19255 results about "Light fixture" patented technology

The invention provides a self-adaptive brightness adjustment method for an LED backlight source, and the method comprises the steps: obtaining the intensity and spectral distribution information of downward natural light and an indoor lamp light source in real time through a light sensor, carrying out the light source superposition, calculating the total light intensity and spectral distribution, judging whether the self-adaptive adjustment condition is met or not, and if yes, adjusting the brightness of the LED backlight source. If yes, triggering an LED backlight brightness adjusting process; detecting the actual brightness of each to-be-adjusted unit in real time, comparing the actual brightness with the optimized target brightness value, calculating a brightness error, introducing a machine learning algorithm to learn and predict error data in real time, and dynamically adjusting the PWM duty ratio of the to-be-adjusted unit; and continuously obtaining evaluation feedback data of the user on the display image quality, and performing clustering analysis on the evaluation feedback data through an optimized unsupervised learning algorithm to generate a brightness adjustment curve adapted to different user preferences.

To provide a vehicular lighting tool having a snow melting function without degrading a design thereof.SOLUTION: A vehicular lighting tool includes: a lamp body opened in front; a lamp cover made of a translucent member and forming a lighting chamber by being attached to an opening of the lamp body; an extension member stored in the lighting chamber and arranged facing an inner surface of the lamp cover to hide an internal mechanism inside the lighting chamber from outside; and a heat generation member installed on the inner surface of the lamp cover and generating heat by power supply. A color of the heat generation member matches with a color of a facing surface of the extension member against the lamp cover. By using a heat generation member having the color matched with the extension member which is a background when viewed from a front side of the vehicle lighting tool, a degradation in design of the vehicular lighting tool is suppressed by preventing the heat generation member from being visible.SELECTED DRAWING: Figure 1

The invention discloses an intelligent building energy-saving management method and system based on a digital twinning technology, and relates to the field of digital twinning technologies, and the method comprises the steps: building a three-dimensional building model based on a building information model and three-dimensional laser scanning point cloud data, and generating a twinning database through multi-source equipment data fusion; performing energy consumption simulation modeling according to the lamp dimming parameters, the air conditioner performance curve and the elevator operation log in the twin database to generate an energy consumption reference report; acquiring personnel density and environment parameters, and generating a building environment state matrix mapped with the twin database after space-time calibration; and establishing a hierarchical threshold value control strategy library based on the building energy consumption reference report and the building environment state matrix, and generating an optimization control strategy set through the equipment linkage relation matrix. According to the method, by embedding a Pareto optimal solution screening mechanism and equipment mutual exclusion rule verification, the daily average energy consumption is reduced on the premise that the comfort reaching rate of the optimal control parameter packet is ensured.

The invention belongs to the technical field of intelligent lighting, and discloses an intelligent adjustment method and system for the spectrum of a quantum dot light-emitting lamp. The objective of the invention is to solve the problem that an existing lighting system cannot meet personalized healthy lighting requirements. The method comprises the following steps: firstly, acquiring user biological rhythm, environment spectrum, use scene, user preference and physiological health data through multi-dimensional data acquisition, and constructing a feature data set; then human factor optical feature extraction and cross-situation demand analysis are carried out, and a spectral response model is established; carrying out quantum dot material photoelectric characteristic mapping and spectrum synthesis modeling based on the model, and determining a luminescence parameter space; constructing a spectrum optimization model, performing multi-objective optimization by comprehensively considering visual comfort, energy efficiency and health influence, and generating a dynamic spectrum regulation and control strategy; closed-loop verification and adaptive optimization are carried out based on real-time physiological feedback, and an intelligent spectrum adjustment scheme is formed. According to the invention, the advantage of spectrum adjustability of the quantum dot material is fully exerted, and real personalized intelligent illumination is realized.

