Intelligent monitoring device based on PON passive optical network

Abstract

The invention discloses an intelligent monitoring device based on a PON passive optical network, and belongs to the technical field of monitoring, the intelligent monitoring device comprises a monitoring device, the bottom of the monitoring device is provided with a support, the support is connected to a mounting plate, the mounting plate is connected to a base, and the monitoring device adopts a decoupling hardware architecture and supports posture recognition, human body activity monitoring and environment anomaly detection; and the solar panel is connected to the base, a warning piece is arranged on the monitoring equipment, storage batteries are arranged on the warning piece and the monitoring equipment, and the storage batteries are connected with the solar panel. The problems that in the aspects of old-age care monitoring and community security and protection based on existing monitoring, only a monitoring effect can be achieved, first-time warning and tracking cannot be conducted on falling of the old or children and security and protection, and the requirement of an existing market for monitoring equipment cannot be met are solved.

Description

Technical Field

[0001] This invention belongs to the field of monitoring technology, and in particular relates to an intelligent monitoring device based on a PON passive optical network. Background Technology

[0002] In current elderly care and community security scenarios, while traditional monitoring equipment can record basic images, it cannot identify and proactively warn of emergencies such as falls by the elderly or accidental falls by children. For example, when an elderly person living alone slips and falls at home or a child falls suddenly in a community playground, the existing monitoring system can only mechanically store the images, requiring continuous manual monitoring of the screen to detect the danger. There is often a delay of several minutes or even longer between the occurrence of the event and human detection. This "post-event review" mode cannot provide effective warnings within the golden rescue time, which greatly increases the risk of secondary injuries such as fractures and concussions caused by falls.

[0003] With the aging population and the increase in dual-income families, the market demand for monitoring equipment has upgraded from "being able to see" to "being able to understand and respond quickly," requiring the system to have automatic alarm push capabilities. However, existing products are unable to meet the rigid requirements of "zero-delay monitoring" in elderly care institutions and "no blind spots in safety coverage" in communities, forcing users to configure additional devices such as fall alarm wristbands and emergency buttons, which not only increases the cost of use but also leads to low management efficiency due to the fragmentation of multiple systems. Summary of the Invention

[0004] The purpose of this invention is to address the shortcomings of existing monitoring systems in elderly care and community security, which can only provide monitoring but cannot provide immediate warnings or tracking of falls or other security issues for the elderly or children, thus failing to meet the current market demand for monitoring equipment. Therefore, this invention proposes an intelligent monitoring device based on a PON (Passive Optical Network).

[0005] To achieve the above objectives, the present invention adopts the following technical solution: an intelligent monitoring device based on a PON passive optical network, comprising:

[0006] The monitoring equipment has a bracket at the bottom, which is connected to a mounting plate. The mounting plate is connected to a base. The monitoring equipment adopts a decoupled hardware architecture and supports posture recognition, human activity monitoring and environmental anomaly detection.

[0007] The solar panel is connected to the base. The monitoring equipment is equipped with a warning device. Both the warning device and the monitoring equipment are equipped with a battery, which is connected to the solar panel.

[0008] Furthermore, the monitoring equipment is equipped with a connecting shell at the bottom, with a bracket connected to both sides of the connecting shell, and anti-vibration pads are provided between the mounting plate and the base.

[0009] Furthermore, the aforementioned decoupled hardware architecture includes:

[0010] Perception module: Unifies the data format of multiple types of sensors through hardware abstraction layer, supports posture recognition, human activity monitoring and environmental anomaly detection, and collects real-time data in scenarios such as elderly / child falls and theft.

[0011] Computing module: Provides tiered computing power options, dynamically loads AI models, and enables localized real-time processing of functions such as fall recognition and theft detection;

[0012] Communication module: integrates PON optical interface and wireless backup link, supports dynamic wavelength allocation and star-chain topology reconstruction, and ensures the reliability of abnormal event warning information transmission.

[0013] Furthermore, the aforementioned star-chain topology dynamically adjusts the optical splitter connections by integrating a software-defined networking (SDN) controller in the optical line terminal (OLT). When the backbone fiber fails, the optical network unit (ONU) forms a subnet through a wireless mesh or backup fiber link to maintain local monitoring functions and ensure that warning information for elderly / child falls or thefts is not interrupted.

[0014] Furthermore, the aforementioned computing module adopts an edge-cloud collaborative AI architecture;

[0015] Edge: Deploy lightweight chips in the ONU, run posture recognition models and behavior analysis models, and trigger real-time alerts for elderly falls or theft incidents;

[0016] Cloud-based: Connects to the cloud platform via OLT, runs complex correlation analysis models, and uses federated learning to optimize the global model to achieve cross-camera tracking of stolen people's trajectories;

[0017] Collaborative mechanism: Feature vectors or early warning signals are uploaded at the edge, and spatiotemporal correlation analysis is performed in the cloud to generate intervention instructions.

[0018] Furthermore, the aforementioned decoupled hardware architecture also includes a dynamic resource blockchain scheduling system, which achieves resource optimization through the following steps:

[0019] (a) Each ONU acts as a blockchain node and publishes information on bandwidth, computing power, and storage requirements;

[0020] (b) The smart contract prioritizes fall warnings over regular monitoring based on event priority; it dynamically matches resources to ensure that the delay in handling emergency events is ≤50ms.

[0021] Furthermore, the various types of sensors supported by the aforementioned sensing module include:

[0022] Visible light camera: used for posture recognition and detecting falls;

[0023] Infrared thermal imager: Nighttime human activity monitoring to help assess the elderly's condition;

[0024] Millimeter-wave radar: Non-contact vital sign monitoring, providing early warning of abnormal conditions in the elderly;

[0025] Environmental sensors: temperature and humidity detection, gas concentration detection, and associated risk analysis.

[0026] This invention provides an intelligent monitoring device based on a PON (Passive Optical Network). Through multimodal sensing and edge-cloud collaboration, this device achieves a leap from passive monitoring to proactive early warning: In elderly care scenarios, the non-contact monitoring of millimeter-wave radar and infrared thermal imager avoids the burden of wearable devices for the elderly. Combined with posture recognition from a visible light camera, it can trigger an alert within 50ms after an elderly person falls and push it to family members or medical terminals, significantly reducing the risk of secondary injury. In community security scenarios, the linkage between environmental sensors and behavioral analysis models can detect fire hazards and theft in real time, while a blockchain scheduling system prioritizes urgent needs. Emergency resources ensure that warning information is restored and transmitted within 10 seconds, improving emergency response efficiency. The decoupled architecture and solar power supply design reduce deployment costs and improve environmental adaptability, while vibration damping pads and stable supports ensure the accuracy of sensor data. Ultimately, this forms a full-process intelligent security system covering "monitoring-analysis-early warning-linkage," meeting the urgent needs of aging societies and smart communities for high-reliability, low-latency monitoring, and improving the management efficiency of elderly care communities and security. In addition, solar panels are placed on top of the monitoring equipment, along with vibration damping pads, to protect the monitoring equipment from rain and vibration, extending its service life.

[0027] Therefore, this embodiment has the following advantages compared to the prior art:

[0028] A smart monitoring device based on PON (Passive Optical Network) solves the problem that existing monitoring systems in elderly care and community security can only play a monitoring role, but cannot provide immediate warnings and tracking of falls or other security issues for the elderly or children, thus failing to meet the current market demand for monitoring equipment. Attached Figure Description

[0029] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of the present invention and should not be regarded as a limitation on the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0030] Figure 1 This is a schematic diagram of the structure of an intelligent monitoring device based on a PON passive optical network.

[0031] Figure 2 This is a block diagram of a decoupled hardware architecture in an intelligent monitoring device based on a PON passive optical network.

[0032] Legend:

[0033] 1-Monitoring equipment; 2-Bracket; 3-Mounting plate; 4-Base; 5-Solar panel; 6-Warning element; 7-Connecting shell; 9-Vibration damping pad. Detailed Implementation

[0034] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0035] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. The components of the embodiments of the present invention described and shown in the accompanying drawings can generally be arranged and designed in various different configurations.

[0036] Therefore, the following detailed description of the embodiments of the invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely to illustrate selected embodiments of the invention. All other embodiments obtained by those skilled in the art based on the embodiments of the invention without inventive effort are within the scope of protection of the invention.

[0037] It should be noted that similar labels and letters in the following figures indicate similar items. Therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures.

[0038] In the description of the embodiments of the present invention, it should be noted that the terms "upper" and "inner" indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings, or the orientation or positional relationship in which the product of the invention is usually placed when in use. They are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limiting the present invention.

[0039] In the description of this invention, it should also be noted that, unless otherwise explicitly specified and limited, the terms "set," "install," "connect," and "link" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in this invention based on the specific circumstances.

[0040] Please see Figure 1-2 This invention provides a technical solution: an intelligent monitoring device based on a PON passive optical network, comprising:

[0041] The monitoring device 1 has a bracket 2 at its bottom, which is connected to a mounting plate 3. The mounting plate 3 is connected to a base 4. The monitoring device 1 adopts a decoupled hardware architecture and supports posture recognition, human activity monitoring and environmental anomaly detection.

