CN114988231B - Elevator intelligent control management system based on artificial intelligence and Internet of things - Google Patents
Elevator intelligent control management system based on artificial intelligence and Internet of things Download PDFInfo
- Publication number
- CN114988231B CN114988231B CN202210677876.4A CN202210677876A CN114988231B CN 114988231 B CN114988231 B CN 114988231B CN 202210677876 A CN202210677876 A CN 202210677876A CN 114988231 B CN114988231 B CN 114988231B
- Authority
- CN
- China
- Prior art keywords
- elevator
- floor
- adaptive
- reserved
- riding
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B1/00—Control systems of elevators in general
- B66B1/02—Control systems without regulation, i.e. without retroactive action
- B66B1/06—Control systems without regulation, i.e. without retroactive action electric
-
- 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
-
- 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
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B3/00—Applications of devices for indicating or signalling operating conditions of elevators
-
- 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
Abstract
The invention discloses an elevator intelligent control management system based on artificial intelligence and the Internet of things, which comprises an elevator statistical marking module, an elevator taking appointment information receiving module, an adaptive elevator screening module, an adaptive elevator bearing information acquisition module, an adaptive elevator overload judgment module, an appointment result feedback module and a storage database, wherein the elevator taking appointment information receiving module is used for receiving elevator taking appointment information; according to the elevator reservation using research, a user can enter the elevator for reservation using through the elevator taking reservation module at home, the elevator analyzes the reservation condition and feeds back the reservation result, and the calling information of the elevator is not required to be triggered to use at the elevator calling box near the elevator hall door, so that the time for waiting for the elevator can be saved, the problem that passengers are delayed due to queuing at the elevator door in the peak time period is effectively solved, and the operation efficiency of the elevator is improved.
Description
Technical Field
The invention relates to the technical field of elevator intelligent control management, in particular to an elevator intelligent control management system based on artificial intelligence and the Internet of things.
Background
The elevator is widely applied to various office buildings, residential apartments, hotels, markets and other places in cities, and brings convenience to work and life of people. The common elevators have inclined escalators, horizontal walkways and vertical escalators, which require different types of elevators for different use sites. In modern high-rise buildings, the elevator becomes the most important tool for people to take on each floor, and anyone can shuttle between each floor by using the elevator, so that the experience and efficiency of urban residents going upstairs and downstairs are improved.
Because the control mode is too fixed, the current elevator control has management defects, which are specifically represented as follows: the elevator calling function is basically realized by a user touching a calling direction key on a calling panel of an elevator calling box to send out a calling signal, and then controlling an elevator through an elevator controller in a calling system. Because the elevator floor call box is generally only arranged near the elevator hall door, when a user wants to use the elevator, the user not only needs to physically come near the elevator hall door to complete call information, but also needs to spend a long time waiting for the arrival of the elevator; meanwhile, the existing floors are higher and higher, so that the personnel density is high, the elevator hall is arranged in a long team at the peak time of going on and off duty frequently to delay the time of passengers, and the buttons are inconvenient to press when the elevator car is crowded, so that the floors are missed; the situations of resource and time waste and the like caused by the fact that people on the floors are not seated by mistake are also existed. This not only brings inconvenience to users of high-rise and multi-story building elevators, but also reduces the operating efficiency of the elevators.
Disclosure of Invention
In order to overcome the defects in the background art, the embodiment of the invention provides an elevator intelligent control management system based on artificial intelligence and the internet of things, which can effectively solve the problems in the background art.
The purpose of the invention can be realized by the following technical scheme:
an elevator intelligent control management system based on artificial intelligence and the Internet of things comprises: the system comprises an elevator statistics marking module, an elevator taking appointment information receiving module, an adaptive elevator screening module, an adaptive elevator bearing information acquisition module, an adaptive elevator overload judgment module, an appointment result feedback module and a storage database;
the elevator counting and marking module is used for counting the number of elevators existing in a target building of a residential area and numbering the elevators;
the elevator taking reservation module is used for setting elevator taking reservation terminals in each residence corresponding to each floor in a target building of a residential area, and inputting elevator taking reservation information to the elevator taking reservation terminals by a user through voice;
the elevator taking reservation information receiving module is used for setting a taking reservation receiving terminal in the elevator and receiving elevator taking reservation information input by each resident in voice in real time;
the adaptive elevator screening module is used for receiving the elevator taking appointment information sent by the elevator taking appointment information receiving module, further screening an elevator adaptive to the user appointed taking time, and recording the elevator as an adaptive elevator;
the adaptive elevator bearing information acquisition module is used for setting a bearing acquisition terminal in the adaptive elevator, extracting an appointed floor from elevator taking appointment information, marking a previous floor corresponding to the appointed floor as an acquisition floor, and acquiring bearing information corresponding to the adaptive elevator through the bearing acquisition terminal when the adaptive elevator runs to the acquisition floor;
the adaptive elevator overload judgment module is used for comparing the bearing information corresponding to the adaptive elevator with the standard bearing information corresponding to the elevator so as to judge whether the adaptive elevator is overloaded or not;
the reservation result feedback module is used for analyzing the elevator taking reservation result of the user according to the overload judgment result corresponding to the adaptive elevator and feeding back the elevator taking reservation result to the user through the elevator taking reservation terminal;
the storage database is used for storing the single-layer running time length of the elevator in a normal running state, storing the single-layer stopping time length corresponding to the elevator, storing the nuclear load capacity corresponding to the elevator and the set load corresponding to various personnel types, storing the required standing space volume of a single passenger and storing the total space volume corresponding to the elevator in the target building.
