CN111348497A - Elevator lifting control method based on Internet of things - Google Patents
Elevator lifting control method based on Internet of things Download PDFInfo
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- CN111348497A CN111348497A CN201910978865.8A CN201910978865A CN111348497A CN 111348497 A CN111348497 A CN 111348497A CN 201910978865 A CN201910978865 A CN 201910978865A CN 111348497 A CN111348497 A CN 111348497A
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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
- B66B1/02—Control systems without regulation, i.e. without retroactive action
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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
- B66B1/3407—Setting or modification of parameters of 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
- B66B1/3415—Control system configuration and the data transmission or communication within the control system
- B66B1/3423—Control system configuration, i.e. lay-out
-
- 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
- B66B3/00—Applications of devices for indicating or signalling operating conditions of elevators
- B66B3/002—Indicators
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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
- B66B5/00—Applications of checking, fault-correcting, or safety devices in elevators
- B66B5/0006—Monitoring devices or performance analysers
- B66B5/0018—Devices monitoring the operating condition of the elevator system
-
- 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
- B66B5/0037—Performance analysers
-
- 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
- B66B5/02—Applications of checking, fault-correcting, or safety devices in elevators responsive to abnormal operating conditions
Abstract
The invention discloses an elevator lifting control method based on the Internet of things, which comprises an elevator operation data acquisition module, a data processing module and a data processing module, wherein the elevator operation data acquisition module is used for acquiring operation data of an elevator in real time; the system comprises a face recognition module, a monitoring module and a monitoring module, wherein the face recognition module is arranged on each floor, and is used for collecting crowd data of a waiting elevator at an elevator entrance of the floor, wherein the crowd data comprises face images and the number of people; the system comprises an Internet of things big data platform module, an elevator operation data acquisition module and a human face recognition module, wherein the Internet of things big data platform module is connected with the human face recognition module and the elevator operation data acquisition module of each elevator, the Internet of things big data platform module calculates according to crowd data and operation data of the elevators to obtain elevator operation modes, and the elevator operation modes are an elevator self-adaptive lifting mode and a conventional mode; the elevator lifting control module is connected with the Internet of things big data platform module, and the Internet of things big data platform module transmits the elevator running mode to the elevator lifting control module so as to control the lifting of the elevator. The elevator resource can be reasonably allocated, and the utilization rate of the elevator is improved.
Description
Technical Field
The invention relates to the technical field of elevator control, in particular to an elevator lifting control method based on the Internet of things.
Background
Currently, in some office buildings, 4 to 8 elevators are typically installed. Generally, in the peak period of working from 8 to 9 in the morning, workers often take the elevator from the first floor or the underground garage, when the elevator sends people to a target floor, the elevator stops at the floor, and only when the workers on the floor or the underground garage press the up key of the elevator, the elevator on the high floor descends to the first floor or the underground garage, and as the existing floors are generally higher, the elevator needs to wait for a lot of time when descending. In the process of waiting for the elevator to descend, people at the elevator opening of the first floor or the underground garage are crowded abnormally, the working mood is affected, and a large amount of time is wasted. Similarly, in off-duty peak hours, the current elevator system does not achieve reasonable allocation of elevator resources, resulting in many people and other elevators, and the situation of over-crowding of the elevators occurs.
Disclosure of Invention
The invention aims to provide an elevator lifting control method based on the Internet of things, which can reasonably allocate elevator resources and improve the utilization rate of an elevator.
In order to solve the technical problems, the invention provides an elevator lifting control method based on the internet of things, which comprises an elevator operation data acquisition module, wherein the elevator operation data acquisition module is used for acquiring operation data of an elevator in real time, and the operation data of the elevator comprises information whether passengers exist, elevator operation floor information, elevator operation direction information, passenger button information and elevator operation speed;
the system comprises a face recognition module, a data acquisition module and a data processing module, wherein the face recognition module is arranged on each floor and used for acquiring crowd data of a waiting elevator at an elevator entrance of the floor, and the crowd data comprises face images and the number of people;
the system comprises an Internet of things big data platform module, an elevator operation data acquisition module and a human face recognition module, wherein the Internet of things big data platform module is connected with the human face recognition module and the elevator operation data acquisition module of each elevator, and calculates and obtains an elevator operation mode according to crowd data and operation data of the elevators, wherein the elevator operation mode is an elevator self-adaptive lifting mode and a conventional mode;
the elevator lifting control module is connected with the Internet of things big data platform module, and the Internet of things big data platform module transmits an elevator running mode to the elevator lifting control module so as to control the lifting of the elevator.
