CN112231359A - Method and device for detecting working condition of cast iron equipment - Google Patents
Method and device for detecting working condition of cast iron equipment Download PDFInfo
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- CN112231359A CN112231359A CN202011169174.2A CN202011169174A CN112231359A CN 112231359 A CN112231359 A CN 112231359A CN 202011169174 A CN202011169174 A CN 202011169174A CN 112231359 A CN112231359 A CN 112231359A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
- G06F16/2465—Query processing support for facilitating data mining operations in structured databases
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/10—File systems; File servers
- G06F16/18—File system types
- G06F16/1805—Append-only file systems, e.g. using logs or journals to store data
- G06F16/1815—Journaling file systems
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
- G06F16/2474—Sequence data queries, e.g. querying versioned data
Abstract
The method and the device for detecting the working condition of the cast iron equipment, provided by the invention, are used for acquiring a first running log record and a second running log record in the running process of the cast iron equipment, acquiring a difference record of the first running log record and the second running log record, converting the difference record into a target event queue, and determining the fluctuation condition of the cast iron equipment in the running process within the cast iron production time period between the first running log record and the second running log record according to the event state attribute of the log event in the target event queue. So, can carry out the operating mode detection of continuation to cast iron equipment.
Description
Technical Field
The invention relates to the technical field of cast iron, in particular to a method and a device for detecting working conditions of cast iron equipment.
Background
Due to the severe working environment of the cast iron equipment, the cast iron equipment is easy to break down in the working process, and further large-scale production accidents are caused.
Therefore, how to continuously detect the working condition of the cast iron equipment is a technical problem to be solved at the present stage.
Disclosure of Invention
In order to solve the problems, the invention provides a method and a device for detecting the working condition of cast iron equipment.
A method for detecting the working condition of cast iron equipment comprises the following steps:
acquiring a first operation log record and a second operation log record of a cast iron device in the operation process, wherein the first operation log record and the second operation log record are operation log records corresponding to a temperature control unit of the cast iron device in the operation process;
obtaining a difference record of the first running log record and the second running log record, wherein the difference record represents a difference description value between corresponding log events between the first running log record and the second running log record;
converting the difference record into a target event queue, wherein the target event queue comprises a plurality of log events;
and determining the fluctuation condition of the cast iron equipment during operation in the cast iron production time period from the first operation log record to the second operation log record according to the event state attribute of the log event in the target event queue.
Further, the obtaining a difference record of the first running log record and the second running log record includes: determining a first recording feature set corresponding to the first running log record and a second recording feature set corresponding to the second running log record; and subtracting the first recording feature set and the second recording feature set to obtain the difference record, wherein the difference record is expressed in a feature set form, and the feature set comprises feature evaluation coefficients corresponding to difference description values among the log events.
Further, the converting the difference record into a target event queue includes: acquiring the feature evaluation coefficient in the feature set corresponding to the difference record; and converting the characteristic evaluation coefficient into an event state attribute to obtain the target event queue, wherein the target event queue is expressed in the form of an event state attribute matrix.
Further, the determining, according to the event state attribute of the log event in the target event queue, a fluctuation situation of the cast iron equipment during operation in the cast iron production time period between the first operation log record and the second operation log record includes: determining a maximum event state attribute of the log event from the target event queue; in response to the maximum event state property being less than an event state property requirement, determining that there is fluctuation in the cast iron equipment operation during a cast iron production period between the first run log record and the second run log record.
A cast iron equipment condition detection device, the device includes:
the system comprises a log acquisition module, a temperature control unit and a control module, wherein the log acquisition module is used for acquiring a first operation log record and a second operation log record in the operation process of the cast iron equipment, and the first operation log record and the second operation log record are the operation log records corresponding to the temperature control unit in the operation process of the cast iron equipment;
a difference determining module, configured to obtain a difference record of the first running log record and the second running log record, where the difference record represents a difference description value between corresponding log events between the first running log record and the second running log record;
the event conversion module is used for converting the difference record into a target event queue, and the target event queue comprises a plurality of log events;
and the fluctuation detection module is used for determining the fluctuation condition of the cast iron equipment in operation in the cast iron production time period from the first operation log record to the second operation log record according to the event state attribute of the log event in the target event queue.
By applying the method and the device, a first running log record and a second running log record in the running process of the cast iron equipment are obtained, a difference record of the first running log record and the second running log record is obtained, the difference record is converted into a target event queue, and the fluctuation condition of the cast iron equipment in running in the cast iron production time period from the first running log record to the second running log record is determined according to the event state attribute of the log event in the target event queue. So, can carry out the operating mode detection of continuation to cast iron equipment.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
FIG. 1 is a flowchart of a method for detecting the working condition of a cast iron device according to an embodiment of the invention.
Fig. 2 is a functional block diagram of a cast iron equipment working condition detection device according to an embodiment of the present invention.
Fig. 3 is a schematic diagram of a hardware structure of a server according to an embodiment of the present invention.
