CN111689317A - Method for automatically identifying elevator floors by system - Google Patents
Method for automatically identifying elevator floors by system Download PDFInfo
- Publication number
- CN111689317A CN111689317A CN202010567443.4A CN202010567443A CN111689317A CN 111689317 A CN111689317 A CN 111689317A CN 202010567443 A CN202010567443 A CN 202010567443A CN 111689317 A CN111689317 A CN 111689317A
- Authority
- CN
- China
- Prior art keywords
- elevator
- data
- floor
- floors
- data acquisition
- 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.)
- Pending
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
- B66B1/34—Details, e.g. call counting devices, data transmission from car to control system, devices giving information to the control system
- B66B1/3492—Position or motion detectors or driving means for the detector
-
- 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
Landscapes
- Engineering & Computer Science (AREA)
- Automation & Control Theory (AREA)
- Computer Networks & Wireless Communication (AREA)
- Indicating And Signalling Devices For Elevators (AREA)
- Maintenance And Inspection Apparatuses For Elevators (AREA)
Abstract
The invention relates to the technical field of research and development of an elevator Internet of things system, in particular to a method for automatically identifying elevator floors by a system, wherein an elevator is operated to all floors; detecting by using an attitude sensor; and the human-computer interaction module of the background monitoring system is used for initializing and storing the data read by each layer into a configuration file through the data read by the data acquisition assembly, and the configuration file is stored in the data storage module of the background monitoring system or the data acquisition assembly. When the elevator normally operates, the data in the data acquisition assembly is read by the background monitoring system and then is compared with the analog quantity or switching value state data in the configuration file, and the number of floors corresponding to the elevator can be obtained. The invention has the advantages that: the monitoring of general attitude parameters can be realized through the cooperation of the attitude sensors, the number of floors of a floor is identified by the system according to the existing parameter data, and whether the running state of the elevator is in fault or not can be judged according to the feedback state data information.
Description
Technical Field
The invention relates to the technical field of research and development of an elevator internet of things system, in particular to a method for automatically identifying elevator floors by the system.
Background
With the development of social economy and the acceleration of urbanization process, more and more middle-high-rise buildings are built in domestic towns or under construction, the development of the elevator industry is also rapidly advanced, and the high-speed development of the elevator Internet of things is brought. The invention provides an operation data acquisition attitude sensor based on the Internet of things of an elevator, which can accurately and abundantly acquire real-time operation data of the elevator under the condition of not influencing the operation of the elevator at all and is suitable for elevators of all models.
The acquisition scheme of the attitude sensor has the following sensing parameters: the time, the acceleration, the angular velocity, the angle, the magnetic field, the port state, the air pressure, the temperature, the height, the speed, the floor and the like are the most advanced and precise composite sensors in the Internet of things industry at present. At present, the data acquisition equipment of the internet of things of the elevator on the market can acquire data respectively only by sensors of a plurality of different types if all parameters are acquired. Floor information and elevator speed are two key indexes in elevator safety detection, and a large amount of elevator fault information judgment bases are based on the two indexes. To gathering elevator floor information, most collection scheme on the market is for installing flat layer photoelectric sensor additional on elevator cab flat bed device, but owing to there is some elevator cab not flat bed device, so flat layer photoelectric sensor can't be installed additional to this type elevator, and flat layer photoelectric sensor need move the highest floor through the elevator after equipment restarts to come the calibration floor information to the highest floor, so there is the unable circumstances of guaranteeing of floor information accuracy. And another kind of magnetic sensor's scheme can be applicable to the sedan-chair top and do not have elevator floor information acquisition of flat bed device, its principle is at the sedan-chair top and installs magnetic sensor additional, the magnetic stripe of floor gathers on the response guide rail, the defect of this scheme lies in that the magnetic stripe on magnetic sensor and the guide rail is required to closely contact and just can sense the flat bed, the condition of magnetism disappearance appears in the magnetic stripe easily, lead to gathering floor information disappearance, and test magnetic stripe magnetism also has brought great inconvenience for the installer with repairing invalid magnetic stripe, can't guarantee completely simultaneously that magnetic sensor does not have the influence to the elevator operation.
Disclosure of Invention
It is an object of the present invention to overcome at least one of the above-mentioned drawbacks of the prior art by providing a system for automatically identifying elevator floors.
