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Dynamic monitoring method of elevator traction mechanism based on big data

A technology of elevator traction and big data, applied in force/torque/power measuring instruments, elevators, measuring devices, etc., can solve difficult engineering operations, unsatisfactory, first torque current and second torque current It does not take into account the actual situation of the elevator and other issues, so as to make up for the inconvenience and inaccuracy

Active Publication Date: 2018-01-26
TIANJIN SPECIAL EQUIP INSPECTION INST
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] At present, the patent application publication number is CN104495547A discloses a detection method of elevator brake, but this detection method has some unsatisfactory places: 1. It is necessary to pre-set the critical value of traction machine brake torque, which is not easy for engineering practice operate
2. Every time a test is performed, a special person is required to be on duty, which increases the labor cost
[0006] The patent application publication number is CN104192662A discloses the detection method of elevator brake braking torque, but this detection method has some unsatisfactory places: 1. The values ​​of the first torque current and the second torque current have not taken into account The actual situation of the elevator, and at the same time, there is no personalized solution according to local conditions
2. The setting of the first torque current and the second torque current is complicated and not suitable for automatic operation

Method used

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  • Dynamic monitoring method of elevator traction mechanism based on big data

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Embodiment

[0046] Example: An elevator of a certain brand, the basic information is as follows: 6 floors and 6 stations, rated load capacity: 800kg, rated speed: 1m / s, rated power: 5kW, rated voltage: 380V, rated current: 12A, maximum protection of the inverter The power is 7.5kW.

[0047] According to the preset power monitoring program, the elevator starts the monitoring test at 2 o'clock in the morning on a certain day. If it is detected within 15 minutes that the traction machine of the elevator does not rotate, and the elevator does not open and close the door, it is considered that there are no passengers in the car, and the elevator will no longer In response to the outgoing call and internal selection signals, the door machine of the elevator is temporarily closed, and the door is not opened or closed, so as to ensure the continuity of the test.

[0048] The elevator runs at normal speed from the lowest floor to the second top floor, that is, the 5th floor, for preheating prepara...

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Abstract

The invention discloses a detection method for braking force of an elevator tractor based on big data. The detection method comprises the steps that an elevator operates for preheating; an elevator car stops at a secondary top floor; a brake is power off and holds a traction wheel; a frequency converter drives the tractor to operate under the condition that a contracting brake is not opened; the output power of the frequency converter is monitored; whether the tractor rotates or not is judged through an encoder; when the output power of the frequency converter does not reach Pmax, the encoder senses the moment when the tractor starts to rotate, the power value at the moment is recorded, and the power value is uploaded through the internet; the horizontal comparison is carried out; the longitudinal comparison is carried out; and the elevator continuously operates or the elevator stops for maintenance. The detection method has the beneficial effects that driving power of the frequency converter is an objective value for reflecting the performance of the tractor, and through the methods that the traction wheel is braked through the brake and the frequency converter drives the traction wheel to operate under the condition that the contracting brake is not opened, the driving power of the frequency converter describes and evaluates the braking force more objectively with the assistance of big data of the elevator, so that the defect that a critical value or a threshold value is required to be manually set is broken through, and an evaluation result has more engineering signification.

Description

technical field [0001] The invention relates to the field of elevator detection; in particular, it relates to an intelligent monitoring method for braking force of an elevator traction machine based on big data. Background technique [0002] More and more elevators have entered people's lives and gradually become an indispensable facility in people's daily production and life. It not only speeds up people's life rhythm, but also improves people's work efficiency and improves people's living conditions. It plays an irreplaceable important role in social and economic development, and is a special equipment directly related to the safety of people's lives and properties. The traction machine is one of the core components of the elevator. For the traction machine, the brake is one of its important components. The function of the brake is to keep the elevator car in a static state when the elevator is leveling; To enable the car to decelerate and stop in an emergency and keep it...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): B66B5/00G01L5/28
CPCB66B5/0037G01L5/28
Inventor 赵秋洪孙书成王寅凯马志诚郭福兴高鹏权基琢鋆杨阳赵聪吕英辉
Owner TIANJIN SPECIAL EQUIP INSPECTION INST
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