CN112418453A - Fault processing method and device, computer equipment and storage medium - Google Patents
Fault processing method and device, computer equipment and storage medium Download PDFInfo
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- 238000004378 air conditioning Methods 0.000 description 17
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Abstract
The application relates to a fault processing method, a fault processing device, computer equipment and a storage medium. The method comprises the following steps: acquiring a to-be-processed fault type and first operating condition data of to-be-processed fault equipment; determining matched second operation condition data from a fault database according to the type of the fault to be processed and the first operation condition data; determining a target fault processing scheme according to a fault processing scheme corresponding to the second operation condition data in the fault database, wherein the target fault processing scheme comprises the following steps: target parameters to be adjusted and target parameter values after adjustment; and sending a target fault processing scheme to the to-be-processed fault equipment so as to enable the to-be-processed fault equipment to recover operation based on the to-be-adjusted target parameters and the adjusted target parameter values. The method can improve the fault processing efficiency.
Description
Technical Field
The present application relates to the field of fault handling technologies, and in particular, to a fault handling method and apparatus, a computer device, and a storage medium.
Background
During operation, the equipment may be affected by some factors, thereby causing a failure. For example, the central air conditioning equipment is a huge system, and there are many factors affecting the normal operation of the central air conditioning equipment during the operation process, so that the central air conditioning equipment is prone to failure during the operation process, and once the central air conditioning equipment fails, the central air conditioning equipment is shut down to affect the use of users, so that the central air conditioning equipment needs to be timely and quickly processed when the central air conditioning equipment fails, so that the central air conditioning equipment can be recovered to the normal operation in the shortest time, and the influence on the use of users is reduced as much as possible.
However, the current fault handling method depends on personal experience of after-sales service personnel, when the central air-conditioning equipment fails, the after-sales service personnel need to acquire parameter values of water inlet and outlet temperature, pressure, load and the like of the central air-conditioning equipment, diagnose the fault according to the experience of the after-sales service personnel, and then provide a fault removing method for relevant personnel to adjust operation parameters of the central air-conditioning equipment.
Disclosure of Invention
In view of the above, it is necessary to provide a fault handling method, a fault handling apparatus, a computer device, and a storage medium capable of improving the efficiency of fault handling.
A method of fault handling, the method comprising:
acquiring a to-be-processed fault type and first operating condition data of to-be-processed fault equipment;
determining matched second operation condition data from a fault database according to the type of the fault to be processed and the first operation condition data;
determining a target fault processing scheme according to a fault processing scheme corresponding to the second operation condition data in the fault database, wherein the target fault processing scheme comprises the following steps: target parameters to be adjusted and target parameter values after adjustment;
and sending the target fault processing scheme to the to-be-processed fault equipment so as to enable the to-be-processed fault equipment to recover to operate based on the to-be-adjusted target parameter and the adjusted target parameter value.
A fault handling apparatus, the apparatus comprising:
the acquisition module is used for acquiring the type of the fault to be processed of the fault equipment to be processed and first operating condition data;
the matching module is used for determining matched second operation condition data from a fault database according to the type of the fault to be processed and the first operation condition data;
a determining module, configured to determine a target fault handling scheme according to a fault handling scheme corresponding to the second operating condition data in the fault database, where the target fault handling scheme includes: target parameters to be adjusted and target parameter values after adjustment;
and the processing module is used for sending the target fault processing scheme to the to-be-processed fault equipment so as to enable the to-be-processed fault equipment to recover to operate based on the to-be-adjusted target parameter and the adjusted target parameter value.
A computer device comprising a memory and a processor, the memory storing a computer program, the processor implementing the following steps when executing the computer program:
acquiring a to-be-processed fault type and first operating condition data of to-be-processed fault equipment;
determining matched second operation condition data from a fault database according to the type of the fault to be processed and the first operation condition data;
determining a target fault processing scheme according to a fault processing scheme corresponding to the second operation condition data in the fault database, wherein the target fault processing scheme comprises the following steps: target parameters to be adjusted and target parameter values after adjustment;
and sending the target fault processing scheme to the to-be-processed fault equipment so as to enable the to-be-processed fault equipment to recover to operate based on the to-be-adjusted target parameter and the adjusted target parameter value.