Detailed Description
In order to better understand the technical solutions of the present invention, the following detailed descriptions of the technical solutions of the present invention are provided with the accompanying drawings and the specific embodiments, and it should be understood that the specific features in the embodiments and the examples of the present invention are the detailed descriptions of the technical solutions of the present invention, and are not limitations of the technical solutions of the present invention, and the technical features in the embodiments and the examples of the present invention may be combined with each other without conflict.
Referring to fig. 1, a method for detecting the condition of a cast iron device is shown, which is applied to a server and includes the following steps S11-S14.
Step S11, acquiring a first operation log record and a second operation log record in the operation process of the cast iron equipment, wherein the first operation log record and the second operation log record are the operation log records corresponding to the temperature control unit in the operation process of the cast iron equipment.
Step S12, obtaining a difference record between the first running log record and the second running log record, where the difference record represents a difference description value between corresponding log events between the first running log record and the second running log record.
Step S13, converting the difference record into a target event queue, where the target event queue includes a plurality of log events.
Step S14, determining fluctuation conditions of the cast iron equipment during operation in the cast iron production time period from the first operation log record to the second operation log record according to the event state attribute of the log event in the target event queue.
By executing the steps S11-S14, a first operation log record and a second operation log record of the cast iron equipment in the operation process are obtained, a difference record of the first operation log record and the second operation log record is obtained, the difference record is converted into a target event queue, and the fluctuation condition of the cast iron equipment in the operation process in the cast iron production time period between the first operation log record and the second operation log record is determined according to the event state attribute of the log event in the target event queue. Thus, the working condition detection of the continuity of the cast iron equipment can be carried out
Further, the obtaining a difference record of the first running log record and the second running log record includes: determining a first recording feature set corresponding to the first running log record and a second recording feature set corresponding to the second running log record; and subtracting the first recording feature set and the second recording feature set to obtain the difference record, wherein the difference record is expressed in a feature set form, and the feature set comprises feature evaluation coefficients corresponding to difference description values among the log events.
Further, the converting the difference record into a target event queue includes: acquiring the feature evaluation coefficient in the feature set corresponding to the difference record; and converting the characteristic evaluation coefficient into an event state attribute to obtain the target event queue, wherein the target event queue is expressed in the form of an event state attribute matrix.
Further, the determining, according to the event state attribute of the log event in the target event queue, a fluctuation situation of the cast iron equipment during operation in the cast iron production time period between the first operation log record and the second operation log record includes: determining a maximum event state attribute of the log event from the target event queue; in response to the maximum event state property being less than an event state property requirement, determining that there is fluctuation in the cast iron equipment operation during a cast iron production period between the first run log record and the second run log record.
As shown in fig. 2, there is shown a cast iron equipment condition detecting apparatus 200, which includes:
the log obtaining module 210 is configured to obtain a first operation log record and a second operation log record in an operation process of the cast iron equipment, where the first operation log record and the second operation log record are operation log records corresponding to a temperature control unit in the operation process of the cast iron equipment;
a difference determining module 220, configured to obtain a difference record of the first running log record and the second running log record, where the difference record represents a difference description value between corresponding log events between the first running log record and the second running log record;
an event conversion module 230, configured to convert the difference record into a target event queue, where the target event queue includes a plurality of log events;
and the fluctuation detection module 240 is configured to determine a fluctuation condition of the cast iron equipment during operation in the cast iron production time period between the first operation log record and the second operation log record according to the event state attribute of the log event in the target event queue.
Referring to fig. 3, a hardware block diagram of the server 110 is provided.
Fig. 3 is a block diagram illustrating a server 110 according to an embodiment of the present invention. The server 110 in the embodiment of the present invention may be a server with data storage, transmission, and processing functions, as shown in fig. 3, the server 110 includes: the device comprises a memory 111, a processor 112, a network module 113 and a cast iron equipment working condition detection device 200.
The memory 111, the processor 112, and the network module 113 are electrically connected directly or indirectly to enable transmission or interaction of data. For example, the components may be electrically connected to each other via one or more communication buses or signal lines. The storage 111 stores a cast iron equipment working condition detection device 200, the cast iron equipment working condition detection device 200 comprises at least one software functional module which can be stored in the storage 111 in the form of software or firmware (firmware), and the processor 112 executes various functional applications and data processing by running the software programs and modules stored in the storage 111, such as the cast iron equipment working condition detection device 200 in the embodiment of the present invention, so as to implement the cast iron equipment working condition detection method in the embodiment of the present invention.
The Memory 111 may be, but is not limited to, a Random Access Memory (RAM), a Read Only Memory (ROM), a Programmable Read-Only Memory (PROM), an Erasable Read-Only Memory (EPROM), an electrically Erasable Read-Only Memory (EEPROM), and the like. The memory 111 is used for storing a program, and the processor 112 executes the program after receiving the execution instruction.
