Aerial work intelligent safety belt early warning method based on 5G Internet of Things

Abstract

The invention relates to the technical field of high-altitude operation, and discloses a high-altitude operation intelligent safety belt early warning method based on the 5G Internet of Things, which comprises a multi-dimensional acquisition module, an emergency positioning module and an early warning management module. According to the system, data sets are collected through the multi-dimensional collection module, risk indexes are calculated and generated through the emergency positioning module, the environment quality and the communication quality of the position where an operator is located are comprehensively evaluated, communication is smooth, the rescue action safety is higher, and the emergency positioning module calculates and generates a tracking trajectory; the dynamic track of each operator is monitored and played back in real time, safety management is enhanced in emergency, the emergency response unit calculates and generates a three-dimensional model, the field sensing capability is high, the fire point and the fire reason can be quickly analyzed, the early warning management module judges the safety state of the operator, and the safety of the operator is improved. And corresponding alarm signals are generated and then transmitted to the intercom device and the central control board, so that the operation is standard and the rescue efficiency is high.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of high-altitude operation, in particular to a high-altitude operation intelligent safety belt early warning method based on 5G Internet of Things. BACKGROUND

[0002] The safety belt is a kind of safety tool commonly used in power production and construction. The traditional safety belt is composed of a belt, a rope and a metal fitting. The safety belt is the simplest and most effective safety protection device invented by mankind so far. Relevant research shows that high-altitude operation personnel who wear safety belts have twice the chance of survival in accidents than those who do not wear safety belts, and can reduce the chance of injury by 50%. Unfortunately, many high-altitude operation personnel ignore the importance of this "life belt" and cause major accidents.

[0003] At present, the traditional high-altitude operation intelligent safety belt early warning method based on 5G Internet of Things cannot realize real-time dynamic trajectory tracking. In the face of sudden accidents in high-altitude operation sites, the operation personnel are prone to lose direction and lose communication, which poses a great threat to life safety and seriously affects rescue efficiency. SUMMARY

[0004] In view of the shortcomings of the prior art, the present application provides a high-altitude operation intelligent safety belt early warning method based on 5G Internet of Things, which has the advantages of smooth communication, higher safety of rescue action, higher rescue efficiency of standard operation, etc. The problem of the traditional high-altitude operation intelligent safety belt early warning method based on 5G Internet of Things, which cannot realize real-time dynamic trajectory tracking, and the problem of communication loss of life safety are solved.

[0005] To achieve the above purpose, the present application provides the following technical scheme: a high-altitude operation intelligent safety belt early warning method based on 5G Internet of Things, comprising a multi-dimensional acquisition module, an emergency positioning module and an early warning management module; The multi-dimensional acquisition module comprises a 5G Internet of Things unit, a data transmission unit and a data acquisition unit. The 5G Internet of Things unit collects positioning data sets through network connection of RFID devices and transmits them to the emergency positioning module. The data transmission unit collects environmental data sets through network connection of data transmission devices and transmits them to the emergency positioning module. The data acquisition unit collects communication data sets through network connection of intercom devices and transmits them to the emergency positioning module. The multi-dimensional acquisition module is connected to the emergency positioning module through the network; The emergency positioning module comprises a data analysis unit, a data early warning unit and an emergency response unit. The data analysis unit calculates and generates a risk index according to the environmental data set and the intercom data set, and transmits it to the emergency response unit through the network. The data early warning unit calculates and generates a tracking trajectory and transmitted to the emergency response unit through the network, the emergency response unit calculates the risk index according to the risk index and the tracking trajectory , and generates a three-dimensional model The emergency positioning module is connected to the early warning management module through the network. The early warning management module calculates the risk index according to the risk index and the tracking trajectory , judges the safety state of the operation personnel, generates a corresponding alarm signal, and transmits it to the intercom device and the central control console.

