquires a working mode, a starting temperature value and a starting air volume when the first controller is manually controlled to start the air conditioner based on the self-starting signal;
the server generates adjustment information according to the working mode, wherein when the working mode is heating, the adjustment information is used for reducing the starting temperature value and reducing the starting air volume; when the working mode is refrigeration, the adjustment information is that the server increases the starting temperature value and decreases the starting air volume;
the server controls the air conditioner to operate according to the adjustment information through the first controller;
the server is used for acquiring the head position of the user acquired by the positioning and tracking unit and controlling the action of an air outlet baffle of the air conditioner through the first controller according to the head position of the user so as to adjust the air outlet direction of the air conditioner.
Preferably, the system further comprises a camera in communication connection with the server; the cameras are arranged in each room in the garden; the self-starting signal comprises a starting moment; the server generates adjustment information according to the working mode, and the method comprises the following steps:
the server controls the camera to shoot scenes in the room based on the self-starting signal, and obtains videos in the room generated by shooting;
the server carries out image recognition on the video in the room so as to judge whether a person exists in a room corresponding to the video in the room within a first preset time from the starting time;
if yes, executing the server to generate adjustment information according to the working mode, and then executing the steps;
if not, the server closes the air conditioner through the first controller.
Preferably, the server is configured to obtain the head position of the user collected by the positioning and tracking unit, and control the air outlet baffle of the air conditioner to move according to the head position of the user through the first controller, so as to adjust the air outlet direction of the air conditioner, and includes:
the server carries out image recognition on the video in the room so as to judge whether the old people or children exist in the room corresponding to the video in the room;
when the old people or children exist and the working mode is heating, the server controls the action of an air outlet baffle of the air conditioner through the first controller so that the air outlet direction of the air conditioner faces to the bottom space of the room;
when the old people or children exist and the working mode is refrigeration, the server controls the air outlet baffle of the air conditioner to act through the first controller, so that the air outlet direction of the air conditioner faces to the top space of the room.
Preferably, the system further comprises a first temperature sensor communicatively coupled to the server; the server performs image recognition on the video in the room to judge whether a person exists in a room corresponding to the video in the room within a first preset time period from the starting time, and the method further includes the following steps:
the server acquires the current outdoor temperature value of the park through the first temperature sensor;
the server acquires a standard temperature interval and an indoor area value of a room where an air conditioner is located;
the server generates the first preset time based on the current outdoor temperature value, the standard temperature interval and the indoor area value:
T1=Tb,(W2≤Ws≤W1)
wherein, T1The first preset time is the unit of minutes; t isbIs the standard waiting time length, and the unit is minute; wsThe current outdoor temperature value is obtained; w1The upper limit value of the standard temperature interval is set; w2The lower limit value of the standard temperature interval is set; s1Is the indoor area value; a is a temperature proportion correction value and is a constant greater than 0; and B is an area ratio correction value and is a constant larger than 0.
Preferably, the system further comprises a second temperature sensor communicatively connected to the server; the second temperature sensor is arranged in the room and used for detecting the current indoor temperature value in the room in real time; the server generates adjustment information according to the working mode, and the adjustment information comprises the following steps:
the server carries out image analysis on the video in the room to obtain the number of people existing in the room after the first preset time from the starting time;
when the working mode is heating, generating a first temperature change value based on the number of people, the current indoor temperature value and the starting temperature value:
wherein, W1,bIs the first temperature change value; wqIs the start temperature value; wsThe current indoor temperature value is obtained; c is the number of people; cbA human number reference value, which is a constant greater than 0; d is a first correction coefficient and is a constant larger than 0;
the server reduces the starting temperature value to be the first temperature change value, and reduces the starting air volume to generate the adjustment information;
when the working mode is refrigeration, generating a second temperature change value based on the number of people, the current indoor temperature value and the starting temperature value:
wherein, W2,bIs the second temperature change value; wqIs the start temperature value; wsThe current indoor temperature value is obtained; c is the number of people; cbA human number reference value, which is a constant greater than 0; e is a second correction coefficient and is a constant larger than 0;
and the server increases the starting temperature value to be the second temperature change value and decreases the starting air volume to generate the adjustment information.
Preferably, the system further comprises an intelligent electric meter electrically connected with each air conditioner in the park; the intelligent electric meter is in communication connection with the server; the method further comprises the following steps:
the intelligent electric meter sends power consumption values corresponding to all air conditioners in a past preset time period to the server;
the server carries out image analysis on the videos in the rooms corresponding to the cameras in the past preset time period so as to obtain the number of people who appear in the corresponding rooms and have a single stay time length exceeding a second preset time length when the air conditioner is started in the past preset time period;
the server establishes a corresponding relation between the power consumption value and the number of people;
and the server divides the power consumption value by the corresponding times of the people to obtain the per-person power consumption value corresponding to each air conditioner.