As a further improvement of the present invention, the riding reservation information includes reserved riding time, the number of passengers, a person type corresponding to each passenger, an elevator running direction and a reserved floor, wherein the person types include adults and children.
As a further improvement of the present invention, the screening method for screening out the elevator corresponding to the elevator adapted to the scheduled riding time of the user includes the steps of:
s1, extracting the running direction of an elevator from the riding reservation information, acquiring the running direction of each elevator in the target building at the current time point, matching the running direction of the elevator in the riding reservation information with the running direction of each elevator in the target building at the current time point, screening the successfully matched elevator from the running directions, and marking the elevator as a first alternative elevator;
s2, counting the number of the first alternative elevators, acquiring the number of each first alternative elevator, and acquiring the current running floor corresponding to each first alternative elevator;
s3, extracting reserved floors from the riding reservation information, comparing the current running floor corresponding to each first alternative elevator with the reserved floors, screening out first alternative elevators matched with the reserved floors, and marking the first alternative elevators as second alternative elevators;
s4, counting the number of the second alternative elevators, acquiring the number of each second alternative elevator, and further calculating the time length for each second alternative elevator to reach a reserved floor according to the current running floor and the reserved floor corresponding to each second alternative elevator;
s5, extracting the reserved riding time from the riding reservation information, comparing the time length of each second alternative elevator reaching the reserved floor with the reserved riding time, and counting the riding time matching degree corresponding to each second alternative elevator, wherein the calculation formula is
η k The matching degree of the riding time corresponding to the kth second candidate elevator is represented, k is represented as the number corresponding to the second candidate elevator, k =1,2, the k Expressed as the time duration, T, for the k-th second candidate elevator to reach the reserved floor 0 Expressed as the reserved ride time, and Δ T expressed as a preset time difference threshold;
s6: and screening the second alternative elevator with the largest matching degree of the riding time from the second alternative elevators as the elevator matched with the appointed riding time of the user.
As a further improvement of the present invention, the calculation process for calculating the time length corresponding to the arrival time of each second candidate elevator at the reserved floor refers to the following steps:
(1) Extracting the single-layer running time of the elevator in a normal running state from a storage database, and recording the single-layer running time as t1;
(2) Calculating the number of the interval floors between the current running floor and the reserved floor of each second candidate elevator according to the current running floor and the reserved floor corresponding to each second candidate elevator, and recording as x k ；
(3) Extracting single-layer stopping time corresponding to the elevator from a storage database, and recording the single-layer stopping time as t2;
(4) Acquiring a floor number which is pressed in a floor key area in each second alternative elevator, recording the floor number as a first stop floor number, acquiring reserved floor numbers corresponding to other users in an interval floor corresponding to each second alternative elevator, and recording the reserved floor numbers as second stop floor numbers;
(5) Carrying out duplicate removal treatment on the first stop floor number and the second stop floor number corresponding to each second alternative elevator to obtain the floor number corresponding to each second alternative elevator and needing to stop, counting the number of floors needing to stop and recording as y k ；
(6) Calculating the time length of each second alternative elevator reaching the reserved floor according to the single-layer running time length of the elevator in the normal running state, the single-layer stopping time length corresponding to the elevator, the number of the interval floors between the current running floor where each second alternative elevator is located and the reserved floor and the number of the floors needing to stop, wherein the calculation formula is T k ＝t1*x k +t2*y k Wherein x is k Indicating the number of the separation floors between the current running floor where the kth second candidate elevator is located and the reserved floor, y k Indicating the number of floors to which the kth second alternative elevator needs to stop.
As a further development of the invention, the load-bearing information comprises the load and the remaining standing space volume.
Specifically, the method for acquiring the volume of the remaining standing space is as follows:
step 1: acquiring a current passenger riding image in the elevator when the adaptive elevator runs to an acquisition floor through a high-definition camera, counting the number of passengers in the passenger riding image, and numbering each passenger as 1,2, · j,. M;
step 2: extracting body outlines corresponding to the passengers from the current passenger riding images, so as to obtain body standing space volumes corresponding to the passengers;
and step 3: the volume of the riding space in the elevator is adapted according to the body standing space volume corresponding to each passenger and the preset standing clearance space volume statistics, and the calculation formula is
Wherein V denotes the volume of the passenger space in the elevator car, V j Represents the body standing space volume, v, corresponding to the jth passenger 0 Representing a preset standing clearance space volume;
and 4, step 4: and extracting the total space volume corresponding to the adaptive elevator from the storage database, and subtracting the total space volume from the riding space volume in the adaptive elevator to obtain the residual standing space volume.