Preferably, the "internet of things big data platform module calculates to obtain the elevator lifting mode according to the crowd data and the operation data of the elevator", and specifically includes:
acquiring the number a of no-load elevators according to the elevator running data, and marking the no-load elevators;
comparing the number of people to be occupied on each floor according to the crowd data, sequencing the number of people to be occupied on each floor from at least one number, and acquiring the highest number m of people to be occupied and a floor L corresponding to the highest number m of people to be occupied;
setting a preset number of people threshold m0The highest number m of people to be ridden and a preset number m of people are calculated0The comparison is carried out in such a way that,
if the highest number m of passengers to be taken is larger than the preset number m of passengers0The no-load elevator is moved to the floor L according to the highest number m of people to be ridden, namely the self-adaptive lifting mode,
if the highest number m of people to be ridden is less than the preset number m of people0And the empty elevator ascends and descends according to the conventional mode.
Preferably, the step of "if the highest number m of persons to be ridden is larger than a preset number threshold m0And moving the empty elevator to a floor L' according to the maximum number m of the passengers to be taken, which specifically comprises the following steps:
taking the expected number b of the elevators as INT (m/n), wherein n is the maximum number of people carrying a single elevator;
comparing the number a of unloaded elevators with the number b of expected elevators;
if a is larger than b, b empty elevators move to a floor L;
if a is less than b, a empty elevators move to floor L.
Preferably, the system also comprises a staff database, wherein the staff database comprises face information of staff in the office building and company floor information of the staff;
the Internet of things big data platform module compares the crowd information collected by the face recognition module with a staff database, and divides face images in the crowd waiting for the elevator into groups according to the floors of a company, wherein the face images of the company of the staff on the same floor form a group;
taking a group of corresponding company floors with the most face images as a crowd target gathering floor L';
and in the self-adaptive lifting mode, when a single empty elevator lifts to a floor L, the display screen displays a target gathering floor L'.
Preferably, the elevator system further comprises a remote monitoring module, wherein the remote monitoring module acquires daily elevator lifting information, and the elevator lifting information comprises the personnel entering condition and the personnel exiting condition of the elevator in each time period; the remote monitoring module is also connected with the elevator operation data acquisition module, and the remote monitoring module judges the health condition of the elevator according to the elevator operation data.
The invention has the beneficial effects that:
1. according to the invention, the no-load information of the elevator operation data acquisition module is acquired through the Internet of things big data platform module, the waiting crowd data is identified through the face identification module, the crowd data is analyzed, the elevator motion mode is acquired, and when the elevator is in the self-adaptive lifting mode, the no-load elevator preferentially stops at the floor with the most crowds, so that the crowd diversion with large flow is realized, and the problem of crowd gathering during the peak period of going to and going from office on a office building is solved.
2. The invention can reasonably allocate elevator resources and improve the utilization rate of the elevator.
Drawings
FIG. 1 is a schematic flow diagram of the present invention;
fig. 2 is a flowchart of elevator hoist mode determination of the present invention;
fig. 3 is a flow chart of the present invention showing a target aggregation floor L' on a display screen.
Detailed Description
The present invention is further described below in conjunction with the following figures and specific examples so that those skilled in the art may better understand the present invention and practice it, but the examples are not intended to limit the present invention.
Referring to fig. 1-3, the invention discloses an elevator lifting control method based on the internet of things, which comprises an elevator operation data acquisition module, a face recognition module, an internet of things big data platform module and an elevator lifting control module.
The elevator operation data acquisition module is used for acquiring the operation data of the elevator in real time, and the operation data of the elevator comprises whether passenger information, elevator operation floor information, elevator operation direction information, passenger button information and elevator operation speed.
Every floor all is provided with face identification module, and face identification module gathers the crowd data of the waiting elevator of this floor elevator mouth, and crowd data includes face image and number of people.
The internet of things big data platform module is connected with the face recognition module and the elevator operation data acquisition module of each elevator, and the internet of things big data platform module calculates according to crowd data and the operation data of the elevator to obtain an elevator operation mode, wherein the elevator operation mode is an elevator self-adaptive lifting mode and a conventional mode.
The elevator lifting control module is connected with the Internet of things big data platform module, and the Internet of things big data platform module transmits the elevator running mode to the elevator lifting control module so as to control the lifting of the elevator.
Wherein, "thing networking big data platform module calculates according to crowd's data and the operational data of elevator and obtains the elevator lift mode", specifically includes:
firstly, acquiring the number a of no-load elevators according to elevator running data, and marking the no-load elevators;
secondly, comparing the number of passengers to be taken on each floor according to the crowd data, and sequencing the number of passengers to be taken on each floor by at least to obtain the highest number m of passengers to be taken and a floor L corresponding to the highest number m of passengers to be taken;
third, settingPresetting a threshold m of the number of people0The highest number m of people to be ridden and a preset number m of people are calculated0A comparison is made.
