CN113932849A - Fault detection method of mining equipment and terminal equipment - Google Patents
Fault detection method of mining equipment and terminal equipment Download PDFInfo
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- CN113932849A CN113932849A CN202111160337.5A CN202111160337A CN113932849A CN 113932849 A CN113932849 A CN 113932849A CN 202111160337 A CN202111160337 A CN 202111160337A CN 113932849 A CN113932849 A CN 113932849A
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- G01—MEASURING; TESTING
- 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
- G01D21/00—Measuring or testing not otherwise provided for
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Abstract
The application is suitable for the technical field of mines, and provides a fault detection method of mining equipment and terminal equipment, and the fault detection method comprises the following steps: acquiring operation data of mining equipment, wherein the operation data is operation data of key parameters of the mining equipment; generating an operation curve according to operation data of the mining equipment; if the operation curve is matched with the preset fault curve, the mine equipment is determined to be in fault, the corresponding operation curve is determined by utilizing curve fitting through acquiring real-time operation data of key parameters of the mine equipment in real time, and then the operation curve is matched with the preset fault waveform, so that whether the mine equipment has faults or not can be detected quickly and correctly, and the problems of long time consumption and low efficiency in maintenance of the existing mine equipment are solved.
Description
Technical Field
The application belongs to the technical field of mines, and particularly relates to a fault detection method of mining equipment and terminal equipment.
Background
Mining equipment is mechanical equipment used by mining enterprises in mining and beneficiation processes, including, but not limited to, mining equipment and beneficiation equipment. Because the mining equipment has a complex structure and many parts, when detecting whether the mining equipment has a fault, related personnel need to perform detailed investigation according to experience, however, a large amount of time is needed, and the overhauling efficiency is low.
Disclosure of Invention
The embodiment of the application provides a fault detection method of mining equipment and terminal equipment, and can solve the problems of long time consumption and low efficiency in the conventional overhauling of the mining equipment.
In a first aspect, an embodiment of the present application provides a method for detecting a fault of mining equipment, including:
acquiring operation data of mining equipment, wherein the operation data are operation data of key parameters of the mining equipment;
generating an operation curve according to the operation data of the mining equipment;
and if the operation curve is matched with a preset fault curve, determining that the mining equipment is in fault.
In a possible implementation manner of the first aspect, before the acquiring the operation data of the mining equipment, the method further includes:
and determining key parameters of the mining equipment according to historical data.
In one possible implementation form of the first aspect, the historical data includes historical fault data and historical normal data; the determining key parameters of the mining equipment according to historical data comprises:
comparing the historical normal data with the historical fault data to obtain difference data;
and determining parameters corresponding to the difference data, and determining the parameters as key parameters.
In a possible implementation manner of the first aspect, before the acquiring the operation data of the mining equipment, the method further includes:
acquiring equipment codes of mining equipment;
determining the equipment type of the mining equipment according to the equipment code;
and sending an instruction for acquiring the operation data of the key parameters corresponding to the equipment type of the mining equipment to the mining equipment.
In a possible implementation manner of the first aspect, before determining that the mining equipment fails if the operation curve matches a preset failure curve, the method includes:
determining a preset fault curve according to the equipment type of the mining equipment;
and matching the operation curve with a preset fault curve corresponding to the equipment type.
In a possible implementation manner of the first aspect, the method further includes, after determining that the mining equipment has a fault if the operation curve matches a preset fault curve;
and generating a maintenance strategy according to the fault detection result.
In a possible implementation manner of the first aspect, after generating the overhaul policy according to the fault detection result, the method further includes:
and sending the overhaul strategy to a client.
In a second aspect, an embodiment of the present application provides a fault detection apparatus, including:
the mining equipment monitoring system comprises an acquisition unit, a monitoring unit and a monitoring unit, wherein the acquisition unit is used for acquiring operation data of mining equipment, and the operation data is operation data of key parameters of the mining equipment;
the fitting unit is used for generating an operation curve according to the operation data of the mining equipment;
and the determining unit is used for determining that the mining equipment breaks down if the operation curve is matched with a preset fault curve.
In a third aspect, an embodiment of the present application provides a terminal device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and when the processor executes the computer program, the processor implements the steps of the method for detecting a fault of a mining device according to any one of the first aspect.
In a fourth aspect, the present application provides a computer-readable storage medium storing a computer program which, when executed by a processor, implements the steps of the method of fault detection for mining equipment as described in any one of the first aspects above.
