Intelligent comprehensive multifunctional safety wearable device for rescue and dangerous operation

Abstract

The invention relates to the technical field of safety emergency rescue, in particular to an intelligent comprehensive multifunctional rescue and dangerous operation safety wearable device which comprises a plurality of safety wearable devices and a support end. The plurality of safety wearable devices are connected through wireless communication, the plurality of safety wearable devices are connected with the support end through wireless communication, and each safety wearable device comprises a backpack end, a bracelet end and a helmet end. According to the invention, the wearable equipment, including a backpack end, a bracelet end and a helmet end, is used for obtaining self safety condition feedback and monitoring the external environment; the backpack end is integrated with an environment state detection and analysis module, an equipment operation safety analysis module and an equipment operation early warning module, parameters such as harmful gas concentration and magnetic field intensity of an operation environment can be acquired and analyzed in real time, the safety of the environment is judged, and potential risks are warned in time. The gas cylinder provides emergency oxygen supply for a wearer, and breathing safety is ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of safety emergency rescue, and particularly to an intelligent integrated multi-functional rescue and dangerous operation safety wearable device. Background Art

[0002] At present, there is no device in the industry that is suitable for operations in dangerous areas and external linkage, and that combines active detection of the working environment and an intelligent multi-functional device with a rescue function to solve a series of problems such as dangerous operations, airtight work operations, and rescue. As a result, in the industry, especially in airtight environment operations, underground engineering operations, and other dangerous area operations, it is impossible to detect the working environment of the staff, leading to accidents with mass deaths and injuries. At the same time, due to the inability to accurately track, secondary injuries are caused during blind rescue, bringing more derivative accidents to the rescue, resulting in: unknown environment operation → unable to monitor and track → accident → blind rescue → rescuers unable to determine the location and rescue environment → secondary accident → ultimately causing greater casualties and economic losses.

[0003] Existing rescue and dangerous operation safety guarantee systems mainly rely on manual observation and simple detection equipment, and have problems such as information lag, slow response, and low safety. For wearable devices, although some intelligent wearable devices such as contact lenses and bracelets have emerged, their functions are single, mainly focusing on monitoring human physiological information and positioning, etc., lacking the functions of safety monitoring and intelligent warning of the working environment. In harsh working environments, rescue workers and staff are easily affected by various risk factors, such as environmental factors such as harmful gases and magnetic fields, as well as accidental pressure changes. Traditional monitoring methods often cannot identify and warn these potential risks in a timely and effective manner.

[0004] Existing intelligent wearable devices for rescue and dangerous operation environments mainly focus on functions such as personnel positioning, physiological monitoring, and wireless communication, lacking the ability of comprehensive monitoring and intelligent analysis of the working environment. For example: 1. It does not have the function of detecting and analyzing the concentration of harmful gases and the intensity of magnetic fields in real time.

[0005] 2. It does not have in-depth analysis of the sound sources in the working environment, for example, it cannot identify specific sounds such as alarm sounds and machine noises to warn of potential dangers.

[0006] 3. It does not have the function of real-time monitoring and warning of pressure changes inside the helmet.

[0007] Therefore, the existing solutions cannot meet the requirements for safety guarantee in rescue and dangerous operation environments, and there is an urgent need to develop an intelligent integrated multi-functional rescue and dangerous operation safety wearable device that integrates environmental monitoring, intelligent analysis, and warning functions.

[0008] To this end, we propose an intelligent integrated multi-functional rescue and dangerous operation safety wearable device. Summary of the Invention

[0009] In view of the deficiencies of the prior art, the present invention provides an intelligent integrated multi-functional rescue and dangerous operation safety wearable device to solve the above-mentioned technical defects.

[0010] To achieve the above objectives, the present invention is realized through the following technical solutions: An intelligent integrated multi-functional rescue and dangerous operation safety wearable device includes safety wearable devices and a support terminal. A plurality of safety wearable devices are provided, and all of the plurality of safety wearable devices are wirelessly communicatively connected to each other and to the support terminal. The safety wearable device includes a backpack terminal, a bracelet terminal, and a helmet terminal, and the backpack terminal, the bracelet terminal, and the helmet terminal are electrically connected by wires. An oxygen cylinder, a spare oxygen supply mask, and a black box are provided inside the backpack terminal, and the inside of the oxygen cylinder is communicated with the inside of the helmet terminal through a gas pipeline. A cardiac electro sensor and a micro airbag type pressure sensor are provided inside the bracelet terminal, and an alarm button, a call button, and a positioning module are also provided inside the bracelet terminal. A camera, a recorder, a microphone, and a video module are provided inside the helmet terminal; The backpack terminal further includes an environmental status detection and analysis module, a device operation safety analysis module, and a device operation warning module; The environmental status detection and analysis module is configured to obtain in real time the environmental parameters of each monitoring period in each working area corresponding to the working environment of the wearer, so as to obtain the environmental parameters of each monitoring period in each working area corresponding to the working environment of the wearer; The device operation safety analysis module is configured to calculate and analyze the environmental parameters of each monitoring period in each working area corresponding to the working environment of the wearer, so as to obtain the device operation safety coefficient of each monitoring period in each working area corresponding to the working environment of the wearer; The device operation warning module is configured to perform a comparative analysis on the device operation safety coefficients of each monitoring period in each working area corresponding to the working environment of the wearer, so as to obtain the device operation signal of each monitoring period in each working area corresponding to the working environment of the wearer; The helmet terminal further includes a sound spectrum detection and analysis module, a helmet pressure detection and analysis module, and a rescue status warning and analysis module; The sound spectrum detection and analysis module is configured to collect in real time the environmental sounds of each monitoring period in each working area corresponding to the working environment of the wearer, so as to obtain the environmental sounds of each monitoring period in each working area corresponding to the working environment of the wearer; A helmet pressure detection and analysis module is used to collect in real time the internal pressure of each monitoring period in each working area corresponding to the working environment of the wearer, so as to obtain the internal pressure of each monitoring period in each working area corresponding to the working environment of the wearer. A rescue status warning and analysis module is used to compare and analyze the pressure safety assessment coefficient and environmental sound of each monitoring period in each working area corresponding to the working environment of the wearer.

