An intelligent monitoring and alarm system and method for escape routes

Abstract

This application discloses an intelligent monitoring and alarm system and method for escape passages, belonging to the field of monitoring and early warning technology. The system includes: an identification and early warning module for collecting and analyzing various monitoring data to output accident early warning signals of different levels; a site recording module for collecting and storing environmental and personnel status data of the construction site; an accident alarm module for receiving and responding to accident early warning signals to output on-site audible and visual prompts and alarm signals from the monitoring backend; a communication module for realizing communication between the construction site equipment and the monitoring backend; and a control module for coordinating and controlling the working status of each functional module. The above scheme can monitor relevant parameters in the tunnel and analyze and warn of accidents. When an accident occurs, it can promptly guide on-site construction personnel into the escape passage and send the accident site environmental and personnel status data to the backend, which is conducive to the accident rescue and investigation work and reduces the casualty rate of accidents.

Description

Technical Field

[0001] This application relates to the field of monitoring and early warning technology, and to an intelligent monitoring and alarm system and method for escape routes. Background Technology

[0002] Taking tunnel construction as an example, the geological conditions are complex and prone to sudden geological disasters, making various safety accidents likely to occur during construction. The "Technical Specifications for Safety in Highway Engineering Construction" and the "Guidelines for Standardization of Safety in Highway and Waterway Engineering Construction" stipulate that escape routes should be provided during tunnel excavation in areas with weak surrounding rock. The escape routes should use φ800mm steel pipes. The starting point of the escape route should be at the newly constructed end of the secondary lining, no more than 5 meters from the end of the secondary lining. The route should extend from the lining working face to a suitable location within 20 meters of the excavation face. The pipes should be laid along one side of the initial support towards the working face, with working ropes pre-installed inside the pipes to facilitate escape, rescue, communication, and the transport of various items.

[0003] In practical applications, existing escape routes still suffer from a lack of intelligence, which hinders accident rescue efforts. This is mainly reflected in the following aspects:

[0004] (1) During tunnel construction, if a site collapse or door collapse occurs, the communication lines between the construction site and the outside world will often be cut off due to the collapse or collapse, making it impossible for the back-end and related rescue personnel to clearly understand the type of accident and related specific circumstances.

[0005] (2) When an accident occurs, it is impossible to issue an alarm or warning in a timely manner, which prevents personnel on the construction site from entering the escape passage in the first instance; and the existing escape passage technology cannot effectively count the number and distribution of personnel entering the escape passage.

[0006] The aforementioned problems increase the difficulty of rescue operations at tunnel construction accident sites and reduce the survival rate of on-site construction workers. Therefore, upgrading and transforming escape routes with intelligent and digital technologies is of great significance. Summary of the Invention

[0007] To address the common problem that existing tunnel construction escape passages generally have low levels of intelligence, making it difficult to provide accurate early warnings of accidents and hindering timely determination of the cause of the accident and the situation of personnel on site after an accident, thus impeding rescue efforts, this application aims to provide an intelligent monitoring and alarm system for escape passages. This system can monitor relevant parameters within the tunnel and analyze and issue early warnings for accidents. After an accident occurs, it can promptly guide on-site construction personnel into the escape passage and send data on the accident scene environment and personnel situation to the backend, facilitating accident rescue and investigation, and reducing the casualty rate. Based on the aforementioned intelligent monitoring and alarm system, this application also proposes an intelligent monitoring and alarm method for escape passages, the specific scheme of which is as follows:

[0008] An intelligent monitoring and alarm system for escape routes includes:

[0009] The identification and early warning module is configured to collect various monitoring data and, based on a set identification model, analyze and output accident early warning signals of different levels.

[0010] The on-site recording module includes a data storage component and a personnel status acquisition component, configured to continuously collect and store, and / or collect and store the ID information and location information of each person at the construction site in response to the accident warning signal;

[0011] The accident alarm module is configured to receive the accident warning signal and respond by outputting corresponding on-site audio-visual prompts and monitoring backend alarm signals.

[0012] The communication module includes at least two data communication links, configured to enable communication between the construction site equipment and the monitoring backend, receive the accident warning signal and the status information of the personnel at the construction site and output them to the monitoring backend.

[0013] The control module is configured to coordinate and control the working status of each functional module.

[0014] The personnel status acquisition component includes:

[0015] The on-site personnel monitoring unit includes an image recognition submodule that is connected to the on-site image acquisition device for identifying personnel ID information and their location in the image, and for identifying and outputting first personnel ID information and first location information.

[0016] The personnel monitoring unit for the escape route includes radio frequency tags worn by on-site personnel and multiple radio frequency identification devices installed in the escape route. In response to a specific level of accident warning signal, it identifies and outputs the ID information and location information of the second person entering the escape route.

[0017] By combining the collected monitoring data with the established algorithm model, the above technical solution can provide early warnings or identify the type of accidents. This allows the accident alarm module to output corresponding audible and visual alerts in advance, prompting on-site construction personnel to take appropriate evasive action. Image acquisition devices installed at the construction site, combined with image recognition algorithms, identify the ID information and location of each person, thus revealing the status of each worker at the time of the accident. Furthermore, RFID tags worn by workers and RFID readers placed in escape routes clearly identify the personnel entering the escape routes and their locations within them. This solution provides early warnings before accidents occur, reducing on-site casualties. After an accident, the monitoring backend can quickly identify the type of accident through the early warning module, and simultaneously, the on-site recording module provides immediate information on the distribution of personnel at the construction site, facilitating rapid and accurate development of rescue and hazard mitigation plans and reducing the casualty rate.

[0018] Furthermore, the identification and early warning module includes a monitoring data acquisition component and a monitoring data processing component, wherein,

[0019] The monitoring data acquisition component includes:

[0020] Vibration signal detection components include multiple vibration detection sensors installed in escape routes and construction sites to detect and output vibration detection signals;

[0021] The sound signal detection device includes multiple sound sensors installed in escape routes and construction sites to detect and output sound detection signals.

[0022] Stress detection components, including resistance strain gauges or fiber optic strain gauges, are used to detect stress changes at designated locations on the construction site and output stress detection signals.

[0023] Image acquisition device, including multiple cameras, is used to capture and output image information of a designated area at the construction site;

[0024] A temperature detection device, comprising multiple temperature sensors, for detecting and outputting temperature detection signals;

[0025] A humidity detection device, comprising multiple humidity sensors, for detecting and outputting humidity detection signals;

[0026] The monitoring data processing component includes:

[0027] The data converter connects to the monitoring data acquisition component and is used to convert various detection signals into a set data format and output them.

[0028] The data processing unit has a built-in recognition model for predicting or identifying the type, level, and location of accidents based on various detection signals. It receives various converted detection signal data and generates different levels of accident warning signals based on the recognition model.

[0029] The output component is configured to connect to the on-site recording module, the accident alarm module, and the communication module, receive accident warning signals of different levels, and output them to the designated module after data conversion.

