CN-121999572-A - AI intelligent positioning energy house alarm safety system

CN121999572ACN 121999572 ACN121999572 ACN 121999572ACN-121999572-A

Abstract

The invention relates to the technical field of artificial intelligence, in particular to an AI intelligent positioning energy house alarm safety system, which comprises an energy field distribution monitoring module, a physiological function association analysis module, an energy output matching optimization module, an alarm safety intervention module and an intelligent emergency blocking control module. According to the invention, by combining energy field distribution monitoring with real-time analysis of the physiological state of personnel, fine changes of the environment inside and outside a room can be effectively captured, so that the sensitivity and response speed of an alarm system are improved, potential safety risks can be found and identified in time through dynamic data processing and continuous monitoring, the false alarm rate is remarkably reduced, the physiological abnormal state can be accurately identified and associated analysis can be carried out with the environmental risks according to the mapping relation between the energy field changes and the physiological characteristics, more accurate prejudgment and intervention of personnel safety are realized, the accuracy and timeliness of alarm are ensured, the emergency response capability is enhanced, and the safety guarantee effect is optimized.

Inventors

CHEN LIMING
CHEN LIHENG
Li Chijiao

Assignees

汕尾美保智慧数字技术有限公司

Dates

Publication Date: 20260508
Application Date: 20260205

Claims (10)

