An integrated emergency lighting device capable of real-time human body location detection

Abstract

This utility model discloses an integrated emergency lighting device capable of real-time detection of human body location. The device includes an emergency lighting fixture body, which integrates a millimeter-wave radar sensing module, a thermal imaging sensor, a voice recognition module, a CO gas sensor, a PLC control module, a drive unit, and an audible alarm. The millimeter-wave radar sensing module, thermal imaging sensor, voice recognition module, CO gas sensor, drive unit, and audible alarm are all electrically connected to the PLC control module. The emergency lighting fixture body has two evacuation lights, each electrically connected to the PLC control module via a drive unit, forming independent working circuits that do not interfere with each other. This utility model can promptly monitor and locate the position of trapped personnel, providing firefighters with accurate rescue information, improving rescue precision, avoiding blind searches, shortening rescue time, and reducing casualties and property damage.

Description

Technical Field

[0001] This utility model relates to the field of building electrical technology, and in particular to an integrated emergency lighting device that can detect the location of a human body in real time. Background Technology

[0002] During fire rescue operations, firefighters often struggle to pinpoint the exact location of trapped individuals within buildings immediately. Conventional rescue methods require searching each floor, which is inefficient and time-consuming. While existing emergency lighting fixtures can maintain power during a fire, they are ineffective at locating trapped individuals. Therefore, this invention aims to address these issues by proposing an integrated emergency lighting device capable of real-time human location detection. Utility Model Content

[0003] The purpose of this invention is to provide an integrated emergency lighting device that can detect the location of a human body in real time, thereby solving the aforementioned problems in the prior art.

[0004] To achieve the above objectives, the technical solution adopted by this utility model is as follows:

[0005] An integrated emergency lighting device capable of real-time human body location detection includes an emergency lighting fixture body. The fixture body integrates a millimeter-wave radar sensing module, a thermal imaging sensor, a voice recognition module, a CO gas sensor, a PLC control module, a drive unit, and an audible alarm. The millimeter-wave radar sensing module, thermal imaging sensor, voice recognition module, CO gas sensor, drive unit, and audible alarm are all electrically connected to the PLC control module. The emergency lighting fixture body has two evacuation lighting circuits, each electrically connected to the PLC control module via a drive unit, forming independent working circuits that do not interfere with each other.

[0006] The millimeter-wave radar sensing module is ceiling-mounted within the emergency lighting fixture to detect human signals within the detection area and transmit the detected signals to the PLC control module. A thermal imaging sensor is located inside the emergency lighting fixture to sense human body heat signals and transmit the signals to the PLC control module. A voice recognition module is located inside the emergency lighting fixture to recognize the distress calls of trapped individuals and transmit the signals to the PLC control module. A CO gas sensor is located inside the emergency lighting fixture to detect carbon monoxide gas concentration and transmit the signals to the PLC control module.

[0007] In some specific embodiments, a manual positioning button is also included. The manual positioning button is installed on the wall at a height of 1.1m from the ground and is electrically connected to the PLC control module.

[0008] In some specific embodiments, the PLC control module is integrated inside the emergency lighting fixture body. It is used to receive signals transmitted by the millimeter-wave radar sensing module, thermal imaging sensor, voice recognition module, CO gas sensor and manual positioning button, and output control signals after analyzing and processing them according to the built-in intelligent edge emergency evacuation control system algorithm.

[0009] In some specific embodiments, the drive unit is integrated into the base of the emergency lighting fixture body and connected to the PLC control module and the two evacuation lights. It is used to control the lighting and turning off of the two evacuation lights according to the signal output by the PLC control module.

[0010] In some specific embodiments, the audible alarm is integrated inside the emergency lighting fixture and electrically connected to the PLC control module, used to emit an audible alarm signal after receiving a signal from the PLC control module.

[0011] In some specific embodiments, one of the two evacuation lights is turned on by the PLC control module after receiving a fire alarm signal; the other light is turned on by the PLC control module after receiving a human body induction signal or a manual button signal, and is turned off after a 5-second delay after the induction signal or button signal disappears.

