Data acquisition method and system in the control process of sinking shaft boring machine

Abstract

The data collection method and system in the control process of a sinking shaft boring machine provided by the embodiment of the present invention, in combination with the sinking shaft boring machine state data cluster, determine the associated sinking shaft boring machine abnormal feature point cluster, then in combination with the sinking shaft boring machine abnormal feature point cluster, generate a sinking shaft boring machine control fault cause map associated with different sinking shaft boring machine state abnormality events in the sinking shaft boring machine state data cluster, finally, in combination with the sinking shaft boring machine control fault cause map and the sinking shaft boring machine state data of the sinking shaft boring machine control process, create a data collection process annotated with the sinking shaft boring machine control fault cause map and the sinking shaft boring machine state abnormality events, and configure the data collection process to the associated sinking shaft boring machine control unit through the sinking shaft boring machine control process. In this way, the pertinence of relevant data collection after fault triggering can be improved.

Description

Technical Field

[0001] The present invention relates to the technical field of a sinking shaft boring machine, and in particular to a data collection method and system in a control process of a sinking shaft boring machine. Background Art

[0002] In the process of controlling a sinking shaft boring machine, there are often some abnormal state events of the sinking shaft boring machine, which lead to fault triggering. How to improve the pertinence of relevant data collection after the fault is triggered is a technical problem that needs to be solved urgently. Summary of the invention

[0003] In order to solve the above problems, an embodiment of the present invention provides a data collection method in a control process of a sinking shaft boring machine, comprising:

[0004] Acquire a sinking shaft boring machine state data cluster in combination with the sinking shaft boring machine state data loaded during the sinking shaft boring machine control process and marked with the sinking shaft boring machine state abnormality event;

[0005] In combination with the sinking shaft boring machine state data cluster, determining a sinking shaft boring machine abnormal feature point cluster associated with the sinking shaft boring machine state data cluster, the sinking shaft boring machine abnormal feature point cluster comprising the sinking shaft boring machine abnormal feature data of the sinking shaft boring machine state change event for different sinking shaft boring machine control stages;

[0006] In combination with the abnormal feature point cluster of the sinking shaft boring machine, a sinking shaft boring machine control fault cause map associated with different sinking shaft boring machine state abnormality events in the sinking shaft boring machine state data cluster is generated; In combination with the sinking shaft boring machine control fault cause map and the sinking shaft boring machine state data of the sinking shaft boring machine control process, a data collection process annotated with the sinking shaft boring machine control fault cause map and the sinking shaft boring machine state abnormality events is created, and the data collection process is configured to the associated sinking shaft boring machine control unit through the sinking shaft boring machine control process.

[0007] Wherein, the combining the state data cluster of the sinking vertical shaft boring machine to determine the abnormal feature point cluster of the sinking vertical shaft boring machine associated with the state data cluster of the sinking vertical shaft boring machine comprises:

[0008] The sinking shaft boring machine state data cluster is transferred to the trained sinking shaft boring machine abnormal feature point parsing model, and the sinking shaft boring machine state data cluster is parsed in combination with the sinking shaft boring machine abnormal feature point parsing model to determine the associated sinking shaft boring machine abnormal feature point cluster.

[0009] Wherein, in combination with the abnormal feature point cluster of the sinking shaft boring machine, a sinking shaft boring machine control fault cause map associated with different sinking shaft boring machine state abnormality events in the sinking shaft boring machine state data cluster is generated, including:

[0010] In combination with the abnormal feature point cluster of the sinking shaft boring machine, determining the fault cause feature clusters respectively associated with each sinking shaft boring machine control unit included in the abnormal feature point cluster of the sinking shaft boring machine;

[0011] In combination with the fault cause feature cluster, a sinking shaft boring machine control fault cause map associated with the fault cause feature cluster of each sinking shaft boring machine control unit is matched from the trained sinking shaft boring machine control fault cause map space.