[0030] The above technical solutions enable early warning of accidents based on multiple monitoring data, which helps improve the accuracy of accident early warning at construction sites.

[0031] Furthermore, the on-site recording module also includes an environmental status acquisition component, configured to be connected to the monitoring data acquisition component for acquiring and storing the detection signals output by each detection device and storing them in association with the coordinates of the location of the detection device;

[0032] The data storage component includes:

[0033] The first data storage device is configured to be data-connected to the personnel status acquisition component, the environment status acquisition component and the communication module, and is used to temporarily store the detection signal data collected within a set time period and their associated location coordinates, personnel ID information and location information.

[0034] The second data storage device is associated with a data compression algorithm and is configured to be connected to the first data storage device for acquiring and compressing the detection signal data collected in each time period and its associated location coordinates, personnel ID information and location information.

[0035] Through the above technical solution, the personnel status data and environmental status data collected at the construction site are cached in the first data storage device and transmitted to the monitoring backend by the communication module for data analysis and monitoring; on the other hand, they are stored in the second data storage device on site to avoid data loss due to communication interruption or accidents.

[0036] Furthermore, the accident alarm module includes an on-site alarm component and a remote alarm component, wherein,

[0037] The on-site warning component includes:

[0038] The audio-visual category storage submodule is configured to associate and store the audio-visual categories corresponding to each level of accident warning signals;

[0039] The escape route storage submodule is configured to associate and store the escape routes and precautions corresponding to each level of accident warning signals;

[0040] The sound and light control submodule is data-connected to the identification and early warning module and the sound and light category storage submodule, receives the accident early warning signal and analyzes its early warning level, and outputs the corresponding sound and light control signal.

[0041] The intelligent escape route generation submodule is connected to the identification and early warning module and the on-site recording module. It receives the accident early warning signal to determine the accident level, and obtains and generates the best escape route for each person based on the personnel ID information and their location information at the construction site.

[0042] The escape guidance control submodule is data-connected to the intelligent escape path generation submodule, receives the optimal escape path, and generates guidance control signals;

[0043] The sound and light prompt submodule includes multiple LED lights of different colors and alarms connected to the sound and light control submodule, and outputs sound and light prompt information in response to the sound and light control signal;

[0044] The path indication submodule includes multiple projection lights and a voice player. It receives the guidance control signal output by the escape guidance control submodule, projects guidance signs in a set area at the construction site, and plays voice prompts.

[0045] The remote warning component includes a terminal display device that is connected to the identification and warning module via a communication module.

[0046] Through the above technical solutions, when an accident is detected to have occurred or is about to occur, the on-site warning component can quickly determine the best escape and avoidance route for each person based on their location. This allows on-site personnel to quickly enter the escape route, reducing the probability of casualties at the construction site after an accident. The on-site sound and light prompt submodule can quickly guide and prompt on-site personnel to evacuate and avoid danger when an accident occurs, thereby reducing the probability of casualties after an accident.

[0047] Furthermore, the communication module includes:

[0048] The communication link detection submodule is configured to detect the data communication status of each communication link and output the communication link reliability assessment results.

[0049] The communication link selection control submodule is configured to associate and store different levels of accident warning signals and different reliability assessment results with communication link categories or combinations thereof.

[0050] The communication control submodule is configured to be connected to the communication link detection submodule and the identification and early warning module. Based on the association relationship stored in the communication link selection control submodule, it can autonomously or under control select a set type of communication link or a combination of different types of communication links to realize the communication connection between the construction site equipment and the monitoring backend.

[0051] The communication link includes:

[0052] The 4G / 5G communication submodule is configured to be connected to the communication control submodule, receive the accident warning signal output by the identification and warning module and the personnel ID information and location information output by the personnel status acquisition component, and send them to the monitoring backend.

[0053] The fiber optic communication submodule includes a signal modulation unit and a transmission fiber. The main body of the transmission fiber is configured in the escape passage. The signal modulation unit is controlled and connected to the communication control submodule and data-connected to the on-site recording module. It is used to acquire and transmit the detection signal data collected at each time period and its associated location coordinates, personnel ID information and location information to the monitoring backend.

[0054] The Bluetooth networking submodule is connected to the communication control submodule and to the field recording module. It includes multiple communication relay nodes set at intervals within the escape route, used to transmit data from the data storage component to the monitoring backend via the Bluetooth communication network.

[0055] Through the above technical solution, different levels of accident warning signals correspond to different communication links or combinations thereof, which can ensure that various environmental status information and personnel status information data of the construction site can be transmitted to the monitoring backend in a timely and stable manner after an accident occurs. This allows external personnel to know the detailed situation of the construction site and have an intuitive and clear understanding of information such as the type of accident, which facilitates the formulation of hazard mitigation and rescue plans and reduces the probability of casualties caused by accidents. In addition, in the above solution, different types of communication links are responsible for the transmission of different types of data. Communication links with smaller communication bandwidth and more susceptible to accident impacts are mainly responsible for transmitting short and necessary data, while communication links with communication bandwidth less susceptible to interference, such as fiber optic communication sub-modules, are used to transmit detailed and massive amounts of data, effectively ensuring communication quality.

[0056] Furthermore, the communication control submodule also includes or is connected to:

[0057] The data importance level determination unit is configured to be connected to the identification and early warning module, and classifies and marks each detection signal data into importance levels based on the correlation between each detection signal data and the accident type and accident location determination;

[0058] The data size detection unit is configured to connect to the field recording module and is used to calculate and mark the data volume of various detection signal data, personnel ID information and location information in the data storage component.

[0059] The communication duration estimation unit is configured to be connected to the communication module to obtain the data communication status of each communication link, and generate the data transmission duration required for each communication link for each data to be transmitted based on the data transmission bandwidth of each communication link and the data volume of each data to be transmitted.

[0060] The communication link allocation unit selects the corresponding communication link for each piece of data to be transmitted based on the importance level, data volume, and data transmission duration required for each communication link, combined with the reliability assessment results of each communication link and a set algorithm.

[0061] The above technical solution can allocate appropriate data transmission links to each data to be transmitted based on the importance level of the data to be transmitted and the reliability assessment results of the communication link. This ensures that various detection signal data, personnel ID information and location information data at the construction site can be transmitted to the monitoring backend, which facilitates the formulation of hazard mitigation and rescue plans and reduces the casualty rate of accidents.

[0062] Furthermore, the intelligent monitoring and alarm system also includes components installed in the escape routes:

[0063] The SOS call submodule includes a button trigger component and a voice trigger component set at a predetermined position in the escape passage. It is connected to the communication module and detects and outputs an SOS signal to the monitoring backend according to the triggering status of the button trigger component or the voice trigger component.

[0064] The real-time communication submodule, including a microphone and a player, is used to collect voice information of people in the escape route and output it to the monitoring backend and play the voice data from the monitoring backend.