A computer-readable storage medium, on which a computer program is stored which, when executed by a processor, carries out the steps of:
acquiring a to-be-processed fault type and first operating condition data of to-be-processed fault equipment;
determining matched second operation condition data from a fault database according to the type of the fault to be processed and the first operation condition data;
determining a target fault processing scheme according to a fault processing scheme corresponding to the second operation condition data in the fault database, wherein the target fault processing scheme comprises the following steps: target parameters to be adjusted and target parameter values after adjustment;
and sending the target fault processing scheme to the to-be-processed fault equipment so as to enable the to-be-processed fault equipment to recover to operate based on the to-be-adjusted target parameter and the adjusted target parameter value.
According to the fault processing method, the fault processing device, the computer equipment and the storage medium, when a certain equipment has a fault, the same or most similar working condition of the same fault type can be automatically matched from the fault database according to the fault type and the working condition of the equipment, and the fault processing scheme corresponding to the same or most similar working condition is sent to the equipment for fault processing, so that response and fault removal can be timely and quickly carried out after the equipment has the fault, the problem of long time consumption caused by the fact that parameters need to be adjusted manually for many times can be effectively solved, the downtime of the equipment is reduced, and the fault processing efficiency is improved.
Drawings
FIG. 1 is a diagram of an application environment of a fault handling method in one embodiment;
FIG. 2 is a flow diagram illustrating a method for fault handling in one embodiment;
FIG. 3 is a flow diagram that illustrates a method for fault database generation, according to one embodiment;
FIG. 4 is a block diagram showing the structure of a failure processing apparatus according to an embodiment;
FIG. 5 is a diagram illustrating an internal structure of a computer device according to an embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
The fault handling method provided by the application can be applied to the application environment shown in fig. 1. Where the device 102 communicates with the server 104 over a network. The device 102 may be, but not limited to, an air conditioner, a refrigerator, a washing machine, a water heater, or the like, which may have a failure during operation, and the server 104 may be implemented by an independent server or a server cluster composed of a plurality of servers.
In one embodiment, as shown in fig. 2, a failure handling method is provided, which is described by taking the method as an example applied to the server in fig. 1, and includes the following steps S202 to S208.
S202, acquiring the type of the fault to be processed of the fault equipment to be processed and first operation condition data.
The equipment to be processed with faults represents equipment with faults in the operation process, the type of the equipment to be processed with faults represents the type of the faults of the equipment to be processed with faults, and the first operation working condition data represents operation working condition data corresponding to the equipment to be processed with faults when the equipment to be processed with faults has faults. The equipment with the fault to be processed can transmit the type of the fault to be processed and the first operating condition data to the server through a Data Transmission Unit (DTU) module.
Taking the fault device to be processed as an air conditioner, the fault type to be processed may be, but is not limited to: surge protection, high pressure protection, low pressure protection, freeze protection, compressor start-up failure, compressor current high protection, suction temperature sensor failure, etc., first operating condition data may include, but is not limited to: the system comprises an air conditioner, a water pump, a water. The operating condition data under different fault types may be different, for example, the operating condition data of surge protection includes unit operating mode, ambient temperature, guide vane operating opening, evaporation pressure, condensation pressure, etc., and the operating condition data during low-pressure protection includes unit operating mode, air conditioner inlet water temperature, air conditioner outlet water temperature, ambient temperature, etc.
And S204, determining matched second operation condition data from the fault database according to the type of the fault to be processed and the first operation condition data.