[0012] Among them, in combination with the fault cause feature cluster, matching the sunken vertical shaft boring machine control fault cause map associated with the fault cause feature cluster of each sunken vertical shaft boring machine control unit from the trained sunken vertical shaft boring machine control fault cause map space includes:

[0013] For each of the sinking shaft boring machine control units, in combination with the fault cause feature cluster of the sinking shaft boring machine control unit, a plurality of sinking shaft boring machine control fault causes associated with the fault cause feature cluster are determined from the sinking shaft boring machine control fault cause spectrum space;

[0014] The multiple reasons for the control failures of the sinking shaft boring machine are configured as the data collection process to the associated sinking shaft boring machine control unit through the sinking shaft boring machine control process;

[0015] In combination with the control response data of each of the sinking shaft boring machine control units regarding the data collection process, a target sinking shaft boring machine control fault cause map associated with the sinking shaft boring machine control unit is determined.

[0016] The step of creating a data collection process that annotates the control fault cause map of the sinking shaft boring machine and the state change event of the sinking shaft boring machine, and configuring the data collection process to the associated sinking shaft boring machine control unit through the control process of the sinking shaft boring machine, includes:

[0017] In combination with the current sinking shaft boring machine control data associated with the sinking shaft boring machine status data cluster, in combination with the current sinking shaft boring machine control fault cause map for any sinking shaft boring machine control unit obtained by current analysis, the previous sinking shaft boring machine control fault cause map is updated, and the data collection process is configured to the associated sinking shaft boring machine control unit through the sinking shaft boring machine control process;

[0018] The method further comprises:

[0019] In combination with the data collection process, a data collection field associated with the data collection process is obtained, and the data collection field and the process configuration data of the data collection process are recorded.

[0020] The present invention also provides a data acquisition system in the control process of a sinking shaft boring machine, comprising:

[0021] An acquisition module, used for acquiring a sinking shaft boring machine state data cluster in combination with the sinking shaft boring machine state data marked with the sinking shaft boring machine state change event loaded during the sinking shaft boring machine control process;

[0022] a determination module, for determining, in combination with the sinking shaft boring machine state data cluster, a sinking shaft boring machine abnormal feature point cluster associated with the sinking shaft boring machine state data cluster, wherein the sinking shaft boring machine abnormal feature point cluster includes the sinking shaft boring machine abnormal feature data of the sinking shaft boring machine state change event for different sinking shaft boring machine control stages;

[0023] A configuration module is used to generate a sinking shaft boring machine control fault cause map associated with different sinking shaft boring machine state abnormality events in the sinking shaft boring machine state data cluster in combination with the sinking shaft boring machine abnormal feature point cluster; create a data collection process annotated with the sinking shaft boring machine control fault cause map and the sinking shaft boring machine state abnormality events in combination with the sinking shaft boring machine control fault cause map and the sinking shaft boring machine state abnormality events, and configure the data collection process to the associated sinking shaft boring machine control unit through the sinking shaft boring machine control process.

[0024] Wherein, the determination module is specifically used for:

[0025] The sinking shaft boring machine state data cluster is transferred to the trained sinking shaft boring machine abnormal feature point parsing model, and the sinking shaft boring machine state data cluster is parsed in combination with the sinking shaft boring machine abnormal feature point parsing model to determine the associated sinking shaft boring machine abnormal feature point cluster.

[0026] Wherein, the configuration module is specifically used for:

[0027] In combination with the abnormal feature point cluster of the sinking vertical shaft boring machine, determine the fault cause feature clusters respectively associated with each sinking vertical shaft boring machine control unit included in the abnormal feature point cluster of the sinking vertical shaft boring machine; In combination with the fault cause feature cluster, match the sinking vertical shaft boring machine control fault cause atlas associated with the fault cause feature cluster of each sinking vertical shaft boring machine control unit from the trained sinking vertical shaft boring machine control fault cause atlas space.

[0028] Wherein, the configuration module is also used for:

[0029] For each of the sinking shaft boring machine control units, in combination with the fault cause feature cluster of the sinking shaft boring machine control unit, a plurality of sinking shaft boring machine control fault causes associated with the fault cause feature cluster are determined from the sinking shaft boring machine control fault cause spectrum space;

[0030] The multiple reasons for the control failures of the sinking shaft boring machine are configured as the data collection process to the associated sinking shaft boring machine control unit through the sinking shaft boring machine control process;

[0031] In combination with the control response data of each of the sinking shaft boring machine control units regarding the data collection process, a target sinking shaft boring machine control fault cause map associated with the sinking shaft boring machine control unit is determined.

