CN114841279A - Data acquisition method and system in control process of sinking type vertical shaft heading machine - Google Patents
Data acquisition method and system in control process of sinking type vertical shaft heading machine Download PDFInfo
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- CN114841279A CN114841279A CN202210547113.8A CN202210547113A CN114841279A CN 114841279 A CN114841279 A CN 114841279A CN 202210547113 A CN202210547113 A CN 202210547113A CN 114841279 A CN114841279 A CN 114841279A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
- G06F18/243—Classification techniques relating to the number of classes
- G06F18/2433—Single-class perspective, e.g. one-against-all classification; Novelty detection; Outlier detection
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- E—FIXED CONSTRUCTIONS
- E21—EARTH DRILLING; MINING
- E21D—SHAFTS; TUNNELS; GALLERIES; LARGE UNDERGROUND CHAMBERS
- E21D1/00—Sinking shafts
- E21D1/03—Sinking shafts mechanically, e.g. by loading shovels or loading buckets, scraping devices, conveying screws
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
- G06F18/214—Generating training patterns; Bootstrap methods, e.g. bagging or boosting
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/20—Administration of product repair or maintenance
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02W—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO WASTEWATER TREATMENT OR WASTE MANAGEMENT
- Y02W10/00—Technologies for wastewater treatment
- Y02W10/10—Biological treatment of water, waste water, or sewage
Abstract
The data acquisition method and the system in the control process of the sinking type vertical shaft heading machine provided by the embodiment of the invention combine with the state data cluster of the sinking type vertical shaft heading machine to determine the abnormal characteristic point cluster of the associated sinking type vertical shaft heading machine, then combining the abnormal characteristic point cluster of the sinking type vertical shaft heading machine, generating a sinking type vertical shaft heading machine control fault cause map associated with different sinking type vertical shaft heading machine state abnormal events in the sinking type vertical shaft heading machine state data cluster, finally combining the sinking type vertical shaft heading machine control fault cause map and the sinking type vertical shaft heading machine state data in the sinking type vertical shaft heading machine control process, creating a data acquisition flow labeled with the sinking type vertical shaft heading machine control fault cause map and the sinking type vertical shaft heading machine state abnormal events, and configuring a data acquisition flow to the associated sinking type vertical shaft heading machine control unit through the sinking type vertical shaft heading machine control process. Therefore, the pertinence of relevant data acquisition after fault triggering can be improved.
Description
Technical Field
The invention relates to the technical field of sinking type vertical shaft heading machines, in particular to a data acquisition method and a data acquisition system in the control process of a sinking type vertical shaft heading machine.
Background
In the control process of the sinking type vertical shaft heading machine, some sinking type vertical shaft heading machine state transaction events are often involved, fault triggering is caused, and how to improve the pertinence of relevant data acquisition after fault triggering is a technical problem to be solved urgently.
Disclosure of Invention
In order to solve the above problem, an embodiment of the present invention provides a data acquisition method in a control process of a sinking type vertical shaft heading machine, including:
combining the state data of the sinking type vertical shaft heading machine, which is loaded in the control process of the sinking type vertical shaft heading machine and is marked with the state transaction event of the sinking type vertical shaft heading machine, and acquiring a state data cluster of the sinking type vertical shaft heading machine;
determining a sinking type vertical shaft heading machine abnormal characteristic point cluster related to the sinking type vertical shaft heading machine state data cluster by combining the sinking type vertical shaft heading machine state data cluster, wherein the sinking type vertical shaft heading machine abnormal characteristic point cluster comprises sinking type vertical shaft heading machine abnormal characteristic data of the sinking type vertical shaft heading machine state transaction events aiming at different sinking type vertical shaft heading machine control stages;
generating a sinking type vertical shaft tunneling machine control fault cause map associated with different sinking type vertical shaft tunneling machine state transaction events in the sinking type vertical shaft tunneling machine state data cluster by combining the abnormal characteristic point cluster of the sinking type vertical shaft tunneling machine; and establishing a data acquisition flow marked with the control fault cause map of the sinking vertical shaft heading machine and the state transaction event of the sinking vertical shaft heading machine by combining the control fault cause map of the sinking vertical shaft heading machine and the state data of the sinking vertical shaft heading machine in the control process of the sinking vertical shaft heading machine, and configuring the data acquisition flow to a related sinking vertical shaft heading machine control unit through the control process of the sinking vertical shaft heading machine.
Determining the sinking type vertical shaft heading machine abnormal characteristic point cluster related to the sinking type vertical shaft heading machine state data cluster by combining the sinking type vertical shaft heading machine state data cluster, wherein the determining comprises the following steps:
and transmitting the state data cluster of the sinking type vertical shaft heading machine to a trained abnormal characteristic point analysis model of the sinking type vertical shaft heading machine, analyzing the state data cluster of the sinking type vertical shaft heading machine by combining the abnormal characteristic point analysis model of the sinking type vertical shaft heading machine, and determining the related abnormal characteristic point cluster of the sinking type vertical shaft heading machine.