[0065] The infrared sensing submodule includes multiple human infrared detection sensors set at designated locations in the escape passage, used to detect the number of people in the escape passage and output human detection signals from the escape passage to the monitoring backend.

[0066] The emergency medical care submodule includes a first aid kit and a tablet computer mounted on the first aid kit, the tablet computer being loaded with first aid instruction video data.

[0067] Through the above technical solution, personnel entering the escape passage can send a rescue request to the monitoring backend outside the tunnel through the SOS call submodule. The voice call submodule can report the specific situation of the escape passage and construction site to personnel outside the tunnel, so that relevant personnel can understand the accident situation and the current status of personnel. The infrared sensing submodule can further determine the number of personnel in the escape passage. Combined with the output results of the passage personnel monitoring unit, the statistical accuracy of the number of trapped personnel can be improved.

[0068] Furthermore, the intelligent monitoring and alarm system also includes a passage integrity detection module for detecting damage to escape routes, comprising:

[0069] The sound determination submodule is configured to detect the voiceprint data corresponding to the sound source transmitted from a set location within the escape passage to a target location, and determine the degree of damage to the escape passage based on the voiceprint data; and / or

[0070] The fiber optic determination submodule includes an optical fiber arranged along the length of the escape channel and an optical signal transceiver module, which determines the degree of damage to the escape channel based on the wavelength or phase change of the optical signal in the optical fiber.

[0071] The above technical solutions can be used to assess the damage to escape routes, which is beneficial for the evacuation of trapped personnel and the implementation of rescue operations.

[0072] Furthermore, the monitoring and alarm system also includes:

[0073] The personnel movement monitoring module is installed at the construction site and in the personal devices of each person to monitor the position and posture of each person at the construction site.

[0074] The response speed detection module is connected to the accident alarm module and the personnel movement monitoring module. It receives the accident warning signal and starts timing. It analyzes and calculates the position and posture changes of each person at the construction site within a set time period after the accident warning signal is issued. Based on the analysis results, it outputs a vibration warning signal.

[0075] The vibration alarm module includes multiple vibrators worn by on-site construction personnel. The vibrators are wirelessly connected to the control module and receive and respond to the vibration alarm signal by outputting vibration actions at a set frequency.

[0076] Furthermore, the personnel movement monitoring module includes:

[0077] The positioning unit is configured to monitor the motion parameters of each person in real time, including displacement, orientation angle, height, and tilt angle, via an inertial navigation module, and transmit the data to the personnel positioning and monitoring platform via a wireless receiving terminal.

[0078] The wireless receiving terminal is configured to receive and store wireless data sent by the positioning unit, perform preliminary analysis, and output the data to the personnel positioning and monitoring platform.

[0079] The personnel positioning and monitoring platform integrates and outputs real-time data on the location, movement trajectory, and posture of each person at the construction site based on the received motion parameter data.

[0080] Using the above technical solution, when the on-site construction personnel respond too slowly after an accident warning is issued, a vibration alarm can be output for each individual to remind the personnel on the construction site to evacuate to the escape route as soon as possible.

[0081] An intelligent monitoring and alarm method for escape routes, based on the aforementioned intelligent monitoring and alarm system for escape routes, includes:

[0082] Establish and store accident identification models that reflect the correlation between each accident type and various monitoring data or their combinations;

[0083] Collect and acquire various monitoring data, and analyze and output accident early warning signals of different levels based on the accident identification model;

[0084] The system acquires on-site images and outputs the first person's ID information and first location information based on image recognition algorithms.

[0085] Collect and store environmental status data at the construction site;

[0086] Responding to accident warning signals of a specific level:

[0087] The accident alarm module outputs corresponding on-site audio and visual prompts and alarm signals from the monitoring backend.

[0088] By using radio frequency identification devices configured in the escape route and radio frequency tags on personnel, the second person's ID information and second location information entering the escape route are identified and output;

[0089] The system detects the data communication status of each communication link in the communication module, outputs the reliability assessment results of the communication links, and selects the corresponding communication link category or combination to output various monitoring data, personnel ID information and location details to the monitoring backend.

[0090] Furthermore, the method also includes:

[0091] The system associates and stores the escape routes and precautions corresponding to each level of accident warning signals.

[0092] Receive the accident warning signal and determine the accident level, obtain and generate the best escape route for each person based on the first person ID information and the first location information;

[0093] The system receives the optimal escape route and generates a guidance control signal. The control route indication submodule projects guidance signs in a designated area at the construction site and plays voice prompts.

[0094] This application includes at least one of the following beneficial effects:

[0095] (1) By collecting various monitoring data and combining them with the established accident identification model, it is possible to provide early warning and identify the type of accident. Thus, the accident alarm module can output corresponding sound and light warning signals in advance to prompt on-site construction personnel to take corresponding risk avoidance actions.

[0096] (2) By using image acquisition devices set up at the construction site and combining them with image recognition algorithms, the ID information and location of each person can be identified. This allows us to know the status of each construction worker when the accident occurs. By using the radio frequency tags worn by the construction workers and the radio frequency identification devices set up in the escape passage, we can clearly know the personnel information of the construction workers who have entered the escape passage and their location information in the escape passage. This facilitates the formulation of subsequent rescue plans and reduces the probability of casualties.

[0097] (3) The above scheme can provide early warning before an accident occurs, reducing casualties on site. After an accident occurs, the monitoring backend can quickly identify the type of accident through the early warning module, and at the same time, the on-site recording module can immediately know the distribution of personnel on the construction site, which is convenient for quickly and accurately formulating rescue and risk mitigation plans and reducing the casualty rate of the accident. Attached Figure Description

[0098] Figure 1 This is a schematic diagram of the overall functional module structure of the monitoring and alarm system of this application;

[0099] Figure 2 This is a schematic diagram of the functional framework of the early warning module in this application;

[0100] Figure 3 This is a schematic diagram of the functional framework of the communication module in this application;

[0101] Figure 4 This is a schematic diagram of the monitoring and alarm method of this application.

[0102] Reference numerals: 100, Identification and Early Warning Module; 110, Monitoring Data Acquisition Component; 111, Vibration Signal Detection Component; 112, Sound Signal Detection Component; 113, Stress Detection Component; 114, Image Acquisition Component; 115, Temperature Detection Component; 116, Humidity Detection Component; 120, Monitoring Data Processing Component; 121, Data Conversion Component; 122, Data Processing Component; 123, Result Output Component; 200, On-site Recording Module; 210, Data Storage Component; 220, Personnel Status Acquisition Component; 221, On-site Personnel Monitoring Unit; 22 2. Personnel monitoring unit for passageways; 230. Environmental status acquisition component; 300. Accident alarm module; 310. On-site alarm component; 320. Remote alarm component; 400. Communication module; 410. Communication link detection submodule; 420. Communication link selection control submodule; 430. Communication control submodule; 440. Communication link; 441. 4G / 5G communication submodule; 442. Fiber optic communication submodule; 443. Bluetooth networking submodule; 500. Monitoring backend; 600. Control module; 700. SOS call submodule. Detailed Implementation

[0103] The embodiments of this application are described in detail below, and examples of the embodiments are shown in the accompanying drawings.