[0032] Wherein, the configuration module is also used for:

[0033] In combination with the current sinking shaft boring machine control data associated with the sinking shaft boring machine status data cluster, in combination with the current sinking shaft boring machine control fault cause map for any sinking shaft boring machine control unit obtained by current analysis, the previous sinking shaft boring machine control fault cause map is updated, and the data collection process is configured to the associated sinking shaft boring machine control unit through the sinking shaft boring machine control process;

[0034] The data acquisition system in the control process of the sinking shaft boring machine also includes:

[0035] The recording module is used to obtain the data collection fields associated with the data collection process in combination with the data collection process, and record the data collection fields and the process configuration data of the data collection process.

[0036] In combination with the above content, the data collection method and system in the control process of a sinking shaft boring machine provided in an embodiment of the present invention first obtain a sinking shaft boring machine state data cluster in combination with the sinking shaft boring machine state data marked with the sinking shaft boring machine state abnormality event loaded in the control process of the sinking shaft boring machine, and then determine the sinking shaft boring machine abnormality feature point cluster associated with the sinking shaft boring machine state data cluster in combination with the sinking shaft boring machine state data cluster, the sinking shaft boring machine abnormality feature point cluster including the sinking shaft boring machine state abnormality event for different sinking shaft boring machine control stages, and the sinking shaft boring machine abnormality feature point cluster associated with the sinking shaft boring machine state data cluster. The method comprises the steps of: generating a sinking shaft boring machine control fault cause map associated with different sinking shaft boring machine state abnormality events in the sinking shaft boring machine state data cluster, combining the sinking shaft boring machine control fault cause map and the sinking shaft boring machine state data of the sinking shaft boring machine control process, creating a data collection process annotated with the sinking shaft boring machine control fault cause map and the sinking shaft boring machine state abnormality events, and configuring the data collection process to the associated sinking shaft boring machine control unit through the sinking shaft boring machine control process. In this way, the corresponding sinking shaft boring machine control fault cause map is generated by combining and analyzing the sinking shaft boring machine abnormal characteristic data of different sinking shaft boring machine control units, and the interception configuration is performed in combination with the sinking shaft boring machine control fault cause map and the sinking shaft boring machine status data of the sinking shaft boring machine control process and other information, which can improve the pertinence of relevant data collection after the fault is triggered.

[0037] In order to make the above-mentioned purposes, features and advantages of the embodiments of the present invention more obvious and easy to understand, the embodiments will be described in detail below in conjunction with the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for use in the embodiments are briefly introduced below. It should be understood that the following drawings are only some embodiments of the present invention and should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained by combining these drawings without creative work.

[0039] Figure 1It is a schematic diagram of a control process platform of a sinking vertical shaft boring machine for realizing a data collection method in the control process of a sinking vertical shaft boring machine provided by an embodiment of the present invention.

[0040] Figure 2 It is a flow chart of a data collection method in a control process of a sinking shaft boring machine provided by an embodiment of the present invention;

[0041] Figure 3 It is a functional module block diagram of a data acquisition system in a control process of a sinking shaft boring machine provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0042] In order to enable students in the technical field to better understand the scheme of the present invention, the technical scheme in the embodiment of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiment of the present invention. Obviously, the described embodiment is only a part of the embodiment of the present invention, not all of the embodiments. In conjunction with the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0043] Figure 1 Schematic diagram of a sinking shaft boring machine control process service platform 100 for implementing a data collection method in a sinking shaft boring machine control process provided by an embodiment of the present invention.

[0044] In this embodiment, the sinking shaft boring machine control process service platform 100 can be a device with information processing and analysis capabilities such as a server, a server cluster, a computer device, a cloud service center, etc. The sinking shaft boring machine control process service platform 100 can include one or more processors 11, such as one or more central processing units (CPUs), and each processing unit can implement one or more hardware threads. The sinking shaft boring machine control process service platform can also include a machine-readable storage medium 12, which is used to store any kind of information such as code, settings, data, etc. Non-limiting, for example, the machine-readable storage medium can include any one or more combinations of the following: any type of RAM, any type of ROM, flash memory device, hard disk, optical disk, etc. More generally, the machine-readable storage medium can use any technology to store information. Further, the machine-readable storage medium can provide volatile or non-volatile retention of information. Further, the machine-readable storage medium can represent a fixed or removable component of the sinking shaft boring machine control process service platform 100. In one case, when the processor 11 executes the associated instructions stored in the machine-readable storage medium 12 or a combination of storage media, the sinking shaft boring machine control process service platform 100 can perform any operation of the associated instructions. The sinking shaft boring machine control process service platform 100 also includes one or more drive units for interacting with the machine-readable storage medium, such as a hard disk drive unit, an optical disk drive unit, etc.

