CN112815969A - Internet of things optical fiber analyzer device based on edge calculation - Google Patents
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Abstract
The invention relates to the technical field of optical fiber analyzers and discloses an optical fiber analyzer device of the internet of things based on edge calculation. The optical fiber analyzer device based on the internet of things adopts hardware platform, functional software, structure modularization and software and hardware decoupling design, meets the requirements of high-performance concurrency, large-capacity storage and multiple acquisition objects, collects power supply and power consumption and environmental information acquisition in a power transmission station area, and positions each acquisition terminal or ice coating, waving, lightning stroke, wind speed and flashover, collects data of terminal equipment by using optical fiber sensing, adopts state monitoring and analysis of an edge calculation method, realizes automatic AI image identification by using an AI intelligent algorithm, gives an accident alarm and records faults, and carries out internet of things communication networking, local analysis decision and cooperative calculation by using various communication methods.
Description
Technical Field
The invention relates to the technical field of optical fiber analyzer devices, in particular to an optical fiber analyzer device of the internet of things based on edge calculation.
Background
The electric power transmission line plays a very important role in national economic development and normal electricity utilization life, mainly comprises an iron tower, a foundation, a lead, a ground wire, hardware fittings, an insulator and the like, has few types of components, but has an absolutely large number, and the failure of any part of the line can cause the shutdown of the whole line, so that the impact on an electric power system is huge. With the acceleration of economic and social development, the problems of line fault caused by the pollution level improvement along lines, severe weather environments (strong wind, snowstorm and hail) and bird damage influence are increasingly obvious, so that the online monitoring and fault diagnosis of the power transmission line are important measures for improving the reliability of a power system. Utilize the advantage that optic fibre transmission distance is far away, transmission data is fast, the loss is low, stability is high, interference killing feature is strong etc, be connected through optic fibre and electric power transmission line with optic fibre sensing module, realize many parameters real-time supervision with an optic fibre, carry on AI imaging technique again, discovery trouble that can be timely quick has avoided the line fault to have cut out the high-value loss that causes.
Disclosure of Invention
Technical problem to be solved
Aiming at the defects of the prior art, the invention provides an optical fiber analyzer device of the internet of things based on edge calculation, which adopts the design of hardware platformization, functional software, structure modularization and software and hardware decoupling to meet the requirements of high-performance concurrency, large-capacity storage and multiple acquisition objects, collects the power supply and power consumption of a power transmission station area and environmental information acquisition, and positions each acquisition terminal or ice coating, waving, lightning stroke, wind speed and flashover, utilizes optical fiber sensing to collect data of terminal equipment, adopts the state monitoring and analysis of the edge calculation method, utilizes an AI intelligent algorithm to realize the advantages of automatic AI image identification, accident alarm and fault recording, carries out communication networking of the internet of things through various communication methods, local analysis decision-making, cooperative calculation and the like, and solves the problems in the using process of the optical fiber analyzer device of the internet of things.
(II) technical scheme
In order to realize the purposes of adopting hardware platform, functional software, structure modularization and software and hardware decoupling design, meeting the requirements of high-performance concurrency, large-capacity storage and multiple acquisition objects, collecting power supply and environment information acquisition in a power transmission platform area, icing, waving, lightning stroke, wind speed and flashover positioning of each acquisition terminal, utilizing optical fiber sensing to collect data of terminal equipment, adopting state monitoring and analysis of an edge calculation method, utilizing an AI intelligent algorithm to realize automatic AI image recognition, accident alarm and fault recording, and carrying out Internet of things communication networking, local analysis decision, cooperative calculation and the like through various communication methods, the invention provides the following technical scheme: an Internet of things optical fiber analyzer device based on edge calculation comprises a main control module with important edge calculation nodes, an optical fiber sensing module connected with terminal platform equipment and an uplink communication module connected with a cloud management platform through an encryption module, wherein the main control module with the important edge calculation nodes is connected with a main control board, and the optical fiber sensing module connected with the terminal platform equipment is connected with an electric power transmission line through optical fibers; the main control board is connected with the cloud management platform through the encryption module and the communication module.
Preferably, the main control module with the important edge calculation node is connected with a main control board, and the main control board is respectively provided with a power supply module, a display module, a TTU module, an AI artificial intelligence module, a protection module, a GPS positioning module, a fault alarm module and a downlink communication module.
Preferably, the optical fiber sensor is a digital sensor with high precision, high sensitivity, electrical insulation and chemical stability.