The method for generating the control fault cause map of the sinking type vertical shaft heading machine, which is associated with different sinking type vertical shaft heading machine state transaction events in the state data cluster of the sinking type vertical shaft heading machine, by combining the abnormal characteristic point cluster of the sinking type vertical shaft heading machine comprises the following steps:
determining fault cause characteristic clusters which are respectively associated with each sinking type vertical shaft heading machine control unit and are included in the sinking type vertical shaft heading machine abnormal characteristic point clusters by combining the sinking type vertical shaft heading machine abnormal characteristic point clusters;
and matching the control fault cause map of the sinking type vertical shaft heading machine associated with the fault cause feature cluster of each sinking type vertical shaft heading machine control unit from the trained control fault cause map space of the sinking type vertical shaft heading machine in combination with the fault cause feature cluster.
The method for matching the fault cause control fault cause map associated with the fault cause feature cluster of each sinking type vertical shaft heading machine control unit in the space of the fault cause control fault cause map of the sinking type vertical shaft heading machine after training by combining the fault cause feature cluster comprises the following steps:
for each sinking type vertical shaft heading machine control unit, determining a plurality of sinking type vertical shaft heading machine control fault reasons related to the fault reason characteristic cluster from the sinking type vertical shaft heading machine control fault reason map space by combining the fault reason characteristic cluster of the sinking type vertical shaft heading machine control unit;
configuring the data acquisition process for the control fault reasons of the plurality of sinking type vertical shaft heading machines to the related sinking type vertical shaft heading machine control units through the control process of the sinking type vertical shaft heading machines;
and determining a target sinking type vertical shaft heading machine control fault cause map associated with each sinking type vertical shaft heading machine control unit by combining the control response data of each sinking type vertical shaft heading machine control unit about the data acquisition process.
The creating and marking of the sunken vertical shaft heading machine control fault cause map and the data acquisition process of the sunken vertical shaft heading machine state transaction event, and configuring the data acquisition process to a related sunken vertical shaft heading machine control unit through the sunken vertical shaft heading machine control process comprises the following steps:
combining the current sinking type vertical shaft heading machine control data associated with the sinking type vertical shaft heading machine state data cluster, combining a sinking type vertical shaft heading machine control fault cause map before updating the current sinking type vertical shaft heading machine control fault cause map aiming at any sinking type vertical shaft heading machine control unit obtained by current analysis, and configuring the data acquisition flow to the associated sinking type vertical shaft heading machine control unit through the sinking type vertical shaft heading machine control process;
the method further comprises the following steps:
and acquiring a data acquisition field associated with the data acquisition flow by combining the data acquisition flow, and recording the data acquisition field and the flow configuration data of the data acquisition flow.
The invention also provides a data acquisition system in the control process of the sinking type vertical shaft heading machine, which comprises the following components:
the acquisition module is used for acquiring a state data cluster of the sinking type vertical shaft heading machine by combining the state data of the sinking type vertical shaft heading machine, which is loaded in the control process of the sinking type vertical shaft heading machine and is marked with a state transaction event of the sinking type vertical shaft heading machine;
the determining module is used for determining a sinking type vertical shaft heading machine abnormal characteristic point cluster related to the sinking type vertical shaft heading machine state data cluster by combining the sinking type vertical shaft heading machine state data cluster, wherein the sinking type vertical shaft heading machine abnormal characteristic point cluster comprises sinking type vertical shaft heading machine abnormal characteristic data of different sinking type vertical shaft heading machine control stages of the sinking type vertical shaft heading machine state transaction event;
the configuration module is used for generating a control fault cause map of the sinking type vertical shaft heading machine, which is associated with different sinking type vertical shaft heading machine state transaction events in the state data cluster of the sinking type vertical shaft heading machine, by combining the abnormal characteristic point cluster of the sinking type vertical shaft heading machine; and establishing a data acquisition flow marked with the control fault cause map of the sinking vertical shaft heading machine and the state transaction event of the sinking vertical shaft heading machine by combining the control fault cause map of the sinking vertical shaft heading machine and the state data of the sinking vertical shaft heading machine in the control process of the sinking vertical shaft heading machine, and configuring the data acquisition flow to a related sinking vertical shaft heading machine control unit through the control process of the sinking vertical shaft heading machine.
The determining module is specifically configured to:
and transmitting the state data cluster of the sinking type vertical shaft heading machine to a trained abnormal characteristic point analysis model of the sinking type vertical shaft heading machine, analyzing the state data cluster of the sinking type vertical shaft heading machine by combining the abnormal characteristic point analysis model of the sinking type vertical shaft heading machine, and determining the related abnormal characteristic point cluster of the sinking type vertical shaft heading machine.