[0104] In the description of this specification, the references to "certain embodiments," "one embodiment," "some embodiments," "illustrative embodiment," "example," "specific example," or "some examples" refer to specific features, structures, materials, or characteristics described in connection with the described embodiment or example, which are included in at least one embodiment or example of this application. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0105] An intelligent monitoring and alarm system for escape routes, such as Figure 1 As shown, it mainly includes an identification and early warning module 100, an on-site recording module 200, an accident alarm module 300, a communication module 400, and a control module 600.

[0106] The identification and early warning module 100 is used to collect various set monitoring data and, based on the set identification model, analyze and output accident early warning signals of different levels.

[0107] In the embodiments of this application, combined with Figure 2 As shown, the aforementioned identification and early warning module 100 includes a monitoring data acquisition component 110 and a monitoring data processing component 120. Combined with... Figure 1As shown, the monitoring data acquisition component 110 mainly includes an image acquisition component 114, a vibration signal detection component 111, a sound signal detection component 112, a stress detection component 113, a temperature detection component 115, and a humidity detection component 116.

[0108] The image acquisition unit 114 includes multiple cameras to capture and output image information of a designated area at the construction site.

[0109] The vibration signal detection device 111 includes multiple vibration detection sensors arranged at predetermined intervals in the escape passage and construction site. These sensors form a vibration monitoring network to detect the vibration frequency of the escape passage pipe, tunnel walls, and ground. In this embodiment, the vibration detection sensors are preferably piezoelectric vibration sensors, which are characterized by high precision, high sensitivity, and durability. The vibration monitoring network can detect and output vibration detection signals. Furthermore, based on the relative positions of the sensors and the vibration detection signals, the source and attenuation of the vibration can be quickly determined, thereby inferring the type, intensity, and location of the accident. The sound signal detection device 112 includes multiple sound sensors arranged in the escape passage and construction site. These sensors are mainly used to detect and output sound detection signals for accidents such as explosions and collapses. Combined with the vibration detection signals, the type, intensity, and location of the accident can be further determined.

[0110] The stress detection component 113 mainly includes a resistance strain gauge sensor or a fiber optic strain gauge sensor. In this embodiment, a fiber optic strain gauge sensor is preferred. The fiber optic body is installed at a specific location in the tunnel, such as on the support structure or load-bearing structure, to detect stress changes at that specific location on the construction site and output a stress detection signal. By using the aforementioned fiber optic strain gauge sensor, minute and continuous deformations at the specific location can be detected, thereby providing early warnings for accidents such as collapses.

[0111] Temperature detection component 115 includes multiple temperature sensors for detecting and outputting temperature detection signals. In this embodiment, temperature detection in the tunnel is preferably achieved using a distributed fiber optic temperature measurement system. Humidity detection component 116 includes multiple humidity sensors installed on the inner wall of the tunnel for detecting and outputting humidity detection signals at the construction site. By monitoring the temperature and humidity at the construction site, on the one hand, the parameters for concrete pouring can be optimized, and on the other hand, it is possible to make early predictions of accidents such as water seepage based on changes in temperature and humidity at the site.

[0112] The monitoring data processing component 120 includes a data conversion component 121, a data processing component 122, and a result output component 123.

[0113] Since the output data formats of each detection device are different, for ease of processing, the data converter 121 is connected to the signal output terminals of each detection device in the monitoring data acquisition component 110 to receive various detection signal data, and then converts each detection signal into a set data format and outputs it. In practical applications, the aforementioned data converter 121 mainly includes a filtering and noise reduction module and an AD conversion module, which converts analog signals into digital signals within a set numerical range.

[0114] The data processing unit 122 has a built-in recognition model for predicting or identifying the type, level, and location of accidents based on various detection signals. It receives the converted detection signal data and generates different levels of accident warning signals based on the recognition model. In this embodiment, the data processing unit 122 can be a microcontroller or an FPGA module. The recognition model is mainly used to find monitoring data or combinations thereof that match each accident type, and then output corresponding accident warning signals. For example, when the stress at the support structure in a certain area gradually increases and exceeds a set threshold, a collapse accident warning signal can be output. Similarly, when the vibration detection signal in a certain area matches the vibration frequency caused by a collapse, a collapse accident can be determined in that area. Furthermore, the amplitude and frequency of the sound detection signal can be retrieved to further determine the accident type, ultimately outputting a collapse accident warning signal.

[0115] The output unit 123 is configured to connect to the field recording module 200, the accident alarm module 300, and the communication module 400. It receives the identification results, i.e., different levels of accident warning signals, from the microcontroller or FPGA module. After data conversion, it outputs the results to the designated functional module. For example, the output accident warning signal is converted by DA and then isolated and amplified before being directly output to the audio-visual prompt submodule in the accident alarm module 300. Alternatively, it outputs corresponding control signals according to the level of the accident warning signal. For example, when the accident level requires on-site personnel to evacuate immediately, the above control signals activate certain functional units in the field recording module 200 or activate certain detection devices set up at the construction site.

[0116] The above-mentioned technical solutions can provide accurate early warnings of accidents based on multiple monitoring data, or accurately determine the type, intensity, and location of accidents after they occur. This helps in accident classification and subsequent investigation of the causes of accidents, and also helps in the formulation of relevant risk mitigation and remediation plans.

[0117] In order to record the personnel and environmental conditions at the construction site, facilitating early warning analysis and subsequent analysis of accident causes, the site recording module 200 in this embodiment includes a data storage component 210, a personnel status acquisition component 220, and an environmental status acquisition component 230, used to continuously collect and store and / or collect and store construction site environmental status data and personnel status data in response to the accident early warning signal.

[0118] The aforementioned environmental status data includes various environmental parameters of the construction site, such as ambient temperature and humidity data, tunnel wall vibration data, and stress change data at specific locations. Personnel status data includes the ID information and location information of each person on the construction site.

[0119] As detailed, the personnel status acquisition component 220 includes an on-site personnel monitoring unit 221 and a passageway personnel monitoring unit 222.

[0120] The on-site personnel monitoring unit 221 includes an image recognition submodule that is connected to an on-site image acquisition device, such as an on-site surveillance camera, for identifying personnel ID information and their location in the images. This image recognition submodule is an image recognition program module configured in the data processor at the construction site and the 500 monitoring backend server. Both are used to acquire on-site monitoring images captured by the surveillance camera and identify and output first personnel ID information and first location information. The first personnel ID information includes the personnel's name and number, and the first location information refers to the personnel's coordinates at the construction site.

