CN-122024552-A - Multi-mode sensing and intelligent evaluation transformer bushing replacement training device and method

CN122024552ACN 122024552 ACN122024552 ACN 122024552ACN-122024552-A

Abstract

The invention discloses a transformer bushing replacement training device and method for multi-mode sensing and intelligent evaluation. The device creatively integrates a multi-mode sensing system and an intelligent evaluation system on the basis of a modularized entity training tool. The multi-mode sensing system acquires multi-dimensional physical signals in the whole operation process through a moment, sound vibration and visual sensing unit which are integrated deeply. The intelligent evaluation system utilizes a multisource information fusion analysis algorithm to dynamically compare and deeply correlate real-time perception data with a standard process database, and automatically generates a quantized and accurate operation process compliance evaluation report. The invention solves the fundamental problems of subjective, lagged and unquantifiable process evaluation in the traditional training, realizes the crossing from 'result observation' to 'process intelligent diagnosis' of skill training, and remarkably improves the objectivity, the accuracy and the efficiency of the training.

Inventors

XIAO YAO
CHENG GUORAN
ZHANG WENJUN
LU JINBAO
LI ZHEN
Tong Ziliang

Assignees

国网新疆电力有限公司超高压分公司

Dates

Publication Date: 20260512
Application Date: 20260309

Claims (10)

1. The utility model provides a transformer bushing change training set of multimode perception and intelligent evaluation, includes main part load frame (100) and sets up the modularization interface system on it, its characterized in that still includes: the sensing units of the multi-mode sensing system are physically integrated at key stations of the modularized interface system and the main body bearing frame (100) and are used for concurrently acquiring moment, sound vibration and visual space multidimensional physical signals in the operation process in real time; The intelligent evaluation system is in communication connection with the multi-mode sensing system, a standard operation process database and a multi-source information fusion analysis algorithm are arranged in the intelligent evaluation system and are used for carrying out fusion processing on the received multi-dimensional physical signals, and a quantitative evaluation result for the operation process compliance and normalization is automatically generated by dynamically comparing real-time operation characteristic data with a preset process threshold value and a characteristic template in the standard operation process database.
2. The multi-modal sensing and intelligent assessment transformer bushing replacement training apparatus of claim 1, wherein the multi-modal sensing system comprises: the sensor of the moment sensing unit is integrated in the fastening connecting piece of the modularized interface system and is used for monitoring a moment value sequence and a fastening rate of a bolt fastening process in real time; The sensor array of the sound vibration sensing unit is arranged on the stress structure of the main body bearing frame (100) and faces to the operation area of the modularized interface system, and is used for collecting characteristic sound and vibration spectrum signals generated by tool operation, component contact and friction in the working process; The sensor of the visual perception unit is arranged above the working space of the main body bearing frame (100) and used for capturing the hand action track of an operator, the use gesture of a tool and the space gesture and motion sequence information of an operated component.
3. The multi-modal sensing and intelligent assessment transformer bushing replacement training apparatus of claim 2, wherein the modular interface system includes a standardized base flange (210) secured to the main body load frame (100), at least two different gauges of replaceable process adaptation flanges (220) removably connected to the standardized base flange (210), and a simulation bushing (230) removably connected to the replaceable process adaptation flanges (220), the interior of the simulation bushing (230) being configured as a hollow channel for lead-through and insulation-packing simulation.
4. The transformer bushing replacement training device for multi-modal sensing and intelligent assessment according to claim 2, wherein the torque sensing unit is a batch of intelligent bolts, the intelligent bolts are internally packaged with miniature torque sensors, analog-to-digital conversion chips and wireless transmitting modules, the intelligent bolts are used for interchangeably connecting replaceable process adaptation flanges (220) and standardized base flanges (210) in the modular interface system, and fastening process data of each bolt is wirelessly transmitted in real time.
5. A multi-modal sensing and intelligent assessment transformer bushing replacement training apparatus as claimed in claim 3 wherein said acoustic vibration sensing unit comprises at least one high sensitivity accelerometer attached to the back of said standardized base flange (210) or to the resonance sensitive point of said main body load frame (100) and a directional microphone oriented to the operative face of said modular interface system for cooperatively capturing low frequency structural vibrations and mid-high frequency operational acoustic signals.
6. The multi-modal sensing and intelligent assessment transformer bushing replacement training apparatus of claim 1, wherein the intelligent assessment system comprises: The data acquisition communication module is used for receiving and preprocessing heterogeneous sensing signal streams from the multi-mode sensing system; The process database and the analysis engine are used for storing a process knowledge base comprising a standard moment curve, a standard sound vibration characteristic spectrum and a standard action sequence, and are configured with a time sequence analysis algorithm, a frequency spectrum analysis algorithm and a pattern recognition algorithm, and are used for carrying out characteristic extraction and fusion analysis on the heterogeneous sensing signal flow and recognizing the type and degree of operation deviation; And the evaluation report generation and display terminal is used for outputting an evaluation report with combined image and text, and the evaluation report at least comprises a subentry process score, an operation time line playback, a bias item highlighting diagnosis and an improvement suggestion based on statistical data.
7. The multi-modal sensing and intelligent assessment transformer bushing replacement training device of claim 1, wherein the main body load frame (100) comprises a first drilling unit (110) for simulating vertical installation conditions and a second drilling unit (120) for simulating inclined installation conditions, the first drilling unit (110) being disposed in non-parallel relationship with the mounting base (111) axis of the second drilling unit (120), and both being equipped with a climbing ladder and a top safety rail (140).
8. A method of skill training and assessment using the multi-modal perceived and intelligent assessment transformer bushing replacement training apparatus of any one of claims 1-7, comprising the steps of: s1, selecting a target training subject on an evaluation report generation and display terminal of the intelligent evaluation system, and loading corresponding standard operation process database parameters; s2, an operator performs the whole-flow operation of disassembling, cleaning and installing the simulation sleeve (230) on the main body bearing frame (100) on the modularized interface system; S3, simultaneously, the moment sensing unit, the sound vibration sensing unit and the visual sensing unit of the multi-mode sensing system acquire whole-process operation signals simultaneously and in real time in the step S2; S4, the process database and the analysis engine of the intelligent evaluation system receive the operation signal of the step S3, process the operation signal through a multi-source information fusion analysis algorithm, and conduct millisecond-level dynamic comparison and consistency analysis on the operation signal and the standard parameters loaded in the step S1; And S5, the evaluation report generation and display terminal automatically generates and displays a quantitative evaluation report aiming at the operation based on the analysis result of the step S4, and realizes closed loop feedback of the training process.
9. A transformer bushing replacement operating skill intelligent assessment system, characterized by being applied to the training apparatus of any one of claims 1-7, comprising: The multi-source signal access module is used for synchronously acquiring real-time data streams from the moment sensing unit, the sound vibration sensing unit and the visual sensing unit; The process compliance analysis module is configured with an association rule engine and a machine learning model and is used for performing cross-modal association analysis on the real-time data stream and judging the compliance level of a bolt fastening process, the processing quality of a sealing surface, the assembly precision of a component and the integrity of an operation flow; And the visual interactive feedback module is used for generating and driving and displaying an interactive assessment interface integrating a multidimensional data curve, a virtual instrument panel, a three-dimensional operation reproduction animation and a structural diagnosis conclusion.
10. A non-transitory computer readable storage medium storing a computer program, wherein the computer program when executed by a processor performs the steps of the transformer bushing replacement skill training and assessment method of claim 8.

