CN114417805A - Safety data analysis method and server based on automation plant - Google Patents
Safety data analysis method and server based on automation plant Download PDFInfo
- Publication number
- CN114417805A CN114417805A CN202111653138.8A CN202111653138A CN114417805A CN 114417805 A CN114417805 A CN 114417805A CN 202111653138 A CN202111653138 A CN 202111653138A CN 114417805 A CN114417805 A CN 114417805A
- Authority
- CN
- China
- Prior art keywords
- factory
- processed
- safety report
- abnormal operation
- report
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/10—Text processing
- G06F40/166—Editing, e.g. inserting or deleting
- G06F40/186—Templates
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0635—Risk analysis of enterprise or organisation activities
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Theoretical Computer Science (AREA)
- Strategic Management (AREA)
- Entrepreneurship & Innovation (AREA)
- Economics (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Development Economics (AREA)
- Game Theory and Decision Science (AREA)
- General Health & Medical Sciences (AREA)
- Health & Medical Sciences (AREA)
- Computational Linguistics (AREA)
- Educational Administration (AREA)
- Audiology, Speech & Language Pathology (AREA)
- General Engineering & Computer Science (AREA)
- Artificial Intelligence (AREA)
- Marketing (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Tourism & Hospitality (AREA)
- General Business, Economics & Management (AREA)
- General Factory Administration (AREA)
Abstract
The application relates to a safety data analysis method and a server based on an automatic factory, wherein a factory safety report is adjusted by loading a historical factory safety report prestored in a factory safety report record to an automatic production model to obtain a neighbor factory safety report; and optimizing a historical factory safety report through the neighbor factory safety report to update the factory safety report record, so that the updating timeliness of the factory safety report record is improved on the basis of considering accuracy in the process of updating the factory safety report record, and the utilization rate of the factory safety report can be improved as far as possible through the comprehensive historical factory safety report.
Description
Technical Field
The present application relates to the field of automation plants and security data analysis technologies, and in particular, to a security data analysis method and a server based on an automation plant.
Background
With the continuous progress of new generation information technology, the automation plant has also been developed to a certain extent. However, in practical application, how to improve the update timeliness of the factory floor security report record and improve the utilization rate of the factory floor security report as much as possible is a technical problem that needs to be further improved at present.
Disclosure of Invention
In order to solve the technical problems in the related art, the application provides a safety data analysis method and a server based on an automatic factory.
The application provides a safety data analysis method based on an automatic factory, which is applied to an automatic safety data analysis server and comprises the following steps:
determining whether a factory safety report record contains a historical factory safety report of the abnormal operation condition of the first to-be-processed factory equipment;
on the basis that the factory safety report records contain historical factory safety reports of the abnormal operation conditions of the first to-be-processed factory equipment, loading the historical factory safety reports of the abnormal operation conditions of the first to-be-processed factory equipment, which are prestored in the factory safety report records, to an automatic production model for factory safety report adjustment, and obtaining neighbor factory safety reports of the abnormal operation conditions of the first to-be-processed factory equipment;
optimizing a historical factory safety report of the first to-be-processed factory equipment under the abnormal operation condition through the neighbor factory safety report of the first to-be-processed factory equipment under the abnormal operation condition so as to update the factory safety report record;
the automatic production model is trained in advance according to historical factory floor safety reports of a plurality of second to-be-processed factory equipment running abnormal conditions and factory floor safety reports with incidence relations, in the training process of the automatic production model, the historical factory floor safety reports of the plurality of second to-be-processed factory equipment running abnormal conditions are used as input, the factory floor safety reports with incidence relations of the plurality of second to-be-processed factory equipment running abnormal conditions are used as templates of the automatic production model, and the model weight of the automatic production model is updated until the model weight accords with preset training indexes.
In some optional embodiments, after obtaining the neighbor factory floor security report of the abnormal operation condition of the first to-be-processed factory device, the method further includes:
inputting the abnormal operation condition of the first to-be-processed factory equipment into a trained first factory safety report identification unit to identify a factory safety report, and obtaining a factory safety report of the first to-be-processed factory equipment with an incidence relation in the abnormal operation condition;
and optimizing the neighbor factory safety report of the first factory equipment to be processed under the abnormal operation condition through the factory safety report of the first factory equipment to be processed under the abnormal operation condition with the incidence relation so as to update the factory safety report record, wherein the factory safety report record is updated by adopting the currently obtained factory safety report of the first factory equipment to be processed under the abnormal operation condition.