As a further improvement of the invention, the bearing acquisition terminal comprises a weight sensor and a high-definition camera, wherein the weight sensor is arranged at the bottom of the elevator, and the high-definition camera is arranged inside the elevator.
As a further improvement of the present invention, the method for judging whether the adaptive elevator has overload correspondence is as follows:
extracting the nuclear load capacity corresponding to the elevator and the required standing space volume of a single passenger from a storage database;
comparing the load corresponding to the adaptive elevator with the nuclear load corresponding to the elevator to obtain a load difference corresponding to the adaptive elevator;
extracting the number of passengers and the personnel types corresponding to the passengers from the reservation information, and matching the personnel types corresponding to the passengers with the set loads corresponding to the personnel types stored in the storage database, so as to screen out the set loads corresponding to the passengers;
accumulating the set loads corresponding to each passenger to obtain the reserved riding load corresponding to the user;
comparing the load difference corresponding to the adaptive elevator with the reserved load for taking corresponding to the user, and if the load difference corresponding to the adaptive elevator is smaller than the reserved load for taking corresponding to the user, judging that the adaptive elevator is overloaded
Calculating the volume of the reserved riding space corresponding to the user according to the number of passengers and the volume of the required standing space corresponding to a single passenger;
comparing the remaining standing space volume corresponding to the adaptive elevator with the reserved riding space volume corresponding to the user, and judging that the adaptive elevator is overloaded if the remaining standing space volume corresponding to the adaptive elevator is smaller than the reserved riding space volume corresponding to the user;
and if the load difference corresponding to the adaptive elevator is larger than or equal to the reserved riding load corresponding to the user and the volume of the remaining standing space corresponding to the adaptive elevator is larger than or equal to the reserved riding space corresponding to the user, judging that the adaptive elevator is not overloaded.
As a further improvement of the present invention, the analysis process corresponding to the elevator riding reservation result of the user according to the overload judgment result corresponding to the adaptive elevator is that if the adaptive elevator is judged to be overloaded, the riding reservation fails; otherwise, the ride reservation is successful.
Compared with the prior art, the embodiment of the invention has at least the following advantages or beneficial effects:
the invention provides an intelligent elevator control management system based on artificial intelligence and the Internet of things, which realizes home voice input reservation of an elevator by setting an elevator riding reservation module, does not need a user to physically come to an elevator hall door to trigger a call direction key on a call panel in an elevator call box to send a call signal, is convenient to save trouble, can mainly save a period of time for waiting for the elevator, further solves the problem that the time of passengers is delayed due to the fact that people queue at the door during peak time periods during getting on and off duty, simultaneously solves the problem that the keys are inconvenient to press when a car is crowded, the problem of missing floors and the situations of resource and time waste and the like caused by the fact that people on the floors sit the elevator by mistake, and further improves the operation efficiency of the elevator.
Drawings
The invention is further illustrated by means of the attached drawings, but the embodiments in the drawings do not constitute any limitation to the invention, and for a person skilled in the art, other drawings can be obtained on the basis of the following drawings without inventive effort.
Fig. 1 is a schematic diagram of the module connection of 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. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the invention provides an intelligent elevator control management system based on artificial intelligence and internet of things, which comprises an elevator statistics marking module, an elevator taking reservation information receiving module, an adaptive elevator screening module, an adaptive elevator bearing information acquisition module, an adaptive elevator overload judgment module, a reservation result feedback module and a storage database.
Above-mentioned well elevator takes reservation information receiving module and reservation result feedback module all to take the reservation module with the elevator and is connected, the adaptation elevator bears information acquisition module, the elevator takes reservation information receiving module and elevator statistics mark module all to be connected with adaptation elevator screening module, the adaptation elevator bears information acquisition module and reservation result feedback module and all is connected with adaptation elevator overload judgment module, adaptation elevator screening module, adaptation elevator bears information acquisition module and adaptation elevator overload judgment module and all connects the storage database.
The elevator counting and marking module is used for counting the number of elevators existing in a target building of the residential area and numbering the elevators.
The elevator taking reservation module is used for setting elevator taking reservation terminals corresponding to residents on all floors in a target building of a residential area, and users input elevator taking reservation information to the elevator taking reservation terminals through voice, specifically, the taking reservation information comprises reserved taking time, the number of people, the type of people corresponding to the people, the running direction of an elevator and reserved floors, wherein the type of people comprises adults and children, and the running direction of the elevator comprises an ascending direction and a descending direction.
The elevator taking reservation information receiving module is provided with a taking reservation receiving terminal in the elevator and is used for receiving the elevator taking reservation information input by each resident in a voice mode in real time.