[0011] Preferably, the method for obtaining in real time the environmental parameters of each monitoring period in each working area corresponding to the working environment of the wearer is as follows: By using a number of harmful gas sensors arranged inside the backpack end to monitor and collect the concentration of harmful gases in each monitoring period in each working area corresponding to the working environment of the wearer, so as to obtain the concentration of harmful gases in each monitoring period in each working area corresponding to the working environment of the wearer. By using a magnetic field sensor arranged inside the backpack end to monitor and collect the magnetic field intensity in each monitoring period in each working area corresponding to the working environment of the wearer, so as to obtain the magnetic field intensity in each monitoring period in each working area corresponding to the working environment of the wearer. The environmental parameters of each monitoring period in each working area corresponding to the working environment of the wearer are jointly composed of the concentration of harmful gases and the magnetic field intensity in each monitoring period in each working area corresponding to the working environment of the wearer.

[0012] Preferably, the calculation and analysis of the environmental parameters of each monitoring period in each working area corresponding to the working environment of the wearer are carried out in the following specific calculation and analysis method: Extract the concentration of harmful gases and the magnetic field intensity in each monitoring period in each working area corresponding to the working environment of the wearer from the environmental parameters of each monitoring period in each working area corresponding to the working environment of the wearer, and denote them as HQ i j and CQ i j , where i represents the number of each working area, i = 1, 2,..., n, n represents the total number of the numbers of each working area, j represents the number of each monitoring period, j = 1, 2,..., m, and m represents the total number of the numbers of each monitoring period. Obtain the concentrations of various harmful gases in each monitoring period in each working area corresponding to the working environment of the wearer, multiply the concentrations of various harmful gases by the corresponding weight coefficients respectively, and sum up the product results of the concentrations of various harmful gases and the weight coefficients to obtain the comprehensive index of harmful gases in each monitoring period in each working area corresponding to the working environment of the wearer, denoted as HQZ i j ; Obtain the maximum magnetic field intensity and the minimum magnetic field intensity for each monitoring period in each working area corresponding to the working environment of the wearer from the database. Calculate the difference between the magnetic field intensity and the minimum magnetic field intensity for each monitoring period in each working area corresponding to the working environment of the wearer. At the same time, calculate the difference between the maximum magnetic field intensity and the minimum magnetic field intensity for each monitoring period in each working area corresponding to the working environment of the wearer. Calculate the ratio of the two differences to obtain the magnetic field intensity normalization index for each monitoring period in each working area corresponding to the working environment of the wearer, denoted as CBg i j ; According to the formula S = w1 * HQZ i j + w2 * CBg i j Calculate the equipment operation safety factor S for each monitoring period in each working area corresponding to the working environment of the wearer. w1 and w2 respectively represent the corresponding weight coefficients, and w1 + w2 = 1

[0013] Preferably, the comparative analysis of the equipment operation safety factor for each monitoring period in each working area corresponding to the working environment of the wearer is as follows: Obtain the preset equipment operation safety factor threshold for each monitoring period in each working area corresponding to the working environment of the wearer from the data If the equipment operation safety factor for each monitoring period in each working area corresponding to the working environment of the wearer ≤ the preset equipment operation safety factor threshold, it means that the equipment operation is in a relatively safe state under the current working environment, and generate an equipment operation safety signal for each monitoring period in each working area corresponding to the working environment of the wearer If the equipment operation safety factor for each monitoring period in each working area corresponding to the working environment of the wearer > the preset equipment operation safety factor threshold, it means that there is a certain risk in the equipment operation under the current working environment, generate an equipment operation risk signal for each monitoring period in each working area corresponding to the working environment of the wearer, and send an alarm message to the operators and managers

[0014] Preferably, the real-time collection of the environmental sound for each monitoring period in each working area corresponding to the working environment of the wearer is as follows: The environmental sound of each monitoring period in each operation area corresponding to the operation environment of the wearer is collected by a microphone, the weak sound signal is amplified by an amplifier, the analog signal is converted into a digital signal using an analog-to-digital converter (ADC), the digital sound signal is framed, the continuous signal is divided into several signal frames of short time periods, each signal frame is windowed to reduce spectral leakage, the windowed signal frame is subjected to FFT transformation to obtain a frequency-domain signal, and the amplitude spectrum and phase spectrum of the FFT result are calculated to obtain the amplitude and phase information of the sound at different frequencies.