[0045] In addition, the vertical shaft boring machine control process service platform 100 may also include an input / output (I / O) for receiving various inputs (via an input unit) and for providing various outputs (via an output unit). A specific output mechanism may include a presentation device and an associated graphical user interface (GUI). The vertical shaft boring machine control process service platform 100 may also include one or more network interfaces for exchanging data with other devices via one or more communication units. One or more communication buses couple the components described above together.

[0046] The communication unit can be implemented in any manner, for example, through a local area network, a wide area network (e.g., the Internet), a point-to-point connection, etc., or any combination thereof. The communication unit can include any combination of hardwired links, wireless links, routers, gateway functions, etc. governed by any protocol or combination of protocols.

[0047] like Figure 2 , which is a flow chart of a data collection method in a control process of a sinking shaft boring machine provided by an embodiment of the present invention. The detailed steps of the data collection method in a control process of a sinking shaft boring machine are introduced as follows.

[0048] Step S110, combining the sinking shaft boring machine state data loaded in the sinking shaft boring machine control process and marked with the sinking shaft boring machine state change event, to obtain the sinking shaft boring machine state data cluster.

[0049] Step S120, combining the sinking shaft boring machine state data cluster, determining a sinking shaft boring machine abnormal feature point cluster associated with the sinking shaft boring machine state data cluster, wherein the sinking shaft boring machine abnormal feature point cluster includes the sinking shaft boring machine abnormal feature data of the sinking shaft boring machine state change event for different sinking shaft boring machine control stages.

[0050] Step S130, combining the abnormal feature point cluster of the sinking vertical shaft boring machine, generating a sinking vertical shaft boring machine control fault cause map associated with different sinking vertical shaft boring machine state abnormality events in the sinking vertical shaft boring machine state data cluster; combining the sinking vertical shaft boring machine control fault cause map and the sinking vertical shaft boring machine state data of the sinking vertical shaft boring machine control process, creating a data collection process annotated with the sinking vertical shaft boring machine control fault cause map and the sinking vertical shaft boring machine state abnormality events, and configuring the data collection process to the associated sinking vertical shaft boring machine control unit through the sinking vertical shaft boring machine control process.

[0051] In this embodiment, with respect to step S120, the step of determining the abnormal feature point cluster of the sunken shaft boring machine associated with the sunken shaft boring machine status data cluster in combination with the sunken shaft boring machine status data cluster includes:

[0052] The sinking shaft boring machine state data cluster is transferred to the trained sinking shaft boring machine abnormal feature point parsing model, and the sinking shaft boring machine state data cluster is parsed in combination with the sinking shaft boring machine abnormal feature point parsing model to determine the associated sinking shaft boring machine abnormal feature point cluster.

[0053] In this embodiment, with respect to step S130, in combination with the abnormal feature point cluster of the sinking shaft boring machine, a sinking shaft boring machine control fault cause map associated with different sinking shaft boring machine state abnormality events in the sinking shaft boring machine state data cluster is generated, including:

[0054] In combination with the abnormal feature point cluster of the sinking vertical shaft boring machine, determine the fault cause feature clusters respectively associated with each sinking vertical shaft boring machine control unit included in the abnormal feature point cluster of the sinking vertical shaft boring machine; In combination with the fault cause feature cluster, match the sinking vertical shaft boring machine control fault cause atlas associated with the fault cause feature cluster of each sinking vertical shaft boring machine control unit from the trained sinking vertical shaft boring machine control fault cause atlas space.