The fault database comprises fault processing schemes under each operation condition when each fault type occurs, the same fault type may correspond to multiple operation conditions, and the same operation condition may correspond to multiple fault processing schemes. The second operation condition data represents the operation condition data stored in the fault database and is matched with the type of the fault to be processed and the first operation condition data, so that the fault processing scheme corresponding to the second operation condition data can be used for eliminating the type of the fault to be processed and the fault corresponding to the first operation condition data.
S206, determining a target fault processing scheme according to the fault processing scheme corresponding to the second operation condition data in the fault database, wherein the target fault processing scheme comprises the following steps: target parameters to be adjusted and target parameter values after adjustment.
One or more fault processing schemes corresponding to the second operation condition data in the fault database may be selected, and one of the fault processing schemes is selected as a target fault processing scheme for processing faults of the to-be-processed fault equipment. The target parameter represents a parameter to be adjusted in the device setting parameter, and the target parameter value represents a value to which the target parameter needs to be adjusted.
For air conditioning equipment, the setting parameters may include, but are not limited to: the system comprises a compressor, a compressor guide vane opening, a bypass valve opening, a unit operation load, a compressor loading and unloading rate, an expansion valve opening, an air suction superheat degree, a troubleshooting superheat degree, a chilled water inlet water temperature, a chilled water outlet water temperature, a cooling water inlet water temperature, a cooling water outlet water temperature, a compressor rated current, a unit optimal operation upper limit, a unit optimal operation lower limit, a unit starting temperature deviation and the like. The setting parameters to be adjusted may be different under different fault types, for example, the setting parameters such as the frequency of the compressor, the opening degree of the guide vane of the compressor, the opening degree of the bypass valve, the operation load of the unit and the like are modified during surge protection, and the setting parameters such as the loading and unloading rate of the compressor, the opening degree of the expansion valve, the suction superheat degree, the inspection superheat degree, the inlet water temperature of the chilled water, the outlet water temperature of the chilled water and the like are modified.
S208, sending a target fault processing scheme to the to-be-processed fault equipment so that the to-be-processed fault equipment can recover to operate based on the to-be-adjusted target parameters and the adjusted target parameter values.
After the server determines the target fault processing scheme, the target parameter to be adjusted and the adjusted target parameter value in the target fault processing scheme can be sent to the controller of the equipment with the fault to be processed through the DTU module, and the controller controls the equipment with the fault to be processed to recover to operate based on the target parameter to be adjusted and the adjusted target parameter value, so as to clear the fault of the equipment with the fault to be processed.
In the fault processing method, when a certain device fails, the same or most similar working condition of the same fault type can be automatically matched from the fault database according to the fault type and the working condition of the device, and the fault processing scheme corresponding to the same or most similar working condition is sent to the device for fault processing, so that the response and fault removal can be timely and quickly carried out after the device fails, and the problem of long time consumption caused by manual multiple parameter adjustment can be effectively solved, thereby reducing the downtime of the device and improving the fault processing efficiency.
In an embodiment, the step of determining the matched second operating condition data from the fault database according to the type of the fault to be processed and the first operating condition data may specifically include: acquiring stored operating condition data corresponding to the type of the fault to be processed from a fault database according to the type of the fault to be processed; and determining second operation condition data from the stored operation condition data according to the similarity of the first operation condition data and each stored operation condition data.
When the same fault type occurs, the operation condition corresponding to the equipment may have multiple conditions, that is, different operation condition data may cause the same fault type, so that in the fault database, there may be multiple stored operation condition data corresponding to the fault type to be processed, and the second operation condition data represents the operation condition data adapted to the first operation condition data in the stored operation condition data corresponding to the fault type to be processed, and may also be understood as the operation condition data identical to the first operation condition data or having a higher similarity.
In an embodiment, the step of determining the second operating condition data from the stored operating condition data according to the similarity between the first operating condition data and each stored operating condition data may specifically be: and obtaining the maximum similarity from the similarities, and determining the stored operation condition data corresponding to the maximum similarity as second operation condition data.
