CN112130487A - Equipment fault early warning method and device - Google Patents

Equipment fault early warning method and device Download PDF

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Publication number
CN112130487A
CN112130487A CN202010911196.5A CN202010911196A CN112130487A CN 112130487 A CN112130487 A CN 112130487A CN 202010911196 A CN202010911196 A CN 202010911196A CN 112130487 A CN112130487 A CN 112130487A
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CN
China
Prior art keywords
equipment
fault
data
data track
module
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Pending
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CN202010911196.5A
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Chinese (zh)
Inventor
郭树能
史培荣
白金蓬
黎清顾
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Gree Electric Appliances Inc of Zhuhai
Zhuhai Lianyun Technology Co Ltd
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Gree Electric Appliances Inc of Zhuhai
Zhuhai Lianyun Technology Co Ltd
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Application filed by Gree Electric Appliances Inc of Zhuhai, Zhuhai Lianyun Technology Co Ltd filed Critical Gree Electric Appliances Inc of Zhuhai
Priority to CN202010911196.5A priority Critical patent/CN112130487A/en
Publication of CN112130487A publication Critical patent/CN112130487A/en
Pending legal-status Critical Current

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    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00Programme-control systems
    • G05B19/02Programme-control systems electric
    • G05B19/04Programme control other than numerical control, i.e. in sequence controllers or logic controllers
    • G05B19/042Programme control other than numerical control, i.e. in sequence controllers or logic controllers using digital processors
    • G05B19/0428Safety, monitoring
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00Program-control systems
    • G05B2219/20Pc systems
    • G05B2219/24Pc safety
    • G05B2219/24024Safety, surveillance

Abstract

The invention provides an early warning method and device for equipment faults. Wherein, the method comprises the following steps: constructing a fault model library, wherein the fault model library comprises a plurality of models and abnormal operation data tracks corresponding to each model; acquiring real-time operation data of first equipment, wherein the real-time operation data comprises the model of the first equipment and an operation data track of the first equipment; acquiring a plurality of abnormal operation data tracks corresponding to the model of the first equipment from a fault model library according to the model of the first equipment; and generating fault early warning information of the first equipment under the condition that the operation data track of the first equipment is the same as any one of the plurality of abnormal operation data estimates. The technical problems that in the process of using equipment or running the equipment, a worker cannot timely know that the equipment is abnormally operated and the equipment is improperly used, so that the equipment is damaged and the service life of the equipment is shortened are solved.

Description

Equipment fault early warning method and device
Technical Field
The application belongs to the field of software, and particularly relates to an early warning method and device for equipment faults.
Background
With the development of science and technology, more and more electrical equipment are used in production and life, the production efficiency and the life quality of people are improved, the electrical equipment has a certain service life, and the service life of the electrical equipment can be ensured to the maximum extent by a correct use mode.
It should be noted that, in the process of using the equipment or operating the equipment, the staff cannot timely know that the equipment is in abnormal operation and improperly uses the equipment, which results in damage to the equipment and shortened service life.
Disclosure of Invention
The application provides an early warning method and device for equipment faults.
According to a first aspect of the present invention, there is provided a method for warning of a device failure, the method comprising: constructing a fault model library, wherein the fault model library comprises a plurality of models and abnormal operation data tracks corresponding to each model; acquiring real-time operation data of first equipment, wherein the real-time operation data comprises the model of the first equipment and an operation data track of the first equipment; acquiring a plurality of abnormal operation data tracks corresponding to the model of the first equipment from a fault model library according to the model of the first equipment; and generating fault early warning information of the first equipment under the condition that the operation data track of the first equipment is the same as any one of the plurality of abnormal operation data estimates.
Further, constructing the fault model library includes: constructing an equipment operation data table, wherein the operation data table at least comprises IDs of a plurality of equipment and an operation data track corresponding to the ID of each equipment; constructing a fault equipment information base, wherein the fault equipment information base at least comprises IDs of a plurality of fault equipment; obtaining the running data track of the fault equipment corresponding to the ID of the fault equipment from the running data table according to the ID of the fault equipment; and generating a fault model library according to the running data track of the normal equipment and the running data track of the fault equipment in the running data table.
