CN113896063A - Elevator intelligent dispatching system based on AI intelligence - Google Patents
Elevator intelligent dispatching system based on AI intelligence Download PDFInfo
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- CN113896063A CN113896063A CN202111237950.2A CN202111237950A CN113896063A CN 113896063 A CN113896063 A CN 113896063A CN 202111237950 A CN202111237950 A CN 202111237950A CN 113896063 A CN113896063 A CN 113896063A
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B1/00—Control systems of elevators in general
- B66B1/24—Control systems with regulation, i.e. with retroactive action, for influencing travelling speed, acceleration, or deceleration
- B66B1/2408—Control systems with regulation, i.e. with retroactive action, for influencing travelling speed, acceleration, or deceleration where the allocation of a call to an elevator car is of importance, i.e. by means of a supervisory or group controller
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B1/00—Control systems of elevators in general
- B66B1/34—Details, e.g. call counting devices, data transmission from car to control system, devices giving information to the control system
- B66B1/3415—Control system configuration and the data transmission or communication within the control system
- B66B1/3423—Control system configuration, i.e. lay-out
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B1/00—Control systems of elevators in general
- B66B1/34—Details, e.g. call counting devices, data transmission from car to control system, devices giving information to the control system
- B66B1/3415—Control system configuration and the data transmission or communication within the control system
- B66B1/3446—Data transmission or communication within the control system
- B66B1/3461—Data transmission or communication within the control system between the elevator control system and remote or mobile stations
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B1/00—Control systems of elevators in general
- B66B1/34—Details, e.g. call counting devices, data transmission from car to control system, devices giving information to the control system
- B66B1/3476—Load weighing or car passenger counting devices
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B1/00—Control systems of elevators in general
- B66B1/34—Details, e.g. call counting devices, data transmission from car to control system, devices giving information to the control system
- B66B1/46—Adaptations of switches or switchgear
- B66B1/468—Call registering systems
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B11/00—Main component parts of lifts in, or associated with, buildings or other structures
- B66B11/02—Cages, i.e. cars
- B66B11/0226—Constructional features, e.g. walls assembly, decorative panels, comfort equipment, thermal or sound insulation
- B66B11/024—Ventilation systems
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B5/00—Applications of checking, fault-correcting, or safety devices in elevators
- B66B5/0006—Monitoring devices or performance analysers
- B66B5/0012—Devices monitoring the users of the elevator system
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B2201/00—Aspects of control systems of elevators
- B66B2201/20—Details of the evaluation method for the allocation of a call to an elevator car
- B66B2201/211—Waiting time, i.e. response time
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B2201/00—Aspects of control systems of elevators
- B66B2201/20—Details of the evaluation method for the allocation of a call to an elevator car
- B66B2201/243—Distribution of elevator cars, e.g. based on expected future need
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B2201/00—Aspects of control systems of elevators
- B66B2201/40—Details of the change of control mode
- B66B2201/402—Details of the change of control mode by historical, statistical or predicted traffic data, e.g. by learning
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B2201/00—Aspects of control systems of elevators
- B66B2201/40—Details of the change of control mode
- B66B2201/403—Details of the change of control mode by real-time traffic data
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B2201/00—Aspects of control systems of elevators
- B66B2201/40—Details of the change of control mode
- B66B2201/46—Switches or switchgear
- B66B2201/4607—Call registering systems
- B66B2201/4623—Wherein the destination is registered after boarding
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B2201/00—Aspects of control systems of elevators
- B66B2201/40—Details of the change of control mode
- B66B2201/46—Switches or switchgear
- B66B2201/4607—Call registering systems
- B66B2201/4638—Wherein the call is registered without making physical contact with the elevator system
- B66B2201/4646—Wherein the call is registered without making physical contact with the elevator system using voice recognition
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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
- Y02B50/00—Energy efficient technologies in elevators, escalators and moving walkways, e.g. energy saving or recuperation technologies
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- Engineering & Computer Science (AREA)
- Automation & Control Theory (AREA)
- Computer Networks & Wireless Communication (AREA)
- Mechanical Engineering (AREA)
- Civil Engineering (AREA)
- Structural Engineering (AREA)
- Indicating And Signalling Devices For Elevators (AREA)
- Elevator Control (AREA)
Abstract
The invention belongs to the technical field of elevators, and particularly relates to an AI-intelligence-based elevator intelligent scheduling system which comprises an AI intelligent scheduling module, wherein the AI intelligent scheduling module comprises a data analysis processing module and an elevator controller. This elevator intelligent dispatching system based on AI intelligence, through setting up the peak period mode, mark the peak time stamp and upload to the high in the clouds server by AI intelligent dispatching module according to predetermined algorithm, carry out data analysis by the high in the clouds server to the peak time stamp, reach preset condition and establish the initial time stamp, and send this initial time stamp for AI intelligent dispatching module, the time information and the floor information that are recorded by AI intelligent dispatching module according to initial time stamp arrive the floor that the appointed number of people is the most in advance at the appointed time, wait for to take, effectual solved current elevator can not intelligent recognition peak period, can not reach the technical problem of the floor that the number of people is the most in advance when the peak period.