(1) If the highest number m of passengers to be taken is larger than the preset number m of passengers0And moving the no-load elevator to the floor L according to the maximum number m of the passengers to be taken, namely the self-adaptive lifting mode. The self-adaptive lifting mode is to allocate the empty elevator according to the number of people on the floor with the largest number of people, so that the empty elevator can preferentially reach the floor with a large number of waiting people, the maximum flow of people can be dredged, and the working efficiency of the elevator system can be improved.
The adaptive lifting mode specifically comprises:
(a) taking the expected number b of the elevators as INT (m/n), wherein n is the maximum number of people carrying a single elevator; INT is an integer function;
(b) comparing the number a of unloaded elevators with the number b of expected elevators;
(c) if a is larger than b, b empty elevators move to a floor L; if a is less than b, a empty elevators move to floor L.
(2) If the highest number m of people to be ridden is less than the preset number m of people0And the empty elevator ascends and descends according to the conventional mode. The normal mode is a normal elevator operation mode, and the elevator can move to the floor where the waiting personnel are located only under the condition that the waiting personnel press keys.
Therefore, when the number m of people waiting for the elevator detected by the face recognition module of a certain floor is larger than m0I.e. entering an adaptive lifting mode, the empty elevator can stop at the floor continuously, and carry away the people on the floor until the number of people waiting for the elevator on the floor is lower than m0I.e. enter normal mode.
Presetting a threshold m of the number of people0Can be set according to the requirement, for example, the preset number of people threshold is set as m0When the number m of people waiting for the elevator detected by the face recognition module of a certain floor is larger than 8 and m is 17, the self-adaptive lifting mode is entered, and the empty elevator can stop at the floor continuously and carry a group of people first.
And then, the Internet of things big data platform module acquires the highest number of people to be ridden and the floor corresponding to the highest number of people to be ridden again. And comparing the number of people waiting for the elevator at the current moment with a preset number of people threshold, and judging whether to enter a self-adaptive lifting mode again. So, can regulate and control the more floor of number of waiting for the empty load elevator is preferred to be reachd the more floor of number of waiting for, thereby dredges the floor that the traffic is the biggest, thereby improves the rational distribution of elevator resource when the peak of going to and going to work.
For the floors with less waiting people, although the no-load elevator can not reach the floors preferentially and has partial time delay, the elevator can enter a conventional mode when the people flow of the floors with the most waiting people is dredged, so that the elevator resources among the floors can be distributed reasonably, and the working efficiency of the whole elevator is improved.
In addition, the invention also comprises a staff database, wherein the staff database comprises the face information of staff in the office building and the company floor information of the staff. In order to reasonably classify the people waiting for the elevator and facilitate the passengers going to the same floor to walk into the same elevator, the method comprises the following steps:
the method comprises the steps that firstly, the Internet of things big data platform module compares crowd information collected by a face recognition module with a staff database, facial images in crowd waiting for an elevator are grouped according to company floors, and facial images of staff companies on the same floor form a group;
secondly, taking a group of corresponding company floors with the most face images as a crowd target gathering floor L';
and thirdly, arranging a display screen on the floor where the elevator is located, and in the self-adaptive lifting mode, when a single empty elevator lifts to the floor L, displaying the target gathering floor L' by the display screen. So, when the elevator was when self-adaptation lifting mode, judge and obtain this the highest floor L department that waits to take advantage of the people number and correspond and wait people's company floor to obtain crowd's target and gather floor L ', so, show the information that will reach floor L' in advance on the display screen, the staff of the company at same floor of being convenient for gets into same elevator, thereby can avoid a plurality of floors of elevator lift in-process to stop, improve elevator operating efficiency. The display screens are arranged at eachOutside the landing elevator shaft. During the hoisting or lowering of the empty elevators, one of the empty elevators shows the target aggregation floor L'. For example, the office building has 23 floors, wherein the waiting number of people on the first floor is the largest, and the waiting number of people exceeds the preset number threshold m0Therefore, when the elevator enters the self-adaptive lifting mode, the empty elevator can preferentially reach the first floor until the number of waiting people on the first floor is lower than the preset number of people threshold. And the crowd that waits on the first floor compares with staff's database through facial image, and the company is more in the number of waiting on 15 stories, so, can show on the display screen of the first floor and wait to meet the elevator and can reach 15 stories, so, be convenient for wait the crowd and select to get into same elevator, reduce the midway of elevator and stop. Of course, if one waiting group is that the company is on the 15 th floor, but his destination goes to the 4 th floor, he may choose not to enter the elevator whose destination floor is the 15 th floor as shown on the display screen, depending on his own selection ability. In the whole elevator system, when a plurality of empty elevators ascend and descend to a floor at the same time, only one empty elevator displays a target floor on a display screen, and other empty elevators normally display other passengers. The purpose of this is to transport away a large number of floors of the same destination, improving the efficiency of the transport.
