INTELLIGENT RELIABILITY EVALUATION AND SERVICE LIFE PREDICTION METHOD FOR KILOMETER DEEP WELL HOIST BRAKE

    公开(公告)号:US20230169471A1

    公开(公告)日:2023-06-01

    申请号:US17919285

    申请日:2021-02-23

    CPC classification number: G06Q10/20

    Abstract: An intelligent reliability evaluation and service life prediction method for a kilometer deep well hoist brake, the method including: the establishment of a digital twin model for a hoist brake, data acquisition and synchronization, and reliability evaluation and service life prediction, wherein the digital twin model for the hoist brake can accurately reflect actual physical characteristics of the hoist brake, the data acquisition and synchronization can realize real-time mapping between a physical entity of the hoist brake and the digital twin model therefor, and furthermore, on the basis of the digital twin model for the hoist brake, the reliability evaluation and service life prediction are realized. Digital twin technology is combined with a reliability analysis method, so that real-time updating of reliability evaluation and service life prediction of the hoist brake are realized.

    HOIST MAIN SHAFT TORQUE MONITORING DEVICE BASED ON ANGLE MEASUREMENT
    2.
    发明申请
    HOIST MAIN SHAFT TORQUE MONITORING DEVICE BASED ON ANGLE MEASUREMENT 有权
    基于角度测量的主轴主轴扭矩监测装置

    公开(公告)号:US20160187211A1

    公开(公告)日:2016-06-30

    申请号:US14909856

    申请日:2014-05-29

    CPC classification number: G01L3/08 G01L3/12

    Abstract: A hoist main shaft torque monitoring device based on angle measurement, constituted primarily by a first base, a second base, a light generating unit, a shutter, and a light sensing element; the light source, a first lens, and a first optical aperture arranged in the light generating unit, as well as a second optical aperture, second lens, and light sensing element on the shutter, forming a light source generation, propagation, and reception pathway; when the elevator main shaft is subjected to a certain torque, a corresponding displacement is produced between the first optical aperture and the second optical aperture, thus measuring the change in amount of light ultimately reaching the second optical aperture so as to measure the twist angle of the rotary shaft and finally calculate the magnitude of the shaft torque. Without damaging the original equipment and foundation, the device measures the torque of the shaft at different rotational speeds. The device can measure stationary torque and torque at different rotational speeds of the shaft, without the electromagnetic field interfering with wireless transmission; the device is easy to use, maintenance costs are low, and it is of interest for widespread popularization.

    Abstract translation: 一种基于角度测量的起重机主轴转矩监测装置,主要由第一基座,第二基座,发光单元,快门和光感测元件构成; 光源,第一透镜和布置在光产生单元中的第一光学孔,以及快门上的第二光学孔,第二透镜和光感测元件,形成光源产生,传播和接收通道 ; 当电梯主轴受到一定的转矩时,在第一光学孔和第二光学孔之间产生相应的位移,从而测量最终到达第二光学孔的光量的变化,以便测量第 旋转轴,最后计算轴转矩的大小。 在不损坏原始设备和基础的情况下,设备可以以不同的转速测量轴的转矩。 该装置可以在轴的不同转速下测量静止扭矩和扭矩,而不会有电磁场干扰无线传输; 该设备易于使用,维护成本低,广受欢迎。

    HOISTING CONTAINER POSE CONTROL METHOD OF DOUBLE-ROPE WINDING TYPE ULTRA-DEEP VERTICAL SHAFT HOISTING SYSTEM

    公开(公告)号:US20210070586A1

    公开(公告)日:2021-03-11

    申请号:US16772162

    申请日:2019-09-12

    Abstract: The present invention discloses a hoisting container pose control method of a double-rope winding type ultra-deep vertical shaft hoisting system. The method comprises the following steps of step 1, building a mathematical model of a double-rope winding type ultra-deep vertical shaft hoisting subsystem; step 2, building a position closed-loop mathematical model of an electrohydraulic servo subsystem; step 3, outputting a flatness characteristics of a nonlinear system; step 4, designing a pose leveling flatness controller of a double-rope winding type ultra-deep vertical shaft hoisting subsystem; and step 5, designing a position closed-loop flatness controller of the electrohydraulic servo subsystem. The present invention has the advantages that a system state variable derivation process is omitted, so that a design process of the controllers is greatly simplified. The response time of the controllers can be shortened, and a hoisting container can fast reach a leveling state. In an application process of the system, sensor measurement noise and system non-modeling characteristics can be amplified through state variable derivation, so that tracking errors can be reduced through design of the flatness controller. A control process is more precise, and good control performance is ensured.

    RELIABILITY ROBUST DESIGN METHOD FOR MULTIPLE FAILURE MODES OF ULTRA-D EEP WELL HOISTING CONTAINER

    公开(公告)号:US20190362041A1

    公开(公告)日:2019-11-28

    申请号:US16333218

    申请日:2017-12-07

    Abstract: A reliability robust design method for multiple failure modes of an ultra-deep well hoisting container, including: defining randomness of a structural parameter, a material property, and a dynamic load of a hoisting container, and solving a random response of a structural failure for a random parameter using a design of experiment method; establishing reliability performance functions of each failure modes in accordance with failure criterion of the hoisting container; establishing a joint probability model of correlated failures using a copula theory in consideration of probability correlation between the failure modes; establishing, a system reliability model with failure correlation of the hoister container; establishing a sensitivity model concerning each random parameter for system reliability of the hoisting container; and establishing, in conjunction with an optimization design model, a reliability robust optimization design model for the hoisting container using a joint failure probability and parameter sensitivity as constraints.

    ONLINE MONITORING SYSTEM FOR CRACK ON HOIST SPINDLE AND OPERATION METHOD THEREOF

    公开(公告)号:US20210041402A1

    公开(公告)日:2021-02-11

    申请号:US16760040

    申请日:2019-07-11

    Abstract: Disclosed are an online monitoring system for a crack on a hoist spindle and an operation method thereof. The system comprises: a rope power part, a crack detection part, a wireless transmission part, and a computer. The rope power part comprises two traction ropes, two guide wheels, two stepper motors, and two stepper motor drivers. The crack detection part comprises a spiral tube guide rail, a sliding body, and an ultrasonic generator. The wireless transmission part comprises three zigbee wireless sensing modules. The zigbee wireless sensing modules receive instructions from the computer and transmit the instructions to the stepper motor drivers to control the motors to rotate. The stepper motors drive the guide wheels to rotate to realize the winding of the ropes, so as to pull the sliding body to slide on the spiral tube guide rail. The ultrasonic generator clamped on the sliding body monitors the rotating spindle along the spiral tube guide rail. The zigbee wireless sensing modules transmit the detected data to the computer in real time. The present invention can effectively monitor a hoist spindle in time before a failure occurs, thereby avoiding safety accidents.

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