Further, the method according to claim 2, wherein the faulty device information base further includes a model number of the faulty device, and wherein generating the fault model base according to the operation data trace of the normal device and the operation data trace of the faulty device in the operation data table includes: acquiring a running data track of normal equipment corresponding to the type of the fault equipment from a running data table according to the type of the fault equipment, wherein the ID of the normal equipment is different from the ID of the fault equipment; comparing the running data track of the fault equipment with the running data track of the normal equipment, and determining the running data track which is different from the running data track of the normal equipment in the running data track of the fault equipment as an abnormal running data track; and storing the model of the fault equipment and the abnormal operation data track corresponding to the model of the fault equipment into a fault model library.
Further, the failure device information base further includes a failure type, a failure cause and a repair policy corresponding to the type of the failure device, wherein the generating of the failure early warning information of the first device includes: obtaining a fault type, a fault reason and a repair strategy corresponding to the model of the first equipment from a fault equipment information base; and determining real-time operation data of the first equipment, the fault type of the first equipment, the fault reason and the repair strategy as fault early warning information of the first equipment.
Further, running the data track includes: and the operation parameters of the equipment at the non-use time point, wherein the operation parameters at least comprise internal operation data of the equipment and external environment data of the equipment.
According to a second aspect of the present invention, there is provided an apparatus for warning of equipment failure, the apparatus comprising: the fault model library comprises a plurality of models and abnormal data tracks corresponding to each model; the system comprises an acquisition module, a storage module and a processing module, wherein the acquisition module is used for acquiring real-time operation data of first equipment, and the real-time operation data comprises the model of the first equipment and an operation data track of the first equipment; the acquisition module is used for acquiring a plurality of abnormal operation data tracks corresponding to the model of the first equipment from the fault model library according to the model of the first equipment; and the generating module is used for generating the fault early warning information of the first equipment under the condition that the operation data track of the first equipment is the same as any one of the plurality of abnormal operation data estimates.
Further, the building module comprises: the device comprises a first sub-construction module, a second sub-construction module and a third sub-construction module, wherein the first sub-construction module is used for constructing a device operation data table, and the operation data table at least comprises IDs of a plurality of devices and an operation data track corresponding to the ID of each device; the second sub-construction module is used for constructing a fault equipment information base, and the fault equipment information base at least comprises the IDs of a plurality of fault equipment; the first sub-acquisition module is used for acquiring the running data track of the fault equipment corresponding to the ID of the fault equipment from the running data table according to the ID of the fault equipment; and the sub-generation module is used for generating a fault model library according to the running data track of the normal equipment and the running data track of the fault equipment in the running data table.
Further, the faulty device information base further includes a model of the faulty device, wherein the sub-generation module includes: the second sub-acquisition module is used for acquiring the running data track of the normal equipment corresponding to the type of the fault equipment from the running data table according to the type of the fault equipment, wherein the ID of the normal equipment is different from the ID of the fault equipment; the determining module is used for comparing the running data track of the fault equipment with the running data track of the normal equipment and determining the running data track which is different from the running data track of the normal equipment in the running data track of the fault equipment as an abnormal running data track; and the storage module is used for storing the model of the fault equipment and the abnormal operation data track corresponding to the model of the fault equipment to a fault model library.
Further, the failure device information base further includes a failure type, a failure cause, and a repair policy corresponding to the model of the failure device, wherein the generation module includes: the third sub-acquisition module is used for acquiring the fault type, the fault reason and the repair strategy corresponding to the model of the first equipment from the fault equipment information base; and the sub-determination module is used for determining the real-time operation data of the first equipment, the fault type of the first equipment, the fault reason and the repair strategy as the fault early warning information of the first equipment.
Further, running the data track includes: and the operation parameters of the equipment at the non-use time point, wherein the operation parameters at least comprise internal operation data of the equipment and external environment data of the equipment.
The invention provides an early warning method and device for equipment faults. Wherein, the method comprises the following steps: constructing a fault model library, wherein the fault model library comprises a plurality of models and abnormal operation data tracks corresponding to each model; acquiring real-time operation data of first equipment, wherein the real-time operation data comprises the model of the first equipment and an operation data track of the first equipment; acquiring a plurality of abnormal operation data tracks corresponding to the model of the first equipment from a fault model library according to the model of the first equipment; and generating fault early warning information of the first equipment under the condition that the operation data track of the first equipment is the same as any one of the plurality of abnormal operation data estimates. The technical problems that in the process of using equipment or running the equipment, a worker cannot timely know that the equipment is abnormally operated and the equipment is improperly used, so that the equipment is damaged and the service life of the equipment is shortened are solved.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a flowchart of a method for early warning of a device failure according to a first embodiment of the present invention;
fig. 2 is a schematic diagram of an alternative method for warning of a device failure according to a first embodiment of the present invention; and
fig. 3 is a schematic block diagram of an apparatus for early warning of a device failure according to a second embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the technical solutions of the present application will be described in detail below. It is to be understood that the embodiments described are only a few embodiments of the present application and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the examples given herein without making any creative effort, shall fall within the protection scope of the present application.
