CN110937479A - Method of intelligent elevator management system based on Internet of things - Google Patents

Method of intelligent elevator management system based on Internet of things Download PDF

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Publication number
CN110937479A
CN110937479A CN201911258457.1A CN201911258457A CN110937479A CN 110937479 A CN110937479 A CN 110937479A CN 201911258457 A CN201911258457 A CN 201911258457A CN 110937479 A CN110937479 A CN 110937479A
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Prior art keywords
elevator
acceleration
sensor
fpga
module
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CN201911258457.1A
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张艳
胡兴柳
余振中
王逸之
陈丽换
杨忠
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Jinling Institute of Technology
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Jinling Institute of Technology
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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
    • B66B1/28—Control systems with regulation, i.e. with retroactive action, for influencing travelling speed, acceleration, or deceleration electrical
    • 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
    • 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
    • B66B5/0031—Devices monitoring the operating condition of the elevator system for safety reasons
    • 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

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  • Engineering & Computer Science (AREA)
  • Automation & Control Theory (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Maintenance And Inspection Apparatuses For Elevators (AREA)
  • Indicating And Signalling Devices For Elevators (AREA)

Abstract

The invention relates to an intelligent elevator management system based on the Internet of things. A controller using an FPGA data acquisition system and a transmission network is used, the characteristics of high-speed parallel data processing of the FPGA are utilized, the FPGA is used for receiving the measurement data of each sensor at a high speed, and the sensors comprise a gyroscope sensor, a human body infrared sensor, a photoelectric sensor, a position sensor, a gravity sensor module and the like and are used for detecting the state of the elevator. The network layer FPGA can use the wifi wireless communication module to communicate with the cloud server machine, and the cloud server communicates with the network layer FPGAs on the data transmission cloud server. The cloud server analyzes the data and sends an analysis result to the network layer FPGA controller, and the FPGA can control the executing mechanism to make a corresponding reaction according to actual conditions. The elevator is operated safely.

Description

Method of intelligent elevator management system based on Internet of things
Technical Field
The invention belongs to the technical field of management based on the Internet of things, and particularly relates to a method of an intelligent elevator management system based on the Internet of things.
Background
With the improvement of living standard of people, the number of the elevator cabs is increased at a high speed, people trapping and injuring accidents caused by power failure, faults and other reasons frequently happen to the elevator, nerves of the public are stabbed, and the public is attracted to the safety of the elevator. According to the national quality control bureau, in the recent investigation, 31 provincial elevators in the country are found to be used, maintained and maintained by self-checking elevators for 23.6 thousands, and 11.1 thousands of elevators with potential safety hazards are found. This means that there are concerns about 50 elevators per 100. The main reasons of elevator safety accidents are that elevator safety management mechanisms are not perfect, responsibility systems are imperfect, and management has problems of short boards, holes and the like. Moreover, the following exists in the industry: the information acquisition means is less, and the daily supervision difficulty is high; management means are aged, and emergency processing capacity is insufficient; the operation process information is opaque; the professional is not equipped enough; maintenance and protection market confusion and the like.
The internet of things is an extended and expanded network on the basis of the internet, various information sensing devices are combined with the internet to form a huge network, and the interconnection and intercommunication of people, machines and objects at any time and any place are realized. Monitoring object information is collected through various sensors to help a user to find problems in time. The method has the advantages that a high-sensitivity monitoring system basic environment is constructed, real-time, dynamic, interactive and fused information acquisition, transmission and processing are realized, people are helped to reasonably utilize resources, a series of problems of safe operation, management and the like of the elevator are more effectively solved, and accidents and casualties are avoided. Therefore, a real-time, dynamic, interactive and integrated internet of things elevator management system is urgently needed to be provided for carrying out fine management on a public elevator system.
The elevator supervision is more standardized, institutional and scientific while daily requirements are met, elevator faults are further reduced, and the speed and quality of solving problems after the faults occur are enhanced; the elevator safety information management system is driven by informatization, aims to comprehensively utilize information science, technology, decision and management method by advanced application technology application and development and construction mode innovation, improves the elevator safety information management level, and is beneficial to building an elevator safety emergency response system.
Disclosure of Invention
To solve the above existing problems. The invention provides an intelligent elevator management system method based on the Internet of things, which utilizes the characteristic that the Internet of things can enable countless devices to effectively communicate, takes an FPGA as a network layer controller, and utilizes the capability of the FPGA to process data in parallel at a high speed to acquire elevator state data acquired by a sensor of a sensing layer in real time. The network layer FPGA sends the received data to the PC through the wifi wireless communication module to analyze the data in real time, and sends an analysis result to the network layer FPGA, and the network layer FPGA makes a response according to actual conditions. The invention provides a method of an intelligent elevator management system based on the Internet of things, which is used for carrying out standardized, institutional and scientific management on a public van elevator and eliminating the potential safety hazard of the public van elevator, and aims to achieve the purpose, and the method comprises the following specific steps:
step 1: the network layer of the Internet of things of each building uses the FPGA as a controller, and uses the wifi wireless communication module as a wireless communication mode of the network layer and the platform layer;
step 2: the elevator intelligent management module is independently powered, and an acceleration sensor, a gyroscope sensor, a position sensor module, a human body infrared sensor, a gravity sensor module and the like are installed to monitor the state of each building elevator;
and step 3: an alarm module, a voice broadcast module and a stepping motor module are installed in the elevator as an actuating mechanism of a controller and a user output key;
and 4, step 4: the accuracy of the acceleration monitoring data of the elevator is important, but the tilt angle drifts due to the gyroscope. The accelerometer aliasing extra high-frequency vibration quantity interference, but the drift is small, and Kalman filtering is used for filtering the measurement data of the gyroscope and the accelerometer;
kalman filter recursion formula:
Figure BDA0002310942650000021
Figure BDA0002310942650000022
Hk＝Pk'Ck T(CkPk'Ck T(formula 3)
Pk'＝AkPk-1Ak T+Qk-1(formula 4)
Pk＝(I-HkCk)Pk' (formula 5)
The Kalman filter can be used for accurately obtaining the predicted value of the acceleration, and the real state of the elevator is measured;
the Kalman filter can be used for accurately obtaining the predicted value of the acceleration, and the real state of the elevator is measured.
Figure BDA0002310942650000023
As an acceleration estimate, AkIn order to be a matrix of the system gain,
Figure BDA0002310942650000024
predicted acceleration value, HkIs a Kalman gain matrix, ykAs actual measurement of acceleration, CkFor measuring the matrix, RkTo observe the noise variance, PkTo correct for the pre-mean square error, PkTo correct for post-mean square error, QkInputting noise for the system;
and 5: detecting whether the elevator is powered off or not, and if the elevator is powered off, detecting whether a person exists in the elevator by using the human body infrared module; if the person is present, an alarm is sounded to save the person;
step 6: if the elevator is not powered off, detecting whether the acceleration of the elevator normally runs by using an acceleration sensor, and if the acceleration is abnormal, stopping the elevator at a floor closest to the elevator;
and 7: if all the elevators are in normal states, the elevators operate normally.
As a further improvement of the invention, the controller of the network layer uses a Cyclone IV series FPGA chip of altera corporation.
The invention provides a method of an intelligent elevator management system based on the Internet of things, which is specifically designed as follows:
1. and the Internet of things system is used, so that the sensing equipment can effectively communicate to carry out real-time monitoring and scientific management on the state of the public elevator.
2. The method can perform intelligent processing according to the real-time state of the elevator, does not need special personnel to monitor the elevator in real time, and avoids resource waste.
3. The cloud platform can be used for monitoring the elevator system management of a plurality of buildings at the same time, so that great convenience is brought to users, and the cost is saved.
4. The sensors are independent, and the secondary development of the system is simple.
Drawings
Fig. 1 is a block diagram of an intelligent elevator management system based on the internet of things;
fig. 2 is a block diagram of an intelligent elevator management system based on the internet of things;
fig. 3 is a flow chart of an intelligent elevator management system based on the internet of things.
Detailed Description
The invention is described in further detail below with reference to the following detailed description and accompanying drawings:
the invention provides an intelligent elevator management system method based on the Internet of things, which utilizes the characteristic that the Internet of things can enable countless devices to effectively communicate, takes an FPGA as a network layer controller, and utilizes the capability of the FPGA to process data in parallel at a high speed to acquire elevator state data acquired by a sensor of a sensing layer in real time. The network layer FPGA sends the received data to the PC through the wifi wireless communication module to analyze the data in real time, and sends an analysis result to the network layer FPGA, and the network layer FPGA makes a response according to actual conditions. The public elevator car is subjected to standardized, institutional and scientific management, and potential safety hazards of the public elevator car are eliminated.
The invention relates to a method of an intelligent elevator management system based on the Internet of things, which mainly comprises a perception identification layer, a network construction layer, a platform management layer and an execution mechanism, wherein the structure diagram of the system is shown in figure 1. A sensor and an actuating mechanism are installed on an elevator of a public building, a network layer FPGA uses a wifi module to communicate with a cloud platform of a monitoring room, a system block diagram is shown in figure 2, the sensor comprises an acceleration sensor, a gyroscope sensor, a position sensor module, a human body infrared sensor, a gravity sensor module and the like, the accuracy of acceleration monitoring data of the elevator is important, but the gyroscope can cause inclination drift. The accelerometer aliases additional dither magnitude interference, but the drift is small. The gyroscope and accelerometer measurement data are filtered using kalman filtering.
Kalman filter recursion formula:
Figure BDA0002310942650000031
Figure BDA0002310942650000041
Hk＝Pk'Ck T(CkPk'Ck T(formula 3)
Pk'＝AkPk-1Ak T+Qk-1(formula 4)
Pk＝(I-HkCk)Pk' (formula 5)
The Kalman filter can be used for accurately obtaining the predicted value of the acceleration, and the real state of the elevator is measured.
An actuating mechanism is installed in the elevator cage, a monitoring room is installed in a study room, and the actuating mechanism comprises an alarm module, a voice broadcast module and a stepping motor module.
In the network layer, a first system of each building is included, an elevator system of each building is used as a network layer node, each network layer node receives data of a plurality of sensor nodes, the network layer nodes are mutually independent, and a sensor group of each elevator is used as a node of the network layer. Each node receives the data and packages the data into a data format as follows: frame head, address, valid data, check bit, frame tail, then send data to the cloud platform through wifi wireless communication module.
The controller of the network layer uses a Cyclone IV series FPGA chip of altera corporation, has high performance and low price, and can realize high-speed parallel processing of data by two technologies of concurrency and pipelining. The function of the network layer mainly comprises the wireless communication mode of utilizing the wifi wireless communication module as the network layer and the platform layer. And monitoring each elevator sub-node of the whole elevator management system in real time. Independently supplying power to an elevator intelligent management module, detecting whether the elevator is powered off or not as in a system working flow chart of fig. 3, and detecting whether a person exists in the elevator or not by using a human body infrared module if the elevator is powered off; if someone is present, an alarm is sounded to save the person. If the elevator is not powered off, an acceleration sensor is used for detecting whether the acceleration of the elevator runs normally or not, and if the acceleration is abnormal, the elevator is stopped at the floor closest to the elevator. If all the elevators are in normal states, the elevators operate normally. The accurate, scientific and real-time management of the user house is achieved.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the present invention in any way, but any modifications or equivalent variations made according to the technical spirit of the present invention are within the scope of the present invention as claimed.