Description
Technical Field
The invention relates to the technical field of elevators, in particular to an intelligent elevator dispatching system based on AI intelligence.
Background
In the present day that the economy is continuously developed and the science and technology are changed day by day, the height of the building is grown up at the same speed as the economy development. Elevators, as the primary means of transport within buildings, like other vehicles, have become an integral part of our everyday lives. In view of the current use situation of the conventional elevator, the safety and stability (hardware technology of the elevator) of the conventional elevator are developed, but the convenience and the more passenger-friendly performance of the conventional elevator are still to be improved. Specifically, problems with current conventional elevators include;
1. the existing elevator can not intelligently identify the peak time and can not reach the floor with the largest number of people in advance in the peak time;
2. the existing elevator can not intelligently control the speed, and can not quickly reach a calling floor when no person calls a call in the car;
3. the existing elevator can not learn the elevator riding requirements of passengers, can not dispatch the elevator in advance, and judges the floors to which the passengers go.
Disclosure of Invention
Based on the technical problems that the existing elevator can not intelligently identify the peak time, can not intelligently control the speed and can not learn the elevator riding requirements of passengers, the invention provides an intelligent elevator dispatching system based on AI intelligence.
The invention provides an AI-intelligence-based elevator intelligent scheduling system, which comprises an AI intelligent scheduling module, wherein the AI intelligent scheduling module comprises a data analysis processing module and an elevator controller, and the AI intelligent scheduling module sends an instruction to the elevator controller to control the operation of an elevator according to a preset algorithm;
the AI intelligent scheduling module comprises a peak period mode, an APP reservation mode, a pre-judgment scheduling mode, an intelligent speed control mode, an intelligent ventilation mode and a voice interaction mode;
the peak time mode intelligently identifies the peak time, and the floor with the most people is reached in the designated peak time of taking the elevator;
the APP reservation mode enables the elevator to reach the appointed floor at appointed time by submitting a reservation taking form through a user;
the pre-judging dispatching mode can learn the elevator taking requirements of passengers so as to pre-dispatch the elevator to reach the appointed floor when the passengers appear;
the intelligent speed control mode is used for intelligently controlling the speed according to passengers in the elevator, and the elevator can quickly reach a calling floor when no one exists;
the intelligent ventilation mode is intelligently switched on or off according to the number of passengers in the elevator;
the voice interaction mode can identify voice elevator taking information of passengers and reach appointed floors according to the voice elevator taking information.
Preferably, the peak period mode includes a cloud server and a pressure sensor, the pressure sensor transmits the collected pressure data to the data analysis processing module, the data analysis processing module transmits the analyzed pressure data to the AI intelligent scheduling module, and the AI intelligent scheduling module marks a peak time stamp according to a preset algorithm and uploads the peak time stamp to the cloud server.
Through above-mentioned technical scheme, by the weight in the pressure sensor detection car to give data analysis processing module with data transmission, if weight in the car exceeds two-thirds of elevator loading capacity, data analysis processing module just marks a peak time stamp, and the peak time stamp contains the time information and the floor information of taking, and uploads the peak time stamp to cloud server.
Preferably, the cloud server analyzes the peak time stamp, creates a start time stamp or deletes the start time stamp according to a preset algorithm, the cloud server sends the start time stamp to the AI intelligent scheduling module, and the AI intelligent scheduling module controls the elevator to operate according to the preset algorithm.
Through above-mentioned technical scheme, every peak time stamp of storing, data analysis is done to the high in the clouds server, if three peak time stamps appear in ten minutes, and more than two consecutive days, then convert the first peak time stamp of this time quantum into the initial time stamp, if do not record peak time stamp in half an hour after the two consecutive days initial time stamp, then corresponding initial time stamp is deleted automatically, the high in the clouds server sends the initial time stamp to AI intelligent dispatching module, give elevator controller by AI intelligent dispatching module delivery instruction, control elevator arrives appointed floor in the appointed time according to time information and the floor information of initial time stamp record in advance, wait for taking.
Preferably, the pre-judging scheduling mode includes a face recognition module, and the face recognition module collects face information and submits the face information to the data analysis processing module.