And respectively calculating the similarity between the first operating condition data and each stored operating condition data, and sequencing the calculated similarities according to the size, wherein the similarity is the largest, and the more similar the corresponding stored operating condition data and the first operating condition data can be considered. And determining the stored operating condition data corresponding to the maximum similarity as second operating condition data, so that the possibility that the fault processing scheme corresponding to the second operating condition data is applicable to the to-be-processed fault equipment is higher.
For the air conditioning equipment, the operation condition data of the air conditioning equipment comprises a plurality of parameters such as unit operation modes, ambient temperatures, unit operation loads and the like, when the similarity of two groups of operation condition data is calculated, whether the unit operation modes (such as a refrigeration mode or a heating mode) of the air conditioning equipment are the same or not can be judged, whether the ambient temperatures of the air conditioning equipment and the unit operation modes are close or not can be judged under the same unit operation modes, then whether the unit operation loads are close or not can be judged, and the like, and it can be understood that the similarity of the air conditioning equipment and the unit operation loads is larger when each corresponding parameter.
In an embodiment, the step of determining the target fault handling scheme according to the fault handling scheme corresponding to the second operating condition data in the fault database may specifically include the following steps: according to the second operation condition data, obtaining a stored fault processing scheme and a weight value thereof corresponding to the second operation condition data from a fault database; and determining a target fault handling scheme from the stored fault handling schemes according to the weight value of each stored fault handling scheme.
The fault database comprises fault processing schemes under each operation condition when each fault type occurs and weight values of each fault processing scheme, and under the same fault type and the same operation condition, the corresponding fault processing schemes can have various conditions, namely faults corresponding to the same fault type and the same operation condition data can be solved by adopting various fault processing schemes. The weighted value of the fault handling scheme may be understood as a probability that the fault handling scheme can solve the fault type and the fault under the operating condition corresponding to the fault handling scheme, and the target fault handling scheme may be understood as a fault handling scheme with a higher probability that the fault type to be handled and the fault corresponding to the second operating condition data can be solved in the stored fault handling scheme corresponding to the second operating condition data.
In an embodiment, the step of determining the target fault handling scheme from the stored fault handling schemes according to the weight value of each stored fault handling scheme may specifically be: and obtaining a maximum weight value from the weight values of the stored fault processing schemes, and determining the stored fault processing scheme corresponding to the maximum weight value as a target fault processing scheme.
And sequencing the weighted values of the stored fault processing schemes according to the sizes, wherein the larger the weighted value is, the more the fault processing scheme can solve the fault under the corresponding fault type and working condition. And determining the stored fault processing scheme corresponding to the maximum weight value as a target fault processing scheme, so as to obtain a relatively optimal fault processing scheme.
In one embodiment, as shown in fig. 3, the method for generating the fault database may include the following steps S302 to S306.
S302, known fault data of each sample device are obtained, wherein the known fault data comprise: the known fault type, the known operating condition data, and the known fault handling scheme, the known fault handling scheme including the adjusted known parameter and the adjusted known parameter value.
The sample equipment represents equipment which has faults in the operation process and is subjected to fault elimination through a corresponding fault handling scheme, for any sample equipment, the known fault type represents the fault type of the sample equipment, the known operation condition data represents the operation condition data corresponding to the sample equipment when the fault occurs, the known fault handling scheme represents the fault handling scheme which successfully eliminates the known fault type and the fault corresponding to the known operation condition data, the known parameters represent adjusted equipment setting parameters in the known fault handling scheme, and the known parameter values represent adjusted values of the known parameters.
The known fault handling scheme may be obtained by collecting adjustment parameter record data of the corresponding sample device, for example, when the device 1 has a fault, after-sales service personnel adjust some operation parameters of the device 1 according to personal technical experience, so that the fault of the device 1 is eliminated, during which the adjusted parameters and the adjusted parameter values may be transmitted to a server through a DTU module, and the server collects and subsequently processes the data.
And S304, for each piece of known fault data, inputting the known fault data into a weight calculation model, and obtaining a weight value of the known fault processing scheme.