In a fifth aspect, the present application provides a computer program product, when the computer program product runs on a server, the server may execute the fault detection method for mining equipment according to any one of the first aspect.
Compared with the prior art, the embodiment of the application has the advantages that:
according to the fault detection method and the terminal equipment of the mining equipment, provided by the embodiment of the application, the real-time operation data of the key parameters of the mining equipment are obtained in real time, then the corresponding operation curve is determined by curve fitting, and then the operation curve is matched with the preset fault waveform, so that whether the mining equipment has a fault can be detected quickly and correctly, and the problems that the existing mining equipment is long in maintenance time and low in efficiency are solved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.
Fig. 1 is a schematic structural diagram of a fault detection system of mining equipment according to an embodiment of the present application;
fig. 2 is a schematic flow chart of an implementation of a fault detection method for mining equipment according to an embodiment of the present application;
FIG. 3 is a schematic view of the vacuum degree of a ceramic filter according to an embodiment of the present invention;
fig. 4 is a schematic flow chart of an implementation of another fault detection method for mining equipment according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of a fault detection apparatus according to an embodiment of the present application;
fig. 6 is a schematic structural diagram of a terminal device according to an embodiment of the present application.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system structures, techniques, etc. in order to provide a thorough understanding of the embodiments of the present application. It will be apparent, however, to one skilled in the art that the present application may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present application with unnecessary detail.
It will be understood that the terms "comprises" and/or "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
It should also be understood that the term "and/or" as used in this specification and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.
As used in this specification and the appended claims, the term "if" may be interpreted contextually as "when", "upon" or "in response to" determining "or" in response to detecting ". Similarly, the phrase "if it is determined" or "if a [ described condition or event ] is detected" may be interpreted contextually to mean "upon determining" or "in response to determining" or "upon detecting [ described condition or event ]" or "in response to detecting [ described condition or event ]".
Furthermore, in the description of the present application and the appended claims, the terms "first," "second," "third," and the like are used for distinguishing between descriptions and not necessarily for describing or implying relative importance.
Reference throughout this specification to "one embodiment" or "some embodiments," or the like, means that a particular feature, structure, or characteristic described in connection with the embodiment is included in one or more embodiments of the present application. Thus, appearances of the phrases "in one embodiment," "in some embodiments," "in other embodiments," or the like, in various places throughout this specification are not necessarily all referring to the same embodiment, but rather "one or more but not all embodiments" unless specifically stated otherwise. The terms "comprising," "including," "having," and variations thereof mean "including, but not limited to," unless expressly specified otherwise.
Mining equipment refers to mechanical equipment used by mining enterprises in mining and mineral processing processes, including but not limited to mining equipment and mineral processing equipment, and mining equipment refers to equipment used in mining engineering, such as mine hoists, rock drills, raise boring machines and the like. The mineral processing equipment comprises various equipment such as crushing equipment, ore grinding equipment, washing equipment, gravity separation equipment and the like, such as a ceramic filter and the like.
The embodiment of the application provides a fault detection system of mining equipment, and the fault detection system of the mining equipment comprises a fault detection center 10 and a data acquisition device 20.
In the embodiment of the present application, the fault detection center 10 is communicatively connected to the data acquisition device 20. The communication connection can be realized by adopting a wired communication connection mode or a wireless connection mode.
In practical applications, the wired communication connection mode may be a communication mode that realizes connection through a communication bus, an I/O data line, and the wireless connection mode may realize communication through bluetooth, wifi, zigbee, and the like, which is not limited in this application.
In this embodiment, the data acquisition device 20 may be disposed on mining equipment, and is configured to acquire operation data of a key parameter of the mining equipment, and send the operation data of the key parameter to the fault detection center 10 for fault analysis after acquiring the operation data of the key parameter, so as to determine whether the mining equipment is faulty.
In the embodiment of the present application, the fault detection system for mining equipment may include a plurality of data acquisition devices 20, which are correspondingly disposed on a plurality of pieces of mining equipment (for example, N pieces of mining equipment in fig. 1, where N is a positive integer greater than 1).
In the embodiment of the present application, the data acquisition device 20 may be various types of sensors, such as a vacuum degree acquisition sensor, a vibration sensor, a temperature sensor, and the like.
Referring to fig. 2, fig. 2 is a flowchart illustrating an implementation of a method for detecting a fault of mining equipment according to an embodiment of the present application. The execution main body may be a fault detection center, and the fault detection center may be connected (wired or wireless) to a plurality of mining devices. As shown in fig. 1, the method for detecting a fault of mining equipment may include steps S101 to S103, which are described in detail as follows:
s101: and acquiring the operation data of the mining equipment.