Preferably, the system further comprises a sound sensor, a street lamp, a second controller and a night lamp; the street lamps are arranged in the garden; the sound sensor, the night lamp and the second controller are all arranged on the street lamp; the second controller is used for controlling the on-off of the night lamp and the street lamp; the sound sensor and the second controller are both in communication connection with the server; the power of the night lamp is lower than that of the street lamp; the method further comprises the following steps:
the sound sensor sends a sound signal detected in real time to the server;
when the sound signal is greater than the first preset intensity, the server starts the night lamp through the second controller, and the starting duration of the night lamp is a third preset duration;
during the night lamp starting period, the server judges whether the sound sensor detects a sound signal with intensity greater than a second preset intensity, wherein the second preset intensity is greater than the first preset intensity;
if yes, the server is started through the second controller, the street lamp is closed, and the starting time of the street lamp is the fourth preset time.
Preferably, the system further comprises a first light sensor arranged on the park; the first light sensor is in communication connection with the server; the method further comprises the following steps:
when the current time is daytime, the server controls the night lamp and the street lamp to be turned off through the second controller;
when the current moment is night, the first light sensor sends the illuminance detected in real time to the server;
when the illuminance is greater than a preset illuminance, the server marks a detection time point of the illuminance as an initial time, wherein the preset illuminance corresponds to an average illuminance of a local area when lightning appears at night;
the server judges whether the sound signal detected by the sound sensor is greater than a third preset intensity within a fifth preset time from the starting moment, wherein the third preset intensity corresponds to the average sound intensity of the thunderstorm weather in the local area at night, and the fifth preset time corresponds to the average interval time between lightning and accompanying thunder and is plus 3 seconds;
if yes, the server controls the night lamp to be turned off through the second controller.
Preferably, the system further comprises an indoor lamp, a second light sensor and a third controller; the third controller is used for controlling the on-off of the indoor lamp; the indoor lamps and the second light sensors are arranged in the same room, and the number of the indoor lamps in the same room is multiple; the third controller and the second light sensor are both in communication connection with the server; the method further comprises the following steps:
when all the indoor lamps in the room are turned off, the second light sensor detects the illuminance in the room in real time, marks the illuminance in the room at a preset moment before the indoor lamps are started as a first illuminance, and sends the first illuminance to the server;
when the indoor lamp in the room is started, the second light sensor detects the illuminance in the room in real time, marks the illuminance as a second illuminance, and sends the second illuminance to the server;
the server generates a required number based on a difference between the second illuminance and the first illuminance, and the number of the indoor lamps:
wherein X is the required number and is a positive integer; e1The first illuminance is the first illuminance; e2The second illuminance is the first illuminance; esThe standard illuminance is expressed as the indoor illuminance which can work normally and live, and a normal number is taken; c1The number of the indoor lamps;
the server controls the maximum number of the indoor lamps in the room to be started to be the required number through the third controller.
The invention also provides an artificial intelligence based intelligent information acquisition system, which is applied to any artificial intelligence intelligent information acquisition method; the system comprises a first controller, a server and a positioning and tracking unit; each room in the garden is provided with an air conditioner and the first controller; the first controller is used for controlling the air conditioner; the air conditioner is provided with an air outlet baffle; the positioning and tracking unit and the first controller are both in communication connection with the server.
Through above-mentioned technical scheme, can realize following beneficial effect:
when an air conditioner in a room of a park is manually started, corresponding energy-saving adjustment is performed on the basis of air conditioner operation parameters set during manual starting, and the method specifically comprises the following steps: when the working mode of the air conditioner is heating, the starting temperature value is adjusted to be low, and the starting air volume is adjusted to be small; when the working mode of the air conditioner is refrigeration, the starting temperature value is adjusted to be high, and the starting air volume is adjusted to be low; then the air conditioner is controlled to operate according to the adjusted parameters, so that the power consumption of the air conditioner can be reduced, the energy-saving control scheme of the air conditioner in the intelligent park is perfected, and the effect of saving electric energy is further improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the structures shown in the drawings without creative efforts.
FIG. 1 is a flowchart illustrating a first embodiment of a smart park information collection method based on artificial intelligence according to the present invention.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
The invention provides an intelligent park information acquisition method and system based on artificial intelligence.
As shown in fig. 1, in a first embodiment of the intelligent park information acquisition method based on artificial intelligence, the intelligent park information acquisition method based on artificial intelligence is applied to an artificial intelligence intelligent park information acquisition system; the system comprises a first controller, a server and a positioning and tracking unit; each room in the garden is provided with an air conditioner and the first controller; the first controller is used for controlling the air conditioner; the air conditioner is provided with an air outlet baffle; the positioning and tracking unit and the first controller are both in communication connection with the server; the embodiment comprises the following steps:
step S110: when the first controller is manually controlled to start the air conditioner, the first controller sends a self-starting signal to the server.
Specifically, when the first controller in the room is manually controlled by a person entering the room to start the air conditioner in the room, the first controller sends a self-starting signal to the server, and the self-starting signal is used for informing the server that the air conditioner in the room has been manually started.