[0006] Preferably, the positioning data set includes the body state data (such as heart rate, breathing rate, body posture, etc.) of the high-altitude worker collected by the multi-dimensional sensor (such as acceleration sensor, pressure sensor, temperature sensor, etc.) on the smart safety belt and the operation environment data (such as wind speed, temperature, humidity, etc.) captured by the RFID device, and the positioning data set expression is , represents the time point of the positioning of the worker captured by the RFID device, represents the position data of the positioning of the worker captured by the RFID device.

[0007] Preferably, the environment data set includes the temperature and environment data of the high-altitude operation site captured by the data transmission device, and the environment data set expression is , represents the temperature of the high-altitude operation site captured by the data transmission device, represents the environment data of the high-altitude operation site captured by the data transmission device.

[0008] Preferably, the intercom data set includes the communication content input and output by the intercom terminal, and the intercom data set expression is , represents the communication content input by the intercom terminal, represents the communication content output by the intercom terminal, and 1-n in the positioning data set, 1-n in the environment data set, and 1-n in the intercom data set correspond to all the operation personnel participating in the high-altitude operation site in turn.

[0009] Preferably, the data analysis unit calculates the risk index according to the environment data set and the intercom data set , and the calculation formula is as follows: In the formula, represents the risk index, represents a fixed parameter for defining a safety standard in the risk index calculation formula, This involves comparing the ambient temperature and environmental data of workers 1 to n in the environmental dataset with the communication content output by workers 1 to n in the intercom dataset via intercom terminals using fixed parameters to obtain the safety risk index of the environment for each worker.

[0010] Preferably, the data early warning unit calculates and generates a tracking trajectory based on the location dataset. The calculation formula is as follows: In the formula, Indicates tracking trajectory, This means that, in chronological order, based on the location data of workers 1 to n in the location dataset, data warning trajectories are generated for each worker through analysis and calculation.

[0011] Preferably, the emergency response unit is based on a risk index. and tracking trajectory Calculate and generate a 3D model The calculation formula is as follows: In the formula, Representing a 3D model, This means combining the data warning trajectory of each worker with the captured environmental safety risk index to create a three-dimensional model from a 3D perspective.

[0012] Preferably, the early warning management module monitors the risk index of each worker in real time. If the risk index of a single or multiple workers When the preset value is exceeded, the early warning management module determines that there is a life-threatening danger at the location of the operator, generates a danger alarm signal and transmits it to the intercom device and the central control console.

[0013] Preferably, the early warning management module monitors the tracking trajectory of each worker in real time. If the tracking trajectory of one or more workers Tracking trajectory of other workers When the spatial distance exceeds the preset value, the early warning management module determines that the operator is out of the response range and generates a deviation alarm signal, which is then transmitted to the intercom device and the central control console.

[0014] Preferably, the early warning management module transmits the 3D model via a network. The data is transmitted to the central control console to assist administrators in directing the movement of personnel.

[0015] Compared with existing technologies, this invention provides a smart safety belt early warning method for high-altitude operations based on 5G Internet of Things, which has the following beneficial effects: 1. The application sets up a 5G Internet of Things unit, a data transmission unit and a data acquisition unit through a multi-dimensional acquisition module to respectively acquire a positioning data set, an environmental data set and a communication data set, sets up a data analysis unit, a data early warning unit and an emergency response unit through an emergency positioning module, the data analysis unit calculates a risk index according to the environmental data set and the talkback data set , comprehensively evaluates the environmental quality and the communication quality of the position where the operating personnel are located, ensures the communication efficiency at the same time, at any time guarantees the life safety of the operating personnel, the communication is smooth, the rescue action safety is higher, the data early warning unit calculates a tracking trajectory according to the positioning data set, real-time monitors and plays back the dynamic trajectory of each operating personnel, intensifies safety management in an emergency, facilitates the central control console to flexibly adjust the rescue strategy to adapt to the change of the fire, the emergency response unit calculates a three-dimensional model according to the risk index and the tracking trajectory , has strong on-site perception ability, is helpful for quickly analyzing the fire point and the fire cause, and avoids further spreading of the fire.

