Intelligent identification monitoring and cooperative emergency system

Abstract

The invention discloses an intelligent identification monitoring and cooperative emergency system, which comprises a main body case, a double-shaft rotating mechanism, an annular light supplementing assembly, an integrated base and an intelligent analysis module, and is characterized in that the main body case comprises a first rotating device, an imaging module and a second rotating device; the double-shaft rotating mechanism comprises a horizontal rotating shaft and a pitching adjusting shaft; the annular light supplementing assembly comprises a light supplementing lamp array and a honeycomb anti-dazzle cover. The integrated base comprises a communication gateway and an emergency controller; the intelligent analysis module comprises an edge calculation unit and a response priority unit. Therefore, the beam splitter prism fuses visible light and infrared thermal imaging coaxial acquisition, the electromagnetic shielding design of the double-shaft rotating mechanism is combined, the imaging precision and stability are improved, the annular light supplementing assembly, the three-color-temperature LED module and the edge calculation unit cooperate, illumination is dynamically adapted, dark space glare is eliminated, an emergency controller hardware-level linkage device triggers instructions according to priorities, and therefore the imaging accuracy and stability are improved. The response time is shortened.

Description

Technical Field

[0001] The present application relates to the technical field of intelligent monitoring, and in particular to an intelligent identification monitoring and collaborative emergency response system. Background Art

[0002] Traditional intelligent monitoring systems have the following technical bottlenecks:

[0003] (1) The separate deployment of visible light and thermal imaging equipment makes data fusion difficult, and there are blind spots in target tracking;

[0004] (2) The coordination between the fill light device and the imaging equipment is poor, and there are fill light blind spots and light pollution problems in multi-spectral environments;

[0005] (3) The emergency response mechanism relies on human judgment, and there is a delay in decision-making in handling emergencies.

[0006] To address the above problems, the present invention proposes an integrated system that integrates multi-spectral coaxial imaging, adaptive fill light, edge intelligent decision-making and hardware-level emergency linkage. Through structural innovation and algorithm optimization, it significantly improves monitoring accuracy and emergency efficiency. Summary of the Invention

[0007] The present application aims to solve one of the technical problems in the related art at least to a certain extent.

[0008] To this end, the first purpose of this application is to provide an intelligent identification monitoring and collaborative emergency response system, which realizes the coaxial fusion acquisition of visible light and infrared thermal imaging through a spectroscopic prism, and combines the electromagnetic shielding design of a dual-axis rotation mechanism to improve the imaging accuracy and stability in complex environments.

[0009] The second purpose of this application is to provide an intelligent identification monitoring and collaborative emergency system. The three-color temperature adjustable LED module of the ring fill light component cooperates with the edge computing unit to dynamically adapt to the ambient lighting, eliminate dark areas and glare, and ensure all-weather high-definition imaging.

[0010] The third purpose of this application is to provide an intelligent identification monitoring and collaborative emergency system, in which the emergency controller directly drives the fire-fighting equipment and sound and light alarms through a hardware-level interface, and the response priority unit clarifies the event processing order, shortens the emergency response time, and improves the safety protection efficiency.

[0011] To achieve the above-mentioned purpose, the first embodiment of the present application proposes an intelligent identification monitoring and collaborative emergency system, including a main chassis, a dual-axis rotation mechanism, an annular fill light component, an integrated base and an intelligent analysis module, wherein the main chassis includes a first rotation device, an imaging module and a second rotation device; the dual-axis rotation mechanism includes a horizontal rotation axis and a pitch adjustment axis; the annular fill light component includes a fill light array and a honeycomb anti-glare cover; the integrated base includes a communication gateway and an emergency controller; the intelligent analysis module includes an edge computing unit and a response priority unit; wherein: the first rotation device is connected to the imaging module via a first rotation device; ... imaging module and the second rotation device are connected to the imaging module via a first rotation device; an imaging module and a second rotation device; the imaging module and the second rotation device are connected to the imaging module via a first rotation device; an imaging module and a second rotation device The horizontal rotation axis and the pitch adjustment axis drive the imaging module, which includes a coaxially arranged high-definition camera and an infrared thermal imager, and the optical paths of the two are integrated through a dichroic prism; the second rotating device drives a ring-shaped array of fill lights, and each fill light is embedded in a honeycomb anti-glare cover and arranged at equal angles; the communication gateway supports ONVIF / GB28181 protocol conversion and is connected to the existing monitoring system; the emergency controller is connected to the fire-fighting equipment and the sound and light alarm through a hardware-level linkage interface; the edge computing unit processes imaging data in real time and dynamically adjusts the brightness of the fill light and the exposure parameters of the high-definition camera.

[0012] According to an embodiment of the present application, an intelligent identification monitoring and collaborative emergency system is implemented, which uses a spectroscopic prism to fuse visible light and infrared thermal imaging coaxial acquisition, combined with a dual-axis rotation mechanism electromagnetic shielding design to improve imaging accuracy and stability. The three-color temperature LED module of the annular fill light component collaborates with the edge computing unit to dynamically adapt to lighting and eliminate glare in dark areas. The emergency controller hardware-level linkage equipment triggers instructions according to priority and shortens response time.