The adaptive elevator screening module is used for receiving elevator riding reservation information sent by the elevator riding reservation information receiving module, further screening an elevator adaptive to the user appointed riding time, and recording the elevator as an adaptive elevator, and specifically, the screening method for screening the elevator adaptive to the user appointed riding time comprises the following steps:
s1, extracting the running direction of an elevator from the riding reservation information, acquiring the running direction of each elevator in the target building at the current time point, matching the running direction of the elevator in the riding reservation information with the running direction of each elevator in the target building at the current time point, screening the successfully matched elevator from the running directions, and marking the elevator as a first alternative elevator;
s2, counting the number of the first alternative elevators, acquiring the number of each first alternative elevator, and acquiring the current running floor corresponding to each first alternative elevator;
in a specific embodiment, the specific screening process for screening out the first candidate elevator matched with the reserved floor as mentioned above is as follows:
when the running direction of the elevator is ascending, comparing the current running floor corresponding to each first alternative elevator with the reserved floor, and screening out the first alternative elevator of which the current running floor is smaller than the reserved floor, wherein the first alternative elevator is the first alternative elevator matched with the reserved floor;
when the elevator running direction is downward, comparing the current running floor corresponding to each first alternative elevator with the reserved floor, and screening out first alternative elevators of which the current running floors are larger than the reserved floor, wherein the first alternative elevators are first alternative elevators matched with the reserved floor;
s3, extracting reserved floors from the riding reservation information, comparing the current running floor corresponding to each first alternative elevator with the reserved floors, screening out first alternative elevators matched with the reserved floors, and marking the first alternative elevators as second alternative elevators;
s4, counting the number of the second alternative elevators, acquiring the number of each second alternative elevator, and calculating the time length for each second alternative elevator to reach the reserved floor according to the current running floor and the reserved floor corresponding to each second alternative elevator;
s5, extracting the reserved riding time from the riding reservation information, and further carrying out the time length for each second alternative elevator to reach the reserved floor and the reserved riding timeAnd comparing and counting the corresponding riding time matching degree of each second alternative elevator, wherein the calculation formula is
η k Is expressed as the corresponding riding time matching degree of the kth second candidate elevator, k is expressed as the corresponding number of the second candidate elevator, k =1,2, right k Expressed as the time duration, T, for the k-th second candidate elevator to reach the reserved floor 0 Expressed as the reserved ride time, and Δ T expressed as a preset time difference threshold;
in the formula, the closer the time length of a certain second candidate elevator reaching the reserved floor is to the reserved riding time, the greater the matching degree of the riding time corresponding to the certain second candidate elevator is, which indicates that the matching degree of the second candidate elevator is higher;
s6: screening out second alternative elevators with the largest riding time matching degree from all the second alternative elevators as elevators matched with the appointed riding time of the user;
in the preferred technical scheme of the invention, the first candidate elevator and the second candidate elevator are screened from a plurality of elevators existing in a target building of a residential area according to the reserved riding time and the reserved floor in the user riding reservation information, so that the screening range of the adaptive elevators is reduced, the complexity is reduced, and the screening efficiency is improved.
Specifically, the following steps are referred to in the calculation process of calculating the time length corresponding to the arrival of each second candidate elevator at the reserved floor:
(1) Extracting the single-layer running time of the elevator in a normal running state from a storage database, and recording the single-layer running time as t1;
(2) Calculating the number of the interval floors between the current running floor and the reserved floor of each second candidate elevator according to the current running floor and the reserved floor corresponding to each second candidate elevator, and recording as x k ；
(3) Extracting single-layer stopping time corresponding to the elevator from a storage database and recording the single-layer stopping time as t2;
(4) Acquiring a floor number which is pressed in a floor key area in each second alternative elevator, recording the floor number as a first stop floor number, acquiring reserved floor numbers corresponding to other users in an interval floor corresponding to each second alternative elevator, and recording the reserved floor numbers as second stop floor numbers;
(5) Carrying out duplication elimination treatment on the first stop floor number and the second stop floor number corresponding to each second alternative elevator to obtain the floor number to be stopped corresponding to each second alternative elevator, counting the number of floors to be stopped, and recording the number as y k ；
Calculating the time length of each second alternative elevator reaching the reserved floor according to the single-layer running time length of the elevator in the normal running state, the single-layer stopping time length corresponding to the elevator, the number of the interval floors between the current running floor where each second alternative elevator is located and the reserved floor and the number of the floors needing to stop, wherein the calculation formula is T k ＝t1*x k +t2*y k Wherein x is k Indicating the number of the separation floors between the current running floor where the kth second candidate elevator is located and the reserved floor, y k Indicating the number of floors to which the kth second alternative elevator needs to stop;