Step S120: and the server acquires a working mode, a starting temperature value and a starting air volume when the first controller is manually controlled to start the air conditioner based on the self-starting signal.
Specifically, after the server receives the self-starting signal, the working mode, the starting temperature value and the starting air volume when the first controller is manually controlled to start the air conditioner (namely manually set by a person entering a room) are actively acquired.
Step S130: the server generates adjustment information according to the working mode, wherein when the working mode is heating, the adjustment information is used for reducing the starting temperature value and reducing the starting air volume; and when the working mode is refrigeration, the adjustment information is that the server increases the starting temperature value and decreases the starting air volume.
Specifically, the server generates corresponding adjustment information based on the working mode, namely when the working mode is heating, the starting temperature value is adjusted to be low, and the starting air volume is adjusted to be small; when the working mode is refrigeration, the starting temperature value is adjusted to be high, and the starting air volume is adjusted to be small. Therefore, the working power of the air conditioner can be reduced, so that the power consumption is reduced, and the aim of saving energy is fulfilled.
Step S140: and the server controls the air conditioner to operate according to the adjustment information through the first controller.
Specifically, the server remotely controls the air conditioner to operate according to the adjustment information through the first controller, namely when the working mode of the air conditioner is heating, the starting temperature value is adjusted to be low, and the starting air volume is adjusted to be small; when the working mode of the air conditioner is refrigeration, the starting temperature value is adjusted to be high, and the starting air volume is adjusted to be low.
Step S150: the server is used for acquiring the head position of the user acquired by the positioning and tracking unit and controlling the action of an air outlet baffle of the air conditioner through the first controller according to the head position of the user so as to adjust the air outlet direction of the air conditioner.
Specifically, when the working mode of the air conditioner is heating, the server reduces the starting temperature value and reduces the starting air volume; when the working mode of the air conditioner is refrigeration, the starting temperature value is adjusted to be high, and the starting air volume is adjusted to be low; therefore, the room cannot be rapidly cooled or heated, so that people in the room feel overheated in summer or overcooled in winter; in order to relieve the situation, the server collects the head position of the user through a positioning and tracking unit, the positioning and tracking unit is an infrared thermal imager arranged on an air conditioner body, the server can control an air outlet baffle of the air conditioner to perform corresponding actions through a first controller according to the head position of the user so as to adjust the air outlet direction of the air conditioner, and therefore the air outlet direction of the air conditioner faces to a height interval where the head of the user is located; the purposes of saving electric energy and user experience are achieved.
When an air conditioner in a room of a park is manually started, corresponding energy-saving adjustment is performed on the basis of air conditioner operation parameters set during manual starting, and the method specifically comprises the following steps: when the working mode of the air conditioner is heating, the starting temperature value is adjusted to be low, and the starting air volume is adjusted to be small; when the working mode of the air conditioner is refrigeration, the starting temperature value is adjusted to be high, and the starting air volume is adjusted to be low; then the air conditioner is controlled to operate according to the adjusted parameters, so that the power consumption of the air conditioner can be reduced, the energy-saving control scheme of the air conditioner in the intelligent park is perfected, and the effect of saving electric energy is further improved.
In a second embodiment of the intelligent park information acquisition method based on artificial intelligence, based on the first embodiment, the system further comprises a camera in communication connection with the server; the cameras are arranged in each room in the garden; the self-starting signal comprises a starting moment; step S130, the method further includes the following steps:
step S210: and the server controls the camera to shoot scenes in the room based on the self-starting signal and acquires the shot and generated videos in the room.
Specifically, after the air conditioner in the room is manually started, the server controls the camera to shoot the scene in the room so as to generate the video in the room.
Step S220: and the server performs image recognition on the video in the room to judge whether a person exists in the room corresponding to the video in the room within a first preset time from the starting time.
Specifically, the server performs image recognition on the video in the room to determine whether a person is present in the room for a first preset time (e.g., 5 minutes) from the starting time.
If yes, go to step S130 and the following steps.
Specifically, if yes, it is indicated that there is indeed a person in the room, i.e., step S130 is normally executed, i.e., the subsequent steps.
If not, go to step S230: the server turns off the air conditioner through the first controller.
Specifically, if the current time is not less than the preset time, it is indicated that no people are present in the room within 5 minutes after the air conditioner is started, and in order to avoid electric energy waste, the server turns off the air conditioner through the first controller.
In a third embodiment of the intelligent park information collection method based on artificial intelligence, based on the second embodiment, step S150 includes the following steps:
step S310: and the server performs image recognition on the video in the room to judge whether the old people or children exist in the room corresponding to the video in the room.
Specifically, whether an old man or a child is present in the room is determined by performing image analysis on the face of the person appearing in the video in the room.
Step S320: when the old people or children exist and the working mode is heating, the server controls the air outlet baffle of the air conditioner to act through the first controller, so that the air outlet direction of the air conditioner faces to the bottom space of the room.