Through the technical scheme, the entrance of the gate of the first floor and the entrance face recognition module of the safety exit of each floor can collect face information in advance and make judgment in advance, and the face information is collected through the face recognition module and transmitted to the data analysis module.
Preferably, the data analysis processing module compares and analyzes the face data, transmits the analyzed face data to the AI intelligent scheduling module, and the AI intelligent scheduling module sends an instruction to the elevator controller to control the elevator to operate according to a preset algorithm.
Through the technical scheme, the data analysis processing module inquires a user riding information database in the cloud server, inquires user riding information through comparing and analyzing face data, automatically enters a voice interaction mode if the user riding information database is not found, automatically creates a user riding information database according to the riding floor information of passengers, generates a prediction riding model through the riding information, (the prediction riding model comprises X and Y values, X is a starting floor for frequent riding, and Y is a target floor for frequent riding), directly calls the prediction riding model of the user if the user is found in the database, transmits the prediction riding model to the AI intelligent scheduling module, the AI intelligent scheduling module arrives at the X floor according to the prediction riding model, controls a voice broadcasting module through the AI intelligent scheduling module after the passengers enter, and broadcasts 'the passengers are good', if the passenger goes to the X floor, the passenger answers are submitted to the voice recognition module for recognition, if the answer is positive, the elevator controller controls the front line Y floor of the elevator, and if the answer is negative, the elevator automatically enters a voice interaction control mode.
Preferably, the intelligent speed control module comprises the pressure sensor, the pressure sensor transmits the acquired pressure data to the data analysis processing module, the data analysis processing module transmits the analyzed pressure data to the AI intelligent dispatching module, and the AI intelligent dispatching module sends an instruction to the elevator controller according to a preset algorithm to control the running speed of the elevator.
Through the technical scheme, the pressure sensor acquires pressure data in the car, the pressure data is transmitted to the data analysis module, the data analysis module analyzes and processes the pressure data in the car, if the weight in the car is equal to zero according to a preset value, the car is judged to be unmanned, the AI intelligent dispatching module sends an instruction to the elevator controller, the elevator controller controls the driving unit of the car to quickly reach a specified floor at the speed of 5M/S, if the weight in the car is less than one third according to the preset value, the car is judged to be few, the AI intelligent dispatching module sends an instruction to the elevator controller, the elevator controller controls the driving unit of the car to reach the specified floor at the speed of 2M/S, if the weight in the car is more than one third according to the preset value, the car is judged to be many, and the AI intelligent dispatching module sends an instruction to the elevator controller, the drive unit of the car is controlled by the elevator controller to reach the designated floor at a speed of 1.25M/S.
Preferably, APP exhales the mode in advance and includes cell-phone end APP, cell-phone end APP gather the face data and submit the reservation and take the form to the high in the clouds server, high in the clouds server analysis face data and processing reservation take the form, the high in the clouds server will be analyzed the face data after with the reservation after processing take the form send for AI intelligent scheduling module, by AI intelligent scheduling module sends the instruction for elevator controller control elevator operation according to preset algorithm.
Through the technical scheme, when a user uses the intelligent elevator, the user needs to acquire face data through a mobile phone APP, the face data are uploaded to a cloud server, then a reservation user database is established by the cloud server, the user fills a reservation taking form according to prompts when making a reservation, the reservation taking form comprises a taking floor, a going floor and a reservation taking time, wherein the filled floor information exceeds the floor range of the taking floor or the reservation taking time exceeds the current time for five minutes, the reservation taking form is an invalid reservation taking form, the reservation taking form can be effectively submitted to the cloud server, the cloud server sends the reservation taking form to an AI intelligent scheduling module, the AI intelligent scheduling module sends an instruction to an elevator controller to control the elevator to go at a designated time, and after the elevator reaches the floor of the designated floor at the designated time, the face recognition module detects that the form is submitted to a passenger, then the passenger gets into automatic going to appointed floor after the elevator (the passenger can select manual selection floor or voice interaction control mode control elevator to change and go to the floor in the in-process of going to appointed floor), and after the elevator arrived appointed floor at appointed time, face identification module did not detect the form and submit the passenger, then the elevator withdraws from APP and exhales the mode in advance, no longer goes to appointed floor.
Preferably, the intelligent ventilation mode includes a fresh air ventilator and the pressure sensor, the pressure sensor transmits the collected pressure data to the data analysis processing module, the data analysis processing module transmits the analyzed pressure data to the AI intelligent scheduling module, and the AI intelligent scheduling module sends an instruction to the elevator controller according to a preset algorithm to control the fresh air ventilator to operate.