the adaptive elevator bearing information acquisition module is used for setting a bearing acquisition terminal in the adaptive elevator, the bearing acquisition terminal comprises a weight sensor and a high-definition camera, the weight sensor is arranged at the bottom of the elevator, the high-definition camera is arranged in the elevator, the adaptive elevator bearing information acquisition module extracts an appointed floor from elevator taking appointment information, the previous floor corresponding to the appointed floor is marked as an acquisition floor, and bearing information corresponding to the adaptive elevator is acquired through the bearing acquisition terminal when the adaptive elevator runs to the acquisition floor, specifically, the bearing information comprises a load and the volume of a residual standing space;
the corresponding acquisition method of the volume of the residual standing space is as follows:
step 1: acquiring a current passenger riding image in the elevator when the adaptive elevator runs to an acquisition floor through a high-definition camera, counting the number of passengers in the passenger riding image, and numbering each passenger as 1,2, · j,. M;
step 2: extracting body outlines corresponding to the passengers from the current passenger riding images, so as to obtain body standing space volumes corresponding to the passengers;
and step 3: the volume of the riding space in the elevator is adapted according to the body standing space volume corresponding to each passenger and the preset standing clearance space volume statistics, and the calculation formula is
Wherein V denotes the volume of the passenger space in the elevator car, V j Represents the body standing space volume, v, corresponding to the jth passenger 0 Representing a preset standing clearance space volume;
in the formula, when the volume of the body standing space corresponding to the passenger is smaller, the volume of the residual standing space is larger, which indicates that the possibility of adapting to overload of the elevator is smaller, and the reservation success rate of the user is higher;
and 4, step 4: and extracting the total space volume corresponding to the adaptive elevator from the storage database, and subtracting the total space volume from the riding space volume in the adaptive elevator to obtain the residual standing space volume.
The adaptive elevator overload judgment module is used for comparing the bearing information corresponding to the adaptive elevator with the standard bearing information corresponding to the elevator so as to judge whether the adaptive elevator is overloaded or not;
specifically, the method for judging whether the adaptive elevator has overload correspondence is as follows:
extracting the nuclear load capacity corresponding to the elevator and the required standing space volume of a single passenger from a storage database;
comparing the load corresponding to the adaptive elevator with the nuclear load corresponding to the elevator to obtain a load difference corresponding to the adaptive elevator;
extracting the number of passengers and the personnel types corresponding to the passengers from the reservation information, and matching the personnel types corresponding to the passengers with the set loads corresponding to the personnel types stored in the storage database, so as to screen out the set loads corresponding to the passengers;
accumulating the set loads corresponding to each passenger to obtain the reserved riding load corresponding to the user;
comparing the load difference corresponding to the adaptive elevator with the reserved riding load corresponding to the user, and if the load difference corresponding to the adaptive elevator is smaller than the reserved riding load corresponding to the user, judging that the adaptive elevator is overloaded;
calculating the volume of the reserved riding space corresponding to the user according to the number of passengers and the volume of the required standing space corresponding to a single passenger;
comparing the remaining standing space volume corresponding to the adaptive elevator with the reserved riding space volume corresponding to the user, and if the remaining standing space volume corresponding to the adaptive elevator is smaller than the reserved riding space volume corresponding to the user, judging that the adaptive elevator is overloaded;
and if the load difference corresponding to the adaptive elevator is larger than or equal to the reserved riding load corresponding to the user and the volume of the remaining standing space corresponding to the adaptive elevator is larger than or equal to the reserved riding space corresponding to the user, judging that the adaptive elevator is not overloaded.
In the preferred technical scheme of the invention, the adaptive elevator overload judgment module carries out double overload judgment based on the load and the residual standing space volume of the adaptive elevator, so that the problems that the load is not overloaded but the residual standing space volume is insufficient and the elevator has residual standing space volume but the load of the elevator is close to overload can be effectively solved, and the double overload judgment of the load and the residual standing space volume ensures that the overload judgment result is more accurate.
The reservation result feedback module is used for analyzing the elevator taking reservation result of the user according to the overload judgment result corresponding to the adaptive elevator and feeding back the elevator taking reservation result to the user through the elevator taking reservation terminal;
specifically, the feedback result determination method is as follows: analyzing the elevator taking appointment result of the user according to the overload judgment result corresponding to the adaptive elevator, wherein the corresponding analysis process is that if the adaptive elevator is judged to be overloaded, the user takes the appointment to fail; otherwise, the user is indicated to be successful in the riding reservation.
The storage database is used for storing the single-layer running time length of the elevator in a normal running state, storing the single-layer stopping time length corresponding to the elevator, storing the nuclear load capacity corresponding to the elevator and the set load capacity corresponding to various personnel types for matching, storing the required standing space volume of a single passenger and storing the total space volume corresponding to the elevator in the target building.
According to the embodiment of the invention, the home voice input appointment elevator is realized by setting the elevator riding appointment module, a user does not need to physically arrive at the elevator hall door to trigger the call direction key on the call panel in the elevator call box to send the call signal, so that the convenience and trouble saving are realized, the time for waiting for the elevator can be saved for a long time, the problem that the time of passengers is delayed due to queuing at the door during the peak time of getting on and off duty is solved, the problem that the keys are inconvenient to press when the elevator car is crowded is solved, the floor is missed, the situations that the elevator is not missed by people on the floor, such as resource and time waste, are solved, and the operation efficiency of the elevator is improved.
