CN114827224A - Monitoring platform based on cloud edge end architecture mode - Google Patents

Monitoring platform based on cloud edge end architecture mode Download PDF

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CN114827224A
CN114827224A CN202210533760.3A CN202210533760A CN114827224A CN 114827224 A CN114827224 A CN 114827224A CN 202210533760 A CN202210533760 A CN 202210533760A CN 114827224 A CN114827224 A CN 114827224A
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layer
data
cloud
monitoring platform
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刘利达
赵程
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Shandong Runyi Intelligent Technology Co ltd
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    • 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
    • H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
    • H04L67/125—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks involving control of end-device applications over a network
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/26—Visual data mining; Browsing structured data
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
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    • G—PHYSICS
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    • G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
    • G16H40/20—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
    • 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
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N7/00—Television systems
    • H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast

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Abstract

The invention discloses a monitoring platform based on a cloud edge architecture mode, which comprises an application layer, a service layer, a data layer, a private cloud, a local area network and a sensing layer, wherein the application layer, the service layer, the data layer, the private cloud, the local area network and the sensing layer are sequentially connected; the application layer comprises a data large screen, a safety monitoring platform, a PC management end, an energy consumption analysis platform, an APP management end and a comprehensive service platform; the service layer comprises an accurate early warning module, an energy efficiency analysis module, an intelligent diagnosis module, a one-key repair module, a risk prediction module, an intelligent dispatching module, an effective intervention module and a performance management module; the data layer comprises a business database, a diagnosis database, a prediction knowledge base, an early warning knowledge base and an intervention knowledge base. The invention adopts the management and solution of 'cloud + edge + end', realizes the integral solution of 'early warning, prediction and intelligent intervention', forms a big closed loop for preventing potential safety hazard and putting an end to safety accidents.

