Real-time evaluation system for blue light and stroboscopic criticality of environment suitable for old people by fusing multi-point spectrum sensing

Abstract

The invention, which relates to the technical field of optical detection and control, discloses a real-time evaluation system for blue light and stroboflash criticality of an environment suitable for old people by fusing multi-point spectrum sensing, comprising a high-dynamic multi-point spectrum sensing network, an intelligent emergency illumination driving and control terminal, a central intelligent gateway / controller and a multi-mode emergency linkage module. Wherein the sensing network collects spectral data and personnel activity states through low-illumination and high-sensitivity nodes, the central gateway summarizes the data, generates a hazard result through an evaluation model containing emergency correction factors, generates an instruction through a real-time suppression algorithm when the hazard result exceeds a threshold value, and sends the hazard result to the central gateway; the driving terminal adjusts the LED current through self-adaptive high-frequency driving larger than 20 kHz and multi-channel current control so as to restrain harm and maintain illumination color rendering, the gateway has edge computing capacity, independent decision can be made when a network is disconnected, a multi-mode module is in linkage with a fire-fighting and alarm system, light health of a channel exit is preferentially guaranteed in emergency, and precise partition regulation and control over light harm of the environment suitable for the aged are achieved.

Description

Technical Field

[0001] This invention relates to the field of optical detection and control technology, and more specifically, to a real-time assessment system for the hazard of blue light and flicker in age-friendly environments that integrates multi-point spectral sensing. Background Technology

[0002] Light health protection in age-friendly emergency lighting needs to address the unique visual and physiological limitations of the elderly population. However, existing technologies have long suffered from adaptation gaps. As people age, the macular pigment in the retina declines, significantly reducing their tolerance to photochemical damage from short-wavelength blue light. Furthermore, the function of the pupillary sphincter muscle deteriorates. In low-light environments during emergency scenarios, the pupil needs to maintain a larger opening to obtain sufficient light, leading to a significant increase in the risk of blue light exposure to the retina. At the same time, the visual cortex of the elderly has a lower threshold for perceiving light intensity fluctuations, and the coordination between the visual and motor systems weakens during movement. Flicker can easily cause visual blurring and balance disorders, further amplifying safety hazards in emergency scenarios.

[0003] Current emergency lighting technology faces three key bottlenecks: First, the spectral sensing stage uses general-purpose light sensors, which can only collect total light intensity data and cannot capture core spectral characteristics such as the proportion of blue light bands. Furthermore, the signal-to-noise ratio drops sharply in low-light environments, resulting in inaccurate data support for blue light hazard assessment. Second, the hazard assessment model uses fixed parameters for conventional environments and lacks an emergency-state adaptation mechanism. It fails to consider the blue light hazard threshold shift caused by pupil changes in low light conditions and does not dynamically adjust the flicker sensitivity weight based on personnel activity, leading to a significant discrepancy between the assessment results and the actual risks to the elderly. Third, the control execution stage uses a single-channel drive architecture, simply reducing LED current to suppress blue light, which can easily cause insufficient illuminance or color distortion. The drive frequency design is not adequately adapted to the visual characteristics of the elderly, resulting in prominent flicker issues. Additionally, relying on cloud computing means the control response completely fails when the network is interrupted. Furthermore, multi-system linkage is limited to alarm triggering and lacks a light health priority control logic for key areas such as passageways and exits, failing to meet the special needs of the elderly during emergency evacuation.

[0004] In summary, existing technologies suffer from inaccurate low-light spectral sensing, lack of emergency correction and assessment, imbalance in regulation, and failure during network outages. Summary of the Invention

[0005] In order to overcome the problems of inaccurate low-light spectral sensing, lack of emergency correction assessment, imbalance of regulation and failure due to network outage in existing technologies, this invention discloses a real-time assessment system for the hazard of blue light and flicker in age-friendly environments that integrates multi-point spectral sensing, which can effectively solve the above-mentioned technical problems.

[0006] To solve the above-mentioned technical problems, the technical solution of the present invention is as follows: A real-time assessment system for the hazard levels of blue light and flicker in age-friendly environments, integrating multi-point spectral sensing, includes: A high dynamic multi-point spectral sensing network is used to collect spectral data in age-friendly environments and simultaneously sense the activity status information of people in the area, including stationary and moving states. The intelligent emergency lighting driver and control terminal is used to receive control commands. It has a built-in micro-processing unit and an advanced driving circuit. The driving circuit adopts adaptive high-frequency driving technology and integrates a multi-channel LED current precision control module, which can independently adjust the current of LED chips in different bands to achieve real-time and precise editing of spectral morphology. The central intelligent gateway / controller is used to aggregate spectral data and personnel activity status information collected by the high dynamic multi-point spectral sensing network, run the emergency state specific hazard assessment model and the real-time suppression algorithm based on spectral morphology editing, issue control commands to the intelligent emergency lighting driver and control terminal, and has edge computing capabilities. It can independently complete the light environment protection decision of the area when the network is interrupted. The multimodal emergency linkage module is used to link with the fire protection system and alarm system to automatically trigger the system's emergency mode. In the emergency mode, priority is given to ensuring the light health and safety of the directional lighting in passageways and exits in age-friendly environments. After receiving information collected by the high dynamic multi-point spectral sensing network, the central intelligent gateway / controller processes the information through an emergency-state specific hazard assessment model to generate blue light and flicker hazard assessment results. When the hazard assessment results exceed the safety threshold, a spectral control command is generated through a real-time suppression algorithm based on spectral morphology editing and sent to the intelligent emergency lighting driver and control terminal. The intelligent emergency lighting driver and control terminal adjusts the current of LED chips in different bands through the driving circuit according to the received spectral modulation command, so as to suppress and control the blue light hazard and flicker. At the same time, the central intelligent gateway / controller locates the area with excessive hazard according to the multi-point data of the high dynamic multi-point spectral sensor network and sends the zoned precise control command to the intelligent emergency lighting driver and control terminal.

[0007] Preferably, the high dynamic multi-point spectral sensing network includes several specially designed low-illuminance, high-sensitivity spectral sensing nodes. Each spectral sensing node has a built-in triaxial accelerometer for sensing the activity status information of people in the area. All spectral sensing nodes adopt a low-power design and can be powered by batteries or connected to an emergency circuit to ensure that they can continue to work and collect spectral data and personnel activity status information in the event of a main power failure.

[0008] Preferably, the emergency state specific hazard assessment model adds an emergency state correction factor to the standard blue light calculation model and the standard flicker calculation model. The emergency state correction factor includes a blue light hazard alarm threshold correction factor under low illumination environment and a flicker parameter sensitivity weight correction factor adjusted according to the personnel activity status. The emergency-state specific hazard assessment model is configured as follows: In low-light environments, the blue light hazard alarm threshold is appropriately reduced based on the blue light hazard alarm threshold correction factor, because in low-light environments, people's pupils dilate, allowing more blue light to enter the fundus; based on the activity status of people detected by sensors, the sensitivity weight of the flicker parameter is dynamically adjusted through the flicker parameter sensitivity weight correction factor. When people are moving, the sensitivity weight of the flicker parameter is increased, because people are more sensitive to flicker when moving.

[0009] Preferably, the real-time suppression algorithm based on spectral morphology editing is configured as follows: To address the hazards of blue light: instructions are generated to reduce the current intensity of LED chips in the blue light band, while the current of LED chips in other safe bands such as red and amber light is intelligently increased according to a preset ratio. While reducing the weight of blue light hazards, the overall illuminance and color rendering required for emergency lighting are maintained to the maximum extent, avoiding the environment from being too dark or the color from being distorted due to simply reducing the current of blue light chips. To address flicker: Generate instructions to ensure that the intelligent emergency lighting driver and control terminal operates in an adaptive high-frequency drive mode, and dynamically adjust the drive waveform through the feedback monitoring function of the drive circuit to ensure that parameters such as the fluctuation depth of lighting flicker are always below the safety threshold.

[0010] Preferably, the adaptive high-frequency driving technology operates at a frequency greater than 20kHz, fundamentally suppressing visible flicker; the multi-channel LED current precision control module includes a blue chip current control unit, an amber chip current control unit, and a red chip current control unit, which can independently adjust the current of the blue chip, amber chip, and red chip respectively.

[0011] Preferably, the edge computing capability of the central intelligent gateway / controller is configured to: when the network is interrupted, based on the locally stored emergency state-specific hazard assessment model, the real-time suppression algorithm based on spectral morphology editing, and the real-time spectral data and personnel activity status information collected by the high dynamic multi-point spectral sensing network, independently complete the hazard assessment, generate spectral control instructions, and send them to the intelligent emergency lighting driver and control terminal to ensure the safety of the light environment.

[0012] Preferably, the low-light high-sensitivity characteristic of the spectral sensing node is configured such that it can still accurately collect spectral data in the low-light environment of emergency lighting, ensuring the accuracy of subsequent hazard assessment.

[0013] Preferably, the multimodal emergency linkage module is configured to: trigger the system emergency mode for a short time when receiving a fire alarm signal from the fire protection system or an emergency alarm signal from the alarm system, and simultaneously send an emergency start command to the central intelligent gateway / controller. After receiving the command, the central intelligent gateway / controller immediately prioritizes the light health and safety control of the lighting equipment in the passage and exit areas.

[0014] Preferably, the microprocessor unit of the intelligent emergency lighting drive and control terminal is configured to: receive and parse instructions issued by the central intelligent gateway / controller, and send current adjustment signals to the drive circuit to ensure rapid response and control of blue light hazards and flicker.

[0015] Preferably, the blue light hazard alarm threshold correction factor of the emergency state specific hazard assessment model has a value range of 0.6-0.8, and the flicker parameter sensitivity weight correction factor has a value range of 1.2-1.5 when people are moving and a value range of 0.9-1.1 when people are stationary. All correction factors can be adjusted in a personalized manner according to the actual needs of different age-friendly scenarios.

[0016] Compared with existing technologies, the beneficial effects of this invention are as follows: This system addresses the problem of inaccurate low-light spectral sensing. Its high-dynamic multi-point spectral sensing network employs specially designed low-light, high-sensitivity spectral sensing nodes, which can accurately collect spectral data even in emergency low-light environments. Furthermore, the nodes' built-in triaxial accelerometers can synchronously and accurately sense personnel activity, providing a reliable data foundation for subsequent hazard assessment and avoiding inaccurate assessments due to data deviations. Regarding the lack of emergency-corrected assessments, the emergency-specific hazard assessment model running on the central intelligent gateway / controller adds an emergency-state correction factor to the standard calculation model. This allows for adjusting the blue light hazard alarm threshold based on low-light environments and adjusting the sensitivity weight of the flicker parameter according to personnel activity, achieving accurate assessments that fit emergency scenarios and the physiological characteristics of the elderly, thus solving the problem of traditional models being out of touch with actual emergency situations. Defects: To address the issue of imbalanced regulation, the driving circuit of the intelligent emergency lighting driver and control terminal adopts adaptive high-frequency driving technology (suppressing visible flicker) and integrates a multi-channel LED current precision control module. Combined with a real-time suppression algorithm based on spectral morphology editing, it simultaneously increases the current in the safe band while reducing the current in the blue light band. This suppresses blue light hazards while maintaining illuminance and color rendering, avoiding excessively dark environments or color distortion caused by simple regulation. To address the issue of network outage failure, the central intelligent gateway / controller has edge computing capabilities. When the network is interrupted, it can independently complete hazard assessment, command generation, and issuance based on locally stored models, algorithms, and real-time data collected by the sensor network, ensuring uninterrupted light environment protection. Ultimately, it achieves full-process, highly reliable control of light health and safety in emergency scenarios for age-friendly environments, significantly reducing the safety risks faced by the elderly due to light hazards. Attached Figure Description

[0017] To more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are merely exemplary. For those skilled in the art, other embodiments can be derived from the provided drawings without creative effort.

[0018] Figure 1 This is a flowchart of the system workflow of the present invention; Figure 2 This is a system structure diagram of the present invention. Detailed Implementation

[0019] The accompanying drawings are for illustrative purposes only and should not be construed as limiting the scope of this patent. To better illustrate this embodiment, some parts in the accompanying drawings may be omitted, enlarged, or reduced, and do not represent the actual product dimensions. It will be understood by those skilled in the art that certain well-known structures and their descriptions may be omitted in the accompanying drawings.

[0020] The technical solution of the present invention will be further described below with reference to the accompanying drawings and embodiments.

[0021] Example

[0022] This embodiment uses a large-scale integrated medical and elderly care institution as the application scenario. This institution includes diverse spaces such as elderly living areas, rehabilitation training areas, medical diagnosis areas, public activity areas, and emergency evacuation routes. It needs to meet the light health monitoring and control requirements of emergency lighting in different age-friendly scenarios. The following details the implementation of the system from four dimensions: hardware architecture, algorithm implementation, deployment process, and operation mechanism, to ensure the operability and reproducibility of the technical solution.

[0023] Please see Figure 1-2 A real-time assessment system for the hazard of blue light and flicker in age-friendly environments, integrating multi-point spectral sensing, includes: A high dynamic multi-point spectral sensing network is used to collect spectral data in age-friendly environments and simultaneously sense the activity status information of people in the area, including stationary and moving states. The intelligent emergency lighting driver and control terminal is used to receive control commands. It has a built-in micro-processing unit and an advanced driving circuit. The driving circuit adopts adaptive high-frequency driving technology and integrates a multi-channel LED current precision control module, which can independently adjust the current of LED chips in different bands to achieve real-time and precise editing of spectral morphology. The central intelligent gateway / controller is used to aggregate spectral data and personnel activity status information collected by the high dynamic multi-point spectral sensing network, run the emergency state specific hazard assessment model and the real-time suppression algorithm based on spectral morphology editing, issue control commands to the intelligent emergency lighting driver and control terminal, and has edge computing capabilities. It can independently complete the light environment protection decision of the area when the network is interrupted. The multimodal emergency linkage module is used to link with the fire protection system and alarm system to automatically trigger the system's emergency mode. In the emergency mode, priority is given to ensuring the light health and safety of the directional lighting in passageways and exits in age-friendly environments. After receiving information collected by the high dynamic multi-point spectral sensing network, the central intelligent gateway / controller processes the information through an emergency-state specific hazard assessment model to generate blue light and flicker hazard assessment results. When the hazard assessment results exceed the safety threshold, a spectral control command is generated through a real-time suppression algorithm based on spectral morphology editing and sent to the intelligent emergency lighting driver and control terminal. The intelligent emergency lighting driver and control terminal adjusts the current of LED chips in different bands through the driving circuit according to the received spectral modulation command, so as to suppress and control the blue light hazard and flicker. At the same time, the central intelligent gateway / controller locates the area with excessive hazard according to the multi-point data of the high dynamic multi-point spectral sensor network and sends the zoned precise control command to the intelligent emergency lighting driver and control terminal.

[0024] The high dynamic multi-point spectral sensing network includes several specially designed low-light, high-sensitivity spectral sensing nodes. Each spectral sensing node has a built-in triaxial accelerometer to sense the activity status information of people in the area. All spectral sensing nodes adopt a low-power design and can be powered by batteries or connected to an emergency circuit to ensure that they can continue to work and collect spectral data and personnel activity status information in the event of a main power failure.

[0025] The emergency state specific hazard assessment model adds an emergency state correction factor to the standard blue light calculation model and the standard flicker calculation model. The emergency state correction factor includes a blue light hazard alarm threshold correction factor in low-light environment and a flicker parameter sensitivity weight correction factor adjusted according to the status of personnel activities. The emergency-state specific hazard assessment model is configured as follows: In low-light environments, the blue light hazard alarm threshold is appropriately reduced based on the blue light hazard alarm threshold correction factor, because in low-light environments, people's pupils dilate, allowing more blue light to enter the fundus; based on the activity status of people detected by sensors, the sensitivity weight of the flicker parameter is dynamically adjusted through the flicker parameter sensitivity weight correction factor. When people are moving, the sensitivity weight of the flicker parameter is increased, because people are more sensitive to flicker when moving.

[0026] The real-time suppression algorithm based on spectral morphology editing is configured as follows: To address the hazards of blue light: instructions are generated to reduce the current intensity of LED chips in the blue light band, while the current of LED chips in other safe bands such as red and amber light is intelligently increased according to a preset ratio. While reducing the weight of blue light hazards, the overall illuminance and color rendering required for emergency lighting are maintained to the maximum extent, avoiding the environment from being too dark or the color from being distorted due to simply reducing the current of blue light chips. To address flicker: Generate instructions to ensure that the intelligent emergency lighting driver and control terminal operates in an adaptive high-frequency drive mode, and dynamically adjust the drive waveform through the feedback monitoring function of the drive circuit to ensure that parameters such as the fluctuation depth of lighting flicker are always below the safety threshold.

[0027] The adaptive high-frequency driving technology operates at a frequency greater than 20kHz, fundamentally suppressing visible flicker; the multi-channel LED current precision control module includes a blue chip current control unit, an amber chip current control unit, and a red chip current control unit, which can independently adjust the current of the blue chip, amber chip, and red chip respectively.

[0028] The edge computing capability of the central intelligent gateway / controller is configured to: when the network is interrupted, based on the locally stored emergency-state specific hazard assessment model, the real-time suppression algorithm based on spectral morphology editing, and the real-time spectral data and personnel activity status information collected by the high-dynamic multi-point spectral sensing network, independently complete the hazard assessment, generate spectral control instructions, and send them to the intelligent emergency lighting driver and control terminal to ensure the safety of the light environment.

[0029] The low-light high-sensitivity characteristic of the spectral sensing node is configured such that it can still accurately collect spectral data in the low-light environment of emergency lighting, ensuring the accuracy of subsequent hazard assessment.

[0030] The multimodal emergency linkage module is configured to: upon receiving a fire alarm signal or an emergency alarm signal from the fire protection system, trigger the system emergency mode for a short time and simultaneously send an emergency start command to the central intelligent gateway / controller. Upon receiving the command, the central intelligent gateway / controller immediately prioritizes the light health and safety control of the lighting equipment in the passage and exit areas.

[0031] The microprocessor unit of the intelligent emergency lighting drive and control terminal is configured to receive and parse instructions from the central intelligent gateway / controller, and send current adjustment signals to the drive circuit to ensure rapid response and control of blue light hazards and flicker.

[0032] The blue light hazard alarm threshold correction factor of the emergency state specific hazard assessment model has a value range of 0.6-0.8, and the flicker parameter sensitivity weight correction factor has a value range of 1.2-1.5 when people are moving and a value range of 0.9-1.1 when people are stationary. All correction factors can be adjusted in a personalized manner according to the actual needs of different age-friendly scenarios.

[0033] Hardware system architecture and scenario-based configuration The high dynamic multi-point spectral sensing network employs spectral sensing nodes specifically developed for low-light environments. Its core configuration includes a miniature spectral analysis module, motion state sensing components, and a low-power communication unit. By optimizing optical filters and photosensitive elements, the spectral analysis module can accurately capture the spectral distribution of the 400-700nm visible light band under low-brightness conditions in emergency lighting. In particular, it has been specially optimized for the detection accuracy of the blue light band (400-480nm), ensuring that the measurement errors of key parameters such as the proportion of blue light and peak wavelength are controlled within a reasonable range.

[0034] The motion state sensing component integrates a three-axis motion detection element. By analyzing minute vibrations and displacement changes within the area, it can distinguish between a person's stationary state, such as lying down or sitting, and their moving state, such as walking or moving with the aid of a walker. The sensing range can cover a certain area around the node, avoiding misjudgments of the state due to monitoring blind spots.

[0035] The node adopts a dual power supply mode design: during normal operation, it is connected to the emergency lighting power supply circuit of the mechanism. When the main power is interrupted, it automatically switches to the built-in high-energy battery power supply. The battery life can meet the continuous working needs for at least 72 hours, ensuring that data acquisition is uninterrupted in emergency situations. The shell is made of shockproof and waterproof medical-grade materials, and the surface is treated with antibacterial treatment to meet the hygiene requirements of medical areas.

[0036] Network topology and node deployment are planned using a two-tiered logical approach based on functional zoning and risk levels: In the elderly care residential area, one node is placed at the bedside and one in the activity area of ​​each room; in the rehabilitation training area, nodes are densely deployed according to the distribution density of training equipment to ensure that each training point is within the monitoring range; in the medical diagnostic area, additional nodes are placed around the treatment beds and near examination instruments; the public activity area adopts a grid layout to ensure that there are no blind spots in densely populated areas; in emergency evacuation routes, nodes are placed at turns, stairwells, and near safety exits to form a continuous monitoring link. All nodes are networked through a wireless mesh network, with each node having both data acquisition and relay functions, ensuring signal coverage across all areas of the facility. Even if some nodes fail, the network can automatically reconstruct, maintaining overall communication. Physical location information is recorded synchronously during node deployment and stored in the central gateway after being bound to the node ID, providing a spatial coordinate reference for zonal control.

[0037] Intelligent emergency lighting drive and control terminal The core hardware components of the terminal consist of an embedded processing unit, a multi-channel LED driver circuit, and a bidirectional communication module. The embedded processing unit uses a high-performance microcontroller with rapid instruction parsing and execution capabilities, which can convert the control instructions from the central gateway into control signals for the driver circuit in a very short time. The multi-channel driver circuit adopts an adaptive high-frequency drive architecture, with an operating frequency far exceeding the range of human visual perception, reducing the possibility of flickering at the source. The driver circuit integrates three independent current control units, corresponding to the blue, red, and amber LED chipsets, respectively. Each unit can achieve fine current adjustment, and the adjustment accuracy can meet the requirements for fine-tuning the spectral morphology. The terminal has a built-in current sampling feedback module that monitors the dynamic changes of the output current of each channel in real time, forming a closed-loop control to ensure that the current adjustment accuracy is not affected by load changes.

[0038] The existing emergency lighting fixtures of the institution will be modularly upgraded. While retaining the original emergency functions, they will be replaced with composite light sources that include blue, red, and amber light chips. The upgraded fixtures will be connected to a smart driver terminal through a standardized interface. The upgraded fixtures can flexibly adjust the spectral composition according to the terminal's instructions. For example, while reducing the output of blue light, the proportion of red and amber light will be increased simultaneously. This will reduce the harm of blue light and maintain the ambient illuminance and color balance, thus avoiding visual discomfort for the elderly due to changes in light.

[0039] Central intelligent gateway / controller Core processing and storage capabilities: The gateway adopts an industrial-grade embedded platform, equipped with a multi-core processor and a large-capacity storage module. The processor can process data from hundreds of sensor nodes in parallel, while running evaluation models and control algorithms to ensure that data processing latency is kept within an acceptable range. The storage module is divided into a system area, a data area, and an algorithm area, which respectively store the operating system, historical monitoring data, and model algorithm programs. The data area capacity can meet the continuous data storage needs of at least three months and supports automatic backup and cleanup mechanisms.

[0040] The gateway is equipped with multiple communication interfaces, which can communicate with sensor networks, drive terminals, linkage modules and mechanism management systems at the same time. It supports both wired and wireless connection methods to ensure communication stability in complex environments.

[0041] The gateway has a built-in independent edge computing engine, pre-installed with an optimized emergency-specific hazard assessment model and a real-time suppression algorithm based on spectral morphology editing. When the external network is interrupted, the engine automatically starts the local computing mode and independently completes hazard assessment, control decisions and command issuance based on real-time data from sensor nodes. The entire process does not rely on cloud services, ensuring that the system functions are not affected in emergency situations. The local computing results are automatically synchronized to the cloud after the network is restored, ensuring data continuity.

[0042] Multimodal emergency response module Cross-system interface design: The module adopts a standardized interface to interface with institutional fire protection systems, medical call systems, and security systems. It supports multiple signal input types. It communicates with the fire protection system through a dedicated protocol to receive fire alarm signals and specific alarm location information; it interfaces with the medical call system to obtain emergency help signals from the elderly; and it links with the security system to receive abnormal behavior monitoring signals. The module has built-in signal isolation and filtering circuits to effectively eliminate electromagnetic interference between different systems and ensure the accuracy of signal transmission.

[0043] The emergency priority management mechanism has an intelligent priority determination function, which automatically sorts signals according to their type and urgency: fire alarm signals have the highest priority, followed by medical emergency calls, and finally security anomaly signals. When multiple signals are received at the same time, the corresponding emergency procedures are triggered in order of priority, and a linkage instruction containing signal type, location information and timestamp is sent to the central gateway to ensure that emergency resources are prioritized for the most urgent scenarios.

[0044] Algorithm Model and Software Implementation The emergency-specific hazard assessment model is based on international photobiological safety standards and incorporates the visual physiological characteristics of the elderly. The blue light hazard assessment model introduces an age correction coefficient to account for the increased sensitivity of the elderly's retina to blue light with age. The flicker hazard assessment model optimizes the time-frequency response function to adapt to the low tolerance of the elderly's visual system to light intensity fluctuations. The basic model is calibrated through a large amount of measured data in age-appropriate scenarios to ensure that the assessment results are consistent with the actual situation.

[0045] The application mechanism of the emergency correction factor includes two types of dynamic correction factors in the model, enabling scenario-based evaluation: Blue light hazard alarm threshold correction factor: In low-light emergency environments, the pupils of the elderly will naturally dilate to increase the amount of light entering, resulting in an increase in the total amount of blue light entering the fundus. The model automatically calls the corresponding correction factor according to the ambient illuminance to appropriately lower the alarm threshold for blue light hazard, making the system more sensitive to blue light hazard under low light conditions and triggering control measures in advance.

[0046] Flicker parameter sensitivity weight correction factor: dynamically adjusted according to the personnel activity status detected by the sensor node. When personnel are moving, the visual system’s sensitivity to flicker is significantly increased, and the model increases the weight of flicker parameters in the overall hazard assessment. When personnel are stationary, the weight is appropriately reduced to avoid over-adjustment affecting lighting stability.

[0047] The automated execution of the assessment process involves four stages: data preprocessing, parameter extraction, correction calculation, and result determination. First, the raw spectral data collected by the sensor nodes is denoised and normalized. Then, key parameters such as blue light weighted irradiance and flicker fluctuation depth are extracted. Next, corresponding correction factors are called according to the ambient illuminance and personnel status, and substituted into the model to calculate the comprehensive hazard. Finally, the calculation results are compared with the safety threshold to generate an assessment conclusion of safety or exceeding the standard. If the standard is exceeded, the control process is automatically triggered.

[0048] Real-time suppression algorithm based on spectral morphology editing The blue light hazard control strategy involves the following steps: When the assessment model determines that the blue light hazard exceeds the standard, the algorithm generates a control plan based on the principles of precise blue light reduction and safe supplemental lighting. First, the target reduction ratio is calculated according to the degree of blue light exceeding the standard to ensure that the reduction can effectively reduce blue light hazard without disrupting the spectral balance. Then, based on the preset spectral compensation coefficient, the ratio of red light to amber light enhancement is determined to keep the total luminous flux within the range required for emergency lighting.

[0049] The compensation coefficient was determined through extensive preliminary experiments, taking into account both light health and visual comfort—for example, in the rehabilitation training area, the proportion of red light is appropriately increased to enhance the warmth of the environment; in the medical diagnosis area, a higher proportion of amber light is maintained to improve color recognition and meet the needs of diagnosis and treatment.

[0050] The closed-loop control for flicker suppression employs an algorithm that suppresses flicker through a closed-loop process of real-time monitoring, dynamic adjustment, and effect verification: It continuously receives current fluctuation data from the drive terminal and analyzes the depth and frequency of flicker fluctuations; when flicker parameters exceed the safe range, it immediately generates a high-frequency drive maintenance command to ensure the drive circuit operates in a preset high-frequency mode; simultaneously, it fine-tunes the rising and falling edges of the drive signal using a waveform optimization algorithm to reduce fluctuations caused by sudden current changes; after adjustment, it verifies the flicker suppression effect through sensor nodes until the parameters meet the standards, ensuring that the visual system of elderly individuals does not perceive noticeable flicker.

[0051] System deployment and debugging process: Before installation, a detailed site survey is conducted. Based on the building drawings and the activity patterns of the elderly, the installation location, quantity, and wiring scheme of each hardware device are determined. Special installation plans are developed for special circumstances such as the sterility requirements of the medical area and the equipment layout of the rehabilitation area. Construction personnel are trained on the construction specifications for age-friendly environments, with a focus on avoiding disruption to the normal lives of the elderly and ensuring construction safety.

[0052] First, deploy the central intelligent gateway, selecting the agency's monitoring center or low-voltage room as the installation location, and connect the power supply and the main communication line; then install the spectral sensor nodes, fixing them at the preset locations, adjusting the angles to ensure the monitoring range is maximized, and connect them to the power supply and communication modules; next, install the intelligent emergency lighting driver terminal, connect it to the modified lighting fixtures, and complete the electrical debugging; finally, install the multimodal emergency linkage module and complete the interface docking with fire protection, medical call and other systems.

[0053] After the equipment is installed, network configuration is performed: add all sensor nodes and driver terminals through the gateway management interface, and assign network addresses and communication parameters; configure the correspondence between nodes and lighting equipment, and establish a mapping table of monitoring area-sensor node-driver terminal; test network communication quality, and add repeater devices in areas with weak signals to ensure stable data transmission.

[0054] Each device was tested individually: for the sensor nodes, the spectral acquisition accuracy was tested under different lighting conditions, and the accuracy of status recognition was verified by simulating human activity; for the drive terminals, different control commands were issued to test the current adjustment accuracy and response speed of each band; for the central gateway, the data processing capability, model operation accuracy, and edge computing function were verified; for the linkage module, various alarm signals were simulated to test the timeliness and accuracy of the linkage response.

[0055] Conduct full-system linkage testing: In normal mode, verify the accuracy of the model's assessment of the light environment in each area; simulate blue light exceeding the standard to test the algorithm's control effect and the execution accuracy of the driving terminal; simulate flicker exceeding the standard to verify the effectiveness of the flicker suppression algorithm; trigger a fire alarm signal to test the system's emergency mode switching and channel lighting priority control functions; simulate a network interruption scenario to verify the gateway's edge computing capabilities.

[0056] Real-world scenario verification: Invite elderly people of different ages and health conditions within the institution to participate in scenario experiences: Collect feedback from the elderly on the comfort of the light environment in daily activities and emergency evacuation scenarios; observe the visual reactions of the elderly before and after adjustment, and record whether there are discomfort symptoms such as dizziness or blurred vision; optimize system parameters based on feedback, such as adjusting the spectral compensation ratio and correction factor values, to ensure that the system is adapted to the actual perceptual needs of the elderly.

[0057] In routine monitoring mode, the system is in a continuous monitoring state under normal circumstances. Spectral sensor nodes collect spectral data and personnel activity status of each area at fixed intervals and transmit them to the central gateway via wireless network. The gateway runs an assessment model at regular intervals to assess the hazard of blue light and flicker in each area and displays the assessment results in real time on the organization's management platform, presenting the light environment safety status of each area in the form of a heat map.

[0058] When the system detects that people in a certain area have changed from stationary to moving (such as an elderly person getting up to take a walk), the model automatically increases the evaluation weight of the flicker parameter in that area; if the light environment parameters of all areas are within the safe range, the system maintains the current lighting state and only records historical data for trend analysis.

[0059] The process for controlling excessive blue light hazard involves the central gateway generating an assessment model to determine if excessive blue light hazard is detected by sensor nodes in public activity areas, and triggering a suppression algorithm when multiple elderly people are moving around in the area.

[0060] The algorithm calculates control parameters based on the degree of exceedance: for example, if the blue light current needs to be reduced by 25%, while the red light and amber light currents are increased at a ratio of 1:0.8 to ensure that the overall illuminance remains unchanged, the control command is sent to the smart drive terminal in the area through the network. After the terminal parses the command, it adjusts the current of each band of LED chip and feeds back the execution result to the gateway.

[0061] The gateway verifies the control effect through real-time data from the sensor nodes. If the blue light hazard has been reduced to a safe range, the control ends; if it still does not meet the standard, the algorithm recalculates the control parameters and generates secondary instructions until the hazard is eliminated, ensuring the safety of the light environment in the activity area of ​​the elderly.

[0062] Emergency Response Scenario: When a fire occurs on a floor of the facility, the fire protection system sends an alarm signal. Upon receiving the signal, the multimodal emergency response module immediately triggers the system's emergency mode and sends an emergency command containing the alarm location to the central gateway.

[0063] Upon receiving the instruction, the gateway immediately activates the emergency response plan: prioritizing the inclusion of lighting equipment in the evacuation routes, safety exits, and stairwells of that floor into the control scope, and quickly adjusting the spectral parameters of these areas through the drive terminal—reducing the proportion of blue light to below the safety threshold, increasing the proportion of red light to enhance environmental visibility, and ensuring that the lighting brightness meets evacuation requirements.

[0064] If the external network is interrupted at this time, the gateway will automatically switch to edge computing mode and independently complete the assessment and control based on local data to ensure the safety of the optical environment along the evacuation route. After the emergency is lifted, the system will automatically resume normal mode and generate an emergency event report to record the control process and effect.

[0065] The system is adapted for special scenarios. For special areas such as medical diagnosis areas, the system supports custom parameter configuration: medical staff can adjust the safety thresholds of blue light and flicker through the management platform and modify the range of correction factor values ​​to make the assessment model more in line with the needs of medical scenarios. For example, in the ophthalmology examination room, a lower blue light safety threshold can be set; in the rehabilitation training area, the flicker sensitivity weight in motion can be increased. The parameter adjustment takes effect immediately without the need for a system restart, meeting the personalized needs of different medical scenarios.

[0066] This embodiment ensures the operability and reproducibility of the technical solution through scenario-based hardware configuration, refined algorithm implementation, full-process installation and debugging, and multi-scenario operation verification. Through the collaborative work of various modules, the system realizes real-time monitoring, accurate assessment, and intelligent control of blue light and flicker hazards in emergency lighting for age-friendly environments, providing a safe and comfortable light environment for the elderly. In particular, it can effectively reduce the impact of light environment factors on the evacuation safety of the elderly in emergency scenarios.

[0067] The same or similar labels correspond to the same or similar parts; The terms used to describe positional relationships in the accompanying drawings are for illustrative purposes only and should not be construed as limiting this patent. Obviously, the above embodiments of the present invention are merely examples for clearly illustrating the present invention, and are not intended to limit the implementation of the present invention. For those skilled in the art, other variations or modifications can be made based on the above description. It is neither necessary nor possible to exhaustively list all implementation methods here. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention should be included within the protection scope of the claims of the present invention.

Claims

1. A real-time assessment system for the hazard of blue light and flicker in age-friendly environments, integrating multi-point spectral sensing, characterized in that, include: A high dynamic multi-point spectral sensing network is used to collect spectral data in age-friendly environments and simultaneously sense the activity status information of people in the area, including stationary and moving states. The intelligent emergency lighting driver and control terminal is used to receive control commands. It has a built-in micro-processing unit and an advanced driving circuit. The driving circuit adopts adaptive high-frequency driving technology and integrates a multi-channel LED current precision control module, which can independently adjust the current of LED chips in different bands to achieve real-time and precise editing of spectral morphology. The central intelligent gateway / controller is used to aggregate spectral data and personnel activity status information collected by the high dynamic multi-point spectral sensing network, run the emergency state specific hazard assessment model and the real-time suppression algorithm based on spectral morphology editing, issue control commands to the intelligent emergency lighting driver and control terminal, and has edge computing capabilities. It can independently complete the light environment protection decision of the area when the network is interrupted. The multimodal emergency linkage module is used to link with the fire protection system and alarm system to automatically trigger the system's emergency mode. In the emergency mode, priority is given to ensuring the light health and safety of the directional lighting in passageways and exits in age-friendly environments. After receiving information collected by the high dynamic multi-point spectral sensing network, the central intelligent gateway / controller processes the information through an emergency-state specific hazard assessment model to generate blue light and flicker hazard assessment results. When the hazard assessment results exceed the safety threshold, a spectral control command is generated through a real-time suppression algorithm based on spectral morphology editing and sent to the intelligent emergency lighting driver and control terminal. The intelligent emergency lighting driver and control terminal adjusts the current of LED chips in different bands through the driving circuit according to the received spectral modulation command, so as to suppress and control the blue light hazard and flicker. At the same time, the central intelligent gateway / controller locates the area with excessive hazard according to the multi-point data of the high dynamic multi-point spectral sensor network and sends the zoned precise control command to the intelligent emergency lighting driver and control terminal.

2. The real-time assessment system for blue light and flicker hazards in age-friendly environments integrating multi-point spectral sensing as described in claim 1, characterized in that, The high dynamic multi-point spectral sensing network includes several specially designed low-light, high-sensitivity spectral sensing nodes. Each spectral sensing node has a built-in triaxial accelerometer to sense the activity status information of people in the area. All spectral sensing nodes adopt a low-power design and can be powered by batteries or connected to an emergency circuit to ensure that they can continue to work and collect spectral data and personnel activity status information in the event of a main power failure.

3. The real-time assessment system for blue light and flicker hazards in age-friendly environments integrating multi-point spectral sensing as described in claim 1, characterized in that, The emergency state specific hazard assessment model adds an emergency state correction factor to the standard blue light calculation model and the standard flicker calculation model. The emergency state correction factor includes a blue light hazard alarm threshold correction factor in low-light environment and a flicker parameter sensitivity weight correction factor adjusted according to the status of personnel activities. The emergency-state specific hazard assessment model is configured as follows: In low-light environments, the blue light hazard alarm threshold is appropriately reduced based on the blue light hazard alarm threshold correction factor, because in low-light environments, people's pupils dilate, allowing more blue light to enter the fundus; based on the activity status of people detected by sensors, the sensitivity weight of the flicker parameter is dynamically adjusted through the flicker parameter sensitivity weight correction factor. When people are moving, the sensitivity weight of the flicker parameter is increased, because people are more sensitive to flicker when moving.

4. The real-time assessment system for blue light and flicker hazards in age-friendly environments integrating multi-point spectral sensing as described in claim 1, characterized in that, The real-time suppression algorithm based on spectral morphology editing is configured as follows: To address the hazards of blue light: instructions are generated to reduce the current intensity of LED chips in the blue light band, while the current of LED chips in other safe bands such as red and amber light is intelligently increased according to a preset ratio. While reducing the weight of blue light hazards, the overall illuminance and color rendering required for emergency lighting are maintained to the maximum extent, avoiding the environment from being too dark or the color from being distorted due to simply reducing the current of blue light chips. To address flicker: Generate instructions to ensure that the intelligent emergency lighting driver and control terminal operates in an adaptive high-frequency drive mode, and dynamically adjust the drive waveform through the feedback monitoring function of the drive circuit to ensure that parameters such as the fluctuation depth of lighting flicker are always below the safety threshold.

5. The real-time assessment system for blue light and flicker hazards in age-friendly environments integrating multi-point spectral sensing as described in claim 1, characterized in that, The adaptive high-frequency driving technology operates at a frequency greater than 20kHz, fundamentally suppressing visible flicker; the multi-channel LED current precision control module includes a blue chip current control unit, an amber chip current control unit, and a red chip current control unit, which can independently adjust the current of the blue chip, amber chip, and red chip respectively.

6. The real-time assessment system for blue light and flicker hazards in age-friendly environments integrating multi-point spectral sensing as described in claim 1, characterized in that, The edge computing capability of the central intelligent gateway / controller is configured to: when the network is interrupted, based on the locally stored emergency-state specific hazard assessment model, the real-time suppression algorithm based on spectral morphology editing, and the real-time spectral data and personnel activity status information collected by the high-dynamic multi-point spectral sensing network, independently complete the hazard assessment, generate spectral control instructions, and send them to the intelligent emergency lighting driver and control terminal to ensure the safety of the light environment.

7. The real-time assessment system for blue light and flicker hazards in age-friendly environments integrating multi-point spectral sensing as described in claim 2, characterized in that, The low-light high-sensitivity characteristic of the spectral sensing node is configured such that it can still accurately collect spectral data in the low-light environment of emergency lighting, ensuring the accuracy of subsequent hazard assessment.

8. The real-time assessment system for blue light and flicker hazards in age-friendly environments integrating multi-point spectral sensing as described in claim 1, characterized in that, The multimodal emergency linkage module is configured to: upon receiving a fire alarm signal or an emergency alarm signal from the fire protection system, trigger the system emergency mode for a short time and simultaneously send an emergency start command to the central intelligent gateway / controller. Upon receiving the command, the central intelligent gateway / controller immediately prioritizes the light health and safety control of the lighting equipment in the passage and exit areas.

9. The real-time assessment system for blue light and flicker hazards in age-friendly environments integrating multi-point spectral sensing as described in claim 1, characterized in that, The microprocessor unit of the intelligent emergency lighting drive and control terminal is configured to receive and parse instructions from the central intelligent gateway / controller, and send current adjustment signals to the drive circuit to ensure rapid response and control of blue light hazards and flicker.

10. The real-time assessment system for blue light and flicker hazards in age-friendly environments integrating multi-point spectral sensing as described in claim 3, characterized in that, The blue light hazard alarm threshold correction factor of the emergency state specific hazard assessment model has a value range of 0.6-0.8, and the flicker parameter sensitivity weight correction factor has a value range of 1.2-1.5 when people are moving and a value range of 0.9-1.1 when people are stationary. All correction factors can be adjusted in a personalized manner according to the actual needs of different age-friendly scenarios.

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