[0015] Preferably, the internal pressure of each monitoring period in each operation area corresponding to the operation environment of the wearer is collected in real time, and the specific collection method is as follows: The internal pressure of each monitoring period in each operation area corresponding to the operation environment of the wearer is collected in real time by a pressure sensor arranged inside the helmet end, and the internal pressure of each monitoring period in each operation area corresponding to the operation environment of the wearer is obtained; The maximum internal pressure value and the minimum internal pressure value of each monitoring period in each operation area corresponding to the operation environment of the wearer are obtained from the database; The difference between the internal pressure of each monitoring period in each operation area corresponding to the operation environment of the wearer and the minimum internal pressure value is calculated, and then the difference between the maximum internal pressure value and the minimum internal pressure value of each monitoring period in each operation area corresponding to the operation environment of the wearer is calculated. Finally, the two groups of difference calculation results are compared to obtain the internal pressure uniformity value of each monitoring period in each operation area corresponding to the operation environment of the wearer. The internal pressure uniformity value of each monitoring period in each operation area corresponding to the operation environment of the wearer is multiplied by the corresponding weight factor to obtain the pressure safety assessment coefficient of each monitoring period in each operation area corresponding to the operation environment of the wearer.

[0016] Preferably, the pressure safety assessment coefficient and the environmental sound of each monitoring period in each operation area corresponding to the operation environment of the wearer are compared and analyzed, and the specific comparison and analysis method is as follows: The preset pressure safety assessment coefficient standard range value of each monitoring period in each operation area corresponding to the operation environment of the wearer is obtained from the database; Compare the pressure safety assessment coefficient for each monitoring period in each operation area corresponding to the operation environment of the wearer with the preset pressure safety assessment coefficient standard range value. If the pressure safety assessment coefficient is within the preset pressure safety assessment coefficient standard range value, it indicates that the internal pressure of the helmet end is within a safe pressure range, and a pressure safety signal is generated; if the pressure safety assessment coefficient is greater than the maximum value of the preset pressure safety assessment coefficient standard range value, it indicates that the internal pressure of the helmet end is within a risky pressure range, and a pressure too high signal is generated; if the pressure safety assessment coefficient is less than the minimum value of the preset pressure safety assessment coefficient standard range value, it indicates that the internal pressure of the helmet end is within a risky pressure range, and a pressure too low signal is generated. Extract characteristic parameters from the amplitude and phase information of sound at different frequencies, compare the extracted sound spectrum characteristics with known sound patterns for pattern recognition and classification, and at the same time establish a specific sound pattern library. When the collected sound matches the dangerous sound pattern in the library, it indicates that the ambient sound in each operation area corresponding to the operation environment of the wearer is abnormal during each monitoring period, and an ambient sound risk signal for each operation area corresponding to the operation environment of the wearer during each monitoring period is generated to issue an alarm to remind the wearer to pay attention to safety.

[0017] Compared with the prior art, it has the following beneficial effects: 1. The intelligent integrated multi-functional rescue and dangerous operation safety wearable device in the present invention aims to provide comprehensive safety protection for rescue personnel. When performing complex rescue tasks, it can effectively prevent and respond to various safety risks. The device consists of a safety wearable device and a support end, and these devices are connected through wireless communication to achieve real-time interaction and collaboration of information; the wearer can obtain feedback on their own safety status through the wearable device, including the backpack end, bracelet end, and helmet end, and monitor the external environment; the backpack end integrates an environmental status detection and analysis module, a device operation safety analysis module, and a device operation warning module, which can real-time obtain and analyze parameters such as the concentration of harmful gases and magnetic field intensity in the operation environment, judge the safety of the environment, and timely warn of potential dangers. The gas cylinder provides emergency oxygen supply for the wearer to ensure breathing safety.

[0018] 2. The bracelet end in the present invention can real-time monitor the heart rate and blood pressure of the wearer by virtue of the electrocardiogram sensor and the micro airbag type pressure sensor, record the positioning information, and enhance the survival potential of the personnel under harsh conditions. The transmission of environmental images and environmental sounds supports the communication between remote medical staff or the command center and the rescue frontline personnel, providing a basis for guidance and decision-making, and greatly improving the rescue efficiency and accuracy.

[0019] 3. In the present invention, the sound spectrum detection and analysis module, the helmet pressure detection and analysis module, and the rescue status warning analysis module enhance the device's perception ability. It effectively processes environmental sound data, timely discovers potential danger signals, and synchronously evaluates them with the internal pressure of the helmet. When the safety factor of the device operation exceeds the preset threshold or abnormal pressure and abnormal environmental sound are detected, the device automatically issues a warning. The rescue time is crucial.

