CN111240946A - Processing method and processing system for equipment fault diagnosis data - Google Patents
Processing method and processing system for equipment fault diagnosis data Download PDFInfo
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- 238000003745 diagnosis Methods 0.000 title claims abstract description 88
- 238000012545 processing Methods 0.000 title claims abstract description 49
- 238000003672 processing method Methods 0.000 title abstract description 8
- 238000004458 analytical method Methods 0.000 claims abstract description 24
- 238000000034 method Methods 0.000 claims abstract description 24
- 238000012216 screening Methods 0.000 claims abstract description 22
- 238000013500 data storage Methods 0.000 claims description 7
- 238000006243 chemical reaction Methods 0.000 claims description 3
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- 208000037408 Device failure Diseases 0.000 claims 9
- 208000032368 Device malfunction Diseases 0.000 claims 1
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Abstract
The invention discloses a processing method and a processing system of equipment fault diagnosis data, wherein the method comprises the following steps: incrementally extracting equipment operation data in the last preset period; processing the extracted operation data; operating the operating data according to the fault diagnosis logic to obtain analysis data required by fault diagnosis; screening the analysis data according to the fault diagnosis logic to obtain fault data; and generating a fault diagnosis result set from the fault data and outputting the fault diagnosis result set. The invention processes and analyzes the fault data returned by the equipment, finds the reason of the fault of the machine in time, pushes the diagnosis result to the after-sales personnel to help the after-sales personnel to maintain the machine and pushes the diagnosis result to the technical research personnel to improve the new machine, and has high fault processing efficiency.
Description
Technical Field
The invention relates to the technical field of computers, in particular to a processing method and a processing system of equipment fault diagnosis data.
Background
In the using process of the machine equipment, equipment faults can be caused by other factors such as the equipment, external force and the like, in the traditional method, the machine faults are found by a client and then are fed back to customer service personnel, the machine faults are maintained after sale, the feedback time is long, or the judgment of field experts or experienced maintenance personnel is relied on, the machine fault data is not well utilized, the reasons of the machine faults can not be found in time through the fault data, the diagnosis result is pushed to the after-sale personnel to help the after-sale personnel to maintain the machine, or the diagnosis result is pushed to technical researchers to improve a new machine.
Disclosure of Invention
The invention aims to overcome the technical problem that the prior art can not find the reason of the machine failure in time through failure data, and the diagnosis result is pushed to after-sales personnel to help the after-sales personnel to maintain the machine or to technical researchers to improve a new machine, and provides a processing method and a processing system of equipment failure diagnosis data.
In order to achieve the purpose, the technical scheme adopted by the invention is as follows: a method of processing equipment fault diagnostic data, the method comprising:
incrementally extracting equipment operation data in the last preset period;
processing the extracted operation data;
operating the operating data according to the fault diagnosis logic to obtain analysis data required by fault diagnosis;
screening the analysis data according to the fault diagnosis logic to obtain fault data;
and generating a fault diagnosis result set from the fault data and outputting the fault diagnosis result set.
Further, the processing of the extracted data comprises removing unreasonable error data, complementing incomplete normal data and removing duplicate data.
Further, the equipment operation data are extracted to a Hive database for data processing.
Further, the operation on the operation data comprises a combination and/or association operation.
Further, the screening of the analysis data includes performing conditional preliminary screening, custom function screening, and data field conversion screening on the analysis data.
Further, the fault data and the fault identification and/or the equipment identification are/is used for generating a fault diagnosis result set.
Further, the fault diagnosis result set is saved in a result table of a cluster database or a relational database.
Further, the fault diagnosis result set is displayed visually.
Further, the visual display of the fault diagnosis result comprises a pie chart, a bar chart and a bar chart.
A system for processing equipment failure diagnosis data comprises
The data acquisition module is used for extracting the equipment operation data in the last preset period in an incremental manner;
the logic processing module is used for processing the extracted operation data, calculating the operation data according to the fault diagnosis logic to obtain analysis data required by fault diagnosis, and screening the analysis data according to the fault diagnosis logic to obtain fault data;
the data storage module is used for generating and storing a fault diagnosis result set from the fault data;
and the result pushing module is used for pushing the fault diagnosis result set to a user.
Further, the data storage module includes a database for storing a fault diagnosis result set.
Further, the system also comprises a display module, wherein the display module is used for displaying the fault information of the fault diagnosis result set.
