CN111003619A - Data acquisition method - Google Patents
Data acquisition method Download PDFInfo
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- CN111003619A CN111003619A CN201911074633.6A CN201911074633A CN111003619A CN 111003619 A CN111003619 A CN 111003619A CN 201911074633 A CN201911074633 A CN 201911074633A CN 111003619 A CN111003619 A CN 111003619A
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- data
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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
- B66B5/0031—Devices monitoring the operating condition of the elevator system for safety reasons
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- Indicating And Signalling Devices For Elevators (AREA)
Abstract
The invention provides a data acquisition method, which comprises the following steps: the method comprises the following steps: powering on a light curtain, and initializing the light curtain; the light curtain initialization comprises: initializing the MCU; initializing a sensor; initializing a communication module; step two: the sensor collects a plurality of data and stores the data in a main data container; step three: when the main data container accumulatively receives N data, transmitting the N data to a primary data container; step four: carrying out variance operation on the N data of the first data container, and if the obtained result is greater than or equal to a preset value, transmitting the result to a database through the communication module; if the data is less than the preset value, all data is discarded. The elevator operation data can be acquired in real time without additionally installing an acquisition device and an acquisition system, and the elevator operation data acquisition method is convenient and quick.
Description
Technical Field
The invention relates to the technical field of elevators, in particular to a data acquisition method.
Background
In recent years, high-rise buildings in large and medium-sized cities are gradually increased, the quantity of elevators is increased, and the problems of safety, stability and the like of the elevators come after, so how to find and solve the problems as early as possible becomes the primary problem.
The internet of things is also applied to more and more scenes as a popular technology. If the internet of things technology is applied to an elevator scene, the operation data of the elevator is collected in real time, and the safety of the elevator is greatly improved. If the data is further mined, the elevator early warning function can be achieved.
The existing elevator has the problems and hidden dangers that the elevator is not set with real-time state information, the condition of the elevator cannot be known in time, the working conditions of the elevator every day such as door opening and closing times, up-down formal speed and the like cannot be recorded, and the possible problems and hidden dangers of the elevator cannot be better predicted and found.
Disclosure of Invention
The invention aims to provide a data acquisition method which can record the running state information of an elevator in real time without additionally installing an acquisition device and an acquisition system.
In order to achieve the purpose, the technical scheme adopted by the invention is as follows: a method of data acquisition, comprising:
the method comprises the following steps: powering on a light curtain, and initializing the light curtain; the light curtain initialization comprises: initializing the MCU; initializing a sensor; initializing a communication module;
step two: the sensor collects a plurality of data and stores the data in a main data container;
step three: when the main data container accumulatively receives N data, transmitting the N data to a primary data container; n is a positive integer;
step four: carrying out variance operation on the N data of the first data container, and if the obtained result is greater than or equal to a preset value, transmitting the result to a database through the communication module; if the data is less than the preset value, all data is discarded.
Further, in the data acquisition method, when the fourth step is executed, the main data container continues to receive the data acquired by the sensor, and when N data are accumulatively received, the N data are transmitted to the secondary data container; carrying out variance operation on the N data of the second data container, and if the obtained result is greater than or equal to a preset value, transmitting the result to a database through the communication module; if the data is less than the preset value, all data is discarded.
Further, in the data acquisition method, the sensor includes a three-axis acceleration sensor.
Further, in the data acquisition method, the communication module is a narrowband internet of things.
Further, in the data acquisition method, the communication module is a global system for mobile communications.
Compared with the prior art, the invention has the advantages that: the elevator operation data can be acquired in real time without additionally installing an acquisition device and an acquisition system, and the elevator operation data acquisition method is convenient and quick.
Drawings
Fig. 1 is a flow chart of a data acquisition method according to the present invention.
Detailed Description
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following description will be made with reference to the accompanying drawings. It is obvious that the drawings in the following description are only some examples of the invention, and that for a person skilled in the art, other drawings and embodiments can be derived from them without inventive effort.
For the sake of simplicity, the drawings only schematically show the parts relevant to the present invention, and they do not represent the actual structure as a product. In addition, in order to make the drawings concise and understandable, components having the same structure or function in some of the drawings are only schematically illustrated or only labeled. In this document, "one" means not only "only one" but also a case of "more than one".
As shown in fig. 1, the present invention provides a data acquisition method, including the following steps:
the method comprises the following steps: powering on a light curtain, and initializing the light curtain; the light curtain initialization comprises: initializing the MCU; initializing a sensor; initializing a communication module;
in this step, the light curtain is loaded into the elevator and then powered up, and the light curtain enters the initialization process. In this embodiment, the sensor includes a three-axis acceleration sensor, and in other embodiments, the sensor may further include: a vibration sensor, a temperature and humidity sensor, etc.
Further, in this embodiment, the communication module employs a narrowband internet of Things (NB-IoT); in another embodiment of the present invention, the communication module employs a Global System for Mobile Communications (GSM).