[0016] 2. The application judges the safety state of the operating personnel according to the risk index and the tracking trajectory through a pre-warning management module, if the risk index of a single or multiple operating personnel exceeds a preset value, the pre-warning management module judges that there is a life danger in the position where the operating personnel are located, generates a danger alarm signal and then transmits the danger alarm signal to the talkback device and the central control console, if the spatial distance between the tracking trajectory of a single or multiple operating personnel and the tracking trajectory of the remaining operating personnel exceeds a preset value, the pre-warning management module judges that the operating personnel are out of the response range, generates a deviation alarm signal and then transmits the deviation alarm signal to the talkback device and the central control console, the pre-warning management module transmits the three-dimensional model to the central control console through a network, assists the management personnel to dispatch the operating personnel action direction, improves the standardization and professionalism of the rescue action, and has high rescue efficiency. BRIEF DESCRIPTION OF DRAWINGS

[0017] Figure 1 It is the system flow schematic diagram of the application. DETAILED DESCRIPTION

[0018] The technical solutions in the embodiments of the application will be clearly and completely described below with reference to the drawings in the embodiments of the application. Obviously, the described embodiments are only part of the embodiments of the application, rather than all the embodiments of the application. Based on the embodiments in the application, all other embodiments obtained by those skilled in the art without creative labor fall within the protection scope of the application.

[0019] Referring to Figure 1 , the high-altitude operation intelligent safety belt early warning method based on 5G Internet of Things includes a multi-dimensional acquisition module, an emergency positioning module, and a warning management module; The multi-dimensional acquisition module includes a 5G Internet of Things unit, a data transmission unit, and a data acquisition unit. The 5G Internet of Things unit collects positioning data sets through network connection of RFID devices and transmits them to the emergency positioning module. The positioning data set includes real-time collection of body state data (such as heart rate, breathing rate, body posture, etc.) of high-altitude operators and operation environment data (such as wind speed, temperature, humidity, etc.) by multi-dimensional sensors (such as acceleration sensor, pressure sensor, temperature sensor, etc.) on the intelligent safety belt captured by the RFID device. The positioning data set expression is , represents the time point when the RFID device captures the positioning of the operator, and the positioning data is updated in real time to avoid the operator from losing direction and being unable to find his way back, and to provide detailed basis for fire accident analysis, represents the position data of the operator captured by the RFID device. The central control console can understand the distribution of the operator in the fire scene in real time, so as to adjust the combat strategy and personnel deployment according to the actual situation. The positioning data is of great significance to improve the efficiency of fire fighting and rescue, ensure the safety of operators, and optimize equipment and strategies. The data transmission unit collects environment data sets through network connection of data transmission devices and transmits them to the emergency positioning module. The environment data set includes temperature and environment data captured by the data transmission device at the high-altitude operation site. The environment data set expression is , represents the temperature captured by the data transmission device at the high-altitude operation site, represents the environment data captured by the data transmission device at the high-altitude operation site. Real-time collection of temperature and environment data at the fire scene can help the central control console more accurately judge the development trend and danger level of the fire scene, so as to develop more appropriate fire fighting and rescue strategies and ensure the safety of operators. Changes in temperature and environment data not only indicate whether there is a risk of explosion in the fire scene, but also assist operators in quickly finding the location of the fire source and improving the efficiency of fire fighting. The data acquisition unit collects communication data sets through network connection of intercom devices and transmits them to the emergency positioning module. The intercom data set includes the communication content input and output by the intercom terminal. The intercom data set expression is , represents the communication content input by the intercom terminal, The communication content output by the intercom terminal, the input and output communication content allow the operation personnel to communicate on different frequencies, guarantee the communication quality, and adjust to the frequency with the best voice quality. In the case of no mobile signal or the need for immediate and efficient communication, the intercom terminal provides a reliable communication means for long-distance communication. The 1st to nth in the positioning data set, the 1st to nth in the environment data set, and the 1st to nth in the intercom data set correspond to all the operation personnel participating in the high-altitude operation site in sequence. The multi-dimensional acquisition module is connected to the emergency positioning module through a network; The emergency positioning module includes a data analysis unit, a data warning unit, and an emergency response unit. The data analysis unit calculates and generates a risk index based on the environment data set and the intercom data set , and transmits it to the emergency response unit through a network. The calculation formula is as follows: In the formula, represents the risk index, represents a fixed parameter that defines the safety standard in the risk index calculation formula, represents the comparison of the environmental temperature of the 1st to nth operation personnel in the environment data set and the communication content output by the 1st to nth operation personnel in the intercom terminal in the intercom data set with the fixed parameter, and the analysis of the safety risk index of the environment where each operation personnel is located. According to the risk index , the environmental quality and communication quality of the location where the operation personnel is located are comprehensively evaluated, ensuring communication efficiency while ensuring the safety of the operation personnel at all times, and the smooth communication ensures the safety of the rescue action.