Description

Multi-mode sensing and intelligent evaluation transformer bushing replacement training device and method Technical Field The invention relates to the technical field of power equipment overhaul and training, in particular to a transformer bushing replacement training device and method for multi-mode sensing and intelligent evaluation. Background The transformer bushing replacement is a key overhaul project with extremely high technological requirements and extremely high safety risks in the operation and maintenance of the power grid. The operation quality of the device directly depends on the accurate execution capability of overhaulers on hundreds of fine process clauses (such as the hierarchical quantitative fastening of bolts, the nondestructive installation of sealing elements, the centering control of leads and the like) in a standardized operation instruction book. However, there is a long-felt core pain in the current skill training field, namely, assessment subjectivity and hysteresis caused by "training and examination separation". The training device in the prior art (such as the transformer bushing installation training device disclosed in China patent publication No. CN 219716257U) mainly focuses on providing a physical simulation environment and modularized components, and solves the problem of 'equipment is practicable'. However, the function is stopped by providing an operation space, and the intrinsic quality of the operation process is completely and imperviously perceived and judged. Whether an operator fastens bolts according to a standard sequence and torque, whether the treatment of a sealing surface is thorough, whether the hoisting track of the sleeve is stable and accurate, and the key process parameters for determining the final installation quality are black boxes in the traditional training, and a trainer can only subjectively score according to the final static result and personal experience. The mode causes lack of objective data support in skill assessment, is difficult to accurately position a skill short board, and cannot provide reliable basis for skill authentication. Therefore, an intelligent training scheme capable of deeply fusing process perception and data evaluation is needed in the field, abstract process standards are converted into measurable, analyzable and feedbacked data indexes, and the problem that training effects cannot be objectively quantized and fed back in real time is fundamentally solved. Disclosure of Invention The invention aims to provide a transformer bushing replacement training device and method for multi-mode sensing and intelligent evaluation, and aims to solve the technical problem that the existing transformer bushing replacement training device and method cannot objectively, real-time and databased sense and evaluate the process compliance and operation normalization of an operation process. In order to achieve the above purpose, the invention adopts the following technical scheme: The transformer bushing replacement training device for multi-mode sensing and intelligent evaluation is characterized in that an integrated closed loop system of physical operation, multi-mode sensing, data fusion and intelligent evaluation is constructed. The system creatively introduces a multi-mode sensing system and an intelligent evaluation system on the basis of the modularized entity training tool. The multi-mode sensing system does not simply stack sensors, but rather performs careful type selection and spatial layout of sensing units for key process quality dimensions of the sleeve replacement operation. The torque sensing unit is directly integrated in the fastening bolt, the truest fastening process data is directly captured from a force source, the sound vibration sensing unit is arranged on a structural force transmission path and sound field key points and is used for 'listening' and 'feeling' rich quality information contained in tool operation, component contact and friction states, and the visual sensing unit records the action sequence and the spatial relation of the operation from a global view. The three units work simultaneously, and the holographic image of one operation is completely represented from three orthogonal dimensions of force, sound and shape. The intelligent assessment system is the "brain" of the present invention. The method performs time alignment, feature extraction and association analysis on asynchronous and heterogeneous data streams from different modes through a built-in multisource information fusion analysis algorithm. For example, it compares the real-time moment curve of the bolt with the standard curve, correlates the sound vibration signal characteristics at that time (determining if there is abnormal sliding or impact), and checks if the operator gesture in the visual data is normal. Through the fusion analysis, the system can not only judge whether the process is finished or not, but also accurately evaluate ho