Fire-fighting single-person on-duty assistant based on Ai technology

Abstract

The invention discloses a fire-fighting single-person on-duty assistant based on Ai technology, which comprises an AI assistant module, the AI assistant module comprises an intelligent monitoring module and an intelligent scheduling module, and the AI assistant module comprises a remote assistance module and a data analysis and report module; rapid response and accurate scheduling of fire alarm information are realized through the intelligent monitoring and scheduling module, the time for fire-fighting resources to arrive at a fire scene is shortened, operators on duty are helped to better cope with emergency tasks through the remote assistance module and the data analysis and report module, the working pressure is reduced, and the working efficiency is improved. Through data support provided by the data analysis and report module, the fire station can formulate and optimize a management strategy more scientifically, the overall management level is improved, comprehensive support and optimization of a fire-fighting on-duty task are realized through an intelligent means, the response speed and accuracy are improved, the workload of an operator on duty is reduced, and the working efficiency is improved. And the overall management level of the fire station is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of fire fighting assistants, and specifically to a single-person fire fighting duty assistant based on AI technology. Background Art

[0002] The duty system of fire stations is an indispensable key mechanism to ensure public safety and effectively respond to fires and other emergencies. It not only represents the solemn commitment of the fire department to the safety of people's lives and property, but also a solid defense line in the urban disaster prevention and mitigation system. The duty system of fire stations is an important mechanism to ensure public safety and effectively respond to fires and other emergencies. It requires fire stations to always maintain a high level of alertness, ensure that duty personnel have a high sense of responsibility and professional qualities, as well as the ability of teamwork and information sharing, so as to remain calm and firm in the face of disasters and contribute to the safety and stability of the city.

[0003] In modern fire fighting work, the duty tasks of fire stations are heavy and complex, requiring constant monitoring of fire alarm information, dispatching of fire fighting resources, communication with on-site personnel, etc. The traditional fire fighting duty mode often relies on manual monitoring and response, which not only increases the work pressure of duty personnel, but also limits the response speed and accuracy. Especially in the case of single-person duty, due to limited manpower, it is often difficult to handle multiple emergency tasks simultaneously. Summary of the Invention

[0004] The purpose of the present invention is to provide a single-person fire fighting duty assistant based on AI technology to solve the problems raised in the above background art.

[0005] To achieve the above purpose, the present invention provides the following technical solution: A single-person fire fighting duty assistant based on AI technology, including an AI assistant module, the AI assistant module includes an intelligent monitoring module and an intelligent dispatching module, and the AI assistant module includes a remote assistance module and a data analysis and reporting module.

[0006] Preferably, the intelligent monitoring module includes an intelligent acquisition module, a signal processing module, an intelligent analysis module, and an alarm and notification module.

[0007] Preferably, the intelligent monitoring module further includes a log recording and storage module, an interface and integration module, and a configuration and management module.

[0008] Preferably, the intelligent dispatching module includes a task receiving and analysis module, a resource management and allocation module, a path planning and navigation module, a dispatching strategy formulation and execution module, a real-time monitoring and adjustment module, and a communication and coordination module.

[0009] Preferably, the intelligent dispatching module further includes a log recording and analysis module.

[0010] Preferably, the remote assistance module includes a communication connection module, a screen sharing module, a remote control module, and a voice and video call module.

[0011] Preferably, the remote assistance module further includes a file transfer module, a session management module, a security authentication module, and a logging and reporting module.

[0012] Preferably, the data analysis and reporting module includes a data collection module, a data preprocessing module, a data analysis module, a data visualization module, a report generation module, and a report formulation and optimization module.

[0013] Preferably, the data analysis and reporting module further includes a permission management and security module and a logging and auditing module.

[0014] Compared with the prior art, the beneficial effects of the present invention are as follows: Through the intelligent monitoring and dispatching module, rapid response and accurate dispatching of fire alarm information are achieved, shortening the time for fire fighting resources to reach the fire scene. Through the remote assistance module and the data analysis and reporting module, it helps the duty personnel better handle emergency tasks, reduces work pressure, and improves work efficiency. With the data support provided by the data analysis and reporting module, the fire station can formulate and optimize management strategies more scientifically, improving the overall management level.

[0015] Through intelligent means, comprehensive support and optimization for fire duty tasks are realized, improving the response speed and accuracy, reducing the work burden of the duty personnel, and enhancing the overall management level of the fire station. Applying AI technology to the field of fire duty can achieve automatic analysis, intelligent dispatching, and remote assistance for fire alarm information, thus reducing the work burden of the duty personnel, improving the response speed and accuracy, and having broad application prospects and important social value. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 It is a schematic block diagram of the AI assistant module of the present invention.

[0017] Figure 2 It is a schematic block diagram of the intelligent monitoring module of the present invention.

[0018] Figure 3 It is a schematic block diagram of the intelligent dispatching module of the present invention.

[0019] Figure 4 It is a schematic block diagram of the remote assistance module of the present invention.

