CN-122022774-A - Mine equipment operation and maintenance management system based on multidimensional data analysis

CN122022774ACN 122022774 ACN122022774 ACN 122022774ACN-122022774-A

Abstract

The invention discloses a mine equipment operation and maintenance management system based on multidimensional data analysis, which relates to the technical field of mine operation and maintenance data management and is used for solving the problem that operation and maintenance data are difficult to align; the invention constructs a closed-loop operation and maintenance flow of object alignment, time sequence verification, event merging, work order arrangement and scheduling write-back, unifies a standing book, a point table, a work order, sensor data and a control log into asset object keys, generates a status frame and an event frame, realizes multi-source data association, generates a trusted mark through missing detection, marking, jumping and drifting marking, cuts available time sequence fragments, inhibits error disposal, generates event clusters and cluster abstracts based on rolling windows, supports a disposal template library to match and generate work order packets, forms a resource constraint table and an alternative path set, distributes a scheduling time window and a responsibility group according to the ordering of urgency level fields and window demand fields, and performs incremental rearrangement and write-back execution and acceptance record update template parameters when resources change, thereby improving disposal timeliness and executable.

Inventors

ZHANG JIALE
ZHANG YAFENG
Lou Ben

Assignees

铜陵有色金属集团铜冠矿山建设股份有限公司

Dates

Publication Date: 20260512
Application Date: 20260205

Claims (10)