The foregoing is merely exemplary and illustrative of the present invention and various modifications, additions and substitutions may be made by those skilled in the art to the specific embodiments described without departing from the scope of the invention as defined in the following claims.
Claims (9)
1. The utility model provides an elevator intelligent control management system based on artificial intelligence and thing networking which characterized in that includes: the system comprises an elevator statistical marking module, an elevator taking appointment information receiving module, an adaptive elevator screening module, an adaptive elevator bearing information acquisition module, an adaptive elevator overload judgment module, an appointment result feedback module and a storage database;
the elevator counting and marking module is used for counting the number of elevators in a target building of a residential area and numbering the elevators;
the elevator taking reservation module is used for setting elevator taking reservation terminals in each residence corresponding to each floor in a target building of a residential area, and inputting elevator taking reservation information to the elevator taking reservation terminals by a user through voice;
the elevator taking reservation information receiving module is used for setting a taking reservation receiving terminal in the elevator and receiving elevator taking reservation information input by each resident in voice in real time;
the adaptive elevator screening module is used for receiving elevator taking appointment information sent by the elevator taking appointment information receiving module, further screening an elevator adaptive to the user appointed taking time, and recording the elevator as an adaptive elevator;
the adaptive elevator bearing information acquisition module is used for setting a bearing acquisition terminal in the adaptive elevator, extracting an appointed floor from elevator taking appointment information, marking a previous floor corresponding to the appointed floor as an acquisition floor, and acquiring bearing information corresponding to the adaptive elevator through the bearing acquisition terminal when the adaptive elevator runs to the acquisition floor;
the adaptive elevator overload judgment module is used for comparing the bearing information corresponding to the adaptive elevator with the standard bearing information corresponding to the elevator so as to judge whether the adaptive elevator is overloaded or not;
the reservation result feedback module is used for analyzing the elevator taking reservation result of the user according to the overload judgment result corresponding to the adaptive elevator and feeding back the elevator taking reservation result to the user through the elevator taking reservation terminal;
the storage database is used for storing the single-layer running time length of the elevator in a normal running state, storing the single-layer stopping time length corresponding to the elevator, storing the nuclear load capacity corresponding to the elevator and the set load corresponding to various personnel types, storing the required standing space volume of a single passenger and storing the total space volume corresponding to the elevator in the target building.
2. The elevator intelligent control management system based on artificial intelligence and the internet of things according to claim 1, characterized in that: the riding reservation information comprises reserved riding time, the number of passengers, the type of the person corresponding to each passenger, the running direction of the elevator and the reserved floor, wherein the types of the persons comprise adults and children.
3. The elevator intelligent control management system based on artificial intelligence and the internet of things according to claim 1, characterized in that: the screening method for screening the elevator corresponding to the elevator adaptive to the appointed riding time of the user comprises the following steps:
s1, extracting the running direction of an elevator from the riding reservation information, acquiring the running direction of each elevator in the target building at the current time point, matching the running direction of the elevator in the riding reservation information with the running direction of each elevator in the target building at the current time point, screening the successfully matched elevator from the running directions, and marking the elevator as a first alternative elevator;
s2, counting the number of the first alternative elevators, acquiring the number of each first alternative elevator, and acquiring the current running floor corresponding to each first alternative elevator;
s3, extracting reserved floors from the riding reservation information, comparing the current running floor corresponding to each first alternative elevator with the reserved floors, screening out first alternative elevators matched with the reserved floors, and marking the first alternative elevators as second alternative elevators;
s4, counting the number of the second alternative elevators, acquiring the number of each second alternative elevator, and calculating the time length for each second alternative elevator to reach the reserved floor according to the current running floor and the reserved floor corresponding to each second alternative elevator;
s5, extracting the reserved riding time from the riding reservation information, comparing the time length of each second alternative elevator reaching the reserved floor with the reserved riding time, and counting the riding time matching degree corresponding to each second alternative elevator, wherein the calculation formula is
η k The matching degree of the riding time corresponding to the kth second candidate elevator is represented, k is represented as the number corresponding to the second candidate elevator, k =1,2, the k Expressed as the time duration, T, for the k-th second candidate elevator to reach the reserved floor 0 Expressed as the reserved ride time, and Δ T expressed as a preset time difference threshold;
s6: and screening out the second alternative elevator with the maximum matching degree of the riding time from the second alternative elevators as the elevator matched with the appointed riding time of the user.