Preferably, the encryption module who is connected with main control panel and high in the clouds management platform is joined in marriage from two safe industrial level encryption chips, supports marketing, joins in marriage from the host computer safety access, and is equipped with the encryption service device that multiple service factor confirms: encryption, authentication, digital signature, and key management.
Preferably, the uplink communication module connected with the main control board and the cloud management platform provides multiple communication interfaces, including: RJ45, RS485, IIC, SPI, USB, RS 232.
Preferably, the main control board hardware is a chip of national network core, and the main control board hardware adopts modular APP design.
Preferably, the power module includes two power supply modes: a normal working power supply and a backup power supply; the normal working power supply is supplied with power by using an alternating-current three-phase four-wire system; the backup power supply adopts a super capacitor as a backup power supply and is integrated in the mainboard.
Preferably, the TTU module has an end user data acquisition function, and includes: the system comprises a full-line monitoring function, low-voltage topology dynamic management, power utilization information acquisition management, distribution transformer on-line monitoring, power failure fault study and judgment, distributed energy management and the like.
Preferably, the AI artificial intelligence module is in wireless connection with the AI camera, and an AI algorithm is deployed at the front end of the camera through an edge calculation concept, so that the system has the functions of automatic AI image identification, accident alarm, fault recording and the like.
Preferably, the downlink communication module has the capability of multiple IOT interfaces of RS485/RS232/BLE/WIFI/RJ 45.
Preferably, the full-line monitoring function mainly realizes the panoramic perception and early warning comprehensive diagnosis of the power transmission line, and if icing monitoring early warning and intelligent decision, galloping monitoring early warning and intelligent decision and the like, an edge calculation method is adopted to collect corresponding data information, and the method comprises the following steps: 1) collecting data of line icing/galloping/wind speed by utilizing a Rayleigh scattering principle; 2) acquiring OPGW temperature/sag data by utilizing a Brillouin scattering principle 3), acquiring flashover/lightning stroke data by utilizing a Rayleigh scattering/magneto-optical effect 4), and acquiring outbreak alarm information by utilizing a Rayleigh scattering principle.
Preferably, the AI artificial intelligence module has a deep self-learning function, and registers and stores strategies through an AI deep learning algorithm, and then tracks the accuracy of the strategies, wherein the high-accuracy settlement with low upward movement accuracy is performed, and the AI artificial intelligence preferentially executes the strategies from the high-accuracy settlement without selecting the next strategy, and so on, the strategies must be subjected to garbage data screening through an AI shield, the data screened through the AI shield can be registered and stored, and the artificial intelligence module can also be subjected to registration, deletion, management and control through the AI shield.
(III) advantageous effects
Compared with the prior art, the invention provides an Internet of things optical fiber analyzer device based on edge calculation, which has the following beneficial effects:
1. one optical fiber realizes multi-parameter real-time monitoring;
2. the whole-line monitoring and monitoring coverage is wide;
3. intelligent analysis is performed on the end user by adopting various advanced algorithms and principles: an edge calculation method, an AI intelligent algorithm, a Rayleigh scattering principle, a Brillouin scattering principle and a magneto-optical effect;
4. the software adopts an advanced container application technology, and the installation, the operation and the like of the application software can be operated in a single container without mutual interference;
5. powerful thing networking communication function for data can be transmitted to the remote management platform fast and carry out data analysis and storage.
Drawings
Fig. 1 is a schematic structural diagram of an internet of things optical fiber analyzer device based on edge calculation according to the present invention;
fig. 2 is a field connection functional diagram of an internet of things optical fiber analyzer device based on edge calculation according to the present invention.
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. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1-2, an optical fiber analyzer device of the internet of things based on edge computing includes a main control module with important edge computing nodes, an optical fiber sensing module connected with a terminal platform device, and an uplink communication module connected with a cloud management platform through an encryption module; the main control module with the important edge computing node is connected with the main control board; the optical fiber sensing module connected with the terminal platform equipment is connected with the power transmission line through an optical fiber, and multi-parameter real-time monitoring is realized by using one optical fiber; the main control board is connected with the cloud management platform through the encryption module and the communication module, so that various network communication supports MQTT, NETCONF, RPC, HTTP, 61850 and other protocols, and the network layer IP protocol supports IPv4 and IPv6 protocols.