[0121] The personnel monitoring unit 222 includes RFID tags worn by personnel on site and multiple RFID readers installed within the escape passage. The RFID tags can be RFID tags, and the corresponding RFID readers are RFID readers. Considering that the diameter of the escape passage is typically 80cm, to reduce unnecessary interference, the recognition range of the RFID readers is set to no more than 50cm. Therefore, when a person enters the escape passage, their RFID tag can be automatically detected. In this embodiment, multiple RFID readers are arranged along the length of the escape passage, allowing continuous acquisition of the position of each person within the escape passage. Each RFID reader is connected to a corresponding controller, such as a microcontroller control module, which activates in response to a specific level of accident warning signal, then identifies and outputs the second personnel ID information and second location information of the person entering the escape passage. The second personnel ID information includes the person's name and number, and the second location information refers to the coordinates of each person's position within the escape passage.

[0122] In practical applications, the monitoring backend 500 can determine whether there are any people who have not been evacuated from the accident site and their approximate current location by comparing the first person's ID information and the second person's ID information, which facilitates the subsequent rescue and hazard mitigation work.

[0123] The environmental status acquisition component 230 is configured to be connected to the monitoring data acquisition component 110 for acquiring and storing the detection signals output by various detection components, such as stress detection component 113 and temperature monitoring component, and storing them in association with the coordinates of the location of the detection component.

[0124] The data storage component 210 includes a first data storage device and a second data storage device that are controlled and connected to the control module 600.

[0125] The first data storage device is configured to be data-connected to the personnel status acquisition component 220, the environmental status acquisition component 230, and the communication module 400. It is used to temporarily store the detection signal data collected within a set time period and their associated location coordinates, personnel ID information, and location information. The data stored in the first data storage device is sent to the monitoring backend 500 in real time via the communication module 400 for analysis or storage.

[0126] The second data storage device is equipped with a specific data compression algorithm and is configured to be data-connected to the first data storage device. It is used to acquire, compress, and store detection signal data collected over various time periods, along with their associated location coordinates, personnel ID information, and location information. This second data storage device stores various data collected over a longer period in a field-configured storage device, such as a data storage hard drive. This prevents the loss of monitoring data, and even if the communication module 400 malfunctions, the relevant monitoring data can still be retrieved through the aforementioned data storage hard drive.

[0127] In this embodiment of the application, the accident alarm module 300 is configured to be data connected to the identification and early warning module 100, and is configured to receive the accident early warning signal and respond by outputting the corresponding on-site audio-visual prompt signal and the alarm signal of the monitoring backend 500.

[0128] Detailed, such as Figure 1 As shown, the accident alarm module 300 includes an on-site alarm component 310 and a remote alarm component 320. The on-site alarm component 310 mainly includes an audio-visual category storage submodule, an escape route storage submodule, an audio-visual control submodule, an intelligent escape route generation submodule, an escape guidance control submodule, an audio-visual prompt submodule, and a route indication submodule.

[0129] The audio-visual category storage submodule is configured to associate and store the audio-visual categories corresponding to various levels of accident warning signals. For example, a green LED light indicates everything is normal, a yellow LED light indicates a potential accident requiring careful investigation, and a red LED light indicates a serious accident requiring immediate evacuation. These audio-visual categories correspond to different control codes, which are stored as accident codes in the microcontroller control module. The escape route storage submodule is configured to associate and store the escape routes and precautions corresponding to various levels of accident warning signals. For example, if there is a serious risk of collapse above the first entrance of the escape passage, the escape route changes to the path from the construction site to the second entrance of the escape passage.

[0130] The sound and light control submodule is data-connected to the identification and early warning module 100 and the sound and light category storage submodule. It receives the accident early warning signal, analyzes its warning level, and outputs the corresponding sound and light control signal. In practical applications, the sound and light control submodule can be integrated into the system control module 600. The sound and light prompt submodule includes multiple LED lights of different colors and alarms connected to the sound and light control submodule. In response to the sound and light control signal, it outputs sound and light prompt information, which includes different colored lights and alarm sounds of different frequencies.

[0131] The intelligent escape route generation submodule is configured to connect with the identification and early warning module 100 and the on-site recording module 200. It receives accident early warning signals, determines the accident level, and, based on the personnel ID information and location information at the construction site, generates the optimal escape route for each person, enabling them to enter the escape passage in the fastest and safest way. The escape guidance control submodule is connected to the intelligent escape route generation submodule, receives the optimal escape route data, and generates guidance control signals. The route indication submodule includes multiple projection lights and a voice player. It receives the guidance control signals output by the escape guidance control submodule, projects guidance signs in a designated area at the construction site, and plays voice prompts, such as projecting arrows on the ground, to guide personnel to enter the escape passage as quickly as possible along the designated path.

[0132] The remote alarm component 320 includes a terminal display device, such as a computer monitor in the monitoring room and supporting audio equipment, which are connected to the identification and early warning module 100 via the communication module 400, to alert the staff in the monitoring room.

[0133] The communication module 400 includes at least two data communication links 440, configured to enable communication between the construction site equipment and the monitoring backend 500, receive the accident warning signal and the status information of the construction site personnel and output them to the monitoring backend 500.

[0134] Detailed, such as Figure 3As shown, the communication module 400 includes a communication link 440 detection submodule 410, a communication link 440 selection and control submodule 420, a communication control submodule 430, and multiple communication links 440. The communication link 440 detection submodule 410 is configured to detect the data communication status of each communication link 440 and output the reliability assessment results of the communication link 440. In practical applications, parameters such as communication latency and data bandwidth can be obtained by sending test data to the monitoring backend 500 and receiving feedback data from the monitoring backend 500. The communication link 440 selection and control submodule 420 is configured to associate and store different levels of accident warning signals and different reliability assessment results corresponding to the communication link 440 categories or combinations thereof. The communication control submodule 430 is configured to be connected to the communication link 440 detection submodule 410 and the identification and early warning module 100. Based on the association relationship stored in the communication link 440 selection control submodule 420, it can autonomously or under control select a set type of communication link 440 or a combination of different types of communication links 440 to realize the communication connection between the construction site equipment and the monitoring backend 500.

[0135] In this embodiment, the communication link 440 includes a 4G / 5G communication submodule 441, an optical fiber communication submodule 442, and a Bluetooth networking submodule 443. The 4G / 5G communication submodule 441 is configured to be controlled and connected to the communication control submodule 430, receiving accident warning signals output by the identification and warning module 100 and personnel ID information and location information output by the personnel status acquisition component 220, and sending them to the monitoring backend 500. The aforementioned communication control submodule 430 can be directly partitioned from the control module 600. The optical fiber communication submodule 442 includes a signal modulation unit and a transmission optical fiber. The main body of the transmission optical fiber is configured within the escape passage. The signal modulation unit is controlled and connected to the communication control submodule 430 and data-connected to the on-site recording module 200, used to acquire and transmit detection signal data collected at various time periods and their associated location coordinates, personnel ID information, and location information to the monitoring backend 500. The aforementioned signal modulation unit can be directly reused from the relevant data processing components in the control module 600.