Example one
As shown in fig. 1, the present application provides a method for warning a device failure, which may include:
step S12, a fault model library is constructed, where the fault model library includes multiple models and abnormal operation data tracks corresponding to the models.
Specifically, in this scheme, to implement the early warning of the device failure, a failure model library may be pre-constructed in the server, where the failure model library may include models of multiple devices, each model in the failure model library corresponds to one or more abnormal operation data tracks, the abnormal operation data track may be a data track when a failure occurs in a device of each model, the operation data track may specifically be an operation parameter of the device at a different time point, and the operation parameter may include dimensions of temperature, voltage, current, and the like, for example, an abnormal operation data track of a portion of a machine related to temperature is [10:00,70 ], [11:00,78 ], [12:00,85 ], [13:00,95 ], "it should be noted that the operation data track in this scheme may be any number of time points (which may be per hour, or per second) of operating parameters.
It should be noted that, in the fault model library, each model may correspond to a plurality of abnormal operation data tracks, that is, each model of equipment may have a plurality of fault conditions, each fault condition corresponds to one abnormal operation data track, and the plurality of abnormal operation data tracks may be operation data tracks of the model of equipment when a fault is about to occur.
Step S14, acquiring real-time operation data of a first device, where the real-time operation data includes a model of the first device and an operation data track of the first device.
Specifically, in this scheme, in order to determine whether the first device is about to fail, the server may first acquire real-time operation data of the first device, where the first device is any device that the server determines is about to fail, and the real-time operation data may include a model of the first device and an operation data track of the first device.
Step S16, obtaining a plurality of abnormal operation data traces corresponding to the model of the first device from the fault model library according to the model of the first device.
Specifically, in this scheme, the server may obtain, from the fault model library, a plurality of abnormal operation data tracks corresponding to the model of the first device through the model of the first device, because the model and one or more abnormal operation data tracks corresponding to each model are included in the fault model library, a plurality of abnormal operation data tracks that may occur to the model may be obtained from the fault model library through the model of the first device.
Step S18 is performed to generate the failure warning information of the first device when the operation data trajectory of the first device is the same as any one of the plurality of abnormal operation data estimates.
Specifically, in the scheme, the server may compare the running data track of the first device with a plurality of abnormal running data tracks in the fault model library in a memorable manner, if the running data track of the first device is different from those in the fault model library, the running data track of the first device is ignored, and if the running data track of the first device is the same as a certain abnormal running data track, the server determines that the first device may possibly fail, and generates the fault early warning information.
It should be noted that, in the present solution, an equipment fault model library is established by collecting an equipment operation data track and an equipment fault condition, and when the equipment operation data track of a user conforms to a certain fault condition, the user is reminded of the fault to be faced.
According to the scheme, a fault model base is constructed, wherein the fault model base comprises a plurality of models and abnormal operation data tracks corresponding to the models; acquiring real-time operation data of first equipment, wherein the real-time operation data comprises the model of the first equipment and an operation data track of the first equipment; acquiring a plurality of abnormal operation data tracks corresponding to the model of the first equipment from the fault model library according to the model of the first equipment; and generating the fault early warning information of the first equipment when the operation data track of the first equipment is the same as any one of the plurality of abnormal operation data estimations. The technical problems that in the process of using equipment or running the equipment, a worker cannot timely know that the equipment is abnormally operated and the equipment is improperly used, so that the equipment is damaged and the service life of the equipment is shortened are solved.
Optionally, the step S12 of building the fault model library may include:
step S122, constructing an apparatus operation data table, where the operation data table at least includes IDs of a plurality of apparatuses and an operation data track corresponding to the ID of each of the apparatuses.
Specifically, in this scheme, the server may alternatively construct an equipment operation table, and when all the equipment operates, the equipment system acquires operation data tracks of all the equipment through each sensor, where the operation data tracks may be operation data of each equipment per second, and the operation data may be data of the equipment in multiple dimensions, such as temperature, current, voltage, and the like, and the parameters may be acquired through a plurality of sensors or signal collectors arranged on the equipment and then uploaded to the background server.
It should also be noted that the model number of each device may also be included in the operation data table.
Step S124, a faulty device information base is constructed, where the faulty device information base at least includes IDs of multiple faulty devices.
Specifically, the server may construct a failure device information base, after the maintenance personnel have checked or repaired other failure devices, the maintenance personnel may manually upload the failure condition of the device to the server in the background for recording, the uploaded failure condition includes information such as a device ID, a device model, a device failure type, a device repair method, a replacement accessory, and the like, and the server constructs the failure device information base according to the information.
Note that the device IDs in the faulty device information base are all IDs of devices that have already failed.
Step S126, obtaining the operation data track of the faulty device corresponding to the ID of the faulty device from the operation data table according to the ID of the faulty device.
Specifically, the server may obtain the operation data track corresponding to the faulty device from the device operation data table constructed in step S122 according to the faulty device ID in the faulty device information base.
Step S128, generating the fault model library according to the operation data trace of the normal device and the operation data trace of the faulty device in the operation data table.
Specifically, in this scheme, the server may perform cross validation on the running data tracks of the normal devices and the running data tracks of the faulty devices in the running data table, so as to generate the fault model library.
Optionally, the faulty device information base further includes a model of the faulty device, where the step S128 of generating the fault model base according to the operation data track of the normal device and the operation data track of the faulty device in the operation data table may include:
step S1281, obtaining, from the operation data table, an operation data track of the normal device corresponding to the model of the faulty device according to the model of the faulty device, where an ID of the normal device is different from an ID of the faulty device.
Specifically, in this scheme, the server may obtain, according to the model of the faulty device, the running data trajectory of the normal device corresponding to the model of the faulty device from the running data table, where it is to be noted that, according to the model of the faulty device, the running data trajectories of the multiple devices may be obtained from the running data table, where the running data trajectory of the faulty device itself is necessarily included, so in this scheme, the running data trajectory corresponding to the ID of the faulty device may be removed from the running data trajectories of the multiple devices obtained from the row data table, and the rest is necessarily the running data trajectory of the normal device.
Step S1283, comparing the operation data trajectory of the faulty device with the operation data trajectory of the normal device, and determining an operation data trajectory different from the operation data trajectory of the normal device in the operation data trajectories of the faulty device as the abnormal operation trajectory.
Specifically, the time is used as an X axis, and various internal and external data are used as Y axes to establish two-dimensional arrays of various running tracks of the fault equipment. For example: taking time as an X axis and external temperature as a Y axis, extracting the time and the external temperature of data corresponding to an operation data table to establish a two-dimensional array T of a temperature operation trackFault of[ time of][ outside temperature ]]。
According to the scheme, the data of other normal equipment with the same equipment model in the equipment operation data table can be extracted to establish the two-dimensional array of each operation track of the normal equipment, for example: two-dimensional array T of external temperature running track1[ time of][ outside temperature ]]...Tn[ time of][ outside temperature ]]。
The scheme can compare the operation data two-dimensional array of the fault equipment with other normal equipment, and intercept a part of data T of abnormal change of the fault equipmentAbnormality (S)[ time of][ outside temperature ]]As an abnormal operation data trace of the malfunctioning device.
Step S1285, storing the model of the faulty device and the abnormal operation trajectory corresponding to the model of the faulty device to the fault model library.
Specifically, the server may store the model of the faulty device and the abnormal operation trajectory corresponding to the model of the faulty device in the fault model library. According to the scheme, through cross validation, normal running data tracks are removed, abnormal running data tracks are reserved, the abnormal running data tracks and the caused fault conditions are constructed into a fault model of the equipment, and the fault model is recorded in a fault model library of a background server.
Optionally, the faulty device information base further includes a fault type, a fault cause, and a repair policy corresponding to the model of the faulty device, where the step S18 of generating the fault warning information of the first device includes:
step S181 is to obtain the failure type, the failure cause, and the repair policy corresponding to the model of the first device from the failed device information base.
Step S182, determining the real-time operation data of the first device, the fault type of the first device, the fault reason, and the repair policy as fault warning information of the first device.
Specifically, when the server determines that the first device is about to fail, the server may determine a failure condition (i.e., a failure type) that may be encountered, abnormal data (i.e., real-time operation data) that causes the failure, and a repair policy as the failure warning information.
