CN114169712A - Diagnostic analysis method and system based on industrial Internet of things - Google Patents

Diagnostic analysis method and system based on industrial Internet of things Download PDF

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CN114169712A
CN114169712A CN202111407283.8A CN202111407283A CN114169712A CN 114169712 A CN114169712 A CN 114169712A CN 202111407283 A CN202111407283 A CN 202111407283A CN 114169712 A CN114169712 A CN 114169712A
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diagnosis
analysis
things
diagnostic analysis
industrial internet
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李昆
林春久
方晶晶
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Shanghai Hc System Control Technology Co ltd
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Abstract

The invention provides a diagnostic analysis method and a diagnostic analysis system based on an industrial Internet of things, which comprise the following steps: step 1: configuring a diagnosis and analysis process through a graphical diagnosis and analysis tool; step 2: setting a mechanism for triggering diagnosis and analysis, and obtaining a diagnosis and analysis result after the diagnosis and analysis; and step 3: pushing the diagnosis and analysis result to a user; and 4, step 4: and adjusting and optimizing the diagnosis and analysis process according to the user requirements and the actual conditions. The invention solves the problem that a user cannot visually backtrack the diagnosis process through the diagnosis result by providing the graphical diagnosis process record.

Description

Diagnostic analysis method and system based on industrial Internet of things
Technical Field
The invention relates to the technical field of decision assistance, in particular to a diagnostic analysis method and a diagnostic analysis system based on an industrial Internet of things.
Background
At present, the current market mainly adopts a networking direct reporting system to obtain data of various places, and then carries out statistical analysis on the data. However, the networked direct report system can only process a small amount of data in a single format, has insufficient processing capability for big data, and cannot provide decision-making help for decision-makers based on the big data.
Patent document CN107122464A (application number: CN201710289668.6) discloses an assistant decision system and method, including: a data acquisition module for acquiring raw data, the raw data comprising at least one of structured data, semi-structured data, and unstructured data; the data extraction module is used for extracting effective data from the original data to be extracted aiming at the original data to be extracted except for the structured data; the data storage module is used for performing distributed storage on the effective data according to a preset storage format corresponding to the data type of the effective data; the auxiliary decision module is used for determining a corresponding auxiliary decision training model according to the auxiliary decision requirement; determining target data input by the aid of the assistant decision training model; inputting the target data into the assistant decision training model to obtain an assistant decision result; and the output module is used for outputting the assistant decision result. However, the patent cannot solve the problem that the diagnosis logic cannot be modified after being on line, the processing power of big data is not good, and data congestion is easily caused.
Patent document CN108710362A (application number: CN201810659887.3) discloses a method for diagnosing the networking of a numerical control machine based on an industrial internet platform, which collects parameters of the machine through a calculation device at the edge of the numerical control machine, analyzes and processes the parameters based on PASS service provided by the internet platform, opens the parameters to application for service innovation, and finally completes efficiency analysis, report board watching, fault diagnosis, prediction and maintenance, process improvement and remote operation and maintenance of the machine. However, the processing capacity of the patent for big data is insufficient, and decision-making help can not be provided for decision-making persons based on the big data.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide a diagnostic analysis method and a diagnostic analysis system based on the industrial Internet of things.
The diagnosis and analysis method based on the industrial Internet of things provided by the invention comprises the following steps:
step 1: configuring a diagnosis and analysis process through a graphical diagnosis and analysis tool;
step 2: setting a mechanism for triggering diagnosis and analysis, and obtaining a diagnosis and analysis result after the diagnosis and analysis;
and step 3: pushing the diagnosis and analysis result to a user;
and 4, step 4: and adjusting and optimizing the diagnosis and analysis process according to the user requirements and the actual conditions.
Preferably, a gateway node is configured in the diagnostic analysis process, and the type of the gateway includes:
and (3) conditional branching: executing different diagnosis branches according to different condition variables;
divergence and polymerization: divergent means multiple branches are executed simultaneously, and aggregate means wait for all divergent branches to execute to complete.
