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Elevator self-diagnosis and pre-diagnosis system and method based on time-frequency transformation algorithm

A time-frequency conversion algorithm and self-diagnosis technology, applied in elevator self-diagnosis and pre-diagnosis system, elevator self-diagnosis and pre-diagnosis system based on time-frequency conversion algorithm, to achieve cost saving effect

Active Publication Date: 2016-12-14
GUANGZHOU GUANGRI ELEVATOR IND
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, most of the existing solutions are based on the self-diagnosis or remote monitoring system of the faults that have occurred. Even better solutions include automatic correction of some faults that have occurred, or remote cloud adjustment or technical guidance, but almost are solutions based on failures that have occurred

Method used

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  • Elevator self-diagnosis and pre-diagnosis system and method based on time-frequency transformation algorithm
  • Elevator self-diagnosis and pre-diagnosis system and method based on time-frequency transformation algorithm
  • Elevator self-diagnosis and pre-diagnosis system and method based on time-frequency transformation algorithm

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Embodiment 1

[0075] like figure 1 As shown, the elevator self-diagnosis and pre-diagnosis system of this embodiment includes a sensor and an elevator control system. The sensor can be integrated in the elevator control system or placed outside the elevator control system. In this embodiment, the sensor is placed outside the elevator control system. Outside the control system, the sensor is connected to the elevator control system through external wired or wireless communication, and obtains the running status data of the car by moving up and down with the car; among them:

[0076] The sensor is used to collect the running data of the current elevator and send the data to the elevator control system; the sensor includes a six-axis gyroscope and a weight sensor, so the current running data of the elevator includes the angular velocity of the elevator car collected by the six-axis gyroscope data, acceleration data, and elevator car weighing data collected by weight sensors.

[0077] Describe...

Embodiment 2

[0090] like figure 2 As shown, the elevator self-diagnosis and pre-diagnosis system in this embodiment includes a frequency converter and an elevator control system, the frequency converter is connected to the elevator control system, the frequency converter is set in the elevator control system, and the frequency converter is With the elevator control system, obtain the operation data or bottom state data of the elevator control system; among them:

[0091] The frequency converter is used to obtain the frequency conversion or logic data of the current elevator operation, such as the input and output current and voltage value of the main control board, the inductance value and temperature value of a specific module, and send the data to the elevator control system;

[0092] Described elevator control system comprises data conversion module, data fusion module, judgment module, abnormal analysis module, abnormal / fault elimination module and abnormal / fault information sending m...

Embodiment 3

[0105] like image 3 As shown, the elevator self-diagnosis and pre-diagnosis method of the present embodiment is realized by the sensor and the elevator control system, including the following steps:

[0106] S1, the sensor collects the running data of the current elevator (such as the angular velocity data, acceleration data and weighing data of the elevator car), and sends the data to the elevator control system;

[0107] S2. The elevator control system converts the data from the time domain to the frequency domain through a time domain-frequency domain conversion algorithm;

[0108] S3. The elevator control system continuously self-learns the collected frequency-domain eigenvalues ​​or characteristic curves through an intelligent fusion algorithm, and narrows the deviation range of the frequency-domain eigenvalues ​​or characteristic curves, and then optimizes the frequency-domain eigenvalues Or characteristic curves are combined or assembled to obtain the frequency domain...

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Abstract

The invention discloses an elevator self-diagnosis and pre-diagnosis system and method based on a time-frequency transformation algorithm. The elevator self-diagnosis and pre-diagnosis system comprises a sensor and an elevator control system or comprises a frequency converter and an elevator control system. The sensor is connected with the elevator control system. The frequency converter is connected with the elevator control system. The elevator control system comprises a data conversion module, a data fusion module, a judgment module, an anomaly analysis module, an anomaly / fault clearance module and an anomaly / fault information sending module. According to the elevator self-diagnosis and pre-diagnosis system and method, labor cost of a company is reduced greatly, the number of times of elevator stopping is reduced, and the experience of passengers and elevator usage efficiency are improved. Meanwhile, due to the fact that the problem of an anomaly or a fault is solved through pre-diagnosis, the technical content of products of the company is increased greatly, industrial competitiveness is promoted, and the condition that the company conducts popularization and brand establishment on the elevator products is facilitated.

Description

technical field [0001] The invention relates to an elevator self-diagnosis and pre-diagnosis system and method, in particular to an elevator self-diagnosis and pre-diagnosis system and method based on a time-frequency conversion algorithm, belonging to the technical field of elevator diagnosis. Background technique [0002] Due to the continuous development of IT technology this year, the computing power of computers or processors is getting stronger and stronger, and the space and methods of data storage are also expanding. At the same time, due to the continuous transparency of information and the continuous improvement of social attention, now the The safety and stability of the elevator system put forward higher requirements. With the intensification of competition in the industry and the continuous improvement of the technical level in the industry, we also need to propose higher elevator control and optimization technologies to enhance the company's industry competitiv...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): B66B5/00B66B5/02
CPCB66B5/0018B66B5/0037B66B5/02
Inventor 林穗贤何智超聂益波黎庆发黄棣华
Owner GUANGZHOU GUANGRI ELEVATOR IND
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