The main control module with the important edge computing nodes is connected with a main control board, and a power supply module, a display module, a TTU module, an AI artificial intelligence module, a protection module, a GPS positioning module, a fault alarm module and a downlink communication module are respectively arranged on the main control board;
the optical fiber sensor adopts a digital sensor with high precision, high sensitivity, electrical insulation and chemical stability, combines an optical fiber optical time domain reflection technology and an optical fiber Rayleigh scattering and Brillouin scattering detection technology, measures scattering signals of all points distributed along an optical fiber, and extracts information of loss, temperature, strain, vibration and the like of the optical fiber.
The encryption module who is connected with main control panel and high in the clouds management platform is joined in marriage from two safe industrial level encryption chips, supports marketing, joins in marriage from the host computer safety access to be equipped with the encryption service device of confirming by multiple service factor if: encryption, authentication, digital signature, and key management.
The uplink communication module connected with the main control board and the cloud management platform provides various communication interfaces, such as: RJ45, RS485, IIC, SPI, USB and RS232, and the system realizes that various network communication supports protocols such as MQTT, NETCONF, RPC, HTTP, 61850 and the like, and a network layer IP protocol supports IPv4 and IPv6 protocols.
The hardware of the main control board adopts a 'national network core' chip, the main control performance, the internal memory, the FLASH and other hardware resources are richer, based on the SCM701 basic core board design, a Cortex-A74 core CPU has the advantages that the main frequency can reach 1.2GHz at most, the FLASH is more than or equal to 4GB, the edge computing capability is realized, the data on-site processing and intelligent analysis are realized, and the cloud pressure is reduced.
The software adopts a Docker container technology to realize transverse safety isolation of services; and adopts modular APP design, flexible deployment of business application, user can realize customized application secondary development, such as the IOT fiber analyzer device based on edge computing in claim 2, the power module provides two power supply modes of normal working power supply and backup power supply,
the normal working power supply uses an alternating current three-phase four-wire system for power supply, and when a system fails (two-phase power is interrupted during three-phase four-wire power supply), the alternating current power supply can be used for the terminal to work normally; rated voltage: C220V/380V, 50 Hz; tolerance deviation: -20% to + 20%; the terminal is powered on and off, the power supply voltage slowly rises or slowly falls, no misoperation or signal missending is caused, and the normal operation is automatically recovered after the power supply is recovered to be normal; after the power supply is recovered, the stored data is not lost, and the internal clock normally runs.
The backup power supply adopts a super capacitor as a backup power supply and is integrated in the main board, when a main power supply of the terminal fails, the super capacitor can be automatically and seamlessly put into use, each module of the main board is maintained to normally work for at least 3 minutes, and the backup power supply has the capability of communicating with the main station for 3 times to finish data reporting; when the working power supply is lost, the terminal should ensure that all setting values and recorded data are stored for no less than 1 year; the maintenance-free time of the super capacitor is not less than 8 years.
The TTU module realizes the data acquisition function of the terminal user, such as: the system comprises a full-line monitoring function, low-voltage topology dynamic management, power utilization information acquisition management, distribution transformer on-line monitoring, power failure fault study and judgment, distributed energy management and the like.
AI artificial intelligence module wireless connection AI camera through the edge calculation theory, deploys the AI algorithm at the camera front end, realizes automatic AI image recognition, functions such as accident alarm, fault record, but all-weather high definition makes a video recording, and monitors the platform simultaneously, including stealing destruction change platform, construction machinery is close to, change platform smoking is on fire, dangerous climbing, foreign matter is hung and is taken, multiple incident such as safety helmet wearing, carries out real time monitoring to platform area running situation, perimeter protection, safety work.
The downlink communication module mainly realizes the protection operation on the terminal user and provides the capability of multiple IOT interfaces of RS485/RS232/BLE/WIFI/RJ 45.
The full-line monitoring function mainly realizes the panoramic perception and early warning comprehensive diagnosis of the power transmission line, and if icing monitoring early warning and intelligent decision, galloping monitoring early warning and intelligent decision and the like, corresponding data information is acquired by adopting an edge calculation method, such as: 1) collecting data of line icing/galloping/wind speed by utilizing a Rayleigh scattering principle; 2) acquiring OPGW temperature/sag data by utilizing a Brillouin scattering principle 3), acquiring flashover/lightning stroke data by utilizing a Rayleigh scattering/magneto-optical effect 4), and acquiring outbreak alarm information by utilizing a Rayleigh scattering principle.
