CN-121979064-A - Bus jack box production monitoring method and system based on multi-sensor fusion

CN121979064ACN 121979064 ACN121979064 ACN 121979064ACN-121979064-A

Abstract

The invention discloses a bus jack box production monitoring method and system based on multi-sensor fusion, and relates to the technical field of production monitoring, wherein the method comprises the steps of collecting multi-source operation parameters of a bus jack box in real time through multiple sensors; the method comprises the steps of carrying out self-adaptive gain control on heterogeneous sensing data sets, carrying out weighted fusion according to the gain data sets to generate standardized feature vectors, carrying out state identification evaluation based on the standardized feature vectors to obtain state evaluation results, carrying out production monitoring analysis according to the state evaluation results to generate monitoring instructions to carry out real-time regulation and control early warning on the production process of the bus jack box. The technical problems that the multidimensional running state of the bus jack box cannot be comprehensively captured, the data utilization efficiency is low, the state evaluation is inaccurate, the early warning regulation and control is not timely, the production efficiency and the reliability are insufficient in the prior art are solved, and the technical effects of realizing accurate monitoring and real-time early warning of the production process of the bus jack box and improving the production efficiency and the reliability are achieved.

Inventors

WANG NING
ZHAO HUIMIN
JIN CHAO
LU YULIN
NIE MENG
GUO ZHIHUI

Assignees

镇江西门子母线有限公司

Dates

Publication Date: 20260505
Application Date: 20260203

Claims (10)