The operation data are operation data of key parameters of the mining equipment.
In the embodiment of the application, the different types of mining equipment have different structures and different working principles, so that the corresponding key parameters of the different types of mining equipment are different.
Before the operational data of the mining equipment is acquired, the type of the mining equipment may be determined, and then the operational data to be acquired may be determined based on the type of the mining equipment. It should be noted that each mining equipment may have a corresponding equipment number, and the type of the mining equipment may be determined by the equipment number.
For example, the equipment code of the mining equipment described above may include a type field for indicating the type of the mining equipment and a number field for indicating the number of the mining equipment in the same type of equipment. For example, assume that the code of the mining equipment is a001, where a is the equipment type and 001 is the equipment number.
The fault detection center can acquire the equipment code, further determine the equipment type of the mining equipment, and then send an instruction for acquiring the operation data of the key parameters to the mining equipment, so that the data acquisition device arranged in the mining equipment acquires the operation data of the key parameters and transmits the operation data back to the fault detection center, and the acquisition of the operation data is completed.
Specifically, since the corresponding key parameters of different types of mining equipment are different, the acquired operation data are also different, a certain type of mining equipment can be associated with the corresponding key parameters, and when the fault detection is started, the fault detection center can control the sensor in the mining equipment to acquire the operation data corresponding to the key parameters. Of course, the fault detection center may also send a data acquisition instruction to the mining equipment in real time to acquire the operation data of the key parameters of the mining equipment in real time.
The operation data of the mining equipment can be acquired by a sensor arranged in the mining equipment. In particular, the type of sensor provided will vary from mining equipment to mining equipment, as the key parameters will vary.
For example, different types of sensors, such as a vacuum sensor, a vibration sensor, a temperature sensor, and a humidity sensor, may be provided to acquire operating data, such as vibration data, temperature data, and humidity data.
In another embodiment of the present application, before S101, the key parameters of the mining equipment may also be determined from historical data.
In specific application, for the mining equipment of an unused type, the key parameters of the mining equipment of the type can be analyzed by acquiring the historical data of the mining equipment of each type. The historical data may include historical fault data including all operational data of the mining equipment at the time of the fault and historical normal data including all operational data of the mining equipment at the time of normal operation.
In a specific application, when mining equipment fails, all operation data of the mining equipment at the moment can be acquired, and then the operation data is compared with all operation data of the mining equipment in normal operation, so that the operation data of which positions are abnormal when the mining equipment fails can be determined, and the parameters corresponding to the positions are determined as key parameters.
In an exemplary case, a ceramic filter is taken as an example, the ceramic filter is a device for cleaning, filtering and solid-liquid separation of ores through a vacuum system, and mainly comprises a vacuum pump working to enable the ceramic filter to be in a vacuum state, and common faults comprise no vacuum in the vacuum system and low vacuum degree in the vacuum system. Therefore, can acquire the whole operational data (including vacuum system's vacuum) of ceramic-filter when normal work to and the operational data (including vacuum system's vacuum) when the abnormal conditions appears, compare the processing through big data processing platform to data, just can determine that there is the difference in the vacuum system when normal work and when breaking down, and then just can determine that the vacuum is the key parameter of ceramic-filter when breaking down.
For example, referring to fig. 3, when the ceramic filter is normally operated, a curve to which vacuum data of the vacuum system is fitted is shown in (a) of fig. 3, when there is no vacuum fault in the ceramic filter, a curve to which vacuum data of the vacuum system is fitted is shown in (b) of fig. 3, and when there is a low vacuum fault in the ceramic filter, a curve to which vacuum data of the vacuum system is fitted is shown in (c) of fig. 3. As can be seen from FIG. 3, during normal operation, the vacuum degree of the vacuum system maintains a high differential pressure, and the vacuum degree is near-0.095 MPa; when there is no vacuum fault, the vacuum degree is near 0, mainly because the vacuum pump does not work to cause the fault; when the fault of low vacuum degree exists, the numerical value absolute value of the vacuum degree is obviously lower than 0.095Mpa, and the problems of low solid-liquid separation speed and high water content of the ceramic filter are caused when the ceramic filter works under the vacuum degree. Therefore, for the ceramic filter, the degree of vacuum of the vacuum system can be set as a key parameter.
Also illustratively, a mine hoist is a large-scale hoisting machine, taking the mine hoist as an example. The motor drives the mechanical equipment to drive the steel wire rope to drive the container to lift in the shaft, and the conveying task is completed. By obtaining and comparing the operation data when the mine hoist works normally with the operation data (including vibration data and temperature data) when the mine hoist breaks down, the abnormal data can be determined when the mine hoist breaks down. After comparison, the key parameters of the mine hoist can be determined to be vibration data and temperature data, specifically vibration data and temperature data of a motor in the mine hoist. Specifically, the vibration sensor may be used to obtain vibration information of the motor bearing, and the temperature sensor may be used to obtain temperature information of the motor bearing.
S102: and generating an operation curve according to the operation data of the mining equipment.
In the embodiment of the application, the operation curve corresponding to the operation data can be generated by performing curve fitting after denoising processing is performed on the obtained operation data. The denoising process may be an outlier removal, a duplicate removal, or the like.
For example, taking a ceramic filter as an example, the vacuum degree curve of the ceramic filter during operation is obtained by obtaining the vacuum degree data of a vacuum system during operation of the ceramic filter and then performing curve fitting. It should be noted that the curve fitting may be implemented by using an existing curve fitting method, which is not described in detail herein.
Illustratively, taking a mine hoist as an example, a vibration curve and a temperature curve of a motor of the mine hoist during operation are obtained by obtaining vibration data and temperature data of the motor and performing curve fitting on the vibration data and the temperature data.
S103: and if the operation curve is matched with a preset fault curve, determining that the mining equipment is in fault.
In the embodiment of the application, the preset fault curve is a curve waveform corresponding to historical fault operation data of the mining equipment. That is, based on the historical fault operation data, a corresponding fault waveform is fitted and stored in the fault detection center in advance, and whether the equipment has a fault or not can be determined by presetting a fault curve.
Specifically, a plurality of preset fault curves may be preset, and different types of faults correspond to different preset fault curves, for example, a low vacuum fault corresponds to one preset fault curve, and a vacuum of 0 corresponds to one preset fault curve. Matching the operation curve obtained in the step S102 with each preset fault curve, and if the matched preset fault curve exists, determining that the mining equipment has a fault, wherein the fault type is a fault type corresponding to the preset fault curve; and if the preset fault curve matched with the preset fault curve does not exist, determining that the mining equipment has no fault and is in normal operation.
In specific application, the corresponding preset fault curves of different mining equipment are different, so that the equipment type of the mining equipment can be determined first, one or more corresponding preset fault curves can be obtained, and then the operation curve obtained in the step S102 is matched with the preset fault curve corresponding to the mining equipment of the equipment type.
It should be noted that, the matching of the operation curve and the preset fault curve means that the waveform similarity between the waveform of the operation curve and the preset fault curve is greater than the similarity threshold. The judgment of the waveform similarity can be implemented in an existing manner, and the similarity threshold may be set according to the actual detection precision requirement, for example, set to 90%, and the like, which is not limited in the present application.
It can be seen from the above that, according to the fault detection method for the mining equipment provided by the embodiment of the application, the real-time operation data of the key parameters of the mining equipment are obtained in real time, then the corresponding operation curve is determined by curve fitting, and then the operation curve is matched with the preset fault waveform, so that whether the mining equipment has a fault or not can be detected quickly and correctly, and the problems of long time consumption and low efficiency in maintenance of the existing mining equipment are solved.
Referring to fig. 4, fig. 4 is a flowchart illustrating an implementation of a fault detection method for mining equipment according to another embodiment of the present application. As shown in fig. 4, different from fig. 2, the health status monitoring method for mining equipment according to the embodiment of the present application may further include the following steps:
s104: and generating a maintenance strategy according to the fault detection result.
The maintenance strategy is used for prompting a maintainer to maintain the mine equipment, and comprises the contents of equipment numbers, fault types, fault removal modes and the like which have faults.
In an embodiment of this application, after determining the maintenance strategy, can send the maintenance strategy for the maintainer, can send the maintenance strategy that generates for the client (maintainer's client) specifically, the maintainer can acquire this maintenance strategy through the client, and then takes this maintenance strategy to overhaul mining equipment.
Illustratively, the service strategy may include a ceramic filter number 001; the fault types are: 0 vacuum degree failure; the failure removal mode is as follows: and replacing the vacuum pump.
It can be seen from the above that, according to the fault detection method for the mining equipment provided by this embodiment, the real-time operation data of the key parameters of the mining equipment is obtained in real time, then the corresponding operation curve is determined by curve fitting, and then the operation curve is matched with the preset fault waveform, so that whether the mining equipment has a fault or not can be detected quickly and correctly, the type of the fault can be determined based on the operation curve and the preset fault curve, and then the corresponding maintenance strategy is determined, so that the maintenance personnel can correspondingly maintain and repair the mining equipment, and the problems of long time consumption and low efficiency in maintenance of the existing mining equipment are solved.
It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present application.
Fig. 5 is a schematic structural diagram of a fault detection apparatus according to an embodiment of the present application. As shown in fig. 5, the failure detection device includes:
the acquiring unit 501 is configured to acquire operation data of mining equipment.
The operation data are operation data of key parameters of the mining equipment.
And the fitting unit 502 is used for generating an operation curve according to the operation data of the mining equipment.
The determining unit 503 is configured to determine that the mining equipment fails if the operation curve matches a preset failure curve.
In an embodiment of the present application, the above-mentioned fault detection apparatus further includes a key parameter determination unit.
The key parameter determining unit is used for determining key parameters of the mining equipment according to historical data.
In an embodiment of the application, the key parameter determining unit is specifically configured to perform data comparison between the historical normal data and the historical fault data to obtain difference data; and determining parameters corresponding to the difference data, and determining the parameters as key parameters.
In an embodiment of the present application, the fault detection apparatus further includes a device code obtaining unit, a device type determining unit, and an instruction sending unit.
The equipment code acquiring unit is used for acquiring the equipment code of the mining equipment.
The equipment type determining unit is used for determining the equipment type of the mining equipment according to the equipment code.
The instruction sending unit is used for sending an instruction for acquiring the operation data of the key parameters corresponding to the equipment types of the mining equipment to the mining equipment.
In an embodiment of the present application, the fault detection apparatus further includes a policy generation unit and a policy transmission unit.
The strategy generating unit is used for generating a maintenance strategy according to the fault detection result.
The strategy sending unit is used for sending the maintenance strategy to the client.
It can be seen from the above that the fault detection device provided by the embodiment of the application can also obtain the real-time operation data of the key parameters of the mining equipment in real time, determine the corresponding operation curve by curve fitting, match the operation curve with the preset fault waveform, quickly and correctly detect whether the mining equipment has a fault, and solve the problems of long time consumption and low efficiency in the existing overhauling of the mining equipment.
It should be noted that, for the information interaction, execution process, and other contents between the above-mentioned devices/units, the specific functions and technical effects thereof are based on the same concept as those of the embodiment of the method of the present application, and specific reference may be made to the part of the embodiment of the method, which is not described herein again.
Fig. 6 is a schematic structural diagram of a terminal device according to an embodiment of the present application. As shown in fig. 6, the terminal device 6 of this embodiment includes: at least one processor 60 (only one shown in fig. 6), a memory 61, and a computer program 62 stored in the memory 61 and operable on the at least one processor 60, the processor 60 implementing the steps in any one of the above-described embodiments of the method of fault detection of mining equipment when executing the computer program 62.
Those skilled in the art will appreciate that fig. 6 is only an example of the terminal device 6, and does not constitute a limitation to the terminal device 6, and may include more or less components than those shown, or combine some components, or different components, such as an input/output device, a network access device, and the like.
The Processor 60 may be a Central Processing Unit (CPU), and the Processor 60 may be other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic device, discrete hardware component, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory 61 may in some embodiments be an internal storage unit of the terminal device 6, such as a hard disk or a memory of the terminal device 6. The memory 61 may also be an external storage device of the terminal device 6 in other embodiments, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like, which are equipped on the terminal device 6. Further, the memory 61 may also include both an internal storage unit and an external storage device of the terminal device 6. The memory 61 is used for storing an operating system, an application program, a BootLoader (BootLoader), data, and other programs, such as program codes of the computer program. The memory 61 may also be used to temporarily store data that has been output or is to be output.
An embodiment of the present application further provides a computer-readable storage medium, where a computer program is stored, and when the computer program is executed by a processor, the steps in any one of the above-mentioned method embodiments for detecting a fault of mining equipment may be implemented.
The embodiment of the application provides a computer program product, and when the computer program product runs on a terminal device, the terminal device is enabled to execute the steps in any one of the above-mentioned method embodiments for detecting the fault of the mining equipment.
It should be noted that, for the information interaction, execution process, and other contents between the above-mentioned devices/units, the specific functions and technical effects thereof are based on the same concept as those of the embodiment of the method of the present application, and specific reference may be made to the part of the embodiment of the method, which is not described herein again.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned function distribution may be performed by different functional units and modules according to needs, that is, the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-mentioned functions. Each functional unit and module in the embodiments may be integrated in one processing unit, or each unit may exist alone physically, or two or more units are integrated in one unit, and the integrated unit may be implemented in a form of hardware, or in a form of software functional unit. In addition, specific names of the functional units and modules are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present application. The specific working processes of the units and modules in the system may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to the related descriptions of other embodiments for parts that are not described or illustrated in a certain embodiment.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
In the embodiments provided in the present application, it should be understood that the disclosed method for detecting a fault of mining equipment may be implemented in other ways. For example, the above-described apparatus/server embodiments are merely illustrative, and for example, the division of the modules or units is only one logical division, and there may be other divisions when actually implemented, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present application and are intended to be included within the scope of the present application.
Claims (10)
1. A method of fault detection for mining equipment, comprising:
acquiring operation data of mining equipment, wherein the operation data are operation data of key parameters of the mining equipment;
generating an operation curve according to the operation data of the mining equipment;
and if the operation curve is matched with a preset fault curve, determining that the mining equipment is in fault.
2. The method for detecting a malfunction of mining equipment according to claim 1, further comprising, before the acquiring operation data of the mining equipment:
and determining key parameters of the mining equipment according to historical data.
3. The fault detection method for mining equipment of claim 2, wherein the historical data includes historical fault data and historical normal data; the determining key parameters of the mining equipment according to historical data comprises:
comparing the historical normal data with the historical fault data to obtain difference data;
and determining parameters corresponding to the difference data, and determining the parameters as key parameters.
4. The method for detecting a malfunction of mining equipment according to claim 1 or 2, characterized by, before the acquiring operation data of the mining equipment, further comprising:
acquiring equipment codes of mining equipment;
determining the equipment type of the mining equipment according to the equipment code;
and sending an instruction for acquiring the operation data of the key parameters corresponding to the equipment type of the mining equipment to the mining equipment.
5. The mining equipment fault detection method of claim 4, wherein before determining that the mining equipment is faulty if the operation curve matches a preset fault curve, comprising:
determining a preset fault curve according to the equipment type of the mining equipment;
and matching the operation curve with a preset fault curve corresponding to the equipment type.
6. The method for detecting the fault of the mining equipment as recited in claim 1, wherein after determining that the mining equipment is faulty if the operation curve matches a preset fault curve, further comprising;
and generating a maintenance strategy according to the fault detection result.
7. The method for detecting a failure of mining equipment of claim 6, wherein after generating the service policy based on the failure detection result, further comprising:
and sending the overhaul strategy to a client.
8. A fault detection device, comprising:
the mining equipment monitoring system comprises an acquisition unit, a monitoring unit and a monitoring unit, wherein the acquisition unit is used for acquiring operation data of mining equipment, and the operation data is operation data of key parameters of the mining equipment;
the fitting unit is used for generating an operation curve according to the operation data of the mining equipment;
and the determining unit is used for determining that the mining equipment breaks down if the operation curve is matched with a preset fault curve.
9. A terminal device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor, when executing the computer program, carries out the steps of the method of fault detection of a mining device according to any one of claims 1 to 7.
10. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the steps of the method of fault detection of mining equipment according to any one of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111160337.5A CN113932849A (en) | 2021-09-30 | 2021-09-30 | Fault detection method of mining equipment and terminal equipment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111160337.5A CN113932849A (en) | 2021-09-30 | 2021-09-30 | Fault detection method of mining equipment and terminal equipment |
Publications (1)
| Publication Number | Publication Date |
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| CN114646350A (en) * | 2022-03-28 | 2022-06-21 | 广东电网有限责任公司 | Switch cabinet chassis fault early warning method, device, equipment and medium |
| CN115079634A (en) * | 2022-07-15 | 2022-09-20 | 重庆中环建设有限公司 | Air compression station variable frequency speed regulation system and method based on 5G Internet of things |
| CN116009463A (en) * | 2023-03-28 | 2023-04-25 | 聊城市冠达机械配件厂 | Bearing retainer production monitoring method, equipment and medium based on industrial Internet |
| CN116308303A (en) * | 2023-05-22 | 2023-06-23 | 天宇正清科技有限公司 | Maintenance plan generation method, device, equipment and medium based on equipment data |
| CN116755414A (en) * | 2023-08-22 | 2023-09-15 | 山东新巨龙能源有限责任公司 | Ore mining equipment supervision system based on Internet of things |
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