Preferably, task nodes are configured in the diagnostic analysis process, and the types of the tasks include:
and (3) expression tasks: the system comprises a data processing module, a data processing module and a data processing module, wherein the data processing module is used for executing a logic expression specified by a user, and performing aggregation operation, four arithmetic operations, logic operation and time judgment on industrial Internet of things data in the expression;
and (3) service tasks: the system is used for executing server events, including text splicing, Internet of things index association, message reminding, work order generation and camera snapshot triggering;
manual tasks: and the system is used for sending manual confirmation instructions to specified users, shifts, posts and organizations.
Preferably, the trigger mechanism for the diagnostic analysis comprises: and manually or regularly executing diagnosis, reading and analyzing the configuration of the diagnosis process after a diagnosis analysis mechanism is triggered, sequentially or parallelly executing diagnosis nodes according to the configured diagnosis sequence, suspending execution when the nodes meet the manual task type, continuing after the manual input is confirmed, recording logs and data in the execution process for post analysis, and recording a diagnosis result.
Preferably, the diagnostic analysis result is pushed to the user in a form including a system message, a short message and a report document, the actual situation and the diagnostic analysis result are compared, and the diagnostic analysis process is adjusted and optimized.
The invention provides a diagnostic and analytical system based on an industrial Internet of things, which comprises:
module M1: configuring a diagnosis and analysis process through a graphical diagnosis and analysis tool;
module M2: setting a mechanism for triggering diagnosis and analysis, and obtaining a diagnosis and analysis result after the diagnosis and analysis;
module M3: pushing the diagnosis and analysis result to a user;
module M4: and adjusting and optimizing the diagnosis and analysis process according to the user requirements and the actual conditions.
Preferably, a gateway node is configured in the diagnostic analysis process, and the type of the gateway includes:
and (3) conditional branching: executing different diagnosis branches according to different condition variables;
divergence and polymerization: divergent means multiple branches are executed simultaneously, and aggregate means wait for all divergent branches to execute to complete.
Preferably, task nodes are configured in the diagnostic analysis process, and the types of the tasks include:
and (3) expression tasks: the system comprises a data processing module, a data processing module and a data processing module, wherein the data processing module is used for executing a logic expression specified by a user, and performing aggregation operation, four arithmetic operations, logic operation and time judgment on industrial Internet of things data in the expression;
and (3) service tasks: the system is used for executing server events, including text splicing, Internet of things index association, message reminding, work order generation and camera snapshot triggering;
manual tasks: and the system is used for sending manual confirmation instructions to specified users, shifts, posts and organizations.
Preferably, the trigger mechanism for the diagnostic analysis comprises: and manually or regularly executing diagnosis, reading and analyzing the configuration of the diagnosis process after a diagnosis analysis mechanism is triggered, sequentially or parallelly executing diagnosis nodes according to the configured diagnosis sequence, suspending execution when the nodes meet the manual task type, continuing after the manual input is confirmed, recording logs and data in the execution process for post analysis, and recording a diagnosis result.
Preferably, the diagnostic analysis result is pushed to the user in a form including a system message, a short message and a report document, the actual situation and the diagnostic analysis result are compared, and the diagnostic analysis process is adjusted and optimized.
Compared with the prior art, the invention has the following beneficial effects:
(1) the invention solves the problems that the user can not define the diagnosis logic by providing the diagnosis tool supporting the user-defined configuration and the diagnosis logic can not be modified after being on line;
(2) by providing the abstracted and universal diagnosis and analysis nodes in the diagnosis tool, the diagnosis and configuration process is simplified, and the problems of complexity and difficult use of the configuration process are solved;
(3) according to the method, the industrial Internet of things support is introduced into the diagnosis and analysis node, and the industrial Internet of things data is applied to analysis logic, so that the problem that the industrial Internet of things data is difficult to use in the diagnosis process is solved;
(4) the invention enables the user to configure in a thinking logic diagram mode by imaging the configuration tool, thereby solving the problems of complex, non-intuitive and difficult-to-use configuration in the diagnosis process;
(5) the invention solves the problem that a user cannot visually backtrack the diagnosis process through the diagnosis result by providing the graphical diagnosis process record.