Each known fault data includes: the known fault type, the known operating condition data and the known fault processing scheme are input into a weight calculation model as characteristics, the weight value of the known fault processing scheme is output by the model and can be used for representing the priority level of selecting the known fault processing scheme to solve the known fault type and the fault corresponding to the known operating condition data, and it can be understood that the higher the weight value of the known fault processing scheme is, the higher the priority level of selecting the known fault processing scheme to solve the known fault type and the fault corresponding to the known operating condition data is.
S306, generating a fault database based on the known fault processing schemes corresponding to the known operating condition data under the known fault types and the weight values of the known fault processing schemes.
For each sample device, a set of correlation data may be obtained, including: the known fault type, the known operation condition data, the known fault processing scheme and the weight value of the known fault processing scheme are stored, the associated data of all sample devices are stored, a fault database is generated, and the fault database contains a large amount of associated data.
In the above embodiment, the technical experiences of a plurality of after-sales service staff can be digitally collected by collecting the fault adjustment parameter record data of each sample device, the weight values of the fault processing schemes under each operating condition when each fault occurs are generated through machine learning and stored in the fault database, and when a certain subsequent device fails, the fault processing schemes with the maximum weight values under the same condition or the most similar condition can be automatically adapted from the fault database to quickly eliminate the device fault.
In an embodiment, after sending the target fault handling scheme to the to-be-handled faulty device so that the to-be-handled faulty device recovers operation based on the target parameter to be adjusted and the adjusted target parameter value thereof, the method may further include the following steps: and updating the fault database according to the type of the fault to be processed, the first operation condition data and the target fault processing scheme.
After the fault of the to-be-processed fault equipment is eliminated through the target fault processing scheme, the to-be-processed fault equipment can be used as sample equipment, relevant data is used as known fault data and is added into a fault database, and the fault database is updated, so that the data in the fault database is further improved, and the accuracy of subsequent fault processing is improved.
In an embodiment, the step of updating the fault database according to the type of the fault to be processed, the first operating condition data, and the target fault processing scheme may specifically include the following steps: inputting the type of the fault to be processed, the first operation condition data and the target fault processing scheme into a weight calculation model to obtain a weight value of the target fault processing scheme; and storing the type of the fault to be processed, the first operating condition data, the target fault processing scheme and the weight value of the target fault processing scheme in a fault database in an associated manner.
After the device with the fault to be processed removes the fault through the target fault processing scheme under the type of the fault to be processed and the first operating condition data, the type of the fault to be processed, the first operating condition data and the target fault processing scheme may be input to the weight calculation model to obtain a weight value of the target fault processing scheme, so as to obtain a set of associated data for the device with the fault to be processed, including: and adding the associated data to a fault database according to the type of the fault to be processed, the first operating condition data, the target fault processing scheme and the weight value of the target fault processing scheme.
It should be noted that, under the type of the fault to be processed and the first operating condition data, the fault to be processed may have a situation that the fault cannot be completely removed through the target fault processing scheme, and the fault may be removed only by manually adjusting other parameters additionally, in this situation, a final actual fault processing scheme may be obtained by combining parameter adjustment and manual parameter adjustment in the target fault processing scheme, and then the type of the fault to be processed, the first operating condition data, and the actual fault processing scheme are input to the weight calculation model to obtain a weight value of the actual fault processing scheme, so as to obtain a set of associated data for the fault to be processed, including: and adding the associated data to a fault database according to the type of the fault to be processed, the first operating condition data, the actual fault processing scheme and the weight value of the actual fault processing scheme.
It should be understood that, although the steps in the flowcharts related to the above embodiments are shown in sequence as indicated by the arrows, the steps are not necessarily executed in sequence as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least a part of the steps in each flowchart related to the above embodiments may include multiple steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of performing the steps or stages is not necessarily sequential, but may be performed alternately or alternately with other steps or at least a part of the steps or stages in other steps.
