CN117347093B - Fault detection system based on drilling and production equipment measuring instrument - Google Patents
Fault detection system based on drilling and production equipment measuring instrument Download PDFInfo
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- E21B—EARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
- E21B44/00—Automatic control systems specially adapted for drilling operations, i.e. self-operating systems which function to carry out or modify a drilling operation without intervention of a human operator, e.g. computer-controlled drilling systems; Systems specially adapted for monitoring a plurality of drilling variables or conditions
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- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
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Abstract
The invention relates to the technical field of fault detection of drilling equipment and discloses a fault detection system based on a drilling equipment measuring instrument, wherein a frame comprises an equipment layer, a database layer and a control layer, the equipment layer comprises input equipment and output equipment, the input equipment comprises a plurality of measuring instruments, the output equipment comprises a display device and an equipment fault early warning device, the database layer is used for storing data acquired in the working process of the system, the control layer comprises a CPU, an attribute map construction module, an attribute map detection module, a fault early warning module and a communication module, and the attribute map construction module is used for constructing an attribute map based on various data of the drilling equipment; the attribute map detection module is used for measuring the similarity of attribute maps of different operation periods of the drilling equipment; the fault early warning module is used for carrying out fault early warning on drilling equipment. The invention can detect the fault of the drilling and production equipment according to the relation between various operation data of the drilling and production equipment and the data.
Description
Technical Field
The invention relates to the technical field of fault detection of drilling equipment, in particular to a fault detection system based on a measuring instrument of the drilling equipment.
Background
Drilling and production equipment is an important device widely used in coal mines, oil fields and other underground mining sites. Their proper operation is critical to production efficiency and operational safety. However, due to the severe working environment and long-time high-strength work, the drilling and production equipment is easy to suffer various faults and damages, and serious influence is brought to production operation. In order to ensure the reliability and the working efficiency of drilling equipment, the development of fault detection systems is an urgent task. The normal operation of drilling equipment is crucial for improving production efficiency, the fault detection system can monitor the equipment state in real time, discover potential problems as soon as possible, avoid production interruption caused by equipment faults, and accordingly guarantee production progress and yield. The traditional fault detection method mainly relies on manual detection and experience judgment, and has the problems of low efficiency, poor accuracy, long time consumption and the like. Therefore, it is an urgent need to construct a fault detection system for drilling equipment based on an automated data analysis means. However, the drilling and production equipment generates a large amount of data in the working process, and the large-scale data needs to be effectively processed and analyzed to extract useful information, but the prior art only carries out fault identification and analysis on the drilling and production equipment based on a small amount of data or images, and does not extract correlation among different data when the fault of the drilling and production equipment is identified.
For example, patent publication number CN113642534B discloses a mining equipment fault detection method and system based on artificial intelligence, the method comprises: constructing a Gaussian pyramid based on the acquired mining equipment image; acquiring roughness description characteristics of each image in the Gaussian pyramid: for each pixel in an image, acquiring roughness complexity and roughness change descriptors of a window area taking the pixel as a center based on the roughness of the pixel, and further acquiring roughness descriptors of the window area; integrating roughness descriptors of all window areas to obtain roughness description characteristics of the image; the roughness of the pixel is represented by using a gray value, a saturation value, a brightness value and a heat value of the pixel position; and fusing roughness description features of the images in the Gaussian pyramid, and judging the abrasion degree of the mining equipment based on the fused roughness description features. The invention can accurately evaluate the abrasion degree of the mining drill bit. However, the invention only identifies the wear degree of the mining equipment based on the image of the mining equipment, and lacks fault identification of various operation data of the mining equipment.
A monitoring system based on digital twinning technology applied to coal mine mining equipment is disclosed in patent application publication number CN113610290a, the system comprising: a coal mining equipment information module: the information model is used for constructing and storing coal mine mining equipment; sensor group: the method is responsible for collecting relevant data of the physical body motion of the coal mine excavating equipment in real time; and the information compiling and executing module is used for: acquiring and eliminating noise signals in related data of the physical body motion of the coal mine excavating equipment; modeling calculation module: obtaining the current working state of coal mining equipment and the failure expectation of the coal mining equipment; and the man-machine interaction judging module is used for: and monitoring the coal mining equipment, and realizing the fusion and intelligent monitoring of the physical information and the virtual information of the coal mining equipment. The system visually and intuitively reflects the problems of the comprehensive mining working face environment, the working condition state and the equipment running state of the mine, fault positioning and health prediction of the equipment and the like. However, the system does not incorporate correlation between various data to detect if a device is malfunctioning while monitoring the coal mining equipment.
The information disclosed in this background section is only for enhancement of understanding of the general background of the invention and should not be taken as an acknowledgement or any form of suggestion that this information forms the prior art already known to a person of ordinary skill in the art.
Disclosure of Invention
Aiming at the defects of the prior art, the main purpose of the invention is to provide a fault detection system based on a drilling equipment measuring instrument, which can effectively solve the problems in the background art: the existing fault detection method for the drilling and production equipment often does not consider the relation between different operation data of the drilling and production equipment, but only monitors and analyzes whether the different operation data of the drilling and production equipment are abnormal or not independently. The specific technical scheme of the invention is as follows:
a fault detection system based on drilling equipment measuring instruments, the system comprises an equipment layer, a database layer and a control layer; the equipment layer comprises input equipment, output equipment and drilling equipment, wherein the input equipment comprises a drill bit rotating speed measuring instrument, a drill bit feeding speed measuring instrument, a drill bit vibration measuring instrument, a drill bit pressure measuring instrument and a drilling equipment temperature measuring instrument, the drill bit rotating speed measuring instrument is used for measuring the rotating frequency of a drill bit, the drill bit feeding speed measuring instrument is used for measuring the speed of the drill bit moving along the axial direction in the drilling process, the drill bit vibration measuring instrument is used for measuring the vibration amplitude generated by the drill bit in the working process, the drill bit pressure measuring instrument is used for measuring the pressure exerted by the drill bit in the drilling process, the drilling equipment temperature measuring instrument is used for measuring the temperature of the drilling equipment in the working process, the output equipment comprises a display device and an equipment fault early warning device, the display device is used for displaying whether the running state of the drilling equipment is abnormal, the equipment fault early warning device is used for early warning the drilling equipment with abnormal running state, and the drilling equipment is connected with the input equipment and the output equipment.
The database layer is used for storing data acquired in the working process of the system;
the control layer comprises a CPU, an attribute map construction module, an attribute map detection module, a fault early warning module and a communication module.
A further improvement of the present invention is that the CPU is configured to manage and control operation of the system; the attribute map construction module is used for constructing an attribute map based on various data acquired by the input equipment when the drilling equipment operates; the attribute map detection module is used for measuring the similarity of attribute maps constructed by data of different operation periods of the drilling equipment; the fault early warning module is used for carrying out fault early warning on the drilling equipment according to the detection result of the attribute map detection module; the communication module is used for constructing a communication network in the system to realize the mutual transmission of data in the system.
The invention further improves that the drill bit rotating speed measuring instrument, the drill bit feeding speed measuring instrument, the drill bit vibration measuring instrument, the drill bit pressure measuring instrument and the drill production equipment temperature measuring instrument are arranged on the drill production equipment and are used for measuring the rotating frequency, the axial moving speed, the vibration amplitude, the applied pressure and the equipment temperature of the drill production equipment when in operation.
The invention further improves that the input device collects bit rotation frequency data, bit moving speed data, bit vibration amplitude data, bit pressure data and device temperature data when the drilling and production device is operated, and the bit rotation frequency data, bit moving speed data, bit vibration amplitude data, bit pressure data and device temperature data are all time series data.
The invention is thatThe further improvement of the method is that the attribute map construction module constructs an attribute map based on various data in one operation period of the drilling and production equipment acquired by the input equipment, and the total number of time steps contained in the operation data in one operation period of the drilling and production equipment is set asThe input device collects in total +.>The attribute map construction module constructs an attribute map according to the following steps>：
S1: constructing a set of attribute map nodesWherein->Total number of data categories collected for the input device, first->Personal node->For indicating +.>Seed data;
s2: constructing node attribute matrix，/>Wherein->The representation dimension is +.>Real number of (2)Space (S)>Setting a node attribute matrix for the total number of time steps contained in operation data in one operation period of the drilling and production equipment>Is>Behavior vector->，/>Wherein->The representation dimension is +.>Is the real space of (1), vector->Representing the +.>Personal node->Is a vector of attributes of (a);
s3: building attribute graph edge setsWherein->Strip edge->Is undirected edge, wherein->For the total number of edges set up/>Personal node->And->Personal node->The edges between are set->The%>Strip edge->Then->The value above is determined by the following rule: let go of>Personal node->Attribute vector of +.>First->Personal node->Attribute vector of +.>Then->By calculating->And->The cosine similarity of (2) is obtained by the following calculation formula:
；
wherein the method comprises the steps ofDot product operation representing vector,/>Representing a vector norm;
s4: constructing an attribute map adjacency matrix，/>Attribute graph adjacency matrix->Is>Line->The elements of the columns being，/>The value of (2) is said->Personal node->And->Personal node->The value of the edge between them is set to +.>Personal node->And->Personal node->The edges between are attribute graph edge sets +.>Middle->Strip edge->Then->A value equal to->Is a value of (2).
The invention further improves that the attribute map detection module measures the similarity between the attribute map constructed based on the data of the current operation period of the drilling and production equipment and the attribute map constructed based on the data of the last operation period of the drilling and production equipment, and is arranged at the first positionThe attribute diagram constructed in the individual production stages is +.>The corresponding attribute graph node set is +.>Attribute gallery is +.>The attribute map adjacency matrix is->Wherein->Indicate->The production stage is set atThe attribute diagram constructed in the individual production stages is +.>The corresponding attribute graph node set is +.>Attribute gallery is +.>The attribute map adjacency matrix is->Wherein->Indicate->The production stage.
The invention further improves that the attribute map detection module comprises an edge matching unit, an adjacent matrix matching unit and an attribute matrix matching unit, wherein the edge matching unit is used for comparing the edge matching unit with the first edge matching unitAttribute diagram constructed in production phase->And at->Attribute diagram constructed in production phase->Is->And->The edge matching unit solves +.o using Prim algorithm>And->The minimum spanning tree of (2) is determined>And->The minimum spanning tree of (1) contains edge sets of +.>And->Computing edge set +.>The sum of the values of all sides of (a) is denoted +.>Computing edge set +.>The sum of the values of all sides of (a) is denoted +.>The edge matching unit calculates at +.>Attribute diagram constructed in production phase->And at->Attribute diagram constructed in production phase->Is the edge set similarity ofThe larger the similarity of the edge set is, the +.>And->The more similar.
A further improvement of the present invention is that the adjacency matrix matching unit compares in the firstAttribute diagram constructed in production phase->And at->Attribute diagram constructed in production phase->Adjacency matrix measure +.>And->Is matched with the adjacent matrix of the adjacent matrixThe matching unit measures +.>And->Is provided with +.>And->The adjacent matrix is +.>And->Then the adjacency matrix similarity is calculated:
；
wherein the method comprises the steps ofRepresenting the 2-normal form of the matrix, the greater the similarity of the adjacency matrix, the +.>And->The more similar.
A further improvement of the present invention is that the attribute matrix matching unit compares the attribute matrix with the attribute matrix of the first nodeAttribute diagram constructed in production phase->And at->Individual productionAttribute diagram of stage construction->Attribute matrix measurement +.>And->The attribute matrix similarity of (2) is set at +.>Attribute diagram constructed in production phase->The attribute matrix of (2) is->In->Attribute diagram constructed in production phase->The attribute matrix of (2) is->，/>Is>Behavior attribute map->Is>Personal node->Attribute vector +.>，/>Is>Behavior attribute map->Is>Personal node->Attribute vector +.>Then->And->The attribute matrix similarity of (a) is calculated as follows:
；
wherein the method comprises the steps ofTotal number of data categories collected for said input device, < >>Representing a cosine similarity function,wherein->Dot product operation representing vector,/>Representing vectorsThe greater the norm, the greater the similarity of the attribute matrix +.>And->The more similar.
The invention is further improved in that the fault early-warning module carries out fault early-warning on the drilling equipment according to the three groups of similarity calculated by the attribute map detection module, and the fault early-warning module sets three groups of thresholds:、/>and->If one of the following three conditions is met: />，/>，/>And judging that the drilling equipment fails, and carrying out early warning through the equipment failure early warning device.
A fault detection method based on drilling equipment measuring instrument comprises the following specific steps:
a1: collecting data in one operation period of the drilling and production equipment through a sensor;
a2: constructing an attribute graph according to the data in the A1;
a3: calculating the similarity between the attribute graph constructed by the data in the current operation period and the attribute graph constructed by the data in the last operation period according to the attribute graph in the A2;
a4: detecting faults of drilling equipment according to the similarity in the A3;
a5: and (3) carrying out fault early warning on drilling equipment according to the fault detected in the step A4.
A computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the method for fault detection based on a drilling and production equipment measuring instrument.
An apparatus, comprising:
a memory for storing instructions;
and the processor is used for executing the instructions to enable the equipment to execute the operation of realizing the fault detection method based on the drilling equipment measuring instrument.
Compared with the prior art, the invention has the following beneficial effects:
when the running state of the drilling and production equipment is monitored, the invention constructs the attribute graph based on the running data of the drilling and production equipment, wherein the attribute graph contains the correlation among different running data of the drilling and production equipment, and the integral characteristics of the different running data of the drilling and production equipment are reflected;
when the running state of the drilling and production equipment is monitored, the similarity of the attribute diagrams of the drilling and production equipment with different running periods is measured from the adjacent matrix, the edge set and the attribute matrix of the attribute diagrams, so that the similarity of the different attribute diagrams can be measured more comprehensively, and a better effect is achieved;
and C3, the invention uses the fault early warning module to early warn the faulty drilling and production equipment based on the similarity of different attribute maps, thereby effectively improving the reliability and the working efficiency of the drilling and production equipment.
Drawings
Fig. 1 is a schematic diagram of a fault detection system based on a drilling and production equipment measuring instrument according to the present invention.
Fig. 2 is a schematic diagram of an attribute diagram construction module of a fault detection system based on a drilling and production equipment measuring instrument according to the present invention.
Fig. 3 is an exemplary diagram of an attribute map detection module and a fault early warning module of a fault detection system based on a drilling and production equipment measuring instrument according to the present invention.
Detailed Description
The following detailed description of the present invention is made with reference to the accompanying drawings and specific embodiments, and it is to be understood that the specific features of the embodiments and the embodiments of the present invention are detailed description of the technical solutions of the present invention, and not limited to the technical solutions of the present invention, and that the embodiments and the technical features of the embodiments of the present invention may be combined with each other without conflict.
The term "and/or" is merely an association relationship describing an associated object, meaning that there may be three relationships, e.g., a and/or B, may represent: a exists alone, A and B exist together, and B exists alone. The character "/", generally indicates that the front and rear associated objects are an or relationship.
Example 1
The embodiment provides a fault detection system based on a drilling and production equipment measuring instrument, which is used for solving the problems that the existing fault detection method of the drilling and production equipment is incomplete in detecting the operation data of the drilling and production equipment, and whether different operation data are abnormal or not is only independently monitored without considering the relation between the different operation data. 1-3, the fault detection system based on the drilling equipment measuring instrument comprises an equipment layer, a database layer and a control layer. In an equipment level aspect, the system includes an input device, an output device, and a drilling device. The input device comprises a drill bit rotating speed measuring instrument, a drill bit feeding speed measuring instrument, a drill bit vibration measuring instrument, a drill bit pressure measuring instrument and a drilling and production device temperature measuring instrument. The drill bit rotating speed measuring instrument is used for measuring the drill bit rotating frequency; the drill bit feeding speed measuring instrument is used for measuring the speed of the drill bit moving along the axial direction in the drilling process; the drill bit vibration measuring instrument is used for measuring the vibration amplitude generated by the drill bit during working; the drill bit pressure measuring instrument is used for measuring the pressure applied by the drill bit in the drilling process; the drilling and production equipment temperature measuring instrument is used for measuring the temperature of the drilling and production equipment in working. The output equipment comprises a display device and an equipment fault early warning device; the display device is used for displaying whether the running state of the drilling equipment is abnormal or not; the equipment fault early warning device is used for early warning drilling equipment with abnormal running state, and the drilling equipment is connected with the input equipment and the output equipment. The database layer is used for storing data acquired in the working process of the system. The control layer comprises a CPU, an attribute map construction module, an attribute map detection module, a fault early warning module and a communication module.