In some optional embodiments, the inputting the abnormal operation condition of the first to-be-processed factory device into a trained first factory floor security report recognition unit for factory floor security report recognition to obtain a factory floor security report of the first to-be-processed factory device having an association relationship in the abnormal operation condition includes:
and on the basis that the automatic safety data analysis server is in a target state, inputting the abnormal operation condition of the first to-be-processed factory equipment into a trained first factory safety report recognition unit to perform factory safety report recognition, and obtaining a factory safety report of the first to-be-processed factory equipment with an incidence relation in the abnormal operation condition.
In some optional embodiments, the automatic production model includes a first functional unit and a second functional unit, where loading a historical factory floor security report of the first to-be-processed factory device running abnormal condition, which is pre-stored in the factory floor security report record, to the automatic production model for factory floor security report adjustment, and obtaining a neighbor factory floor security report of the first to-be-processed factory device running abnormal condition, includes:
inputting a historical factory safety report of the first to-be-processed factory equipment abnormal operation condition pre-stored in the factory safety report record into the first functional unit to restore the factory safety report, so as to obtain an intermediate factory safety report of the first to-be-processed factory equipment abnormal operation condition;
and inputting the intermediate factory safety report of the abnormal operation condition of the first to-be-processed factory equipment into the second functional unit to perform factory safety report identification, and obtaining a neighbor factory safety report of the abnormal operation condition of the first to-be-processed factory equipment.
In some optional embodiments, the automatic production model includes a first functional unit and a third functional unit, where loading a historical factory floor security report of the first to-be-processed factory device running abnormal condition, which is pre-stored in the factory floor security report record, to the automatic production model for factory floor security report adjustment, and obtaining a neighbor factory floor security report of the first to-be-processed factory device running abnormal condition, includes:
inputting a historical factory safety report of the first to-be-processed factory equipment abnormal operation condition pre-stored in the factory safety report record into the first functional unit to restore the factory safety report, so as to obtain an intermediate factory safety report of the first to-be-processed factory equipment abnormal operation condition;
splicing the first factory equipment to be processed in abnormal operation condition and the intermediate factory safety report of the first factory equipment to be processed in abnormal operation condition to obtain a spliced factory safety report of the first factory equipment to be processed in abnormal operation condition;
and inputting the spliced factory safety report of the abnormal operation condition of the first to-be-processed factory equipment into the third functional unit to identify the factory safety report, and obtaining a neighbor factory safety report of the abnormal operation condition of the first to-be-processed factory equipment.
The application also provides an automatic safety data analysis server, which comprises a memory, a processor and a network module; wherein the memory, the processor, and the network module are electrically connected directly or indirectly; the processor reads the computer program from the memory and runs the computer program to realize the method.
The present application also provides a computer-readable storage medium having stored thereon a computer program which, when run, implements the above-described method.
The technical scheme provided by the embodiment of the application can have the following beneficial effects.
In the embodiment of the application, a historical factory floor safety report prestored in a factory floor safety report record is loaded to an automatic production model to adjust the factory floor safety report, so that a neighbor factory floor safety report is obtained; and optimizing a historical factory safety report through the neighbor factory safety report to update the factory safety report record, so that the updating timeliness of the factory safety report record is improved on the basis of considering accuracy in the process of updating the factory safety report record, and the utilization rate of the factory safety report can be improved as far as possible through the comprehensive historical factory safety report.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and together with the description, serve to explain the principles of the application.
FIG. 1 is a flow chart of a safety data analysis method based on an automation plant according to an embodiment of the present application.
Fig. 2 is a hardware structural diagram of an automated secure data analysis server according to an embodiment of the present application.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present application, as detailed in the appended claims.
Referring to fig. 1, an embodiment of the present application provides a flowchart of a safety data analysis method based on an automation plant, which is applied to an automation safety data analysis server.
Step 100, determining whether the factory floor safety report records contain historical factory floor safety reports of abnormal operation conditions of the first to-be-processed factory equipment.
200, on the basis that the factory safety report records contain the historical factory safety reports of the abnormal operation conditions of the first to-be-processed factory equipment, loading the historical factory safety reports of the abnormal operation conditions of the first to-be-processed factory equipment, which are prestored in the factory safety report records, to an automatic production model for adjusting the factory safety reports to obtain the neighbor factory safety reports of the abnormal operation conditions of the first to-be-processed factory equipment.