Through above-mentioned technical scheme, pressure sensor gathers the pressure in the car to give data analysis processing module with pressure data transmission, data analysis processing module analysis pressure data, if weight in pressure sensor detection car is less than the one-third of elevator maximum loading capacity, AI intelligent scheduling module just sends the instruction and closes fresh air ventilator for elevator controller, if weight in pressure sensor detection car is greater than the one-third of elevator maximum loading capacity, AI intelligent scheduling module just sends the instruction and opens fresh air ventilator for elevator controller.
Preferably, the voice interaction mode includes a voice broadcasting module, a voice recognition module and the pressure sensor, the pressure sensor transmits the collected pressure data to the data analysis processing module, the data analysis processing module transmits the analyzed pressure data to the AI intelligent scheduling module, and the AI intelligent scheduling module controls and starts the voice broadcasting module to broadcast the preset content according to a preset algorithm.
Through the technical scheme, the pressure sensor collects pressure data in real time after a passenger enters the lift car, the pressure data is transmitted to the data analysis processing module, if the data analysis processing module detects that the pressure data changes, an interactive signal is sent to the AI intelligent scheduling module, the AI intelligent scheduling module starts the voice broadcasting module, and the 'respected passenger is good and you want to go to which floor' is broadcasted according to the preset content.
Preferably, the voice recognition module intelligently recognizes voice information of passengers, converts the voice information into digital information and transmits the digital information to the AI intelligent dispatching module, and the AI intelligent dispatching module sends an instruction to the elevator controller to control the elevator to operate according to a preset algorithm.
Through the technical scheme, the voice recognition module recognizes the answer of the passenger, converts the voice information into digital information and transmits the digital information to the data analysis processing module for analysis and processing, and the AI intelligent dispatching module sends an instruction to the elevator controller to control the elevator to move to the floor answered by the passenger.
The beneficial effects of the invention are as follows:
1. through setting up the peak season mode, mark the peak time stamp and upload to the high in the clouds server by AI intelligent scheduling module according to predetermined algorithm, carry out data analysis to the peak time stamp by the high in the clouds server, reach preset condition and establish the initial time stamp, and send this initial time stamp for AI intelligent scheduling module, reach the most floor of appointed number of people in advance at the appointed time according to the time information and the floor information of initial time stamp record by AI intelligent scheduling module, wait to take, the effectual current elevator of having solved can not intelligent recognition peak season, can not reach the technical problem of the most floor of number of people in advance when the peak season.
2. Through setting up intelligent speed control module, gather the weight in the car by pressure sensor, if the weight in the car is zero, then the drive unit of elevator controller control car reaches appointed floor with 5M/S ' S speed, if the weight in the car is less than one-third, then the drive unit of elevator controller control car reaches appointed floor with 2M/S ' S speed, if the weight in the car is greater than two-thirds, then the drive unit of elevator controller control car reaches appointed floor with 1.25M/S ' S speed, make nobody arrive the demand floor fast, the slow speed that goes up and down when people are many protects elevator drive unit, the effectual current elevator that has solved can not intelligent control speed, when nobody calls in the car, can not reach and call the floor fast.
3. By setting a pre-judging dispatching mode, a face recognition module collects face data of passengers, a data analysis processing module inquires a user riding information database in a cloud server, the user riding information is inquired by comparing and analyzing the face data, if the user riding information is not found in the database, a voice interaction mode is automatically entered, if the user is found in the database, a predicted riding model of the user is directly called (the predicted riding model comprises X and Y values, X is a starting floor for frequently riding, and Y is a target floor for frequently riding), then the predicted riding model is pre-reached to X by an AI intelligent dispatching module according to the predicted riding model, the passengers automatically reach to Y after entering, the waiting time is saved, the trouble that the passengers manually select floors is avoided, the trouble that the existing elevator cannot learn the riding requirements of the passengers and cannot dispatch the elevator in advance is effectively solved, and determines the floor to which the passenger will go.
Drawings
Fig. 1 is a schematic diagram of an AI intelligence-based elevator intelligent dispatching system according to the present invention;
fig. 2 is an elevator control schematic diagram of an intelligent elevator dispatching system based on AI intelligence provided by the invention;
fig. 3 is a control schematic diagram of an embodiment of an intelligent elevator dispatching system based on AI intelligence according to the present invention.
Fig. 4 is a control schematic diagram of an embodiment of an intelligent elevator dispatching system based on AI intelligence according to the present invention.
Fig. 5 is a control schematic diagram of an embodiment two of the intelligent elevator dispatching system based on AI intelligence provided by the invention.
Fig. 6 is a schematic diagram of three control operations of an embodiment of an intelligent elevator dispatching system based on AI intelligence according to the present invention.
Fig. 7 is a four-control schematic diagram of an embodiment of an intelligent elevator dispatching system based on AI intelligence according to the present invention.