Drawings
Other features, objects and advantages of the invention will become more apparent upon reading of the detailed description of non-limiting embodiments with reference to the following drawings:
FIG. 1 is a flow chart of a parallel diagnostic analysis of the present invention;
FIG. 2 is a flow chart of the method of the present invention.
Detailed Description
The present invention will be described in detail with reference to specific examples. The following examples will assist those skilled in the art in further understanding the invention, but are not intended to limit the invention in any way. It should be noted that it would be obvious to those skilled in the art that various changes and modifications can be made without departing from the spirit of the invention. All falling within the scope of the present invention.
Example (b):
the invention provides a diagnosis and analysis method and a diagnosis and analysis system which are based on the industrial Internet of things and accord with human thinking logic, and the diagnosis and analysis method and the diagnosis and analysis system are used for backtracking the reason of the occurrence of problems, predicting the problems to be occurred, or diagnosing and analyzing the operation condition of the whole production, so as to assist a user to complete the related decision, as shown in figure 2, the specific process comprises the following steps:
step 1: configuring diagnostic analyses
The user configures the diagnostic analysis process through a graphical diagnostic analysis tool provided by the system, the configuration sample referring to fig. 1. In a diagnostic analysis tool, the following types of diagnostic analysis nodes are provided:
(1) starting, including manual starting or timing starting, wherein the diagnosis configured to be manually started needs manual triggering by a user, and the diagnosis configured to be periodically started can be automatically triggered according to a time interval set by the user;
(2) the gateway comprises two gateways, wherein one gateway represents a conditional branch and represents that different diagnostic branches are executed according to different condition variables; one represents divergence, which means executing multiple branches simultaneously, and aggregation, which means waiting for all diverged branches to complete;
(3) the tasks include three types, namely an expression task, a service task and a manual task. The expression task is used for executing a logic expression specified by a user, and aggregation operation, four-rule operation, logic operation, time judgment and the like can be executed on the industrial Internet of things data in the expression; the service tasks are used for executing server events, and comprise text splicing, Internet of things index association, message reminding, work order generation, camera snapshot triggering and the like; the manual task is used for sending a manual confirmation instruction to a specified user, a shift, a post and an organization;
(4) end, which represents the end of the diagnosis.
Step 2: manually or periodically performing diagnostics
When the user manually executes or the system automatically triggers the diagnosis process:
(1) reading and analyzing the diagnostic process configuration;
(2) sequentially (or in parallel) executing the diagnosis nodes according to the configured diagnosis sequence;
(3) when a node of a manual task type is encountered, the execution is suspended, and the operation is continued after the manual input is confirmed;
(3) recording logs and data in the execution process for post analysis;
(4) and recording the diagnosis result.
And step 3: pushing diagnostic results to a user
And pushing the diagnosis result to the user in the form of system message, short message or report document and the like according to the requirement.
And 4, step 4: the user adjusts and optimizes the diagnosis process according to the actual situation
The user can adjust and optimize the diagnosis process according to the comparison of the actual situation and the diagnosis result, so that the whole process is more and more accurate along with the time.
Specifically, in the data processing process, the acquired parameters are analyzed and processed based on PASS service provided by an internet platform, service innovation is performed on the application, and finally efficiency analysis, report board watching, fault diagnosis, prediction maintenance, process improvement, remote operation and maintenance and the like are completed. The PASS service comprises an internet of things service, a storage service, a calculation service and a big data service, data acquisition is carried out through an edge calculation gateway and an edge calculation base number, and the PASS service accessed into the edge calculation gateway is provided through a platform layer. The method comprises the steps of calculating comprehensive use efficiency and return on investment based on SaaS application of an industrial internet platform, predicting future failure occurrence probability according to historical data and an artificial intelligence model, preparing spare parts in advance and reducing unplanned downtime.
Creating a digital space on an Internet of things cloud platform by utilizing a virtual twin of a digital twin technology, constructing a set of virtual entities representing industrial production equipment in an Internet of things industrial workshop in the processes of design, research, development, work and iteration in the digital space, then performing predictive modeling and predictive twin operation behaviors of the virtual entities in the digital space by utilizing a predictive twin of the digital twin technology, and secondly, providing insight for the operation of industrial production equipment by using twin projection of a digital twin technology, projecting the insight to a virtual entity through an Internet of things cloud platform to realize data interaction between the virtual entity and an Internet of things industrial workshop, and finally completing the detection of the industrial production equipment, raw materials, personnel and quality and the intelligent monitoring of production before and after sale on the production line of the Internet of things industrial workshop through data mining, machine learning technology and AI algorithm analysis.
The virtual entities for representing the industrial production equipment are constructed in the digital space and connected through a large number of protocols or connection methods, the virtual entities for representing the industrial production equipment also need to use a strong semantic model, a normal operation range is set for the attributes of the virtual entities, and business rules define a complex event processing engine in a declarative manner so as to automatically realize instantiation at the edge of the Internet of things.
The invention provides a diagnostic and analytical system based on an industrial Internet of things, which comprises: module M1: configuring a diagnosis and analysis process through a graphical diagnosis and analysis tool; module M2: setting a mechanism for triggering diagnosis and analysis, and obtaining a diagnosis and analysis result after the diagnosis and analysis; module M3: pushing the diagnosis and analysis result to a user; module M4: and adjusting and optimizing the diagnosis and analysis process according to the user requirements and the actual conditions.
Configuring a gateway node in a diagnostic analysis process, wherein the type of the gateway comprises the following steps: and (3) conditional branching: executing different diagnosis branches according to different condition variables; divergence and polymerization: divergent means multiple branches are executed simultaneously, and aggregate means wait for all divergent branches to execute to complete. Configuring task nodes in a diagnostic analysis process, wherein the types of the tasks comprise: and (3) expression tasks: the system comprises a data processing module, a data processing module and a data processing module, wherein the data processing module is used for executing a logic expression specified by a user, and performing aggregation operation, four arithmetic operations, logic operation and time judgment on industrial Internet of things data in the expression; and (3) service tasks: the system is used for executing server events, including text splicing, Internet of things index association, message reminding, work order generation and camera snapshot triggering; manual tasks: and the system is used for sending manual confirmation instructions to specified users, shifts, posts and organizations. The trigger mechanisms for diagnostic analysis include: and manually or regularly executing diagnosis, reading and analyzing the configuration of the diagnosis process after a diagnosis analysis mechanism is triggered, sequentially or parallelly executing diagnosis nodes according to the configured diagnosis sequence, suspending execution when the nodes meet the manual task type, continuing after the manual input is confirmed, recording logs and data in the execution process for post analysis, and recording a diagnosis result. And pushing the diagnosis and analysis result to a user in a form of system information, short messages and report documents, comparing the actual condition with the diagnosis and analysis result, and adjusting and optimizing the diagnosis and analysis process.
Those skilled in the art will appreciate that, in addition to implementing the systems, apparatus, and various modules thereof provided by the present invention in purely computer readable program code, the same procedures can be implemented entirely by logically programming method steps such that the systems, apparatus, and various modules thereof are provided in the form of logic gates, switches, application specific integrated circuits, programmable logic controllers, embedded microcontrollers and the like. Therefore, the system, the device and the modules thereof provided by the present invention can be considered as a hardware component, and the modules included in the system, the device and the modules thereof for implementing various programs can also be considered as structures in the hardware component; modules for performing various functions may also be considered to be both software programs for performing the methods and structures within hardware components.
The foregoing description of specific embodiments of the present invention has been presented. It is to be understood that the present invention is not limited to the specific embodiments described above, and that various changes or modifications may be made by one skilled in the art within the scope of the appended claims without departing from the spirit of the invention. The embodiments and features of the embodiments of the present application may be combined with each other arbitrarily without conflict.

Claims (10)

1. A diagnostic analysis method based on an industrial Internet of things is characterized by comprising the following steps:
step 1: configuring a diagnosis and analysis process through a graphical diagnosis and analysis tool;
step 2: setting a mechanism for triggering diagnosis and analysis, and obtaining a diagnosis and analysis result after the diagnosis and analysis;
and step 3: pushing the diagnosis and analysis result to a user;
and 4, step 4: and adjusting and optimizing the diagnosis and analysis process according to the user requirements and the actual conditions.
2. The industrial internet of things-based diagnostic analysis method according to claim 1, wherein a gateway node is configured in a diagnostic analysis process, and the type of the gateway comprises:
and (3) conditional branching: executing different diagnosis branches according to different condition variables;
divergence and polymerization: divergent means multiple branches are executed simultaneously, and aggregate means wait for all divergent branches to execute to complete.
3. The industrial internet of things-based diagnostic analysis method according to claim 1, wherein task nodes are configured in a diagnostic analysis process, and the types of the tasks comprise:
and (3) expression tasks: the system comprises a data processing module, a data processing module and a data processing module, wherein the data processing module is used for executing a logic expression specified by a user, and performing aggregation operation, four arithmetic operations, logic operation and time judgment on industrial Internet of things data in the expression;
and (3) service tasks: the system is used for executing server events, including text splicing, Internet of things index association, message reminding, work order generation and camera snapshot triggering;
manual tasks: and the system is used for sending manual confirmation instructions to specified users, shifts, posts and organizations.
4. The industrial internet of things-based diagnostic analysis method according to claim 1, wherein the trigger mechanism of the diagnostic analysis comprises: and manually or regularly executing diagnosis, reading and analyzing the configuration of the diagnosis process after a diagnosis analysis mechanism is triggered, sequentially or parallelly executing diagnosis nodes according to the configured diagnosis sequence, suspending execution when the nodes meet the manual task type, continuing after the manual input is confirmed, recording logs and data in the execution process for post analysis, and recording a diagnosis result.
5. The industrial internet of things-based diagnostic analysis method according to claim 1, wherein the diagnostic analysis result is pushed to a user in a form of system message, short message and report document, and the actual situation and the diagnostic analysis result are compared to adjust and optimize the diagnostic analysis process.
6. A diagnostic analysis system based on the industrial Internet of things is characterized by comprising:
module M1: configuring a diagnosis and analysis process through a graphical diagnosis and analysis tool;
module M2: setting a mechanism for triggering diagnosis and analysis, and obtaining a diagnosis and analysis result after the diagnosis and analysis;
module M3: pushing the diagnosis and analysis result to a user;
module M4: and adjusting and optimizing the diagnosis and analysis process according to the user requirements and the actual conditions.
7. The industrial internet of things-based diagnostic analysis system of claim 6, wherein a gateway node is configured in a diagnostic analysis process, and the type of the gateway comprises:
and (3) conditional branching: executing different diagnosis branches according to different condition variables;
divergence and polymerization: divergent means multiple branches are executed simultaneously, and aggregate means wait for all divergent branches to execute to complete.
8. The industrial internet of things-based diagnostic analysis system according to claim 6, wherein task nodes are configured in a diagnostic analysis process, and the types of the tasks comprise:
and (3) expression tasks: the system comprises a data processing module, a data processing module and a data processing module, wherein the data processing module is used for executing a logic expression specified by a user, and performing aggregation operation, four arithmetic operations, logic operation and time judgment on industrial Internet of things data in the expression;
and (3) service tasks: the system is used for executing server events, including text splicing, Internet of things index association, message reminding, work order generation and camera snapshot triggering;
manual tasks: and the system is used for sending manual confirmation instructions to specified users, shifts, posts and organizations.
9. The industrial internet of things-based diagnostic analysis system of claim 6, wherein the trigger mechanism for diagnostic analysis comprises: and manually or regularly executing diagnosis, reading and analyzing the configuration of the diagnosis process after a diagnosis analysis mechanism is triggered, sequentially or parallelly executing diagnosis nodes according to the configured diagnosis sequence, suspending execution when the nodes meet the manual task type, continuing after the manual input is confirmed, recording logs and data in the execution process for post analysis, and recording a diagnosis result.
10. The industrial internet of things-based diagnostic analysis system according to claim 6, wherein the diagnostic analysis results are pushed to the user in a form including system messages, short messages and report documents, and the actual conditions and the diagnostic analysis results are compared to adjust and optimize the diagnostic analysis process.
CN202111407283.8A 2021-11-24 2021-11-24 Diagnostic analysis method and system based on industrial Internet of things Pending CN114169712A (en)

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