[0020] The data warning unit calculates and generates a tracking trajectory based on the positioning data set, and transmits it to the emergency response unit through a network. The calculation formula is as follows: In the formula, represents the tracking trajectory, represents the analysis and calculation of the data warning trajectory of each operation personnel according to the position data of the 1st to nth operation personnel in the positioning data set in chronological order, and according to the tracking trajectory , the dynamic trajectory of each operation personnel is monitored and played back in real time, and safety management is strengthened in emergency situations, facilitating the flexible adjustment of rescue strategies by the central control console to adapt to changes in the fire situation.

[0021] The emergency response unit calculates and generates a three-dimensional model based on the risk index and the tracking trajectory , and the calculation formula is as follows: In the formula, Representing a 3D model, This means combining the data warning trajectory of each worker with the captured environmental safety risk index to create a 3D model from a 3D perspective, and then using the 3D model... It has strong on-site perception capabilities, which helps to quickly analyze the ignition point and cause of the fire and prevent the fire from spreading further. The emergency positioning module connects to the early warning management module via a network; The early warning management module monitors the risk index of each worker in real time. If the risk index of a single or multiple workers When the preset value is exceeded, the early warning management module determines that there is a life-threatening danger at the location of the operator, generates a danger alarm signal, and transmits it to the intercom device and the central control console. The early warning management module monitors the tracking trajectory of each operator in real time. If the tracking trajectory of one or more workers Tracking trajectory of other workers When the spatial distance exceeds a preset value, the early warning management module determines that the operator is out of the response range, generates a deviation alarm signal, and transmits it to the intercom device and the central control console. The early warning management module then transmits the 3D model via the network. The data is transmitted to the central control console to assist management personnel in directing the movement of rescue workers, improving the standardization and professionalism of rescue operations, and ensuring high efficiency through standardized operations.

[0022] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A method for high-altitude operation intelligent safety belt early warning based on 5G Internet of Things, characterized in that: The multi-dimensional acquisition module, the emergency positioning module and the early warning management module are connected through a network. The multi-dimensional acquisition module comprises a 5G Internet of Things unit, a data transmission unit and a data acquisition unit. The 5G Internet of Things unit collects positioning data sets through an RFID device connected through a network and transmits the positioning data sets to the emergency positioning module. The data transmission unit collects environmental data sets through a data transmission device connected through a network and transmits the environmental data sets to the emergency positioning module. The data acquisition unit collects communication data sets through an intercom device connected through a network and transmits the communication data sets to the emergency positioning module. The multi-dimensional acquisition module is connected to the emergency positioning module through a network. The emergency positioning module includes a data analysis unit, a data early warning unit, and an emergency response unit. The data analysis unit calculates and generates a risk index based on the environmental dataset and the intercom dataset. The data is transmitted via network to the emergency response unit, which then calculates and generates a tracking trajectory based on the location dataset. The data is then transmitted via network to the emergency response unit, which determines the risk level based on the risk index. and tracking trajectory Calculate and generate a 3D model The emergency positioning module is connected to the early warning management module via a network; The pre-warning management module judges the safety state of the operation personnel according to the risk index And tracks the trajectory , judges the safety state of the operation personnel, generates corresponding alarm signals and transmits to the intercom device and the central control console.