Step 300, optimizing a historical factory floor safety report of the first to-be-processed factory equipment under the abnormal operation condition through the neighbor factory floor safety report of the first to-be-processed factory equipment under the abnormal operation condition so as to update the factory floor safety report record.
In the embodiment of the application, the automated production model is trained in advance according to the historical factory floor safety reports of the running abnormal conditions of the second to-be-processed factory devices and the factory floor safety reports with the incidence relations, in the training process of the automated production model, the historical factory floor safety reports of the running abnormal conditions of the second to-be-processed factory devices are used as input, the factory floor safety reports with the incidence relations of the running abnormal conditions of the second to-be-processed factory devices are used as the templates of the automated production model, and the model weight of the automated production model is updated until the model weight accords with the preset training indexes.
For some optional design considerations, after obtaining the neighbor factory floor security report of the abnormal operation condition of the first plant to be processed, the method further includes: inputting the abnormal operation condition of the first to-be-processed factory equipment into a trained first factory safety report identification unit to identify a factory safety report, and obtaining a factory safety report of the first to-be-processed factory equipment with an incidence relation in the abnormal operation condition; and optimizing the neighbor factory safety report of the first factory equipment to be processed under the abnormal operation condition through the factory safety report of the first factory equipment to be processed under the abnormal operation condition with the incidence relation so as to update the factory safety report record, wherein the factory safety report record is updated by adopting the currently obtained factory safety report of the first factory equipment to be processed under the abnormal operation condition.
For some optional design ideas, the inputting the abnormal operation condition of the first to-be-processed factory device into a trained first factory floor security report recognition unit for factory floor security report recognition to obtain a factory floor security report of the abnormal operation condition of the first to-be-processed factory device with an association relationship includes: and on the basis that the automatic safety data analysis server is in a target state, inputting the abnormal operation condition of the first to-be-processed factory equipment into a trained first factory safety report recognition unit to perform factory safety report recognition, and obtaining a factory safety report of the first to-be-processed factory equipment with an incidence relation in the abnormal operation condition.
For some optional design considerations, the automatic production model includes a first functional unit and a second functional unit, where the historical factory floor security report of the first to-be-processed factory device running abnormal condition, which is pre-stored in the factory floor security report record, is loaded to the automatic production model for factory floor security report adjustment, so as to obtain a neighbor factory floor security report of the first to-be-processed factory device running abnormal condition, where the method includes: inputting a historical factory safety report of the first to-be-processed factory equipment abnormal operation condition pre-stored in the factory safety report record into the first functional unit to restore the factory safety report, so as to obtain an intermediate factory safety report of the first to-be-processed factory equipment abnormal operation condition; and inputting the intermediate factory safety report of the abnormal operation condition of the first to-be-processed factory equipment into the second functional unit to perform factory safety report identification, and obtaining a neighbor factory safety report of the abnormal operation condition of the first to-be-processed factory equipment.
For some optional design considerations, the automatic production model includes a first functional unit and a third functional unit, where the historical factory floor security report of the first to-be-processed factory device running abnormal condition, which is pre-stored in the factory floor security report record, is loaded to the automatic production model for factory floor security report adjustment, so as to obtain a neighbor factory floor security report of the first to-be-processed factory device running abnormal condition, where the method includes: inputting a historical factory safety report of the first to-be-processed factory equipment abnormal operation condition pre-stored in the factory safety report record into the first functional unit to restore the factory safety report, so as to obtain an intermediate factory safety report of the first to-be-processed factory equipment abnormal operation condition; splicing the first factory equipment to be processed in abnormal operation condition and the intermediate factory safety report of the first factory equipment to be processed in abnormal operation condition to obtain a spliced factory safety report of the first factory equipment to be processed in abnormal operation condition; and inputting the spliced factory safety report of the abnormal operation condition of the first to-be-processed factory equipment into the third functional unit to identify the factory safety report, and obtaining a neighbor factory safety report of the abnormal operation condition of the first to-be-processed factory equipment.
In summary, when the method is applied to the embodiment of the application, the factory safety report adjustment is performed by loading the historical factory safety report prestored in the factory safety report record to the automatic production model, so as to obtain the neighbor factory safety report; the historical factory safety report is optimized through the neighbor factory safety report to update the factory safety report record, so that the updating timeliness of the factory safety report record is improved on the basis of considering accuracy in the process of updating the factory safety report record, and the utilization rate of the factory safety report can be improved as much as possible through the comprehensive historical factory safety report
At the beginning, please refer to fig. 2 in combination, the present application further provides a hardware structure diagram of an automation security data analysis server 20, which specifically includes a memory 210, a processor 220, a network module 230, and a security data analysis device based on an automation plant. The memory 210, the processor 220, and the network module 230 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 memory 210 stores therein an automation plant-based security data analysis apparatus including at least one software function module that can be stored in the memory 210 in the form of software or firmware (firmware), and the processor 220 executes software programs and modules stored in the memory 210.
The Memory 210 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 210 is used for storing a program, and the processor 220 executes the program after receiving an execution instruction.
The processor 220 may be an integrated circuit chip having data processing capabilities. The Processor 220 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 230 is used for establishing a communication connection between the automation security data analysis server 20 and other communication terminal devices through a network, so as to implement transceiving operation of network signals and data. The network signal may include a wireless signal or a wired signal.
Further, a readable storage medium is provided, on which a program is stored, which when executed by a processor implements the method described above.
It will be understood that the present application is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the application is limited only by the appended claims.
It is well known to those skilled in the art that with the development of electronic information technology such as large scale integrated circuit technology and the trend of software hardware, it has been difficult to clearly divide the software and hardware boundaries of a computer system. As any of the operations may be implemented in software or hardware. Execution of any of the instructions may be performed by hardware, as well as by software. Whether a hardware implementation or a software implementation is employed for a certain machine function depends on non-technical factors such as price, speed, reliability, storage capacity, change period, and the like. Accordingly, it will be apparent to those skilled in the art of electronic information technology that a more direct and clear description of one embodiment is provided by describing the various operations within the embodiment. Knowing the operations to be performed, the skilled person can directly design the target product based on the consideration of said non-technical factors.
The present application may be a system, method and/or computer program product. The computer program product may include a computer-readable storage medium having computer-readable program instructions embodied thereon for causing a processor to implement various aspects of the present application.
The computer readable storage medium may be a tangible device that can hold and store the instructions for use by the instruction execution device. The computer readable storage medium may be, for example, but not limited to, an electronic memory device, a magnetic memory device, an optical memory device, an electromagnetic memory device, a semiconductor memory device, or any suitable combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a Static Random Access Memory (SRAM), a portable compact disc read-only memory (CD-ROM), a Digital Versatile Disc (DVD), a memory stick, a floppy disk, a mechanical coding device, such as punch cards or in-groove projection structures having instructions stored thereon, and any suitable combination of the foregoing. Computer-readable storage media as used herein is not to be construed as transitory signals per se, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through a waveguide or other transmission medium (e.g., optical pulses through a fiber optic cable), or electrical signals transmitted through electrical wires.
The computer-readable program instructions described herein may be downloaded from a computer-readable storage medium to a respective computing/processing device, or to an external computer or external storage device via a network, such as the internet, a local area network, a wide area network, and/or a wireless network. The network may include copper transmission cables, fiber optic transmission, wireless transmission, routers, firewalls, switches, gateway computers and/or edge servers. The network adapter card or network interface in each computing/processing device receives computer-readable program instructions from the network and forwards the computer-readable program instructions for storage in a computer-readable storage medium in the respective computing/processing device.
The computer program instructions for carrying out operations of the present application may be assembler instructions, Instruction Set Architecture (ISA) instructions, machine-related instructions, microcode, firmware instructions, state setting data, or source code or object code written in any combination of one or more programming languages, including an object oriented programming language such as Smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The computer-readable program instructions may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider). In some embodiments, the electronic circuitry can execute computer-readable program instructions to implement aspects of the present application by utilizing state information of the computer-readable program instructions to personalize the electronic circuitry, such as a programmable logic circuit, a Field Programmable Gate Array (FPGA), or a Programmable Logic Array (PLA).
Various aspects of the present application are described herein 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 block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer-readable program instructions.
These computer-readable program instructions may be provided to a processor of a general purpose computer, special purpose computer, 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/acts specified in the flowchart and/or block diagram block or blocks. These computer-readable program instructions may also be stored in a computer-readable storage medium that can direct a computer, programmable data processing apparatus, and/or other devices to function in a particular manner, such that the computer-readable medium storing the instructions comprises an article of manufacture including instructions which implement the function/act specified in the flowchart and/or block diagram block or blocks.
The computer readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other devices to cause a series of operational steps to be performed on the computer, other programmable apparatus or other devices to produce a computer implemented process such that the instructions which execute on the computer, other programmable apparatus or other devices implement the functions/acts specified in the flowchart and/or block diagram block or blocks.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to several embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of instructions, which comprises one or more executable instructions for implementing the specified logical function(s). 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. It is well known to those skilled in the art that implementation by hardware, by software, and by a combination of software and hardware are equivalent.
Having described embodiments of the present application, the foregoing description is intended to be exemplary, not exhaustive, and not limited to the disclosed embodiments. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The terminology used herein is chosen in order to best explain the principles of the embodiments, the practical application, or improvements made to the technology in the marketplace, or to enable others of ordinary skill in the art to understand the embodiments disclosed herein. The scope of the application is defined by the appended claims.
Claims (7)
1. A safety data analysis method based on an automation factory is characterized by being applied to an automation safety data analysis server and comprising the following steps:
determining whether a factory safety report record contains a historical factory safety report of the abnormal operation condition of the first to-be-processed factory equipment;
on the basis that the factory safety report records contain historical factory safety reports of the abnormal operation conditions of the first to-be-processed factory equipment, loading the historical factory safety reports of the abnormal operation conditions of the first to-be-processed factory equipment, which are prestored in the factory safety report records, to an automatic production model for factory safety report adjustment, and obtaining neighbor factory safety reports of the abnormal operation conditions of the first to-be-processed factory equipment;
optimizing a historical factory safety report of the first to-be-processed factory equipment under the abnormal operation condition through the neighbor factory safety report of the first to-be-processed factory equipment under the abnormal operation condition so as to update the factory safety report record;
the automatic production model is trained in advance according to historical factory floor safety reports of a plurality of second to-be-processed factory equipment running abnormal conditions and factory floor safety reports with incidence relations, in the training process of the automatic production model, the historical factory floor safety reports of the plurality of second to-be-processed factory equipment running abnormal conditions are used as input, the factory floor safety reports with incidence relations of the plurality of second to-be-processed factory equipment running abnormal conditions are used as templates of the automatic production model, and the model weight of the automatic production model is updated until the model weight accords with preset training indexes.
2. The method according to claim 1, wherein after the obtaining of the neighbor factory floor safety report of the abnormal operation condition of the first plant to be processed, the method further comprises:
inputting the abnormal operation condition of the first to-be-processed factory equipment into a trained first factory safety report identification unit to identify a factory safety report, and obtaining a factory safety report of the first to-be-processed factory equipment with an incidence relation in the abnormal operation condition;
and optimizing the neighbor factory safety report of the first factory equipment to be processed under the abnormal operation condition through the factory safety report of the first factory equipment to be processed under the abnormal operation condition with the incidence relation so as to update the factory safety report record, wherein the factory safety report record is updated by adopting the currently obtained factory safety report of the first factory equipment to be processed under the abnormal operation condition.
3. The method according to claim 2, wherein the step of inputting the abnormal operation condition of the first to-be-processed factory device into a trained first factory floor security report recognition unit for factory floor security report recognition to obtain a factory floor security report of the abnormal operation condition of the first to-be-processed factory device with an association relationship includes:
and on the basis that the automatic safety data analysis server is in a target state, inputting the abnormal operation condition of the first to-be-processed factory equipment into a trained first factory safety report recognition unit to perform factory safety report recognition, and obtaining a factory safety report of the first to-be-processed factory equipment with an incidence relation in the abnormal operation condition.
4. The method according to any one of claims 1 to 3, wherein the automated production model comprises a first functional unit and a second functional unit, and wherein the step of loading the historical factory floor safety report of the first to-be-processed factory equipment abnormal operation condition pre-stored in the factory floor safety report record into the automated production model for factory floor safety report adjustment to obtain the neighbor factory floor safety report of the first to-be-processed factory equipment abnormal operation condition comprises the steps of:
inputting a historical factory safety report of the first to-be-processed factory equipment abnormal operation condition pre-stored in the factory safety report record into the first functional unit to restore the factory safety report, so as to obtain an intermediate factory safety report of the first to-be-processed factory equipment abnormal operation condition;
and inputting the intermediate factory safety report of the abnormal operation condition of the first to-be-processed factory equipment into the second functional unit to perform factory safety report identification, and obtaining a neighbor factory safety report of the abnormal operation condition of the first to-be-processed factory equipment.