As can be seen from the above description of the present invention, compared with the prior art, the processing method and the processing system for device fault diagnosis data provided by the present invention extract the device operation data in the previous preset period by increment; processing the extracted operation data; operating the operating data according to the fault diagnosis logic to obtain analysis data required by fault diagnosis; screening the analysis data according to the fault diagnosis logic to obtain fault data; the fault data is generated into a fault diagnosis result set and then output, the fault data returned by the equipment is processed and analyzed, the reason of the machine fault is found in time, the diagnosis result is pushed to after-sales personnel to help the after-sales personnel to maintain the machine, the diagnosis result is pushed to technical research personnel to improve a new machine, and the fault processing efficiency is high.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the invention without limiting the invention. In the drawings:
FIG. 1 is a flow chart of a method for processing fault diagnosis data of the apparatus of the present invention;
FIG. 2 is a block diagram of a system for processing device fault diagnostic data in accordance with the present invention.
Detailed Description
The technical solutions in the present invention will be described clearly and completely with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It is noted that the terms "comprises" and "comprising," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
As shown in fig. 1, a method for processing device fault diagnosis data includes the following steps:
s1: incrementally extracting equipment operation data in the last preset period;
s2: processing the extracted operation data;
s3: operating the operating data according to the fault diagnosis logic to obtain analysis data required by fault diagnosis;
s4: screening the analysis data according to the fault diagnosis logic to obtain fault data;
s5: and generating a fault diagnosis result set from the fault data and outputting the fault diagnosis result set.
In the present embodiment, the exhaust gas low temperature protection failure of the compressor is explained,
extracting operation data generated by the compressor in an incremental mode, wherein under a normal condition, a program operates according to days, extracting data of the previous day on the next day for fault diagnosis, and if the program does not operate normally on a certain day, such as power failure and other external factors, all data which are not extracted are extracted in the next operation, and the determination of the increment can be determined in the following mode: inputting an initial increment interval to a data extraction program; detecting whether the data extraction program normally runs; when the data extraction program normally runs, the increment interval is increased until the data extraction program can not normally run, the increment interval is decreased until the data extraction program returns to the normal running to determine the increment interval, extracting data according to a time interval less than or equal to the increment interval, extracting the data by adopting the mode, sending the data to the Hive database, the data is primarily processed, including unreasonable error data elimination processing, incomplete normal data completion processing and repeated data duplication elimination processing, the compressor has exhaust low-temperature protection failure under general conditions, one is internal leakage of the shutdown internal machine, the other is excessive refrigerant, if the running frequency of the compressor is more than 0, the outlet pipe temperature or the inlet pipe temperature of the machine in the shutdown state is less than or equal to the indoor environment temperature by more than 10 ℃ and continuously lasts for more than 5min, and the temperature fluctuation is less than or equal to 4 ℃. When the exhaust low-temperature protection is approached, the outlet pipe temperature or inlet pipe temperature of the shutdown internal machine is less than or equal to 10 ℃ of the indoor environment temperature, the reason of the exhaust low-temperature protection is internal leakage of the shutdown internal machine, if the running frequency of the compressor is greater than 0, the module high-pressure-defrosting temperature is greater than 5 ℃ and the duration is greater than 7min, the reason of the exhaust low-temperature protection is that a system refrigerant is excessive, because data corresponding to the exhaust low-temperature protection fault generally exist in an external machine table, and data such as the outlet pipe temperature or inlet pipe temperature of the shutdown internal machine, the indoor environment temperature and the like generally exist in the internal machine table, the running data of the compressor stored in the internal machine table and the external machine table need to be correlated or combined to obtain analysis; the method comprises the steps of carrying out condition preliminary screening, custom function screening and data field conversion screening on analysis data to obtain fault data, wherein the conditions such as the outlet pipe temperature or the inlet pipe temperature of a shutdown machine is less than or equal to the indoor environment temperature by more than 10 ℃, or the running frequency of a compressor is more than 0 are directly compared, the conditions are firstly judged, simple data screening is carried out to reduce the data volume, so that the server resources required by subsequent operation are saved, then other data screening is carried out, for example, the data meeting the requirement of continuous 5 minutes is screened, the fluctuation of the temperature is judged based on the screening result, all fault data are screened as far as possible, as mentioned above, the compressor has two reasons of exhaust low-temperature protection faults, one is internal leakage of the shutdown machine, the other is too much refrigerant, so that the two reasons need to be integrated, and a fault diagnosis result set is generated together with relevant fault identification and machine identification, for example, the processing scheme in the fault diagnosis result set is as follows: 'advising to check whether the electronic expansion valve and the coil of the electronic expansion valve of the shutdown internal machine are stuck or damaged after sale, checking whether the mainboard of the shutdown internal machine is damaged or not', pushing the advised items to after-sale personnel to help the after-sale personnel to maintain, or to technical researchers to improve the new machine and save the fault diagnosis result set to the cluster database or the result table of the relational database, the data in the result table is displayed visually, for example, by means of a pie chart, a bar chart and the like, a user can visually check the data, the time end node for extracting the data is saved in the increment table, when data are conveniently extracted next time, the end node is used as a start node for extracting data next time, data extraction omission is avoided, the whole processing flow can be compiled into related scripts, and abnormal monitoring and daily maintenance are convenient to carry out.