[0020] 4. In the present invention, before starting the task, the rescue personnel can accurately judge the safety of the operation environment, with a preliminary intelligent warning function to guide small-scale response actions; during the operation process, if there are risks in the device operation, the system can timely issue a warning to prompt external practitioners to intervene, keep a safe distance from the wearer, and ensure the safe progress of the rescue task; in dangerous operation sites, each pressure safety factor has a weight, providing key index analysis for the normal operation of the device. Through the effective collaborative work of these modules, it ensures the all-round monitoring of the operation environment and the automatic risk identification ability, effectively increases the safety of rescue operations, improves the efficiency and effectiveness of rescue operations, and makes an important contribution to ensuring the personal safety of the majority of rescue personnel.

[0021] Other features and advantages of the present invention will be described in the subsequent specification, and, in part, will be obvious from the specification, or will be understood by implementing the present invention. The objectives and other advantages of the present invention can be realized and obtained through the structures pointed out in the specification and the drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 It is a principle block diagram of an intelligent integrated multi-functional rescue and dangerous operation safety wearable device according to an embodiment of the present invention; Figure 2 It is a principle block diagram of the backpack end according to an embodiment of the present invention; Figure 3 It is a principle block diagram of the helmet end according to an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0023] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0024] Embodiment 1: Please refer to Figures 1 to 3As shown in the figure, an intelligent integrated multi-functional rescue and hazardous operation safety wearable device includes a safety wearable device and a support end. A number of safety wearable devices are provided, and all of them are wirelessly connected to each other and to the support end. The safety wearable device includes a backpack end, a bracelet end, and a helmet end, and the backpack end, the bracelet end, and the helmet end are all electrically connected by wires; Inside the backpack end, there are an oxygen cylinder, a spare oxygen supply mask, and a black box. The inside of the oxygen cylinder is connected to the inside of the helmet end through a gas pipeline. Inside the bracelet end, there are an electrocardiogram sensor and a micro airbag pressure sensor. Inside the bracelet end, there are also an alarm button, a call button, and a positioning module. Inside the helmet end, there are a camera, a recorder, a microphone, and a video module.

[0025] It should be noted that when using the safety wearable device, the wearer puts on the backpack end on the back, puts on the bracelet end on the wrist, and wears the helmet end on the head. At the same time, the oxygen cylinder inside the backpack end is connected to the inside of the helmet end through a gas pipeline. The oxygen cylinder provides 20 minutes of emergency oxygen supply for the wearer to ensure the normal breathing of the wearer in a harsh working environment. At the same time, the alarm button and call button set inside the bracelet end are used to alarm and call the support end, so as to ensure that the support end can rescue and provide off-site assistance to the wearer in time. The positioning module inside the bracelet end is used to real-time locate the position information of the wearer. At the same time, the electrocardiogram sensor and the micro airbag pressure sensor set inside the bracelet end are used to monitor the heart rate and blood pressure of the wearer in real time. The camera inside the helmet end is used to collect images of the wearer's working environment and transmit the collected environmental images to the inside of the support end in real time, so as to cooperate with the personnel of the support end to guide the wearer's operation. The video module inside the helmet end enables the wearer and the personnel of the support end to communicate in real time, so as to assist the rescue personnel and rescue organizers to intuitively judge the rescue environment and take corresponding rescue measures.

[0026] Furthermore, the backpack end further includes an environmental status detection and analysis module, a device operation safety analysis module, and a device operation warning module; The environmental status detection and analysis module is used to obtain the environmental parameters of each monitoring period in each working area corresponding to the wearer's working environment in real time, so as to obtain the environmental parameters of each monitoring period in each working area corresponding to the wearer's working environment. The specific real-time acquisition method is as follows: Several harmful gas sensors set inside the backpack end are used to monitor and collect the harmful gas concentration of each monitoring period in each working area corresponding to the wearer's working environment, so as to obtain the harmful gas concentration of each monitoring period in each working area corresponding to the wearer's working environment; The magnetic field sensor installed inside the backpack monitors and collects the magnetic field intensity in each monitoring period of each working area corresponding to the working environment of the wearer, obtaining the magnetic field intensity in each monitoring period of each working area corresponding to the working environment of the wearer. The environmental parameters in each monitoring period of each working area corresponding to the working environment of the wearer are jointly composed of the harmful gas concentration and the magnetic field intensity in each monitoring period of each working area corresponding to the working environment of the wearer.