5. The method according to any one of claims 1 to 3, wherein the automated production model comprises a first functional unit and a third functional unit, and wherein the step of loading the historical factory floor safety report of the first to-be-processed factory equipment abnormal operation condition pre-stored in the factory floor safety report record into the automated production model for factory floor safety report adjustment to obtain the neighbor factory floor safety report of the first to-be-processed factory equipment abnormal operation condition comprises the steps of:
inputting a historical factory safety report of the first to-be-processed factory equipment abnormal operation condition pre-stored in the factory safety report record into the first functional unit to restore the factory safety report, so as to obtain an intermediate factory safety report of the first to-be-processed factory equipment abnormal operation condition;
splicing the first factory equipment to be processed in abnormal operation condition and the intermediate factory safety report of the first factory equipment to be processed in abnormal operation condition to obtain a spliced factory safety report of the first factory equipment to be processed in abnormal operation condition;
and inputting the spliced factory safety report of the abnormal operation condition of the first to-be-processed factory equipment into the third functional unit to identify the factory safety report, and obtaining a neighbor factory safety report of the abnormal operation condition of the first to-be-processed factory equipment.
6. An automated secure data analytics server comprising a memory, a processor, and a network module; wherein the memory, the processor, and the network module are electrically connected directly or indirectly; the processor implements the method of any one of claims 1-5 by reading the computer program from the memory and running it.
7. A computer-readable storage medium, on which a computer program is stored which, when executed, implements the method of any of claims 1-5.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111653138.8A CN114417805A (en) | 2021-12-31 | 2021-12-31 | Safety data analysis method and server based on automation plant |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111653138.8A CN114417805A (en) | 2021-12-31 | 2021-12-31 | Safety data analysis method and server based on automation plant |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN114417805A true CN114417805A (en) | 2022-04-29 |
Family
ID=81269937
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111653138.8A Pending CN114417805A (en) | 2021-12-31 | 2021-12-31 | Safety data analysis method and server based on automation plant |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114417805A (en) |
-
2021
- 2021-12-31 CN CN202111653138.8A patent/CN114417805A/en active Pending
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN114066475A (en) | Information security protection method based on cloud payment and server | |
| CN114185318A (en) | Production line information processing method and system based on artificial intelligence | |
| CN114417805A (en) | Safety data analysis method and server based on automation plant | |
| CN114118484A (en) | Safety data analysis method and server based on automation plant | |
| CN114505861A (en) | Direction compensation method and system based on pneumatic clamping jaw control | |
| CN114415612A (en) | Intelligent production monitoring method based on artificial intelligence and server | |
| CN113724115A (en) | Data processing method and server based on online education | |
| CN114549097A (en) | Enterprise invoice system version management method and device, electronic equipment and storage medium | |
| CN114401310A (en) | Visual cloud service data optimization method and server | |
| CN114071066A (en) | Information processing method and server applied to big data video conference | |
| CN114167775B (en) | Real-time external control method and system based on robot | |
| CN113793058A (en) | Factory production line monitoring method and system | |
| CN114167731B (en) | Remote control method of sewage sampler and sewage treatment control system | |
| CN114398412A (en) | Information processing method and server applied to user analysis | |
| CN114399180A (en) | Data processing method and server based on machine tool production | |
| CN114418351A (en) | User demand identification method and service system based on automatic production | |
| CN114051042B (en) | Internet of things interface access authentication method and system based on RESTFUL service | |
| CN113780878A (en) | Building construction monitoring method and server | |
| CN114418352A (en) | Office equipment interaction information analysis method and server | |
| CN114323136A (en) | Production environment monitoring method and system based on Internet of things | |
| CN114418345A (en) | Big data based user analysis method and system | |
| CN114612060A (en) | Processing method, device and system applied to foaming box | |
| CN114418284A (en) | Construction behavior safety detection method and system based on intelligent construction site | |
| CN113990084A (en) | Big data analysis method and system applied to traffic management | |
| CN113762897A (en) | Information processing method and server based on intelligent logistics |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |