Alarm and elimination linkage AISS alarm and elimination emergency safety ecological operation system

Abstract

The invention discloses an alarm and elimination linkage AISS alarm and elimination emergency safety ecological operation system. The system comprises a multi-mode sensing unit, a command terminal, an AI analysis unit and a scheduling docking unit. The multi-modal sensing unit comprises a laser radar point cloud acquisition module, a multispectral thermal imaging module, an alarm monitoring module and an alarm information identification module; the AI analysis unit comprises a multi-source data fusion unit and a decision core, and the multi-source data fusion unit performs space-time alignment on acquired data, extracts data features and generates a feature result based on the data features; the command terminal is also in communication connection with a police terminal and a fire-fighting terminal, and the dispatching docking unit realizes cross-department resource allocation. Compared with the prior art, the alarm and elimination linkage AISS alarm and elimination emergency safety ecological operation system has the advantages that multi-source data communication can be conveniently carried out, and fire protection aiming at ecological safety is met.

Description

Technical Field

[0001] The present invention relates to the field of ecological operation safety protection technology, specifically to an AISS police and fire emergency safety ecological operation system linked to police and fire. Background Art

[0002] my country has a vast territory and rich forest resources. However, due to the influence of climate, topography and human factors, my country is also a country where forest fires occur frequently.

[0003] At present, for the sake of ecological security, fire monitoring stations are often set up. However, most of the monitoring stations rely on personnel monitoring, which makes it difficult to ensure the monitoring effect, and the information transmission is blocked, which makes it difficult to miss the opportunity of fire safety protection. Summary of the Invention

[0004] The technical problem to be solved by the present invention is to overcome the above technical defects and provide an AISS police-fire emergency safety ecological operation system that facilitates multi-source data communication and meets the fire protection requirements for ecological safety.

[0005] To solve the above technical problems, the present invention provides a technical solution: a police-fire linkage AISS police-fire emergency safety ecological operation system, including a multimodal perception unit, a command terminal, an AI analysis unit, and a dispatch docking unit;

[0006] The multimodal perception unit includes a lidar point cloud acquisition module, a multispectral thermal imaging module, an alarm monitoring module, and an alarm information recognition module;

[0007] The AI ​​analysis unit includes a multi-source data fusion unit and a decision core. The multi-source data fusion unit performs spatiotemporal alignment on the collected data, extracts data features, and generates feature results based on the data features.

[0008] The command terminal is also communicatively connected to the police terminal and the fire terminal, and the dispatch docking unit realizes cross-departmental resource allocation.

[0009] Preferably, the multimodal perception unit further includes an equipment quality inspection module, which performs fatigue detection on police and firefighting equipment and outputs the detection results.

[0010] Preferably, the decision-making core includes a dynamic risk assessment model and a plan generation model;

[0011] The dynamic risk assessment model generates a prediction of the evolution of events and assesses the risk level, and the emergency plan generation model generates a protection plan based on the risk level;

[0012] The command terminal receives the risk level and the protection plan, and the management personnel outputs a decision instruction based on the risk level and the protection plan.

[0013] Preferably, the alarm information recognition module includes a voiceprint recognition array with a detection range of 0 to 120 dB.

[0014] Preferably, the plan generation model is connected to the AI ​​language big model, and an auxiliary plan is generated based on the risk level output to the AI ​​language big model.

[0015] Preferably, the command terminal is also provided with a visual interface, which displays the risk level, protection plan, monitoring information of the multimodal perception unit and docking information of the scheduling docking unit.

[0016] Preferably, the equipment quality inspection module also includes a UWB positioning unit installed on the police and fire equipment.

[0017] Preferably, it also includes a data storage module integrated in the command terminal, and the data storage module stores historical event data and AI sample parameter sets.

[0018] The advantages of the present invention compared with the prior art are:

[0019] In this invention, fire safety monitoring is carried out based on multimodal data perception, and multi-source data is integrated to output monitoring results to ensure fire safety. The additional quality inspection module can detect fatigue and is equipped with a UWB positioning unit to facilitate tracking and management. The command terminal cooperates with the dispatch docking unit to realize cross-departmental resource allocation and efficient collaboration, completing the construction of a barrier for ecological warning and fire emergency safety.

[0020] This invention is based on AI technology and a closed-loop chain of intelligent emergency safety solution modules, with artificial intelligence, the Internet of Things, and big data technologies as the core, to build an intelligent security protection network covering cities, forests and other scenarios, providing a full-chain technology solution for modern urban governance and natural ecological protection. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 It is a structural diagram of the AISS police and fire emergency safety ecological operation system. DETAILED DESCRIPTION

[0022] The present invention will be described in further detail below with reference to the accompanying drawings.

[0023] Combined with attachment Figure 1 As shown in the figure, the AISS police and fire emergency safety ecological operation system includes a multimodal perception unit, a command terminal, an AI analysis unit, and a dispatch docking unit.

[0024] In specific use, the multimodal perception unit includes a lidar point cloud acquisition module, a multispectral thermal imaging module, an alarm monitoring module, and an alarm information recognition module. The alarm information recognition module includes a deployed voiceprint recognition array with a detection range of 0 to 120dB. The AI ​​analysis unit includes a multi-source data fusion unit and a decision-making core. The multi-source data fusion unit aligns the collected data in time and space, extracts data features, and generates feature results based on the data features. The command terminal is also connected to the police end and the fire end, and the dispatch docking unit realizes cross-departmental resource allocation.

[0025] In the specific implementation of the present invention, the multimodal perception unit also includes an equipment quality inspection module, which performs fatigue detection on police and fire equipment and outputs the detection results. The equipment quality inspection module also includes a UWB positioning unit installed on the police and fire equipment, which can perform equipment position detection during use to improve the monitoring process.