In one embodiment, as shown in fig. 4, there is provided a fault handling apparatus 400 comprising: an obtaining module 410, a matching module 420, a determining module 430 and a processing module 440, wherein:
the obtaining module 410 is configured to obtain a to-be-processed fault type and first operating condition data of a to-be-processed fault device.
And the matching module 420 is configured to determine matched second operation condition data from the fault database according to the type of the fault to be processed and the first operation condition data.
A determining module 430, configured to determine a target fault handling scheme according to a fault handling scheme corresponding to the second operating condition data in the fault database, where the target fault handling scheme includes: target parameters to be adjusted and target parameter values after adjustment.
The processing module 440 is configured to send a target fault handling scheme to the to-be-handled fault device, so that the to-be-handled fault device recovers operation based on the to-be-adjusted target parameter and the adjusted target parameter value.
In an embodiment, when determining the matched second operating condition data from the fault database according to the type of the fault to be processed and the first operating condition data, the matching module 420 is specifically configured to: acquiring stored operating condition data corresponding to the type of the fault to be processed from a fault database according to the type of the fault to be processed; and determining second operation condition data from the stored operation condition data according to the similarity of the first operation condition data and each stored operation condition data.
In one embodiment, when determining the second operating condition data from the stored operating condition data according to the similarity between the first operating condition data and each stored operating condition data, the matching module 420 is specifically configured to: and obtaining the maximum similarity from the similarities, and determining the stored operation condition data corresponding to the maximum similarity as second operation condition data.
In an embodiment, when determining the target fault handling scheme according to the fault handling scheme corresponding to the second operating condition data in the fault database, the determining module 430 is specifically configured to: according to the second operation condition data, obtaining a stored fault processing scheme and a weight value thereof corresponding to the second operation condition data from a fault database; and determining a target fault handling scheme from the stored fault handling schemes according to the weight value of each stored fault handling scheme.
In an embodiment, when the determining module 430 determines the target fault handling scheme from the stored fault handling schemes according to the weight values of the stored fault handling schemes, it is specifically configured to: and obtaining a maximum weight value from the weight values of the stored fault processing schemes, and determining the stored fault processing scheme corresponding to the maximum weight value as a target fault processing scheme.
In one embodiment, the apparatus further comprises a generation module to generate a fault database. The generation module is specifically configured to: obtaining known fault data for each sample device, the known fault data comprising: the method comprises the steps of obtaining known fault types, known operation condition data and known fault handling schemes, wherein the known fault handling schemes comprise adjusted known parameters and adjusted known parameter values thereof; for each known fault data, inputting the known fault data into a weight calculation model to obtain a weight value of a known fault processing scheme; and generating a fault database based on each known fault processing scheme and the weight value thereof corresponding to each known operating condition data under each known fault type.
In one embodiment, the apparatus further includes an updating module, configured to update the fault database according to the type of the fault to be processed, the first operating condition data, and the target fault handling scheme.
In one embodiment, when the update module updates the fault database according to the type of the fault to be processed, the first operating condition data, and the target fault processing scheme, the update module is specifically configured to: inputting the type of the fault to be processed, the first operation condition data and the target fault processing scheme into a weight calculation model to obtain a weight value of the target fault processing scheme; and storing the type of the fault to be processed, the first operating condition data, the target fault processing scheme and the weight value of the target fault processing scheme in a fault database in an associated manner.
For the specific definition of the fault handling apparatus, reference may be made to the above definition of the fault handling method, which is not described herein again. The respective modules in the fault handling apparatus described above may be implemented in whole or in part by software, hardware, and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, a computer device is provided, which may be a server, the internal structure of which may be as shown in fig. 5. The computer device includes a processor, a memory, and a network interface connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The database of the computer equipment is used for storing relevant data such as fault types, operation condition data, fault processing schemes and weight values thereof. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a fault handling method.