The invention also comprises a remote monitoring module, wherein the remote monitoring module acquires the lifting information of the elevator every day, and the lifting information of the elevator comprises the personnel entering condition and the personnel exiting condition of the elevator in each time period. The remote monitoring module is also connected with the elevator operation data acquisition module, and the remote monitoring module judges the health condition of the elevator according to the elevator operation data.
The above-mentioned embodiments are merely preferred embodiments for fully illustrating the present invention, and the scope of the present invention is not limited thereto. The equivalent substitution or change made by the technical personnel in the technical field on the basis of the invention is all within the protection scope of the invention. The protection scope of the invention is subject to the claims.
Claims (5)
1. An elevator lifting control method based on the Internet of things is characterized by comprising the following steps:
the elevator operation data acquisition module is used for acquiring the operation data of an elevator in real time, wherein the operation data of the elevator comprises whether passenger information, elevator operation floor information, elevator operation direction information, passenger button information and elevator operation speed;
the system comprises a face recognition module, a data acquisition module and a data processing module, wherein the face recognition module is arranged on each floor and used for acquiring crowd data of a waiting elevator at an elevator entrance of the floor, and the crowd data comprises face images and the number of people;
the system comprises an Internet of things big data platform module, an elevator operation data acquisition module and a human face recognition module, wherein the Internet of things big data platform module is connected with the human face recognition module and the elevator operation data acquisition module of each elevator, and calculates and obtains an elevator operation mode according to crowd data and operation data of the elevators, wherein the elevator operation mode is an elevator self-adaptive lifting mode and a conventional mode;
the elevator lifting control module is connected with the Internet of things big data platform module, and the Internet of things big data platform module transmits an elevator running mode to the elevator lifting control module so as to control the lifting of the elevator.
2. The Internet of things-based elevator lifting control method according to claim 1, wherein the step of calculating the elevator lifting mode by the Internet of things big data platform module according to the crowd data and the operation data of the elevator specifically comprises the steps of:
acquiring the number a of no-load elevators according to the elevator running data, and marking the no-load elevators;
comparing the number of people to be occupied on each floor according to the crowd data, sequencing the number of people to be occupied on each floor from at least one number, and acquiring the highest number m of people to be occupied and a floor L corresponding to the highest number m of people to be occupied;
setting a preset number of people threshold m0The highest number m of people to be ridden and a preset number m of people are calculated0The comparison is carried out in such a way that,
if the highest number m of passengers to be taken is larger than the preset number m of passengers0The no-load elevator is moved to the floor L according to the highest number m of people to be ridden, namely the self-adaptive lifting mode,
if the highest number m of persons to be ridden is smallAt a predetermined threshold m of the number of people0And the empty elevator ascends and descends according to the conventional mode.
3. The Internet of things-based elevator lifting control method according to claim 1, wherein if the maximum number m of people to be ridden is greater than a preset number threshold m0And moving the empty elevator to a floor L' according to the maximum number m of the passengers to be taken, which specifically comprises the following steps:
taking the expected number b of the elevators as INT (m/n), wherein n is the maximum number of people carrying a single elevator;
comparing the number a of unloaded elevators with the number b of expected elevators;
if a is larger than b, b empty elevators move to a floor L;
if a is less than b, a empty elevators move to floor L.
4. The Internet of things-based elevator lifting control method according to claim 2, further comprising a staff database, wherein the staff database contains face information of staff in an office building and company floor information of the staff;
the Internet of things big data platform module compares the crowd information collected by the face recognition module with a staff database, and divides face images in the crowd waiting for the elevator into groups according to the floors of a company, wherein the face images of the company of the staff on the same floor form a group;
taking a group of corresponding company floors with the most face images as a crowd target gathering floor L';
and in the self-adaptive lifting mode, when a single empty elevator lifts to a floor L, the display screen displays a target gathering floor L'.
5. The Internet of things-based elevator lifting control method according to claim 1, further comprising a remote monitoring module, wherein the remote monitoring module acquires daily elevator lifting information, and the elevator lifting information comprises personnel entering conditions and personnel exiting conditions of an elevator in each time period; the remote monitoring module is also connected with the elevator operation data acquisition module, and the remote monitoring module judges the health condition of the elevator according to the elevator operation data.
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Application publication date: 20200630 |