Specifically, when the old people or the children exist in the room, the old people or the children are not suitable for directing the air outlet direction of the air conditioner to the head position of the people in the room due to weak physique of the old people and the children; therefore, when the working mode is heating, the server controls the air outlet baffle plate of the air conditioner to act through the first controller, so that the air outlet direction of the air conditioner faces to the bottom space of a room, hot air can be prevented from directly blowing to the head of the old or children, the hot air of the air conditioner is blown to the bottom of the room due to the rising trend of the hot air, and the total temperature in the room can be rapidly raised.
Step S330: when the old people or children exist and the working mode is refrigeration, the server controls the air outlet baffle of the air conditioner to act through the first controller, so that the air outlet direction of the air conditioner faces to the top space of the room.
Specifically, when the old people or the children exist in the room, the old people or the children are not suitable for directing the air outlet direction of the air conditioner to the head position of the people in the room due to weak physique of the old people and the children; therefore, when the working mode is refrigeration, the server controls the air outlet baffle plate of the air conditioner to act through the first controller, so that the air outlet direction of the air conditioner faces the top space of a room, cold air can be prevented from directly blowing to the head of the old or children, the cold air of the air conditioner is blown to the top of the room due to the descending trend of the cold air, and the total temperature in the room is favorably and rapidly reduced.
In a fourth embodiment of the intelligent park information acquisition method based on artificial intelligence, based on the second embodiment, the system further comprises a temperature sensor in communication connection with the server; step S220, the method further includes the following steps:
step S410: and the server acquires the current outdoor temperature value of the park through the temperature sensor.
Step S420: the server acquires a standard temperature interval and an indoor area value of a room where the air conditioner is located.
Specifically, the standard temperature range is a temperature range in which a human body feels comfortable, and when the outside is located in the temperature range, the air conditioner is not required to be turned on, and the temperature range is preferably 12 to 26 degrees celsius.
Step S430: the server generates the first preset time based on the current outdoor temperature value, the standard temperature interval and the indoor area value:
wherein, T1The first preset time is the unit of minutes; t isbIs a standard waiting time in minutes, preferably 1 minute in this embodiment; wsThe current outdoor temperature value is obtained; w1The upper limit value of the standard temperature interval is set; w2The lower limit value of the standard temperature interval is set; s1Is the indoor area value; a is a temperature proportion correction value which is a constant greater than 0, and 10 is taken in the embodiment; b is an area ratio correction value, which is a constant greater than 0, and 10 is taken in this example.
The meaning of the above formula is that in summer, that is, when the outdoor temperature is greater than the upper limit value of the standard temperature interval, the outdoor temperature is higher, and the area in the room is larger, the more electric energy is consumed to reach the appropriate temperature in the room when the air conditioner is operated, and in order to ensure the energy-saving effect, the first preset time needs to be set smaller, so that the first preset time is inversely proportional to the outdoor temperature value and the room area value.
In winter, that is, when the outdoor temperature is lower than the lower limit value of the standard temperature interval, the lower the outdoor temperature is, and the larger the area in the room is, the more electric energy is consumed for reaching the appropriate temperature in the room when the air conditioner is operated, and in order to ensure the energy-saving effect, the first preset time length needs to be set to be smaller, so that the first preset time length is in direct proportion to the outdoor temperature value and is in inverse proportion to the room area value.
When the outdoor temperature falls into the standard temperature range, the air conditioner does not need to be started, so that the first preset time length is directly set as the standard waiting time length, namely 1 minute.
In a fifth embodiment of the intelligent park information acquisition method based on artificial intelligence, based on the second embodiment, the system further comprises a second temperature sensor in communication connection with the server; the second temperature sensor is arranged in the room and used for detecting the current indoor temperature value in the room in real time; step S130, including the steps of:
step S510: and the server performs image analysis on the video in the room to acquire the number of people existing in the room after the first preset time from the starting time.
Specifically, the server obtains the number of people existing in the room after the air conditioner is started for a first preset time.
Step S520: when the working mode is heating, generating a first temperature change value based on the number of people, the current indoor temperature value and the starting temperature value:
wherein, W1,bIs the first temperature change value; wqIs the start temperature value; wnThe current indoor temperature value is obtained; c is the number of people; cbThe reference value of the number of people is a constant greater than 0, and the number of people suitable for entering the room is expressed, and 5 is taken in the embodiment; d is a first correction coefficient, which is a constant greater than 0, and is 0.2 in this embodiment.
Specifically, the above formula means: the first temperature change value is a change value of temperature reduction on the basis of the starting temperature value; (W)q-Wn) After the air conditioner is started, the temperature value required to be increased when the room is increased to the set temperature value is expressed; the more the number of people in the room, the more the heat emitted by the human body in the room, the easier the room becomes warm, so the first temperature change value can be correspondingly increased, and the first temperature change value is in direct proportion to the number of people in the room.