[0026] The decision-making core includes a dynamic risk assessment model and a plan generation model; the dynamic risk assessment model generates a prediction of the evolution of the situation and assesses the risk level, and the plan generation model generates a protection plan based on the risk level; the command terminal receives the risk level and protection plan, and the management personnel output decision instructions based on the risk level and protection plan, and the plan generation model is connected to the AI ​​language large model;

[0027] To facilitate command and use, the command terminal also has a visual interface that displays risk levels, protection plans, monitoring information from the multimodal sensing unit, and docking information from the dispatch docking unit.

[0028] It also includes a data storage module integrated in the command terminal, which stores historical event data and AI sample parameter sets.

[0029] When used in the present invention, the multimodal perception unit, command terminal, AI analysis unit, dispatch docking unit and other related equipment are started in sequence. The laser radar point cloud acquisition module scans the surrounding environment and obtains three-dimensional spatial point cloud data for building models such as on-site terrain and obstacle distribution. The multispectral thermal imaging module works under different lighting conditions to collect thermal radiation information of target objects and identify abnormal heat sources such as fire hazards. The equipment quality inspection module performs fatigue detection on police and firefighting equipment, and uses the UWB positioning unit installed on the equipment to detect the equipment position in real time.

[0030] The multi-source data fusion unit performs spatiotemporal alignment of the data collected by the multimodal sensing unit, extracting data features and generating feature results to inform subsequent decision-making. The dynamic risk assessment model at the core of decision-making generates event evolution predictions based on the fused data. The emergency plan generation model generates protection plans based on risk levels and connects with the AI ​​language model to optimize the plan content.

[0031] The dispatch docking unit realizes cross-departmental resource allocation according to the instructions of the command terminal, coordinates the human and material resources of police, fire and other departments, and ensures the efficient implementation of emergency rescue work.

[0032] The data storage module integrated in the command terminal stores historical event data, AI sample parameter sets, etc., providing data support for system learning and optimization.

[0033] Deep integration of artificial intelligence (AI) analysis, intelligent Internet of Things (IoT), and big data can break down the barriers of data silos between systems and achieve efficient interoperability, intelligent interconnection, and sharing of cross-system data. Extensive access, connection, and monitoring with multiple devices improve the level of management process and enhance the timeliness and efficiency of data processing, thereby significantly improving the accuracy, judgment, coordination, and overall prevention and control capabilities of emergency safety warnings.

[0034] It has realized intelligent patrol monitoring (dynamic environmental perception), multimodal information collection (sound, image, and sensor data), AI decision-making center (real-time risk calculation and solution generation), cross-departmental coordination and scheduling (intelligent allocation of emergency resources), and full-process rescue support (pre-warning - in-process response - post-event disposal).

[0035] The contents not described in detail in this specification belong to the prior art known to those skilled in the art.

[0036] In the present invention, unless otherwise expressly specified or limited, terms such as "mounted," "connected," "connect," and "fixed" should be understood broadly. For example, they may refer to fixed connection, detachable connection, or integration; they may refer to direct connection or indirect connection through an intermediate medium; they may refer to internal communication between two components or interaction between two components. Those skilled in the art will understand the specific meanings of the above terms in the present invention based on specific circumstances.

[0037] The present invention and its embodiments are described above. This description is not restrictive. The drawings show only one embodiment of the present invention, and the actual structure is not limited thereto. In short, if a person skilled in the art is inspired by this and, without departing from the purpose of the present invention, designs structures and embodiments similar to this technical solution without inventiveness, they shall fall within the scope of protection of the present invention.

Claims

1. The AISS police and fire emergency safety ecological operation system is characterized by: Includes multimodal perception unit, command terminal, AI analysis unit, and dispatch docking unit; The multimodal perception unit includes a lidar point cloud acquisition module, a multispectral thermal imaging module, an alarm monitoring module, and an alarm information recognition module; The AI ​​analysis unit includes a multi-source data fusion unit and a decision core. The multi-source data fusion unit performs spatiotemporal alignment on the collected data, extracts data features, and generates feature results based on the data features. The command terminal is also communicatively connected to the police terminal and the fire terminal, and the dispatch docking unit realizes cross-departmental resource allocation.

2. The AISS police-fire emergency safety ecological operation system according to claim 1 is characterized by: The multimodal perception unit also includes an equipment quality inspection module, which performs fatigue detection on police and firefighting equipment and outputs the detection results.

3. The AISS police-fire emergency safety ecological operation system according to claim 1 is characterized by: The decision-making core includes a dynamic risk assessment model and a plan generation model; The dynamic risk assessment model generates a prediction of the evolution of events and assesses the risk level, and the emergency plan generation model generates a protection plan based on the risk level; The command terminal receives the risk level and the protection plan, and the management personnel outputs a decision instruction based on the risk level and the protection plan.

4. The AISS police-fire emergency safety ecological operation system according to claim 1 is characterized by: The alarm information recognition module includes a voiceprint recognition array with a detection range of 0 to 120dB.

5. The AISS police-fire emergency safety ecological operation system according to claim 3 is characterized by: The plan generation model is connected to the AI ​​language large model.

6. The AISS police-fire emergency safety ecological operation system according to claim 3 is characterized by: The command terminal is also provided with a visual interface, which displays the risk level, protection plan, monitoring information of the multimodal perception unit and docking information of the scheduling docking unit.

7. The AISS police-fire emergency safety ecological operation system according to claim 2 is characterized by: The equipment quality inspection module also includes a UWB positioning unit installed on the police and fire equipment.

8. The AISS police-fire emergency safety ecological operation system according to claim 1 is characterized by: It also includes a data storage module integrated in the command terminal, which stores historical event data and AI sample parameter sets.

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