Optionally, the fault early warning information can be sent to the client, and the user is reminded by issuing the fault early warning information, so that the user avoids the current use mode, or the user carries out the maintenance work of the equipment in advance.
Optionally, the operation data track includes: the method comprises the steps of obtaining operation parameters of equipment at a non-use time point, wherein the operation parameters at least comprise internal operation data of the equipment and external environment data of the equipment.
Specifically, in this scheme, the server may alternatively construct an equipment operation table, and when all the equipment operates, the equipment system collects internal and external operation data (such as model, equipment ID, time, current, voltage, temperature of each component, vibration amplitude, user setting, volume, and the like) during operation and external environment data (such as temperature, humidity, and the like outside the equipment) of the equipment through each sensor (such as temperature sensor, current sensor, voltage sensor, and the like) per second
This scheme, data through each part inductor of internet collection equipment, establish the data model of equipment before various trouble, the operating condition before equipment accords with certain trouble, judge the trouble that equipment will face in advance, and inform the user through means such as internet, solved at the in-process of use equipment or equipment operation, the staff can not in time know equipment and be in abnormal operation and improper use equipment, lead to the technical problem that equipment damages, life shortens.
The application also provides an optional equipment fault early warning method, which can be divided into the following steps as an optional embodiment in the application:
step 1, combining with the schematic diagram 2, when all devices run, the device system collects internal data (device model, device ID, time, current, voltage, temperature of each component, vibration amplitude, user setting, volume) and external environment data (humidity, temperature, etc.) of running through each sensor (temperature sensor, current sensor, voltage sensor, etc.) every second.
And 2, in combination with the schematic diagram 2, the equipment system uploads all the operation data collected in the step 1 to a background server in real time through a preset internet and records the operation data in an operation data table.
And step 3, with reference to the schematic diagram 2, after the maintenance personnel check or maintain other faulty equipment, manually uploading the fault condition of the equipment to a background server for recording, wherein the uploaded fault condition comprises information such as an equipment ID, an equipment model, an equipment fault type, an equipment repair method, a replacement accessory and the like.
And 4, combining the schematic diagram 2, after the background server receives the equipment fault conditions uploaded by the maintenance personnel, recording the fault conditions in a fault condition table.
And step 5, combining the schematic diagram 2, acquiring the running data of the corresponding fault equipment from the running data table mentioned in the step 2 by using the equipment ID in the fault condition data in the step 4, and performing cross validation on the running data track of the fault equipment and the running data track of the normal equipment to acquire an abnormal running data track, wherein the specific method comprises the following steps:
and 5.1, establishing a two-dimensional array of each running track of the fault equipment by taking time as an X axis and each item of internal and external data as a Y axis. For example: taking time as an X axis and external temperature as a Y axis, extracting the time and the external temperature of data corresponding to an operation data table to establish a two-dimensional array T of a temperature operation trackFault of[ time of][ outside temperature ]]。
Step 5.2, extracting data of other normal devices with the same device model in the operation data table to establish a two-dimensional array of each operation track of the normal devices, for example: two-dimensional array T of external temperature running track1[ time of][ outside temperature ]]...Tn[ time of][ outside temperature ]]。
Step 5.3, comparing the operation data two-dimensional array of the fault equipment with other normal equipment, and intercepting a part of data T of abnormal change of the fault equipmentAbnormality (S)[ time of][ outside temperature ]]As an abnormal operation data trace of the malfunctioning device.
And 6, taking the fault condition and the abnormal operation data track obtained in the step 5 as a fault model and storing the fault model in a fault model library of a background server.
Step 7, after the background server records the operation data in the step 2, the operation data track of the equipment is counted and is compared with the fault model constructed in the step 6 one by one, and if the operation data track of the equipment is different from the operation data track in the fault model library, the operation data track of the equipment is ignored; if the fault model is the same as a certain fault model, the fault condition possibly faced and abnormal data causing the fault are issued to remind a user, so that the user avoids the current use mode, or the user carries out the overhaul work of the equipment in advance.
Example two
The present application further provides an apparatus for warning of device failure, which can be used to implement the method of the first embodiment, and the apparatus can also be disposed in a server or a terminal such as a PC, and as used below, the terms "module", "unit", "sub-unit", and the like can implement a combination of software and/or hardware of predetermined functions. Although the means described in the embodiments below are preferably implemented in software, an implementation in hardware, or a combination of software and hardware is also possible and contemplated.
As shown in fig. 3, the present application provides an apparatus for early warning of a device failure, which may include:
the building module 32 is configured to build a fault model library, where the fault model library includes multiple models and an abnormal data track corresponding to each of the models.
Specifically, in this scheme, to implement the early warning of the device failure, a failure model library may be pre-constructed, where the failure model library may include models of multiple devices, each model in the failure model library corresponds to one or more abnormal operation data tracks, the abnormal operation data track may be a data track of each model of device when the device is about to fail, the operation data track may specifically be an operation parameter of the device at different time points, and the operation parameter may include dimensions such as temperature, voltage, and current, for example, an abnormal operation data track of a portion of a machine related to temperature is [10:00,70 ], [11:00,78 ], [12:00,85 ], [13:00,95 ]), where it is to be noted that an operation data track in this scheme may be any multiple time points in any time period (may be per hour, or per second) of operating parameters.
It should be noted that, in the fault model library, each model may correspond to a plurality of abnormal operation data tracks, that is, each model of equipment may have a plurality of fault conditions, each fault condition corresponds to one abnormal operation data track, and the plurality of abnormal operation data tracks may be operation data tracks of the model of equipment when a fault is about to occur.
The acquisition module 34 is configured to acquire real-time operation data of a first device, where the real-time operation data includes a model of the first device and an operation data track of the first device.
Specifically, in this scheme, in order to determine whether the first device is about to fail, the server may first acquire real-time operation data of the first device, where the first device is any device that the server determines is about to fail, and the real-time operation data may include a model of the first device and an operation data track of the first device.
An obtaining module 36, configured to obtain, from the fault model library, a plurality of abnormal operation data tracks corresponding to the model of the first device according to the model of the first device.
Specifically, in this scheme, the server may obtain, from the fault model library, a plurality of abnormal operation data tracks corresponding to the model of the first device through the model of the first device, because the model and one or more abnormal operation data tracks corresponding to each model are included in the fault model library, a plurality of abnormal operation data tracks that may occur to the model may be obtained from the fault model library through the model of the first device.
A generating module 38, configured to generate the fault warning information of the first device when the operation data track of the first device is the same as any one of the plurality of abnormal operation data estimates.
Specifically, in the scheme, the server may compare the running data track of the first device with a plurality of abnormal running data tracks in the fault model library in a memorable manner, if the running data track of the first device is different from those in the fault model library, the running data track of the first device is ignored, and if the running data track of the first device is the same as a certain abnormal running data track, the server determines that the first device may possibly fail, and generates the fault early warning information.
It should be noted that, in the present solution, an equipment fault model library is established by collecting an equipment operation data track and an equipment fault condition, and when the equipment operation data track of a user conforms to a certain fault condition, the user is reminded of the fault to be faced.
The device provided by the scheme is used for constructing a fault model library through a construction module, wherein the fault model library comprises a plurality of models and abnormal data tracks corresponding to the models; the system comprises an acquisition module, a storage module and a processing module, wherein the acquisition module is used for acquiring real-time operation data of first equipment, and the real-time operation data comprises the model of the first equipment and an operation data track of the first equipment; an obtaining module, configured to obtain, from the fault model library, a plurality of abnormal operation data tracks corresponding to a model of the first device according to the model of the first device; and a generating module, configured to generate the fault warning information of the first device when the operation data trajectory of the first device is the same as any one of the plurality of abnormal operation data estimates. The technical problems that in the process of using equipment or running the equipment, a worker cannot timely know that the equipment is abnormally operated and the equipment is improperly used, so that the equipment is damaged and the service life of the equipment is shortened are solved.
Optionally, the building module may include: the device comprises a first sub-construction module, a second sub-construction module and a third sub-construction module, wherein the first sub-construction module is used for constructing a device operation data table, and the operation data table at least comprises IDs of a plurality of devices and an operation data track corresponding to the ID of each device; the second sub-construction module is used for constructing a fault equipment information base, and the fault equipment information base at least comprises the IDs of a plurality of fault equipment; the first sub-acquisition module is used for acquiring the running data track of the fault equipment corresponding to the ID of the fault equipment from the running data table according to the ID of the fault equipment; and the sub-generation module is used for generating the fault model library according to the running data track of the normal equipment and the running data track of the fault equipment in the running data table.