[0042] The monitoring device 1 is equipped with a solar panel 5, which is connected to the base 4. The monitoring device 1 is equipped with a warning element 6. Both the warning element 6 and the monitoring device 1 are equipped with a storage battery, which is connected to the solar panel 5.

[0043] Specifically, see Figure 1-2 The monitoring device 1 has a connecting shell 7 at its bottom, the bracket 2 is connected to both sides of the connecting shell 7, and a vibration damping pad 8 is provided between the mounting plate 3 and the base 4.

[0044] Specifically, see Figure 1-2 The decoupled hardware architecture includes:

[0045] Perception module: Unifies the data format of multiple types of sensors through hardware abstraction layer, supports posture recognition, human activity monitoring and environmental anomaly detection, and collects real-time data in scenarios such as elderly / child falls and theft.

[0046] Computing module: Provides tiered computing power options, dynamically loads AI models, and enables localized real-time processing of functions such as fall recognition and theft detection;

[0047] Communication module: integrates PON optical interface and wireless backup link, supports dynamic wavelength allocation and star-chain topology reconstruction, and ensures the reliability of abnormal event warning information transmission.

[0048] This invention provides an intelligent monitoring device based on a PON (Passive Optical Network). This device utilizes a decoupled hardware architecture and a PON to collect real-time human behavior and environmental data via multimodal sensors (visible light cameras, infrared thermal imaging, and millimeter-wave radar). Combined with a lightweight AI model at the edge, it achieves millisecond-level local response to emergency events such as fall detection and vital sign monitoring. Simultaneously, it leverages the main link (dynamic wavelength allocation) and wireless backup links (4G / 5G / Mesh) of the PON optical network to build highly reliable communication, and uses an SDN controller to achieve star-chain topology reconstruction, ensuring local monitoring is maintained even in the event of fiber optic failure. In the cloud, federated learning tracks human trajectories across cameras, and combined with blockchain smart contracts, dynamically allocates bandwidth and computing resources, prioritizing the transmission of high-priority events such as fall warnings. This provides availability in scenarios such as elderly care and community security, improving event response efficiency by over 40%.

[0049] The warning device and the monitoring equipment are set up independently to avoid the monitoring equipment affecting the warning volume of the warning device.

[0050] Therefore, this embodiment has the following advantages compared to the prior art:

[0051] A smart monitoring device based on PON (Passive Optical Network) solves the problem that existing monitoring systems in elderly care and community security can only play a monitoring role, but cannot provide immediate warnings and tracking of falls or other security issues for the elderly or children, thus failing to meet the current market demand for monitoring equipment.

[0052] Example 2:

[0053] See Figure 1-2 The figure shows an intelligent monitoring device based on a PON passive optical network provided in Embodiment 2 of the present invention. Based on the above embodiments, this embodiment further improves the following technical solutions: The star-chain topology integrates a software-defined network (SDN) controller in the optical line terminal (OLT) to dynamically adjust the connection relationship of optical splitters. When the backbone fiber fails, the optical network unit (ONU) forms a subnet through a wireless mesh or backup fiber link to maintain local monitoring functions and ensure that warning information for elderly / child falls or thefts is not interrupted. In community monitoring, if the fiber of a building is cut, the ONU of that building can switch to the wireless signal of the ONU in an adjacent building to ensure that the alarm for elderly falls is continuously uploaded.

[0054] Example 3:

[0055] See Figure 1-2The figure shows an intelligent monitoring device based on a PON passive optical network provided in Embodiment 3 of the present invention. Based on the above embodiments, the following technical solutions are further improved: the computing module adopts an edge-cloud collaborative AI architecture;

[0056] At the edge: a lightweight chip is deployed in the optical network unit (ONU) to run a posture recognition model and a behavior analysis model, which can trigger real-time alarms for elderly people falling or theft incidents.

[0057] Cloud-based: The cloud platform is connected via the optical line terminal (OLT) to run a complex correlation analysis model and use federated learning to optimize the global model, enabling cross-camera tracking of thieves' trajectories; if a camera in cell A captures a suspicious person, the cloud can correlate the data from the camera in cell B to predict their movement route and notify security personnel to intercept them.

[0058] Collaborative Mechanism: Feature vectors or early warning signals are uploaded from the edge device, and spatiotemporal correlation analysis is performed in the cloud to generate intervention commands. By combining timestamps and geographic location information, intervention commands are generated, such as locking access control systems or notifying family members, achieving full automation from detection to response.

[0059] Example 4:

[0060] See Figure 1-2 The figure shows an intelligent monitoring device based on a PON passive optical network provided in Embodiment 3 of the present invention. This embodiment further improves upon the above embodiments by making the following technical solutions: The decoupled hardware architecture also includes a dynamic resource blockchain scheduling system, which achieves resource optimization through the following steps:

[0061] Each of the optical network units (ONUs) described above acts as a blockchain node, publishing information on bandwidth, computing power, and storage requirements.