[0012] In some specific embodiments, an emergency lighting distribution box is also included. The emergency lighting distribution box is used to provide power to the entire device. Its output terminal is connected to the PLC control module and sends a fire signal to the PLC control module. After receiving the fire signal, the PLC control module controls one of the two evacuation lights to light up.

[0013] In some specific embodiments, the millimeter-wave radar sensing module has a ranging range of 1.5-8m, a horizontal viewing angle of 80°, and a vertical viewing angle of 18°.

[0014] In some specific embodiments, the PLC control module embeds a lightweight AI algorithm for an intelligent edge emergency evacuation lighting system. This algorithm can perform multi-data fusion on the input signals from the millimeter-wave radar sensing module, thermal imaging sensor, voice recognition module, CO gas sensor, and manual positioning button, and automatically weight the data from different sensors to generate the final coordinates.

[0015] The beneficial effects of this utility model are: This utility model discloses an integrated emergency lighting device that can detect the location of a human body in real time, including an emergency lighting fixture body. The emergency lighting fixture body integrates a millimeter-wave radar sensing module, a thermal imaging sensor, a voice recognition module, a CO gas sensor, a PLC control module, a drive unit, and an audible alarm. The millimeter-wave radar sensing module, the thermal imaging sensor, the voice recognition module, the CO gas sensor, the drive unit, and the audible alarm are all electrically connected to the PLC control module. The emergency lighting fixture body is equipped with two evacuation lights. The two evacuation lights are electrically connected to the PLC control module through the drive unit to form independent working circuits that do not affect each other. This utility model has the following advantages: (1) In the event of a fire, it can monitor and locate the location of trapped personnel in a timely manner, provide firefighters with accurate rescue information, improve rescue accuracy, avoid blind searching, shorten rescue time, and reduce casualties and property losses.

[0016] (2) The combination of automatic radar sensing and manual button positioning forms a double insurance mechanism, which significantly improves the reliability of the device and ensures that the positioning function can be effectively performed under various complex conditions.

[0017] (3) The installation of two evacuation lighting and sound alarms enables firefighters to identify the location of trapped personnel more clearly and quickly through two signals: strong light and alarm sound, which greatly improves the efficiency of rescue.

[0018] (4) The application of multi-sensor data fusion and intelligent algorithms can effectively improve the positioning accuracy of personnel in complex environments, avoid the risk of single sensor failure, dynamically optimize rescue routes, and enhance the success rate of escape. Attached Figure Description

[0019] Figure 1 This is a schematic diagram of the control system framework of the device in this embodiment of the present invention;

[0020] Figure 2 This is a schematic diagram of the structure of the device in an embodiment of this utility model;

[0021] Figure 3 This is the automatic control logic diagram of the device in this embodiment of the present invention;

[0022] Figure 4 This is a terminal wiring diagram of the device in an embodiment of this utility model;

[0023] Figure 5 This is the PLC control wiring diagram of the device in this embodiment of the present invention;

[0024] Figure 6 This is the PLC logic control ladder diagram of the device in this embodiment of the present invention.

[0025] In the attached diagram: 1. Millimeter-wave radar sensing module; 2. Thermal imaging sensor; 3. Voice recognition module; 4. CO gas sensor; 5. Manual positioning button; 6. Emergency lighting distribution box; 7. PLC control module; 8. Drive unit; 9. Sound alarm; 10. Evacuation lighting. Detailed Implementation

[0026] To make the objectives, technical solutions, and advantages of this utility model clearer, the present utility model will be further described in detail below with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are merely illustrative of the present utility model and are not intended to limit the scope of the present utility model.