The invention provides a cooperative control method and system for a distributed intelligent lamp network, and the method comprises the steps: obtaining the real-time operation state data of each lamp in the intelligent lamp network, recognizing the failure position of the lamp, generating a fault node coordinate according to the failure position of the lamp, and obtaining the distribution information of the failure lamp; extracting spatial position data and current illumination parameters of surrounding lamps according to the distribution information of the failed lamps, calculating an illumination dead angle range and a local illumination decline region by adopting a geometric algorithm, and determining an affected light environment region range; acquiring communication time delay and response rate between the lamps, and if the communication time delay exceeds a preset time delay threshold, reducing the adjustment frequency and reallocating the compensation task to obtain an optimized cooperative compensation scheme; and extracting residual range data of the illumination dead angle according to the adjusted illumination distribution result, carrying out secondary adjustment on the illumination angle and the luminous intensity through an iterative algorithm, and determining a light environment continuity parameter after the illumination dead angle is eliminated.

The invention relates to the technical field of smart lighting, in particular to a smart lighting decision optimization method based on big data, which comprises the following steps of: firstly, acquiring data of a lighting area in real time, performing spatial-temporal feature extraction on the data, the method comprises the steps of generating a region illumination demand feature vector based on a real-time feature vector, then generating a dynamic illumination optimization strategy based on a reinforcement learning model in combination with a historical illumination strategy library and the real-time feature vector, and finally adjusting brightness parameters and spectral distribution of each intelligent lamp in a region according to the dynamic illumination optimization strategy. According to the method, the data of the illumination area is collected in real time, the optimization strategy is dynamically generated in combination with the reinforcement learning model, illumination requirements of different time periods and different areas can be accurately matched, and therefore the problem that in the prior art, real-time optimization of the illumination strategy in the dynamic environment is insufficient is effectively solved.

The invention relates to the technical field of intelligent control, and discloses a light control method and system, a controller and a storage medium, and the method comprises the steps: collecting ambient light, human traffic and user preference data through multi-sensor fusion; after normalization processing, inputting a reinforcement learning model to dynamically calculate target brightness and color temperature, and generating a control instruction to adjust a lamp; and optimizing model parameters in combination with user feedback. The system integrates a data acquisition module, an intelligent processing module, a regulation and control execution module and a feedback optimization module to form a closed-loop control chain. The controller supports PWM dimming and a DMX512 protocol, an emergency module is arranged in the controller, and illumination is maintained according to a historical mean value when communication is interrupted. Through high-precision environment perception calibration, a multi-target dynamic dimming strategy, an intelligent closed-loop learning mechanism and a distributed fault-tolerant control system, the long-standing core problems of light sensation drift, strategy adaptation stiffness, strong cold start dependence, poor cluster stability and the like in the field of intelligent illumination are systematically solved.

The invention relates to the technical field of automatic induction, and discloses an automatic induction lamplight angle adjustment control method and device and lighting equipment. The method comprises the following steps: acquiring ambient light parameters in real time to obtain ambient light sensing data; performing multi-scale space division and feature fusion on the ambient light sensing data to obtain a three-dimensional ambient light distribution diagram; inputting the three-dimensional ambient light distribution diagram into a light angle calculation network for light change characteristic analysis to obtain a light optimal angle parameter group; performing smooth transition light sequence calculation according to the light optimal angle parameter group and the current light configuration state to obtain a sectional light adjustment control instruction; and performing motion path planning on the end effector of the lamp based on the sectional light adjustment control instruction to obtain an effector motion instruction set. According to the invention, light change characteristics of different spatial scales can be captured at the same time, and the adjustment accuracy and adaptability of the actuator are improved.

A universal mounting system for a hard hat is provided that includes front and rear mounting locations and auxiliary ridges on either side. A visor is coupled to the hard hat mounting system in such a way as to provide access with minimal interference from the visor to the equipment attached to the mounting locations and ports in the auxiliary ridges. Various embodiments of visors enable modular designs that incorporate different materials and features of the visor. Parallel stretch zones enable folding and holding opposite brims of the visor. Enclosed elastic areas along the inner sides of visor provide user access to auxiliary ridges. Combinations of various accessories on hard hat and how the accessories work together on the universal mounting system are discussed: such as the interaction between visors, earmuffs, face shields, and lamps.

The invention discloses a matrix layout illumination state detection method, device and equipment, and the method comprises the steps: collecting and analyzing a power supply bus current waveform and a single lamp feedback signal, and generating a node feature cluster; extracting a power consumption difference value of adjacent lamps, identifying an abnormal observation point and constructing a fault diffusion chain; marking a timestamp for the fault diffusion chain, determining a fault source, and marking current by injecting characteristics to delimit an influence domain; deploying monitoring anchor points at the boundary of the influence domain, collecting the light color parameter variation and predicting the residual life; extracting the oscillation envelope of the starting current peak, evaluating the health degree of the driver and generating a maintenance density field; and a three-dimensional detection field is constructed by fusing multi-dimensional detection data, singular points are searched, and coordinates of a fault lamp are accurately analyzed through fault positioning pulses. According to the invention, three-dimensional monitoring from electrical characteristics and optical performance to driver states is realized, a single lamp fault can be accurately positioned, a life trend can be predicted, fault propagation can be tracked, and technical support is provided for intelligent operation and maintenance of a large-scale illumination system.

The invention relates to the technical field of energy efficiency optimization, and discloses a lamp energy efficiency optimization method based on artificial intelligence, and the method comprises the steps: data collection: carrying out the all-around and multi-dimensional data collection of an environment where a lamp is located through a plurality of sensors. According to the lamp energy efficiency optimization method based on artificial intelligence, in order to make energy utilization efficient, the multi-dimensional environment and lamp operation data are obtained through the data acquisition step, optimization is carried out in combination with the adaptive learning algorithm, lamp energy efficiency control parameters can be adjusted in real time according to different environments, places, time periods and other situations, and the energy efficiency optimization efficiency is improved. The lamp can be kept in the optimal energy efficiency state in various complex and changeable environments, the energy utilization efficiency of the lamp is effectively improved, energy waste is reduced, in the scene-based energy efficiency optimization link, for different application scenes, differentiation strategies are implemented according to respective typical lighting requirements and energy-saving potentials, parameters such as lamp brightness are accurately adjusted, and the energy efficiency of the lamp is improved. And the energy utilization efficiency of the lamp in various scenes is improved.

The invention relates to the technical field of LED dimming control, in particular to an LED ceiling lamp control system based on dynamic light source adjustment, which comprises a brightness sensing module, a dimming decision module, a light source regulation and control module, an anomaly detection module and a brightness optimization module. According to the invention, the operation load of the lamp is dynamically measured and calculated by combining ambient light and thermal radiation data, the collaborative perception of illumination intensity and thermal energy distribution is realized, the response sensitivity to weak brightness change is improved by comparing the brightness demand with the real-time output deviation and accurately identifying the dimming trigger condition, and the response sensitivity to weak brightness change is improved by comparing the initial brightness with the feedback difference value. The brightness of a plurality of lamps can be adjusted coordinately, the spatial light environment is kept stable and consistent, overload and temperature rise abnormity can be checked and abnormal lamps can be identified by combining current fluctuation and temperature abrupt change analysis, an intervention record and reaction duration comparison mechanism is introduced into a regulation and control instruction, the response efficiency is improved, and the efficiency is improved. And brightness priority adjustment and overall illumination balance control of the key area are realized.

A stage light fixture with a light head having external heat dissipation includes a light head for projecting light beams, which is formed as a cylinder with a light outlet which is covered by a light emitting lens, and a support arm for supporting the light head to rotate via a pivoting shaft. At least one first blower is provided in the support arm, which is configured to blow air around the light head to flow and thus cool the light head. According to the present invention, active heat dissipation is formed and enclosed interior of the cylinder is simultaneously ensured without damage to the existed structure of the light head. The light head thus can be effectively cooled in a way that the air around the light head is blown to flow and promptly entrain the heat on the side wall thereof via the first blower.

A light fixture with convenient assembling, which includes a base, a circuit board with a light source, a body and a light-transmitting shade. The body and the shade are integrally formed, the circuit board is arranged on a connecting ring and embedded on an inner wall of the body, and the body is embedded on an inner wall of the base. In the disclosure, the shade and the body are provided in an integrated structure, which does not require subsequent adhesive or ultrasonic hot melting assembly and fixation, can simplify an assembly process, and exhibits stable and reliable quality. By providing the circuit board on the connecting ring and providing a guide clamping protrusion and a guide clamping groove, it is convenient to quickly clamp the connecting ring and the circuit board to the base and avoid relative rotation between them, thus ensuring smooth circuit connection.

An easy-to-use pulse light hair removal device comprising a main shell, a lamp tube assembly, a fixing frame, a PCBA board, a head shell, and a lamp head assembly; the lamp head assembly is detachably connected to the head shell, with a head cooling cavity corresponding between an upper fixing plate, a lower mounting plate, and the filter within the lamp head assembly, an air suction cavity formed between the lower mounting plate and the mainboard, and an air outlet cavity formed between the lower mounting plate and the lower shell, the mainboard at the ends corresponding to the lamp tube assembly is equipped with elastic lamp tube holders, and a reflector cup fixing spring is situated between the upper fixing plate and the lower mounting plate. The device facilitates the automatic recognition of interchangeable lamp heads, ensures comprehensive cooling of the entire device to maintain effective heat dissipation.

The invention relates to the technical field of virtual modeling, in particular to a lamp arrangement method and system based on virtual modeling and a medium. The method comprises the following steps: obtaining dynamic monitoring data of a target space, wherein the dynamic monitoring data comprises real-time illumination intensity data, people flow density data and ambient light change data; performing prediction modeling on the illumination demand of the target space according to the dynamic monitoring data to obtain illumination demand prediction data including expected illumination requirements and light distribution characteristics in different time periods; the adaptive light propagation grid is constructed in the digital twinborn space based on the illumination demand prediction data, grid division data are obtained, and the adaptive light propagation grid has high grid density in a region with severe illumination change and low grid density in a region with smooth illumination change. According to the method, comprehensive illumination analysis and evaluation can be carried out in the initial stage of design, and blindness and low efficiency in a traditional design method are avoided.

The invention relates to a cross-space cooperative illumination control method, a sound box, a system and a medium, and belongs to the technical field of lamp control, and the method comprises the steps: obtaining the network signal intensity of a user mobile terminal in real time under the condition that an illumination device in a target sub-region where a user is currently located is in an on state; when the network signal intensity changes beyond the preset range, acquiring a plurality of connection signal intensities with the mobile terminal in the next period of time, and calculating real-time position parameters of the user according to all the network signal intensities and all the connection signal intensities; obtaining movement prediction data of the user according to the change condition of the real-time position parameter; generating a control instruction based on the movement prediction data; sending the control instruction to the lighting device of the corresponding target sub-area; the illumination of each area can be automatically adjusted according to the change of the position of the user, so that the user is prevented from frequently inputting instructions when moving in different spaces, and the user experience is improved.

The invention discloses a multi-scene linkage smart home lamp cloud collaborative management system and method, and particularly relates to the technical field of smart home management, and the method comprises the following steps: collecting operation parameters of a low-power-consumption Bluetooth communication link, and generating an interference judgment value through a machine learning model, so as to judge whether electromagnetic interference exists or not; and if interference is detected, calculating an interference intensity index and an influence breadth index, and classifying interference levels through a logical reasoning model. According to the interference level, a communication link is optimized or switched to a cloud collaborative link, stable communication, state synchronization and instruction execution of the system in multi-scene linkage are ensured, and the control reliability of the smart home lamp is improved; through real-time interference judgment and dynamic link optimization, the communication stability of the smart home lamp system in a complex environment is improved, timely execution and state synchronization of a control instruction are ensured, and high efficiency and reliability of multi-scene linkage control are realized in combination with cloud collaborative management.

The invention relates to the technical field of electronic circuit detection, in particular to a detection method for checking abnormal work of a lamp, which comprises the following steps: acquiring the consistency of a lighting state and voltage, extracting abnormal response, checking power supply connection and checking non-response, monitoring and controlling the relationship between output and current action starting, and analyzing response continuity. And detecting branch voltage difference change and direction, monitoring voltage jump and current response starting point performance, extracting response data, and obtaining a classification result. According to the invention, through cooperative detection of voltage and current response behaviors, in combination with path voltage difference direction change and time sequence characteristics, a load abnormal response section is identified step by step, the abnormal state identification capability is enhanced, an action time sequence cross validation mode is adopted to replace a traditional static judgment process, misjudgment interference is reduced, and manual intervention requirements are reduced; therefore, the detection process is more continuous, the related operation is universal, the method can be suitable for various lamp structures, the troubleshooting precision is improved, and the execution cost is controlled at the same time.

The invention discloses a highway tunnel lighting intelligent control method and system based on the Internet of Things, a sensing module is composed of a millimeter wave radar vehicle detector, a tunnel interior brightness sensor, a tunnel exterior brightness sensor and a vehicle speed detector, and a transmission module is a dual-mode communication module composed of a Zigbee wireless network module and a power line carrier communication module. A fuzzy control algorithm library is built in an edge computing gateway of the control module and is used for fusing data of the sensing module in real time and generating a dimming instruction, and each Internet of Things segmentation controller of the control module manages a plurality of lamps and is internally provided with a fault isolation circuit; and an intelligent management platform is arranged in the application module and is used for receiving an instruction of the control module and generating a dynamic dimming strategy. According to the invention, the millimeter-wave radar and video tracking data fusion, Zigbee + PLC dual-mode transmission and edge gateway self-learning algorithm are combined; according to the invention, the defects of the traditional scheme in the aspects of real-time performance, reliability, energy efficiency ratio and operation and maintenance cost can be systematically solved.

The invention belongs to the field of illumination light control, and relates to a dynamic tunnel illumination optimization method based on driver visual adaptation characteristics, which comprises the following steps of: establishing a relation model between a driver pupil area and ambient illuminance in a tunnel, and calculating a pupil area change rate according to the driver pupil area; establishing a corresponding relationship among the average glancing speed, the pupil area change rate and the ambient light in the tunnel according to the historical data; constructing a calculation model of the total average illumination of the lamps on the road surface in the tunnel based on the natural illumination outside the tunnel and the average horizontal illumination of the lamps on the road surface; an energy consumption and light pollution objective function and a driver psychological load objective function are established based on parameters such as total average illumination of lamps on a road surface in a tunnel and the length from an entrance or an exit, and multi-source data such as illumination, brightness, lamp power, pupil change rate and glancing speed are deeply fused, so that human-vehicle-environment multi-dimensional collaborative optimization is realized. The driving safety and the visual comfort of a driver are improved, and meanwhile, the energy consumption is considered.

The present invention discloses an optical module with adjustable polarization, which can be generically assembled in a lamp body assembly. The optical module with adjustable polarization includes a polarization lens body, and a hollow first cylinder and a second cylinder. One end of the first cylinder is detachably and rotatably connected to one end of the second cylinder. The polarization lens body is rotatably arranged in the inner cavity of the first cylinder. The polarization lens body is provided with a guiding and positioning portion at the edge perpendicular to the rotation axis. The second cylinder is provided with an inclined guiding slot hole, and the guiding and positioning portion is slidably connected with the guiding slot hole. The second cylinder is provided with a first engaging portion for detachably and rotatably connecting with the lamp body assembly. The present invention utilizes the first engaging portion on the second cylinder to assemble the optical module on the lamp body assembly, so that by rotating the first cylinder and the second cylinder, the polarization lens body can be deflected and rotated, enabling the light to be deflected by the polarization lens body and changing the irradiation angle, thereby realizing the adjustment of polarization in a limited space and completing the change of optical effects.

The invention discloses an atmosphere lamp user color calibration matching method. The method comprises the steps that K PCBA boards are installed on a lamp shell; measuring a color coordinate value and a luminous flux value of the atmosphere lamp; the color coordinate value and the luminous flux value of any atmosphere lamp serve as color correction data, and the pwm duty ratio is calculated; the controller controls the LED driver to drive the K atmosphere lamps to complete primary color correction; the PCBA board in any atmosphere lamp is taken out, and the actually measured luminous flux value of the PCBA board is measured; comparing the actually measured luminous flux value with a target luminous flux value to obtain a ratio r; increasing the target luminous flux value Yt by r times, and calculating a pwm target duty ratio in combination with color correction data; the controller controls the LED driver to drive the K atmosphere lamps to complete secondary color correction; and the color coordinate value and the luminous flux value of the atmosphere lamp after color correction are measured and compared with customer standards. The method has the advantages that assembly user color adjustment of multiple styles of atmosphere lamps is achieved, the matching degree of chromatic value control of the atmosphere lamps and real environment requirements is met, the production time cost is greatly saved, and the production efficiency is improved.

The invention discloses an energy-saving stage lamp moving and steering control adjusting device and a using method, and relates to the technical field of wastewater treatment.The energy-saving stage lamp moving and steering control adjusting device comprises a mounting base, a rotating base is arranged at the top of the mounting base, a lamp is arranged in the rotating base, and a rotating rod is fixedly connected to the bottom of the rotating base; according to the scheme, the memory metal wire can be lengthened along with the change of the temperature, so that the amplitude of rotation of the insulation cover driven by the traction piece is changed along with the change of the temperature; therefore, when the temperature is higher, the exposed area of a through groove formed in the outer side of the insulating cover and a groove formed in the inner side of the fixing ring is larger, the magnetic force borne by the first magnetic plate is larger, then the amount of liquid sprayed by the lubricating assembly is larger, and automatic adaptive adjustment is carried out.

The invention relates to the technical field of power supply electric quantity monitoring, in particular to an elevator emergency power supply electric quantity monitoring method and system. The method comprises the following steps: collecting emergency state starting time data; performing real-time battery electric quantity measurement on the emergency power supply battery according to the emergency state starting time data to obtain emergency power supply electric quantity measurement data; step pulse power supply testing is conducted on the elevator emergency lighting lamp, and multiple sets of pulse response data of the lamp are obtained; performing real-time lamp working state judgment according to the multiple groups of pulse response data of the lamp, and performing monitoring power supply electric quantity periodic updating on the electric quantity measurement data of the emergency power supply to obtain electric quantity monitoring data of the emergency power supply; and gradient brightness regulation and control are conducted according to the emergency power supply electric quantity monitoring data, and an intelligent elevator emergency dimming strategy is obtained. By intelligently monitoring the residual electric quantity of the elevator emergency power supply, dynamic adjustment of the elevator emergency lighting brightness is achieved, and the lighting time is prolonged.

The invention discloses a smart city energy management system based on energy conservation and emission reduction, and relates to the technical field of smart city energy management. By using an intelligent sensor group, illumination related data of illumination equipment is obtained, an illumination related data set R is constructed, and a light attenuation factor Gs, a convective heat transfer index DL and a use intensity factor Qd are extracted; the method comprises the following steps: dynamically evaluating the thermal load intensity of an urban area, scientifically dividing thermal risk grades, combining performance brightness prediction and control strategy matching to realize subarea and lamp-divided refined dimming control, using a feedback self-evaluation and optimization regulation and control mechanism, carrying out power reestimation and strategy alternation on an area with a substandard control effect, and carrying out power control on the area with the substandard control effect. Redundant energy consumption is effectively reduced, heat accumulation is restrained, and the lighting efficiency and the environment comfort degree are improved.

The invention provides a multi-scene-oriented intelligent light adaptive control method and system, and the method comprises the steps: recognizing the current behavior state of a user based on visual sensor data, predicting the behavior state of the user, and outputting a light control behavior tag; combining the behavior label with a scene type and ambient light intensity to generate a target illumination intention vector; according to the target illumination intention vector, in combination with an illumination control conflict situation, real-time lamp parameters and user space state data, calculating an illumination weight of each lamp to a user, distributing brightness and color temperature parameters, and in combination with the target dimming process duration, generating a lamp control parameter set; and converting the lamp control parameter set into a dimming instruction sequence, performing time synchronization and delay compensation, and issuing the dimming instruction sequence to each lamp for execution. According to the method, accurate mapping from behavior intention to physical illumination is realized, and the method has extremely high universality, deployability and engineering controllability.

The invention relates to an LED intelligent lighting control method and device based on the Internet of Things, and the method can collect the environment perception data of a plurality of intelligent LED lamps, and carries out the dimming calculation, and obtains an initial dimming parameter. Performing instruction construction on the initial dimming parameters in combination with historical energy consumption records and environmental perception data of the intelligent LED lamp, and generating a target dimming instruction; controlling the intelligent LED lamp through an edge gateway based on the target dimming instruction, and obtaining lamp response data; and continuously judging the intelligent LED lamp according to the lamp response data to obtain fault judgment information, and triggering an operation and maintenance control instruction. According to the invention, the operation state of the intelligent LED lamp can be accurately judged, potential faults can be found in time, and automatic operation and maintenance can be triggered. According to the invention, the operation state of the intelligent LED lamp can be accurately judged, potential faults can be found in time, and automatic operation and maintenance can be triggered.

The invention discloses a lamp connecting structure and a mining lamp, and relates to the field of lighting devices.The connecting structure is arranged in a lamp with a mesh enclosure and distributed on a lamp shell of the lamp and a top cover of a power box, the connecting structure comprises mounting parts, a connecting assembly and a hoisting piece, and the mounting parts are arranged on the edge of the top face of the lamp shell and the edge of the top cover; the connecting assemblies are connected to the edge of the mesh enclosure and are connected with the mounting part through the connecting assemblies, the hoisting piece is connected to the mounting part on the edge of the top surface of the lamp shell or the mounting part on the edge of the top cover, and the connecting assemblies are distributed on the two sides of the lamp shell in the transverse direction and are connected with the mounting part through the connecting assemblies. The connecting assembly not only enables the mesh enclosure to be connected into the mining lamp to play a role in protecting the light source assembly, but also can be used as a tool for loading lamp parts when the mining lamp is maintained from the bottom direction, and provides multiple suspended ceiling installation modes for selection, so that the mining lamp can meet the installation and use requirements of different scenes.

A method for operating smart fixtures to enable artificial intelligence-based emergency detection, communication, and response within a building is disclosed. The method includes monitoring environmental conditions using sensors integrated into smart fixtures, such as power receptacles, light switches, and vents. Audio, image, and physiological motion data are captured and transmitted to a processor for analysis. The system extracts signal and motion-based features, identifies subjects, and calculates health parameters to assess distress levels. If an emergency is detected, an emergency communication signal is generated, and a communication session with a remote device is established. The system provides real-time situational updates and executes emergency response actions, such as adjusting power distribution and environmental controls. Predictive analytics modules enhance response efficiency by anticipating subject movements and optimizing emergency interventions. The smart fixtures facilitate intra-building communication and user interaction through voice-activated queries, enabling an adaptive and intelligent emergency management system.