4. The intelligent elevator control and management system based on artificial intelligence and the Internet of things as claimed in claim 1, wherein: the calculation process corresponding to the time length for each second alternative elevator to reach the reserved floor refers to the following steps:
(1) Extracting the single-layer running time of the elevator in a normal running state from a storage database, and recording the single-layer running time as t1;
(2) Calculating the number of the interval floors between the current running floor and the reserved floor of each second candidate elevator according to the current running floor and the reserved floor corresponding to each second candidate elevator, and recording as x k ；
(3) Extracting single-layer stopping time corresponding to the elevator from a storage database, and recording the single-layer stopping time as t2;
(4) Acquiring a floor number which is pressed in a floor key area in each second alternative elevator, recording the floor number as a first stop floor number, acquiring reserved floor numbers corresponding to other users in an interval floor corresponding to each second alternative elevator, and recording the reserved floor numbers as second stop floor numbers;
(5) Carrying out duplication elimination treatment on the first stop floor number and the second stop floor number corresponding to each second alternative elevator to obtain the floor number to be stopped corresponding to each second alternative elevator, counting the number of floors to be stopped, and recording the number as y k ；
(6) Calculating the time length of each second alternative elevator reaching the reserved floor according to the single-layer running time length of the elevator in the normal running state, the single-layer stopping time length corresponding to the elevator, the number of the interval floors between the current running floor where each second alternative elevator is located and the reserved floor and the number of the floors needing to be stopped, wherein the calculation formula is T k ＝t1*x k +t2*y k Wherein x is k Indicating the number of the separation floors between the current running floor where the kth second candidate elevator is located and the reserved floor, y k Indicating the number of floors the kth second alternative elevator needs to stop.
5. The elevator intelligent control management system based on artificial intelligence and the internet of things according to claim 1, characterized in that: the load bearing information includes a load and a remaining standing space volume.
6. The intelligent elevator control and management system based on artificial intelligence and the Internet of things according to claim 5, wherein: the method for acquiring the residual standing space volume correspondingly comprises the following steps:
step 1: acquiring a current passenger riding image in the elevator when the adaptive elevator runs to an acquisition floor through a high-definition camera, counting the number of passengers in the passenger riding image, and numbering each passenger as 1,2, · j,. M;
and 2, step: extracting body contours corresponding to the passengers from the current passenger riding image, and acquiring body standing space volumes corresponding to the passengers;
and step 3: the volume of the riding space in the elevator is adapted according to the body standing space volume corresponding to each passenger and the preset standing clearance space volume statistics, and the calculation formula is
Wherein V denotes the volume of the passenger space in the elevator car, V j Represents the body standing space volume, v, corresponding to the jth passenger 0 Representing a preset standing clearance space volume;
and 4, step 4: and extracting the total space volume corresponding to the adaptive elevator from the storage database, and subtracting the total space volume from the riding space volume in the adaptive elevator to obtain the residual standing space volume.
7. The elevator intelligent control management system based on artificial intelligence and the internet of things according to claim 1, characterized in that: bear collection terminal includes weight sensor and high definition digtal camera, and wherein weight sensor sets up in the elevator bottom, and high definition digtal camera sets up inside the elevator.
8. The intelligent elevator control and management system based on artificial intelligence and the Internet of things as claimed in claim 1, wherein: the method for judging whether the adaptive elevator is overloaded or not is as follows:
extracting the nuclear load capacity corresponding to the elevator and the required standing space volume of a single passenger from a storage database;
comparing the load corresponding to the adaptive elevator with the nuclear load corresponding to the elevator to obtain a load difference corresponding to the adaptive elevator;
extracting the number of passengers and the personnel types corresponding to the passengers from the riding reservation information, and matching the personnel types corresponding to the passengers with the set loads corresponding to the personnel types stored in the storage database, thereby screening the set loads corresponding to the passengers;
accumulating the set loads corresponding to each passenger to obtain the reserved riding load corresponding to the user;
comparing the load difference corresponding to the adaptive elevator with the reserved riding load corresponding to the user, and judging that the adaptive elevator is overloaded if the load difference corresponding to the adaptive elevator is smaller than the reserved riding load corresponding to the user;
calculating the volume of the reserved riding space corresponding to the user according to the number of passengers and the volume of the required standing space corresponding to a single passenger;
comparing the remaining standing space volume corresponding to the adaptive elevator with the reserved riding space volume corresponding to the user, and judging that the adaptive elevator is overloaded if the remaining standing space volume corresponding to the adaptive elevator is smaller than the reserved riding space volume corresponding to the user;
and if the load difference corresponding to the adaptive elevator is greater than or equal to the reserved riding load corresponding to the user and the remaining standing space volume corresponding to the adaptive elevator is greater than or equal to the reserved riding space volume corresponding to the user, judging that the adaptive elevator is not overloaded.