[0013] In addition, the intelligent identification monitoring and coordinated emergency response system proposed in the present application may also have the following additional technical features:

[0014] In one embodiment of the present application, the horizontal rotation axis is driven by a stepper motor with a rotation range of 0°-355°; an electromagnetic shielding layer is provided between the pitch adjustment axis and the imaging module, and its metal cover extends to cover the high-definition camera circuit board.

[0015] In one embodiment of the present application, the fill light array uses a three-color temperature adjustable LED module, whose ring diameter matches the field of view of the imaging module; the edges of the light spots of adjacent fill lights form a continuous coverage area, and the brightness transition is smooth without dark areas.

[0016] In one embodiment of the present application, a quick-release interface panel is provided on the side of the integrated base, integrating a power / data composite interface and a status indicator light.

[0017] In one embodiment of the present application, the response priority unit triggers emergency instructions in the order of fire > intrusion > environmental anomaly; the edge computing unit includes a self-optimization algorithm engine that dynamically adjusts the sampling frequency of the imaging module based on historical data.

[0018] In one embodiment of the present application, the dichroic prism directs visible light and infrared light to a high-definition camera and an infrared thermal imager, respectively; the imaging module adjusts the prism inclination angle through a micro motor to compensate for optical axis deviation.

[0019] In one embodiment of the present application, the emergency controller includes a fire equipment relay group and an audible and visual alarm signal generator, which directly drive the sprinkler system and adjust the alarm volume / flashing frequency respectively.

[0020] In one embodiment of the present application, the integrated base is provided with a wall-mounting hole and a bracket mounting slot, and is compatible with pole mounting and ceiling suspension.

[0021] The advantages of this application compared with the existing technology are:

[0022] (1) The coaxial fusion acquisition of visible light and infrared thermal imaging is achieved through a beam splitter prism, and the electromagnetic shielding design of the dual-axis rotation mechanism is combined to improve the imaging accuracy and stability in complex environments.

[0023] (2) The three-color temperature adjustable LED module of the ring fill light component works together with the edge computing unit to dynamically adapt to the ambient light, eliminate dark areas and glare, and ensure all-weather high-definition imaging.

[0024] (3) The emergency controller directly drives the fire-fighting equipment and sound and light alarms through the hardware-level interface. The response priority unit clarifies the event processing order, shortens the emergency response time, and improves the safety protection efficiency.

[0025] Additional aspects and advantages of the present application will be given in part in the description below, and in part will become apparent from the description below, or will be learned through practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] The above and / or additional aspects and advantages of the present application will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0027] Figure 1 A three-dimensional diagram of an intelligent identification, monitoring and coordinated emergency response system according to one embodiment of the present application;

[0028] Figure 2 is a three-dimensional diagram of an intelligent identification monitoring and coordinated emergency response system according to another embodiment of the present application;

[0029] Figure 3This is a structural diagram of an intelligent identification monitoring and collaborative emergency response system according to one embodiment of the present application;

[0030] Figure 4 Schematic diagram of an electromagnetic shielding layer of an intelligent identification monitoring and coordinated emergency response system according to one embodiment of the present application;

[0031] Figure 5 A schematic diagram of a main chassis and core driver module of an intelligent identification monitoring and collaborative emergency response system according to one embodiment of the present application;

[0032] Figure 6 A schematic diagram of a dual-axis rotation mechanism and electromagnetic shielding of an intelligent identification, monitoring, and coordinated emergency response system according to one embodiment of the present application;

[0033] Figure 7 A schematic diagram of optical path fusion and adjustment of imaging modules of an intelligent recognition monitoring and collaborative emergency response system according to one embodiment of the present application;

[0034] Figure 8 A schematic diagram of a ring-shaped fill light component and intelligent control of an intelligent identification monitoring and coordinated emergency response system according to one embodiment of the present application;

[0035] Figure 9 A schematic diagram of an integrated base and external interfaces of an intelligent identification monitoring and coordinated emergency response system according to one embodiment of the present application;

[0036] Figure 10 A schematic diagram of the linkage between an emergency controller and hardware of an intelligent identification monitoring and coordinated emergency system according to one embodiment of the present application;

[0037] Figure 11 A schematic diagram of an intelligent analysis module and data processing of an intelligent identification, monitoring, and coordinated emergency response system according to one embodiment of the present application;

[0038] Figure 12 Schematic diagram of a data processing flow chart of an intelligent identification monitoring and collaborative emergency response system according to one embodiment of the present application;

[0039] Figure 13 The present invention is a schematic diagram of a system workflow diagram of an intelligent identification monitoring and collaborative emergency response system according to an embodiment of the present application.

[0040] As shown in the figure: 1. Main chassis; 2. Dual-axis rotation mechanism; 3. Ring fill light assembly; 4. Integrated base; 5. Intelligent analysis module;

[0041] 101. First rotating device; 102. Imaging module; 103. Second rotating device; 1021. High-definition camera; 1022. Infrared thermal imager; 1023. Beam splitter prism;

[0042] 201, horizontal rotation axis; 202, pitch adjustment axis; 203, electromagnetic shielding layer;

[0043] 301. Fill light array; 302. Honeycomb anti-glare cover;

[0044] 401, communication gateway; 402, emergency controller; 403, quick-release interface panel; 405, wall-mounting hole; 406, bracket mounting slot; 4031, status indicator light;

[0045] 501, edge computing unit; 502, response priority unit; 503, self-optimization algorithm engine;

[0046] 4021. Fire-fighting equipment relay group; 4022. Sound and light alarm signal generator. DETAILED DESCRIPTION

[0047] The following describes an intelligent identification monitoring and collaborative emergency response system according to an embodiment of the present application in conjunction with the accompanying drawings.

