CN114978879A - Equipment fault analysis method, equipment and medium based on intelligent three-color lamp - Google Patents
Equipment fault analysis method, equipment and medium based on intelligent three-color lamp Download PDFInfo
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/06—Management of faults, events, alarms or notifications
- H04L41/069—Management of faults, events, alarms or notifications using logs of notifications; Post-processing of notifications
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
- G16Y20/00—Information sensed or collected by the things
- G16Y20/20—Information sensed or collected by the things relating to the thing itself
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
- G16Y40/00—IoT characterised by the purpose of the information processing
- G16Y40/10—Detection; Monitoring
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
- G16Y40/00—IoT characterised by the purpose of the information processing
- G16Y40/20—Analytics; Diagnosis
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/06—Management of faults, events, alarms or notifications
- H04L41/0677—Localisation of faults
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/06—Management of faults, events, alarms or notifications
- H04L41/0686—Additional information in the notification, e.g. enhancement of specific meta-data
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B20/00—Energy efficient lighting technologies, e.g. halogen lamps or gas discharge lamps
- Y02B20/40—Control techniques providing energy savings, e.g. smart controller or presence detection
Abstract
The application discloses equipment fault analysis method, equipment and medium based on intelligent three-color lamp, the scheme includes: the Internet of things platform receives an identification code of the platform, which is sent by the intelligent three-color lamp; subscribing the intelligent three-color lamp in the message server through the identification code to acquire the release information sent by the intelligent three-color lamp to the message server; determining a first running state of the monitoring equipment according to a combination of multiple colors in the color state data and a preset color state mapping table; if the first running state belongs to the preset fault state, analyzing the monitoring equipment according to the equipment information and the equipment running data to determine a second running state of the monitoring equipment; and according to the second running state, carrying out fault analysis on the monitoring equipment. When fault analysis is carried out on the equipment, primary analysis is carried out according to the color combination of the three-color lamp, secondary analysis is carried out through equipment operation data after the fault is determined, and the equipment fault analysis efficiency is improved.
Description
Technical Field
The application relates to the field of industrial internet, in particular to an equipment fault analysis method, equipment and a medium based on an intelligent three-color lamp.
Background
With the intelligent and digital transformation of enterprises, the enterprises urgently need to realize digital management of equipment, master the geographic position, the operating condition, the predictive maintenance and the like of the equipment so as to reduce the labor cost.
In traditional way, rely on personnel to interpret manual record running condition behind the tricolor light signal by oneself, manual computing equipment utilization rate, all production data all rely on the manual statistics, the condition that statistics is inaccurate or neglect to count appears easily. Especially, when analyzing the equipment failure, the efficiency is low, and the error is easy to occur.
Disclosure of Invention
In order to solve the above problems, the present application provides an apparatus fault analysis method based on an intelligent three-color lamp, including;
the Internet of things platform receives an identification code of the platform, which is sent by the intelligent three-color lamp;
subscribing the intelligent three-color lamp in a message server through the identification code to acquire release information sent by the intelligent three-color lamp to the message server, wherein the release information comprises equipment information of monitoring equipment, color state data of the intelligent three-color lamp and equipment operation data of the monitoring equipment;
determining a first running state of the monitoring equipment according to the color state data and a preset color state mapping table;
if the first running state belongs to a preset fault state, analyzing the monitoring equipment according to the equipment information and the equipment running data to determine a second running state of the monitoring equipment;
and analyzing the fault of the monitoring equipment according to the second running state.
In one example, the determining a first operating state of the monitoring device according to the color status data and a preset color status mapping table specifically includes:
determining brightness states respectively corresponding to three colors of the intelligent three-color lamp in the color state data, wherein the brightness states comprise at least one of a normally bright state, a normally dark state and a flashing state;
determining a combination state corresponding to the three colors according to the bright and dark state of each color;
and determining a first running state corresponding to the combined state according to a preset color state mapping table.