Description

Monitoring platform based on cloud edge end architecture mode
Technical Field
The invention relates to the technical field of monitoring platforms, in particular to a monitoring platform based on a cloud edge architecture mode.
Background
When a large integration project of hospital logistics is faced, due to the fact that related subsystems are various and the implementation modes are different, different system deployment and design schemes can generate differences on feasibility, cost control, expandability, safety and practicability of the integration project, and influence on system integration caused by the differences is correspondingly achieved.
Disclosure of Invention
The invention aims to solve the defects in the prior art, and provides a monitoring platform based on a cloud edge architecture mode.
In order to achieve the purpose, the invention adopts the following technical scheme:
a monitoring platform based on a cloud edge architecture mode comprises an application layer, a service layer, a data layer, a private cloud, a local area network and a sensing layer, wherein the application layer, the service layer, the data layer, the private cloud, the local area network and the sensing layer are sequentially connected;
the application layer comprises a data large screen, a safety monitoring platform, a PC management end, an energy consumption analysis platform, an APP management end and a comprehensive service platform;
the service layer comprises an accurate early warning module, an energy efficiency analysis module, an intelligent diagnosis module, a one-key repair module, a risk prediction module, an intelligent dispatching module, an effective intervention module and a performance management module;
the data layer comprises a business database, a diagnosis database, a prediction knowledge base, an early warning knowledge base and an intervention knowledge base;
the sensing layer comprises an intelligent gateway, an edge calculation module, a local joint control module, a sensor, a third party, a video monitor, an entrance guard and a PLC.
Preferably, the edge computing module is connected with a third party and the intelligent gateway through a first switch respectively.
Preferably, the local joint control module is respectively connected with the video monitoring device, the entrance guard device and the PLC through a second switch.
Preferably, the local joint control module is connected with a PC management end.
Preferably, the service layer adopts a distributed application program service interface to provide services including accurate early warning, intelligent diagnosis, risk prediction, effective intervention, energy efficiency analysis, one-key repair, intelligent dispatching, performance management and the like.
Preferably, the data layer stores and processes data by adopting artificial intelligence and a big data calculation analysis framework and algorithm, and performs machine learning and deep learning to provide analysis, prediction, decision basis and the like for the application layer.
Preferably, the sensing layer collects and stores data of the intelligent gateway in real time, performs real-time linkage control on video monitoring and entrance guard, and performs real-time edge calculation and processing on data and the like in a butt joint with a third party.
Compared with the prior art, the invention has the beneficial effects that:
the invention adopts the management and solution of 'cloud + edge + end', realizes the integral solution of 'early warning, prediction and intelligent intervention', forms a big closed loop for preventing potential safety hazard and putting an end to safety accidents; the cloud can realize intelligent diagnosis, accurate prediction, 3D visualization and hidden danger awareness; the three-dimensional monitoring, linkage control, intelligent intervention and hidden danger elimination can be realized, and comprehensive sensing, real-time acquisition, safe transmission and intelligent access can be realized; the practical scene and the application value of the service, the storage and calculation of data and high extensibility are fully considered, the advantages of the cloud and the local are complemented, and the singleness and the defect of the cloud and local area network implementation mode are overcome.
Drawings
Fig. 1 is a logic block diagram of a monitoring platform based on a cloud edge architecture mode according to the present invention;
fig. 2 is a partial logic block diagram of fig. 1.
In the figure: 1 application layer, 11 data large screen, 12 security monitoring platform, 13 PC management end, 14 energy consumption analysis platform, 15APP management end, 16 comprehensive service platform, 2 service layer, 21 accurate early warning module, 22 energy efficiency analysis module, 23 intelligent diagnosis module, 24 one-key repair module, 25 risk prediction module, 26 intelligent dispatching module, 27 effective intervention module, 28 performance management module, 3 data layer, 31 business database, 32 diagnosis database, 33 prediction knowledge base, 34 early warning knowledge base, 35 intervention knowledge base, 4 private cloud, 5 local area network, 6 perception layer, 61 intelligent gateway, 62 edge calculation module, 63 local joint control module, 64 sensor, 65 third party, 66 video monitoring, door control 67, 68 PLC controller, 71 first switch, 72 second switch.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments.
Referring to fig. 1, a monitoring platform based on a cloud edge architecture mode includes an application layer 1, a service layer 2, a data layer 3, a private cloud 4, a local area network 5, and a sensing layer 6, where the application layer 1, the service layer 2, the data layer 3, the private cloud 4, the local area network 5, and the sensing layer 6 are connected in sequence;
the application layer 1 comprises a data large screen 11, a security monitoring platform 12, a PC management terminal 13, an energy consumption analysis platform 14, an APP management terminal 15 and a comprehensive service platform 16;
the service layer 2 comprises an accurate early warning module 21, an energy efficiency analysis module 22, an intelligent diagnosis module 23, a one-key repair module 24, a risk prediction module 25, an intelligent dispatching module 26, an effective intervention module 27 and a performance management module 28;
the data layer 3 comprises a business database 31, a diagnosis database 32, a prediction knowledge base 33, an early warning knowledge base 34 and an intervention knowledge base 35;
the perception layer 6 comprises an intelligent gateway 61, an edge calculation module 62, a local joint control module 63, a sensor 64, a third party 65, a video monitor 66, a door control 67 and a PLC (programmable logic controller) 68.
The service layer 2 adopts a distributed application program service interface to provide services including accurate early warning, intelligent diagnosis, risk prediction, effective intervention, energy efficiency analysis, one-key repair, intelligent dispatching, performance management and the like.
The data layer 3 stores and processes data by adopting artificial intelligence and a big data calculation analysis frame and algorithm, performs machine learning and deep learning, and provides analysis, prediction, decision basis and the like for the application layer 1.
The sensing layer 6 collects and stores data of the intelligent gateway 61 in real time, performs real-time linkage control on the video monitor 66 and the entrance guard 67, and performs real-time edge calculation and processing on data and the like in butt joint with a third party 65.
Referring to fig. 2, the edge computing module 62 is connected to a third party 65 and the intelligent gateway 61 through a first switch 71, the local joint control module 63 is connected to a video monitor 66, a door control 67 and a PLC controller 68 through a second switch 72, and the local joint control module 63 is connected to the PC management terminal 13.
The perception layer 6 collects and stores data of the intelligent gateway 61 in real time, carries out real-time linkage control on the video monitor 66 and the entrance guard 67, carries out real-time edge calculation and processing on data and the like which are butted with a third party 65; the data layer 3 stores and processes data by adopting an artificial intelligence and big data calculation analysis frame and algorithm, and performs machine learning and deep learning to provide analysis, prediction, decision basis and the like for the application layer 1; the service layer 2 adopts a distributed application program service interface to provide services including accurate early warning, intelligent diagnosis, risk prediction, effective intervention, energy efficiency analysis, one-key repair, intelligent dispatching, performance management and the like; the application layer 1 performs all-dimensional and multi-dimensional integrated platform display on the data large screen 11, the PC management end 13 and the APP management end 15.
The real-time acquisition and storage of safety monitoring data of a video monitor 66, an access control 67 and a PLC 68 realize the localization privatization of the data, the real-time storage and backup of important data are not changeable, and the real-time control can be carried out on local building equipment to ensure the safety, reliability and no time delay; the safety monitoring data and the butt joint data of the third party 65 are processed in real time through the edge computing module 62, so that the timeliness of information processing and data pushing can be ensured;
the big data can be collected, stored, calculated, mined and managed through the service database 31, the diagnosis database 32, the prediction database 33, the early warning knowledge base 34 and the intervention knowledge base 35, and an artificial intelligent processing and analysis algorithm is adopted, so that the system is used for multi-dimensional three-dimensional measurement and control, intelligent high-efficiency early warning, dispatching auxiliary decision-making, equipment health indexes, fault automatic diagnosis, operation and maintenance closed-loop management, maintenance cycle reminding, service life prediction and the like, and can be used for machine learning and deep learning, and analysis, prediction, decision-making basis and the like are provided for an application layer;
the PC management terminal and the AP management terminal P can be used at any time, and the platform access is not limited locally based on the system architecture and data security transmission of the local area network 5 and the private cloud 4, so that high availability can be realized at any time and any place;
by the aid of the accurate early warning module 21, the energy efficiency analysis module 22, the intelligent diagnosis module 23, the one-key repair module 24, the risk prediction module 25, the intelligent dispatching module 26, the effective intervention module 27 and the performance management module 28, the important equipment can be analyzed through logistics for a large amount of operation data, and finally, the full life cycle management of the equipment and important accessories is achieved, the management system mainly comprises archive information, health operation indexes, inspection maintenance and maintenance of the equipment, possible fault reason analysis, possible future fault prediction and service life prediction of the equipment, and the logistics equipment is really perceived to be predicted; and setting three levels of alarms, namely early warning, warning and serious warning, aiming at different alarm information respectively, carrying out reminding in different modes such as app notification, short message and telephone according to the fault level, and accurately pushing the information at any time and any place.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.

