A detection and early warning method for an elevator online safety detection and early warning device

Abstract

The invention relates to an online safety detection prewarning device of an elevator. The device comprises a car prewarning device and a machine room prewarning device, wherein the car prewarning device consists of a first sensing unit, a first acquiring unit, a first processing unit and a first near field communication unit; the machine room prewarning device consists of a second sensing unit, a second acquiring unit, a second processing unit and a second near field communication unit; the first near field communication unit and the second near field communication unit are in wireless communication; and the second processing unit is remotely communicated with a remote platform through a remote communication gateway. The invention further discloses an online safety detection prewarning method of the elevator. The device adopts a probability neural network algorithm; and the algorithm enables measured characteristic parameter thresholds to continuously self-learn, self-adapt and self-adjust along with such conditions as elevator ageing degree, maintenance condition and load magnitude, so that the wrong judgment or judgment missing probability is largely reduced, and the long-time use reliability and accuracy of a prewarning function of the device are improved.

Description

technical field [0001] The invention relates to the technical field of elevator detection, in particular to a detection and early warning method for an elevator online safety detection and early warning device. Background technique [0002] With the implementation of the national urbanization strategy and the shortage of land resources, and the increase of high-rise buildings, people rely more and more on elevators. Elevators have become one of the indispensable public transportation tools in modern social life. The safety of elevators It has also become the focus of public attention. When the elevator is at its busiest, it can start and brake more than 200 times per hour. It is difficult to ensure the safety of such a frequent moving means of transportation only by regular or irregular monitoring by the inspection agency and maintenance by the maintenance unit every 15 days. Sexuality, because routine inspection and regular maintenance can only detect the condition of the ...

AI Technical Summary

Problems solved by technology

There are also some active early warning technologies in advance, which try to warn before failures or accidents occur. However, there is no unified standard for early warning and failure judgment on elevator traction machine, elevator car vibration and noise at home and abroad. Due to the elevator brand, model, installation Unified standards cannot be established for reasons such as aging and aging, and the normal range of detection parameters cannot be specified by standards.

In addition, the existing active early warning technology needs to establish normal or faulty sample data in advance as the basis for judgment, but these sample data are constantly changing with the aging degree, maintenance status, load size, etc. of the elevator, so long-term use of these samples is inevitable. It will cause misjudgment or missed judgment, and the establishment of sample data for each elevator also consumes a lot of manpower, material resources, financial resources and time, and the implementation is very difficult

In addition, in order to avoid misjudgments or missed judgments, the sample data needs to be updated, which in turn will lead to resource consumption.

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