Optionally, the faulty device information base further includes a model of the faulty device, where the sub-generation module includes: a second sub-obtaining module, configured to obtain, from the operation data table, an operation data track of the normal device corresponding to the model of the faulty device according to the model of the faulty device, where an ID of the normal device is different from an ID of the faulty device; a determining module, configured to compare the operation data trajectory of the faulty device with the operation data trajectory of the normal device, and determine, as the abnormal operation trajectory, an operation data trajectory that is different from the operation data trajectory of the normal device in the operation data trajectories of the faulty device; and the storage module is used for storing the model of the fault equipment and the abnormal operation track corresponding to the model of the fault equipment to the fault model library.
Optionally, the faulty device information base further includes a fault type, a fault cause, and a repair policy corresponding to the model of the faulty device, where the generating module includes: a third sub-obtaining module, configured to obtain, from the faulty device information base, the fault type, the fault cause, and the repair policy that correspond to the model of the first device; and a sub-determination module, configured to determine the real-time operation data of the first device, the fault type of the first device, the fault reason, and the repair policy as fault early warning information of the first device.
Optionally, the operation data track includes: the method comprises the steps of obtaining operation parameters of equipment at a non-use time point, wherein the operation parameters at least comprise internal operation data of the equipment and external environment data of the equipment.
It is understood that the same or similar parts in the above embodiments may be mutually referred to, and the same or similar parts in other embodiments may be referred to for the content which is not described in detail in some embodiments.
It should be noted that, in the description of the present application, the terms "first", "second", etc. are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. In addition, in the description of the present application, the meaning of "plurality" means at least two unless otherwise specified.
It will be understood that when an element is referred to as being "secured to" or "disposed on" another element, it can be directly on the other element or intervening elements may also be present; when an element is referred to as being "connected" to another element, it can be directly connected to the other element or intervening elements may also be present, and further, as used herein, connected may include wirelessly connected; the term "and/or" is used to include any and all combinations of one or more of the associated listed items.
Any process or method descriptions in flow charts or otherwise described herein may be understood as: represents modules, segments or portions of code which include one or more executable instructions for implementing specific logical functions or steps of a process, and the scope of the preferred embodiments of the present application includes other implementations in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the embodiments of the present application.
It should be understood that portions of the present application may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and when the program is executed, the program includes one or a combination of the steps of the method embodiments.
In addition, functional units in the embodiments of the present application may be integrated into one processing module, or each unit may exist alone physically, or two or more units are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module, if implemented in the form of a software functional module and sold or used as a separate article, may also be stored in a computer readable storage medium.
The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc.
In the description herein, reference to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the application. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
Although embodiments of the present application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present application, and that variations, modifications, substitutions and alterations may be made to the above embodiments by those of ordinary skill in the art within the scope of the present application.

Claims (10)

1. A method for early warning of equipment failure, the method comprising:
constructing a fault model library, wherein the fault model library comprises a plurality of models and abnormal operation data tracks corresponding to the models;
acquiring real-time operation data of first equipment, wherein the real-time operation data comprises the model of the first equipment and an operation data track of the first equipment;
acquiring a plurality of abnormal operation data tracks corresponding to the model of the first equipment from the fault model library according to the model of the first equipment;
and generating fault early warning information of the first equipment under the condition that the operation data track of the first equipment is the same as any one of the plurality of abnormal operation data estimates.
2. The method of claim 1, wherein building a fault model library comprises:
constructing an equipment operation data table, wherein the operation data table at least comprises IDs of a plurality of equipment and operation data tracks corresponding to the IDs of each equipment;
constructing a fault equipment information base, wherein the fault equipment information base at least comprises IDs of a plurality of fault equipment;
obtaining the running data track of the fault equipment corresponding to the ID of the fault equipment from the running data table according to the ID of the fault equipment;
and generating the fault model library according to the running data track of the normal equipment and the running data track of the fault equipment in the running data table.
3. The method of claim 2, wherein the faulty equipment information base further includes a model number of the faulty equipment, wherein generating the fault model base according to the operational data trace of the normal equipment and the operational data trace of the faulty equipment in the operational data table comprises:
acquiring a running data track of the normal equipment corresponding to the type of the fault equipment from the running data table according to the type of the fault equipment, wherein the ID of the normal equipment is different from the ID of the fault equipment;
comparing the running data track of the fault equipment with the running data track of the normal equipment, and determining the running data track which is different from the running data track of the normal equipment in the running data track of the fault equipment as the abnormal running data track;
and storing the model of the fault equipment and the abnormal operation data track corresponding to the model of the fault equipment to the fault model library.