Those skilled in the art will appreciate that the architecture shown in fig. 5 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, a computer device is provided, comprising a memory and a processor, the memory having stored therein a computer program, the processor implementing the steps of the above-described method embodiments when executing the computer program.
In an embodiment, a computer-readable storage medium is provided, on which a computer program is stored, which computer program, when being executed by a processor, carries out the steps of the above-mentioned method embodiments.
It should be understood that the terms "first", "second", etc. in the above-described embodiments are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implying any number of technical features indicated. For the description of numerical ranges, the term "plurality" is understood to be equal to or greater than two.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database or other medium used in the embodiments provided herein can include at least one of non-volatile and volatile memory. Non-volatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical storage, or the like. Volatile Memory can include Random Access Memory (RAM) or external cache Memory. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM), among others.
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (11)
1. A method of fault handling, the method comprising:
acquiring a to-be-processed fault type and first operating condition data of to-be-processed fault equipment;
determining matched second operation condition data from a fault database according to the type of the fault to be processed and the first operation condition data;
determining a target fault processing scheme according to a fault processing scheme corresponding to the second operation condition data in the fault database, wherein the target fault processing scheme comprises the following steps: target parameters to be adjusted and target parameter values after adjustment;
and sending the target fault processing scheme to the to-be-processed fault equipment so as to enable the to-be-processed fault equipment to recover to operate based on the to-be-adjusted target parameter and the adjusted target parameter value.
2. The method of claim 1, wherein determining matching second operating condition data from a fault database based on the type of fault to be processed and the first operating condition data comprises:
according to the type of the fault to be processed, stored operating condition data corresponding to the type of the fault to be processed are obtained from the fault database;
and determining second operating condition data from the stored operating condition data according to the similarity of the first operating condition data and each stored operating condition data.
3. The method of claim 2, wherein determining target operating condition data from the stored operating condition data based on a similarity of the first operating condition data to each of the stored operating condition data comprises:
and obtaining the maximum similarity from the similarities, and determining the stored operation condition data corresponding to the maximum similarity as second operation condition data.
4. The method of claim 1, wherein determining a target fault handling scheme based on the fault handling scheme corresponding to the second operating condition data in the fault database comprises:
according to the second operation condition data, a stored fault processing scheme and a weight value thereof corresponding to the second operation condition data are obtained from the fault database;
and determining a target fault handling scheme from the stored fault handling schemes according to the weight value of each stored fault handling scheme.
5. The method of claim 4, wherein determining a target failure handling scheme from the stored failure handling schemes based on the weight value of each of the stored failure handling schemes comprises:
and obtaining a maximum weight value from the weight values of the stored fault handling schemes, and determining the stored fault handling scheme corresponding to the maximum weight value as a target fault handling scheme.
6. The method according to any one of claims 1 to 5, wherein the method for generating the fault database comprises:
obtaining known fault data for each sample device, the known fault data comprising: known fault types, known operating condition data and known fault handling schemes, wherein the known fault handling schemes comprise adjusted known parameters and adjusted known parameter values thereof;
for each known fault data, inputting the known fault data into a weight calculation model to obtain a weight value of the known fault processing scheme;
and generating a fault database based on the known fault processing schemes corresponding to the known operating condition data under the known fault types and the weight values of the known fault processing schemes.
7. The method of claim 6, further comprising: after sending the target fault handling scheme to the to-be-handled fault device to enable the to-be-handled fault device to recover operation based on the to-be-adjusted target parameter and the adjusted target parameter value thereof, the method further includes:
and updating the fault database according to the type of the fault to be processed, the first operation condition data and the target fault processing scheme.
8. The method of claim 7, wherein updating the fault database based on the type of fault to be handled, the first operating condition data, and the target fault handling scheme comprises:
inputting the type of the fault to be processed, the first operating condition data and the target fault processing scheme into the weight calculation model to obtain a weight value of the target fault processing scheme;
and storing the type of the fault to be processed, the first operating condition data, the target fault processing scheme and the weight value of the target fault processing scheme in the fault database in an associated manner.