Wherein the configuration module is specifically configured to:
determining fault cause characteristic clusters which are respectively associated with each sinking type vertical shaft heading machine control unit and are included in the sinking type vertical shaft heading machine abnormal characteristic point clusters by combining the sinking type vertical shaft heading machine abnormal characteristic point clusters; and matching the control fault cause map of the sinking type vertical shaft heading machine associated with the fault cause feature cluster of each sinking type vertical shaft heading machine control unit from the trained control fault cause map space of the sinking type vertical shaft heading machine in combination with the fault cause feature cluster.
Wherein the configuration module is further configured to:
for each sinking type vertical shaft heading machine control unit, determining a plurality of sinking type vertical shaft heading machine control fault reasons related to the fault reason characteristic cluster from the sinking type vertical shaft heading machine control fault reason map space by combining the fault reason characteristic cluster of the sinking type vertical shaft heading machine control unit;
configuring the data acquisition process for the control fault reasons of the plurality of sinking type vertical shaft heading machines to the related sinking type vertical shaft heading machine control units through the control process of the sinking type vertical shaft heading machines;
and determining a target sinking type vertical shaft heading machine control fault cause map associated with each sinking type vertical shaft heading machine control unit by combining the control response data of each sinking type vertical shaft heading machine control unit about the data acquisition process.
Wherein the configuration module is further configured to:
combining the current sinking type vertical shaft heading machine control data associated with the sinking type vertical shaft heading machine state data cluster, combining a sinking type vertical shaft heading machine control fault cause map before updating the current sinking type vertical shaft heading machine control fault cause map aiming at any sinking type vertical shaft heading machine control unit obtained by current analysis, and configuring the data acquisition flow to the associated sinking type vertical shaft heading machine control unit through the sinking type vertical shaft heading machine control process;
the data acquisition system in the control process of the sinking type vertical shaft heading machine further comprises:
and the recording module is used for acquiring a data acquisition field associated with the data acquisition flow by combining the data acquisition flow, and recording the data acquisition field and the flow configuration data of the data acquisition flow.
With reference to the above, in the data acquisition method and system in the control process of the sinking type vertical shaft heading machine provided in the embodiments of the present invention, first, the sinking type vertical shaft heading machine state data labeled with the sinking type vertical shaft heading machine state transaction event loaded in the control process of the sinking type vertical shaft heading machine is combined to obtain the sinking type vertical shaft heading machine state data cluster, then, the sinking type vertical shaft heading machine state data cluster is combined to determine the sinking type vertical shaft heading machine abnormal feature point cluster related to the sinking type vertical shaft heading machine state data cluster, the sinking type vertical shaft heading machine abnormal feature point cluster includes the sinking type vertical shaft heading machine state transaction event and is associated with the sinking type vertical shaft heading machine abnormal feature data of different sinking type vertical shaft heading machine control stages, and then, the sinking type vertical shaft heading machine state transaction event related to the sinking type vertical shaft heading machine state transaction event in the different sinking type vertical shaft heading machine state data cluster is generated by combining the sinking type vertical shaft heading machine state transaction point cluster And finally, establishing a data acquisition flow marked with the control fault cause map of the sinking vertical shaft heading machine and the state transaction event of the sinking vertical shaft heading machine by combining the control fault cause map of the sinking vertical shaft heading machine and the state data of the sinking vertical shaft heading machine in the control process of the sinking vertical shaft heading machine, and configuring the data acquisition flow to a related sinking vertical shaft heading machine control unit through the control process of the sinking vertical shaft heading machine. Therefore, the corresponding control fault cause map of the sinking type vertical shaft heading machine is generated by analyzing the abnormal characteristic data of the sinking type vertical shaft heading machine of different control units of the sinking type vertical shaft heading machine, the control fault cause map of the sinking type vertical shaft heading machine and information such as state data of the sinking type vertical shaft heading machine in the control process of the sinking type vertical shaft heading machine are combined for intercepting configuration, and the pertinence of relevant data acquisition after fault triggering can be improved.
In order to make the aforementioned objects, features and advantages of the embodiments of the present invention comprehensible, embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, it should be understood that the following drawings are only some embodiments of the present invention, and therefore should not be considered as limiting the scope, and it will be apparent to those skilled in the art that other related drawings can be obtained by combining these drawings without inventive efforts.
Fig. 1 is a schematic view of a sinking vertical shaft heading machine control process platform for implementing a data acquisition method in a sinking vertical shaft heading machine control process according to an embodiment of the present invention.
Fig. 2 is a schematic flow chart of a data acquisition method in the control process of the sinking vertical shaft heading machine according to the embodiment of the invention;
fig. 3 is a functional block diagram of a data acquisition system in the control process of the sinking vertical shaft heading machine according to the embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood by the scholars in the technical field, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, not all of the embodiments. All other embodiments obtained by a person of ordinary skill in the art without any inventive step in connection with the embodiments of the present invention shall fall within the scope of protection of the present invention.