4. The method of claim 3, wherein the faulty device information base further includes a fault type, a fault reason, and a repair policy corresponding to a model of the faulty device, and wherein generating the fault warning information of the first device includes:
obtaining the fault type, the fault reason and the repair strategy corresponding to the model of the first equipment from the fault equipment information base;
and determining the real-time operation data of the first equipment, the fault type of the first equipment, the fault reason and the repair strategy as fault early warning information of the first equipment.
5. The method of any of claims 1 to 4, wherein the running data track comprises: the method comprises the steps of operating parameters of the equipment at a non-use time point, wherein the operating parameters at least comprise internal operating data of the equipment and external environment data of the equipment.
6. An early warning device of equipment failure, the device comprising:
the fault analysis system comprises a construction module, a fault analysis module and a fault analysis module, wherein the construction module is used for constructing a fault model library, and the fault model library comprises a plurality of models and abnormal data tracks corresponding to the models;
the system comprises an acquisition module, a storage module and a processing module, wherein the acquisition module is used for acquiring real-time operation data of first equipment, and the real-time operation data comprises the model of the first equipment and an operation data track of the first equipment;
the acquisition module is used for acquiring a plurality of abnormal operation data tracks corresponding to the model of the first equipment from the fault model library according to the model of the first equipment;
and the generating module is used for generating the fault early warning information of the first equipment under the condition that the running data track of the first equipment is the same as any one of the abnormal running data estimation.
7. The apparatus of claim 6, wherein the building module comprises:
the device comprises a first sub-construction module, a second sub-construction module and a third sub-construction module, wherein the first sub-construction module is used for constructing a device operation data table, and the operation data table at least comprises IDs of a plurality of devices and operation data tracks corresponding to the IDs of each device;
the second sub-construction module is used for constructing a fault equipment information base, and the fault equipment information base at least comprises the IDs of a plurality of fault equipment;
the first sub-acquisition module is used for acquiring the running data track of the fault equipment corresponding to the ID of the fault equipment from the running data table according to the ID of the fault equipment;
and the sub-generation module is used for generating the fault model library according to the running data track of the normal equipment and the running data track of the fault equipment in the running data table.
8. The apparatus of claim 7, wherein the faulty device information base further comprises a model number of the faulty device, wherein the sub-generation module comprises:
a second sub-obtaining module, configured to obtain, from the operation data table according to the model of the faulty device, an operation data track of the normal device corresponding to the model of the faulty device, where an ID of the normal device is different from an ID of the faulty device;
the determining module is used for comparing the running data track of the fault equipment with the running data track of the normal equipment and determining the running data track which is different from the running data track of the normal equipment in the running data track of the fault equipment as the abnormal running data track;
and the storage module is used for storing the model of the fault equipment and the abnormal operation data track corresponding to the model of the fault equipment to the fault model library.
9. The apparatus of claim 8, wherein the failed device information base further comprises a failure type, a failure cause, and a repair policy corresponding to a model of the failed device, and wherein the generating module comprises:
a third sub-obtaining module, configured to obtain the fault type, the fault cause, and the repair policy corresponding to the model of the first device from the faulty device information base;
and the sub-determination module is used for determining the real-time operation data of the first equipment, the fault type of the first equipment, the fault reason and the repair strategy as fault early warning information of the first equipment.
10. The apparatus of any of claims 6 to 9, wherein the operational data track comprises: the method comprises the steps of operating parameters of the equipment at a non-use time point, wherein the operating parameters at least comprise internal operating data of the equipment and external environment data of the equipment.
CN202010911196.5A 2020-09-02 2020-09-02 Equipment fault early warning method and device Pending CN112130487A (en)

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CN104038373A (en) * 2014-05-30 2014-09-10 国家电网公司 Information early warning and self repairing system and method
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Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101446827A (en) * 2008-11-06 2009-06-03 西安交通大学 Process fault analysis device of process industry system and method therefor
CN102368634A (en) * 2011-09-14 2012-03-07 文存润 Unified information platform system for state monitoring of intelligent transformer substation
CN104038373A (en) * 2014-05-30 2014-09-10 国家电网公司 Information early warning and self repairing system and method
CN106504367A (en) * 2016-11-02 2017-03-15 中车青岛四方机车车辆股份有限公司 Vehicle trouble method for early warning and device
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