Step S530: and the server reduces the starting temperature value to be the first temperature change value and reduces the starting air volume to generate the adjustment information.
Step S540: and when the working mode is refrigeration, generating a second temperature change value based on the number of people, the current indoor temperature value and the starting temperature value.
Wherein, W2,bIs the second temperature change value; wqIs the start temperature value; wnThe current indoor temperature value is obtained; c is the number of people; cbA human number reference value, which is a constant greater than 0; and E is a second correction coefficient which is a constant larger than 0 and is 0.2.
Specifically, the above formula means: the second temperature change value is a change value of temperature rise on the basis of the starting temperature value; (W)n-Wq) The temperature value required to be reduced when the temperature in the room is reduced to the set temperature value after the air conditioner is started is expressed; the more the number of people in the room, the more heat the human body radiates, the harder the room becomes to cool, so the second temperature change value needs to be correspondingly smaller, so the second temperature change value is inversely proportional to the number of people in the room.
Step S550: and the server increases the starting temperature value to be the second temperature change value and decreases the starting air volume to generate the adjustment information.
In a sixth embodiment of the intelligent park information acquisition method based on artificial intelligence, based on the second embodiment, the system further comprises an intelligent electric meter electrically connected with each air conditioner in the park; the intelligent electric meter is in communication connection with the server; the embodiment further comprises the following steps:
step S610: and the intelligent electric meter sends the power consumption value corresponding to each air conditioner in the past preset time period to the server.
Specifically, the preset time period is preferably 1 week.
Step S620: and the server performs image analysis on the videos in the rooms corresponding to the cameras in the past preset time period to obtain the number of people who appear in the corresponding rooms and have a single stay time length exceeding a second preset time length when the air conditioner is started in the past preset time period.
Specifically, the second preset time period is preferably 3 minutes to eliminate people accidentally entering the room; the number of people can reflect the number of people covered when the air conditioner is started.
Step S630: and the server establishes a corresponding relation between the power consumption value and the number of people.
Specifically, the power consumption value of the same air conditioner and the number of people covered by the air conditioner during starting are corresponding to each other.
Step S640: and the server divides the power consumption value by the corresponding times of the people to obtain the per-person power consumption value corresponding to each air conditioner.
Specifically, the average power consumption value here can reflect the relationship between the power consumption of each air conditioner and the number of covered persons. The electric energy utilization rate of each air conditioner can be known by comparing the average power consumption value of each air conditioner, and the higher the average power consumption value of each air conditioner is, the lower the electric energy utilization rate is when the air conditioner consumes the same electric energy, the fewer the covered personnel are; on the contrary, the lower the per-person power consumption value is, the more people the air conditioner covers under the condition of consuming the same electric energy, the higher the electric energy utilization rate is; the event is through the per capita power consumption value of observing each air conditioner to the electric energy utilization of each air conditioner in the help managers garden, so that the summary analysis of being convenient for, and then the electric energy utilization of the air conditioner in order to promote whole garden is formulated to the scheme.
In a seventh embodiment of the intelligent park information acquisition method based on artificial intelligence, based on the first embodiment, the system further comprises a sound sensor, a street lamp, a second controller and a night lamp; the street lamps are arranged in the garden; the sound sensor, the night lamp and the second controller are all arranged on the street lamp; the second controller is used for controlling the on-off of the night lamp and the street lamp; the sound sensor and the second controller are both in communication connection with the server; the power of the night lamp is lower than that of the street lamp, the brightness of the night lamp is lower than that of the street lamp, and the night lamp only plays a role of auxiliary lighting so as to save electric energy; the embodiment further comprises the following steps:
step S710: and the sound sensor sends the sound signal detected in real time to the server.
Step S720: when the sound signal is greater than the first intensity of predetermineeing, the server passes through the second controller starts the night-light, just the start duration of night-light is the third and predetermines duration.
Specifically, the first preset intensity is preferably 60 db; the night light is activated when the sound signal is greater than 60 db and the duration of activation is a third predetermined duration, preferably 30 seconds.
Step S730: during the night-light starts, the server judges whether the sound sensor detects the sound signal with the intensity greater than the second preset intensity, wherein the second preset intensity is greater than the first preset intensity.
Specifically, during the night light activation period, the server determines whether the sound sensor detects a sound signal with a second predetermined intensity (preferably 70 db), and if the sound signal is detected, the server proves that a person utters a sound again.
If yes, go to step S740: the server is started through the second controller, the street lamp is closed, and the starting time of the street lamp is the fourth preset time.
Specifically, the fourth preset time period is longer than the third preset time period, and is preferably 3 minutes; the purpose of this embodiment is to perform a pre-determination before starting the street lamp, that is, only when the night lamp is started, a stronger sound signal than the sound signal corresponding to starting the night lamp is obtained, the street lamp is really started, that is, a stronger sound needs to be emitted again within a third preset time period after the sound is emitted for the first time, and then the street lamp is started (corresponding to the sound emitted intentionally by a person); therefore, the false start of the street lamp (such as the sound of foreign matters blown by wind) caused by the sound caused by external accidental factors can be avoided to a greater extent, and the invalid waste of electric energy is further reduced.