In this embodiment, the CPU is configured to manage and control operation of the system, and the CPU is of Intel Xeon E5-2697 v4 type; the attribute map construction module is used for constructing an attribute map based on various data acquired by the input equipment when the drilling equipment operates; the attribute map detection module is used for measuring the similarity of attribute maps constructed by data of different operation periods of the drilling equipment; the fault early warning module is used for carrying out fault early warning on the drilling equipment according to the detection result of the attribute map detection module; the communication module is used for constructing a communication network in the system to realize the mutual transmission of data in the system.
In this embodiment, the drill bit rotational speed measuring instrument, the drill bit feed speed measuring instrument, the drill bit vibration measuring instrument, the drill bit pressure measuring instrument and the drill production equipment temperature measuring instrument are mounted on the drill production equipment and are used for measuring the rotational frequency, the axial movement speed, the vibration amplitude, the applied pressure and the equipment temperature of the drill production equipment during operation.
In this embodiment, the drill bit rotational speed measuring instrument adopts a Bosch DLR130K digital laser range finder, the drill bit feed speed measuring instrument adopts a SKF TKRT 20 electronic measuring instrument, the drill bit vibration measuring instrument adopts a SKF CMAS 100-SL vibration measuring instrument, the drill bit pressure measuring instrument adopts an Ashcroft DG25 digital pressure measuring instrument, and the drilling equipment temperature measuring instrument adopts a Fluke 62 Max Plus infrared thermometer.
In this embodiment, the input device collects bit rotation frequency data, bit movement speed data, bit vibration amplitude data, bit pressure data, and device temperature data when the drilling and production device is in operation, where the bit rotation frequency data, bit movement speed data, bit vibration amplitude data, bit pressure data, and device temperature data are all time-series data.
In the present embodiment, whatThe attribute map construction module constructs an attribute map based on various data in one operation period of the drilling and production equipment acquired by the input equipment, and sets the total number of time steps contained in the operation data in one operation period of the drilling and production equipment asIn this embodiment, < > a->The value is 300, the input device collects +.>Seed data, in this embodiment, +.>The attribute map construction module constructs an attribute map +.>：
S1: constructing a set of attribute map nodesWherein->Total number of data categories collected for the input device, first->Personal node->For indicating +.>Seed data;
s2: constructing node attribute matrix，/>Wherein->The representation dimension is +.>Real space of>Setting a node attribute matrix for the total number of time steps contained in operation data in one operation period of the drilling and production equipment>Is>Behavior vector->，/>Wherein->The representation dimension is +.>Is the real space of (1), vector->Representing the +.>Personal node->Is a vector of attributes of (a);
s3: building attribute graph edge setsWherein->Strip edge->Is undirected edge, wherein->For the total number of edges set up +>Personal node->And->Personal node->The edges between are set->The%>Strip edge->Then->The value above is determined by the following rule: let go of>Personal node->Attribute vector of +.>First->Personal node->Attribute vector of +.>Then->By calculating->And->The cosine similarity of (2) is obtained by the following calculation formula:
；
wherein the method comprises the steps ofDot product operation representing vector,/>Representing a vector norm;
s4: constructing an attribute map adjacency matrix，/>Attribute graph adjacency matrix->Is>Line->The elements of the columns being，/>The value of (2) isThe->Personal node->And->Personal node->The value of the edge between them is set to +.>Personal node->And->Personal node->The edges between are attribute graph edge sets +.>Middle->Strip edge->Then->A value equal to->Is a value of (2).
In this embodiment, the attribute map detection module measures similarity between an attribute map constructed based on data of a current operation period of the drilling and production equipment and an attribute map constructed based on data of a previous operation period of the drilling and production equipment, and is set at the first positionThe attribute diagram constructed in the individual production stages is +.>The corresponding attribute graph node set is +.>Attribute gallery is +.>The attribute map adjacency matrix is->Wherein->Indicate->The production stage is set at->The attribute diagram constructed in the individual production stages is +.>The corresponding attribute graph node set is +.>Attribute gallery is +.>The attribute map adjacency matrix is->Wherein->Indicate->The production stage.
In the present embodiment, the attributeThe graph detection module comprises an edge matching unit, an adjacent matrix matching unit and an attribute matrix matching unit, wherein the edge matching unit is used for comparing the first edge with the second edgeAttribute diagram constructed in production phase->And at->Attribute diagram constructed in production phase->Is->And->The edge matching unit solves +.o using Prim algorithm>And->The minimum spanning tree of (2) is determined>And->The minimum spanning tree of (1) contains edge sets of +.>And->Computing edge set +.>The sum of the values of all sides of (a) is denoted +.>Computing edge setsThe sum of the values of all sides of (a) is denoted +.>The edge matching unit calculates at +.>Attribute diagram constructed in production phase->And at->Attribute diagram constructed in production phase->Is the edge set similarity ofThe larger the similarity of the edge set is, the +.>And->The more similar.
In this embodiment, the adjacency matrix matching unit compares the adjacent matrix matching units in the firstAttribute diagram constructed in production phase->And at->Attribute diagram constructed in production phase->Adjacency matrix measure +.>And->The adjacency matrix matching unit measures +.>And->Is provided with +.>And->The adjacent matrix is +.>And->Then the adjacency matrix similarity is calculated:
；
wherein the method comprises the steps ofRepresenting the 2-normal form of the matrix, the greater the similarity of the adjacency matrix, the +.>And->The more similar.
In this embodiment, the attribute matrix matching unit compares the first and second attribute matricesAttribute diagram constructed in production phase->And at->Attribute diagram constructed in production phase->Attribute matrix measurement +.>And->The attribute matrix similarity of (2) is set at +.>Attribute diagram constructed in production phase->The attribute matrix of (2) is->In->Attribute graphs constructed in individual production stagesThe attribute matrix of (2) is->，/>Is>Behavior attribute map->Is>Personal node->Attribute vector +.>，/>Is>Behavior attribute map->Is>Personal node->Attribute vector +.>Then->And->The attribute matrix similarity of (a) is calculated as follows:
；
wherein the method comprises the steps ofTotal number of data categories collected for said input device, < >>Representing a cosine similarity function,wherein->Dot product operation representing vector,/>Representing the vector norm, which in this embodiment uses the L2 norm of the vector, the L2 norm being defined as the square root of the sum of squares of all elements in the vector, the greater the attribute matrix similarity, the +.>And->The more similar.
In this embodiment, the fault early-warning module performs fault early-warning on the drilling equipment according to the three groups of similarities calculated by the attribute map detection module, and the fault early-warning module sets three groups of thresholds:、/>and->The threshold value、/>And->It is determined by one of ordinary skill in the art from a number of experiments that if one of the following three conditions is met: />，，/>And judging that the drilling equipment fails, and carrying out early warning through the equipment failure early warning device.
Example 2
The embodiment provides a fault detection method based on a drilling and production equipment measuring instrument, which is realized based on the fault detection system based on the drilling and production equipment measuring instrument, and comprises the following specific steps:
a1: collecting data in one operation period of the drilling and production equipment through a sensor;
a2: constructing an attribute graph according to the data in the A1;
a3: calculating the similarity between the attribute graph constructed by the data in the current operation period and the attribute graph constructed by the data in the last operation period according to the attribute graph in the A2;
a4: detecting faults of drilling equipment according to the similarity in the A3;
a5: and (3) carrying out fault early warning on drilling equipment according to the fault detected in the step A4.
Example 3
The present embodiment provides a computer readable storage medium, which uses a dedicated storage server, a hard disk array or a cloud service to store a computer program and data required by a fault detection system based on a drilling and production equipment measuring instrument, and when the computer program is executed by a processor, the fault detection method based on the drilling and production equipment measuring instrument is implemented.
Example 4
The present embodiment provides an apparatus comprising:
c1, a hard disk memory for storing an instruction set, a module, a model and an algorithm of the fault detection method based on the drilling equipment measuring instrument;
and c2, a high-performance image processor is used for executing the instruction, so that the equipment executes the operation of realizing the fault detection method based on the drilling equipment measuring instrument, has parallel computing capability, and is suitable for rapidly processing data.
It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, systems, and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The embodiments of the present invention have been described above with reference to the accompanying drawings, but the present invention is not limited to the above-described embodiments, which are merely illustrative and not restrictive, and many forms may be made by those having ordinary skill in the art without departing from the spirit of the present invention and the scope of the claims, which are all within the protection of the present invention.
Claims (8)
1. The fault detection system based on the drilling equipment measuring instrument is characterized by comprising an equipment layer, a database layer and a control layer;
the equipment layer comprises input equipment, output equipment and drilling equipment, wherein the input equipment comprises a drill bit rotating speed measuring instrument, a drill bit feeding speed measuring instrument, a drill bit vibration measuring instrument, a drill bit pressure measuring instrument and a drilling equipment temperature measuring instrument, the drill bit rotating speed measuring instrument is used for measuring the rotating frequency of a drill bit, the drill bit feeding speed measuring instrument is used for measuring the speed of the drill bit moving along the axial direction in the drilling process, the drill bit vibration measuring instrument is used for measuring the vibration amplitude generated by the drill bit in the working process, the drill bit pressure measuring instrument is used for measuring the pressure exerted by the drill bit in the drilling process, the drilling equipment temperature measuring instrument is used for measuring the temperature of the drilling equipment in the working process, the output equipment comprises a display device and an equipment fault early warning device, the display device is used for displaying whether the running state of the drilling equipment is abnormal, the equipment fault early warning device is used for early warning the drilling equipment with abnormal running state, and the drilling equipment is connected with the input equipment and the output equipment.
The database layer is used for storing data acquired in the working process of the system;
the control layer comprises a CPU, an attribute map construction module, an attribute map detection module, a fault early warning module and a communication module;
the CPU is used for managing and controlling the operation of the system; the attribute map construction module is used for constructing an attribute map based on various data acquired by the input equipment when the drilling equipment operates; the attribute map detection module is used for measuring the similarity of attribute maps constructed by data of different operation periods of the drilling equipment; the fault early warning module is used for carrying out fault early warning on the drilling equipment according to the detection result of the attribute map detection module; the communication module is used for constructing a communication network in the system;
the drill bit rotating speed measuring instrument, the drill bit feeding speed measuring instrument, the drill bit vibration measuring instrument, the drill bit pressure measuring instrument and the drill production equipment temperature measuring instrument are arranged on the drill production equipment and are used for measuring the rotating frequency, the speed of axial movement, the vibration amplitude, the applied pressure and the equipment temperature of the drill production equipment when in operation;
the input equipment collects drill bit rotation frequency data, drill bit moving speed data, drill bit vibration amplitude data, drill bit pressure data and equipment temperature data when the drilling and production equipment operates, wherein the drill bit rotation frequency data, the drill bit moving speed data, the drill bit vibration amplitude data, the drill bit pressure data and the equipment temperature data are all time sequence data;
the attribute map construction module constructs an attribute map based on various data in one operation period of the drilling and production equipment acquired by the input equipment, and sets the total number of time steps contained in the operation data in one operation period of the drilling and production equipment asThe input device collects in total +.>The attribute map construction module constructs an attribute map according to the following steps：
S1: constructing a set of attribute map nodesWherein->Total number of data categories collected for the input device, first->Personal node->For indicating +.>Seed data;
s2: constructing node attribute matrix，/>Wherein->The representation dimension is +.>Real space of>Setting a node attribute matrix for the total number of time steps contained in operation data in one operation period of the drilling and production equipment>Is>Behavior vector，/>Wherein->The representation dimension is +.>Is the real space of (1), vector->Representing the +.>Personal nodeIs a vector of attributes of (a);
s3: building attribute graph edge setsWherein->Strip edge->Is undirected edge, wherein->For the total number of edges set up +>Personal node->And->Personal node->Between (a) and (b)The edges are set +.>The%>Strip edge->Then->The value above is determined by the following rule: let go of>Personal node->Attribute vector of +.>First->Personal node->Attribute vector of +.>Then->By calculating->Andthe cosine similarity of (2) is obtained by the following calculation formula:
；
wherein the method comprises the steps ofDot product operation representing vector,/>Representing a vector norm;
s4: constructing an attribute map adjacency matrix，/>Attribute graph adjacency matrix->Is>Line->The column elements are->，The value of (2) is said->Personal node->And->Personal node->The value of the edge between them is set to +.>Personal node->And->Personal node->The edges between are attribute graph edge sets +.>Middle->Strip edge->Then->A value equal to->Is a value of (2);
the attribute map detection module measures the similarity between an attribute map constructed based on the data of the current operation period of the drilling and production equipment and an attribute map constructed based on the data of one operation period of the drilling and production equipment, and is arranged at the first positionThe attribute diagram constructed in the individual production stages is +.>The corresponding attribute graph node set is +.>Attribute gallery is +.>The attribute map adjacency matrix is->Wherein->Indicate->The production stage is set at->The attribute diagram constructed in the individual production stages is +.>The corresponding attribute graph node set is +.>The attribute graph edge set isThe attribute map adjacency matrix is->Wherein->Indicate->The production stage.
2. The fault detection system based on drilling and production equipment measuring instrument according to claim 1, wherein the attribute map detection module comprises an edge matching unit and an adjacency matrix matching unitA matching unit and an attribute matrix matching unit, wherein the edge matching unit is used for comparing the first edge with the second edgeAttribute diagram constructed in production phase->And at->Attribute graphs constructed in individual production stagesIs->And->The edge matching unit solves +.o using Prim algorithm>And->The minimum spanning tree of (2) is determined>And->The minimum spanning tree of (1) contains edge sets of +.>And->Computing edge set +.>The sum of the values of all sides of (a) is denoted +.>Computing edge set +.>The sum of the values of all sides of (a) is denoted +.>The edge matching unit calculates at +.>Attribute diagram constructed in production phase->And at->Attribute diagram constructed in production phase->Is +.>The larger the similarity of the edge set is, the +.>And->The more similar.
3. The fault detection system based on drilling and production equipment measuring instrument according to claim 2, wherein the adjacency matrix matching unit compares the adjacent matrix matching unit with the adjacent matrix matching unit in the first placeAttribute diagram constructed in production phase->And at->Attribute diagram constructed in production phase->Adjacency matrix measure +.>And->The adjacency matrix matching unit measures +.>And->Is provided with +.>And->The adjacent matrix is +.>And->Then the adjacency matrix similarity is calculated:
；
wherein the method comprises the steps ofRepresenting the 2-normal form of the matrix, the greater the similarity of the adjacency matrix, the +.>And->The more similar.
4. A fault detection system based on drilling and production equipment measuring instruments according to claim 3, wherein said attribute matrix matching unit compares the data in the first placeAttribute diagram constructed in production phase->And at->Attribute diagram constructed in production phase->Attribute matrix measurement +.>And->The attribute matrix similarity of (2) is set at +.>Attribute diagram constructed in production phase->The attribute matrix of (2) is->In->Attribute diagram constructed in production phase->The attribute matrix of (2) is->，/>Is>Behavior attribute map->Is>Personal node->Attribute vector +.>，/>Is>Behavior attribute map->Is>Personal node->Attribute vector +.>Then->And->The attribute matrix similarity of (a) is calculated as follows:
；
wherein the method comprises the steps ofTotal number of data categories collected for said input device, < >>Representing a cosine similarity function,wherein->Dot product operation representing vector,/>Representing vector norms, the greater the similarity of the attribute matrix, the +.>And->The more similar.
5. According to claim 4The fault detection system based on the drilling equipment measuring instrument is characterized in that the fault early warning module carries out fault early warning on the drilling equipment according to three groups of similarity calculated by the attribute map detection module, and the fault early warning module sets three groups of thresholds:、/>and->If one of the following three conditions is met:，/>，/>and judging that the drilling equipment fails, and carrying out early warning through the equipment failure early warning device.
6. A fault detection method based on a drilling and production equipment measuring instrument, which is realized based on a fault detection system based on a drilling and production equipment measuring instrument according to any one of claims 1-5, characterized in that the method comprises the following specific steps:
a1: collecting data in one operation period of the drilling and production equipment through a sensor;
a2: constructing an attribute graph according to the data in the A1;
a3: calculating the similarity between the attribute graph constructed by the data in the current operation period and the attribute graph constructed by the data in the last operation period according to the attribute graph in the A2;
a4: detecting faults of drilling equipment according to the similarity in the A3;
a5: and (3) carrying out fault early warning on drilling equipment according to the fault detected in the step A4.
7. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements a fault detection method based on a drilling and production equipment measuring instrument as claimed in claim 6.
8. An apparatus, comprising: a memory for storing instructions; a processor for executing the instructions to cause the apparatus to perform operations implementing a fault detection method based on a drilling apparatus measurement instrument as set forth in claim 6.
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