In order to solve the technical problems, the invention adopts the following technical scheme: a method for automatically identifying elevator floors of a system comprises the steps that an attitude sensor used for detecting state information of each floor is arranged on the top of an elevator car, an attitude sensor assembly and a data acquisition assembly are connected with the attitude sensor assembly through a first communication link, the attitude sensor feeds analog quantity or switching value data back to the data acquisition assembly through communication, the data acquisition assembly is connected with a background control system through a second communication link and feeds the analog quantity or switching value data back to a background monitoring system, and the method comprises the following steps:
(1) running the elevator to all running floors;
(2) the analog quantity or switching value state data detected by the attitude sensor during the corresponding floor of operation are fed back to the data acquisition assembly;
(3) the data read by each layer read by the data acquisition component is initialized and stored into a configuration file by the human-computer interaction module of the background monitoring system, the stored data comprises the layer number and corresponding analog quantity or switching value state data, and the configuration file is stored in the data storage module of the background monitoring system or the data acquisition component.
(4) After the configuration is completed, the data in the data acquisition assembly is read by the background monitoring system after the elevator normally runs, and then the data is compared with the analog quantity or switching value state data in the configuration file, so that the corresponding floor number of the elevator can be obtained.
Preferably, the calibration point is set on the first floor as a calibration floor, when the elevator runs to the calibration floor, the analog quantity or switching value state data detected by the attitude sensor at the moment is triggered to be at the default height, then the elevator is lifted layer by layer to run to other corresponding floors, and the data is stored in the configuration file.
Preferably, the human-computer interaction module is arranged on a mobile terminal device, and the mobile terminal device and the background monitoring system are configured to operate in a communication mode.
Preferably, the attitude sensor assembly comprises a communication circuit for communicating with an upper computer, a power supply circuit for supplying power to the processor or the sensor detection assembly, and a sensor detection assembly for detecting the floor state data.
Preferably, the sensor detection assembly comprises any one or combination of a three-axis gyroscope, a three-axis magnetometer, a barometer and a thermometer.
Preferably, the first communication circuit and the second communication circuit are modbus communication links or ethernet communication links.
Preferably, the data acquisition assembly comprises a quaternion conversion module for converting the read attitude sensor analog quantity information into quaternion output.
Preferably, an euler angle conversion module is further provided for converting the quaternion converted by the quaternion conversion module into an euler angle output.
Compared with the prior art, the beneficial effects are: through the cooperation of the attitude sensor, the monitoring of general attitude parameters can be realized, the number of floors of a floor is identified by the system according to the existing parameter data, whether the running state of the elevator breaks down or not can be judged according to the fed-back state data information, the detection system is convenient to configure and easy to use, the detection system does not depend on independent hardware provided with the magnetic sensor, and the accuracy of the whole detection result is good.
Drawings
Fig. 1 presents a diagrammatic illustration of the identification process of a monitoring system of an elevator.
Detailed Description
The drawings are for illustrative purposes only and are not to be construed as limiting the patent; for the purpose of better illustrating the embodiments, certain features of the drawings may be omitted, enlarged or reduced, and do not represent the size of an actual product; it will be understood by those skilled in the art that certain well-known structures in the drawings and descriptions thereof may be omitted. The positional relationships depicted in the drawings are for illustrative purposes only and are not to be construed as limiting the present patent.
Example 1: referring to fig. 1, a method for automatically identifying elevator floors by a system includes the steps of arranging an attitude sensor for detecting state information of each floor on the top of an elevator car, arranging an attitude sensor assembly and a data acquisition assembly connected with the attitude sensor assembly through a first communication link, feeding analog quantity or switching value data back to the data acquisition assembly through communication by the attitude sensor, establishing a connection with a background control system through a second communication link by the data acquisition assembly, feeding the analog quantity or switching value data back to a background monitoring system, and including the following steps:
(1) running the elevator to all running floors;
(2) the analog quantity or switching value state data detected by the attitude sensor during the corresponding floor of operation are fed back to the data acquisition assembly;
(3) the data read by each layer read by the data acquisition component is initialized and stored into a configuration file by the human-computer interaction module of the background monitoring system, the stored data comprises the layer number and corresponding analog quantity or switching value state data, and the configuration file is stored in the data storage module of the background monitoring system or the data acquisition component.
(4) After the configuration is completed, the data in the data acquisition assembly is read by the background monitoring system after the elevator normally runs, and then the data is compared with the analog quantity or switching value state data in the configuration file, so that the corresponding floor number of the elevator can be obtained.
Preferably, the calibration point is set on the first floor as a calibration floor, when the elevator runs to the calibration floor, the analog quantity or switching value state data detected by the attitude sensor at the moment is triggered to be at the default height, then the elevator is lifted layer by layer to run to other corresponding floors, and the data is stored in the configuration file.
Preferably, the calibration point is set on the top floor as a calibration floor, when the elevator runs to the calibration floor, the analog quantity or switching value state data detected by the attitude sensor at the moment is triggered to be at the default height, then the elevator is reduced layer by layer to run to other corresponding floors, and the data is stored in the configuration file.