In an eighth embodiment of the intelligent park information acquisition method based on artificial intelligence, based on the seventh embodiment, the system further comprises a first light sensor arranged in the park; the first light sensor is in communication connection with the server; the embodiment further comprises the following steps:
step S810: when the current time is the daytime, the server controls the night lamp and the street lamp to be both closed through the second controller.
Specifically, during the daytime, the night light and the street lamp cannot be turned on.
Step S820: when the current moment is night, the first light sensor sends the illuminance detected in real time to the server.
Specifically, only at night, the server obtains the illuminance detected by the first light sensor.
Step S830: when the illuminance is greater than a preset illuminance, the server marks the detection time point of the illuminance as an initial time, wherein the preset illuminance corresponds to the average illuminance when lightning appears in a local area at night.
Specifically, when the illuminance is greater than the preset illuminance, which is preferably 100000lx, it indicates that lightning occurs near the garden and then there is a high possibility of a concomitant thunder.
Step S840: the server judges whether the sound signal detected by the sound sensor is greater than a third preset intensity within a fifth preset time from the starting moment, wherein the third preset intensity corresponds to the average sound intensity of the thunderstorm weather occurring at night in the local area, and the fifth preset time corresponds to the average interval time between the lightning and the accompanying thunder and is 3 seconds.
Specifically, the fifth preset time period is preferably 8 seconds; the third predetermined intensity here is preferably 120 db.
If the sound sensor detects the sound signal with the intensity greater than the third preset intensity within the fifth preset time, it can be determined that the lightning strike weather occurs.
If yes, go to step S850: the server controls the night lamp to be turned off through the second controller.
Specifically, if lightning strike weather occurs, the street lamp needs to be prevented from being triggered by lightning strike sound to be started, so that the night lamp is directly controlled to be turned off by the second controller, and the turning-off time is a sixth preset time, preferably 30 minutes; because the night lamp does not work, the street lamp certainly can not work, so can restrict the street lamp and not started in 30 minutes in the future to avoid the street lamp to be triggered by the sound of thunderbolt and start, in order to reach the purpose of practicing thrift the electric energy.
In a ninth embodiment of the intelligent park information acquisition method based on artificial intelligence, based on the first embodiment, the system further comprises an indoor lamp, a second light sensor and a third controller; the third controller is used for controlling the on-off of the indoor lamp; the indoor lamps and the second light sensors are arranged in the same room, and the number of the indoor lamps in the same room is multiple; the third controller and the second light sensor are both in communication connection with the server; the embodiment further comprises the following steps:
step S910: when all the indoor lamps in the room are turned off, the second light sensor detects the illuminance in the room in real time, marks the illuminance in the room at a preset moment before the indoor lamps are started as a first illuminance, and sends the first illuminance to the server.
Specifically, the preset time before starting is 1 second before starting; the first illuminance here is the illuminance in the room 1 second before the indoor lamp is turned on in the room.
Step S920: and after the indoor lamp in the room is started, the second light sensor detects the illuminance in the room in real time, marks the illuminance as a second illuminance, and sends the second illuminance to the server.
Specifically, the second illuminance is illuminance after all the indoor lamps are started.
Step S930: the server generates a required number based on a difference between the second illuminance and the first illuminance, and the number of the indoor lamps:
wherein X is the required number and is a positive integer; e1The first illuminance is the first illuminance; e2The second illuminance is the first illuminance; esThe standard illuminance is expressed as the indoor illuminance during normal work and life, and a normal number is preferably 500 lx; c1The number of the indoor lamps is, for example, 10.
Specifically, the above formula means: the most appropriate number of the turned-on lamps is determined according to the illuminance before and after the indoor lamps are started, so that the electric energy is saved; when the first illuminance is greater than the standard illuminance, the indoor light is sufficient, and the lamp does not need to be turned on, directly setting X to be 0; when the first illuminance is less than the standard illuminance, it indicates that the indoor illumination is insufficient, and the value of X needs to be set according to the first illuminance, the second illuminance and the standard illuminance.
Specifically, (E)s-E1) Expressing how much more light is needed to reach the standard light (E)2-E1) The number of the indoor lamps which need to be turned on to reach the standard illumination intensity in the room is the minimum number of the indoor lamps, namely the required number.
Step S940: the server controls the maximum number of the indoor lamps in the room to be started to be the required number through the third controller.
Specifically, the maximum number that can start with indoor lamp in the room sets up to aforementioned demand quantity, can prescribe a limit to the quantity of the indoor lamp that can open promptly under the prerequisite that satisfies indoor lighting to practice thrift the electric energy.