Fig. 1 is a schematic diagram of a sinking vertical shaft heading machine control process platform 100 for implementing a data acquisition method in a sinking vertical shaft heading machine control process according to an embodiment of the present invention.
In this embodiment, the sunk vertical shaft boring machine control process service platform 100 may be a server, a server cluster, a computer device, a cloud service center, or other devices with information processing and analyzing capabilities, and the sunk vertical shaft boring machine control process service platform 100 may include one or more processors 11, such as one or more Central Processing Units (CPUs), each of which may implement one or more hardware threads. The submersible vertical boring machine control process service platform may also include a machine-readable storage medium 12 for storing any kind of information such as code, settings, data, etc. Non-limiting examples of the machine-readable storage medium include any one or more of the following in combination: any type of RAM, any type of ROM, flash memory devices, hard disks, optical disks, etc. More generally, machine-readable storage media may store information using any technology. Further, the machine-readable storage medium may provide volatile or non-volatile retention of information. Further, the machine-readable storage medium may represent fixed or removable components of the sunken vertical boring machine control process service platform 100. In one case, when processor 11 executes the associated instructions stored in machine-readable storage medium 12 or a combination of storage media, submersible heading machine control process service platform 100 may perform any of the operations of the associated instructions. The sunken shaft boring machine control process service platform 100 also includes one or more drive units, such as a hard disk drive unit, an optical disk drive unit, etc., for interacting with a machine-readable storage medium.
In addition, the sunken vertical boring machine control process service platform 100 may also include input/outputs (I/O) for receiving various inputs (via the input unit) and for providing various outputs (via the output unit)). One particular output mechanism may include a presentation device and an associated Graphical User Interface (GUI). The sunken vertical boring machine control process service platform 100 may also include one or more network interfaces for exchanging data with other equipment via one or more communication units. One or more communication buses couple the above-described components together.
The communication unit may be implemented in any manner, e.g., over a local area network, a wide area network (e.g., the internet), a point-to-point connection, etc., or any combination thereof. The communication units may comprise any combination of hardwired links, wireless links, routers, gateway functions, etc., governed by any protocol or combination of protocols.
Fig. 2 is a schematic flow chart of a data acquisition method in a control process of a sinking vertical shaft heading machine according to an embodiment of the present invention, and the detailed steps of the data acquisition method in the control process of the sinking vertical shaft heading machine are described as follows.
And S110, acquiring a state data cluster of the sinking type vertical shaft heading machine by combining the state data of the sinking type vertical shaft heading machine, which is loaded in the control process of the sinking type vertical shaft heading machine and is marked with the state transaction event of the sinking type vertical shaft heading machine.
And step S120, determining a sinking type vertical shaft heading machine abnormal characteristic point cluster related to the sinking type vertical shaft heading machine state data cluster by combining the sinking type vertical shaft heading machine state data cluster, wherein the sinking type vertical shaft heading machine abnormal characteristic point cluster comprises sinking type vertical shaft heading machine abnormal characteristic data of the sinking type vertical shaft heading machine state transaction events aiming at different sinking type vertical shaft heading machine control stages.
Step S130, generating a control fault cause map of the sinking type vertical shaft heading machine, which is associated with different sinking type vertical shaft heading machine state transaction events in the state data cluster of the sinking type vertical shaft heading machine, by combining the abnormal characteristic point cluster of the sinking type vertical shaft heading machine; and establishing a data acquisition flow with the control fault cause map of the sinking type vertical shaft heading machine and the state transaction event of the sinking type vertical shaft heading machine by combining the control fault cause map of the sinking type vertical shaft heading machine and the state data of the sinking type vertical shaft heading machine in the control process of the sinking type vertical shaft heading machine, and configuring the data acquisition flow to a related sinking type vertical shaft heading machine control unit through the control process of the sinking type vertical shaft heading machine.
In this embodiment, for step S120, the determining, in combination with the sinking type vertical shaft heading machine state data cluster, a sinking type vertical shaft heading machine abnormal characteristic point cluster associated with the sinking type vertical shaft heading machine state data cluster includes:
and transmitting the state data cluster of the sinking type vertical shaft heading machine to a trained abnormal characteristic point analysis model of the sinking type vertical shaft heading machine, analyzing the state data cluster of the sinking type vertical shaft heading machine by combining the abnormal characteristic point analysis model of the sinking type vertical shaft heading machine, and determining the related abnormal characteristic point cluster of the sinking type vertical shaft heading machine.