Fig. 8 is a five-control schematic diagram of an embodiment of an intelligent elevator dispatching system based on AI intelligence according to the present invention.
Fig. 9 is a six-control schematic diagram of an embodiment of an intelligent elevator dispatching system based on AI intelligence according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments.
Example one
Referring to fig. 1-4, an intelligent elevator dispatching system based on AI intelligence comprises an AI intelligent dispatching module, wherein the AI intelligent dispatching module comprises a data analysis processing module and an elevator controller, and the AI intelligent dispatching module sends an instruction to the elevator controller to control the elevator to operate according to a preset algorithm;
the AI intelligent scheduling module comprises a peak period mode, an APP reservation mode, a pre-judgment scheduling mode, an intelligent speed control mode, an intelligent ventilation mode and a voice interaction mode;
the peak time mode intelligently identifies the peak time, and the floor with the most people is reached in the designated peak time of taking the elevator.
The rush hour mode includes high in the clouds server and pressure sensor, pressure sensor sends the pressure data who gathers to data analysis processing module, data analysis processing module transmits the pressure data after the analysis for AI intelligent scheduling module, AI intelligent scheduling module marks a high peak time stamp and uploads to high in the clouds server according to preset algorithm, high in the clouds server analysis peak time stamp and according to preset algorithm, establish the initial time stamp or delete the initial time stamp, send the initial time stamp for AI intelligent scheduling module by high in the clouds server, AI intelligent scheduling module is according to preset algorithm control elevator operation.
The weight in the car is detected by the pressure sensor, data are sent to the data analysis processing module, if the weight in the car exceeds two thirds of the load capacity of the elevator, the data analysis processing module marks a peak time stamp which comprises riding time information and floor information and uploads the peak time stamp to the cloud server, when the peak time stamp is stored, the cloud server performs data analysis once, if three peak time stamps appear in ten minutes and are more than two consecutive days, the first peak time stamp in the time period is converted into a starting time stamp, if the peak time stamp is not recorded in half an hour after the starting time stamps in two consecutive days, the corresponding starting time stamp is automatically deleted, the cloud server sends the starting time stamp to the AI intelligent scheduling module, and the AI intelligent scheduling module sends an instruction to the elevator controller, the elevator is controlled to arrive at a designated floor in advance at a designated time according to the time information and the floor information recorded by the starting timestamp, the elevator waits to take, in a peak period mode, if the weight in the car reaches two thirds of the maximum load capacity of the elevator, the elevator normally runs, if the weight in the car does not reach two thirds of the maximum load capacity of the elevator, the AI intelligent dispatching module sends an instruction to the elevator controller to control the elevator door not to be closed any more, the elevator also stops ascending and descending, and in the peak period mode, the door closing button is continuously and manually pressed for three times, so that the elevator is forced to continue running.
Through setting up the peak season mode, mark the peak time stamp and upload to the high in the clouds server by AI intelligent scheduling module according to predetermined algorithm, carry out data analysis to the peak time stamp by the high in the clouds server, reach preset condition and establish the initial time stamp, and send this initial time stamp for AI intelligent scheduling module, reach the most floor of appointed number of people in advance at the appointed time according to the time information and the floor information of initial time stamp record by AI intelligent scheduling module, wait to take, the effectual current elevator of having solved can not intelligent recognition peak season, can not reach the technical problem of the most floor of number of people in advance when the peak season.
Example two
Referring to fig. 1-2 and 5, an AI-intelligence-based elevator intelligent scheduling system comprises an AI intelligent scheduling module, wherein the AI intelligent scheduling module comprises a data analysis processing module and an elevator controller, and sends an instruction to the elevator controller to control the elevator to operate according to a preset algorithm;
the AI intelligent scheduling module comprises a peak period mode, an APP reservation mode, a pre-judgment scheduling mode, an intelligent speed control mode, an intelligent ventilation mode and a voice interaction mode;
the pre-judging dispatching mode can learn the elevator taking requirements of passengers, and the elevators are dispatched to reach the appointed floors in advance when the passengers appear;
the pre-judging scheduling mode comprises a face recognition module, the face recognition module collects face information and submits the face information to a data analysis processing module, the data analysis processing module contrasts and analyzes face data, the analyzed face data are transmitted to an AI intelligent scheduling module, and the AI intelligent scheduling module sends an instruction to an elevator controller according to a preset algorithm to control the operation of the elevator.
The entrance face recognition module of the entrance door of the first floor and the entrance face recognition module of the safety exit of each floor can collect face information in advance and make judgment in advance, the face information is collected by the face recognition module and transmitted to the data analysis module, the user riding information database in the cloud server is inquired by the data analysis processing module, the user riding information is inquired by comparing and analyzing the face data, if the user riding information is not found in the database, the voice interaction mode is automatically entered, the user riding information database is automatically created according to the riding floor information of passengers, and a prediction riding model is generated by the riding information, (the prediction riding model comprises X and Y values, X is the starting floor of frequent riding, Y is the target floor of frequent riding), if the user is found in the database, the prediction riding model of the user is directly called, and is transmitted to the AI intelligent scheduling module, the AI intelligent dispatching module arrives at the X building according to the forecast elevator taking model, after a passenger enters, the AI intelligent dispatching module controls the voice broadcasting module to broadcast that the passenger is good and whether the passenger goes to the X building, the passenger answers the voice broadcasting module to be identified, if the passenger answers the voice broadcasting module, the passenger answers the voice broadcasting module to be submitted to the voice recognition module to be identified, if the passenger answers the voice broadcasting module to be identified to be affirmative, the elevator controller controls the Y building on the front line of the elevator, and if the passenger answers the voice broadcasting module to be identified to be negative, the elevator controller automatically enters into a voice interaction control mode.
EXAMPLE III
Referring to fig. 1-2 and fig. 6, an AI-intelligence-based elevator intelligent scheduling system comprises an AI intelligent scheduling module, wherein the AI intelligent scheduling module comprises a data analysis processing module and an elevator controller, and the AI intelligent scheduling module sends an instruction to the elevator controller to control the elevator to operate according to a preset algorithm;
the AI intelligent scheduling module comprises a peak period mode, an APP reservation mode, a pre-judgment scheduling mode, an intelligent speed control mode, an intelligent ventilation mode and a voice interaction mode;
the intelligent speed control mode intelligently controls the speed according to passengers in the elevator, and the elevator can quickly reach a calling floor when no one is available;
the intelligent speed control module comprises a pressure sensor, the pressure sensor transmits collected pressure data to the data analysis processing module, the data analysis processing module transmits the analyzed pressure data to the AI intelligent dispatching module, and the AI intelligent dispatching module sends an instruction to the elevator controller according to a preset algorithm to control the running speed of the elevator.
Pressure data in the car is collected by a pressure sensor and transmitted to a data analysis module, the pressure data in the car is analyzed and processed by the data analysis module, if the weight in the car is equal to zero according to a preset value, the car is judged to be unmanned, an instruction is sent to an elevator controller by an AI intelligent dispatching module, a driving unit of the car is controlled by the elevator controller to quickly reach a specified floor at the speed of 5M/S, if the weight in the car is less than one third according to the preset value, the car is judged to be few, the instruction is sent to the elevator controller by the AI intelligent dispatching module, the driving unit of the car is controlled by the elevator controller to reach the specified floor at the speed of 2M/S, if the weight in the car is more than one third according to the preset value, the car is judged to be too many, and the instruction is sent to the elevator controller by the AI intelligent dispatching module, the drive unit of the car is controlled by the elevator controller to reach the designated floor at a speed of 1.25M/S.
Through setting up intelligent speed control module, gather the weight in the car by pressure sensor, if the weight in the car is zero, then the drive unit of elevator controller control car reaches appointed floor with 5M/S ' S speed, if the weight in the car is less than one-third, then the drive unit of elevator controller control car reaches appointed floor with 2M/S ' S speed, if the weight in the car is greater than two-thirds, then the drive unit of elevator controller control car reaches appointed floor with 1.25M/S ' S speed, make nobody arrive the demand floor fast, the slow speed that goes up and down when people are many protects elevator drive unit, the effectual current elevator that has solved can not intelligent control speed, when nobody calls in the car, can not reach and call the floor fast.
Example four
Referring to fig. 1-2 and 7, an AI-intelligence-based elevator intelligent scheduling system comprises an AI intelligent scheduling module, wherein the AI intelligent scheduling module comprises a data analysis processing module and an elevator controller, and sends an instruction to the elevator controller to control the elevator to operate according to a preset algorithm;
the AI intelligent scheduling module comprises a peak period mode, an APP reservation mode, a pre-judgment scheduling mode, an intelligent speed control mode, an intelligent ventilation mode and a voice interaction mode;
the APP reservation mode submits a reservation taking form through a user, and an elevator can reach a designated floor at appointed time;
the APP pre-calling mode comprises a mobile phone side APP, the mobile phone side APP collects face data and submits appointment taking forms to a cloud server, the cloud server analyzes the face data and processes the appointment taking forms, the cloud server takes the analyzed face data and the processed appointment taking forms and sends the analyzed face data and the processed appointment taking forms to an AI intelligent scheduling module, and the AI intelligent scheduling module sends instructions to an elevator controller to control operation of an elevator according to a preset algorithm.