The AI artificial intelligence module has a deep self-learning function, strategies are registered and stored through an AI deep learning algorithm, then the accuracy of the strategies is tracked, settlement with high accuracy and low accuracy of upward movement is achieved, the AI artificial intelligence is preferentially executed from high accuracy without selecting the next strategy, and the steps are repeated in such a way that the strategies must pass through an AI shield to screen garbage data, the data screened by the AI shield can be registered and stored, and manual work can also be used for registration, deletion, control and management through the AI shield.
As shown in fig. 1, the optical fiber analyzer device is located in an edge calculation layer, and data monitoring on the terminal device is implemented by using an edge calculation method and a Docker container technology, and a specific working implementation method thereof is shown in fig. 2, which takes a full-line monitoring APP in a container 1 as an example to explain:
the device is connected with an optical fiber conversion head through an optical fiber, and the optical fiber conversion head is connected with tested equipment, namely an OPGW optical cable or an OPPC optical cable of an electric power transmission line.
And secondly, electrifying the device, starting each module of hardware, starting an all-line monitoring APP in the container 1, actively acquiring relevant data of the power transmission line acquired by optical fiber sensing by a TTU module, such as icing monitoring early warning, overload, sag abnormity, lightning stroke, galloping monitoring early warning data and the like, then carrying out fault location on a fault point by a GPS (global positioning system) positioning module to realize fault monitoring and early warning of the all-line power transmission line, and finally reporting the fault point or the early warning data to a main control module, wherein the main control module transmits the calculated data to a display module and an AI imaging module through a corresponding edge calculation method, an AI intelligent algorithm, a Rayleigh scattering principle, a Brillouin scattering principle, a magneto-optical effect and the like, and the device mainly realizes panoramic sensing and early warning comprehensive diagnosis of the power transmission line.
And thirdly, after the analysis, calculation and display of the edge layer are finished, the data are uploaded to a cloud management platform of the Internet of things through an APN (access point name) network or a power private network through an encryption module and an uplink communication module.
And fourthly, the cloud management platform performs data storage, comprehensive management, intelligent decision and analysis prejudgment, a decision data instruction is issued to the optical fiber analyzer device through the uplink communication module, the optical fiber analyzer device decodes the instruction, then the protection module is started, and the protection instruction is transmitted to the optical fiber sensor through the downlink communication module for protection operation.
The working principle and the function of the invention are as follows:
according to the invention, information interconnection and fusion are realized through the Internet of things, preliminary diagnosis and alarm, intelligent early warning for fault diagnosis and accurate operation and maintenance of the equipment state are realized by using edge calculation and AI intelligent algorithms, active evaluation of the power transmission line state is realized by using artificial intelligent means such as big data and cloud calculation, the container technology and a virtual independent operation environment are adopted, and the mutual influence of application software in the container and other containers or operation systems can be shielded through dividing and isolating physical resources (CPU, memory, disk, network resources and the like) of the terminal part, so that the operation and maintenance support capability of the line is further improved, the operation and maintenance efficiency and efficiency benefits of the line are improved, and the intelligent power transmission line is a bridge between the end-side equipment and the cloud master station.
It is to be noted that the term "comprises," "comprising," or any other variation thereof is intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (10)
1. The utility model provides a thing networking fiber analyzer device based on edge calculation, includes the host system who has important edge calculation node, the optic fibre sensing module who is connected with terminal platform equipment and the communication module that goes upward that passes through the connection of encryption module with high in the clouds management platform, its characterized in that: the main control module with the important edge computing node is connected with a main control board, and the optical fiber sensing module connected with the terminal platform equipment is connected with the power transmission line through optical fibers; the main control board is connected with the cloud management platform through the encryption module and the communication module.
2. The internet of things fiber analyzer device based on edge computing of claim 1, wherein: the main control module with the important edge computing nodes is connected with a main control board, and a power supply module, a display module, a TTU module, an AI artificial intelligence module, a protection module, a GPS positioning module, a fault alarm module and a downlink communication module are respectively arranged on the main control board.
3. The internet of things fiber analyzer device based on edge computing of claim 1, wherein: the optical fiber sensor is a digital sensor with high precision, high sensitivity, electrical insulation and chemical stability.
4. The internet of things fiber analyzer device based on edge computing of claim 1, wherein: the encryption module who is connected with main control panel and high in the clouds management platform is joined in marriage from two safe industrial level encryption chips, supports marketing, joins in marriage from the safety access of independently standing, and is equipped with the encryption service device that multiple service factor is confirmed: encryption, authentication, digital signature and key management; the last communication module who is connected with main control panel and high in the clouds management platform provides multiple communication interface, include: RJ45, RS485, IIC, SPI, USB, RS 232.