1. The mine equipment operation and maintenance management system based on multidimensional data analysis is characterized by comprising an object alignment module, a time sequence verification module, an event merging module, a work order arrangement module and a scheduling write-back module, wherein the modules are in data communication connection; The object alignment module is used for accessing the standing book, the point list, the work order, the sensor data and the control log, generating an asset object key and generating a status frame and an event frame based on the asset object key; the time sequence checking module is used for aligning the state frame with the event frame, generating a trusted mark and outputting an available time sequence segment; The event merging module is used for generating event clusters and cluster abstracts in the rolling window based on the available time sequence fragments and asset object keys; The work order arranging module is used for generating a work order package according to the event cluster matching treatment template library, generating a resource constraint table based on personnel, spare parts and operation permission data, and generating an alternative path set for the work order package; And the scheduling write-back module is used for scheduling the work order Bao Shengcheng based on the resource constraint table, executing increment rearrangement when the event cluster or the resource state changes, and writing back the work order execution record and the acceptance record.
2. The mine equipment operation and maintenance management system based on multidimensional data analysis of claim 1, wherein the object alignment module accesses a ledger, a point table, a worksheet, sensor data and control logs, generates asset object keys and generates status frames and event frames based on the asset object keys, comprising: Analyzing the equipment identifier and the component identifier in the standing book, analyzing the point location identifier and the acquisition channel identifier in the point location table, and establishing hierarchical mapping of the equipment identifier, the component identifier and the point location identifier; Performing field normalization on equipment fields and component fields in the work order to obtain a work order object identifier; performing point location mapping on the sensor data and channel fields in the control log to obtain an acquisition object identifier; generating an asset object key based on the work order object identification and the acquisition object identification, and writing a point location mapping table; a status frame and an event frame are generated based on the asset object key performing aggregation of the access data.
3. The mine equipment operation and maintenance management system based on multidimensional data analysis of claim 2, wherein the status frame and the event frame comprise a fixed field set, the fixed field set comprising a time stamp, a data source identifier, an asset object key and a field complete tag; The status frame also comprises a status field set, wherein the status field set comprises an operation status, a working condition field and an acquisition value set; The event frame also contains a set of event fields including event categories, a set of event parameters, and event markers.
4. The mining equipment operation and maintenance management system based on multidimensional data analysis as recited in claim 3, wherein the timing verification module aligns the status frame with the event frame and generates a trusted flag, and outputs an available timing segment, comprising: performing sequential correction on the status frame and the event frame based on the time stamp to generate an alignment sequence; Generating a missing measurement mark when the time interval in the alignment sequence is abnormal, and generating a disorder mark when the time in the alignment sequence is reverse; Generating a jump mark based on the change of the acquisition value of the adjacent frames, and generating a drift mark based on the offset trend of the continuous frames; and generating a trusted mark based on the missing detection mark, the disordered mark, the jump mark and the drift mark, and segmenting the alignment sequence according to the beaconing mark to obtain the available time sequence fragment.
5. The mine equipment operation and maintenance management system based on multidimensional data analysis of claim 4, wherein the event merge module generates an event cluster within a rolling window based on the available time segments and the asset object key, comprising: Grouping available time sequence fragments by asset object keys to obtain an event sequence in the object; Determining candidate aggregation intervals in the event sequence in the object based on the time proximity constraint; performing merging within the candidate aggregation interval based on the event category consistency constraint and the state change mode consistency constraint; and generating an event cluster identifier by the merging result and determining an event cluster boundary, wherein the event cluster boundary is determined by the time marks of the head event frame and the tail event frame in the event cluster.
6. The mine equipment operation and maintenance management system based on multidimensional data analysis of claim 5, wherein in the event merging module, a cluster abstract is generated based on an event cluster, and the cluster abstract comprises a component range field, an urgency level field, an evidence index field, a disposition category field and a window requirement field; the component scope field is determined based on the asset object key and the point location mapping table, the urgency level field is determined based on the degree of deviation of the event category from the set of state fields, the evidence index field is generated based on the event cluster boundary locating event frames and the position markers of the state frames in the available time sequence segments, the disposition category field is generated based on the event category and the urgency level field mapping, and the window requirement field is generated based on the disposition category field and the job permission data.
7. The mine equipment operation and maintenance management system based on multidimensional data analysis of claim 6, wherein the work order orchestration module generates a work order package according to a match of the event cluster and the cluster abstract treatment template library, comprising: storing the disposition template in a disposition template library, the disposition template associated device model field, disposition category field, and component scope field; selecting a target treatment template based on the treatment category field, the component range field and the equipment model field in the cluster abstract; Generating a work order package identifier and associating an event cluster identifier based on the target treatment template; The work order package comprises a work step sequence, a spare part list, a tool list, a skill requirement, a work permission list and an acceptance item, and generates a step dependency description based on the work step sequence, wherein the step dependency description is used for limiting the sequence of the work steps.
8. The mining equipment operation and maintenance management system based on multidimensional data analysis as recited in claim 7, wherein the work order orchestration module generates a resource constraint table based on personnel, spare parts and job approval data, comprising: Extracting team identification, skill identification and available time window from personnel data to form personnel available items; Extracting spare part identifiers, inventory states, in-transit states and occupied states from spare part data to form spare part availability items; Extracting a permission type, a permission state and a permission time window from the job permission data to form a permission available item; and based on the skill requirements, the spare part list and the job license list of the work order package, matching the personnel available items, the spare part available items and the license available items to generate a constraint item set, and writing the constraint item set and the corresponding available time window into a resource constraint table.
9. The mining equipment operation and maintenance management system based on multidimensional data analysis as recited in claim 8, wherein the work order orchestration module generates an alternate path set for the work order package, comprising: generating a constraint notch item set for the work order packet based on the resource constraint table; when the constraint notch item set exists, generating a postponed window path, a split path, a substitute spare part path, an outsourcing path and a risk suppression path for the work order packet; The deferred window path is used for adjusting a planning time window of the work order package to an available time window corresponding to the resource constraint table, the splitting path is used for splitting the work order package into a patrol work order package and an overhaul work order package and generating a dependency description, the replacement spare part path is used for updating a spare part list of the work order package according to spare part data, the outsourcing path is used for mapping the skill requirement into outsourcing resource requirement and writing the outsourcing resource requirement into the resource constraint table, the risk suppression path is used for generating a risk suppression operation step sequence according to a treatment template library and updating an operation permission list of the work order package, and each path is associated with a trigger condition and a rollback condition.
10. The mine equipment operation and maintenance management system based on multidimensional data analysis of claim 9, wherein the scheduling write-back module schedules the work orders Bao Shengcheng based on a resource constraint table, performs incremental rearrangement when an event cluster or a resource state changes, and writes back work order execution records and acceptance records, comprising: determining a work order Bao Paixu based on an urgency level field and a window demand field in a cluster abstract corresponding to the event cluster; A scheduling plan is generated for the work order package allocation plan time window and the responsibility group based on the resource constraint table; When the event cluster changes or the personnel state changes, the spare part state changes and the job permission state changes corresponding to the resource constraint table, determining an affected work order package set and forming an increment rearrangement result for the update plan time window or the responsibility group of the affected work order package set; And collecting a work order execution record and an acceptance record associated with the work order package identifier, writing the work order data, and updating the matching parameters and the resource demand parameters of the disposal template library based on the acceptance record.