1. The bus jack box production monitoring method based on multi-sensor fusion is characterized by comprising the following steps of: acquiring multisource operation parameters of a bus jack box in real time through a multisensor, and constructing a heterogeneous sensing data set; Performing self-adaptive gain control on the heterogeneous sensing data set, and performing weighted fusion according to the gain data set to generate a standardized feature vector; Performing state identification evaluation based on the standardized feature vector to obtain a state evaluation result; and carrying out production monitoring analysis according to the state evaluation result, generating a monitoring instruction, and carrying out real-time regulation and early warning on the production process of the bus jack box.
2. The bus jack box production monitoring method based on multi-sensor fusion according to claim 1, wherein multi-source operation parameters of the bus jack box are collected in real time through the multi-sensors, and a heterogeneous sensing data set is constructed, and the method comprises the following steps: traversing the bus jack box to carry out production influence analysis, and determining a plurality of key positions according to influence analysis results; Constructing a time synchronization mechanism according to a data acquisition time sequence, and arranging a sensor array according to the time synchronization mechanism based on the plurality of key positions; the bus jack box is collected in real time through the sensor array to obtain multi-source operation parameters; Extracting a data timestamp mark according to the time synchronization mechanism, and carrying out structural analysis on the multi-source operation parameters according to the data timestamp mark to determine a preset data structure; and packaging the multi-source operation parameters according to the preset data structure to construct the heterogeneous sensing data set.
3. The bus jack box production monitoring method based on multi-sensor fusion according to claim 2, wherein the bus jack box is collected in real time through the sensor array to obtain multi-source operation parameters, and the method comprises the following steps: the sensor array comprises a temperature sensor, a current sensor, a voltage sensor and a vibration sensor; the conductive connection points of the bus jack box are subjected to contact sensing through the temperature sensor, and contact temperature data are obtained; Carrying out current sensing on a bus conductor of a bus jack box through the current sensor to obtain load current data; the voltage sensor is used for conducting voltage sensing on phase lines and ground lines between the bus jack boxes to obtain voltage data; vibration sensing is carried out on the mechanical structure of the bus jack box through the vibration sensor, so that vibration spectrum data are obtained; And integrating the contact temperature data, the load current data, the voltage data and the vibration spectrum data to construct the multi-source operation parameters.
4. The bus jack box production monitoring method based on multi-sensor fusion according to claim 2, wherein the heterogeneous sensing data set is subjected to adaptive gain control, weighted fusion is performed according to the gain data set, and standardized feature vectors are generated, and the method comprises the following steps: respectively carrying out signal quality evaluation on the sensor arrays by traversing the heterogeneous sensing data set, and calculating the instantaneous signal intensity of the sensor arrays; performing gain analysis based on the instantaneous signal intensity, setting a gain coefficient, performing real-time gain control on the sensor array by using the gain coefficient, and generating a gain data set; performing quality analysis based on the gain data set, setting a data quality index, performing weight distribution on the gain data set according to the data quality index, and calculating a plurality of weight coefficients; Performing weighted fusion calculation on the heterogeneous sensing data set based on the plurality of weight coefficients to generate primary fusion characteristics; And carrying out normalization processing on the primary fusion characteristics to construct the standardized characteristic vector.
5. The bus jack box production monitoring method based on multi-sensor fusion according to claim 4, wherein gain analysis is performed based on the instantaneous signal intensity, gain coefficients are set, the gain coefficients are subjected to real-time gain control on the sensor array, and a gain data set is generated, and the method comprises the steps of: Performing intensity extremum analysis on the sensor array based on the heterogeneous sensing data set, and determining a signal intensity maximum value and a signal intensity minimum value; setting a target intensity interval by taking the maximum signal intensity value as an interval upper limit value and the minimum signal intensity value as an interval lower limit value; Comparing the instantaneous signal intensity with a preset target intensity interval; if the instantaneous signal strength is lower than the interval lower limit value, generating a tuning instruction, performing gain analysis based on the tuning instruction, and setting a first gain coefficient; amplifying the sensor array based on the first gain coefficient to generate a first gain data set; if the instantaneous signal strength is higher than the interval upper limit value, generating a subtraction instruction, performing gain analysis based on the subtraction instruction, and setting a second gain coefficient; And performing attenuation processing on the sensor array based on the second gain coefficient to generate a second gain data set.
6. The bus jack box production monitoring method based on the multi-sensor fusion according to claim 1, wherein the state identification evaluation is performed based on the standardized feature vector, and a state evaluation result is obtained, and the method comprises the following steps: performing deep confidence analysis based on the standardized feature vector, extracting features according to the confidence, and determining deep feature parameters; classifying the operation state of the bus jack box to obtain a plurality of state categories, and carrying out distribution calculation on the plurality of state categories based on the deep characteristic parameters to obtain a plurality of state category probability distribution parameters; performing multi-time scale analysis based on the state class probability distribution parameters to obtain a plurality of time scale features, wherein the time scale features comprise short-term transient features, medium-term trend features and long-term degradation features; comprehensively evaluating according to the short-term transient characteristics, the medium-term trend characteristics and the long-term degradation characteristics, obtaining a multi-time-scale state evaluation result, carrying out abnormal risk identification, and dividing a plurality of state abnormal risk grades; And adding the state anomaly levels, the confidence level and the multi-time scale state evaluation result to a state evaluation result.
7. The bus jack box production monitoring method based on multi-sensor fusion according to claim 6, wherein production monitoring analysis is performed according to the state evaluation result, and a monitoring instruction is generated to perform real-time regulation and control early warning on the production process of the bus jack box, and the method comprises the following steps: Constructing a production regulation strategy library, searching and matching the production regulation strategy library by taking the state evaluation result as an index, and determining a regulation scheme according to the matching result; carrying out production monitoring analysis on the bus jack box according to the regulation and control scheme to generate a monitoring instruction; the monitoring instruction is issued to a production line execution unit to carry out real-time regulation and control feedback on the bus jack box, and a regulation and control feedback parameter set is generated; Performing regulation and control analysis based on the regulation and control feedback parameter set to obtain real-time regulation and control effect data; carrying out dynamic iterative optimization according to the real-time regulation effect data and backtracking to the monitoring instruction, generating a monitoring optimization instruction to carry out closed-loop regulation on the production process of the bus jack box, and constructing a regulation log; And carrying out production regulation and control abnormality analysis of the bus jack box according to the regulation and control log, and extracting regulation and control abnormal data to carry out real-time early warning.
8. The bus jack box production monitoring method based on multi-sensor fusion according to claim 7, wherein a production regulation strategy library is constructed, the state evaluation result is used as an index to search and match the production regulation strategy library, and a regulation scheme is determined according to the matching result, and the method comprises the following steps: The method comprises the steps of calling a historical production regulation data set of a bus jack box to perform state analysis, dividing a plurality of regulation state data to perform strategy matching, and determining a normal state strategy set, an early warning state strategy set and an alarm state strategy set; integrating the normal state strategy set, the early warning state strategy set and the alarm state strategy set to construct a three-level strategy library structure; Mapping the historical production regulation data set to the three-level strategy library structure to construct a production regulation strategy library; performing state feature calculation of a state evaluation result based on the state abnormality levels, the confidence level and the multi-time scale state evaluation result, determining feature contribution degree, and constructing a multi-level index tree according to the feature contribution degree; And traversing the production regulation strategy library based on the multi-level index tree to perform fuzzy matching to obtain scheme matching degree, and judging according to the scheme matching degree to generate the regulation scheme.
9. The bus jack box production monitoring method based on multi-sensor fusion according to claim 7, wherein the bus jack box production regulation and control abnormality analysis is performed according to the regulation and control log, regulation and control abnormality data are extracted for real-time early warning, and the method comprises the following steps: Performing time sequence analysis on the regulation log to obtain a plurality of time sequence index features, wherein the plurality of time sequence index features comprise an instruction issuing time stamp, an execution starting time stamp and an execution completion time stamp; performing regulation response calculation according to the instruction issuing time stamp, the execution starting time stamp and the execution completion time stamp to obtain a regulation response time parameter; performing execution calculation according to the parameter stability index based on the regulation response time parameter to obtain an execution deviation degree; And determining abnormal regulation data for the production regulation abnormal identification of the bus jack box according to the execution deviation degree.
10. A bus jack box production monitoring system based on multi-sensor fusion, characterized in that the system is used for implementing the bus jack box production monitoring method based on multi-sensor fusion according to any one of claims 1 to 9, and the system comprises: the operation parameter acquisition module is used for acquiring multi-source operation parameters of the bus jack box in real time through a plurality of sensors and constructing a heterogeneous sensing data set; The gain control module is used for carrying out self-adaptive gain control on the heterogeneous sensing data set, carrying out weighted fusion according to the gain data set and generating a standardized feature vector; The state identification evaluation module is used for carrying out state identification evaluation based on the standardized feature vector to obtain a state evaluation result; And the production monitoring analysis module is used for carrying out production monitoring analysis according to the state evaluation result, generating a monitoring instruction and carrying out real-time regulation and early warning on the production process of the bus jack box.

Description

Bus jack box production monitoring method and system based on multi-sensor fusion Technical Field The invention relates to the technical field of production monitoring, in particular to a bus jack box production monitoring method and system based on multi-sensor fusion. Background The bus jack box is a key component in the power distribution system, and has the main functions of safely and efficiently distributing the electric energy of a main bus to each electric equipment, wherein the running reliability and stability of the bus jack box directly influence the safety and efficiency of the whole power supply system, and along with the increasing complexity of the production process of the bus jack box, the traditional production monitoring is mostly dependent on a single sensor or manual inspection, so that the problems of limited data source, insufficient instantaneity, high false alarm rate and the like exist, and the production requirements of high precision and high reliability are difficult to meet. In addition, because the bus jack box has complex operation environment, the sensing data of the bus jack box often has multi-source heterogeneous characteristics, including electrical parameters, mechanical parameters and environmental parameters, and has obvious differences in format, dimension and sampling frequency, if simple superposition analysis is directly carried out, information redundancy or characteristic loss is easily caused, and the accuracy of state evaluation is further affected. Therefore, in the related technology at the present stage, the technical problems of insufficient production efficiency and reliability caused by the fact that the multidimensional running state of the bus jack box cannot be comprehensively captured, the data utilization efficiency is low, the state evaluation is inaccurate, and the early warning regulation and control are not timely exist. Disclosure of Invention The application solves the technical problems of insufficient production efficiency and reliability caused by the fact that the multidimensional running state of the bus jack box cannot be comprehensively captured, the data utilization efficiency is low, the state evaluation is inaccurate and the early warning regulation and control are not timely in the prior art by providing the bus jack box production monitoring method and system based on multi-sensor fusion, and achieves the technical effects of realizing accurate monitoring and real-time early warning of the bus jack box production process and improving the production efficiency and reliability. The application provides a bus jack box production monitoring method based on multi-sensor fusion, which comprises the steps of collecting multi-source operation parameters of a bus jack box in real time through a plurality of sensors, constructing a heterogeneous sensing data set, carrying out self-adaptive gain control on the heterogeneous sensing data set, carrying out weighted fusion according to the gain data set to generate a standardized feature vector, carrying out state identification evaluation based on the standardized feature vector to obtain a state evaluation result, carrying out production monitoring analysis according to the state evaluation result, and generating a monitoring instruction to carry out real-time regulation and early warning on the production process of the bus jack box. In a possible implementation mode, the bus jack box production monitoring method based on multi-sensor fusion further comprises the steps of traversing the bus jack box to conduct production influence analysis, determining a plurality of key positions according to influence analysis results, constructing a time synchronization mechanism according to data acquisition time sequences, arranging a sensor array according to the time synchronization mechanism based on the key positions, conducting operation real-time acquisition on the bus jack box through the sensor array to obtain multi-source operation parameters, extracting data timestamp marks according to the time synchronization mechanism, conducting structural analysis on the multi-source operation parameters according to the data timestamp marks to determine a preset data structure, packaging the multi-source operation parameters according to the preset data structure, and constructing the heterogeneous sensing data set. In a possible implementation mode, the bus jack box production monitoring method based on multi-sensor fusion further comprises the following steps of enabling the sensor array to comprise a temperature sensor, a current sensor, a voltage sensor and a vibration sensor, enabling the temperature sensor to conduct contact sensing on conductive connection points of the bus jack boxes to obtain contact temperature data, enabling the current sensor to conduct current sensing on bus conductors of the bus jack boxes to obtain load current data, enabling the voltage sensor to conduct voltage sensing