9. The intelligent elevator control and management system based on artificial intelligence and the Internet of things as claimed in claim 1, wherein: the analysis process corresponding to the elevator riding appointment result of the user according to the overload judgment result corresponding to the adaptive elevator is that if the adaptive elevator is judged to be overloaded, the riding appointment fails; otherwise, the ride reservation is successful.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210677876.4A CN114988231B (en) | 2022-06-15 | 2022-06-15 | Elevator intelligent control management system based on artificial intelligence and Internet of things |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210677876.4A CN114988231B (en) | 2022-06-15 | 2022-06-15 | Elevator intelligent control management system based on artificial intelligence and Internet of things |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN114988231A CN114988231A (en) | 2022-09-02 |
| CN114988231B true CN114988231B (en) | 2023-04-18 |
Family
ID=83034200
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210677876.4A Active CN114988231B (en) | 2022-06-15 | 2022-06-15 | Elevator intelligent control management system based on artificial intelligence and Internet of things |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114988231B (en) |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111960199A (en) * | 2020-08-13 | 2020-11-20 | 安徽迅立达电梯有限公司 | Elevator intelligent scheduling system based on passenger carrying number |
| CN113911862A (en) * | 2021-10-18 | 2022-01-11 | 红石阳光（北京）科技股份有限公司 | Wisdom building elevator state inquiry and take advantage of terraced reservation system |
Family Cites Families (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2003300680A (en) * | 2002-04-10 | 2003-10-21 | Takao Suzuki | Elevator system and method of controlling it |
| JP5257451B2 (en) * | 2008-08-11 | 2013-08-07 | 三菱電機株式会社 | Elevator operation control device |
| JP5421648B2 (en) * | 2009-04-28 | 2014-02-19 | 株式会社日立製作所 | Elevator control device and elevator device provided with this elevator control device |
| JP6097187B2 (en) * | 2013-09-20 | 2017-03-15 | 株式会社日立製作所 | Elevator group management control device |
| CN104495538A (en) * | 2014-12-23 | 2015-04-08 | 安科智慧城市技术（中国）有限公司 | Elevator calling method, elevator calling system and elevator reservation device |
| CN108792860A (en) * | 2018-05-25 | 2018-11-13 | 深圳春沐源控股有限公司 | Elevator reservation method, apparatus and computer readable storage medium |
| CN113233267B (en) * | 2021-06-08 | 2022-09-16 | 湖南信达通信息技术有限公司 | Intelligent elevator stop management method and system based on machine vision feature recognition and computer storage medium |
-
2022
- 2022-06-15 CN CN202210677876.4A patent/CN114988231B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111960199A (en) * | 2020-08-13 | 2020-11-20 | 安徽迅立达电梯有限公司 | Elevator intelligent scheduling system based on passenger carrying number |
| CN113911862A (en) * | 2021-10-18 | 2022-01-11 | 红石阳光（北京）科技股份有限公司 | Wisdom building elevator state inquiry and take advantage of terraced reservation system |
Also Published As
| Publication number | Publication date |
|---|---|
| CN114988231A (en) | 2022-09-02 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105752778B (en) | Elevator runs group control method and system | |
| CN108639880B (en) | Elevator group control system and method based on image recognition | |
| EP2213604B1 (en) | Method and apparatus to reduce waiting times for destination based dispatching systems | |
| CN107187966B (en) | A kind of multi-section elevator control method and system based on number testing result | |
| CN109132750B (en) | Automatic parking method and system for parking space linkage elevator | |
| CN110861983A (en) | Elevator operation control method and device | |
| CN110155827B (en) | Intelligent control system of group elevator | |
| JP2019081622A (en) | Vehicle allocation system of external system cooperation and method | |
| CN111960199B (en) | Elevator intelligent dispatching system based on passenger number | |
| CN113682908B (en) | Intelligent scheduling method based on deep learning | |
| CN107628490A (en) | The recognition of face Intelligent elevator runtime and operation method of large-scale office building | |
| JP3239587B2 (en) | Elevator group management device | |
| CN114988231B (en) | Elevator intelligent control management system based on artificial intelligence and Internet of things | |
| CN110386520A (en) | A kind of Elevator operation control system and method | |
| CN113896063B (en) | Intelligent elevator dispatching system based on AI intelligence | |
| CN114873387A (en) | Elevator energy-saving dispatching system and method based on reinforcement learning algorithm | |
| CN210854833U (en) | Multi-car elevator control system | |
| CN115180470A (en) | Building elevator management and control system based on self-learning | |
| CN111807176B (en) | Operation control system of elevator | |
| CN110065855B (en) | Multi-car elevator control method and control system | |
| CN110422717B (en) | Intelligent elevator control method based on image acquisition | |
| CN113371562A (en) | Elevator carrying control method and system for passenger shunting | |
| CN217264054U (en) | Elevator cluster intelligent control device | |
| CN110937478B (en) | Hall call control method at peak period of people stream | |
| CN216471614U (en) | Device for reducing waiting time of passengers for elevator |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20230320 Address after: 200040 Room 1809, Lane 488, Wuning South Road, Jing'an District, Shanghai Applicant after: Shanghai Yihong Elevator Technology Development Co.,Ltd. Address before: 430070 No.1, huanle Avenue, Hongshan District, Wuhan City, Hubei Province Applicant before: Wuhan Anxian Technology Co.,Ltd. |
|
| TA01 | Transfer of patent application right | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |