CN114884942A - Industrial equipment internet cloud management method and system - Google Patents
Industrial equipment internet cloud management method and system Download PDFInfo
- Publication number
- CN114884942A CN114884942A CN202210402461.6A CN202210402461A CN114884942A CN 114884942 A CN114884942 A CN 114884942A CN 202210402461 A CN202210402461 A CN 202210402461A CN 114884942 A CN114884942 A CN 114884942A
- Authority
- CN
- China
- Prior art keywords
- equipment
- data
- industrial
- abnormal
- state prediction
- 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
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
-
- 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
- G06Q10/20—Administration of product repair or maintenance
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/06—Protocols specially adapted for file transfer, e.g. file transfer protocol [FTP]
-
- 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
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Human Resources & Organizations (AREA)
- Operations Research (AREA)
- Entrepreneurship & Innovation (AREA)
- Marketing (AREA)
- Economics (AREA)
- Quality & Reliability (AREA)
- Strategic Management (AREA)
- Tourism & Hospitality (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Testing And Monitoring For Control Systems (AREA)
Abstract
The embodiment of the invention relates to the technical field of equipment management, and particularly discloses an industrial equipment internet cloud management method and system. The embodiment of the invention obtains the equipment operation data of a plurality of industrial equipment; performing instant calculation analysis, judging whether operation abnormity exists, and prompting abnormal operation when the operation abnormity exists; uploading the running data of the equipment to a cloud end, generating and analyzing historical data of the equipment, generating state prediction information of the equipment, and performing abnormity early warning according to the state prediction information of the equipment. The data transmission channel can be established with a plurality of industrial equipment, the equipment operation data is obtained, the judgment and prompt of abnormal operation are carried out immediately, the equipment operation data is uploaded to the cloud, the equipment state prediction and early warning are carried out by analyzing the historical data of the equipment, all industrial equipment in the production process of automobile parts can be managed and monitored in a unified mode, the equipment management cost is effectively reduced, and the equipment management efficiency is improved.
Description
Technical Field
The invention belongs to the technical field of equipment management, and particularly relates to an industrial equipment internet cloud management method and system.
Background
Industrial equipment refers to various devices and equipment used in industrial production, such as: production equipment, detection equipment and the like. In the industrial production process, especially in the production process of automobile parts, various industrial equipment is required to be used for production and detection, and due to the fact that the required industrial equipment is large in quantity and various, the equipment can only be used for monitoring and feedback of operation generally, unified management and monitoring of all industrial equipment in the production process are difficult to carry out, and the monitoring efficiency of the industrial equipment is low and the cost is high.
Disclosure of Invention
The embodiment of the invention aims to provide an industrial equipment internet cloud management method and system, and aims to solve the problems in the background technology.
In order to achieve the above purpose, the embodiments of the present invention provide the following technical solutions:
an industrial equipment internet cloud management method specifically comprises the following steps:
respectively establishing data transmission channels with a plurality of industrial devices, and acquiring device operation data of the industrial devices according to the data transmission channels;
performing real-time calculation analysis on the operation data of the plurality of devices to generate operation analysis information, judging whether operation abnormity exists according to the operation analysis information, and prompting abnormal operation when the operation abnormity exists;
uploading the plurality of equipment operation data to a cloud end to generate a plurality of equipment historical data, analyzing the plurality of equipment historical data to generate a plurality of equipment state prediction information, and performing abnormity early warning according to the plurality of equipment state prediction information.
As a further limitation of the technical solution of the embodiment of the present invention, the respectively establishing data transmission channels with a plurality of industrial devices, and acquiring device operation data of the plurality of industrial devices according to the plurality of data transmission channels specifically includes the following steps:
respectively establishing data transmission channels with a plurality of industrial devices;
sending a data transmission instruction to the industrial equipment according to the data transmission channels;
and acquiring equipment operation data sent by the industrial equipment according to the data transmission instruction.
As a further limitation of the technical solution of the embodiment of the present invention, the performing real-time calculation and analysis on the multiple pieces of equipment operation data to generate operation analysis information, determining whether an operation anomaly exists according to the operation analysis information, and performing an abnormal operation prompt when the operation anomaly exists specifically includes the following steps:
performing instant calculation analysis on the operation data of the equipment to generate a plurality of operation analysis information;
judging whether equipment operation abnormity exists or not according to the operation analysis information;
when equipment operation is abnormal, generating an abnormal operation prompt and sending the abnormal operation prompt to corresponding industrial equipment;
and when the equipment is not abnormally operated, the abnormal operation prompt is not generated.
As a further limitation of the technical solution of the embodiment of the present invention, the uploading the plurality of pieces of device operation data to a cloud end to generate a plurality of pieces of device history data, generating a plurality of pieces of device state prediction information by analyzing the plurality of pieces of device history data, and performing abnormality early warning according to the plurality of pieces of device state prediction information specifically includes the following steps:
uploading the plurality of equipment operation data to a cloud end to generate a plurality of equipment historical data;
generating a plurality of device state prediction information by analyzing a plurality of the device history data;
judging whether an abnormal trend exists or not according to the state prediction information of the equipment;
and when the abnormal trend exists, performing abnormal early warning on the corresponding industrial equipment.
The utility model provides an industrial equipment internet cloud management system, the system includes transmission channel and establishes unit, just-in-time running analysis unit and state prediction analysis unit, wherein:
the transmission channel establishing unit is used for respectively establishing data transmission channels with a plurality of industrial devices and acquiring device operation data of the industrial devices according to the data transmission channels;
the instant operation analysis unit is used for carrying out instant calculation analysis on the operation data of the equipment to generate operation analysis information, judging whether the operation is abnormal or not according to the operation analysis information, and carrying out abnormal operation prompt when the operation is abnormal;
the state prediction analysis unit is used for uploading the plurality of equipment operation data to a cloud end, generating a plurality of equipment historical data, analyzing the plurality of equipment historical data, generating a plurality of equipment state prediction information, and performing abnormity early warning according to the plurality of equipment state prediction information.
As a further limitation of the technical solution of the embodiment of the present invention, the transmission channel establishing unit specifically includes:
the transmission channel establishing module is used for respectively establishing data transmission channels with a plurality of industrial devices;
the transmission instruction sending module is used for sending data transmission instructions to the industrial equipment according to the data transmission channels;
and the operation data acquisition module is used for acquiring the equipment operation data sent by the industrial equipment according to the data transmission instruction.
As a further limitation of the technical solution of the embodiment of the present invention, the instant operation analysis unit specifically includes:
the instant calculation analysis module is used for carrying out instant calculation analysis on the operation data of the equipment to generate a plurality of operation analysis information;
the operation abnormity judgment module is used for judging whether equipment operation abnormity exists according to the operation analysis information;
and the abnormal operation processing module is used for generating an abnormal operation prompt when the equipment is abnormally operated, sending the abnormal operation prompt to the corresponding industrial equipment, and not generating the abnormal operation prompt when the equipment is abnormally operated.
As a further limitation of the technical solution of the embodiment of the present invention, the state prediction analysis unit specifically includes:
the operation data uploading module is used for uploading the operation data of the equipment to a cloud end to generate historical data of the equipment;
the historical data analysis module is used for generating a plurality of pieces of equipment state prediction information by analyzing a plurality of pieces of equipment historical data;
the abnormal trend judging module is used for judging whether an abnormal trend exists according to the state prediction information of the equipment;
and the equipment abnormity early warning module is used for carrying out abnormity early warning on corresponding industrial equipment when an abnormity trend exists.
Compared with the prior art, the invention has the beneficial effects that:
the embodiment of the invention obtains the equipment operation data of a plurality of industrial equipment; performing instant calculation analysis, judging whether operation abnormity exists, and prompting abnormal operation when the operation abnormity exists; uploading the running data of the equipment to a cloud end, generating and analyzing historical data of the equipment, generating state prediction information of the equipment, and performing abnormity early warning according to the state prediction information of the equipment. The data transmission channel can be established with a plurality of industrial equipment, the equipment operation data is obtained, the judgment and prompt of abnormal operation are carried out immediately, the equipment operation data is uploaded to the cloud, the equipment state prediction and early warning are carried out by analyzing the equipment historical data, all industrial equipment in the production process of automobile parts can be managed and monitored in a unified mode, the equipment management cost is effectively reduced, and the equipment management efficiency is improved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention.
Fig. 1 shows a flow chart of a method provided by an embodiment of the invention.
Fig. 2 is a flowchart illustrating obtaining device operation data in a method provided by an embodiment of the present invention.
Fig. 3 is a flowchart illustrating an immediate determination of abnormal operation of a device in the method according to the embodiment of the present invention.
Fig. 4 shows a flowchart of early warning of data upload abnormality in the method provided by the embodiment of the present invention.
Fig. 5 is a diagram illustrating an application architecture of a system provided by an embodiment of the invention.
Fig. 6 shows a block diagram of a transmission channel establishing unit in the system according to the embodiment of the present invention.
Fig. 7 shows a block diagram of a configuration of an instant operation analysis unit in the system according to the embodiment of the present invention.
Fig. 8 shows a block diagram of a state prediction analysis unit in the system according to the embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
It can be understood that, in the production process of the automobile parts, the monitoring and feedback of the operation can be usually performed only by using the equipment itself, and because the required industrial equipment is large in quantity and various, it is difficult to perform unified management and monitoring on all the industrial equipment in the production process, which results in low monitoring efficiency and high cost of the industrial equipment.
In order to solve the above problem, in the embodiments of the present invention, device operation data of a plurality of industrial devices is obtained; performing instant calculation analysis, judging whether operation abnormity exists, and prompting abnormal operation when the operation abnormity exists; uploading the running data of the equipment to a cloud end, generating and analyzing historical data of the equipment, generating state prediction information of the equipment, and performing abnormity early warning according to the state prediction information of the equipment. The data transmission channel can be established with a plurality of industrial equipment, the equipment operation data is obtained, the judgment and prompt of abnormal operation are carried out immediately, the equipment operation data is uploaded to the cloud, the equipment state prediction and early warning are carried out by analyzing the equipment historical data, all industrial equipment in the production process of automobile parts can be managed and monitored in a unified mode, the equipment management cost is effectively reduced, and the equipment management efficiency is improved.
Fig. 1 shows a flow chart of a method provided by an embodiment of the invention.
Specifically, the method for the internet cloud management of the industrial equipment specifically comprises the following steps:
step S101, respectively establishing data transmission channels with a plurality of industrial devices, and acquiring device operation data of the industrial devices according to the data transmission channels.
In the embodiment of the invention, each industrial device is butted, a data transmission channel is established with all industrial devices in the production process of the automobile parts, data transmission instructions are respectively sent to the industrial devices through the data transmission channels, and further, when the industrial devices transmit data according to the data transmission instructions, device operation data sent by the industrial devices through the data transmission channels are received.
Specifically, fig. 2 shows a flowchart for acquiring device operation data in the method provided by the embodiment of the present invention.
In a preferred embodiment provided by the present invention, the respectively establishing data transmission channels with a plurality of industrial devices, and acquiring device operation data of the plurality of industrial devices according to the plurality of data transmission channels specifically includes the following steps:
in step S1011, data transmission channels with a plurality of industrial devices are respectively established.
Step S1012, sending a data transmission command to the plurality of industrial devices according to the plurality of data transmission channels.
And step S1013, acquiring device operation data sent by the industrial devices according to the data transmission instruction.
Further, the industrial equipment internet cloud management method further comprises the following steps:
step S102, performing real-time calculation and analysis on the operation data of the plurality of devices to generate operation analysis information, judging whether operation abnormity exists according to the operation analysis information, and prompting abnormal operation when the operation abnormity exists.
In the embodiment of the invention, the received running data of a plurality of devices is subjected to real-time calculation and analysis to obtain running analysis information corresponding to the plurality of industrial devices, whether the plurality of industrial devices have abnormal running is judged through the running analysis information respectively, when the abnormal running of the devices exists, the corresponding abnormal devices are determined, an abnormal running prompt is generated and transmitted to the abnormal devices through a data transmission channel, and after the abnormal devices receive the abnormal running prompt, the corresponding abnormal running prompt is carried out according to the abnormal running prompt, and when the abnormal running of the devices does not exist, the abnormal running prompt is not generated.
Specifically, fig. 3 shows a flowchart of the instant judgment of abnormal operation of the device in the method provided by the embodiment of the present invention.