When a user uses the system for the first time, the user needs to acquire face data through a mobile phone terminal APP, the face data is uploaded to a cloud server, a reserved user database is created by the cloud server, the user fills a reserved taking form according to prompts when making a reservation, (the reserved taking form comprises a taking floor, a going floor and reserved taking time, an invalid reserved taking form is formed when the filled floor information exceeds the floor range of the taking floor or the reserved taking time exceeds the current time for five minutes), the reserved taking form is effective and can be submitted to the cloud server, the cloud server sends the reserved taking form to an AI intelligent scheduling module, the AI intelligent scheduling module sends an instruction to an elevator controller to control the elevator to go to the designated time, after the elevator reaches the designated floor at the designated time, the face recognition module detects that the form submits a passenger, and the passenger automatically goes to the designated floor after entering the elevator (the passenger can select manual operation during the process of the designated floor before the passenger can select the passenger Select floor or voice interaction control mode control elevator to change and go to the floor), after the elevator arrived appointed floor at appointed time, face identification module did not detect the form and submits the passenger, then the elevator withdraws from APP and exhales the mode in advance, no longer goes to appointed floor.
EXAMPLE five
Referring to fig. 1-2 and 8, an AI-intelligence-based elevator intelligent scheduling system comprises an AI intelligent scheduling module, wherein the AI intelligent scheduling module comprises a data analysis processing module and an elevator controller, and sends an instruction to the elevator controller to control the elevator to operate according to a preset algorithm;
the AI intelligent scheduling module comprises a peak period mode, an APP reservation mode, a pre-judgment scheduling mode, an intelligent speed control mode, an intelligent ventilation mode and a voice interaction mode;
the intelligent ventilation mode is intelligently opened or closed according to the number of passengers in the elevator;
the intelligent ventilation mode comprises a fresh air ventilator and a pressure sensor, the pressure sensor transmits collected pressure data to the data analysis processing module, the data analysis processing module transmits the analyzed pressure data to the AI intelligent scheduling module, and the AI intelligent scheduling module sends an instruction to the elevator controller according to a preset algorithm to control the operation of the fresh air ventilator.
Pressure data in the car is collected by the pressure sensor, the pressure data are transmitted to the data analysis processing module, the data analysis processing module analyzes the pressure data, if the pressure sensor detects that the weight in the car is smaller than one third of the maximum load capacity of the elevator, the AI intelligent scheduling module sends an instruction to the elevator controller to close the fresh air ventilator, and if the pressure sensor detects that the weight in the car is larger than one third of the maximum load capacity of the elevator, the AI intelligent scheduling module sends an instruction to the elevator controller to open the fresh air ventilator.
EXAMPLE six
Referring to fig. 1-2 and 9, an AI-intelligence-based elevator intelligent scheduling system comprises an AI intelligent scheduling module, wherein the AI intelligent scheduling module comprises a data analysis processing module and an elevator controller, and sends an instruction to the elevator controller to control the elevator to operate according to a preset algorithm;
the AI intelligent scheduling module comprises a peak period mode, an APP reservation mode, a pre-judgment scheduling mode, an intelligent speed control mode, an intelligent ventilation mode, a voice interaction mode and a voice interaction mode;
the voice interaction mode can identify voice elevator taking information of passengers and reach the appointed floor according to the voice elevator taking information;
the voice interaction mode comprises a voice broadcasting module, a voice recognition module and a pressure sensor, the pressure sensor transmits collected pressure data to a data analysis processing module, the data analysis processing module transmits the analyzed pressure data to an AI intelligent dispatching module, the AI intelligent dispatching module controls and starts the voice broadcasting module to broadcast preset contents according to a preset algorithm, the voice recognition module intelligently recognizes voice information of passengers, converts the voice information into digital information and transmits the digital information to the AI intelligent dispatching module, and the AI intelligent dispatching module sends an instruction to an elevator controller to control the operation of an elevator according to the preset algorithm.
When a passenger enters the lift car, the pressure sensor collects pressure data in real time and transmits the pressure data to the data analysis processing module, if the data analysis processing module detects that the pressure data changes, an interactive signal is sent to the AI intelligent scheduling module, the AI intelligent scheduling module starts the voice broadcasting module, the 'respectful passenger is good and wants to go to which floor' according to the preset content, the voice recognition module recognizes the answer of the passenger, converts the voice information into digital information and transmits the digital information to the data analysis processing module for analysis processing, and the AI intelligent scheduling module sends an instruction to the elevator controller to control the elevator to go to the floor answered by the passenger.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.