9. A fault handling apparatus, characterized in that the apparatus comprises:
the acquisition module is used for acquiring the type of the fault to be processed of the fault equipment to be processed and first operating condition data;
the matching module is used for determining matched second operation condition data from a fault database according to the type of the fault to be processed and the first operation condition data;
a determining module, configured to determine a target fault handling scheme according to a fault handling scheme corresponding to the second operating condition data in the fault database, where the target fault handling scheme includes: target parameters to be adjusted and target parameter values after adjustment;
and the processing module is used for sending the target fault processing scheme to the to-be-processed fault equipment so as to enable the to-be-processed fault equipment to recover to operate based on the to-be-adjusted target parameter and the adjusted target parameter value.
10. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor, when executing the computer program, implements the steps of the method of any of claims 1 to 8.
11. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 8.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113778762A (en) * | 2021-08-23 | 2021-12-10 | 珠海格力电器股份有限公司 | Equipment redundancy backup method and device, computer equipment and storage medium |
| CN114186830A (en) * | 2021-12-02 | 2022-03-15 | 上海申峰工程建设监理有限公司 | BIM-based engineering supervision method and device and electronic equipment |
| CN115018095A (en) * | 2022-05-26 | 2022-09-06 | 平安银行股份有限公司 | Equipment fault processing method, device, equipment and storage medium |
| CN115086137A (en) * | 2022-06-23 | 2022-09-20 | 北京天融信网络安全技术有限公司 | Industrial equipment management method and device |
| CN116911578A (en) * | 2023-09-13 | 2023-10-20 | 华能信息技术有限公司 | Man-machine interaction method of wind power control system |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106060538A (en) * | 2016-06-14 | 2016-10-26 | 青岛海信传媒网络技术有限公司 | Television fault processing method and device, and television |
| CN107294788A (en) * | 2017-07-17 | 2017-10-24 | 郑州云海信息技术有限公司 | A kind of method and device of troubleshooting |
| CN111612337A (en) * | 2020-05-21 | 2020-09-01 | 杭州英集动力科技有限公司 | Automatic issuing method and automatic issuing system for heat supply network scheduling |
-
2020
- 2020-11-23 CN CN202011329866.9A patent/CN112418453A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106060538A (en) * | 2016-06-14 | 2016-10-26 | 青岛海信传媒网络技术有限公司 | Television fault processing method and device, and television |
| CN107294788A (en) * | 2017-07-17 | 2017-10-24 | 郑州云海信息技术有限公司 | A kind of method and device of troubleshooting |
| CN111612337A (en) * | 2020-05-21 | 2020-09-01 | 杭州英集动力科技有限公司 | Automatic issuing method and automatic issuing system for heat supply network scheduling |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113778762A (en) * | 2021-08-23 | 2021-12-10 | 珠海格力电器股份有限公司 | Equipment redundancy backup method and device, computer equipment and storage medium |
| CN113778762B (en) * | 2021-08-23 | 2024-03-19 | 珠海格力电器股份有限公司 | Device redundancy backup method and device, computer device and storage medium |
| CN114186830A (en) * | 2021-12-02 | 2022-03-15 | 上海申峰工程建设监理有限公司 | BIM-based engineering supervision method and device and electronic equipment |
| CN115018095A (en) * | 2022-05-26 | 2022-09-06 | 平安银行股份有限公司 | Equipment fault processing method, device, equipment and storage medium |
| CN115086137A (en) * | 2022-06-23 | 2022-09-20 | 北京天融信网络安全技术有限公司 | Industrial equipment management method and device |
| CN116911578A (en) * | 2023-09-13 | 2023-10-20 | 华能信息技术有限公司 | Man-machine interaction method of wind power control system |
| CN116911578B (en) * | 2023-09-13 | 2024-02-27 | 华能信息技术有限公司 | Man-machine interaction method of wind power control system |
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