In a preferred embodiment of the present invention, the performing real-time computation and analysis on the multiple pieces of device operation data to generate operation analysis information, determining whether an operation anomaly exists according to the operation analysis information, and performing an abnormal operation prompt when the operation anomaly exists specifically includes the following steps:
and step S1021, performing instant calculation and analysis on the plurality of equipment operation data to generate a plurality of operation analysis information.
Step S1022, determining whether there is an abnormal device operation according to the plurality of operation analysis information.
And S1023, when the equipment is abnormally operated, generating an abnormal operation prompt and sending the abnormal operation prompt to the corresponding industrial equipment.
And step S1024, when the equipment operation is not abnormal, generating no abnormal operation prompt.
Further, the industrial equipment internet cloud management method further comprises the following steps:
step S103, uploading the plurality of equipment operation data to a cloud end, generating a plurality of equipment historical data, analyzing the plurality of equipment historical data, generating a plurality of equipment state prediction information, and performing abnormity early warning according to the plurality of equipment state prediction information.
In the embodiment of the invention, the equipment operation data is uploaded to the cloud end in real time, the equipment operation data corresponding to each industrial equipment is respectively stored to obtain the equipment historical data related to each industrial equipment, the historical data of a plurality of pieces of equipment are analyzed to obtain the equipment state prediction information related to the plurality of pieces of industrial equipment, the equipment abnormal trend judgment is carried out according to the equipment state prediction information, when the equipment abnormal trend exists, the related industrial equipment is determined, the abnormal early warning signal is generated and transmitted to the related industrial equipment through the data transmission channel, and the related industrial equipment can carry out corresponding abnormal early warning reminding according to the abnormal early warning signal.
Specifically, fig. 4 shows a flowchart of early warning of data upload abnormality in the method provided by the embodiment of the present invention.
In a preferred embodiment of the present invention, the uploading the multiple pieces of device operation data to a cloud end to generate multiple pieces of device history data, generating multiple pieces of device status prediction information by analyzing the multiple pieces of device history data, and performing the abnormality early warning according to the multiple pieces of device status prediction information specifically includes the following steps:
and step S1031, uploading the plurality of equipment operation data to a cloud end, and generating a plurality of equipment history data.
Step S1032 generates a plurality of pieces of device state prediction information by analyzing a plurality of pieces of the device history data.
Step S1033, determining whether there is an abnormal trend according to the plurality of pieces of device state prediction information.
And S1034, when the abnormal trend exists, performing abnormal early warning on the corresponding industrial equipment.
Further, fig. 5 is a diagram illustrating an application architecture of the system according to the embodiment of the present invention.
In another preferred embodiment, the present invention provides an internet cloud management system for industrial equipment, including:
the transmission channel establishing unit 101 is configured to respectively establish data transmission channels with a plurality of industrial devices, and obtain device operation data of the plurality of industrial devices according to the plurality of data transmission channels.
In the embodiment of the present invention, the transmission channel establishing unit 101 establishes data transmission channels with all industrial devices in the production process of the automobile component by docking each industrial device, and respectively sends data transmission instructions to the plurality of industrial devices through the plurality of data transmission channels, and further, when the plurality of industrial devices perform data transmission according to the data transmission instructions, the transmission channel establishing unit 101 receives device operation data sent by the plurality of industrial devices through the plurality of data transmission channels.
Specifically, fig. 6 shows a block diagram of a transmission channel establishing unit 101 in the system according to the embodiment of the present invention.
In an embodiment of the present invention, the transmission channel establishing unit 101 specifically includes:
a transmission channel establishing module 1011, configured to establish data transmission channels with multiple industrial devices respectively.
A transmission instruction sending module 1012, configured to send a data transmission instruction to the plurality of industrial devices according to the plurality of data transmission channels.
And the operation data acquiring module 1013 is configured to acquire device operation data sent by the plurality of industrial devices according to the data transmission instruction.
Further, the industrial equipment internet cloud management system further comprises:
the real-time operation analysis unit 102 is configured to perform real-time calculation analysis on the multiple pieces of equipment operation data, generate operation analysis information, determine whether an operation anomaly exists according to the operation analysis information, and prompt an abnormal operation when the operation anomaly exists.
In the embodiment of the present invention, for a plurality of received device operation data, the instant operation analysis unit 102 performs instant calculation analysis to obtain operation analysis information corresponding to a plurality of industrial devices, and determines whether the plurality of industrial devices have device operation abnormality according to the plurality of operation analysis information, when the device operation abnormality exists, determines a corresponding abnormal device, generates an abnormal operation prompt, and transmits the abnormal operation prompt to the abnormal device through a data transmission channel, the abnormal device performs a corresponding abnormal prompt according to the abnormal operation prompt after receiving the abnormal operation prompt, and when the device operation abnormality does not exist, the instant operation analysis unit 102 does not generate the abnormal operation prompt.
Specifically, fig. 7 shows a block diagram of the configuration of the immediate operation analysis unit 102 in the system according to the embodiment of the present invention.
In a preferred embodiment provided by the present invention, the instant operation analysis unit 102 specifically includes:
and an instant calculation and analysis module 1021, configured to perform instant calculation and analysis on the multiple pieces of device operation data, and generate multiple pieces of operation and analysis information.
The abnormal operation determining module 1022 is configured to determine whether there is an abnormal operation of the device according to a plurality of operation analysis information.
And the abnormal operation processing module 1023 is used for generating an abnormal operation prompt when the equipment is abnormally operated, sending the abnormal operation prompt to the corresponding industrial equipment, and not generating the abnormal operation prompt when the equipment is abnormally operated.
Further, the industrial equipment internet cloud management system further comprises:
the state prediction analysis unit 103 is configured to upload the multiple pieces of device operation data to a cloud, generate multiple pieces of device history data, analyze the multiple pieces of device history data, generate multiple pieces of device state prediction information, and perform abnormality early warning according to the multiple pieces of device state prediction information.
In the embodiment of the present invention, the state prediction analysis unit 103 uploads the device operation data to the cloud in real time, respectively stores the device operation data corresponding to each industrial device, obtains device history data related to each industrial device, analyzes the device history data to obtain device state prediction information related to the industrial devices, performs device abnormal trend judgment according to the device state prediction information, determines the related industrial devices when there is a device abnormal trend, generates an abnormal early warning signal, and transmits the abnormal early warning signal to the related industrial devices through the data transmission channel, where the related industrial devices can perform corresponding abnormal early warning reminding according to the abnormal early warning signal.
Specifically, fig. 8 shows a block diagram of a structure of the state prediction analysis unit 103 in the system according to the embodiment of the present invention.
In a preferred embodiment provided by the present invention, the state prediction analysis unit 103 specifically includes:
the operation data uploading module 1031 is configured to upload the multiple pieces of device operation data to a cloud, and generate multiple pieces of device history data.
A historical data analysis module 1032 configured to generate a plurality of pieces of device status prediction information by analyzing a plurality of pieces of the device historical data.
An abnormal trend determining module 1033, configured to determine whether there is an abnormal trend according to the multiple pieces of device state prediction information.
The device anomaly early warning module 1034 is configured to perform anomaly early warning on the corresponding industrial device when an anomaly trend exists.
In summary, in the embodiments of the present invention, the device operation data of the plurality of industrial devices is obtained; performing instant calculation analysis, judging whether operation abnormity exists, and prompting abnormal operation when the operation abnormity exists; uploading the running data of the equipment to a cloud end, generating and analyzing historical data of the equipment, generating state prediction information of the equipment, and performing abnormity early warning according to the state prediction information of the equipment. The data transmission channel can be established with a plurality of industrial equipment, the equipment operation data is obtained, the judgment and prompt of abnormal operation are carried out immediately, the equipment operation data is uploaded to the cloud, the equipment state prediction and early warning are carried out by analyzing the equipment historical data, all industrial equipment in the production process of automobile parts can be managed and monitored in a unified mode, the equipment management cost is effectively reduced, and the equipment management efficiency is improved.
It should be understood that, although the steps in the flowcharts of the embodiments of the present invention are shown in sequence as indicated by the arrows, the steps are not necessarily performed in sequence as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least a portion of the steps in various embodiments may include multiple sub-steps or multiple stages that are not necessarily performed at the same time, but may be performed at different times, and the order of performance of the sub-steps or stages is not necessarily sequential, but may be performed in turn or alternately with other steps or at least a portion of the sub-steps or stages of other steps.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a non-volatile computer-readable storage medium, and can include the processes of the embodiments of the methods described above when the program is executed. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
The technical features of the embodiments described above may be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the embodiments described above are not described, but should be considered as being within the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents and improvements made within the spirit and principle of the present invention are intended to be included within the scope of the present invention.
Claims (8)
1. The industrial equipment internet cloud management method is characterized by specifically comprising the following steps:
respectively establishing data transmission channels with a plurality of industrial devices, and acquiring device operation data of the industrial devices according to the data transmission channels;
performing real-time calculation analysis on the operation data of the plurality of devices to generate operation analysis information, judging whether operation abnormity exists according to the operation analysis information, and prompting abnormal operation when the operation abnormity exists;
uploading the plurality of equipment operation data to a cloud end to generate a plurality of equipment historical data, analyzing the plurality of equipment historical data to generate a plurality of equipment state prediction information, and performing abnormity early warning according to the plurality of equipment state prediction information.
2. The industrial equipment internet cloud management method according to claim 1, wherein the step of respectively establishing data transmission channels with a plurality of industrial equipment and the step of obtaining the equipment operation data of the plurality of industrial equipment according to the plurality of data transmission channels specifically comprises the following steps:
respectively establishing data transmission channels with a plurality of industrial devices;
sending a data transmission instruction to the industrial equipment according to the data transmission channels;
and acquiring equipment operation data sent by the industrial equipment according to the data transmission instruction.
3. The internet cloud management method for industrial equipment according to claim 1, wherein the step of performing real-time calculation analysis on the operation data of the plurality of pieces of equipment to generate operation analysis information, judging whether an operation abnormality exists according to the operation analysis information, and performing an abnormal operation prompt when the operation abnormality exists specifically includes the steps of:
performing instant calculation analysis on the operation data of the equipment to generate a plurality of operation analysis information;
judging whether equipment operation abnormity exists or not according to the operation analysis information;
when equipment operation is abnormal, generating an abnormal operation prompt and sending the abnormal operation prompt to corresponding industrial equipment;
and when the equipment is not abnormally operated, the abnormal operation prompt is not generated.
4. The industrial device internet cloud management method according to claim 1, wherein the uploading of the plurality of device operation data to a cloud end to generate a plurality of device history data, the analyzing of the plurality of device history data to generate a plurality of device state prediction information, and the performing of the abnormality early warning according to the plurality of device state prediction information specifically include the following steps:
uploading the plurality of equipment operation data to a cloud end to generate a plurality of equipment historical data;
generating a plurality of device state prediction information by analyzing a plurality of the device history data;
judging whether an abnormal trend exists or not according to the state prediction information of the equipment;
and when the abnormal trend exists, performing abnormal early warning on the corresponding industrial equipment.
5. The industrial equipment internet cloud management system is characterized by comprising a transmission channel establishing unit, an instant operation analysis unit and a state prediction analysis unit, wherein:
the transmission channel establishing unit is used for respectively establishing data transmission channels with a plurality of industrial devices and acquiring device operation data of the industrial devices according to the data transmission channels;
the instant operation analysis unit is used for carrying out instant calculation analysis on the operation data of the equipment to generate operation analysis information, judging whether the operation is abnormal or not according to the operation analysis information, and carrying out abnormal operation prompt when the operation is abnormal;
the state prediction analysis unit is used for uploading the plurality of equipment operation data to a cloud end, generating a plurality of equipment historical data, analyzing the plurality of equipment historical data, generating a plurality of equipment state prediction information, and performing abnormity early warning according to the plurality of equipment state prediction information.
6. The industrial equipment internet cloud management system of claim 5, wherein the transmission channel establishing unit specifically comprises:
the transmission channel establishing module is used for respectively establishing data transmission channels with a plurality of industrial devices;
the transmission instruction sending module is used for sending data transmission instructions to the industrial equipment according to the data transmission channels;
and the operation data acquisition module is used for acquiring the equipment operation data sent by the industrial equipment according to the data transmission instruction.
7. The industrial equipment internet cloud management system of claim 5, wherein the instant operation analysis unit specifically comprises:
the instant calculation analysis module is used for carrying out instant calculation analysis on the operation data of the equipment to generate a plurality of operation analysis information;
the operation abnormity judgment module is used for judging whether equipment operation abnormity exists according to the operation analysis information;
and the abnormal operation processing module is used for generating an abnormal operation prompt when the equipment is abnormally operated, sending the abnormal operation prompt to the corresponding industrial equipment, and not generating the abnormal operation prompt when the equipment is abnormally operated.
8. The industrial equipment internet cloud management system of claim 5, wherein the state prediction analysis unit specifically comprises:
the operation data uploading module is used for uploading the plurality of equipment operation data to a cloud end to generate a plurality of equipment historical data;
the historical data analysis module is used for generating a plurality of pieces of equipment state prediction information by analyzing a plurality of pieces of equipment historical data;
the abnormal trend judging module is used for judging whether an abnormal trend exists according to the state prediction information of the equipment;
and the equipment abnormity early warning module is used for carrying out abnormity early warning on corresponding industrial equipment when an abnormity trend exists.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210402461.6A CN114884942A (en) | 2022-04-18 | 2022-04-18 | Industrial equipment internet cloud management method and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210402461.6A CN114884942A (en) | 2022-04-18 | 2022-04-18 | Industrial equipment internet cloud management method and system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN114884942A true CN114884942A (en) | 2022-08-09 |
Family
ID=82668731
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210402461.6A Pending CN114884942A (en) | 2022-04-18 | 2022-04-18 | Industrial equipment internet cloud management method and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114884942A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115494774A (en) * | 2022-09-27 | 2022-12-20 | 山信软件股份有限公司 | Method and system for warning abnormal state of industrial equipment group |
| CN116009463A (en) * | 2023-03-28 | 2023-04-25 | 聊城市冠达机械配件厂 | Bearing retainer production monitoring method, equipment and medium based on industrial Internet |
-
2022
- 2022-04-18 CN CN202210402461.6A patent/CN114884942A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115494774A (en) * | 2022-09-27 | 2022-12-20 | 山信软件股份有限公司 | Method and system for warning abnormal state of industrial equipment group |
| CN116009463A (en) * | 2023-03-28 | 2023-04-25 | 聊城市冠达机械配件厂 | Bearing retainer production monitoring method, equipment and medium based on industrial Internet |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN114884942A (en) | Industrial equipment internet cloud management method and system | |
| CN109768623B (en) | Monitoring method and device of power system, computer equipment and storage medium | |
| CN114723082B (en) | Abnormality early warning method and system for intelligent low-voltage complete equipment | |
| US20220365525A1 (en) | Systems, methods, and devices for equipment monitoring and fault prediction | |
| CN109508790A (en) | Fault data processing method, device and computer equipment based on leased equipment | |
| CN109696883B (en) | Numerical control machine tool state monitoring and early warning system based on cloud storage | |
| CN111966518A (en) | Fault data recording method, system, automobile and storage medium | |
| CN115776438B (en) | Industrial control data transmission method and system | |
| CN108306997B (en) | Domain name resolution monitoring method and device | |
| CN115222181B (en) | Robot operation state monitoring system and method | |
| CN113342588B (en) | Method and device for carrying out pressure test on server based on dynamic adjustment load | |
| CN111586155A (en) | Vehicle data processing method and system | |
| CN113011745A (en) | Abnormity detection method, device, equipment and medium in power grid safety operation and maintenance | |
| CN113919546A (en) | Visual prediction system of equipment life | |
| CN117319179A (en) | Equipment abnormality monitoring method and system based on mechanism model and industrial Internet of things | |
| CN115134403B (en) | Internet of things communication assembly control method supporting multi-protocol access | |
| JP2024088565A (en) | Control device and method for intelligent manufacturing equipment | |
| CN113784235B (en) | Cable current-carrying capacity monitoring system, method, device, gateway equipment and storage medium | |
| CN113570473B (en) | Equipment fault monitoring method, device, computer equipment and storage medium | |
| CN115953880A (en) | Monitoring and early warning system and method for citric acid production | |
| CN115834195A (en) | Log anomaly detection method, device, system and medium | |
| CN111860954B (en) | Vehicle loss-of-link prediction method, device, computer equipment and storage medium | |
| CN113808727A (en) | Equipment monitoring method and device, computer equipment and readable storage medium | |
| CN113259396A (en) | S7comm protocol anomaly detection method and device | |
| CN112632711A (en) | Ship fault prediction method and device, computer equipment and storage medium |
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 |