CN-122020329-A - Equipment full life cycle management method, equipment, product and medium

CN122020329ACN 122020329 ACN122020329 ACN 122020329ACN-122020329-A

Abstract

A full life cycle management method, equipment, products and media for equipment relate to the technical field of equipment management. The method comprises the steps of obtaining physical distribution topology data of a plurality of equipment nodes, calculating transmission delay parameters and energy attenuation coefficients among the equipment nodes based on the physical distribution topology data, determining an active source node set and a passive response node set, responding to a scheduling request aiming at the active source node set, generating a plurality of candidate operation combinations, determining initial environment output vectors of the candidate operation combinations, determining environment stress vectors based on the transmission delay parameters, the initial environment output vectors and the energy attenuation coefficients, determining estimated loss values based on the environment stress vectors, determining target operation combinations with the sum of the estimated loss values as a target, generating a control instruction sequence based on the target operation combinations, and driving active source nodes in the active source node set to execute the control instruction sequence. Has the effect of improving the operation efficiency of the equipment.

Inventors

TANG JUN
XU LONG
ZHU XIAOMI
ZHU JINTAO
ZHAO ZIXUAN
ZHOU FENGQI
Xie Gewei

Assignees

三峡长电大数据科技(宜昌)有限公司

Dates

Publication Date: 20260512
Application Date: 20251211

Claims (10)

1. An equipment full life cycle management method, the method comprising: acquiring physical distribution topology data of a plurality of equipment nodes, wherein the physical distribution topology data comprises directed connection paths among the equipment nodes, physical lengths of the paths and transmission media through which the paths pass; Based on the physical distribution topology data, calculating transmission delay parameters and energy attenuation coefficients among all equipment nodes, and determining an active source node set and a passive response node set according to the directed connection paths; responding to a scheduling request for an active source node set, generating a plurality of candidate operation combinations, and determining an initial environment output vector corresponding to each candidate operation combination; Performing time axis translation on the initial environment output vector based on the transmission delay parameter to obtain a hysteresis intermediate vector; Performing amplitude adjustment on the hysteresis intermediate vector based on the energy attenuation coefficient, and determining an environmental stress vector reaching each passive response node; Determining estimated loss values of each passive response node under corresponding candidate operation combinations based on the environmental stress vectors; Selecting a target operation combination from a plurality of candidate operation combinations by taking the sum of estimated loss values of all passive response nodes as a target; And generating a control instruction sequence based on the target operation combination, and driving the active source nodes in the active source node set to execute the control instruction sequence.
2. The equipment full life cycle management method of claim 1, wherein the calculating the transmission delay parameter and the energy attenuation coefficient between the equipment nodes based on the physical distribution topology data, and determining the active source node set and the passive response node set according to the directed connection path specifically comprises: Analyzing the pointing relation of the directional connection paths contained in the physical distribution topology data, marking the equipment nodes at the starting points of the directional connection paths as active source nodes and classifying the active source nodes into an active source node set, and marking the equipment nodes at the ending points of the directional connection paths as passive response nodes and classifying the equipment nodes into a passive response node set; for any pair of equipment nodes with connection relation, extracting the path physical length of a directional connection path connecting the two equipment nodes, acquiring the physical propagation speed corresponding to a transmission medium, and dividing the path physical length by the physical propagation speed to obtain a transmission delay parameter between the two equipment nodes; The method comprises the steps of obtaining loss indexes of unit length of a transmission medium, calculating the product of physical length of a path and the loss indexes of unit length by using an exponential function based on a natural constant as a negative index to obtain the energy retention ratio of a directional connection path between two equipment nodes, and determining the energy retention ratio as an energy attenuation coefficient between the two equipment nodes.
3. The equipment full life cycle management method of claim 1, wherein the generating a plurality of candidate operation combinations in response to a scheduling request for an active source node set and determining an initial environment output vector corresponding to each candidate operation combination specifically comprises: extracting a total task load target value to be achieved from the scheduling request; Traversing the active source node set, reading a preset rated operation interval of each active source node, and dividing the rated operation interval into a plurality of discrete working points according to a preset quantization step length; The discrete working points of all the active source nodes are arranged and combined, a combination form which can meet the total task load target value after superposition is screened out, and the screened combination form is defined as a candidate operation combination; for each candidate operation combination, identifying a discrete working point where each active source node in the candidate operation combination is located, and searching an environment physical quantity time domain fluctuation sequence corresponding to the discrete working point by utilizing a pre-calibrated physical characteristic mapping relation; And arranging the time domain fluctuation sequences of the environmental physical quantities corresponding to all the active source nodes under the same candidate operation combination according to a preset node order, and constructing an initial environmental output vector corresponding to the candidate operation combination.
4. The equipment full life cycle management method of claim 3, wherein the performing time axis translation on the initial environment output vector based on the transmission delay parameter to obtain a hysteresis intermediate vector specifically comprises: Identifying all active source nodes with directional connection paths corresponding to each passive response node aiming at each passive response node, and extracting transmission delay parameters corresponding to each directional connection path; Taking the moment of generating the initial environment output vector as a time reference zero point, and translating the environment physical quantity time domain fluctuation sequence separated from the initial environment output vector in the positive direction of a time axis according to the numerical value of the transmission delay parameter to obtain a hysteresis path component; All hysteresis path components obtained for the same passive response node are combined as a hysteresis intermediate vector to the passive response node.
5. The equipment full life cycle management method of claim 4, wherein the amplitude adjustment of the hysteresis intermediate vector based on the energy attenuation coefficient determines an environmental stress vector to each passive response node, specifically comprising: Extracting energy attenuation coefficients of a directional connection path corresponding to a hysteresis path component included in each hysteresis intermediate vector; scaling the data amplitude of each time point in the hysteresis intermediate vector by using the energy attenuation coefficient as a scale factor to obtain a path component vector showing transmission loss; and carrying out waveform superposition on all path component vectors converged to the same passive response node under a uniform time coordinate system to obtain the environmental stress vectors reaching each passive response node.
6. The equipment full life cycle management method of claim 1, wherein determining the estimated loss value of each passive response node under the corresponding candidate operation combination based on the environmental stress vector specifically comprises: extracting a time domain waveform data sequence contained in the environmental stress vector; Carrying out cyclic statistics on the time domain waveform data sequence by adopting a rain flow counting method, identifying each stress cycle contained in the time domain waveform data sequence, and determining a stress amplitude value and a mean value corresponding to each stress cycle; invoking fatigue life curve data pre-stored by a passive response node, and inquiring the maximum allowable cycle times corresponding to each stress cycle in the fatigue life curve data according to the stress amplitude and the mean value; And calculating the reciprocal of the maximum allowable cycle times to obtain the single damage rate generated by each stress cycle, and accumulating the single damage rates of all the stress cycles to obtain the estimated loss value of the passive response node under the candidate operation combination.
7. The equipment full life cycle management method of claim 3, wherein the generating a control instruction sequence based on the target operation combination specifically comprises: For each active source node contained in the target operation combination, separating a discrete working point allocated to the active source node from the target operation combination; Formatting discrete working points into binary drive codes according to communication protocol standards adapted by the active source node, and constructing independent instruction frames containing the binary drive codes; Acquiring the current time of the system, calculating a collaborative starting time stamp by taking the current time of the system as a reference, and writing the collaborative starting time stamp into a time synchronization field of an independent instruction frame; and splicing the independent instruction frames corresponding to all the active source nodes into a continuous data stream according to the transmission time sequence specification corresponding to the physical bus connected with the active source nodes, so as to obtain a control instruction sequence.
8. An electronic device equipped with full lifecycle management, the electronic device comprising one or more processors and memory coupled with the one or more processors, the memory to store computer program code comprising computer instructions that the one or more processors invoke to cause the electronic device to perform the method recited in any of claims 1-7.
9. A computer program product comprising instructions which, when run on an electronic device equipped with full lifecycle management, cause the electronic device to perform the method of any of claims 1-7.
10. A computer readable storage medium comprising instructions which, when run on an electronic device equipped with full lifecycle management, cause the electronic device to perform the method of any of claims 1-7.

Description

Equipment full life cycle management method, equipment, product and medium Technical Field The application relates to the technical field of equipment management, in particular to a full life cycle management method, equipment, a product and a medium for equipment. Background With the rapid development of the technology of the internet of things and the deep advancement of the intelligent manufacturing concept, the modern industrial equipment system is evolving towards networking, digitizing and intelligent. In this context, equipment full life cycle management has become a hot spot area of current industry and academia concern as a core technology to ensure efficient, safe, sustainable operation of industrial equipment. Particularly in large complex equipment systems, a distributed cooperative work network is formed among a plurality of equipment nodes through network connection, and the optimal management of the running state of the distributed cooperative work network directly influences the performance and the service life of the whole system. At present, in the field of equipment full life cycle management, a full life cycle management method of intelligent equipment is disclosed in China patent application with application publication number of CN120950341A, the method acquires operation data of the intelligent equipment in real time, preprocesses the operation data to obtain target data, trains a preset AI model according to a preset machine learning framework, and finally deploys the target AI model and integrates the target AI model into a business process for data management and monitoring. The method can prolong the service life of equipment, reduce unplanned downtime and provide user interface interaction services. However, in practical application, when there are multiple nodes in the equipment system and cooperative work is needed between the nodes, the above method lacks sufficient consideration for propagation of environmental influences between the nodes when performing optimization of operation strategies, which easily results in insufficient accuracy of equipment loss evaluation and further results in low operation efficiency of equipment. Disclosure of Invention The application provides a full life cycle management method, equipment, a product and a medium for equipment, which have the effect of improving the operation efficiency of the equipment. In a first aspect of the present application, there is provided an equipment full life cycle management method, specifically including: acquiring physical distribution topology data of a plurality of equipment nodes, wherein the physical distribution topology data comprises directed connection paths among the equipment nodes, physical lengths of the paths and transmission media through which the paths pass; Based on the physical distribution topology data, calculating transmission delay parameters and energy attenuation coefficients among all equipment nodes, and determining an active source node set and a passive response node set according to the directed connection paths; responding to a scheduling request for an active source node set, generating a plurality of candidate operation combinations, and determining an initial environment output vector corresponding to each candidate operation combination; Performing time axis translation on the initial environment output vector based on the transmission delay parameter to obtain a hysteresis intermediate vector; Performing amplitude adjustment on the hysteresis intermediate vector based on the energy attenuation coefficient, and determining an environmental stress vector reaching each passive response node; Determining estimated loss values of each passive response node under corresponding candidate operation combinations based on the environmental stress vectors; Selecting a target operation combination from a plurality of candidate operation combinations by taking the sum of estimated loss values of all passive response nodes as a target; And generating a control instruction sequence based on the target operation combination, and driving the active source nodes in the active source node set to execute the control instruction sequence. By adopting the technical scheme, the physical distribution topology data of the equipment nodes is acquired, the physical distribution topology data comprise the directional connection path, the physical path length and the transmission medium information, and basic data support is provided for accurately evaluating the running state of the equipment. And calculating a transmission delay parameter and an energy attenuation coefficient based on the physical distribution topology data, and determining an active source node set and a passive response node set, thereby realizing quantitative characterization of physical transmission characteristics among equipment nodes. Generating a plurality of candidate operation combinations aiming at the active source node set,