Claims (7)

1. A monitoring platform based on a cloud side architecture mode comprises an application layer (1), a service layer (2), a data layer (3), a private cloud (4), a local area network (5) and a sensing layer (6), and is characterized in that the application layer (1), the service layer (2), the data layer (3), the private cloud (4), the local area network (5) and the sensing layer (6) are sequentially connected;
the application layer (1) comprises a data large screen (11), a security monitoring platform (12), a PC management end (13), an energy consumption analysis platform (14), an APP management end (15) and a comprehensive service platform (16);
the service layer (2) comprises a precise early warning module (21), an energy efficiency analysis module (22), an intelligent diagnosis module (23), a one-key repair module (24), a risk prediction module (25), an intelligent dispatching module (26), an effective intervention module (27) and a performance management module (28);
the data layer (3) comprises a business database (31), a diagnosis database (32), a prediction knowledge base (33), an early warning knowledge base (34) and an intervention knowledge base (35);
the perception layer (6) comprises an intelligent gateway (61), an edge calculation module (62), a local joint control module (63), a sensor (64), a third party (65), a video monitor (66), an entrance guard (67) and a PLC (programmable logic controller) (68).
2. The monitoring platform based on the cloud edge architecture mode as claimed in claim 1, wherein the edge computing module (62) is connected with a third party (65) and an intelligent gateway (61) through a first switch (71).
3. The monitoring platform based on the cloud side architecture mode as claimed in claim 2, wherein the local joint control module (63) is connected with the video monitor (66), the door control (67) and the PLC (68) through a second switch (72) respectively.
4. The monitoring platform based on the cloud side architecture mode as claimed in claim 3, wherein the local joint control module (63) is connected with the PC management terminal (13).
5. The monitoring platform based on the cloud edge architecture mode as claimed in claim 1, wherein the service layer (2) adopts a distributed application program service interface to provide services including accurate early warning, intelligent diagnosis, risk prediction, effective intervention, energy efficiency analysis, one-key repair, intelligent dispatching, performance management and the like.
6. The monitoring platform based on the cloud edge architecture mode as claimed in claim 1, wherein the data layer (3) stores and processes data by adopting artificial intelligence and a big data calculation analysis framework and algorithm, and performs machine learning and deep learning to provide analysis, prediction, decision basis and the like for the application layer (1).
7. The monitoring platform based on the cloud-edge architecture mode as claimed in claim 1, wherein the sensing layer (6) collects and stores data of the intelligent gateway (61) in real time, performs real-time linkage control on video monitoring (66) and access control (67), and performs real-time edge calculation and processing on docking data and the like with a third party (65).
CN202210533760.3A 2022-05-17 2022-05-17 Monitoring platform based on cloud edge end architecture mode Pending CN114827224A (en)

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Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110113827A (en) * 2019-04-14 2019-08-09 蘑菇物联技术（深圳）有限公司 Electromechanical equipment joint control method based on wireless telecommunications and edge calculations technology
CN110647315A (en) * 2019-09-06 2020-01-03 河北省水利水电勘测设计研究院 River course wisdom management and control system
CN110994798A (en) * 2019-12-16 2020-04-10 深圳供电局有限公司 Substation equipment monitoring system
US20210286885A1 (en) * 2020-03-11 2021-09-16 Abb Schweiz Ag Method and system for enhancing data privacy of an industrial system or electric power system
CN113487840A (en) * 2021-06-30 2021-10-08 江苏恒创软件有限公司 Gas management and monitoring early warning system
CN215646369U (en) * 2021-06-17 2022-01-25 四川省建筑科学研究院有限公司 Distributed energy monitoring device suitable for single building

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110113827A (en) * 2019-04-14 2019-08-09 蘑菇物联技术（深圳）有限公司 Electromechanical equipment joint control method based on wireless telecommunications and edge calculations technology
CN110647315A (en) * 2019-09-06 2020-01-03 河北省水利水电勘测设计研究院 River course wisdom management and control system
CN110994798A (en) * 2019-12-16 2020-04-10 深圳供电局有限公司 Substation equipment monitoring system
US20210286885A1 (en) * 2020-03-11 2021-09-16 Abb Schweiz Ag Method and system for enhancing data privacy of an industrial system or electric power system
CN215646369U (en) * 2021-06-17 2022-01-25 四川省建筑科学研究院有限公司 Distributed energy monitoring device suitable for single building
CN113487840A (en) * 2021-06-30 2021-10-08 江苏恒创软件有限公司 Gas management and monitoring early warning system

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