In one example, after determining the first operating state corresponding to the combined state according to a preset color state mapping table, the method further includes:
if the bright and dark states comprise a flickering state, determining a flickering frequency corresponding to the flickering state;
and performing internal compensation on the first operation state according to the flicker frequency so as to select an adaptive subclass from the subclasses corresponding to the first operation state on the basis of not changing the first operation state.
In an example, the performing, according to the second operating state, a fault analysis on the monitoring device specifically includes:
determining a first fault category for the first operating condition and a second fault category for the second operating condition;
determining a level of intersection between the first fault category and the second fault category;
determining that the crossing level is higher than a preset threshold and that the coverage of the first fault category is not less than the coverage of the first fault category.
In one example, the analyzing the monitoring device according to the device information and the device operation data to determine the second operation state of the monitoring device specifically includes:
according to identity information of a main body subscribing the intelligent three-color lamp, determining that the safety level of the main body relative to the intelligent three-color lamp is lower than a preset level;
performing data cleaning on the equipment operation data, and screening out at least part of the equipment operation data;
if the equipment information meets the preset condition, generating virtual data so as to compensate the screened equipment operation data through the virtual data;
and analyzing the monitoring equipment according to the compensated equipment operation data to determine a second operation state of the monitoring equipment.
In one example, the generating virtual data to compensate the filtered device operation data specifically includes:
determining data types respectively corresponding to the screened at least part of equipment operation data;
determining the data real grade corresponding to the data type according to a preset corresponding relation;
generating first virtual data and second virtual data according to the real grade of the data, wherein the first virtual data are historical data, the second virtual data are generated through a preset algorithm, and the proportion of the first virtual data is in positive correlation with the real grade of the data;
and combining the first virtual data and the second virtual data to obtain virtual data.
In one example, the intelligent tri-color light comprises a GIS positioning module, an active identification module and a data communication port;
the GIS positioning module is used for acquiring the position information;
the active identification module is used for actively sending the identification code to the Internet of things platform;
the data communication port is used for data interaction with the message server.
In one example, the message server is an MQTT server, an MQTT protocol is preset between the message server and the internet of things platform, and the action flow data processing platform is kafka.
On the other hand, this application has still provided equipment failure analysis equipment based on intelligence tristimulus lamp, includes:
at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores instructions executable by the at least one processor to cause the at least one processor to perform:
the Internet of things platform receives an identification code of the platform, which is sent by the intelligent three-color lamp;
subscribing the intelligent three-color lamp in a message server through the identification code to acquire release information sent by the intelligent three-color lamp to the message server, wherein the release information comprises equipment information of monitoring equipment, color state data of the intelligent three-color lamp and equipment operation data of the monitoring equipment;
determining a first operating state of the monitoring equipment according to the color state data and a preset color state mapping table;
if the first running state belongs to a preset fault state, analyzing the monitoring equipment according to the equipment information and the equipment running data to determine a second running state of the monitoring equipment;
and analyzing the fault of the monitoring equipment according to the second running state.
In another aspect, the present application further provides a non-volatile computer storage medium storing computer-executable instructions configured to:
the Internet of things platform receives an identification code of the platform, which is sent by the intelligent three-color lamp;
subscribing the intelligent three-color lamp in a message server through the identification code to acquire release information sent by the intelligent three-color lamp to the message server, wherein the release information comprises equipment information of monitoring equipment, color state data of the intelligent three-color lamp and equipment operation data of the monitoring equipment;
determining a first running state of the monitoring equipment according to the color state data and a preset color state mapping table;
if the first running state belongs to a preset fault state, analyzing the monitoring equipment according to the equipment information and the equipment running data to determine a second running state of the monitoring equipment;
and analyzing the fault of the monitoring equipment according to the second running state.
The scheme provided by the application can bring the following beneficial effects:
when the equipment operation data that intelligent three-color lamp monitored is being counted, no longer only through the manual work, change traditional three-color lamp for intelligent three-color lamp, realize automatic data interaction between intelligent three-color lamp and thing networking platform, the action flow data processing platform, improve man-machine cooperative efficiency, improve operation efficiency, reduce the human cost. When failure analysis is carried out on the equipment, primary analysis is carried out according to the color combination of the three-color lamp, secondary analysis is carried out through equipment operation data after the failure is determined, and the equipment failure analysis efficiency is improved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:
fig. 1 is a schematic flowchart of an apparatus fault analysis method based on an intelligent three-color lamp in an embodiment of the present application;
fig. 2 is a schematic diagram of an apparatus fault analysis apparatus based on an intelligent three-color lamp in an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the technical solutions of the present application will be described in detail and completely with reference to the following specific embodiments of the present application and the accompanying drawings. It should be apparent that the described embodiments are only a few embodiments of the present application, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The technical solutions provided by the embodiments of the present application are described in detail below with reference to the accompanying drawings.
As shown in fig. 1, an embodiment of the present application provides an equipment fault analysis method based on an intelligent tri-color lamp, which is applied to an equipment fault analysis system, where the system mainly includes the intelligent tri-color lamp, an internet of things platform, a message server, and an action stream data processing platform, and the method includes:
s101: the internet of things platform receives the identification code of the intelligent three-color lamp sent by the intelligent three-color lamp.
In order to realize the automatic processing of the intelligent three-color lamp, the identification code can be firstly sent to the platform of the Internet of things. The intelligent three-color lamp comprises a GIS positioning module, an active identification module and a data communication port, and the active identification module can actively send identification codes to the Internet of things platform.
S102: and subscribing the intelligent three-color lamp in a message server through the identification code so as to acquire release information sent to the message server by the intelligent three-color lamp, wherein the release information comprises equipment information of monitoring equipment, color state data of the intelligent three-color lamp and equipment operation data of the monitoring equipment.
When the intelligent three-color lamp sends the identification code, the equipment information of the monitoring equipment, the color state data of the intelligent three-color lamp and the equipment operation data of the monitoring equipment can be sent to the Internet of things platform through the data communication port. The monitoring device may be one or more devices, and multiple devices may have corresponding associations, for example, multiple devices in one device cluster.
The Internet of things platform can subscribe the intelligent three-color lamp in the message server through the identification code, and when the intelligent three-color lamp sends data to the message server, the Internet of things platform can acquire the data. The message server can be an MQTT server, and an MQTT protocol is preset between the message server and the Internet of things platform. MQTT (message queue telemetry transport) is a publish/subscribe paradigm based messaging protocol under the ISO standard (ISO/IEC PRF 20922). It works on the TCP/IP suite and is a publish/subscribe messaging protocol designed for remote devices with poor hardware performance and in poor network conditions.
S103: and determining a first operation state of the monitoring equipment according to the combination of the colors in the color state data and a preset color state mapping table.
Generally speaking, the intelligent three-color lamp has three colors (red, yellow and green for example), wherein red indicates failure, green indicates normal operation, and yellow may indicate different meanings, such as no work, waiting for instructions, etc., according to the user's requirements. However, it can only represent a relatively single state.
Based on this, a color status mapping table is preset, and the color status data also carries combinations of a plurality of colors, and the different combinations correspond to different operating statuses, which are referred to herein as first operating statuses. For example, a red light is not turned on, a green light is turned on, and a yellow light is flashed to indicate that the monitoring device is operating normally, but if the monitoring device continues to operate, the monitoring device is likely to malfunction after a certain time. At this time, the meaning that the color state data can represent can be greatly enriched, which is helpful for rapidly judging the equipment state.
S104: and if the first running state belongs to a preset fault state, analyzing the monitoring equipment according to the equipment information and the equipment running data to determine a second running state of the monitoring equipment.
S105: and analyzing the fault of the monitoring equipment according to the second running state.
And determining that the monitoring equipment belongs to the fault state through the first running state, only belonging to preliminary judgment, and analyzing the equipment running data so as to further know that the monitoring equipment is more accurate in fault, thereby obtaining a second running state and analyzing according to the second running state. Certainly, if the first operating state is the normal state, the second operating state does not need to be obtained through analysis, and computing resources are saved.
When the equipment operating data that intelligent three-color lamp was monitored is being counted, no longer only through the manual work, change traditional three-color lamp for intelligent three-color lamp, realize automatic data interaction between intelligent three-color lamp and thing networking platform, the action flow data processing platform, improve man-machine cooperative efficiency, improve operation efficiency, reduce the human cost. When fault analysis is carried out on the equipment, primary analysis is carried out according to the color combination of the three-color lamp, secondary analysis is carried out through equipment operation data after the fault is determined, and the equipment fault analysis efficiency is improved.
In one embodiment, when the first operation state is confirmed, the bright and dark states corresponding to the three colors of the intelligent three-color lamp in the color state data are determined, and the bright and dark states include a normally bright state, a normally dark state, a flashing state and the like. And then, according to the bright and dark state of each color, determining the corresponding combined state of the three colors, such as red which is normally bright, yellow which flickers, and green which is normally dark. And determining a first running state corresponding to the combined state according to a preset color state mapping table. Therefore, more possibilities of monitoring equipment can be shown through the color state of the intelligent three-color lamp, and rapid analysis is facilitated.
Further, when the flicker state is included in the determined bright-dark state, the flicker frequency corresponding to the flicker state is determined. According to the preset setting, the states represented by different flicker frequencies are different, and at the moment, the first operation state is internally compensated according to the flicker frequencies, so that the adaptive subclass is selected from the subclasses corresponding to the first operation state on the basis of not changing the first operation state. For example, a red light is normally dark, a green light is normally bright, and a yellow light flickers, which indicates that the monitoring device is operating normally, but if the monitoring device continues to operate, the monitoring device is likely to malfunction after a certain time. Wherein, the faster the flashing frequency, the faster the fault that may occur to the monitoring device is, and the subclass at this time may include: failure occurs after a long time, failure occurs within a short time, failure occurs immediately, and the like.
In one embodiment, during the fault analysis by means of the second operating state, a first fault category of the first operating state and a second fault category of the second operating state can be determined. Since the first operating state is a preliminary judgment and may be different from the fault category determined by the second operating state, the crossing level between the first fault category and the second fault category is determined, and the higher the crossing level is, the more similar the fault category between the first fault category and the second fault category is. If the cross level is higher than the preset threshold, and the judgment accuracy of the first fault category is lower than the coverage of the second fault category (because the first fault category is preliminary judgment, the coverage is usually larger, and the accuracy is lower than the second fault category), it indicates that the second fault category basically belongs to the lower concept of the first fault category (for example, the first fault category is a communication fault of the monitoring equipment, and the second fault category is a wireless communication fault of the monitoring equipment), and the faults judged twice are basically consistent, it indicates that no problem occurs in the two judgments, and the next fault analysis can be performed.
In one embodiment, when determining the second operation state, identity information of the subject subscribing to the intelligent three-color lamp is first determined, for example, by an account when the account logs in on an internet platform. And then, if the identity information is the visitor, determining that the security level of the main body relative to the intelligent three-color lamp is lower than a preset level, and if the second operation state obtained by real data is directly disclosed to the main body, easily generating a divulgence condition. For some manufacturers, it may not be convenient to present the actual public data to all users for various reasons such as confidentiality (e.g., the device is the latest lot and wants to have its performance confidential).
Based on this, before analyzing the device operation data, the device may be first subjected to data cleaning to screen out at least part of the device operation data. And then, judging whether the equipment information meets preset conditions or not according to the equipment information (for example, the equipment information comprises equipment ID and position information, determining whether the type of the monitoring equipment belongs to a preset type or not according to the equipment ID, or determining that the monitoring equipment is in a preset range according to the position information), and if yes, generating virtual data to compensate the screened equipment operation data. Therefore, on the premise of less influence on the analysis result, the privacy of the user can be protected, and the business secret of the user can be prevented from being stolen.
Further, when virtual data are generated, data types respectively corresponding to at least part of screened device operation data are determined, and then the data real grade corresponding to the data types is determined according to the preset corresponding relation. The corresponding relation can be manually set, and can be set according to the requirement. And then generating first virtual data and second virtual data according to the real grade of the data, wherein the first virtual data is historical data which is really existing data but not data at the current moment, the second virtual data is generated by a preset algorithm which is not really existing data, the proportion of the first virtual data is positively correlated with the real grade of the data, the higher the real grade of the data is, the higher the proportion of the real historical data is, and then combining the first virtual data and the second virtual data to obtain the virtual data.
In one embodiment, the message server is an MQTT server, an MQTT protocol is preset between the message server and the internet of things platform, and the action flow data processing platform is kafka.
As shown in fig. 2, an embodiment of the present application further provides an apparatus fault analysis apparatus based on an intelligent three-color lamp, including:
at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores instructions executable by the at least one processor to cause the at least one processor to perform:
the Internet of things platform receives an identification code of the intelligent three-color lamp sent by the intelligent three-color lamp;
subscribing the intelligent three-color lamp in a message server through the identification code to acquire release information sent by the intelligent three-color lamp to the message server, wherein the release information comprises equipment information of monitoring equipment, color state data of the intelligent three-color lamp and equipment operation data of the monitoring equipment;
determining a first operating state of the monitoring equipment according to the color state data and a preset color state mapping table;
if the first running state belongs to a preset fault state, analyzing the monitoring equipment according to the equipment information and the equipment running data to determine a second running state of the monitoring equipment;
and analyzing the fault of the monitoring equipment according to the second running state.
An embodiment of the present application further provides a non-volatile computer storage medium storing computer-executable instructions, where the computer-executable instructions are configured to:
the Internet of things platform receives an identification code of the platform, which is sent by the intelligent three-color lamp;
subscribing the intelligent three-color lamp in a message server through the identification code to acquire release information sent by the intelligent three-color lamp to the message server, wherein the release information comprises equipment information of monitoring equipment, color state data of the intelligent three-color lamp and equipment operation data of the monitoring equipment;
determining a first running state of the monitoring equipment according to the color state data and a preset color state mapping table;
if the first running state belongs to a preset fault state, analyzing the monitoring equipment according to the equipment information and the equipment running data to determine a second running state of the monitoring equipment;
and analyzing the fault of the monitoring equipment according to the second running state.
The embodiments in the present application are described in a progressive manner, and the same and similar parts among the embodiments can be referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the device and media embodiments, the description is relatively simple as it is substantially similar to the method embodiments, and reference may be made to some descriptions of the method embodiments for relevant points.
The device and the medium provided by the embodiment of the application correspond to the method one to one, so the device and the medium also have the similar beneficial technical effects as the corresponding method, and the beneficial technical effects of the method are explained in detail above, so the beneficial technical effects of the device and the medium are not repeated herein.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
It should also be noted that 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 like elements in a process, method, article, or apparatus that comprises the element.
The above description is only an example of the present application and is not intended to limit the present application. Various modifications and changes may occur to those skilled in the art to which the present application pertains. 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 (10)
1. An equipment fault analysis method based on an intelligent three-color lamp is characterized by comprising the following steps of;
the Internet of things platform receives an identification code of the platform, which is sent by the intelligent three-color lamp;
subscribing the intelligent three-color lamp in a message server through the identification code to acquire release information sent by the intelligent three-color lamp to the message server, wherein the release information comprises equipment information of monitoring equipment, color state data of the intelligent three-color lamp and equipment operation data of the monitoring equipment;
determining a first operation state of the monitoring equipment according to a combination of a plurality of colors in the color state data and a preset color state mapping table;
if the first running state belongs to a preset fault state, analyzing the monitoring equipment according to the equipment information and the equipment running data to determine a second running state of the monitoring equipment;
and analyzing the fault of the monitoring equipment according to the second running state.
2. The method according to claim 1, wherein determining the first operating state of the monitoring device according to the combination of the plurality of colors in the color status data and a preset color status mapping table specifically includes:
determining brightness states respectively corresponding to three colors of the intelligent three-color lamp in the color state data, wherein the brightness states comprise at least one of a normally bright state, a normally dark state and a flashing state;
determining a combination state corresponding to the three colors according to the bright and dark state of each color;
and determining a first running state corresponding to the combined state according to a preset color state mapping table.
3. The method according to claim 2, wherein after determining the first operating state corresponding to the combined state according to a preset color state mapping table, the method further comprises:
if the bright and dark states comprise a flickering state, determining a flickering frequency corresponding to the flickering state;
and performing internal compensation on the first operation state according to the flicker frequency so as to select an adaptive subclass from the subclasses corresponding to the first operation state on the basis of not changing the first operation state.
4. The method according to claim 1, wherein the performing fault analysis on the monitoring device according to the second operating state specifically includes:
determining a first fault category for the first operating condition and a second fault category for the second operating condition;
determining a level of intersection between the first fault category and the second fault category;
and determining that the cross grade is higher than a preset threshold value, and the judgment precision of the first fault category is lower than the coverage range of the second fault category.
5. The method according to claim 1, wherein the analyzing the monitoring device according to the device information and the device operation data to determine the second operation state of the monitoring device specifically includes:
according to identity information of a main body subscribing the intelligent three-color lamp, determining that the safety level of the main body relative to the intelligent three-color lamp is lower than a preset level;
performing data cleaning on the equipment operation data, and screening out at least part of the equipment operation data;
if the equipment information meets the preset condition, generating virtual data so as to compensate the screened equipment operation data through the virtual data;
and analyzing the monitoring equipment according to the compensated equipment operation data to determine a second operation state of the monitoring equipment.
6. The method of claim 5, wherein the generating virtual data to compensate for the filtered device operational data comprises:
determining data types respectively corresponding to the screened at least part of equipment operation data;
determining the data real grade corresponding to the data type according to a preset corresponding relation;
generating first virtual data and second virtual data according to the real grade of the data, wherein the first virtual data are historical data, the second virtual data are generated through a preset algorithm, and the proportion of the first virtual data is positively correlated with the real grade of the data;
and combining the first virtual data and the second virtual data to obtain virtual data.
7. The method of claim 1, wherein the intelligent tri-color light comprises a GIS location module, an active identification module, and a data communication port;
the GIS positioning module is used for acquiring the position information of the intelligent three-color lamp;
the active identification module is used for actively sending the identification code to the Internet of things platform;
the data communication port is used for data interaction with the message server.
8. The method according to any one of claims 1-7, wherein the message server is an MQTT server, an MQTT protocol is pre-arranged between the message server and the platform of the Internet of things, and the action flow data processing platform is kafka.
9. The utility model provides an equipment trouble analytical equipment based on intelligence trichromatic lamp which characterized in that includes:
at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores instructions executable by the at least one processor to cause the at least one processor to perform:
the Internet of things platform receives an identification code of the intelligent three-color lamp sent by the intelligent three-color lamp;
subscribing the intelligent three-color lamp in a message server through the identification code to acquire release information sent by the intelligent three-color lamp to the message server, wherein the release information comprises equipment information of monitoring equipment, color state data of the intelligent three-color lamp and equipment operation data of the monitoring equipment;
determining a first running state of the monitoring equipment according to the color state data and a preset color state mapping table;
if the first running state belongs to a preset fault state, analyzing the monitoring equipment according to the equipment information and the equipment running data to determine a second running state of the monitoring equipment;
and analyzing the fault of the monitoring equipment according to the second running state.
10. A non-transitory computer storage medium storing computer-executable instructions, the computer-executable instructions configured to:
the Internet of things platform receives an identification code of the platform, which is sent by the intelligent three-color lamp;
subscribing the intelligent three-color lamp in a message server through the identification code to acquire release information sent by the intelligent three-color lamp to the message server, wherein the release information comprises equipment information of monitoring equipment, color state data of the intelligent three-color lamp and equipment operation data of the monitoring equipment;
determining a first running state of the monitoring equipment according to the color state data and a preset color state mapping table;
if the first running state belongs to a preset fault state, analyzing the monitoring equipment according to the equipment information and the equipment running data to determine a second running state of the monitoring equipment;
and analyzing the fault of the monitoring equipment according to the second running state.
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