2. The 5G Internet of Things-based aerial work intelligent safety belt early warning method of claim 1, characterized in that: The positioning data set includes body state data (such as heart rate, breathing rate, body posture, etc.) of the high-altitude worker and work environment data (such as wind speed, temperature, humidity, etc.) collected by a multi-dimensional sensor (such as an acceleration sensor, a pressure sensor, a temperature sensor, etc.) on the intelligent safety belt in real time when the RFID device captures the worker, and the positioning data set expression is , represents a time point when the RFID device captures the worker positioning, represents position data when the RFID device captures the worker positioning.

3. The 5G Internet of Things-based aerial work intelligent safety belt early warning method of claim 2, characterized in that: The environmental data set includes temperature and environmental data captured by the data transmission device at the aerial work site, and the environmental data set is expressed as , represents temperature captured by the data transmission device at the aerial work site, represents environmental data captured by the data transmission device at the aerial work site.

4. The 5G Internet of Things-based aerial work intelligent safety belt early warning method of claim 3, characterized in that: The intercom data set includes communication contents of intercom terminal input and output, and is expressed as , represents communication contents of intercom terminal input, represents communication contents of intercom terminal output, and 1 to n in the positioning data set, 1 to n in the environment data set, and 1 to n in the intercom data set correspond to all workers participating in the aerial work site in turn.

5. The 5G Internet of Things-based aerial work intelligent safety belt early warning method of claim 4, characterized in that: The data analysis unit calculates a risk index according to the environmental data set and the talkback data set The calculation formula is as follows: In the formula, represents a risk index, represents a fixed parameter defining a safety standard in the risk index calculation formula, represents a safety risk index of the environment where each worker is located, which is obtained by comparing the environmental temperature where the workers 1 to n are located, the environmental data, and the communication content output by the workers 1 to n through the intercom terminal in the intercom data, with the fixed parameter.

6. The 5G Internet of Things-based aerial work intelligent safety belt early warning method of claim 5, characterized in that: The data warning unit calculates a tracking trajectory according to the positioning data set The calculation formula is as follows: In the formula, represents tracking the trajectory, representing that according to the time sequence, the position data of the 1st to nth workers in the positioning data set is analyzed and calculated to generate the data warning trajectory of each worker.

7. The 5G Internet of Things-based aerial work intelligent safety belt early warning method according to claim 6, characterized in that: The emergency response unit calculates the risk index and the tracking trajectory , and generates a three-dimensional model with the following formula: In the formula, represents a three-dimensional model, The data early warning track of each worker is combined with the captured environmental safety risk index to establish a three-dimensional model in a 3D perspective. 8.The 5G Internet of Things based aerial work intelligent safety belt early warning method according to claim 5, characterized in that: The early warning management module monitors the risk index of each worker in real time. If the risk index of a single or multiple workers When the preset value is exceeded, the early warning management module determines that there is a life-threatening danger at the location of the operator, generates a danger alarm signal and transmits it to the intercom device and the central control console. 9.The 5G Internet of Things based aerial work intelligent safety belt early warning method according to claim 6, characterized in that: The pre-warning management module monitors the tracking trajectory of each worker in real time If the tracking trajectory of a single or multiple workers is more than a preset value away from the tracking trajectory of the rest of the workers , the pre-warning management module determines that the worker has exceeded the response range and generates a deviation warning signal and transmits it to the intercom device and the central control console.

10. The 5G Internet of Things-based aerial work intelligent safety belt early warning method of claim 7, characterized in that: The pre-warning management module transmits the stereoscopic model to a central control console through a network to assist a management personnel to dispatch the action direction of the operation personnel. transmit to a central control console, auxiliary management personnel to dispatch the action direction of the operation personnel.

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