[0020] Figure 5 It is a schematic block diagram of the data analysis and reporting module of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0021] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying 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 the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0022] Please refer to Figures 1 - 5 , the present invention provides a technical solution: a single-person fire duty assistant based on AI technology, including an AI assistant module, the AI assistant module includes an intelligent monitoring module and an intelligent dispatching module, and the AI assistant module includes a remote assistance module and a data analysis and reporting module.

[0023] The working principle of the above technical solution: The intelligent monitoring module is responsible for receiving information from the fire alarm system, including the fire location, the size of the fire, the situation of trapped people, etc., and uses AI algorithms to analyze the received information in real time to judge the severity and urgency of the fire, providing a basis for subsequent dispatching and response. The intelligent dispatching module is responsible for automatically dispatching fire trucks and personnel according to the analysis results of the intelligent monitoring module. Through AI algorithms, considering factors such as the fire location, the size of the fire, road conditions, and the real-time positions of fire trucks and personnel, it formulates the optimal dispatching plan to ensure that fire resources can quickly reach the fire scene. The remote assistance module realizes remote communication and assistance with on-site personnel through AI technology. The duty personnel can conduct video calls with on-site personnel through this module to understand the on-site situation, provide remote guidance and suggestions. At the same time, the remote assistance module can also automatically provide relevant fire fighting knowledge and emergency plans according to the on-site situation to help on-site personnel better cope with the fire. The data analysis and reporting module is responsible for collecting and analyzing various data during the fire duty process, including fire alarm information, dispatching records, response speed, etc., and deeply mines and analyzes these data through AI algorithms to find potential problems and improvement points, providing a basis for the daily management and optimization of the fire station.

[0024] In another embodiment, as Figures 1 - 5 shown, the intelligent monitoring module includes an intelligent acquisition module, a signal processing module, an intelligent analysis module, and an alarm and notification module. The intelligent monitoring module also includes a log recording and storage module, an interface and integration module, and a configuration and management module.

[0025] The intelligent acquisition module is the foundation of the intelligent monitoring module and is responsible for collecting data from various sensors, detectors, or alarm systems. The signal processing module preprocesses the collected raw data to ensure the accuracy and reliability of the data. It can also perform some preliminary data analysis, such as anomaly detection, to identify potential problems or events. The intelligent analysis module is the core of the intelligent monitoring module and uses AI algorithms to deeply analyze the processed data. The intelligent analysis module can identify fire characteristics, evaluate the size of the fire, predict the trend of fire spread, identify the location of trapped people, etc., providing key information for decision-making. The alarm and notification module is responsible for triggering the alarm mechanism and sending alarm information to relevant personnel through various methods such as sound, light, SMS, email, APP push, etc., ensuring the immediate transmission of information. The log recording and storage module can save all monitoring data and event records for subsequent data analysis, report generation, and accident tracing. The log recording and storage module ensures the integrity, security, and long-term accessibility of the data. The interface and integration module provides the necessary API interfaces and data exchange protocols to ensure seamless integration and information sharing between systems. The configuration and management module is used for system configuration, maintenance, and management.

[0026] In another embodiment, as Figures 1 - 5 shown, the intelligent scheduling module includes a task receiving and analysis module, a resource management and allocation module, a path planning and navigation module, a scheduling strategy formulation and execution module, a real-time monitoring and adjustment module, and a communication and coordination module. The intelligent scheduling module also includes a log recording and analysis module.

[0027] The task receiving and analysis module is responsible for receiving task requests from the intelligent monitoring module or other sources, parsing the received task information, and extracting key information. The resource management and allocation module is used to manage and monitor various resources in the system and intelligently allocate resources according to task requirements and resource status to ensure optimal resource utilization. The path planning and navigation module can plan the optimal path for dispatching resources based on factors such as task location, road conditions, and real-time traffic information, and provide navigation information to ensure that resources can reach the task site quickly and accurately. The scheduling strategy formulation and execution module can formulate scheduling strategies by comprehensively considering factors such as task priority, resource availability, and time constraints, and execute the scheduling strategies, sending task instructions and scheduling information to resources. The real-time monitoring and adjustment module can monitor the task execution situation and resource status in real time, such as vehicle location and task progress, and dynamically adjust the scheduling strategy according to the real-time monitoring information to ensure the smooth execution of tasks. The communication and coordination module is responsible for communicating and coordinating with the task site, other scheduling systems, or relevant departments to ensure smooth information flow and timely response and handling of emergencies. The log recording and analysis module is used to record key information and data during task execution, analyze the data, extract valuable information and patterns, and provide support for optimizing scheduling strategies.

[0028] In another embodiment, as Figures 1 - 5 shown, the remote assistance module includes a communication connection module, a screen sharing module, a remote control module, and a voice and video call module. The remote assistance module also includes a file transfer module, a session management module, a security authentication module, and a logging and reporting module.