In the above embodiment, the human-computer interaction module may be disposed on a mobile terminal device, such as a mobile phone, a notebook computer, a tablet computer, etc., and the same expected effect can be achieved by performing operation configuration on the mobile phone, the notebook computer, the tablet computer, and the background monitoring system in a manner of communicating with the background monitoring system through the mobile phone, the notebook computer, the tablet computer, etc.
Preferably, the attitude sensor subassembly including be used for with the communication circuit of host computer communication, a power supply circuit for supplying power to treater or sensor detection subassembly, a sensor detection subassembly for detecting floor state data, based on this embodiment, power supply circuit can be for communication circuit and treater, the power supply of sensor detection subassembly, analog quantity or switching value information feedback to the treater that detects by sensor detection subassembly, and the communication circuit through host computer communication after being handled by the treater feeds back to rather than being connected like data acquisition subassembly through communication line communication and gathers the monitoring.
Preferably, the sensor detection assembly includes any one or a combination of more than one of a three-axis gyroscope, a three-axis magnetometer, a barometer and a thermometer, and is not limited to the above monitoring sensors, and may also be an analog quantity monitoring or switching quantity monitoring sensor additionally arranged according to system requirements, and specifically, as a sensor conventionally applied to elevator system monitoring, the sensor may be reasonably arranged in the attitude sensor.
Preferably, the first communication circuit and the second communication circuit are modbus communication links or ethernet communication links, specifically, the communication links are not limited to the above communication links, and may also be CDT, 101, 102, 61850 or other communication links with non-public protocols, which can achieve the expected communication effect.
Preferably, in a preferred embodiment, in order to further feed back the operation state of the elevator and effectively prevent the operation risk and failure of the elevator, the data acquisition assembly includes a quaternion conversion module for converting the read analog quantity information of the attitude sensor into quaternion output.
Preferably, in a preferred embodiment, in order to further feed back the operation state of the elevator and effectively prevent the operation risk and failure of the elevator, an euler angle conversion module is further provided, and is used for converting the quaternion converted by the quaternion conversion module into an euler angle for output.
The quaternion conversion module and the Euler angle conversion module can be configured in a background monitoring system, the overall effect is similar, the read data can be compared with expected normal or abnormal parameters in the background monitoring system, the current running state of the elevator can be reflected to be fault or normal, and fault information used for judging whether the elevator is overspeed, abnormally moved, rushed to the top, squat to the bottom and the like can be further realized by matching different sensors so as to better feed the fault information to the background monitoring system for real-time monitoring and acquisition.
It should be understood that the above-described embodiments of the present invention are merely examples for clearly illustrating the present invention, and are not intended to limit the embodiments of the present invention. Other variations and modifications will be apparent to persons skilled in the art in light of the above description. And are neither required nor exhaustive of all embodiments. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention should be included in the protection scope of the claims of the present invention.
Claims (8)
1. A method for automatically identifying elevator floors of a system comprises the steps that an attitude sensor used for detecting state information of each floor is arranged on the top of an elevator car, an attitude sensor assembly and a data acquisition assembly are connected with the attitude sensor assembly through a first communication link, the attitude sensor feeds analog quantity or switching value data back to the data acquisition assembly through communication, the data acquisition assembly is connected with a background control system through a second communication link and feeds the analog quantity or switching value data back to a background monitoring system, and the method comprises the following steps:
(1) running the elevator to all running floors;
(2) the analog quantity or switching value state data detected by the attitude sensor during the corresponding floor of operation are fed back to the data acquisition assembly;
(3) the method comprises the steps that a human-computer interaction module of a background monitoring system initializes and stores data read by each layer into a configuration file through data read by a data acquisition assembly, the stored data comprises the number of layers and corresponding analog quantity or switching value state data, and the configuration file is stored in a data storage module of the background monitoring system or the data acquisition assembly;
(4) after the configuration is completed, the data in the data acquisition assembly is read by the background monitoring system after the elevator normally runs, and then the data is compared with the analog quantity or switching value state data in the configuration file, so that the corresponding floor number of the elevator can be obtained.
2. A method for automatically identifying elevator floors according to claim 1, wherein: setting a calibration point on the first floor as a calibration floor, triggering analog quantity or switching value state data detected by the attitude sensor at the moment as a default height when the elevator runs to the calibration floor, then lifting the elevator layer by layer to run to other corresponding floors, and storing the data into a configuration file.
3. A method for automatically identifying elevator floors according to claim 1, wherein: the man-machine interaction module is arranged on a movable terminal device, and the movable terminal device and the background monitoring system are operated and configured in a communication mode.
4. A method for automatically identifying the floors of an elevator by a system according to claim 1, 2 or 3, characterized in that: the attitude sensor assembly comprises a communication circuit used for communicating with an upper computer, a power supply circuit used for supplying power to the processor or the sensor detection assembly, and a sensor detection assembly used for detecting the floor state data.