[0062] The smart contract prioritizes events, with fall alerts taking precedence over regular monitoring; it also dynamically allocates resources to ensure that emergency event processing delays are ≤50ms.

[0063] Example 5:

[0064] See Figure 1-2 The figure shows an intelligent monitoring device based on a PON passive optical network provided in Embodiment 3 of the present invention. This embodiment further improves upon the above embodiments by making the following technical solutions: the sensing module supports multiple types of sensors, including:

[0065] Visible light camera: used for posture recognition and detecting falls;

[0066] Infrared thermal imager: Nighttime human activity monitoring to help assess the elderly's condition;

[0067] Millimeter-wave radar: Non-contact vital sign monitoring, providing early warning of abnormal conditions in the elderly;

[0068] Environmental sensors: temperature and humidity detection, gas concentration detection, and associated risk analysis.

[0069] The above description is only a preferred embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any equivalent substitutions or modifications made by those skilled in the art within the scope of the technology disclosed in the present invention, based on the technical solution and inventive concept of the present invention, should be covered within the scope of protection of the present invention.

Claims

1. A PON-based intelligent monitoring device, characterized in that, The utility model relates to a kind of monitoring equipment (1), the bottom of which is provided with support (2), the support (2) is connected in mounting plate (3), the mounting plate (3) is connected in pedestal (4), the monitoring equipment (1) uses decoupling hardware architecture, supports posture recognition, human activity monitoring and environmental anomaly detection. And solar panel (5) is connected in the pedestal (4), warning part (6) is provided on the monitoring equipment (1), and the warning part (6) and the monitoring equipment (1) are both provided with battery, and the battery is connected with the solar panel (5). The bottom of the monitoring equipment (1) is provided with a connecting shell (7), and the support (2) is connected on both sides of the connecting shell (7). A vibration isolation pad (8) is arranged between the mounting plate (3) and the pedestal (4). 2.The intelligent monitoring device based on PON (Passive Optical Network) according to claim 1, wherein, The decoupling hardware architecture includes: 3.The intelligent monitoring device based on PON (Passive Optical Network) according to claim 1, wherein, a perception module that unifies multiple types of sensor data formats through a hardware abstraction layer, supports posture recognition, human activity monitoring, and environmental anomaly detection, and collects real-time data for fall detection of the elderly or children and theft scenarios; a computing module that provides hierarchical computing power options, dynamically loads AI models, and realizes localized real-time processing of fall detection and theft detection functions; a communication module that integrates PON optical interfaces and wireless backup links, supports dynamic wavelength allocation and star-chain topology reconstruction, and ensures the reliability of abnormal event warning information transmission. The star-chain topology dynamically adjusts the connection relationship of optical splitters by integrating a software-defined network (SDN) controller in the optical line terminal (OLT). When the backbone optical fiber fails, the optical network unit (ONU) forms a subnetwork through wireless Mesh or backup optical fiber links to maintain local monitoring functions and ensure that fall or theft event warning information for the elderly or children is not interrupted.

4. The intelligent monitoring device based on PON according to claim 3, wherein, The computing module uses an edge-cloud collaborative AI architecture; 5. The intelligent monitoring device based on PON according to claim 4, wherein, Edge: Lightweight chips are deployed in the optical network unit (ONU), and posture recognition models and behavior analysis models are run to trigger real-time alerts for falls of the elderly or theft events; Cloud: Connects to a cloud platform through the optical line terminal (OLT), runs complex correlation analysis models, optimizes global models using federated learning, and realizes cross-camera theft trajectory tracking; Collaborative mechanism: The edge uploads feature vectors or early warning signals, and the cloud performs spatio-temporal correlation analysis to generate intervention instructions. The decoupling hardware architecture also includes a dynamic resource blockchain scheduling system that optimizes resources through the following steps:

6. The intelligent monitoring device based on PON according to claim 3, wherein, (a) Each optical network unit (ONU) acts as a blockchain node and publishes bandwidth, computing power, and storage demand information. (b) Smart contracts dynamically match resources based on event priority, with fall alerts taking precedence over regular monitoring, to ensure that emergency event processing delays are less than or equal to 50 milliseconds. The perception module supports multiple types of sensors, including:

7. The intelligent monitoring device based on PON according to claim 4, wherein, Visible light camera: for posture recognition and fall detection; Infrared thermal imager: for night-time human activity monitoring and assisting in determining the status of the elderly; Millimeter wave radar: for non-contact vital sign monitoring and early warning of abnormal conditions in the elderly; Environmental sensors: for temperature and humidity detection, gas concentration detection, and risk analysis. ​

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