The embodiment also provides a system for processing equipment fault diagnosis data, as shown in fig. 2, which includes a data acquisition module 1, a logic processing module 2, a data storage module 3, a result pushing module 4, and a display module 5,
the data acquisition module 1 incrementally extracts the equipment operation data in the last preset period; the logic processing module 2 processes the extracted operation data, calculates the operation data according to the fault diagnosis logic to obtain analysis data required by fault diagnosis, and screens the analysis data according to the fault diagnosis logic to obtain fault data; the data storage module 3 generates a fault diagnosis result set from fault data and stores the fault diagnosis result set, the data storage module is a cluster database or a relational database, the fault diagnosis result set is stored in a result table of the database, the result pushing module 4 pushes the fault diagnosis result set to a user, such as an after-sales person, to help the after-sales person to maintain the after-sales person, or pushes the fault diagnosis result set to a technical researcher to improve a new machine, the display module 5 displays fault information of the fault diagnosis result set, the fault information is displayed through a pie chart, a bar chart and the like, the user can visually check the fault diagnosis result set, and the embodiment of the processing method of the equipment fault diagnosis data is explained and is not repeated here.
As can be seen from the above description of the present invention, compared with the prior art, the processing method and the processing system for device fault diagnosis data provided by the present invention extract the device operation data in the previous preset period by increment; processing the extracted operation data; operating the operating data according to the fault diagnosis logic to obtain analysis data required by fault diagnosis; screening the analysis data according to the fault diagnosis logic to obtain fault data; the fault data is generated into a fault diagnosis result set and then output, the fault data returned by the equipment is processed and analyzed, the reason of the machine fault is found in time, the diagnosis result is pushed to after-sales personnel to help the after-sales personnel to maintain the machine, the diagnosis result is pushed to technical research personnel to improve a new machine, and the fault processing efficiency is high. .
The above description is only a few specific embodiments of the present invention, but the design concept of the present invention is not limited thereto, and any insubstantial modifications made by the design concept should fall within the scope of the present invention.
Claims (12)
1. A method of processing equipment fault diagnostic data, the method comprising:
incrementally extracting equipment operation data in the last preset period;
processing the extracted operation data;
operating the operating data according to the fault diagnosis logic to obtain analysis data required by fault diagnosis;
screening the analysis data according to the fault diagnosis logic to obtain fault data;
and generating a fault diagnosis result set from the fault data and outputting the fault diagnosis result set.
2. The method for processing device failure diagnostic data according to claim 1, characterized in that: the processing of the extracted data comprises the steps of removing unreasonable error data, complementing incomplete normal data and removing duplicate data.
3. The method for processing device failure diagnostic data according to claim 1, characterized in that: and extracting the equipment operation data to a Hive database for data processing.
4. The method for processing device failure diagnostic data according to claim 1, characterized in that: the operation on the operation data comprises a combination and/or association operation.
5. The method for processing device failure diagnostic data according to claim 1, characterized in that: the screening of the analysis data comprises the steps of performing condition preliminary screening, custom function screening and data field conversion screening on the analysis data.
6. The method for processing device failure diagnostic data according to claim 1, characterized in that: and generating a fault diagnosis result set by the fault data and the fault identification and/or the equipment identification.
7. The method for processing device malfunction diagnosis data according to claim 1 or 5, characterized in that: and storing the fault diagnosis result set into a result table of a cluster database or a relational database.
8. The method for processing device failure diagnosis data according to any one of claim 1, characterized in that: and visually displaying the fault diagnosis result set.
9. The method for processing device failure diagnostic data according to claim 7, characterized in that: the visual display of the fault diagnosis result comprises a pie chart, a bar chart and a bar chart.
10. A system for processing equipment fault diagnosis data, characterized by: comprises that
The data acquisition module is used for extracting the equipment operation data in the last preset period in an incremental manner;
the logic processing module is used for processing the extracted operation data, calculating the operation data according to the fault diagnosis logic to obtain analysis data required by fault diagnosis, and screening the analysis data according to the fault diagnosis logic to obtain fault data;
the data storage module is used for generating and storing a fault diagnosis result set from the fault data;
and the result pushing module is used for pushing the fault diagnosis result set to a user.
11. The system for processing device failure diagnostic data according to claim 10, wherein: the data storage module includes a database for storing a set of fault diagnosis results.
12. The system for processing device failure diagnostic data according to claim 10, wherein: the system further comprises a display module, and the display module is used for displaying the fault information of the fault diagnosis result set.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113485287A (en) * | 2021-06-23 | 2021-10-08 | 佛山科学技术学院 | Multi-granularity-measurement dynamic system fault diagnosis method and system |
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