5. The method of claim 4, wherein the system automatically identifies the elevator floor by: the sensor detection assembly comprises any one or combination of a triaxial gyroscope, a triaxial magnetometer, a barometer and a thermometer.
6. The method of claim 4, wherein the system automatically identifies the elevator floor by: the first communication circuit and the second communication circuit are modbus communication links or Ethernet communication links.
7. The method of claim 4, wherein the system automatically identifies the elevator floor by: the data acquisition assembly comprises a quaternion conversion module which is used for converting the read attitude sensor analog quantity information into quaternion and outputting the quaternion.
8. A method for automatically identifying elevator floors according to claim 7, wherein: and the Euler angle conversion module is also arranged and used for converting the quaternion converted by the quaternion conversion module into Euler angles to be output.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010567443.4A CN111689317A (en) | 2020-06-19 | 2020-06-19 | Method for automatically identifying elevator floors by system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010567443.4A CN111689317A (en) | 2020-06-19 | 2020-06-19 | Method for automatically identifying elevator floors by system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111689317A true CN111689317A (en) | 2020-09-22 |
Family
ID=72482249
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010567443.4A Pending CN111689317A (en) | 2020-06-19 | 2020-06-19 | Method for automatically identifying elevator floors by system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111689317A (en) |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105293233A (en) * | 2015-10-21 | 2016-02-03 | 上海智显光电科技有限公司 | Novel elevator storey and up-down direction detection method and device |
| EP3002245A2 (en) * | 2015-10-05 | 2016-04-06 | Raw Tech, S.L. | Recognition and transmission system of the status and position of a lift cabin |
| CN207810974U (en) * | 2018-01-05 | 2018-09-04 | 揭阳市聆讯软件有限公司 | A kind of elevator monitoring system |
| CN111056394A (en) * | 2019-12-24 | 2020-04-24 | 福建快科城建增设电梯股份有限公司 | Digital car vibration detection system and method thereof |
-
2020
- 2020-06-19 CN CN202010567443.4A patent/CN111689317A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP3002245A2 (en) * | 2015-10-05 | 2016-04-06 | Raw Tech, S.L. | Recognition and transmission system of the status and position of a lift cabin |
| CN105293233A (en) * | 2015-10-21 | 2016-02-03 | 上海智显光电科技有限公司 | Novel elevator storey and up-down direction detection method and device |
| CN207810974U (en) * | 2018-01-05 | 2018-09-04 | 揭阳市聆讯软件有限公司 | A kind of elevator monitoring system |
| CN111056394A (en) * | 2019-12-24 | 2020-04-24 | 福建快科城建增设电梯股份有限公司 | Digital car vibration detection system and method thereof |
Non-Patent Citations (1)
| Title |
|---|
| 佘涛等: "西门子S7-1200PLC在电梯运行控制系统中的应用设计", 《自动化技术与应用》 * |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN206292271U (en) | A kind of module battery core device for detecting positive and negative electrodes | |
| CN100529672C (en) | Information inspecting controller based on sensor and its inspection | |
| CN111377325B (en) | System and method for enhancing elevator sensor operation | |
| CN107544366B (en) | Method for collecting and processing signals of redundant sensors in automatic control system | |
| CN105606300A (en) | Battery-powered multi-dimensional force strain sensor fault diagnosis system | |
| CN101353125A (en) | Safety monitoring system of elevator | |
| CN109573772A (en) | A kind of universal elevator health degree assessment system | |
| CN107055245A (en) | A kind of elevator method of real-time and device | |
| CN108382937A (en) | A kind of hoistway door automatic testing method | |
| CN101891125B (en) | Device and method for detecting deviation of superlift counterweight of crane | |
| CN111689317A (en) | Method for automatically identifying elevator floors by system | |
| CN106882060A (en) | A kind of intelligent charging spot system | |
| CN110371814A (en) | A kind of elevator operation monitoring system and elevator operational monitoring method | |
| CN206384672U (en) | Parameters of elevator run Intelligent self-diagnosis device | |
| CN108217375A (en) | Elevator safety monitoring system based on PLC | |
| CN115594045A (en) | Monitoring auxiliary system and method suitable for elevator maintenance operation | |
| CN207108160U (en) | A kind of elevator data acquisition system | |
| CN206407773U (en) | A kind of elevator detection means | |
| CN106379323B (en) | A kind of vehicle control system | |
| CN201952074U (en) | Weighing control system for elevator | |
| CN107741822A (en) | A kind of locomotive networkization braking display screen and control method | |
| CN102942113A (en) | Automatic recognizing system of object hoisting of overhead travelling crane | |
| CN207304035U (en) | Multi-rotor unmanned aerial vehicle charging system | |
| CN108873100A (en) | A kind of seat occupancy detection device and method | |
| CN216670558U (en) | Operation processing circuit for elevator and all-in-one machine |
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 |