[0136] The Bluetooth networking submodule 443 is controlled and connected to the communication control submodule 430 and data-connected to the on-site recording module 200. It includes multiple communication relay nodes spaced at predetermined intervals within the escape route, used to transmit data from the data storage component 210 to the monitoring backend 500 via the Bluetooth communication network. For example, a Bluetooth Mesh networking module can be used to achieve data transmission.

[0137] To ensure that important data is transmitted with priority, the communication control submodule 430 in this application also includes or is connected to a data importance level determination unit, a data size detection unit, a communication duration estimation unit, and a communication link 440 allocation unit.

[0138] The data importance level determination unit is configured to connect with the identification and early warning module 100. It classifies and marks each detection signal data according to the correlation between each detection signal data and the accident type and accident location. For example, if the accident type is determined to be a door collapse accident, the relevant monitoring data will retain the monitoring data related to the above-mentioned door collapse accident, such as stress detection signal data, sound detection signal data, and image data at the collapse location.

[0139] The data size detection unit is configured to connect to the field recording module 200 and is used to calculate and mark the data volume of various detection signal data, personnel ID information, and location information in the data storage component 210. The communication duration estimation unit is configured to connect to the communication module 400 and obtain the data communication status of each communication link 440. Based on the data transmission bandwidth of each communication link 440 and the data volume of each data to be transmitted, it generates the data transmission duration required for each data to be transmitted for each communication link 440. The communication link 440 allocation unit selects the corresponding communication link 440 for each data to be transmitted based on the importance level, data volume, and data transmission duration required for each communication link 440 of each data to be transmitted, combined with the reliability assessment results of each communication link 440, and based on a set algorithm. For example, it normalizes the four reference data of importance level, data volume, data transmission duration, and reliability assessment results, uses numerical values ​​to represent each of the above reference data, and then performs weighted fusion processing on each reference data to obtain the communication link 440 corresponding to each reference data.

[0140] The above technical solution can allocate a suitable data transmission link to each data to be transmitted based on the importance level of the data to be transmitted and the reliability assessment results of the communication link 440. This can ensure that various detection signal data, personnel ID information and location information data at the construction site can be transmitted to the monitoring backend 500, which facilitates the formulation of risk mitigation and rescue plans and reduces the casualty rate of accidents.

[0141] The intelligent monitoring and alarm system of this application also includes an SOS call submodule 700, a real-time communication submodule, an infrared sensing submodule, and an emergency rescue submodule installed in the escape passage. The SOS call submodule 700 includes a button trigger component and a voice trigger component installed at designated locations within the escape passage. The SOS call submodule 700 is signal-connected to the fiber optic communication submodule 442 or Bluetooth networking submodule 443 in the communication module 400, detecting and outputting an SOS signal to the monitoring backend 500 based on the triggering status of the button trigger component or the voice trigger component. The real-time communication submodule includes a microphone and a player, used to collect voice information from personnel in the escape passage and output it to the monitoring backend 500 via the fiber optic communication submodule 442 or Bluetooth networking module 443, while simultaneously receiving and playing back voice data from the monitoring backend 500.

[0142] The infrared sensing submodule includes multiple human infrared detection sensors positioned at designated locations in the escape route. These sensors detect the number of people in the escape route and output human detection signals to the monitoring backend 500. The emergency rescue submodule includes a first-aid kit and a tablet computer mounted on the kit. The tablet computer is loaded with first-aid guidance video data.

[0143] In this embodiment, the core of the control module 600 is a single-chip microcomputer control module, which is used to receive and process various monitoring data, and output corresponding control signals according to the built-in algorithm and control program to control the actions and states of each functional module.

[0144] To ensure the integrity of the escape routes and facilitate the evacuation of personnel, the intelligent monitoring and alarm system described in this application further includes a route integrity detection module for detecting damage to the escape routes, mainly comprising a sound determination submodule and / or a fiber optic determination submodule.

[0145] Since escape routes are constructed from multiple pipe sections, a break at one of the pipe joints will alter the sound transmitted along the escape route. Therefore, the aforementioned sound detection submodule is data-connected to the control module 600 and configured to detect and acquire the acoustic signature data corresponding to the sound source at a designated location within the escape route. Based on a built-in algorithm in the control module 600 and the acoustic signature data, the degree of damage to the escape route is determined. For example, if sound from a sound source cannot be transmitted through the escape route, it indicates a break somewhere in the escape route. The sound source can be configured as a striking device, such as a motor-driven hammer, used to strike the pipe wall. The fiber optic detection submodule includes an optical fiber arranged along the length of the escape route and an optical signal transceiver module. It determines the degree of damage to the escape route based on the wavelength or phase changes of the optical signal in the optical fiber, such as monitoring for pipe deformation or breakage. This technical solution can assess the damage status of escape routes, facilitating the evacuation of trapped personnel and the implementation of rescue operations.

[0146] When an accident warning signal is issued, the construction site environment may prevent workers from receiving the evacuation signal immediately. Therefore, the optimized monitoring and alarm system further includes: a personnel movement monitoring module, a response speed detection module, and a vibration alarm module. The personnel movement monitoring module is configured at the construction site and in the personal devices of each worker to monitor their position and posture. Similar to existing firefighter positioning devices, the personnel movement monitoring module includes a positioning unit, a wireless receiving terminal, and a personnel positioning monitoring platform. The positioning unit is configured to monitor the displacement, direction angle, height, and tilt angle of each worker in real time using an inertial navigation module, and transmit the data to the personnel positioning monitoring platform via the wireless receiving terminal. The wireless receiving terminal is configured to receive and store the wireless data transmitted by the positioning unit, perform preliminary analysis, and output the data to the personnel positioning monitoring platform. Based on the received motion parameter data, the personnel positioning monitoring platform integrates and outputs real-time data on the position, trajectory, and posture of each worker at the construction site.

[0147] The response speed detection module is signal-connected to the accident alarm module and the personnel movement monitoring module. It receives the accident warning signal and starts timing, analyzing and calculating the position and posture changes of all personnel at the construction site within a set time period after the accident warning signal is issued. Based on the analysis results, it outputs a vibration warning signal. The vibration warning module includes multiple vibrators worn by on-site construction personnel. These vibrators are wirelessly connected to the control module, receiving and responding to the vibration warning signal by outputting vibration at a set frequency. Each vibrator includes a vibration motor, an independent power supply, and a wireless communication control module. Based on this scheme, when the on-site construction personnel respond too slowly after an accident warning is issued, a vibration alarm can be output for each individual, reminding personnel at the construction site to evacuate to the escape route as soon as possible.

[0148] Based on the aforementioned intelligent monitoring and alarm system for escape routes, this application also discloses an intelligent monitoring and alarm method for escape routes, such as... Figure 4 As shown, the main steps include the following:

[0149] S100, Establish and store accident identification models to reflect the correlation between each accident type and various monitoring data or their combination;

[0150] S200: Collect and acquire various monitoring data and analyze and output accident early warning signals of different levels based on the accident identification model;

[0151] S300 acquires on-site images and outputs the first person ID information and the first location information based on image recognition algorithms;

[0152] S400 collects and stores environmental status data at the construction site;

[0153] S500, responding to accident warning signals of a specific level:

[0154] S510 outputs corresponding on-site audio and visual alerts and monitoring backend alarm signals through the accident alarm module;

[0155] The S520 identifies and outputs the second person ID information and second location information of those entering the escape passage through radio frequency identification devices configured in the escape passage and radio frequency tags on the personnel.

[0156] S530 detects the data communication status of each communication link in the communication module, outputs the communication link reliability assessment results, and selects the corresponding communication link category or combination to output various monitoring data, personnel ID information and location to the monitoring backend.

[0157] By using intelligent monitoring and alarm methods for the aforementioned escape routes, early warnings can be issued before an accident occurs, while simultaneously recording personnel and environmental status data at the construction site. This facilitates the formulation of subsequent hazard mitigation and rescue plans. Furthermore, through on-site accident warnings, construction workers can be prompted to enter the escape routes in advance. During this process, the number of construction workers entering the escape routes will be counted, ultimately achieving accurate acquisition of personnel status information.

[0158] To improve the efficiency of hazard avoidance for workers at construction sites and reduce the casualty rate, the method described in this application further includes:

[0159] S110, associated with the escape routes and precautions corresponding to each level of accident warning signals;

[0160] S541, Receive the accident warning signal and determine the accident level, obtain and generate the best escape route for each person based on the first personnel ID information and the first location information.

[0161] S542, receive the optimal escape route and generate a guidance control signal. The control route indication submodule projects guidance signs in a set area at the construction site and plays voice prompts.

[0162] The above-mentioned plan allows personnel at the construction site to evacuate to the escape route via the best safe route, thereby reducing the probability of casualties.

[0163] Although embodiments of this application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting this application. Those skilled in the art can make changes, modifications, substitutions and variations to the above embodiments within the scope of this application.

Claims

1. An intelligent monitoring and alarm system for escape routes, characterized in that, include: The identification and early warning module (100) includes a monitoring data acquisition component (110) and a monitoring data processing component (120), configured to acquire various monitoring data and analyze and output accident early warning signals of different levels based on a set identification model; The on-site recording module (200) includes a data storage component (210), a personnel status acquisition component (220), and an environmental status acquisition component (230). The data storage component (210) and the personnel status acquisition component (220) are configured to continuously collect and store and / or collect and store the ID information and location information of each person at the construction site in response to the accident warning signal. The environmental status acquisition component (230) is configured to be connected to the monitoring data acquisition component (110) for acquiring and storing the detection signals output by each detection device and storing them in association with the coordinates of the location of the detection device. The accident alarm module (300) is configured to receive the accident warning signal and respond by outputting the corresponding on-site audio-visual prompt signal and the alarm signal of the monitoring backend (500); The communication module (400) includes at least two data communication links (440) configured to enable communication between the construction site equipment and the monitoring backend (500); The control module (600) is configured to coordinate and control the working status of each functional module; The personnel status acquisition component (220) includes: The on-site personnel monitoring unit (221) includes an image recognition submodule that is connected to the on-site image acquisition device for identifying personnel ID information and their location in the image, and for identifying and outputting first personnel ID information and first location information; The personnel monitoring unit (222) includes radio frequency tags worn by on-site personnel and multiple radio frequency identification devices installed in the escape passage. In response to a specific level of accident warning signal, it identifies and outputs the second personnel ID information and second location information entering the escape passage. The data storage component (210) includes: The first data storage device is configured to be data-connected to the personnel status acquisition component (220), the environment status acquisition component (230) and the communication module (400), and is used to temporarily store the detection signal data collected within a set time period and their associated location coordinates, personnel ID information and location information; The second data storage device is associated with a data compression algorithm and is configured to be connected to the first data storage device for acquiring and compressing the detection signal data collected in each time period and its associated location coordinates, personnel ID information and location information. The accident alarm module (300) includes a field alarm component (310) and a remote alarm component (320), wherein, The on-site warning component (310) includes: The audio-visual category storage submodule is configured to associate and store the audio-visual categories corresponding to each level of accident warning signals; The escape route storage submodule is configured to associate and store the escape routes and precautions corresponding to the early warning signals of each level of accident. The sound and light control submodule is data-connected to the identification and early warning module (100) and the sound and light category storage submodule, receives the accident early warning signal and analyzes its early warning level, and outputs the corresponding sound and light control signal; The intelligent escape route generation submodule is connected to the identification and early warning module (100) and the on-site recording module (200) for data connection. It receives the accident early warning signal to determine the accident level, obtains and generates the best escape route for each person based on the personnel ID information and their location information at the construction site. The escape guidance control submodule is data-connected to the intelligent escape path generation submodule, receives the optimal escape path, and generates guidance control signals; The sound and light prompt submodule includes multiple LED lights of different colors and alarms connected to the sound and light control submodule, and outputs sound and light prompt information in response to the sound and light control signal; The path indication submodule includes multiple projection lights and a voice player. It receives the guidance control signal output by the escape guidance control submodule, projects guidance signs in a set area at the construction site, and plays voice prompts. The remote warning component (320) includes a terminal display device that is signal-connected to the identification and warning module (100) via a communication module (400); The communication module (400) includes: The communication link (440) detection submodule (410) is configured to detect the data communication status of each communication link (440) and output the reliability assessment results of the communication link (440); The communication link (440) selection control submodule (420) is configured to associate the communication link (440) categories or combinations thereof corresponding to different levels of accident warning signals and different reliability assessment results; The communication control submodule (430) is configured to be connected to the communication link (440) detection submodule (410) and the identification and early warning module (100) by signal connection. Based on the association relationship stored in the communication link (440) selection control submodule (420), it can autonomously or under control select a set type of communication link (440) or a combination of different types of communication links (440) to realize the communication connection between the construction site equipment and the monitoring backend (500). The communication link (440) includes: The 4G / 5G communication submodule (441) is configured to be connected to the communication control submodule (430) for control, receiving the accident warning signal output by the identification and warning module (100) and the personnel ID information and location information output by the personnel status acquisition component (220), and sending them to the monitoring backend (500). The fiber optic communication submodule (442) includes a signal modulation unit and a transmission fiber. The main body of the transmission fiber is configured in the escape channel. The signal modulation unit is controlled and connected to the communication control submodule (430) and data connected to the on-site recording module (200). It is used to acquire and transmit the detection signal data collected in each time period and its associated location coordinates, personnel ID information and location information to the monitoring backend (500). The Bluetooth networking submodule (443) is controlled and connected to the communication control submodule (430) and data-connected to the field recording module (200). It includes multiple communication relay nodes set at intervals within the escape passage, which are used to transmit the data in the data storage component (210) to the monitoring backend (500) via the Bluetooth communication network. The communication control submodule (430) also includes or is connected to: The data importance level determination unit is configured to be connected to the identification and early warning module (100) for data connection, and to classify and mark each detection signal data according to the correlation between each detection signal data and the accident type and accident location determination; The data size detection unit is configured to connect to the field recording module (200) for calculating and marking the data volume of various detection signal data, personnel ID information and location information in the data storage component (210); The communication duration estimation unit is configured to be connected to the communication module (400) to obtain the data communication status of each communication link (440), and generate the data transmission duration required for each data to be transmitted corresponding to each communication link (440) based on the data transmission bandwidth of each communication link (440) and the data volume of each data to be transmitted. The communication link (440) allocation unit selects the corresponding communication link (440) for each data to be transmitted based on the importance level, data volume and data transmission time required for each communication link (440), combined with the reliability assessment results of each communication link (440) and based on the set algorithm.

2. The intelligent monitoring and alarm system for escape routes according to claim 1, characterized in that, The identification and early warning module (100) includes a monitoring data acquisition component (110) and a monitoring data processing component (120), wherein, The monitoring data acquisition component (110) includes: The vibration signal detection device (111) includes multiple vibration detection sensors installed in escape routes and construction sites for detecting and outputting vibration detection signals; The sound signal detection device (112) includes multiple sound sensors installed in escape routes and construction sites for detecting and outputting sound detection signals; The stress detection component (113), including a resistance strain gauge or a fiber optic strain gauge, is used to detect stress changes at a set location on the construction site and output a stress detection signal. Image acquisition device (114) includes multiple cameras for capturing and outputting image information of a designated area at the construction site; Temperature detection element (115) includes multiple temperature sensors for detecting and outputting temperature detection signals; Humidity detection element (116) includes multiple humidity sensors for detecting and outputting humidity detection signals; The monitoring data processing component (120) includes: The data converter (121) is connected to the monitoring data acquisition component (110) and is used to convert each detection signal into a set data format and output it. The data processing unit (122) has a built-in recognition model for predicting or identifying the type, level and location of an accident based on each detection signal. It receives various converted detection signal data and generates different levels of accident warning signals based on the recognition model. The output component (123) is configured to connect to the field recording module (200), the accident alarm module (300), and the communication module (400) for data connection, receive the accident warning signals of different levels, and output them to the setting module after data conversion.

3. The intelligent monitoring and alarm system for escape routes according to claim 1, characterized in that, The intelligent monitoring and alarm system also includes components installed in the escape routes: The SOS call submodule (700) includes a button trigger component and a voice trigger component set at a predetermined position in the escape passage. It is connected to the communication module (400) and detects and outputs an SOS signal to the monitoring backend (500) according to the triggering state of the button trigger component or the voice trigger component. The real-time communication submodule includes a microphone and a player, which is used to collect the voice information of people in the escape passage and output it to the monitoring backend (500) and play the voice data of the monitoring backend (500); The infrared sensing submodule includes multiple human infrared detection sensors set at designated locations in the escape passage, used to detect the number of people in the escape passage and output human detection signals from the escape passage to the monitoring backend (500). The emergency medical care submodule includes a first aid kit and a tablet computer mounted on the first aid kit, the tablet computer being loaded with first aid instruction video data.

4. The intelligent monitoring and alarm system for escape routes according to claim 3, characterized in that, The intelligent monitoring and alarm system also includes a passage integrity detection module for detecting damage to escape routes, including: The sound determination submodule is configured to detect the voiceprint data corresponding to the sound source transmitted from a set location within the escape passage to a target location, and determine the degree of damage to the escape passage based on the voiceprint data; and / or The fiber optic determination submodule includes an optical fiber arranged along the length of the escape channel and an optical signal transceiver module, which determines the degree of damage to the escape channel based on the wavelength or phase change of the optical signal in the optical fiber.

5. The intelligent monitoring and alarm system for escape routes according to claim 3, characterized in that, The monitoring and alarm system also includes: The personnel movement monitoring module is installed at the construction site and in the personal devices of each person to monitor the position and posture of each person at the construction site. The response speed detection module is connected to the accident alarm module and the personnel movement monitoring module. It receives the accident warning signal and starts timing. It analyzes and calculates the position and posture changes of each person at the construction site within a set time period after the accident warning signal is issued. Based on the analysis results, it outputs a vibration warning signal. The vibration alarm module includes multiple vibrators worn by on-site construction personnel. The vibrators are wirelessly connected to the control module and receive and respond to the vibration alarm signal by outputting vibration actions at a set frequency.

6. The intelligent monitoring and alarm system for escape routes according to claim 5, characterized in that, The personnel movement monitoring module includes: The positioning unit is configured to monitor the motion parameters of each person in real time, including displacement, orientation angle, height, and tilt angle, via an inertial navigation module, and transmit the data to the personnel positioning and monitoring platform via a wireless receiving terminal. The wireless receiving terminal is configured to receive and store wireless data sent by the positioning unit, perform preliminary analysis, and output the data to the personnel positioning and monitoring platform. The personnel positioning and monitoring platform integrates and outputs real-time data on the location, movement trajectory, and posture of each person at the construction site based on the received motion parameter data.

7. An intelligent monitoring and alarm method for escape routes, characterized in that, The intelligent monitoring and alarm system for escape routes as described in any one of claims 1-6 includes: Establish and store accident identification models that reflect the correlation between each accident type and various monitoring data or their combinations; Collect and acquire various monitoring data, and analyze and output accident early warning signals of different levels based on the accident identification model; The system acquires on-site images and outputs the first person's ID information and first location information based on image recognition algorithms. Collect and store environmental status data at the construction site; Responding to accident warning signals of a specific level: The accident alarm module outputs corresponding on-site audio and visual prompts and alarm signals from the monitoring backend. By using radio frequency identification devices configured in the escape route and radio frequency tags on personnel, the second person's ID information and second location information entering the escape route are identified and output; The system detects the data communication status of each communication link in the communication module, outputs the reliability assessment results of the communication link, and selects the corresponding communication link category or combination to output various monitoring data, personnel ID information and location to the monitoring backend. The method further includes: The system associates and stores the escape routes and precautions corresponding to each level of accident warning signals. Receive the accident warning signal and determine the accident level, obtain and generate the best escape route for each person based on the first person ID information and the first location information; The system receives the optimal escape route and generates a guidance control signal. The control route indication submodule projects guidance signs in a designated area at the construction site and plays voice prompts.

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