[0055] In this embodiment, for step S130, in combination with the fault cause feature cluster, matching the sinking shaft boring machine control fault cause map associated with the fault cause feature cluster of each sinking shaft boring machine control unit from the sinking shaft boring machine control fault cause map space includes:

[0056] For each of the sinking shaft boring machine control units, in combination with the fault cause feature cluster of the sinking shaft boring machine control unit, a plurality of sinking shaft boring machine control fault causes associated with the fault cause feature cluster are determined from the sinking shaft boring machine control fault cause spectrum space;

[0057] The multiple reasons for the control failures of the sinking shaft boring machine are configured as the data collection process to the associated sinking shaft boring machine control unit through the sinking shaft boring machine control process;

[0058] In combination with the control response data of each of the sinking shaft boring machine control units regarding the data collection process, a target sinking shaft boring machine control fault cause map associated with the sinking shaft boring machine control unit is determined.

[0059] In this embodiment, with respect to step S130, the configuring the data collection process of transmitting the control fault cause map of the sinking shaft boring machine to the associated sinking shaft boring machine control unit through the control process of the sinking shaft boring machine includes:

[0060] Combined with the current sinking shaft boring machine control data associated with the sinking shaft boring machine status data cluster, combined with the current sinking shaft boring machine control fault cause map for any sinking shaft boring machine control unit obtained by the current analysis, the previous sinking shaft boring machine control fault cause map is updated, and the data collection process is configured to the associated sinking shaft boring machine control unit through the sinking shaft boring machine control process.

[0061] In this embodiment, the method described in this embodiment also includes:

[0062] In combination with the data collection process, a data collection field associated with the data collection process is obtained, and the data collection field and the process configuration data of the data collection process are recorded.

[0063] Figure 3 The data acquisition system 13 (such as Figure 1 ), the functions implemented by the data acquisition system 13 in the control process of the sinking shaft boring machine may correspond to the steps executed by the above-mentioned method. In other embodiments, the data acquisition system 13 in the control process of the sinking shaft boring machine may be understood as the above-mentioned sinking shaft boring machine control process service platform 100, or the processor 11 of the sinking shaft boring machine control process service platform, or may be understood as a component independent of the above-mentioned sinking shaft boring machine control process service platform 100 or the processor 11 that implements the functions of the present invention under the control of the sinking shaft boring machine control process service platform 100, such as Figure 3 As shown, the functions of each functional module of the data acquisition system in the control process of the sinking shaft boring machine are described in detail below.

[0064] The acquisition module 310 is used to acquire the sinking shaft boring machine state data cluster in combination with the sinking shaft boring machine state data marked with the sinking shaft boring machine state change event loaded during the sinking shaft boring machine control process;

[0065] A determination module 320 is used to determine, in combination with the sinking shaft boring machine state data cluster, a sinking shaft boring machine abnormal feature point cluster associated with the sinking shaft boring machine state data cluster, wherein the sinking shaft boring machine abnormal feature point cluster includes the sinking shaft boring machine abnormal feature data of the sinking shaft boring machine state change event for different sinking shaft boring machine control stages;

[0066] The configuration module 330 is used to generate a sinking shaft boring machine control fault cause map associated with different sinking shaft boring machine state abnormality events in the sinking shaft boring machine state data cluster in combination with the sinking shaft boring machine abnormality feature point cluster; create a data collection process annotated with the sinking shaft boring machine control fault cause map and the sinking shaft boring machine state abnormality events in combination with the sinking shaft boring machine control fault cause map and the sinking shaft boring machine state abnormality events, and configure the data collection process to the associated sinking shaft boring machine control unit through the sinking shaft boring machine control process.

[0067] In this embodiment, the determining module is specifically used to:

[0068] The sinking shaft boring machine state data cluster is transferred to the trained sinking shaft boring machine abnormal feature point parsing model, and the sinking shaft boring machine state data cluster is parsed in combination with the sinking shaft boring machine abnormal feature point parsing model to determine the associated sinking shaft boring machine abnormal feature point cluster.

[0069] In this embodiment, the configuration module is specifically used for:

[0070] In combination with the abnormal feature point cluster of the sinking vertical shaft boring machine, determine the fault cause feature clusters respectively associated with each sinking vertical shaft boring machine control unit included in the abnormal feature point cluster of the sinking vertical shaft boring machine; In combination with the fault cause feature cluster, match the sinking vertical shaft boring machine control fault cause atlas associated with the fault cause feature cluster of each sinking vertical shaft boring machine control unit from the trained sinking vertical shaft boring machine control fault cause atlas space.

[0071] In this embodiment, the configuration module is also used for:

[0072] For each of the sinking shaft boring machine control units, in combination with the fault cause feature cluster of the sinking shaft boring machine control unit, a plurality of sinking shaft boring machine control fault causes associated with the fault cause feature cluster are determined from the sinking shaft boring machine control fault cause spectrum space;

[0073] The multiple reasons for the control failures of the sinking shaft boring machine are configured as the data collection process to the associated sinking shaft boring machine control unit through the sinking shaft boring machine control process;

[0074] In combination with the control response data of each of the sinking shaft boring machine control units regarding the data collection process, a target sinking shaft boring machine control fault cause map associated with the sinking shaft boring machine control unit is determined.

[0075] In this embodiment, the configuration module is also used for:

[0076] Combined with the current sinking shaft boring machine control data associated with the sinking shaft boring machine status data cluster, combined with the current sinking shaft boring machine control fault cause map for any sinking shaft boring machine control unit obtained by the current analysis, the previous sinking shaft boring machine control fault cause map is updated, and the data collection process is configured to the associated sinking shaft boring machine control unit through the sinking shaft boring machine control process.

[0077] In this embodiment, the system further includes:

[0078] The recording module 340 is used to obtain the data collection fields associated with the data collection process in combination with the data collection process, and record the data collection fields and the process configuration data of the data collection process.

[0079] In summary, the data acquisition method and system in the control process of a sinking shaft boring machine provided in an embodiment of the present invention first obtain a sinking shaft boring machine state data cluster in combination with the sinking shaft boring machine state data marked with the sinking shaft boring machine state abnormality event loaded in the control process of the sinking shaft boring machine, and then determine the sinking shaft boring machine abnormal feature point cluster associated with the sinking shaft boring machine state data cluster in combination with the sinking shaft boring machine state data cluster, wherein the sinking shaft boring machine abnormal feature point cluster includes the sinking shaft boring machine abnormal feature point cluster of the sinking shaft boring machine state abnormality event for different sinking shaft boring machine control stages. The data is then combined with the abnormal feature point cluster of the sinking shaft boring machine to generate a sinking shaft boring machine control fault cause map associated with different sinking shaft boring machine state abnormality events in the sinking shaft boring machine state data cluster; finally, combined with the sinking shaft boring machine control fault cause map and the sinking shaft boring machine state data of the sinking shaft boring machine control process, a data collection process annotated with the sinking shaft boring machine control fault cause map and the sinking shaft boring machine state abnormality events is created, and the data collection process is configured to the associated sinking shaft boring machine control unit through the sinking shaft boring machine control process. In this way, the corresponding sinking shaft boring machine control fault cause map is generated by combining and analyzing the sinking shaft boring machine abnormal characteristic data of different sinking shaft boring machine control units, and the interception configuration is performed in combination with the sinking shaft boring machine control fault cause map and the sinking shaft boring machine status data of the sinking shaft boring machine control process and other information, which can improve the pertinence of relevant data collection after the fault is triggered.

[0080] Those skilled in the art can clearly understand that, for the convenience and simplicity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments, and will not be repeated here. The functional modules in various embodiments of the present invention can be integrated together to form an independent part, or each module can exist separately, or two or more modules can be integrated to form an independent part.

[0081] Alternatively, it can be implemented in whole or in part by software, hardware, firmware or any combination thereof. When implemented by software, it can 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 the computer program instructions are loaded and executed on a computer, the process or function described in the embodiment of the present invention is generated in whole or in part. The computer may be a general-purpose computer, a special-purpose computer, a computer network, 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 site, computer or data center to another website site, computer or data center by wired (e.g., coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium may be any available medium that a computer can access or a data storage device such as a server or data center integrated with one or more available media. The available medium may be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium (e.g., a solid-state drive Solid State Disk (SSD)), etc.

[0082] It should be noted that, in this article, the terms "include", "have" or any other variations thereof are intended to cover non-exclusive have, so that a process, method, article or device including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the sentence "includes a ..." does not exclude the existence of other identical elements in the process, method, article or device including the element.

[0083] It will be apparent to those skilled in the art that the invention is not limited to the details of the exemplary embodiments described above and that the invention can be implemented in other specific forms without departing from the spirit or essential features of the invention. Therefore, the embodiments should be considered in all respects as exemplary and non-restrictive, and the scope of the invention is defined by the appended claims rather than the foregoing description, and it is intended that all variations within the meaning and scope of the equivalent elements of the claims be included in the invention. Any drawings in the claims should not be considered as limiting the claims to which they relate.

Claims

1. A data collection method in the control process of a sinking shaft boring machine, characterized in that: include: Acquire a sinking shaft boring machine state data cluster in combination with the sinking shaft boring machine state data loaded during the sinking shaft boring machine control process and marked with the sinking shaft boring machine state abnormality event; In combination with the sinking shaft boring machine state data cluster, determining a sinking shaft boring machine abnormal feature point cluster associated with the sinking shaft boring machine state data cluster, the sinking shaft boring machine abnormal feature point cluster comprising the sinking shaft boring machine abnormal feature data of the sinking shaft boring machine control unit for different sinking shaft boring machine control stages respectively associated with the sinking shaft boring machine state abnormality events; In combination with the abnormal feature point cluster of the sinking shaft boring machine, a sinking shaft boring machine control fault cause map associated with different sinking shaft boring machine state abnormality events in the sinking shaft boring machine state data cluster is generated; in combination with the sinking shaft boring machine control fault cause map and the sinking shaft boring machine state data of the sinking shaft boring machine control process, a data collection process annotated with the sinking shaft boring machine control fault cause map and the sinking shaft boring machine state abnormality events is created; and the data collection process is configured to the associated sinking shaft boring machine control unit through the sinking shaft boring machine control process.

2. The method according to claim 1, characterized in that The step of combining the state data cluster of the sinking vertical shaft boring machine to determine the abnormal feature point cluster of the sinking vertical shaft boring machine associated with the state data cluster of the sinking vertical shaft boring machine comprises: The sinking shaft boring machine state data cluster is transferred to the trained sinking shaft boring machine abnormal feature point parsing model, and the sinking shaft boring machine state data cluster is parsed in combination with the sinking shaft boring machine abnormal feature point parsing model to determine the associated sinking shaft boring machine abnormal feature point cluster.

3. The method according to claim 1, characterized in that In combination with the abnormal feature point cluster of the sinking shaft boring machine, a sinking shaft boring machine control fault cause map associated with different sinking shaft boring machine state abnormality events in the sinking shaft boring machine state data cluster is generated, including: In combination with the abnormal feature point cluster of the sinking shaft boring machine, determining the fault cause feature clusters respectively associated with each sinking shaft boring machine control unit included in the abnormal feature point cluster of the sinking shaft boring machine; In combination with the fault cause feature cluster, a sinking shaft boring machine control fault cause map associated with the fault cause feature cluster of each sinking shaft boring machine control unit is matched from the trained sinking shaft boring machine control fault cause map space.

4. The method according to claim 3, characterized in that In combination with the fault cause feature cluster, matching the sunken shaft boring machine control fault cause graph associated with the fault cause feature cluster of each sunken shaft boring machine control unit from the trained sunken shaft boring machine control fault cause graph space, including: For each of the sinking shaft boring machine control units, in combination with the fault cause feature cluster of the sinking shaft boring machine control unit, a plurality of sinking shaft boring machine control fault causes associated with the fault cause feature cluster are determined from the sinking shaft boring machine control fault cause spectrum space; The multiple reasons for the control failures of the sinking shaft boring machine are configured as the data collection process to the associated sinking shaft boring machine control unit through the sinking shaft boring machine control process; Determine a target sinking shaft boring machine control fault cause map associated with the sinking shaft boring machine control unit in combination with the control response data of each sinking shaft boring machine control unit regarding the data acquisition process; The step of creating a data collection process that marks the cause map of the control failure of the sinking shaft boring machine and the abnormal state event of the sinking shaft boring machine, and configuring the data collection process to the associated sinking shaft boring machine control unit through the control process of the sinking shaft boring machine, includes: Combined with the current sinking shaft boring machine control data associated with the sinking shaft boring machine status data cluster, combined with the current sinking shaft boring machine control fault cause map for any sinking shaft boring machine control unit obtained by the current analysis, the previous sinking shaft boring machine control fault cause map is updated, and the data collection process is configured to the associated sinking shaft boring machine control unit through the sinking shaft boring machine control process.

5. The method according to claim 1, characterized in that The method further comprises: In combination with the data collection process, a data collection field associated with the data collection process is obtained, and the data collection field and the process configuration data of the data collection process are recorded.

6. A data acquisition system in the control process of a sinking shaft boring machine, characterized in that: include: An acquisition module, used for acquiring a sinking shaft boring machine state data cluster in combination with the sinking shaft boring machine state data marked with the sinking shaft boring machine state change event loaded during the sinking shaft boring machine control process; a determination module, for determining, in combination with the sinking shaft boring machine state data cluster, a sinking shaft boring machine abnormal feature point cluster associated with the sinking shaft boring machine state data cluster, wherein the sinking shaft boring machine abnormal feature point cluster includes the sinking shaft boring machine abnormal feature data of the sinking shaft boring machine state change event for different sinking shaft boring machine control stages; A configuration module is used to generate a sinking shaft boring machine control fault cause map associated with different sinking shaft boring machine state abnormality events in the sinking shaft boring machine state data cluster in combination with the sinking shaft boring machine abnormality feature point cluster, create a data collection process annotated with the sinking shaft boring machine control fault cause map and the sinking shaft boring machine state abnormality events in combination with the sinking shaft boring machine control fault cause map and the sinking shaft boring machine state data of the sinking shaft boring machine control process, and configure the data collection process to the associated sinking shaft boring machine control unit through the sinking shaft boring machine control process.

7. The data acquisition system in the control process of the sinking shaft boring machine according to claim 6, characterized in that: The determining module is specifically used for: The sinking shaft boring machine state data cluster is transferred to the trained sinking shaft boring machine abnormal feature point parsing model, and the sinking shaft boring machine state data cluster is parsed in combination with the sinking shaft boring machine abnormal feature point parsing model to determine the associated sinking shaft boring machine abnormal feature point cluster.

8. The data acquisition system in the control process of the sinking shaft boring machine according to claim 6, characterized in that: The configuration module is specifically used for: In combination with the abnormal feature point cluster of the sinking shaft boring machine, determining the fault cause feature clusters respectively associated with each sinking shaft boring machine control unit included in the abnormal feature point cluster of the sinking shaft boring machine; In combination with the fault cause feature cluster, a sinking shaft boring machine control fault cause map associated with the fault cause feature cluster of each sinking shaft boring machine control unit is matched from the trained sinking shaft boring machine control fault cause map space.

9. The data acquisition system in the control process of the sinking shaft boring machine according to claim 8, characterized in that: The configuration module is also used to: For each of the sinking shaft boring machine control units, in combination with the fault cause feature cluster of the sinking shaft boring machine control unit, a plurality of sinking shaft boring machine control fault causes associated with the fault cause feature cluster are determined from the sinking shaft boring machine control fault cause spectrum space; The multiple reasons for the control failures of the sinking shaft boring machine are configured as the data collection process to the associated sinking shaft boring machine control unit through the sinking shaft boring machine control process; Determine a target sinking shaft boring machine control fault cause map associated with the sinking shaft boring machine control unit in combination with the control response data of each sinking shaft boring machine control unit regarding the data acquisition process; The configuration module is also used to: Combined with the current sinking shaft boring machine control data associated with the sinking shaft boring machine status data cluster, combined with the current sinking shaft boring machine control fault cause map for any sinking shaft boring machine control unit obtained by the current analysis, the previous sinking shaft boring machine control fault cause map is updated, and the data collection process is configured to the associated sinking shaft boring machine control unit through the sinking shaft boring machine control process.

10. The data acquisition system in the control process of the sinking shaft boring machine according to claim 9, characterized in that: The data acquisition system in the control process of the sinking shaft boring machine also includes: The recording module is used to obtain the data collection fields associated with the data collection process in combination with the data collection process, and record the data collection fields and the process configuration data of the data collection process.

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