5. The internet of things fiber analyzer device based on edge computing of claim 1, wherein: the main control board hardware is a 'national net core' chip, and the main control board hardware adopts modular APP design.
6. The internet of things fiber analyzer device based on edge computing of claim 1, wherein: the power module comprises two power supply modes: a normal working power supply and a backup power supply; the normal working power supply is supplied with power by using an alternating-current three-phase four-wire system; the backup power supply adopts a super capacitor as a backup power supply and is integrated in the mainboard.
7. The internet of things fiber analyzer device based on edge computing of claim 2, wherein: the TTU module has a terminal user data acquisition function and comprises: the system comprises a full-line monitoring function, low-voltage topology dynamic management, power utilization information acquisition management, distribution transformer on-line monitoring, power failure fault study and judgment and distributed energy management, and a downlink communication module has the capability of multiple IOT interfaces of RS485/RS232/BLE/WIFI/RJ 45.
8. The internet of things fiber analyzer device based on edge computing of claim 2, wherein: the AI artificial intelligence module is in wireless connection with the AI camera, and an AI algorithm is deployed at the front end of the camera according to an edge calculation concept, so that the system has the functions of automatic AI image identification, accident alarm, fault recording and the like.
9. The internet of things fiber analyzer device based on edge computing of claim 7, wherein: the full-line monitoring function mainly realizes the panoramic perception and early warning comprehensive diagnosis of the power transmission line, and if icing monitoring early warning and intelligent decision, galloping monitoring early warning and intelligent decision and the like, corresponding data information is acquired by adopting an edge calculation method, and the method comprises the following steps: 1) collecting data of line icing/galloping/wind speed by utilizing a Rayleigh scattering principle; 2) acquiring OPGW temperature/sag data by utilizing a Brillouin scattering principle 3), acquiring flashover/lightning stroke data by utilizing a Rayleigh scattering/magneto-optical effect 4), and acquiring outbreak alarm information by utilizing a Rayleigh scattering principle.
10. The internet of things fiber analyzer device based on edge computing of claim 2, wherein: the AI artificial intelligence module has a deep self-learning function, strategies are registered and stored through an AI deep learning algorithm, then the accuracy of the strategies is tracked, settlement with high accuracy and low accuracy of upward movement is achieved, the AI artificial intelligence is preferentially executed from high accuracy without selecting the next strategy, and the steps are repeated in such a way that the strategies must pass through an AI shield to screen garbage data, the data screened by the AI shield can be registered and stored, and manual work can also be used for registration, deletion, control and management through the AI shield.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115615469A (en) * | 2022-10-09 | 2023-01-17 | 清华珠三角研究院 | Intelligent edge analysis device for distributed optical fiber sensing |
| CN115882938A (en) * | 2023-02-20 | 2023-03-31 | 中通服建设有限公司 | Optical network fault monitoring system |
| CN116405895A (en) * | 2023-06-08 | 2023-07-07 | 深圳市壹通道科技有限公司 | Intelligent regulation and control system based on 5G message Internet of things |
| CN116405110A (en) * | 2023-06-06 | 2023-07-07 | 四川天中星航空科技有限公司 | Multi-core optical cable fault positioning analysis equipment |
-
2020
- 2020-12-31 CN CN202011621109.9A patent/CN112815969A/en not_active Withdrawn
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115615469A (en) * | 2022-10-09 | 2023-01-17 | 清华珠三角研究院 | Intelligent edge analysis device for distributed optical fiber sensing |
| CN115615469B (en) * | 2022-10-09 | 2023-10-13 | 清华珠三角研究院 | A edge intelligent analysis device for distributed optical fiber sensing |
| CN115882938A (en) * | 2023-02-20 | 2023-03-31 | 中通服建设有限公司 | Optical network fault monitoring system |
| CN116405110A (en) * | 2023-06-06 | 2023-07-07 | 四川天中星航空科技有限公司 | Multi-core optical cable fault positioning analysis equipment |
| CN116405110B (en) * | 2023-06-06 | 2023-08-15 | 四川天中星航空科技有限公司 | Multi-core optical cable fault positioning analysis equipment |
| CN116405895A (en) * | 2023-06-08 | 2023-07-07 | 深圳市壹通道科技有限公司 | Intelligent regulation and control system based on 5G message Internet of things |
| CN116405895B (en) * | 2023-06-08 | 2023-08-22 | 深圳市壹通道科技有限公司 | Intelligent regulation and control system based on 5G message Internet of things |
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Application publication date: 20210518 |