[0027] The device operation safety analysis module is used to calculate and analyze the environmental parameters in each monitoring period of each working area corresponding to the working environment of the wearer, obtaining the device operation safety factor in each monitoring period of each working area corresponding to the working environment of the wearer. The specific calculation and analysis method is as follows: Extract the harmful gas concentration and the magnetic field intensity in each monitoring period of each working area corresponding to the working environment of the wearer from the environmental parameters in each monitoring period of each working area corresponding to the working environment of the wearer, and record them as HQ i j and CQ i j , where i represents the number of each working area, i = 1, 2,..., n, n represents the total number of the numbers of each working area, j represents the number of each monitoring period, j = 1, 2,..., m, and m represents the total number of the numbers of each monitoring period; Obtain the concentrations of various harmful gases in each monitoring period of each working area corresponding to the working environment of the wearer, multiply the concentrations of various harmful gases by the corresponding weight coefficients respectively, and sum up the product results of the concentrations of various harmful gases and the weight coefficients to obtain the comprehensive harmful gas index in each monitoring period of each working area corresponding to the working environment of the wearer, denoted as HQZ i j ; Obtain the maximum value and the minimum value of the magnetic field intensity in each monitoring period of each working area corresponding to the working environment of the wearer from the database. Calculate the difference between the magnetic field intensity and the minimum value of the magnetic field intensity in each monitoring period of each working area corresponding to the working environment of the wearer. At the same time, calculate the difference between the maximum value and the minimum value of the magnetic field intensity in each monitoring period of each working area corresponding to the working environment of the wearer. Calculate the ratio of the two differences to obtain the magnetic field intensity normalization index in each monitoring period of each working area corresponding to the working environment of the wearer, denoted as CBg i j ; According to the formula S = w1 * HQZ i j + w2 * CBg i jCalculate the equipment operation safety factor S for each monitoring period in each operation area corresponding to the operation environment of the wearer. w1 and w2 respectively represent the corresponding weight coefficients, and w1 + w2 = 1.

[0028] The equipment operation warning module is used to compare and analyze the equipment operation safety factors for each monitoring period in each operation area corresponding to the operation environment of the wearer, and obtain the equipment operation signals for each monitoring period in each operation area corresponding to the operation environment of the wearer. The specific comparison and analysis method is as follows: Obtain the preset equipment operation safety factor threshold for each monitoring period in each operation area corresponding to the operation environment of the wearer from the data; it should be noted that the equipment operation safety factor threshold is determined based on historical data, simulation experiments, and industry standards and specifications; If the equipment operation safety factor for each monitoring period in each operation area corresponding to the operation environment of the wearer ≤ the preset equipment operation safety factor threshold, it indicates that the equipment operation is in a relatively safe state under the current operation environment, and generate the equipment operation safety signal for each monitoring period in each operation area corresponding to the operation environment of the wearer; If the equipment operation safety factor for each monitoring period in each operation area corresponding to the operation environment of the wearer > the preset equipment operation safety factor threshold, it indicates that there is a certain risk in the equipment operation under the current operation environment, generate the equipment operation risk signal for each monitoring period in each operation area corresponding to the operation environment of the wearer, and send an alarm message to the operators and managers to take corresponding measures in a timely manner, such as suspending operations, inspecting equipment, strengthening ventilation, etc.; In a specific embodiment, in the present invention, by setting an environmental status detection and analysis module, an equipment operation safety analysis module, and an equipment operation warning module inside the backpack end, the harmful gas concentration and magnetic field strength for each monitoring period in each operation area corresponding to the operation environment of the wearer are monitored in real time. After normalizing the two data, comprehensive calculation is performed to obtain the equipment operation safety factor for each monitoring period in each operation area corresponding to the operation environment of the wearer. After comparing the equipment operation safety factor with the preset equipment operation safety factor threshold, according to the comparison result, generate the equipment operation safety signal and equipment operation risk signal for each monitoring period in each operation area corresponding to the operation environment of the wearer, so as to send an alarm message to the operators and managers and take corresponding measures in a timely manner, improving the safety guarantee for the wearer during rescue operations.

[0029] Furthermore, the helmet end further includes a sound spectrum detection and analysis module, a helmet pressure detection and analysis module, and a rescue status warning and analysis module; The sound spectrum detection and analysis module is used to collect the ambient sound in each monitoring period of each working area corresponding to the working environment of the wearer in real time, so as to obtain the ambient sound in each monitoring period of each working area corresponding to the working environment of the wearer. The specific collection method is as follows: Use a microphone to collect the ambient sound in each monitoring period of each working area corresponding to the working environment of the wearer, amplify the weak sound signal through an amplifier, use an analog-to-digital converter (ADC) to convert the analog signal into a digital signal, perform frame segmentation on the digital sound signal, divide the continuous signal into several signal frames of short time periods, perform windowing processing on each signal frame to reduce spectrum leakage, perform FFT transformation on the windowed signal frame to obtain the frequency-domain signal, and calculate the amplitude spectrum and phase spectrum of the FFT result to obtain the amplitude and phase information of the sound at different frequencies; It should be noted that different sound types (such as machine noise, alarm sound, human voice, etc.) can be classified by training a machine learning model to detect potential dangerous situations in a timely manner.