The invention also provides an artificial intelligence based intelligent park information acquisition system, which is applied to the artificial intelligence based intelligent park information acquisition method; the system comprises a first controller, a server and a positioning and tracking unit; each room in the garden is provided with an air conditioner and the first controller; the first controller is used for controlling the air conditioner; the air conditioner is provided with an air outlet baffle; the positioning and tracking unit and the first controller are both in communication connection with the server.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, wherein the software product is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk), and includes instructions for enabling a terminal (such as a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention.
While the present invention has been described with reference to the embodiments shown in the drawings, the present invention is not limited to the embodiments, which are illustrative and not restrictive, and it will be apparent to those skilled in the art that various changes and modifications can be made therein without departing from the spirit and scope of the invention as defined in the appended claims.
Claims (8)
1. A smart park information acquisition method based on artificial intelligence is characterized in that the method is applied to a smart park information acquisition system of artificial intelligence; the system comprises a first controller, a server and a positioning and tracking unit; each room in the garden is provided with an air conditioner and the first controller; the first controller is used for controlling the air conditioner; the air conditioner is provided with an air outlet baffle; the positioning and tracking unit and the first controller are both in communication connection with the server; the method comprises the following steps:
when the first controller is manually controlled to start an air conditioner, the first controller sends a self-starting signal to the server;
the server acquires a working mode, a starting temperature value and a starting air volume when the first controller is manually controlled to start the air conditioner based on the self-starting signal;
the server generates adjustment information according to the working mode, wherein when the working mode is heating, the adjustment information is used for reducing the starting temperature value and reducing the starting air volume; when the working mode is refrigeration, the adjustment information is that the server increases the starting temperature value and decreases the starting air volume;
the server controls the air conditioner to operate according to the adjustment information through the first controller;
the server is used for acquiring the head position of the user acquired by the positioning and tracking unit and controlling the action of an air outlet baffle of the air conditioner through the first controller according to the head position of the user so as to adjust the air outlet direction of the air conditioner, wherein the positioning and tracking unit is an infrared thermal imager arranged on the air conditioner body, and the server controls the air outlet baffle of the air conditioner to perform corresponding action through the first controller according to the head position of the user so as to adjust the air outlet direction of the air conditioner, so that the air outlet direction of the air conditioner faces to a height interval where the head of the user is located;
the system also comprises a camera in communication connection with the server; the cameras are arranged in each room in the garden; the self-starting signal comprises a starting moment; the server generates adjustment information according to the working mode, and the method comprises the following steps:
the server controls the camera to shoot scenes in the room based on the self-starting signal, and obtains videos in the room generated by shooting;
the server carries out image recognition on the video in the room so as to judge whether a person exists in a room corresponding to the video in the room within a first preset time from the starting time;
if yes, executing the server to generate adjustment information according to the working mode, and then executing the steps;
if not, the server closes the air conditioner through the first controller;
the system also includes a first temperature sensor communicatively coupled to the server; the server performs image recognition on the video in the room to judge whether a person exists in a room corresponding to the video in the room within a first preset time period from the starting time, and the method further includes the following steps:
the server acquires the current outdoor temperature value of the park through the first temperature sensor;
the server acquires a standard temperature interval and an indoor area value of a room where an air conditioner is located;
the server generates the first preset time based on the current outdoor temperature value, the standard temperature interval and the indoor area value:
T1=Tb,(W2≤Ws≤W1)
wherein, T1The first preset time is the unit of minutes; t isbIs the standard waiting time length, and the unit is minute; wsThe current outdoor temperature value is obtained; w1The upper limit value of the standard temperature interval is set; w2The lower limit value of the standard temperature interval is set; s1Is the indoor area value; a is a temperature proportion correction value and is a constant greater than 0; and B is an area ratio correction value and is a constant larger than 0.
2. The intelligent park information acquisition method based on artificial intelligence of claim 1 wherein the server is configured to obtain the head position of the user acquired by the positioning and tracking unit, and control the air outlet baffle of the air conditioner to move according to the head position of the user via the first controller, so as to adjust the air outlet direction of the air conditioner, and the method comprises:
the server carries out image recognition on the video in the room so as to judge whether the old people or children exist in the room corresponding to the video in the room;
when the old people or children exist and the working mode is heating, the server controls the action of an air outlet baffle of the air conditioner through the first controller so that the air outlet direction of the air conditioner faces to the bottom space of the room;
when the old people or children exist and the working mode is refrigeration, the server controls the air outlet baffle of the air conditioner to act through the first controller, so that the air outlet direction of the air conditioner faces to the top space of the room.