Step two: the sensor collects a plurality of data and stores the data in a main data container;
step three: when the main data container accumulatively receives N data, transmitting the N data to a primary data container;
in this step, the primary data container is not immediately transmitted to the database upon receiving the data, but is uniformly transmitted to the database after accumulating to a certain amount. In this embodiment, N is 100, that is, when the main data container receives 100 accumulated data, the data will be transmitted to the first data container;
step four: carrying out variance operation on the N data of the first data container, and if the obtained result is greater than or equal to a preset value, transmitting the result to a database through the communication module; if the data is less than the preset value, all the data is discarded.
Specifically, in this embodiment, variance operation is performed on 100 data, if the obtained result is greater than or equal to 50, it is determined to be valid, and the result is transmitted to the database through the communication module, and if the obtained result is less than 50, the 100 data are discarded together.
Further, in the data acquisition method, when the fourth step is executed, the main data container continues to receive the data acquired by the sensor, and when N data are accumulatively received, the N data are transmitted to the secondary data container; performing method operation on the N data of the first data container, and if the obtained result is greater than or equal to a preset value, transmitting the result to a database through the communication module; if the data is less than the preset value, all data is discarded.
Furthermore, the second data container is set because when the first data container transmits data, if a network failure or transmission error occurs, subsequent data acquisition, reception and transmission are not affected. Similarly, if the first data container and the second data container are not completely transmitted, a third data container, a fourth data container, etc. can be established.
In conclusion, the elevator operation data can be acquired in real time without additionally installing an acquisition device and an acquisition system, and the method is convenient and rapid.
The above description is only a preferred embodiment of the present invention, and does not limit the present invention in any way. It will be understood by those skilled in the art that various changes, substitutions and alterations can be made herein without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (5)
1. A method of data acquisition, comprising:
the method comprises the following steps: powering on a light curtain, and initializing the light curtain; the light curtain initialization comprises: initializing the MCU; initializing a sensor; initializing a communication module;
step two: the sensor collects a plurality of data and stores the data in a main data container;
step three: when the main data container accumulatively receives N data, transmitting the N data to a primary data container; n is a positive integer;
step four: carrying out variance operation on the N data of the first data container, and if the obtained result is greater than or equal to a preset value, transmitting the result to a database through the communication module; if the data is less than the preset value, all data is discarded.
2. The data collection method of claim 1, wherein in step four, the primary data container continues to receive data collected by the sensor, and when N data are cumulatively received, the N data are transmitted to the secondary data container; carrying out variance operation on the N data of the second data container, and if the obtained result is greater than or equal to a preset value, transmitting the result to a database through the communication module; if the data is less than the preset value, all data is discarded.
3. The data acquisition method of claim 1 wherein the sensor comprises a three-axis acceleration sensor.
4. The data acquisition method of claim 1, wherein the communication module is a narrowband internet of things.
5. The data collection method of claim 1, wherein the communication module is a global system for mobile communications.
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CN201911074633.6A CN111003619A (en) | 2019-11-06 | 2019-11-06 | Data acquisition method |
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CN201911074633.6A CN111003619A (en) | 2019-11-06 | 2019-11-06 | Data acquisition method |
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Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN202583837U (en) * | 2012-03-31 | 2012-12-05 | 长安大学 | Bridge health monitoring data collection and analysis device |
CN105565099A (en) * | 2015-12-24 | 2016-05-11 | 浙江工商大学 | Elevator detecting method and system |
EP3517472A1 (en) * | 2017-11-28 | 2019-07-31 | Otis Elevator Company | System for processing pressure sensor data |
CN110082805A (en) * | 2019-04-26 | 2019-08-02 | 杭州鸿泉物联网技术股份有限公司 | A kind of 3 D locating device and method |
CN110294379A (en) * | 2019-06-21 | 2019-10-01 | 南京朗得科技有限公司 | A kind of lift car ambient intelligence remote monitoring system and its monitoring method |
CN110321954A (en) * | 2019-07-03 | 2019-10-11 | 中汽研(天津)汽车工程研究院有限公司 | The driving style classification and recognition methods of suitable domestic people and system |
CN110382390A (en) * | 2017-03-24 | 2019-10-25 | 通力股份公司 | A kind of method and elevator for automatic elevator status checkout |
-
2019
- 2019-11-06 CN CN201911074633.6A patent/CN111003619A/en active Pending
Patent Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN202583837U (en) * | 2012-03-31 | 2012-12-05 | 长安大学 | Bridge health monitoring data collection and analysis device |
CN105565099A (en) * | 2015-12-24 | 2016-05-11 | 浙江工商大学 | Elevator detecting method and system |
CN110382390A (en) * | 2017-03-24 | 2019-10-25 | 通力股份公司 | A kind of method and elevator for automatic elevator status checkout |
EP3517472A1 (en) * | 2017-11-28 | 2019-07-31 | Otis Elevator Company | System for processing pressure sensor data |
CN110082805A (en) * | 2019-04-26 | 2019-08-02 | 杭州鸿泉物联网技术股份有限公司 | A kind of 3 D locating device and method |
CN110294379A (en) * | 2019-06-21 | 2019-10-01 | 南京朗得科技有限公司 | A kind of lift car ambient intelligence remote monitoring system and its monitoring method |
CN110321954A (en) * | 2019-07-03 | 2019-10-11 | 中汽研(天津)汽车工程研究院有限公司 | The driving style classification and recognition methods of suitable domestic people and system |
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Application publication date: 20200414 |