[0030] The helmet pressure detection and analysis module is used to collect the internal pressure in each monitoring period of each working area corresponding to the working environment of the wearer in real time, so as to obtain the internal pressure in each monitoring period of each working area corresponding to the working environment of the wearer. The specific collection method is as follows: Use the pressure sensor set inside the helmet to collect the internal pressure in each monitoring period of each working area corresponding to the working environment of the wearer in real time, so as to obtain the internal pressure in each monitoring period of each working area corresponding to the working environment of the wearer; Obtain the maximum internal pressure and the minimum internal pressure in each monitoring period of each working area corresponding to the working environment of the wearer from the database; Subtract the minimum internal pressure from the internal pressure in each monitoring period of each working area corresponding to the working environment of the wearer, and then subtract the minimum internal pressure from the maximum internal pressure in each monitoring period of each working area corresponding to the working environment of the wearer. Finally, compare the two sets of difference calculation results to obtain the internal pressure uniformity value in each monitoring period of each working area corresponding to the working environment of the wearer. Multiply the internal pressure uniformity value in each monitoring period of each working area corresponding to the working environment of the wearer by the corresponding weight factor to obtain the pressure safety assessment coefficient in each monitoring period of each working area corresponding to the working environment of the wearer.

[0031] The rescue status warning analysis module is used to compare and analyze the pressure safety assessment coefficient and the ambient sound in each monitoring period of each working area corresponding to the working environment of the wearer. The specific comparison and analysis method is as follows: Obtain the preset pressure safety assessment coefficient standard range values for each monitoring period in each working area corresponding to the working environment of the wearer from the database; Compare the pressure safety assessment coefficients of each monitoring period in each working area corresponding to the working environment of the wearer with the preset pressure safety assessment coefficient standard range values. If the pressure safety assessment coefficient is within the preset pressure safety assessment coefficient standard range values, it indicates that the internal pressure of the helmet end is within the safe pressure range, and a pressure safety signal is generated; if the pressure safety assessment coefficient is greater than the maximum value of the preset pressure safety assessment coefficient standard range values, it indicates that the internal pressure of the helmet end is within the risky pressure range, and a pressure too high signal is generated; if the pressure safety assessment coefficient is less than the minimum value of the preset pressure safety assessment coefficient standard range values, it indicates that the internal pressure of the helmet end is within the risky pressure range, and a pressure too low signal is generated; Extract characteristic parameters from the amplitude and phase information of sound at different frequencies, compare the extracted sound spectrum characteristics with known sound patterns, perform pattern recognition and classification, and at the same time establish a specific sound pattern library. When the collected sound matches the dangerous sound pattern in the library, it indicates that the environmental sound in each monitoring period in each working area corresponding to the working environment of the wearer is abnormal, and an environmental sound risk signal for each monitoring period in each working area corresponding to the working environment of the wearer is generated, and an alarm is issued to remind the wearer to pay attention to safety.

[0032] In a specific embodiment, in the present invention, through the sound spectrum detection and analysis module, advanced acquisition and conversion technologies are adopted to capture and analyze the environmental sound in real time. It not only accurately quantifies the amplitude and phase of the sound, but also classifies different sound types through a machine learning model, which helps to timely identify specific sounds such as machine noise, alarm sounds, and human voices, effectively warning of possible potential dangerous situations. At the same time, this module calculates the FFT transform and the amplitude spectrum and phase spectrum to deeply understand the sound characteristics, laying a solid foundation for the comprehensive analysis of the working environment; and combined with the helmet pressure detection and analysis module to further strengthen the protection, real-time monitoring of the internal pressure change and comparing with the historical maximum and minimum pressure values, calculating the pressure uniformity value per unit time, and evaluating the pressure safety coefficient in combination with the weight factor to ensure the safety and reliability of the core equipment for operation. This precise pressure monitoring and timely alarm provide significant safety guarantees for the staff and effectively prevent accidents caused by abnormal pressure; Finally, the rescue status warning analysis module comprehensively utilizes the pressure safety factor and sound characteristics to construct a dual defense line for risk assessment. By comparing and analyzing with the preset pressure safety standard range, and extracting fine features and performing pattern recognition on the collected sound patterns, the system can quickly issue a warning signal when the pressure safety factor deviates from the standard range or key technical indicators are abnormal. At the same time, it can quickly classify abnormal sounds. Whether the pressure is too high, too low, or the environmental sound is abnormal, it can be promptly revealed. This technology is designed as a real-time sentinel to ensure that workers can respond in a timely manner in dangerous situations, significantly improving the safety factor of the working environment and injecting powerful intelligent power into safe production. By integrating the three core functions of sound analysis, pressure monitoring, and intelligent warning, it not only achieves all-round and precise monitoring of the working environment, but also significantly improves the safety protection level of on-site personnel through an intelligent analysis and warning system, prevents the risk of potential accidents, and improves the overall operation safety and efficiency, demonstrating the excellent value of intelligent technology in the field of modern production safety.

[0033] At the same time, the content not described in detail in this specification belongs to the prior art well-known to those skilled in the art.

[0034] It should be noted that in this article, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the term "comprising", "including" or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, article or device comprising a series of elements not only includes those elements, but also includes other elements not expressly listed, or elements inherent to such process, method, article or device.