Claims (10)
1. The utility model provides an elevator intelligent dispatching system based on AI intelligence, includes AI intelligent dispatching module, its characterized in that: the AI intelligent scheduling module comprises a data analysis processing module and an elevator controller, and the AI intelligent scheduling module sends an instruction to the elevator controller to control the operation of the elevator according to a preset algorithm;
the AI intelligent scheduling module comprises a peak period mode, an APP reservation mode, a pre-judgment scheduling mode, an intelligent speed control mode, an intelligent ventilation mode and a voice interaction mode;
the peak time mode intelligently identifies the peak time, and the floor with the most people is reached in the designated peak time of taking the elevator;
the APP reservation mode submits a reservation taking form through a user, and an elevator can reach a designated floor at appointed time;
the pre-judging dispatching mode can learn the elevator taking requirements of passengers, and the elevators are dispatched to reach the appointed floors in advance when the passengers appear;
the intelligent speed control mode is used for intelligently controlling the speed according to passengers in the elevator, and the elevator can quickly reach a calling floor when no one exists;
the intelligent ventilation mode is intelligently switched on or off according to the number of passengers in the elevator;
the voice interaction mode can identify voice elevator taking information of passengers and reach appointed floors according to the voice elevator taking information.
2. The AI intelligence based intelligent elevator dispatching system of claim 1, wherein: the peak period mode comprises a cloud server and a pressure sensor, the pressure sensor transmits collected pressure data to the data analysis processing module, the data analysis processing module transmits the analyzed pressure data to the AI intelligent scheduling module, and the AI intelligent scheduling module marks a peak time stamp according to a preset algorithm and uploads the peak time stamp to the cloud server.
3. The AI intelligence based intelligent elevator dispatching system of claim 2, wherein: the cloud server analyzes the peak time stamp, creates a starting time stamp or deletes the starting time stamp according to a preset algorithm, the cloud server sends the starting time stamp to the AI intelligent scheduling module, and the AI intelligent scheduling module controls the elevator to run according to the preset algorithm.
4. The AI intelligence based intelligent elevator dispatching system of claim 1, wherein: the pre-judging scheduling mode comprises a face recognition module, and the face recognition module collects face information and submits the face information to the data analysis processing module.
5. The AI intelligence based intelligent elevator dispatching system of claim 4, wherein: the data analysis processing module compares and analyzes the face data, transmits the analyzed face data to the AI intelligent dispatching module, and the AI intelligent dispatching module sends an instruction to the elevator controller to control the operation of the elevator according to a preset algorithm.
6. The AI intelligence based intelligent elevator dispatching system of claim 2, wherein: the intelligent speed control module comprises the pressure sensor, the pressure sensor transmits acquired pressure data to the data analysis processing module, the data analysis processing module transmits the analyzed pressure data to the AI intelligent dispatching module, and the AI intelligent dispatching module sends an instruction to the elevator controller according to a preset algorithm to control the running speed of the elevator.
7. The AI intelligence based intelligent elevator dispatching system of claim 2, wherein: the APP pre-calling mode comprises a mobile phone side APP, the mobile phone side APP collects face data and submits appointment taking forms to the cloud server, the cloud server analyzes the face data and processes the appointment taking forms, the cloud server analyzes the face data after analysis and processes the appointment taking forms and sends the face data after analysis and the appointment taking forms to the AI intelligent scheduling module, and the AI intelligent scheduling module sends instructions to the elevator controller to control elevator operation according to a preset algorithm.
8. The AI intelligence based intelligent elevator dispatching system of claim 2, wherein: the intelligent ventilation mode comprises a fresh air ventilator and the pressure sensor, the pressure sensor transmits collected pressure data to the data analysis processing module, the data analysis processing module transmits the analyzed pressure data to the AI intelligent scheduling module, and the AI intelligent scheduling module sends an instruction to the elevator controller according to a preset algorithm to control the operation of the fresh air ventilator.
9. The AI intelligence based intelligent elevator dispatching system of claim 2, wherein: the voice interaction mode comprises a voice broadcasting module, a voice recognition module and the pressure sensor, the pressure sensor transmits the acquired pressure data to the data analysis processing module, the data analysis processing module transmits the analyzed pressure data to the AI intelligent scheduling module, and the AI intelligent scheduling module controls and starts the voice broadcasting module to broadcast preset contents according to a preset algorithm.
10. The AI intelligence-based elevator intelligent dispatching system of claim 9, wherein: the voice recognition module intelligently recognizes voice information of passengers, converts the voice information into digital information and transmits the digital information to the AI intelligent dispatching module, and the AI intelligent dispatching module sends an instruction to the elevator controller according to a preset algorithm to control the operation of the elevator.
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