[0027] Reference Figure 1 , Figure 2 , Figure 3 , Figure 4 , Figure 5 and Figure 6 The diagram shows an integrated emergency lighting device capable of real-time human body location detection. It includes an emergency lighting fixture body, which integrates a millimeter-wave radar sensing module 1, a thermal imaging sensor 2, a voice recognition module 3, a CO gas sensor 4, a PLC control module 7, a drive unit 8, and an audible alarm 9. The millimeter-wave radar sensing module 1, thermal imaging sensor 2, voice recognition module 3, CO gas sensor 4, drive unit 8, and audible alarm 9 are all electrically connected to the PLC control module 7. The emergency lighting fixture body has two evacuation lights 10, which are each electrically connected to the PLC control module 7 via the drive unit 8, forming independent working circuits that do not interfere with each other.

[0028] The millimeter-wave radar sensing module 1 is ceiling-mounted inside the emergency lighting fixture to detect human signals within the detection area and transmit the detected signals to the PLC control module 7; the thermal imaging sensor 2 is located inside the emergency lighting fixture to sense human body heat signals and transmit the signals to the PLC control module 7; the voice recognition module 3 is located inside the emergency lighting fixture to recognize the distress calls of trapped personnel and transmit the signals to the PLC control module 7; and the CO gas sensor 4 is located inside the emergency lighting fixture to detect carbon monoxide gas concentration and transmit the signals to the PLC control module 7.

[0029] In some specific embodiments, a manual positioning button 5 is also included. The manual positioning button 5 is installed on the wall at a height of 1.1m from the ground and is electrically connected to the PLC control module 7.

[0030] It should be noted that the manual positioning button 5 is installed on the wall 1.1m above the ground and is electrically connected to the PLC control module via a wire (usually a standard electrical connection wire, such as a BVV type wire). Specifically, one end of the manual positioning button 5 is connected to an input port of the PLC control module (such as an I3.0 port; the port numbering method may vary depending on the PLC), and the other end is connected to the corresponding common terminal or power supply terminal (the power supply terminal is usually the positive or negative terminal of the power supply, while the common terminal is the reference point used for signal loops inside the PLC, depending on the PLC model and wiring requirements). This forms a complete circuit, ensuring that a valid switch signal is sent to the PLC control module when the manual positioning button 5 is triggered.

[0031] In the event of a fire, if a trapped person can reach the manual location button 5 and press it, the button will send a switch signal (usually a low-level or high-level signal, depending on the circuit design) to the PLC control module. This signal serves as a manual marker of the trapped person's location. For the PLC control module, this is another important basis for confirming the presence and location of a person, in addition to the automatic sensing modules (millimeter-wave radar sensing module 1, thermal imaging sensor 2, voice recognition module 3, etc.). Together with the automatic sensing modules, this forms a double-insurance mechanism, ensuring that even if the automatic sensing modules malfunction (e.g., due to decreased sensing performance caused by dense smoke or other complex environmental factors) or the trapped person is in a location that cannot be accurately detected by the automatic sensing modules, the trapped person's location information can still be manually transmitted to the PLC control module. This triggers subsequent rescue instructions, such as controlling the second evacuation lighting 10 to illuminate and the sound alarm 9 to sound, assisting firefighters in locating the trapped person more quickly and accurately, and improving the reliability of the rescue.

[0032] In some specific embodiments, the PLC control module 7 is integrated inside the emergency lighting fixture body. It is used to receive signals transmitted by the millimeter-wave radar sensing module 1, thermal imaging sensor 2, voice recognition module 3, CO gas sensor 4, and manual positioning button 5, and output control signals after analyzing and processing them according to the built-in intelligent edge emergency evacuation control system algorithm.

[0033] It should be noted that the PLC control module 7 is integrated inside the emergency lighting fixture body and is electrically connected to each of the other modules within the fixture body (millimeter-wave radar sensor module 1, thermal imaging sensor 2, voice recognition module 3, CO gas sensor 4, and manual positioning button 5) via their respective electrical connection lines. The outputs of these modules are connected to the corresponding numbered input ports of the PLC control module 7 (e.g., millimeter-wave radar sensor module 1 is connected to port I2.0, thermal imaging sensor 2 to port I3.0, voice recognition module 3 to port I4.0, CO gas sensor 4 to port I5.0, and manual positioning button 5, as mentioned above, to port I3.0), to transmit the signals they collect (human body signal, heat signal, voice signal, CO concentration signal, and manual positioning signal, etc.) to the PLC control module 7. Meanwhile, the output of the PLC control module 7 is connected to the drive unit 8 (used to control the lighting and closing of the evacuation lights 10) and the input of the audible alarm 9. Based on the built-in control logic and algorithm, the PLC control module 7 sends control signals to the drive unit 8 and the audible alarm 9 to control the evacuation lights 10 and the audible alarm 9.