[0035] Although the embodiments of the present invention have been shown and described, it will be understood by those of ordinary skill in the art that various changes, modifications, substitutions and variations can be made to these embodiments without departing from the principles and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An intelligent comprehensive multifunctional rescue and dangerous operation safety wearable device, comprising a safety wearable device and a support end, wherein the safety wearable device comprises a backpack end, a bracelet end and a helmet end, and is characterized in that: The backpack end includes an environmental status detection and analysis module, an equipment operation safety analysis module and an equipment operation early warning module; The environmental status detection and analysis module is used to obtain the environmental parameters of each monitoring period in each working area corresponding to the working environment of the wearer in real time, and obtain the environmental parameters of each monitoring period in each working area corresponding to the working environment of the wearer; The equipment operation safety analysis module is used to calculate and analyze the environmental parameters of each monitoring period in each operating area corresponding to the working environment of the wearer, and obtain the equipment operation safety factor of each monitoring period in each operating area corresponding to the working environment of the wearer; The equipment operation warning module is used to compare and analyze the equipment operation safety factors of each monitoring period in each operating area corresponding to the wearer's working environment, and obtain the equipment operation signals of each monitoring period in each operating area corresponding to the wearer's working environment; The helmet end also includes a sound spectrum detection and analysis module, a helmet pressure detection and analysis module and a rescue status warning analysis module; the sound spectrum detection and analysis module is used to collect the environmental sound of each monitoring period in each operating area corresponding to the working environment of the wearer in real time, and obtain the environmental sound of each monitoring period in each operating area corresponding to the working environment of the wearer; The helmet pressure detection and analysis module is used to collect the internal pressure of each monitoring period in each working area corresponding to the working environment of the wearer in real time, and obtain the internal pressure of each monitoring period in each working area corresponding to the working environment of the wearer; The rescue status warning analysis module is used to compare and analyze the pressure safety assessment coefficient and environmental sound of the wearer's working environment in each monitoring period in each working area.

2. The intelligent comprehensive multifunctional rescue and dangerous operation safety wearable device according to claim 1, characterized in that: There are several safety wearable devices, and the several safety wearable devices and the several safety wearable devices and the support end are connected through wireless communication. The backpack end, the bracelet end and the helmet end are electrically connected through wires. The backpack end is also equipped with an oxygen cylinder, a spare oxygen supply mask and a black box, and the interior of the oxygen cylinder is connected to the interior of the helmet end through an air duct. The bracelet end is equipped with an electrocardiogram sensor and a micro airbag pressure sensor, and the bracelet end is also equipped with an alarm button, a call button and a positioning module. The helmet end is equipped with a camera, a recorder, a microphone and a video module.

3. The intelligent comprehensive multifunctional rescue and dangerous operation safety wearable device according to claim 1, characterized in that: The method for obtaining the environmental parameters of each monitoring period in each working area corresponding to the working environment of the wearer in real time is as follows: The harmful gas concentrations in each monitoring period in each working area corresponding to the working environment of the wearer are monitored and collected by a plurality of harmful gas sensors arranged inside the backpack end, so as to obtain the harmful gas concentrations in each monitoring period in each working area corresponding to the working environment of the wearer; The magnetic field sensor disposed inside the backpack monitors and collects the magnetic field strength of each monitoring period in each working area corresponding to the working environment of the wearer, and obtains the magnetic field strength of each monitoring period in each working area corresponding to the working environment of the wearer; The environmental parameters of the wearer's working environment in each monitoring period in each working area are jointly composed of the harmful gas concentration and magnetic field strength of the wearer's working environment in each monitoring period in each working area.

4. The intelligent comprehensive multifunctional rescue and dangerous operation safety wearable device according to claim 1, characterized in that: The specific calculation and analysis method of calculating and analyzing the environmental parameters of each monitoring period in each working area corresponding to the working environment of the wearer is as follows: The concentration of harmful gases and the intensity of magnetic field in each monitoring period in each working area corresponding to the working environment of the wearer are extracted from the environmental parameters of each monitoring period in each working area corresponding to the working environment of the wearer, and are recorded as HQ i j and CQ i j , i represents the number of each operating area, i=1,2,...,n, n represents the total number of numbers of each operating area, j represents the number of each monitoring period, j=1,2,...,m, m represents the total number of numbers of each monitoring period; Obtain the concentration of various harmful gases in each monitoring period in each working area corresponding to the working environment of the wearer, multiply the concentration of each harmful gas by the corresponding weight coefficient, and sum the product of the concentration of each harmful gas and the weight coefficient to obtain the comprehensive index of harmful gases in each monitoring period in each working area corresponding to the working environment of the wearer, recorded as HQZ i j ; The maximum value and minimum value of the magnetic field intensity in each monitoring period in each working area corresponding to the working environment of the wearer are obtained from the database, and the magnetic field intensity and the minimum value of the magnetic field intensity in each monitoring period in each working area corresponding to the working environment of the wearer are calculated by difference. At the same time, the maximum value and the minimum value of the magnetic field intensity in each monitoring period in each working area corresponding to the working environment of the wearer are calculated by difference, and the difference between the two is calculated by comparison, and the normalized index of the magnetic field intensity in each monitoring period in each working area corresponding to the working environment of the wearer is obtained, which is recorded as CBg i j ; According to the formula S=w1*HQZ i j +w2*CBg i j The equipment operation safety factor S of the wearer's working environment in each monitoring period in each working area is calculated, w1 and w2 represent the corresponding weight coefficients respectively, and w1+w2=1.