In this embodiment, for step S130, generating a sunken vertical shaft heading machine control fault cause map associated with different sunken vertical shaft heading machine state transaction events in the sunken vertical shaft heading machine state data cluster by combining the sunken vertical shaft heading machine abnormal feature point cluster, includes:
determining fault cause characteristic clusters which are respectively associated with each sinking type vertical shaft heading machine control unit and are included in the sinking type vertical shaft heading machine abnormal characteristic point clusters by combining the sinking type vertical shaft heading machine abnormal characteristic point clusters; and matching the control fault cause map of the sinking type vertical shaft heading machine associated with the fault cause feature cluster of each sinking type vertical shaft heading machine control unit from the trained control fault cause map space of the sinking type vertical shaft heading machine in combination with the fault cause feature cluster.
In this embodiment, for step S130, matching, in combination with the fault cause feature cluster, a sunk vertical shaft heading machine control fault cause map associated with the fault cause feature cluster of each sunk vertical shaft heading machine control unit from a sunk vertical shaft heading machine control fault cause map space, includes:
for each sinking type vertical shaft heading machine control unit, determining a plurality of sinking type vertical shaft heading machine control fault reasons related to the fault reason characteristic cluster from the sinking type vertical shaft heading machine control fault reason map space by combining the fault reason characteristic cluster of the sinking type vertical shaft heading machine control unit;
configuring the data acquisition process for the control fault reasons of the plurality of sinking type vertical shaft heading machines to the related sinking type vertical shaft heading machine control units through the control process of the sinking type vertical shaft heading machines;
and determining a target sinking type vertical shaft heading machine control fault cause map associated with each sinking type vertical shaft heading machine control unit by combining the control response data of each sinking type vertical shaft heading machine control unit about the data acquisition process.
In this embodiment, for step S130, configuring the data acquisition process for the control fault cause map of the sinking vertical shaft heading machine to the associated sinking vertical shaft heading machine control unit through the control process of the sinking vertical shaft heading machine includes:
combining the current sinking type vertical shaft heading machine control data associated with the sinking type vertical shaft heading machine state data cluster, combining the sinking type vertical shaft heading machine control fault cause map before updating the current sinking type vertical shaft heading machine control fault cause map aiming at any sinking type vertical shaft heading machine control unit obtained by current analysis, and configuring the data acquisition flow to the associated sinking type vertical shaft heading machine control unit through the sinking type vertical shaft heading machine control process.
In this embodiment, the method described in this embodiment further includes:
and acquiring a data acquisition field associated with the data acquisition flow by combining the data acquisition flow, and recording the data acquisition field and the flow configuration data of the data acquisition flow.
Fig. 3 is a functional block diagram of the data acquisition system 13 (as shown in fig. 1) in the control process of the sinking vertical shaft heading machine according to an embodiment of the present invention, where the functions implemented by the data acquisition system 13 in the control process of the sinking vertical shaft heading machine may correspond to the steps executed by the method. In other embodiments, the data acquisition system 13 in the control process of the sinking type vertical shaft heading machine may be understood as the service platform 100 for the control process of the sinking type vertical shaft heading machine, or the processor 11 of the service platform for the control process of the sinking type vertical shaft heading machine, or may be understood as a component which is independent from the service platform 100 for the control process of the sinking type vertical shaft heading machine or the processor 11 and realizes the functions of the invention under the control of the service platform 100 for the control process of the sinking type vertical shaft heading machine, as shown in fig. 3, and the functions of each functional module of the data acquisition system in the control process of the sinking type vertical shaft heading machine are explained in detail below.
An obtaining module 310, configured to obtain a sinking type vertical shaft heading machine state data cluster by combining sinking type vertical shaft heading machine state data, which is loaded in a control process of the sinking type vertical shaft heading machine and is marked with a sinking type vertical shaft heading machine state transaction event;
a determining module 320, configured to determine, in combination with the sinking type vertical shaft heading machine state data cluster, a sinking type vertical shaft heading machine abnormal feature point cluster associated with the sinking type vertical shaft heading machine state data cluster, where the sinking type vertical shaft heading machine abnormal feature point cluster includes sinking type vertical shaft heading machine abnormal feature data of different sinking type vertical shaft heading machine control stages of the sinking type vertical shaft heading machine state transaction event;
a configuration module 330, configured to combine the sinking type vertical shaft heading machine abnormal characteristic point cluster to generate a sinking type vertical shaft heading machine control fault cause map associated with different sinking type vertical shaft heading machine state transaction events in the sinking type vertical shaft heading machine state data cluster; and establishing a data acquisition flow marked with the control fault cause map of the sinking vertical shaft heading machine and the state transaction event of the sinking vertical shaft heading machine by combining the control fault cause map of the sinking vertical shaft heading machine and the state data of the sinking vertical shaft heading machine in the control process of the sinking vertical shaft heading machine, and configuring the data acquisition flow to a related sinking vertical shaft heading machine control unit through the control process of the sinking vertical shaft heading machine.
In this embodiment, the determining module is specifically configured to:
and transmitting the state data cluster of the sinking type vertical shaft heading machine to a trained abnormal characteristic point analysis model of the sinking type vertical shaft heading machine, analyzing the state data cluster of the sinking type vertical shaft heading machine by combining the abnormal characteristic point analysis model of the sinking type vertical shaft heading machine, and determining the related abnormal characteristic point cluster of the sinking type vertical shaft heading machine.
In this embodiment, the configuration module is specifically configured to:
determining fault cause characteristic clusters which are respectively associated with each sinking type vertical shaft heading machine control unit and are included in the sinking type vertical shaft heading machine abnormal characteristic point clusters by combining the sinking type vertical shaft heading machine abnormal characteristic point clusters; and matching the control fault cause map of the sinking type vertical shaft heading machine associated with the fault cause feature cluster of each sinking type vertical shaft heading machine control unit from the trained control fault cause map space of the sinking type vertical shaft heading machine in combination with the fault cause feature cluster.
In this embodiment, the configuration module is further configured to:
for each sinking type vertical shaft heading machine control unit, determining a plurality of sinking type vertical shaft heading machine control fault reasons related to the fault reason characteristic cluster from the sinking type vertical shaft heading machine control fault reason map space by combining the fault reason characteristic cluster of the sinking type vertical shaft heading machine control unit;
configuring the data acquisition process for the control fault reasons of the plurality of sinking type vertical shaft heading machines to the related sinking type vertical shaft heading machine control units through the control process of the sinking type vertical shaft heading machines;
and determining a target sinking type vertical shaft heading machine control fault cause map associated with each sinking type vertical shaft heading machine control unit by combining control response data of each sinking type vertical shaft heading machine control unit about the data acquisition flow.
In this embodiment, the configuration module is further configured to:
combining the current sinking type vertical shaft heading machine control data associated with the sinking type vertical shaft heading machine state data cluster, combining the sinking type vertical shaft heading machine control fault cause map before updating the current sinking type vertical shaft heading machine control fault cause map aiming at any sinking type vertical shaft heading machine control unit obtained by current analysis, and configuring the data acquisition flow to the associated sinking type vertical shaft heading machine control unit through the sinking type vertical shaft heading machine control process.
In this embodiment, the system further includes:
the recording module 340 is configured to, in combination with the data acquisition process, obtain a data acquisition field associated with the data acquisition process, and record the data acquisition field and process configuration data of the data acquisition process.
To sum up, in the method and system for acquiring data during controlling a sinking vertical shaft heading machine according to the embodiments of the present invention, the sinking vertical shaft heading machine state data, which is loaded during controlling the sinking vertical shaft heading machine and is labeled with a sinking vertical shaft heading machine state transaction event, is first combined to obtain a sinking vertical shaft heading machine state data cluster, then the sinking vertical shaft heading machine state data cluster is combined to determine a sinking vertical shaft heading machine abnormal feature point cluster associated with the sinking vertical shaft heading machine state data cluster, the sinking vertical shaft heading machine abnormal feature point cluster includes sinking vertical shaft heading machine state transaction events, which are associated with sinking vertical shaft heading machine state transaction events at different sinking vertical shaft heading machine control stages, and then the sinking vertical shaft heading machine abnormal feature point cluster is combined to generate sinking vertical shaft heading machine state transaction events associated with different sinking vertical shaft heading machine state transaction events in the sinking vertical shaft heading machine state data cluster And finally, establishing a data acquisition flow marked with the control fault cause map of the sinking vertical shaft heading machine and the state transaction event of the sinking vertical shaft heading machine by combining the control fault cause map of the sinking vertical shaft heading machine and the state data of the sinking vertical shaft heading machine in the control process of the sinking vertical shaft heading machine, and configuring the data acquisition flow to a related control unit of the sinking vertical shaft heading machine through the control process of the sinking vertical shaft heading machine. Therefore, the corresponding control fault cause map of the sinking type vertical shaft heading machine is generated by analyzing the abnormal characteristic data of the sinking type vertical shaft heading machine of different control units of the sinking type vertical shaft heading machine, the control fault cause map of the sinking type vertical shaft heading machine and information such as state data of the sinking type vertical shaft heading machine in the control process of the sinking type vertical shaft heading machine are combined for intercepting configuration, and the pertinence of relevant data acquisition after fault triggering can be improved.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again. The functional modules in the embodiments of the present invention may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
Alternatively, all or part of the implementation may be in software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When loaded and executed on a computer, cause the processes or functions described in accordance with the embodiments of the invention to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another computer readable storage medium, for example, the computer instructions may be transmitted from one website, computer, or data center to another website, computer, or data center via wired (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server, data center, etc. having one or more of the available media integrated therewith. The usable medium may be a magnetic medium (e.g., floppy Disk, hard Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.
It should be noted that, in this document, the terms "comprises," "comprising," "has," "having," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any drawing credit or debit acknowledgement in the claims should not be construed as limiting the claim concerned.
Claims (10)
1. A data acquisition method in the control process of a sinking type vertical shaft heading machine is characterized by comprising the following steps:
combining the state data of the sinking type vertical shaft heading machine, which is loaded in the control process of the sinking type vertical shaft heading machine and is marked with the state transaction event of the sinking type vertical shaft heading machine, and acquiring a state data cluster of the sinking type vertical shaft heading machine;
determining a sinking type vertical shaft heading machine abnormal characteristic point cluster related to the sinking type vertical shaft heading machine state data cluster by combining the sinking type vertical shaft heading machine state data cluster, wherein the sinking type vertical shaft heading machine abnormal characteristic point cluster comprises sinking type vertical shaft heading machine control units respectively related to sinking type vertical shaft heading machine state abnormal events aiming at sinking type vertical shaft heading machine abnormal characteristic data of different sinking type vertical shaft heading machine control stages;
and combining the abnormal characteristic point cluster of the sinking type vertical shaft heading machine, generating a sinking type vertical shaft heading machine control fault cause map associated with different sinking type vertical shaft heading machine state transaction events in the sinking type vertical shaft heading machine state data cluster, combining the sinking type vertical shaft heading machine control fault cause map and sinking type vertical shaft heading machine state data in the sinking type vertical shaft heading machine control process, creating a data acquisition process labeled with the sinking type vertical shaft heading machine control fault cause map and the sinking type vertical shaft heading machine state transaction events, and configuring the data acquisition process to an associated sinking type vertical shaft heading machine control unit through the sinking type vertical shaft heading machine control process.
2. The method according to claim 1, wherein the determining a sunk vertical shaft heading machine abnormal characteristic point cluster associated with the sunk vertical shaft heading machine state data cluster in combination with the sunk vertical shaft heading machine state data cluster comprises:
and transmitting the state data cluster of the sinking type vertical shaft heading machine to a trained abnormal characteristic point analysis model of the sinking type vertical shaft heading machine, analyzing the state data cluster of the sinking type vertical shaft heading machine by combining the abnormal characteristic point analysis model of the sinking type vertical shaft heading machine, and determining the related abnormal characteristic point cluster of the sinking type vertical shaft heading machine.
3. The method according to claim 1, wherein generating a sunken vertical boring machine control fault cause map associated with different sunken vertical boring machine state transaction events in the sunken vertical boring machine state data cluster in combination with the sunken vertical boring machine abnormal feature point cluster comprises:
determining fault cause characteristic clusters which are respectively associated with each sinking type vertical shaft heading machine control unit and are included in the sinking type vertical shaft heading machine abnormal characteristic point clusters by combining the sinking type vertical shaft heading machine abnormal characteristic point clusters;
and matching the control fault cause map of the sinking type vertical shaft heading machine associated with the fault cause feature cluster of each sinking type vertical shaft heading machine control unit from the trained control fault cause map space of the sinking type vertical shaft heading machine in combination with the fault cause feature cluster.
4. A method according to claim 3, wherein matching a sunken vertical boring machine control fault cause map associated with the fault cause feature cluster of each sunken vertical boring machine control unit from a trained sunken vertical boring machine control fault cause map space in conjunction with the fault cause feature cluster comprises:
for each sinking type vertical shaft heading machine control unit, determining a plurality of sinking type vertical shaft heading machine control fault reasons related to the fault reason characteristic cluster from the sinking type vertical shaft heading machine control fault reason map space by combining the fault reason characteristic cluster of the sinking type vertical shaft heading machine control unit;
configuring the data acquisition process for the control fault reasons of the plurality of sinking type vertical shaft heading machines to the related sinking type vertical shaft heading machine control units through the control process of the sinking type vertical shaft heading machines;
determining a target sinking type vertical shaft heading machine control fault cause map associated with each sinking type vertical shaft heading machine control unit by combining control response data of each sinking type vertical shaft heading machine control unit about the data acquisition process;
the creating and marking of the control fault cause map of the sinking type vertical shaft heading machine and the data acquisition process of the state transaction event of the sinking type vertical shaft heading machine, and the configuring of the data acquisition process to the related sinking type vertical shaft heading machine control unit through the control process of the sinking type vertical shaft heading machine comprises the following steps:
combining the current sinking type vertical shaft heading machine control data associated with the sinking type vertical shaft heading machine state data cluster, combining the sinking type vertical shaft heading machine control fault cause map before updating the current sinking type vertical shaft heading machine control fault cause map aiming at any sinking type vertical shaft heading machine control unit obtained by current analysis, and configuring the data acquisition flow to the associated sinking type vertical shaft heading machine control unit through the sinking type vertical shaft heading machine control process.