The processor 112 may be an integrated circuit chip having data processing capabilities. The Processor 112 may be a general-purpose Processor including a Central Processing Unit (CPU), a Network Processor (NP), and the like. The various methods, steps and logic blocks disclosed in embodiments of the present invention may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The network module 113 is used for establishing communication connection between the server 110 and other communication terminal devices through a network, and implementing transceiving operation of network signals and data. The network signal may include a wireless signal or a wired signal.
It will be appreciated that the configuration shown in fig. 3 is merely illustrative and that server 110 may include more or fewer components than shown in fig. 3 or have a different configuration than shown in fig. 3. The components shown in fig. 3 may be implemented in hardware, software, or a combination thereof.
An embodiment of the present invention also provides a computer-readable storage medium, which includes a computer program. The computer program controls the server 110 on which the readable storage medium is executed to perform the above-mentioned method.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus and method can be implemented in other ways. The apparatus and method embodiments described above are illustrative only, as the flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, the functional modules in the embodiments of the present invention may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention or a part thereof, which essentially contributes to the prior art, can be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, an electronic device 10, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes. It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The above are merely examples of the present application and are not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.
Claims (5)
1. A method for detecting the working condition of cast iron equipment is characterized by comprising the following steps:
acquiring a first operation log record and a second operation log record of a cast iron device in the operation process, wherein the first operation log record and the second operation log record are operation log records corresponding to a temperature control unit of the cast iron device in the operation process;
obtaining a difference record of the first running log record and the second running log record, wherein the difference record represents a difference description value between corresponding log events between the first running log record and the second running log record;
converting the difference record into a target event queue, wherein the target event queue comprises a plurality of log events;
and determining the fluctuation condition of the cast iron equipment during operation in the cast iron production time period from the first operation log record to the second operation log record according to the event state attribute of the log event in the target event queue.
2. The method of claim 1, wherein obtaining a difference record for the first and second running log records comprises: determining a first recording feature set corresponding to the first running log record and a second recording feature set corresponding to the second running log record; and subtracting the first recording feature set and the second recording feature set to obtain the difference record, wherein the difference record is expressed in a feature set form, and the feature set comprises feature evaluation coefficients corresponding to difference description values among the log events.
3. The method of claim 2, wherein converting the discrepancy record to a target event queue comprises: acquiring the feature evaluation coefficient in the feature set corresponding to the difference record; and converting the characteristic evaluation coefficient into an event state attribute to obtain the target event queue, wherein the target event queue is expressed in the form of an event state attribute matrix.
4. The method according to any one of claims 1 to 3, wherein the determining of the fluctuation situation of the operation of the cast iron equipment in the cast iron production period from the first operation log record to the second operation log record according to the event state attribute of the log event in the target event queue comprises: determining a maximum event state attribute of the log event from the target event queue; in response to the maximum event state property being less than an event state property requirement, determining that there is fluctuation in the cast iron equipment operation during a cast iron production period between the first run log record and the second run log record.
5. A cast iron equipment operating mode detection device, its characterized in that, the device includes:
the system comprises a log acquisition module, a temperature control unit and a control module, wherein the log acquisition module is used for acquiring a first operation log record and a second operation log record in the operation process of the cast iron equipment, and the first operation log record and the second operation log record are the operation log records corresponding to the temperature control unit in the operation process of the cast iron equipment;
a difference determining module, configured to obtain a difference record of the first running log record and the second running log record, where the difference record represents a difference description value between corresponding log events between the first running log record and the second running log record;
the event conversion module is used for converting the difference record into a target event queue, and the target event queue comprises a plurality of log events;
and the fluctuation detection module is used for determining the fluctuation condition of the cast iron equipment in operation in the cast iron production time period from the first operation log record to the second operation log record according to the event state attribute of the log event in the target event queue.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011169174.2A CN112231359A (en) | 2020-10-28 | 2020-10-28 | Method and device for detecting working condition of cast iron equipment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011169174.2A CN112231359A (en) | 2020-10-28 | 2020-10-28 | Method and device for detecting working condition of cast iron equipment |
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| CN112231359A true CN112231359A (en) | 2021-01-15 |
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| Application Number | Title | Priority Date | Filing Date |
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| CN202011169174.2A Withdrawn CN112231359A (en) | 2020-10-28 | 2020-10-28 | Method and device for detecting working condition of cast iron equipment |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113568387A (en) * | 2021-08-06 | 2021-10-29 | 苏州知瑞光电材料科技有限公司 | Data processing method and device based on intelligent manufacturing and electronic equipment |
| CN113918985A (en) * | 2021-09-10 | 2022-01-11 | 广州博依特智能信息科技有限公司 | Security management policy generation method and device |
-
2020
- 2020-10-28 CN CN202011169174.2A patent/CN112231359A/en not_active Withdrawn
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113568387A (en) * | 2021-08-06 | 2021-10-29 | 苏州知瑞光电材料科技有限公司 | Data processing method and device based on intelligent manufacturing and electronic equipment |
| CN113918985A (en) * | 2021-09-10 | 2022-01-11 | 广州博依特智能信息科技有限公司 | Security management policy generation method and device |
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Application publication date: 20210115 |