5. The intelligent comprehensive multifunctional rescue and dangerous operation safety wearable device according to claim 1, characterized in that: The specific comparative analysis method of the equipment operation safety factor in each monitoring period in each operating area corresponding to the working environment of the wearer is as follows: Obtain the equipment operation safety factor thresholds preset in each monitoring period in each operating area corresponding to the working environment of the wearer from the data; If the equipment operation safety factor of each monitoring period in each operating area corresponding to the wearer's working environment is less than or equal to the preset equipment operation safety factor threshold, it means that the equipment operation is in a relatively safe state in the current working environment, and an equipment operation safety signal of each monitoring period in each operating area corresponding to the wearer's working environment is generated; If the equipment operation safety factor of each monitoring period in each working area corresponding to the working environment of the wearer is greater than the preset equipment operation safety factor threshold, it means that there is a certain risk in the equipment operation in the current working environment, and an equipment operation risk signal of each monitoring period in each working area corresponding to the working environment of the wearer is generated, and an alarm message is sent to the operating personnel and management personnel.

6. The intelligent comprehensive multifunctional rescue and dangerous operation safety wearable device according to claim 1, characterized in that: The environmental sound of each monitoring period in each working area corresponding to the working environment of the wearer is collected in real time, and the specific collection method is as follows: A microphone is used to collect the ambient sound of each working area in each monitoring period corresponding to the working environment of the wearer. The weak sound signal is amplified by an amplifier, and the analog signal is converted into a digital signal using an analog-to-digital converter (ADC). The digital sound signal is framed and the continuous signal is divided into several signal frames of short time periods. Each signal frame is windowed to reduce spectrum leakage. The windowed signal frame is transformed by FFT to obtain the frequency domain signal. The amplitude spectrum and phase spectrum of the FFT result are calculated to obtain the amplitude and phase information of the sound at different frequencies.

7. The intelligent comprehensive multifunctional rescue and dangerous operation safety wearable device according to claim 1, characterized in that: The internal pressure of each monitoring period in each working area corresponding to the working environment of the wearer is collected in real time, and the specific collection method is as follows: The internal pressure of each monitoring period in each working area corresponding to the working environment of the wearer is collected in real time by a pressure sensor arranged inside the helmet end, so as to obtain the internal pressure of each monitoring period in each working area corresponding to the working environment of the wearer; Obtain the maximum value and minimum value of the internal pressure in each monitoring period in each working area corresponding to the working environment of the wearer from the database; The internal pressure and the minimum internal pressure of each monitoring period in each working area corresponding to the working environment of the wearer are calculated by difference, and then the maximum internal pressure and the minimum internal pressure of each monitoring period in each working area corresponding to the working environment of the wearer are calculated by difference. Finally, the two sets of difference calculation results are compared to obtain the uniform value of the internal pressure of each monitoring period in each working area corresponding to the working environment of the wearer. Multiply the uniform value of the internal pressure of each monitoring period in each working area corresponding to the working environment of the wearer by the corresponding weight factor to obtain the pressure safety assessment coefficient of each monitoring period in each working area corresponding to the working environment of the wearer.

8. The intelligent comprehensive multifunctional rescue and dangerous operation safety wearable device according to claim 1, characterized in that: The pressure safety assessment coefficient and the ambient sound of each monitoring period in each working area corresponding to the working environment of the wearer are compared and analyzed. The specific comparative analysis method is as follows: Obtain from the database the standard range value of the pressure safety assessment coefficient preset in each monitoring period in each working area corresponding to the working environment of the wearer; The pressure safety assessment coefficient of each monitoring period in each working area corresponding to the working environment of the wearer is compared with the preset standard range value of the pressure safety assessment coefficient. If the pressure safety assessment coefficient is within the preset standard range value of the pressure safety assessment coefficient, it means that the internal pressure of the helmet end is within the safe pressure range, and a pressure safety signal is generated; if the pressure safety assessment coefficient is greater than the maximum value of the preset standard range value of the pressure safety assessment coefficient, it means that the internal pressure of the helmet end is within the risky pressure range, and a high pressure signal is generated; If the pressure safety assessment coefficient is less than the minimum value of the preset pressure safety assessment coefficient standard range value, it means that the internal pressure of the helmet end is within the risk pressure range, and a low pressure signal is generated; Feature parameters are extracted from the amplitude and phase information of the sound at different frequencies, and the extracted sound spectrum features are compared with known sound patterns for pattern recognition and classification. At the same time, a specific sound pattern library is established. When the collected sound matches the dangerous sound pattern in the library, it means that the environmental sound of the wearer's working environment corresponding to each monitoring period in each working area is abnormal, and an environmental sound risk signal of the wearer's working environment corresponding to each monitoring period in each working area is generated, and an alarm is issued to remind the wearer to pay attention to safety.

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