5. The method of claim 1, further comprising:
and combining the data acquisition flow to acquire a data acquisition field associated with the data acquisition flow, and recording the data acquisition field and flow configuration data of the data acquisition flow.
6. A data acquisition system in the control process of a sinking type vertical shaft heading machine is characterized by comprising:
the acquisition module is used for acquiring a state data cluster of the sinking type vertical shaft heading machine by combining the state data of the sinking type vertical shaft heading machine, which is loaded in the control process of the sinking type vertical shaft heading machine and is marked with a state transaction event of the sinking type vertical shaft heading machine;
the determining module is used for determining a sinking type vertical shaft heading machine abnormal characteristic point cluster related to the sinking type vertical shaft heading machine state data cluster by combining the sinking type vertical shaft heading machine state data cluster, wherein the sinking type vertical shaft heading machine abnormal characteristic point cluster comprises sinking type vertical shaft heading machine abnormal characteristic data of different sinking type vertical shaft heading machine control stages of the sinking type vertical shaft heading machine state transaction event;
the configuration module is used for combining the sinking type vertical shaft heading machine abnormal characteristic point cluster, generating a sinking type vertical shaft heading machine control fault cause map associated with different sinking type vertical shaft heading machine state abnormal events in the sinking type vertical shaft heading machine state data cluster, combining the sinking type vertical shaft heading machine control fault cause map and sinking type vertical shaft heading machine state data in the sinking type vertical shaft heading machine control process, creating a data acquisition process marked with the sinking type vertical shaft heading machine control fault cause map and the sinking type vertical shaft heading machine state abnormal events, and configuring the data acquisition process to a related sinking type vertical shaft heading machine control unit through the sinking type vertical shaft heading machine control process.
7. The system according to claim 6, wherein the determining module is specifically configured to:
and transmitting the state data cluster of the sinking type vertical shaft heading machine to a trained abnormal characteristic point analysis model of the sinking type vertical shaft heading machine, analyzing the state data cluster of the sinking type vertical shaft heading machine by combining the abnormal characteristic point analysis model of the sinking type vertical shaft heading machine, and determining the related abnormal characteristic point cluster of the sinking type vertical shaft heading machine.
8. The system according to claim 6, wherein the configuration module is specifically configured to:
determining fault cause characteristic clusters which are respectively associated with each sinking type vertical shaft heading machine control unit and are included in the sinking type vertical shaft heading machine abnormal characteristic point clusters by combining the sinking type vertical shaft heading machine abnormal characteristic point clusters;
and matching the control fault cause map of the sinking type vertical shaft heading machine associated with the fault cause feature cluster of each sinking type vertical shaft heading machine control unit from the trained control fault cause map space of the sinking type vertical shaft heading machine in combination with the fault cause feature cluster.
9. The system of claim 8, wherein the configuration module is further configured to:
for each sinking type vertical shaft heading machine control unit, determining a plurality of sinking type vertical shaft heading machine control fault reasons related to the fault reason characteristic cluster from the sinking type vertical shaft heading machine control fault reason map space by combining the fault reason characteristic cluster of the sinking type vertical shaft heading machine control unit;
configuring the data acquisition process for the control fault reasons of the plurality of sinking type vertical shaft heading machines to the related sinking type vertical shaft heading machine control units through the control process of the sinking type vertical shaft heading machines;
determining a target sinking type vertical shaft heading machine control fault cause map associated with each sinking type vertical shaft heading machine control unit by combining control response data of each sinking type vertical shaft heading machine control unit about the data acquisition process;
the configuration module is further to:
combining the current sinking type vertical shaft heading machine control data associated with the sinking type vertical shaft heading machine state data cluster, combining the sinking type vertical shaft heading machine control fault cause map before updating the current sinking type vertical shaft heading machine control fault cause map aiming at any sinking type vertical shaft heading machine control unit obtained by current analysis, and configuring the data acquisition flow to the associated sinking type vertical shaft heading machine control unit through the sinking type vertical shaft heading machine control process.
10. The system according to claim 9, wherein the system further comprises:
and the recording module is used for acquiring a data acquisition field associated with the data acquisition flow by combining the data acquisition flow and recording the data acquisition field and the flow configuration data of the data acquisition flow.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210547113.8A CN114841279A (en) | 2022-05-20 | 2022-05-20 | Data acquisition method and system in control process of sinking type vertical shaft heading machine |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202210547113.8A CN114841279A (en) | 2022-05-20 | 2022-05-20 | Data acquisition method and system in control process of sinking type vertical shaft heading machine |
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| CN202210547113.8A Pending CN114841279A (en) | 2022-05-20 | 2022-05-20 | Data acquisition method and system in control process of sinking type vertical shaft heading machine |
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| CN (1) | CN114841279A (en) |
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