[0029] The communication connection module is responsible for establishing and maintaining the communication connection during the remote assistance process, supporting multiple communication protocols and network environments to ensure stable and efficient data transmission. The screen sharing module can achieve real-time sharing and viewing of the remote screen, allowing the assisting party to view the screen content of the assisted party in real time for diagnosis and guidance. The remote control module provides the function of remotely controlling the assisted party's computer, and the assisting party can operate the assisted party's computer through a keyboard, mouse, etc. The voice and video call module supports remote voice and video call functions, allowing the assisting party and the assisted party to have real-time voice and video communication to enhance the communication effect. The file transfer module realizes the rapid transfer of files during the remote assistance process, and the assisting party and the assisted party can conveniently share and transfer files. The session management module is responsible for the management and control of the remote assistance session, including functions such as session creation, termination, and permission management, to ensure the security and controllability of the session. The security authentication module verifies and authorizes the user identities during the remote assistance process to ensure that only authenticated users can participate in the remote assistance session and guarantee the security of the session. The logging and reporting module records the key information and operation logs during the remote assistance process and generates detailed reports for subsequent analysis and improvement of the remote assistance process.

[0030] In another embodiment, as Figures 1 - 5 shown, the data analysis and reporting module includes a data collection module, a data preprocessing module, a data analysis module, a data visualization module, a report generation module, and a report formulation and optimization module. The data analysis and reporting module also includes a permission management and security module and a logging and auditing module.

[0031] The data collection module is responsible for collecting relevant data from various data sources to ensure the integrity, accuracy, and timeliness of the data. The data preprocessing module performs operations such as cleaning, sorting, and converting the collected raw data to eliminate noise, outliers, and missing values in the data and improve data quality. The data analysis module applies statistical methods, machine learning algorithms, etc. to deeply analyze the data, extract valuable information and patterns, and discover potential problems and improvement points. The data visualization module visually displays the analysis results in the form of charts, graphs, etc. to help users more intuitively understand the data and analysis results. The report generation module automatically generates detailed reports based on the analysis results and data visualization content. The report formulation and optimization module provides the customization function of report templates to meet the different needs of users and continuously optimizes the report content and format according to user feedback and analysis results. The permission management and security module manages the permissions of the data and functions in the data analysis and report modules to ensure data security and privacy and prevent unauthorized access and operations. The log recording and auditing module records the key operations and event logs in the data analysis and report process and provides the auditing function for subsequent tracing and inspection of the data analysis and report process.

[0032] Working principle: Through the intelligent monitoring and scheduling module, the rapid response and accurate scheduling of fire alarm information are realized, shortening the time for fire-fighting resources to reach the fire scene. Through the remote assistance module and the data analysis and report module, it helps the duty personnel better handle emergency tasks, reduces work pressure, and improves work efficiency. With the data support provided by the data analysis and report module, the fire station can more scientifically formulate and optimize management strategies and improve the overall management level. Through intelligent means, the comprehensive support and optimization of fire-fighting duty tasks are achieved, improving the response speed and accuracy, reducing the work burden of the duty personnel, and enhancing the overall management level of the fire station. This invention has broad application prospects and important social value.

[0033] Although the embodiments of the present invention have been shown and described, for those of ordinary skill in the art, it can be understood 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. A fire single-person duty assistant based on AI technology, including an AI assistant module, characterized in that: The AI ​​assistant module includes an intelligent monitoring module and an intelligent scheduling module, and the AI ​​assistant module includes a remote assistance module and a data analysis and reporting module.

2. According to claim 1, a fire single-person duty assistant based on Ai technology is characterized by: The intelligent monitoring module includes an intelligent acquisition module, a signal processing module, an intelligent analysis module and an alarm and notification module.

3. According to claim 2, a fire single-person duty assistant based on Ai technology is characterized by: The intelligent monitoring module also includes a log recording and storage module, an interface and integration module, and a configuration and management module.

4. According to claim 3, a fire single-person duty assistant based on Ai technology is characterized by: The intelligent scheduling module includes a task receiving and analyzing module, a resource management and allocation module, a path planning and navigation module, a scheduling strategy formulation and execution module, a real-time monitoring and adjustment module, and a communication and coordination module.

5. The fire-fighting single-person duty assistant based on Ai technology according to claim 4 is characterized by: The intelligent scheduling module also includes a log recording and analysis module.

6. The fire-fighting single-person duty assistant based on Ai technology according to claim 5 is characterized by: The remote assistance module includes a communication connection module, a screen sharing module, a remote control module and a voice and video call module.

7. The fire-fighting single-person duty assistant based on Ai technology according to claim 6 is characterized by: The remote assistance module also includes a file transfer module, a session management module, a security authentication module and a log recording and reporting module.

8. The fire-fighting single-person duty assistant based on Ai technology according to claim 7 is characterized by: The data analysis and reporting module includes a data collection module, a data preprocessing module, a data analysis module, a data visualization module, a report generation module and a report formulation and optimization module.

9. The fire-fighting single-person duty assistant based on Ai technology according to claim 8 is characterized by: The data analysis and reporting module also includes a rights management and security module and a log recording and auditing module.

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