3. The intelligent campus information collection system of claim 1 wherein said system further comprises a second temperature sensor communicatively connected to said server; the second temperature sensor is arranged in the room and used for detecting the current indoor temperature value in the room in real time; the server generates adjustment information according to the working mode, and the adjustment information comprises the following steps:
the server carries out image analysis on the video in the room to obtain the number of people existing in the room after the first preset time from the starting time;
when the working mode is heating, generating a first temperature change value based on the number of people, the current indoor temperature value and the starting temperature value:
wherein, W1,bIs the first temperature change value; wqIs the start temperature value; wsThe current indoor temperature value is obtained; c is the number of people; cbA human number reference value, which is a constant greater than 0; d is a first correction coefficient and is a constant larger than 0;
the server reduces the starting temperature value to be the first temperature change value, and reduces the starting air volume to generate the adjustment information;
when the working mode is refrigeration, generating a second temperature change value based on the number of people, the current indoor temperature value and the starting temperature value:
wherein, W2,bIs the second temperature change value; wqIs the start temperature value; wsThe current indoor temperature value is obtained; c is the number of people; cbA human number reference value, which is a constant greater than 0; e is a second correction coefficient and is a constant larger than 0;
and the server increases the starting temperature value to be the second temperature change value and decreases the starting air volume to generate the adjustment information.
4. The intelligent park information acquisition method based on artificial intelligence of claim 1 wherein the system further comprises intelligent electric meters electrically connected to each air conditioner in the park; the intelligent electric meter is in communication connection with the server; the method further comprises the following steps:
the intelligent electric meter sends power consumption values corresponding to all air conditioners in a past preset time period to the server;
the server carries out image analysis on the videos in the rooms corresponding to the cameras in the past preset time period so as to obtain the number of people who appear in the corresponding rooms and have a single stay time length exceeding a second preset time length when the air conditioner is started in the past preset time period;
the server establishes a corresponding relation between the power consumption value and the number of people;
and the server divides the power consumption value by the corresponding times of the people to obtain the per-person power consumption value corresponding to each air conditioner.
5. The intelligent park information collection method based on artificial intelligence of claim 1 wherein the system further comprises a sound sensor, a street light, a second controller and a night light; the street lamps are arranged in the garden; the sound sensor, the night lamp and the second controller are all arranged on the street lamp; the second controller is used for controlling the on-off of the night lamp and the street lamp; the sound sensor and the second controller are both in communication connection with the server; the power of the night lamp is lower than that of the street lamp; the method further comprises the following steps:
the sound sensor sends a sound signal detected in real time to the server;
when the sound signal is greater than the first preset intensity, the server starts the night lamp through the second controller, and the starting duration of the night lamp is a third preset duration;
during the night lamp starting period, the server judges whether the sound sensor detects a sound signal with intensity greater than a second preset intensity, wherein the second preset intensity is greater than the first preset intensity;
if yes, the server is started through the second controller, the street lamp is closed, and the starting time of the street lamp is the fourth preset time.
6. The intelligent campus information collection system of claim 5 wherein the system further comprises a first light sensor located on the campus; the first light sensor is in communication connection with the server; the method further comprises the following steps:
when the current time is daytime, the server controls the night lamp and the street lamp to be turned off through the second controller;
when the current moment is night, the first light sensor sends the illuminance detected in real time to the server;
when the illuminance is greater than a preset illuminance, the server marks a detection time point of the illuminance as an initial time, wherein the preset illuminance corresponds to an average illuminance of a local area when lightning appears at night;
the server judges whether the sound signal detected by the sound sensor is greater than a third preset intensity within a fifth preset time from the starting moment, wherein the third preset intensity corresponds to the average sound intensity of the thunderstorm weather in the local area at night, and the fifth preset time corresponds to the average interval time between lightning and accompanying thunder and is plus 3 seconds;
if yes, the server controls the night lamp to be turned off through the second controller.
7. The intelligent campus information collection system of claim 1 wherein said system further comprises an indoor light, a second light sensor and a third controller; the third controller is used for controlling the on-off of the indoor lamp; the indoor lamps and the second light sensors are arranged in the same room, and the number of the indoor lamps in the same room is multiple; the third controller and the second light sensor are both in communication connection with the server; the method further comprises the following steps:
when all the indoor lamps in the room are turned off, the second light sensor detects the illuminance in the room in real time, marks the illuminance in the room at a preset moment before the indoor lamps are started as a first illuminance, and sends the first illuminance to the server;
when the indoor lamp in the room is started, the second light sensor detects the illuminance in the room in real time, marks the illuminance as a second illuminance, and sends the second illuminance to the server;
the server generates a required number based on a difference between the second illuminance and the first illuminance, and the number of the indoor lamps:
wherein X is the required number and is a positive integer; e1The first illuminance is the first illuminance; e2The second illuminance is the first illuminance; esThe standard illuminance is expressed as the indoor illuminance which can work normally and live, and a normal number is taken; c1The number of the indoor lamps;
the server controls the maximum number of the indoor lamps in the room to be started to be the required number through the third controller.
8. An artificial intelligence based intelligent park information acquisition system, which is applied to the artificial intelligence based intelligent park information acquisition method according to any one of claims 1-7; the system comprises a first controller, a server and a positioning and tracking unit; each room in the garden is provided with an air conditioner and the first controller; the first controller is used for controlling the air conditioner; the air conditioner is provided with an air outlet baffle; the positioning and tracking unit and the first controller are both in communication connection with the server.
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