[0048] like Figures 1-13 As shown, an intelligent identification monitoring and collaborative emergency system according to an embodiment of the present application, the core components of the system include a main chassis 1, a dual-axis rotation mechanism 2, a ring-shaped fill light component 3, an integrated base 4 and an intelligent analysis module 5. The process of the coordinated operation of each component is as follows:

[0049] 1. Drive control of the main chassis 1 and the dual-axis rotation mechanism 2

[0050] The first rotating device 101 in the main chassis 1 drives the imaging module 102 to rotate horizontally through the horizontal rotating shaft 201. The horizontal rotating shaft 201 adopts a stepping motor (step angle 0.9°) to achieve continuous rotation of 0°-355°. Every 5° is a positioning node, and the absolute encoder feeds back the position signal in real time.

[0051] The pitch adjustment axis 202 drives the imaging module 102 for vertical pitch adjustment through a gear set (module 0.5, transmission ratio 3:1). The pitch angle range is -15° (downward) to +60° (upward), and the adjustment speed can be set to 1° / s to 5° / s. A limit switch (model OMRON D4N-1A2H) is used to prevent mechanical overtravel.

[0052] 2. Dual-spectrum fusion of imaging module 102

[0053] The imaging module 102 internally coaxially integrates a high-definition camera 1021 and an infrared thermal imager 1022:

[0054] The HD camera 1021 uses a 1 / 1.8-inch CMOS sensor (effective pixels: 5 million), supports HDR wide dynamic range (120dB), and has a minimum illumination of 0.005Lux.

[0055] Infrared thermal imager 1022 resolution 640×480, thermal sensitivity ≤40mK, temperature measurement range -20℃ to +550℃;

[0056] The beam splitter prism 1023 is a cubic structure (size 25.4mm×25.4mm×25.4mm), and its beam splitting surface is coated with a visible light anti-reflection film (transmittance ≥95%) and an infrared high-reflection film (reflectivity ≥98%) to achieve incident light separation: visible light is transmitted to the high-definition camera 1021, and infrared light is reflected to the infrared thermal imager 1022.

[0057] The two images are frame aligned through the timestamp synchronization module (synchronization error < 2ms) and the fused video stream (resolution 3840×2160@30fps) is output.

[0058] 3. Collaborative work of ring fill light component 3

[0059] The second rotating device 103 uses a DC reduction motor (rated torque 0.5 N·m) to drive the annular fill light array 301 to rotate around the axis of the imaging module 102, and the speed can be adjusted in the range of 0-10 rpm.

[0060] The fill light array 301 consists of 18 groups of LED modules arranged equidistantly in a ring (adjacent modules are spaced 20 degrees apart), each group contains 3 high-brightness LEDs (cool white 6000K, neutral white 4500K, warm white 3000K), with a maximum luminous flux of 2000lm / group.

[0061] The honeycomb anti-glare cover 302 is made of aluminum alloy, with an aperture of φ5mm, a hole depth of 8mm, and a honeycomb wall thickness of 0.8mm. It constrains the LED divergence angle to ±12° to avoid glare in the overlapping area of the light spots (glare index UGR<16).

[0062] The fill light angle is matched with the field of view of the imaging module 102 in real time: when the horizontal rotation axis 201 rotates, the second rotation device 103 receives the rotation angle instruction through the CAN bus and drives the fill light array 301 to turn synchronously to ensure that the fill light area covers the imaging field of view.

[0063] 4. Protocol conversion of communication gateway 401

[0064] The communication gateway 401 in the integrated base 4 is equipped with a dual-core processor (main frequency 1.5GHz) and a built-in ONVIF / GB28181 protocol stack to implement the following functions:

[0065] Convert the RTSP video stream (encoding format H.265) of HD camera 1021 into a SIP signaling stream that complies with the GB28181-2016 standard;

[0066] The temperature data of the infrared thermal imager 1022 is encapsulated as an ONVIF event message (XML format) and pushed to a third-party monitoring platform via HTTP / HTTPS;

[0067] Supports up to 32 devices to access, data transmission delay <200ms, and communication bandwidth occupancy ≤20Mbps (at 1080P resolution).

[0068] The physical interfaces of the communication gateway 401 include RJ45 (10 / 100 / 1000M adaptive), RS485 (baud rate 115200bps) and Wi-Fi module (supporting 802.11ac), which can be directly connected to the existing monitoring network.

[0069] 5. Hardware linkage of emergency controller 402

[0070] The emergency controller 402 is directly connected to the fire fighting equipment (the solenoid valve of the sprinkler system) through the relay group and is connected to the sound and light alarm through the audio power amplifier circuit;

[0071] When the intelligent analysis module 5 triggers a fire alarm, the emergency controller 402 immediately sends a start signal to the fire fighting equipment and activates the strobe and buzzer functions of the sound and light alarm.

[0072] 6. Real-time processing of edge computing unit 501

[0073] The edge computing unit 501 receives the real-time video stream from the imaging module 102 and identifies abnormal events (flame, smoke) through a machine learning model;

[0074] The brightness adjustment instruction of the fill light array 301 is dynamically generated according to the ambient light intensity, and the electronic shutter speed and ISO parameters of the high-definition camera 1021 are synchronously adjusted to ensure clear imaging of the target area.

[0075] 7. System linkage process

[0076] In the initial state, the horizontal rotation axis 201 drives the imaging module 102 to perform panoramic scanning, and the fill light array 301 is automatically turned on according to the ambient light sensor data (integrated in the front end of the imaging module 102):

[0077] When the ambient illumination is less than 5 Lux, the warm white LED (3000K, 50% brightness) is turned on;

[0078] When a moving target is detected, it switches to a cool white LED (6000K, 100% brightness) and triggers the electronic shutter of the high-definition camera 1021 to speed up to 1 / 1000s;

[0079] When the edge computing unit 501 detects a fire event, it triggers the emergency controller 402 to start the firefighting equipment and alarm: the response priority unit 502 sends a JSON format instruction to the emergency controller 402 through the communication gateway 401 to trigger the preset linkage action (starting the alarm, calling the preset position, etc.);

[0080] Fill light brightness and camera exposure parameters are adjusted in real time according to environmental changes to maintain optimal monitoring image quality.

[0081] In one embodiment of the present application, Figures 1-13 As shown, the technical solution of the horizontal rotation axis 201 and the pitch adjustment axis 202 in this system is implemented as follows:

[0082] It is understood that: 1. The stepping drive control of the horizontal rotation axis 201

[0083] The horizontal rotation shaft 201 is driven by a two-phase hybrid stepping motor. The motor rotor is rigidly connected to the rotation shaft through a coupling to drive the imaging module 102 to rotate horizontally.

[0084] The rotation range is set to 0°-355°, and the cable entanglement caused by 360° rotation is prevented by dual control of mechanical limit structure and software:

[0085] Mechanical limit: A physical limit block (made of nylon 66) is set at the end of the rotating shaft to limit the rotation angle to no more than 355°;

[0086] Software control: The motor controller has a built-in angle counter, which automatically executes the reverse command when it detects a rotation angle ≥ 355°.

[0087] Rotational positioning accuracy is ensured by:

[0088] Each pulse of the stepper motor corresponds to 0.036° angular displacement, and the 17-bit absolute encoder provides real-time feedback of position deviation;

[0089] The closed-loop control algorithm dynamically adjusts the motor phase current based on encoder feedback to eliminate the accumulated error caused by lost steps.

[0090] 2. Electromagnetic shielding design of pitch adjustment axis 202

[0091] An electromagnetic shielding layer 203 is provided at the connection between the pitch adjustment axis 202 and the imaging module 102. The specific structure includes:

[0092] Shielding cover: It is made of 0.8mm thick tin-plated steel plate by stamping to form a continuous closed cavity to enclose the pitch adjustment axis 202 drive motor;

[0093] Extended coverage: The shielding cover extends an L-shaped folded edge toward the imaging module 102 side, completely covering the circuit board mounting area of the high-definition camera 1021, and achieves equipotential connection with the camera housing through conductive foam.

[0094] The electromagnetic shielding effectiveness is improved by the following measures:

[0095] The inner surface of the shielding layer is pasted with absorbing material (ferrite composite layer) to suppress high-frequency electromagnetic reflection;

[0096] All cables passing through the shielding layer are filtered using metal feedthrough capacitors with a cutoff frequency set to 10MHz.

[0097] The shielding cover and the chassis 1 shell are riveted at multiple points to achieve low-impedance overlap, and the overall grounding resistance is ≤0.1Ω.

[0098] The electromagnetic shielding layer 203 is covered with (0.8 mm tinned steel plate + ferrite absorbing layer).

[0099] 3. Collaborative Workflow

[0100] Horizontal rotation stage:

[0101] 1. The host computer sends the target angle command to the stepper motor driver;

[0102] 2. The stepper motor drives the horizontal rotating shaft 201 to drive the imaging module 102 to rotate, and the encoder monitors the actual angle in real time;

[0103] 3. When the deviation between the actual angle and the target angle is greater than 0.1°, the controller triggers the microstep compensation mode and corrects the position with a subdivision step size of 1 / 32.

[0104] Pitch adjustment stage:

[0105] 1. The DC reduction motor of the pitch adjustment axis 202 receives a pitch angle command;

[0106] 2. The electromagnetic shielding layer 203 limits electromagnetic radiation within the housing when the motor is running. Tests have shown that the radiation field strength at the circuit board of the high-definition camera 1021 can be reduced to below 3V / m;

[0107] 3. After the pitch angle is in place, the continuous conductor formed by the shielding layer and the camera housing further blocks external electromagnetic interference.

[0108] In one embodiment of the present application, Figures 1-13 As shown, the technical solution of the fill light array 301 in this system is implemented as follows:

[0109] It is understood that the fill light array 301 is composed of multiple groups of independently controlled three-color temperature LED modules arranged in a ring, and each group of modules integrates three color temperature chips: cool white (6000K), neutral white (4500K), and warm white (3000K):

[0110] Each LED chip is independently driven by a PWM dimming circuit, and the color temperature mixing ratio is continuously adjustable from 0-100%;

[0111] The LED module substrate adopts aluminum-based copper-clad laminate (thickness 1.6mm) and is connected to the ring radiator through thermal grease to ensure that the operating temperature is ≤65℃.

[0112] The annular diameter (D) of the fill light array 301 is calculated and determined according to the field of view (θ) of the imaging module 102:

[0113] The calculation formula is D=2×f×tan(θ / 2), where f is the equivalent focal length of the imaging module 102;

[0114] The annular center plane coincides with the optical center of the imaging module 102 , ensuring that the fill light axis is parallel to the imaging optical axis.

[0115] During actual installation, the radial telescopic mechanism of the ring mount is fine-tuned (adjustment range ±5mm) to accurately match the field of view coverage requirements of lenses with different focal lengths.

[0116] Continuous light spot coverage and brightness transition

[0117] The installation angle (α) of adjacent LED modules is calculated based on the ring diameter (D) and the projection distance (L):

[0118] α = 2 × arcsin(d / (2D)), where d is the effective spot diameter of a single LED module;

[0119] Angle optimization is used to achieve seamless coverage of the overlapping areas of adjacent light spots.

[0120] Brightness gradient control is achieved by:

[0121] The LED modules in the overlapping area use a linear attenuation algorithm. The brightness of adjacent modules in the overlapping area gradually changes according to B(x)-B0*(1-x / w), where x is the distance from the center of the light spot and w is the overlap width.

[0122] The edge computing unit 501 calculates the driving current of each module in real time.

[0123] It should be noted that the spot overlap algorithm:

[0124] Brightness attenuation formula of adjacent fill light modules:

[0125] B(x)=B0·(1-x / w) (x is the distance from the center of the light spot, and w=15 mm is the overlapping width).

[0126] Ring diameter calculation:

[0127] D = 2f·tan(θ / 2) (f is the focal length of the imaging module, and when θ = 75° field of view, D = 120 mm).

[0128] In one embodiment of the present application, Figures 1-13 As shown, the technical solution of the quick-detachable interface panel 403 integrated with the base 4 in this system is implemented as follows:

[0129] It is understood that the quick-release interface panel 403 adopts a slide rail snap-on structure, the panel body is made of aluminum alloy (thickness 1.5mm), and is connected to the internal circuit board of the base 4 through four sets of spring pin contacts:

[0130] Buckle mechanism: Stainless steel elastic buckles (opening and closing stroke 2mm) are set on both sides of the panel. Pressing the buckles can release the lock and slide out the panel.

[0131] Contact design: 12-pin gold-plated spring pins are arranged on the back of the panel, forming pressure contact with the corresponding contacts on the PCB board in the base 4 (contact resistance ≤ 10mΩ).

[0132] Power / data composite interface integration:

[0133] The composite interface adopts Type-C form factor, integrating USB 3.1 data communication and 20V / 5A power transmission functions:

[0134] Power transmission: supports PD 3.0 protocol, maximum power supply 100W;

[0135] Data communication: compatible with USB 3.1Gen2 standard, transmission rate 10Gbps;

[0136] Protection design: The interface is embedded with waterproof rubber ring (compliant with IP67 protection level).

[0137] Multi-mode display of status indicator 4031:

[0138] The status indicator 4031 is composed of a three-color LED module and displays the status through a transparent acrylic light guide:

[0139] Steady green: The system power supply is normal and the communication link is established;

[0140] Orange breathing: data transmission (flashing frequency 1Hz);

[0141] Red fast flashing: poor interface contact or overcurrent protection triggered (flashing frequency 4Hz);

[0142] The control circuit has a built-in current detection chip (model INA219) to monitor the interface load current in real time. When the limit is exceeded, the power supply is immediately cut off and a red alarm is triggered.

[0143] In one embodiment of the present application, Figures 1-13 As shown, the technical solution of the response priority unit 502 and the edge computing unit 501 in this system is implemented as follows:

[0144] It is understandable that: 1. The emergency instruction triggering mechanism of the response priority unit 502

[0145] Event Detection and Classification:

[0146] The edge computing unit 501 performs multi-dimensional analysis on the real-time data stream of the imaging module 102 to generate event feature vectors, including:

[0147] Fire characteristics: sudden changes in temperature gradient detected by infrared thermal imager 1022 and smoke diffusion patterns identified by high-definition camera 1021;

[0148] Intrusion characteristics: motion target trajectory analysis, face / vehicle unauthorized matching results;

[0149] Environmental abnormalities: temperature and humidity exceed the limit, and illumination changes suddenly.

[0150] Priority determination logic:

[0151] The response priority unit 502 has a built-in event level mapping table, and sets weight coefficients according to "fire > intrusion > environmental abnormality" (0.7 / 0.2 / 0.1 respectively);

[0152] When multiple events occur concurrently, the comprehensive threat value S = ∑(wi*si) is calculated, where wi is the event weight and si is the current detection confidence;

[0153] Select the event with the highest threat value to trigger the corresponding emergency command.

[0154] Instruction execution control:

[0155] When a fire alarm is triggered, other event processing threads are immediately interrupted and a highest priority instruction is sent to the emergency controller 402 via a hardware interrupt signal;

[0156] When an intrusion alarm is triggered, video tracking and storage acceleration mode are activated, and a pop-up window alarm is pushed to the monitoring platform;

[0157] When an environmental anomaly is triggered, only logs are recorded and low-priority notifications are sent.

[0158] 2. Dynamic adjustment of the sampling frequency of the self-optimizing algorithm engine 503

[0159] Historical data modeling:

[0160] The self-optimizing algorithm engine 503 continuously collects the following data from the imaging module 102:

[0161] Time series of events;

[0162] Target recognition accuracy at different sampling frequencies;

[0163] System resource usage (CPU / memory / bandwidth).

[0164] Establish a time series forecasting model (ARIMA algorithm) to predict the probability of events occurring in future periods.

[0165] Dynamic adjustment strategy:

[0166] High-frequency mode (10fps): When the prediction model outputs a probability of a fire / intrusion event within the next 5 minutes greater than 30%, the sampling frequency of the imaging module 102 is increased to the upper limit;

[0167] Medium frequency mode (5fps): When the event probability is between 10% and 30%, the base sampling rate is maintained.

[0168] Low-frequency mode (2fps): When there is no event prediction and the system resource utilization is greater than 80%, the sampling rate is reduced to save power.

[0169] Closed-loop feedback mechanism:

[0170] After each frequency adjustment, the actual event detection rate and false alarm rate were recorded, and the prediction model parameters were optimized using the random forest classifier;

[0171] When the false alarm rate increases by more than 5% after three consecutive adjustments, it will automatically roll back to the previous frequency level.

[0172] 3. Collaborative Workflow

[0173] Step 1: The edge computing unit 501 processes the imaging data in real time and generates an event feature vector;

[0174] Step 2: The response priority unit 502 calculates the event threat value and triggers instructions in a preset order;

[0175] Step 3: The self-optimizing algorithm engine 503 dynamically adjusts the sampling frequency of the imaging module 102 according to the historical event distribution and resource status;

[0176] Step 4: The adjusted sampling frequency data is fed back to the self-optimization algorithm engine 503 to complete the closed-loop optimization.

[0177] In one embodiment of the present application, Figures 1-13As shown, the technical solution of the beam splitter prism 1023 and the optical axis compensation mechanism in this system is implemented as follows:

[0178] It is understood that the beam splitter prism 1023 is a cubic optical element, which is formed by gluing two right-angle prisms together, and the gluing surface is coated with a beam splitter film:

[0179] Visible light channel: The transmittance of the spectroscopic film to visible light of 400-700nm is ≥95%, transmitting the visible light to the CMOS sensor of the high-definition camera 1021;

[0180] Infrared light channel: The reflectivity of the spectroscopic film to 8-14μm infrared light is ≥98%, reflecting the infrared light to the detector of the infrared thermal imager 1022.

[0181] Optical axis offset detection and compensation mechanism:

[0182] Offset detection:

[0183] The high-definition camera 1021 and the infrared thermal imager 1022 synchronously collect the image of the calibration plate;

[0184] The edge calculation unit 501 calculates the center offset (Δx, Δy) of the two images using a feature point matching algorithm.

[0185] Compensation Execution:

[0186] A micro motor (using a piezoelectric ceramic motor with a step resolution of 0.001°) drives the beam splitter prism 1023 to rotate around the X / Y axis;

[0187] Adjust the prism tilt angle according to the offset calculation formula θ = arctan(Δd / f) (θ is the compensation angle, Δd is the pixel offset, and f is the equivalent focal length);

[0188] Each time compensation is completed, the calibration image is re-collected to verify the offset until both Δx and Δy are ≤ 1 pixel.

[0189] Collaborative workflow

[0190] Step 1: After the system is started, the micro motor is reset to zero position, and the beam splitter prism 1023 is in the reference optical path state;

[0191] Step 2: The imaging module 102 captures the calibration plate image, and the edge computing unit 501 calculates the initial optical axis offset;

[0192] Step 3: If the offset exceeds the limit (Δx or Δy > 2 pixels), the micromotor drives the prism to rotate according to the preset algorithm. The compensation angle increment formula is:

[0193] Δθ=k p *Δd+ki*∑Δd

[0194] (where k p is the proportionality coefficient, k i is the integral coefficient);

[0195] Step 4: After the compensation is completed, the beam splitter prism 1023 locks the current position, and the high-definition camera 1021 and the infrared thermal imager 1022 output spatially aligned multispectral images.

[0196] It should be noted that the spectroscopic prism coating parameters are:

[0197] The visible light channel is coated with 7 layers of TiO2 / SiO2 dielectric film (400-700nm).

[0198] The infrared channel is coated with Au film (8-14μm).

[0199] Optical axis calibration process:

[0200] The micro piezoelectric ceramic motor (model PIP-611.3S) drives the prism tilt angle. The compensation formula is:

[0201] Δθ=arctan(Δd / f)+0.05·ΣΔd (Δd is the pixel offset, and f is the equivalent focal length).

[0202] Verification after compensation: Δx ≤ 1 pixel, Δy ≤ 1 pixel.

[0203] In one embodiment of the present application, Figures 1-13 As shown, the technical solution of the emergency controller 402 in this system is implemented as follows:

[0204] It is understandable that: 1. The drive control of the fire equipment relay group 4021

[0205] Relay group 4021 consists of 8 double-contact relays, each of which independently controls a group of fire protection equipment (sprinkler system solenoid valves):

[0206] Electrical parameters: Contact rated load 250VAC / 10A, coil drive voltage 24V DC;

[0207] Safety design: The relay coil and load side are isolated by optical coupling to prevent high-voltage interference; the contacts are connected in parallel with an RC snubber circuit (100Ω+0.1μF) to suppress arc discharge.

[0208] Control logic:

[0209] When a fire alarm signal (TTL high level) is received, the corresponding channel in relay group 4021 is energized and outputs 220V AC power to the sprinkler system;

[0210] The pull-in state is detected by the contact voltage feedback loop, and the self-recovery mechanism is triggered when it is abnormally disconnected.

[0211] 2. Adjustment mechanism of sound and light alarm signal generator 4022

[0212] Audio alarm module:

[0213] Adopt Class D digital amplifier chip, the output power is adjustable from 0-30W, and the volume level is controlled by PWM signal;

[0214] The audio frequency is programmable within the range of 500Hz-3.5kHz and supports intermittent beeping.

[0215] Light alarm module:

[0216] The strobe light driving circuit adopts a constant current source design (output current 0-2A adjustable), and the flash frequency is controlled by the MOSFET switch;

[0217] The strobe frequency adjustment range is 1-10Hz, the flash intensity changes linearly with the current, and the maximum light intensity is ≥200,000cd.

[0218] Dynamic adjustment process:

[0219] 1. Receive alarm level signals (fire / intrusion / environmental abnormality);

[0220] 2. When a fire alarm sounds, activate the maximum volume (30W) and high-frequency flash (5Hz, 2A);

[0221] 3. When intrusion alarm occurs, medium volume (15W) and low frequency flash (2Hz, 1A) are activated.

[0222] It should be noted that the relay group circuit:

[0223] Use OMRON G5RL-1A-E 24VDC relay, and connect the contact in parallel with RC absorption circuit (100Ω+0.1μF).

[0224] The coil and the load side are isolated by a TLP785 optocoupler.

[0225] Sound and light alarm linkage:

[0226] In case of fire alarm, the sound pressure level shall be ≥110dB(A)@1m, and the strobe frequency shall be 5Hz (flashing intensity 200,000cd).

[0227] In one embodiment of the present application, Figures 1-13 As shown, the technical solution of the wall-mounting hole 405 and the bracket mounting slot 406 of the integrated base 4 in this system is implemented as follows:

[0228] It can be understood that the wall-mounting holes 405 are 4 groups of symmetrically distributed waist-shaped holes, the long axis direction of the holes is parallel to the long side of the base 4, and the hole diameter is compatible with M6-M8 expansion bolts; rubber bushings (Shore hardness 50A) are embedded in the holes, and the inner wall of the bushings is pre-threaded to buffer the vibration transmission of the installation surface; a ±5mm adjustment margin is reserved in the length direction of the waist-shaped holes to support fine-tuning of the horizontal inclination angle after the base 4 is installed.

[0229] Mounting slot 406 is made of aluminum alloy, with a depth of 15mm and a width of 22mm, compatible with cylindrical poles with a diameter of 18-20mm. A spring steel clip (with a 4mm elastic travel) is installed in the slot, and the end of the clip has an inclined guide structure, which automatically locks when inserted into the pole.

[0230] The mounting groove 406 is connected to the base 4 shell by 6 sets of M5 stainless steel bolts, and the static load capacity is ≥50kg.

[0231] It should be noted that the control method of the present application can be automatically controlled by a controller, and the control method of the controller can be implemented by simple programming by technicians in this field, which is common knowledge in this field. In addition, the present application is mainly used to protect mechanical structures, so the control method and circuit connection are no longer explained in detail in this application.

[0232] Specifically, in the actual implementation process, the complete workflow of this system is as follows:

[0233] 1. Initialization phase:

[0234] After the system is powered on, the communication gateway 401 of the integrated base 4 is connected to the local area network through the RJ45 interface, completes ONVIF protocol registration, and establishes a connection with the existing monitoring system.

[0235] The first rotating device 101 drives the horizontal rotation axis 201 and the pitch adjustment axis 202 to reset the imaging module 102 to an initial monitoring angle (horizontal 0°, pitch 0°).

[0236] The edge computing unit 501 reads the ambient light sensor data (integrated in the imaging module 102 ). If the ambient illumination is detected to be less than 10 Lux, it sends a command to the second rotating device 103 to activate the warm white light (3000K, 40% brightness) of the fill light array 301 .

[0237] 2. Routine monitoring stage:

[0238] The imaging module 102 synchronously collects visible light and infrared thermal imaging data through the spectroscopic prism 1023, transmits it to the edge computing unit 501 via the data cable for real-time processing, generates a 720P resolution fused video stream, and pushes it to the monitoring center through the communication gateway 401 using the GB28181 protocol.

[0239] When the monitoring personnel sends a horizontal rotation command (180°) through the platform, the first rotating device 101 drives the horizontal rotation axis 201 to rotate, and the second rotating device 103 synchronously drives the fill light array 301 to turn, ensuring that the fill light direction is consistent with the imaging field of view.

[0240] 3. Abnormal response stage (taking low light environment as an example):

[0241] The edge computing unit 501 detects a dark area in the picture of the high-definition camera 1021, calculates the fill light requirement through an algorithm, sends an instruction to the second rotating device 103 to increase the brightness of the fill light to 70%, and adjusts the exposure time of the high-definition camera 1021 from 1 / 50s to 1 / 30s to improve the brightness of the picture.

[0242] If the infrared thermal imager 1022 detects an abnormally high temperature area (such as above 50°C), the edge computing unit 501 marks the suspicious point, controls the horizontal rotation axis 201 and the pitch adjustment axis 202 to fine-tune the imaging module 102, and focuses on the high temperature area for close-up monitoring.

[0243] 4. Emergency linkage stage (assuming a fire alarm is triggered later):

[0244] After the response priority unit 502 of the intelligent analysis module 5 determines that it is a fire event, it sends a start signal to the emergency controller 402 of the integrated base 4 through the hardware-level linkage interface to trigger the fire-fighting equipment and the sound and light alarm.

[0245] In summary, an intelligent identification monitoring and collaborative emergency system in an embodiment of the present application improves imaging accuracy and stability by fusing visible light and infrared thermal imaging coaxially through a spectroscopic prism, combined with an electromagnetic shielding design of a dual-axis rotation mechanism. The three-color temperature LED module of the annular fill light component collaborates with the edge computing unit to dynamically adapt to lighting and eliminate glare in dark areas. The emergency controller hardware-level linkage equipment triggers instructions according to priority and shortens response time.

[0246] In the description of this specification, the terms "first" and "second" are used for descriptive purposes only and should not be understood to indicate or imply relative importance or implicitly specify the number of the technical features indicated. Therefore, a feature specified as "first" or "second" may explicitly or implicitly include at least one of such features. In the description of this application, "plurality" means at least two, for example, two, three, etc., unless otherwise specifically defined.

[0247] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art can combine and combine different embodiments or examples described in this specification and features of different embodiments or examples without contradiction.

[0248] Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limitations on the present application. Ordinary technicians in this field can change, modify, replace and deform the above embodiments within the scope of the present application.

Claims

1. An intelligent identification monitoring and collaborative emergency response system, characterized in that: It comprises a main chassis (1), a dual-axis rotation mechanism (2), an annular fill light component (3), an integrated base (4) and an intelligent analysis module (5), wherein: The main chassis (1) comprises a first rotating device (101), an imaging module (102) and a second rotating device (103); The dual-axis rotation mechanism (2) comprises a horizontal rotation axis (201) and a pitch adjustment axis (202); The annular fill light assembly (3) comprises a fill light array (301) and a honeycomb anti-glare cover (302); The integrated base (4) includes a communication gateway (401) and an emergency controller (402); The intelligent analysis module (5) includes an edge computing unit (501) and a response priority unit (502); in: The first rotating device (101) drives the imaging module (102) via the horizontal rotation axis (201) and the pitch adjustment axis (202); the imaging module (102) comprises a coaxially arranged high-definition camera (1021) and an infrared thermal imager (1022); the optical paths of the two are fused via a beam splitter prism (1023); The second rotating device (103) drives a ring-shaped array of fill-in lights (301), each fill-in light being embedded in a honeycomb anti-glare cover (302) and arranged at equal angles; The communication gateway (401) supports ONVIF / GB28181 protocol conversion and is connected to an existing monitoring system; The emergency controller (402) is connected to the fire-fighting equipment and the sound and light alarm via a hardware-level linkage interface; The edge computing unit (501) processes imaging data in real time and dynamically adjusts the brightness of the fill light and the exposure parameters of the high-definition camera (1021).

2. The intelligent identification monitoring and coordinated emergency response system according to claim 1, characterized in that: The horizontal rotating shaft (201) is driven by a stepping motor, and the rotation range is 0°-355°; An electromagnetic shielding layer (203) is provided between the pitch adjustment shaft (202) and the imaging module (102), and its metal cover extends to cover the high-definition camera (1021) circuit board.

3. The intelligent identification monitoring and coordinated emergency response system according to claim 1, characterized in that: The fill light array (301) uses a three-color temperature adjustable LED module, and its ring diameter matches the viewing angle of the imaging module (102); The edges of the light spots of adjacent fill lights form a continuous coverage area, and the brightness transition is smooth without dark areas.

4. The intelligent identification monitoring and coordinated emergency response system according to claim 1, characterized in that: A quick-detachable interface panel (403) is provided on the side of the integrated base (4), integrating a power / data composite interface and a status indicator light (4031).

5. The intelligent identification monitoring and coordinated emergency response system according to claim 1, characterized in that: The response priority unit (502) triggers the emergency instruction in the order of fire>intrusion>environmental abnormality; The edge computing unit (501) includes a self-optimizing algorithm engine (503) that dynamically adjusts the sampling frequency of the imaging module (102) based on historical data.

6. The intelligent identification monitoring and coordinated emergency response system according to claim 1, characterized in that: The beam splitter prism (1023) guides the visible light and the infrared light to the high-definition camera (1021) and the infrared thermal imager (1022) respectively; The imaging module (102) adjusts the prism inclination angle through a micro motor to compensate for optical axis deviation.

7. The intelligent identification monitoring and coordinated emergency response system according to claim 1, characterized in that: The emergency controller (402) comprises a fire-fighting equipment relay group (4021) and an audible and visual alarm signal generator (4022), which respectively directly drive the sprinkler system and adjust the alarm volume / flashing frequency.

8. The intelligent identification monitoring and coordinated emergency response system according to claim 1, characterized in that: The integrated base (4) is provided with a wall-mounting hole (405) and a bracket mounting slot (406), and is compatible with pole mounting and ceiling hanging.

Images