[0034] PLC control module 7 is the core control unit of the entire emergency lighting system, and it mainly performs the following functions:

[0035] Signal reception and integration: It can continuously and stably receive various signals transmitted from millimeter-wave radar sensing module 1, thermal imaging sensor 2, voice recognition module 3, CO gas sensor 4, and manual positioning button 5, and collect and preliminarily organize these scattered and different types of signals to provide a data foundation for subsequent analysis and processing.

[0036] Intelligent Analysis and Processing: Based on its internally preset intelligent edge emergency evacuation control system algorithm, this system performs in-depth analysis and processing of these signals. This algorithm possesses powerful data fusion capabilities, comprehensively considering data from different sensors and automatically weighting and calculating the importance and reliability of various signals. This generates more accurate coordinates and other crucial data for trapped personnel, effectively improving the accuracy of personnel location in complex environments (such as dense smoke, high temperatures, and other adverse conditions). It avoids positioning deviations or errors that may be caused by the failure of a single sensor, ensuring the accuracy of rescue information.

[0037] Control signal output: Based on the analyzed and processed results and the preset control logic, the PLC control module 7 can accurately output corresponding control signals to the drive unit 8 and the audible alarm 9. For example, upon receiving a fire signal, it first controls the first evacuation lighting 10 to illuminate, providing basic lighting guidance; upon receiving a human body induction signal or a manual button signal, it further controls the second evacuation lighting 10 to illuminate, and simultaneously activates the audible alarm 9 to emit an alarm sound, providing firefighters with clearer and more specific location indications of trapped personnel, assisting in the efficient conduct of rescue work, improving rescue efficiency, and reducing the risk of casualties and property damage caused by fire.

[0038] Signal Acquisition Phase: During a fire, the various sensor modules within the emergency lighting fixture (millimeter-wave radar sensor 1, thermal imaging sensor 2, voice recognition module 3, and CO gas sensor 4) activate according to their respective set parameters and detection methods, acquiring corresponding signals (human body signals, heat signals, voice signals, CO concentration signals, etc.) and transmitting them to the PLC control module via their respective electrical connections. Simultaneously, if a trapped person can reach and press the manual positioning button 5, this button will also send a manual positioning switch signal to the PLC control module 7 via its wire connection to the PLC control module 7.

[0039] Signal processing and analysis stage: After receiving the signals transmitted from the above modules, PLC control module 7 uses its internal intelligent edge emergency evacuation control system algorithm to fuse these multi-source signals and automatically calculate key information such as the coordinates of the trapped personnel. This algorithm comprehensively considers the characteristics and reliability of each sensor signal, eliminates possible interference signals or erroneous information, and finally generates relatively accurate location data of the trapped personnel, thus providing a precise basis for subsequent rescue instructions.

[0040] Control Execution Phase: Based on the analyzed and processed signals and the preset control logic, the PLC control module sends corresponding control signals to the drive unit 8 and the audible alarm 9. Upon receiving the signal, the drive unit 8 controls the two evacuation lights 10 to operate according to the set parameters. One evacuation light 10 is activated by the PLC control module 7 upon receiving a fire alarm signal, providing basic lighting guidance at the fire scene. The other evacuation light 10 is activated upon receiving a human body induction signal or a manual button signal from the PLC control module 7, and is deactivated after a 5-second delay after the induction or button signal disappears, dynamically indicating the approximate area of ​​trapped personnel to firefighters. Simultaneously, the audible alarm 9 emits an audible alarm signal upon receiving the signal from the PLC control module 7, further assisting firefighters in quickly and accurately locating trapped personnel, improving rescue efficiency and effectiveness.

[0041] In some specific embodiments, the drive unit 8 is integrated into the base of the emergency lighting fixture body and connected to the PLC control module and the two evacuation lights 10. It is used to control the lighting and turning off of the two evacuation lights 10 according to the signal output by the PLC control module 7.

[0042] In some specific embodiments, the audible alarm 9 is integrated inside the emergency lighting fixture and electrically connected to the PLC control module, used to emit an audible alarm signal after receiving a signal from the PLC control module 7.

[0043] In some specific embodiments, one of the two evacuation lights 10 is turned on by the PLC control module 7 after receiving a fire signal; the other light is turned on by the PLC control module 7 after receiving a human body induction signal or a manual button signal, and is turned off after a 5-second delay after the induction signal or button signal disappears.

[0044] In some specific embodiments, an emergency lighting distribution box 6 is also included. The emergency lighting distribution box 6 is used to provide power to the entire device. Its output terminal is connected to the PLC control module 7 and sends a fire signal to the PLC control module 7. After receiving the fire signal, the PLC control module 7 controls one of the two evacuation lights 10 to light up.

[0045] In some specific embodiments, the millimeter-wave radar sensing module 1 has a ranging range of 1.5-8m, a horizontal viewing angle of 80°, and a vertical viewing angle of 18°.

[0046] In some specific embodiments, the PLC control module 7 is embedded with a lightweight AI algorithm for an intelligent edge emergency evacuation lighting system. This algorithm can perform multi-data fusion on the input signals from the millimeter-wave radar sensing module 1, thermal imaging sensor 2, voice recognition module 3, CO gas sensor 4, and manual positioning button 5, and automatically weight the data from different sensors to generate the final coordinates.

[0047] The working principle of this utility model:

[0048] When a fire occurs, the emergency lighting distribution box 6 sends a fire signal to the PLC controller. After receiving the signal, the PLC controller outputs signal Q1.0 to the RN1 terminal of the drive unit 8 to perform the action. After the RN1 terminal is energized, it controls the first evacuation lighting to turn on.

[0049] When the PLC controller receives a fire signal at port I1.0, one lighting circuit illuminates. Simultaneously, the indoor millimeter-wave radar personnel sensor module 1 activates, sending a signal from terminal RO to terminal I2.0 of the PLC controller. After receiving the signal and analyzing it using an algorithm, the PLC controller outputs signal Q2.0 to terminal RN2 of the drive unit 8. Upon energization, the relay closes, activating the second lighting circuit and the audible alarm 9. Simultaneously, the address code of the second lighting circuit is transmitted back to the human body location signal from its illuminated location to the emergency alarm host. When the human body sensor module is not activated, the second lighting circuit and audible alarm 9 turn off after a 5-second delay, while the first lighting circuit remains constantly lit.

[0050] When the PLC controller receives a fire signal at port I1.0, one of the lights turns on. Simultaneously, when the indoor thermal imaging sensor 2 activates, it sends a signal from terminal RO to terminal I3.0 of the PLC controller. After receiving the signal and analyzing it using an algorithm, the PLC controller outputs signal Q2.0 to terminal RN2 of the drive unit 8. Upon energization, the relay closes, activating the second lighting circuit and the audible alarm 9. Simultaneously, the address code of the second lighting circuit is transmitted back to the human body location signal and the emergency alarm host. When the human body detection module does not activate, the second lighting circuit and the audible alarm 9 turn off after a 5-second delay, while the first lighting circuit remains constantly lit.

[0051] When the PLC controller's I1.0 port receives a fire signal, one lighting circuit illuminates. Simultaneously, the indoor voice recognition module activates, sending a signal from the RO terminal to the PLC controller's I4.0 terminal. Upon receiving the signal and analyzing it using an algorithm, the PLC controller outputs signal Q2.0 to the RN2 terminal of the drive unit 8. This energizes the relay, triggering the second lighting circuit and activating the audible alarm 9. Simultaneously, the address code of the second lighting circuit is transmitted back to the human body location signal and the emergency alarm host. When the human body detection module is not activated, the second lighting circuit and audible alarm 9 turn off after a 5-second delay, while the first lighting circuit remains constantly lit.

[0052] When the PLC controller's I1.0 port receives a fire signal, one lighting circuit illuminates. Simultaneously, when the indoor human location button 5 is activated, a signal is sent from the signal terminal to the PLC controller's I3.0 terminal. After receiving the signal and analyzing it using an algorithm, the PLC controller outputs signal Q3.0 to the RN3 terminal of the drive unit 8. Upon energization, the relay closes, activating the second evacuation lighting circuit and the audible alarm 9. Simultaneously, the address code of the second lighting fixture is transmitted back to the human location signal host. When the human location sensor module is not activated, the second lighting circuit and the audible alarm 9 turn off after a 5-second delay, while the first lighting circuit remains constantly lit.

[0053] When the I1.0 port of the PLC controller is not connected to a fire signal, the PLC will not output an action signal when the human body induction module 1 and the manual button module are activated.

[0054] When a single sensor fails, the input signals from other sensors are analyzed by the PLC's internal logic algorithm, and the output signal Q3.0 is sent to the RN3 terminal of the drive unit 8. Upon energization, the relay closes, triggering the second-channel evacuation lighting and the audible alarm 9. Simultaneously, the address code of the second-channel lighting fixture is transmitted back to the human location signal host. This ensures accuracy.

[0055] The working method of this utility model

[0056] Signal Acquisition Phase: In the event of a fire, the millimeter-wave radar sensor module 1, thermal imaging sensor 2, voice recognition module 3, and CO gas sensor within the emergency lighting fixture activate according to pre-defined parameters and methods. The millimeter-wave radar sensor module 1, ceiling-mounted, emits millimeter-wave signals into the detection area and receives signals reflected from the human body, thereby detecting human signals and transmitting them to the PLC control module. The thermal imaging sensor 2 senses the heat signals emitted by the human body and transmits the signals to the PLC control module. The voice recognition module 3 identifies the distress calls from trapped individuals and also transmits them to the PLC control module. The CO gas sensor detects the CO gas concentration in the surrounding environment and transmits the concentration signal to the PLC control module. Simultaneously, if the manual positioning button 5 is triggered, it also transmits a signal to the PLC control module.

[0057] Signal processing and analysis stage: The PLC control module is integrated inside the emergency lighting fixture. After receiving signals from the aforementioned modules, it analyzes and processes them according to its internally preset intelligent edge emergency evacuation control system algorithm. This algorithm can perform multi-data fusion on signals from different sensors and automatically weight the data from different sensors to generate the final coordinate location information of trapped personnel.

[0058] Control Execution Phase: Based on the analyzed and processed signals and corresponding control logic, the PLC control module sends control signals to the drive unit 8 and the audible alarm 9. The two evacuation lights 10 on the emergency lighting fixture are electrically connected to the PLC control module via the drive unit 8, forming independent working circuits. Upon receiving a fire alarm signal, one evacuation light 10 is activated by the PLC control module; the other evacuation light 10 is activated after the PLC control module receives a human body induction signal or a manual button signal, and is deactivated after a 5-second delay once the induction or button signal disappears. The audible alarm 9 emits an audible alarm signal upon receiving a signal from the PLC control module, thereby alerting firefighters to the approximate location of trapped personnel and assisting in rescue operations.

[0059] Example 1: Single-room fire rescue application

[0060] Imagine a small office equipped with an integrated emergency lighting system that can detect the location of people in real time. One day, a fire breaks out in the office. The emergency lighting distribution box 6 quickly sends a fire signal to the PLC control module. Upon receiving this signal, the PLC control module immediately activates one of the evacuation lights 10, providing basic lighting guidance for the people inside the room.

[0061] Simultaneously, the millimeter-wave radar sensor 1, thermal imaging sensor 2, voice recognition module 3, and CO gas sensor in the room begin to operate. The millimeter-wave radar sensor 1 detects human signals within its set range (1.5-8m, horizontal viewing angle 80°, vertical viewing angle 18°). If a trapped person is in a corner of the room, their millimeter-wave signal is reflected back and received by the module, then transmitted to the PLC control module. The thermal imaging sensor 2 also senses and transmits the heat signal generated by the trapped person's body. If the trapped person calls for help, the voice recognition module 3 recognizes the voice signal and transmits it to the PLC control module. The CO gas sensor monitors the CO gas concentration in the room caused by the fire in real time and transmits the data to the PLC control module.

[0062] The PLC control module utilizes a lightweight AI algorithm embedded in the intelligent edge emergency evacuation lighting system to fuse these multi-source signals and automatically calculate the relatively accurate coordinates of the trapped personnel. Subsequently, the PLC control module controls another evacuation light (10) to illuminate, and the audible alarm (9) sounds, helping firefighters quickly locate and rescue the trapped personnel based on the sound and light signals and the generated coordinates. Simultaneously, the trapped personnel's location information can be transmitted back to the emergency alarm host, giving external rescue personnel a clearer understanding of the situation inside, effectively improving rescue efficiency, reducing rescue time, and lowering the risk of casualties.

[0063] Example 2: Application in Fire Rescue in Large Shopping Malls

[0064] A fire broke out in an area on the first floor of a large shopping mall. This area was equipped with multiple sets of integrated emergency lighting devices capable of real-time human location detection. Upon the fire, the emergency lighting distribution box 6 immediately sent a fire signal to the PLC control modules of each device. After receiving the signal, the PLC control modules of each device activated all one of their evacuation lights 10, providing basic lighting guidance for evacuees and preventing panic and confusion in the dark.

[0065] As the fire progressed, the millimeter-wave radar sensing module 1, thermal imaging sensor 2, voice recognition module 3, and CO gas sensor in each device continued to operate. Specifically, the millimeter-wave radar sensing module 1 continuously detected signals from trapped personnel within its designated detection area; the thermal imaging sensor 2 captured the heat signals of the trapped personnel; the voice recognition module 3 was ready to recognize cries for help from the trapped personnel; and the CO gas sensor detected changes in CO concentration at different locations within the mall and transmitted the corresponding signals to the PLC control modules of each device.

[0066] The PLC control modules of each device use built-in intelligent algorithms to analyze and process these multi-source signals, accurately calculating the location coordinates of each trapped person in the mall. When a trapped person is detected, the PLC control module controls the second evacuation lighting 10 to light up and simultaneously triggers the audible alarm 9 to sound, providing firefighters on site with a clear indication of the trapped person's location. Firefighters can use these audible and visual signals, along with detailed location information received from the emergency alarm host, to quickly and accurately locate and rescue trapped persons in the complex mall environment, greatly improving rescue effectiveness, ensuring the safety of people in the mall, and reducing losses caused by the fire.

[0067] By adopting the above-disclosed technical solution of this utility model, the following beneficial effects are obtained:

[0068] This invention enhances the level of fire rescue. In the event of a fire, existing devices cannot promptly monitor and locate personnel, delaying the optimal rescue period. This device can monitor personnel location in real time and provides audible and visual alarms during on-site rescue, making it easier to identify trapped personnel and provide more timely assistance, thereby reducing loss of life and property. Through multi-sensor data fusion, the algorithm automatically weights data from different sensors to generate final coordinates, improving the accuracy of personnel positioning in complex environments (dense smoke, high temperatures) and avoiding the risk of single sensor failure. Through an internally embedded edge computing model, it analyzes the movement trajectory of trapped personnel, predicts their possible location, and updates evacuation routes in real time. This solves the lag problem of traditional static positioning, dynamically optimizes rescue routes, and improves the escape success rate. This invention effectively surpasses the traditional single evacuation lighting function, adding more accurate and real-time highly reliable monitoring technology. It can monitor the operational status of personnel in real time, with advantages such as high reliability and remote monitoring, effectively reducing casualties, maintaining social harmony and stability, and facilitating widespread application.

Claims

1. An integrated emergency lighting device capable of detecting human presence in real time, characterized in that, The emergency lighting fixture includes an emergency lighting fixture body, which integrates a millimeter-wave radar sensing module (1), a thermal imaging sensor (2), a voice recognition module (3), a CO gas sensor (4), a PLC control module (7), a drive unit (8), and an audible alarm (9). The millimeter-wave radar sensing module (1), thermal imaging sensor (2), voice recognition module (3), CO gas sensor (4), drive unit (8), and audible alarm (9) are all electrically connected to the PLC control module (7). The emergency lighting fixture body is equipped with two evacuation lights (10), which are electrically connected to the PLC control module (7) through the drive unit (8) to form independent working circuits that do not affect each other. The millimeter-wave radar sensing module (1) is ceiling-mounted inside the emergency lighting fixture body and is used to detect human body signals within the detection area and transmit the detected signals to the PLC control module (7); the thermal imaging sensor (2) is located inside the emergency lighting fixture body and is used to sense human body heat signals and transmit the signals to the PLC control module (7); the voice recognition module (3) is located inside the emergency lighting fixture body and is used to recognize the distress voice signals of trapped personnel and transmit the signals to the PLC control module (7); the CO gas sensor (4) is located inside the emergency lighting fixture body and is used to detect carbon monoxide gas concentration and transmit the signals to the PLC control module (7).

2. The integrated emergency lighting device capable of detecting human position in real time according to claim 1, wherein, It also includes a manual positioning button (5), which is installed on the wall at a height of 1.1m from the ground and is electrically connected to the PLC control module (7).

3. The integrated emergency lighting device capable of detecting human position in real time according to claim 1, wherein, The PLC control module (7) is integrated inside the body of the emergency lighting fixture. It is used to receive signals transmitted by the millimeter-wave radar sensing module (1), thermal imaging sensor (2), voice recognition module (3), CO gas sensor (4) and manual positioning button (5), and output control signals after analysis and processing according to the built-in intelligent edge emergency evacuation control system algorithm.

4. The integrated emergency lighting device capable of real-time human body location detection according to claim 1, characterized in that, The drive unit (8) is integrated into the base of the emergency lighting fixture body and is connected to the PLC control module (7) and the two evacuation lights (10). It is used to control the lighting and turning off of the two evacuation lights (10) according to the signal output by the PLC control module (7).

5. The integrated emergency lighting device capable of real-time human body location detection according to claim 1, characterized in that, The audible alarm (9) is integrated inside the body of the emergency lighting fixture and is electrically connected to the PLC control module (7). It is used to emit an audible alarm signal after receiving a signal from the PLC control module (7).

6. The integrated emergency lighting device capable of real-time human body location detection according to claim 1, characterized in that, One of the two evacuation lights (10) is turned on by the PLC control module (7) after receiving a fire signal; the other light is turned on by the PLC control module (7) after receiving a human body induction signal or a manual button signal, and is turned off after a 5-second delay after the induction signal or button signal disappears.

7. The integrated emergency lighting device capable of real-time human body location detection according to claim 1, characterized in that, It also includes an emergency lighting distribution box, which provides power to the entire device. Its output is connected to the PLC control module (7) and sends a fire signal to the PLC control module (7). After receiving the fire signal, the PLC control module (7) controls one of the two evacuation lights (10) to light up.

8. The integrated emergency lighting device capable of real-time human body location detection according to claim 1, characterized in that, The millimeter-wave radar sensing module (1) has a ranging range of 1.5-8m, a horizontal viewing angle of 80°, and a vertical viewing angle of 18°.

9. The integrated emergency lighting device capable of real-time human body location detection according to claim 3, characterized in that, The PLC control module (7) is embedded with a lightweight AI algorithm for an intelligent edge emergency evacuation lighting system. This algorithm can perform multi-data fusion on the input signals from the millimeter-wave radar sensing module (1), the thermal imaging sensor (2), the voice recognition module (3), the CO gas sensor (4), and the manual positioning button (5), and automatically weight the data from different sensors to generate the final coordinates.

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