Claims (2)

1. A method of an intelligent elevator management system based on the Internet of things comprises the following specific steps:
step 1: the network layer of the Internet of things of each building uses the FPGA as a controller, and uses the wifi wireless communication module as a wireless communication mode of the network layer and the platform layer;
step 2: the elevator intelligent management module is independently powered, and an acceleration sensor, a gyroscope sensor, a position sensor module, a human body infrared sensor, a gravity sensor module and the like are installed to monitor the state of each building elevator;
and step 3: an alarm module, a voice broadcast module and a stepping motor module are installed in the elevator as an actuating mechanism of a controller and a user output key;
and 4, step 4: the accuracy of the acceleration monitoring data of the elevator is important, but the tilt angle drifts due to the gyroscope. The accelerometer aliasing extra high-frequency vibration quantity interference, but the drift is small, and Kalman filtering is used for filtering the measurement data of the gyroscope and the accelerometer;
kalman filter recursion formula:
Figure FDA0002310942640000011
Figure FDA0002310942640000012
Hk＝Pk'Ck T(CkPk'Ck T(formula 3)
Pk'＝AkPk-1Ak T+Qk-1(formula 4)
Pk＝(I-HkCk)Pk' (formula 5)
Wherein the content of the first and second substances,
the Kalman filter can be used for accurately obtaining the predicted value of the acceleration, and the real state of the elevator is measured.
Figure FDA0002310942640000013
As an acceleration estimate, AkIn order to be a matrix of the system gain,
Figure FDA0002310942640000014
predicted acceleration value, HkIs a Kalman gain matrix, ykAs actual measurement of acceleration, CkFor measuring the matrix, RkTo observe the noise variance, PkTo correct for the pre-mean square error, PkTo correct for post-mean square error, QkInputting noise for the system;
the Kalman filter can be used for accurately obtaining the predicted value of the acceleration, and the real state of the elevator is measured;
and 5: detecting whether the elevator is powered off or not, and if the elevator is powered off, detecting whether a person exists in the elevator by using the human body infrared module; if the person is present, an alarm is sounded to save the person;
step 6: if the elevator is not powered off, detecting whether the acceleration of the elevator normally runs by using an acceleration sensor, and if the acceleration is abnormal, stopping the elevator at a floor closest to the elevator;
and 7: if all the elevators are in normal states, the elevators operate normally.
2. The method of the internet of things-based intelligent elevator management system according to claim 1, wherein: the controller of the network layer uses a Cyclone IV series FPGA chip of altera corporation.
CN201911258457.1A 2019-12-10 2019-12-10 Method of intelligent elevator management system based on Internet of things Pending CN110937479A (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112141846A (en) * 2020-09-29 2020-12-29 深圳市海和科技股份有限公司 Elevator based on MCU and wireless communication system
EP3945052A1 (en) * 2020-07-30 2022-02-02 Otis Elevator Company Multi-car elevator system with autonomous car movers configured for collision avoidance

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2004210506A (en) * 2003-01-07 2004-07-29 Toshiba Elevator Co Ltd Elevator control device
CN107555273A (en) * 2017-07-21 2018-01-09 浙江新再灵科技股份有限公司 The detection method of elevator operation is realized based on sensor
CN107572322A (en) * 2017-09-08 2018-01-12 深圳市智物联网络有限公司 A kind of lift facility management platform and lift facility management method
CN207511622U (en) * 2017-11-10 2018-06-19 珠海市安粤科技有限公司 A kind of elevator monitoring system based on Internet of Things and cloud service
JP2018111579A (en) * 2017-01-12 2018-07-19 フジテック株式会社 Portable terminal
JP2018167960A (en) * 2017-03-30 2018-11-01 フジテック株式会社 Information processing device

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2004210506A (en) * 2003-01-07 2004-07-29 Toshiba Elevator Co Ltd Elevator control device
JP2018111579A (en) * 2017-01-12 2018-07-19 フジテック株式会社 Portable terminal
JP2018167960A (en) * 2017-03-30 2018-11-01 フジテック株式会社 Information processing device
CN107555273A (en) * 2017-07-21 2018-01-09 浙江新再灵科技股份有限公司 The detection method of elevator operation is realized based on sensor
CN107572322A (en) * 2017-09-08 2018-01-12 深圳市智物联网络有限公司 A kind of lift facility management platform and lift facility management method
CN207511622U (en) * 2017-11-10 2018-06-19 珠海市安粤科技有限公司 A kind of elevator monitoring system based on Internet of Things and cloud service

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
蔡宜均等: "基于Zigbee和物联网的智能电梯系统设计", 《科技创新与应用》 *

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP3945052A1 (en) * 2020-07-30 2022-02-02 Otis Elevator Company Multi-car elevator system with autonomous car movers configured for collision avoidance
CN114057066A (en) * 2020-07-30 2022-02-18 奥的斯电梯公司 Multi-car elevator system with autonomous car mover configured for collision avoidance
CN112141846A (en) * 2020-09-29 2020-12-29 深圳市海和科技股份有限公司 Elevator based on MCU and wireless communication system

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Application publication date: 20200331