Description

Mine equipment operation and maintenance management system based on multidimensional data analysis Technical Field The invention relates to the technical field of mine operation and maintenance data management, in particular to a mine equipment operation and maintenance management system based on multidimensional data analysis. Background In the operation and maintenance management scene of mine equipment, key equipment such as crushing, conveying, drainage, ventilation and the like is in a high-load and multi-working-condition switching state for a long time, and operation and maintenance management usually depends on a standing book, a point position table, a work order, sensor data and a control log at the same time to judge equipment health and arrange maintenance. In the existing scheme, the decentralized record of each service system is mainly used, and the lack of uniform object identification and uniform time reference between the acquisition and control log of the sensor and the work list transfer leads to inconsistent field caliber of the same equipment part in different systems, so that the running state, the working condition and the event record are difficult to belong to the same maintainable object; Meanwhile, network jitter, offline feedback and sampling frequency difference exist in the mine site, and if the data are naturally subjected to missing measurement, disordered sequence, jump and drift, trusted segmentation and available segment extraction are not performed, abnormal alarms are easily fragmented and repeatedly triggered, so that an event chain actually needing to be disposed is difficult to be determined in information noise by operation and maintenance personnel. Furthermore, the existing work order generation and scheduling depend on manual experience or static rules, and the personnel availability time window, spare part state and operation permission time window are not linked as unified constraint, so that the work order is generated but not executable or the project is frequently changed to cause the on-site coordination cost to rise. Disclosure of Invention In order to overcome the above-mentioned defects of the prior art, there is a following scheme to solve the problem that the operation data are difficult to align in the above-mentioned background art. In order to achieve the above purpose, the present invention provides the following technical solutions: The mine equipment operation and maintenance management system based on multidimensional data analysis comprises an object alignment module, a time sequence verification module, an event merging module, a work order arranging module and a scheduling write-back module, wherein the modules are connected in a data communication manner; The object alignment module is used for accessing the standing book, the point list, the work order, the sensor data and the control log, generating an asset object key and generating a status frame and an event frame based on the asset object key; the time sequence checking module is used for aligning the state frame with the event frame, generating a trusted mark and outputting an available time sequence segment; The event merging module is used for generating event clusters and cluster abstracts in the rolling window based on the available time sequence fragments and asset object keys; The work order arranging module is used for generating a work order package according to the event cluster matching treatment template library, generating a resource constraint table based on personnel, spare parts and operation permission data, and generating an alternative path set for the work order package; And the scheduling write-back module is used for scheduling the work order Bao Shengcheng based on the resource constraint table, executing increment rearrangement when the event cluster or the resource state changes, and writing back the work order execution record and the acceptance record. Further, the object alignment module accesses the ledger, the point table, the work order, the sensor data and the control log, generates an asset object key and generates a status frame and an event frame based on the asset object key, including: Analyzing the equipment identifier and the component identifier in the standing book, analyzing the point location identifier and the acquisition channel identifier in the point location table, and establishing hierarchical mapping of the equipment identifier, the component identifier and the point location identifier; Performing field normalization on equipment fields and component fields in the work order to obtain a work order object identifier; performing point location mapping on the sensor data and channel fields in the control log to obtain an acquisition object identifier; generating an asset object key based on the work order object identification and the acquisition object identification, and writing a point location mapping table; a status frame and an event