1. An AI intelligent positioning energy house alarm security system, the system comprising: the energy field distribution monitoring module captures the variation amplitude and the spatial distribution frequency of the energy radiation intensity based on echo data acquired by an indoor deployed biological energy field scanning radar, analyzes the distribution evolution rule of the energy field by combining with personnel real-time positioning information, and acquires an energy radiation time-space evolution map; the physiological function association analysis module extracts physiological characteristics and energy field fluctuation mapping relation based on the energy radiation space-time evolution map, analyzes blood circulation parameter distribution characteristics, identifies physiological function adjustment key trigger points and constructs a physiological characteristics and energy field fluctuation association mapping analysis model; the energy output matching optimization module extracts a physiological function adjustment deviation value and energy output adjustment data based on the physiological characteristic and energy field fluctuation association mapping analysis model, compares physiological parameter change and energy field distribution characteristics, and obtains an energy house running state recognition result through physiological parameter deviation and energy; And the alarm safety intervention module analyzes the influence of the physiological abnormal state on safety based on the identification result of the running state of the energy room, extracts the distribution change of the energy field and the fluctuation adjustment data of the physiological index, corrects the safety alarm structure and obtains a safety alarm threshold correction list guided by the physiological abnormality.
2. The AI intelligent positioning energy house alarm safety system as set forth in claim 1, wherein the energy radiation space-time evolution map comprises an energy radiation intensity, a spatial distribution frequency and an energy fluctuation time sequence, the physiological characteristic and energy field fluctuation association mapping analysis model comprises a physiological characteristic variation amount, an energy field mapping relation and a physiological adjustment key trigger point, the energy house operation state identification result comprises a physiological function adjustment deviation value, energy output adjustment data and a physiological parameter and energy field distribution matching relation, and the physiological abnormality-oriented safety alarm threshold correction list comprises an energy field distribution variation data, a physiological index fluctuation adjustment data and an early warning threshold structure adjustment data.
3. The AI intelligent positioning energy house alarm security system as set forth in claim 1 wherein said energy field distribution monitoring module comprises: the energy intensity capturing submodule captures the energy radiation intensity change amplitude and frequency in the differentiated time period based on echo data acquired by the indoor deployed biological energy field scanning radar, and counts the energy field fluctuation condition according to a preset period to obtain an energy field intensity change trend data set; The space positioning analysis sub-module analyzes the distribution rule of the energy field in the differentiated coordinate area based on the energy field intensity change trend data set through the space corresponding relation between the space coordinates and the energy intensity acquired by the indoor personnel positioning unit, extracts the space distribution characteristic data of the energy field and analyzes the time distribution covered by the energy to obtain an energy field space distribution data set; And the distribution rule recognition sub-module is used for analyzing the dynamic relation between the position movement of personnel and the fluctuation of the energy field based on the energy field space distribution data set, and recognizing the evolution rule of the energy field by combining the change trend of the intensity of the energy field to acquire the time-space evolution map of the energy radiation.
4. The AI intelligent positioning energy house alarm security system of claim 3 wherein said physiological function association analysis module comprises: The physiological characteristic extraction submodule is used for extracting blood pressure fluctuation, blood velocity and microcirculation flow velocity characteristics of personnel under the differential energy intensity based on the energy radiation space-time evolution map, monitoring the relevance of physiological parameter distribution and energy field fluctuation, and carrying out node analysis on physiological indexes to obtain a physiological characteristic distribution data set; The function matching analysis submodule is used for analyzing the matching degree of the physiological index change and the energy field intensity based on the physiological characteristic distribution data set and combining the physiological parameter fluctuation characteristic, and identifying the linear and nonlinear relation between the microcirculation improvement degree and the energy field distribution to obtain a physiological function and energy field matching result; the intervention model construction submodule analyzes the regulation influence of energy output on human body circulation based on the physiological function and energy field matching result and combines the physiological characteristic variation and the energy field intensity variation trend to obtain a physiological characteristic and energy field fluctuation association mapping analysis model.
5. The AI intelligent positioning energy house alarm security system as set forth in claim 4 wherein said energy output match optimization module comprises: the physiological deviation analysis submodule extracts a physiological function adjustment deviation value based on the physiological characteristic and energy field fluctuation association mapping analysis model, analyzes the range and frequency of physiological parameter fluctuation, and identifies the occurrence rule of blood pressure and microcirculation abnormality fluctuation to obtain the physiological function adjustment deviation value; The output demand matching submodule is used for identifying an unbalanced state of energy field distribution and obtaining energy output matching data by combining energy output characteristics and physiological distribution data and comparing matching situations of physiological demands and energy output based on the physiological function adjustment deviation value; And the running state optimizing submodule adjusts the running state identifying parameters of the energy room based on the energy output matching data, compares the matching degree of the physiological function adjusting deviation and the energy field distribution, and obtains the running state identifying result of the energy room.
6. The AI intelligent positioning energy house alarm security system of claim 5 wherein said alarm security intervention module comprises: The risk level analysis sub-module extracts energy field distribution change data based on the identification result of the running state of the energy room, analyzes the range of the physiological index deviating from a preset safety interval, monitors the real-time influence of the energy field on the physiological function, identifies the risk level change trend and obtains a physiological risk assessment result; The intervention strategy adjustment submodule collects physiological index fluctuation adjustment data based on the physiological risk assessment result, analyzes change feedback of physiological parameters before and after adjustment of the energy field, identifies adjustment trend of intervention measures and obtains an intervention strategy adjustment data set; And the alarm structure correction submodule adjusts the safety alarm structure based on the intervention strategy adjustment data set, corrects the matching relation between the output intensity of the energy field and the physiological index early warning threshold value, optimizes alarm triggering logic and obtains a safety alarm threshold value correction list guided by physiological abnormality.
7. The AI intelligent positioning energy house alarm safety system as set forth in claim 6, wherein said energy field distribution change data is data of energy radiation intensity evolution with time of a target space coordinate point in the energy house; The physiological index fluctuation adjustment data refers to data generated by association of human blood pressure, blood oxygen and microcirculation parameters along with energy output change in the intervention process of an energy field; The safety alarm structure refers to a multistage alarm triggering frame established based on abnormal physiological parameters and out-of-control states of energy fields.
8. The AI intelligent positioning energy house alarm security system as set forth in claim 1 wherein the system further comprises an intelligent emergency block control module: The intelligent emergency blocking control module extracts energy cutting time sequence and region isolation parameters after risk triggering according to the overlapping condition of the real-time space coordinates of personnel and the high-intensity region of the energy field based on the safety alarm threshold correction list of the physiological abnormality guide, and constructs a physiological crisis emergency blocking control strategy of positioning linkage.
9. The AI intelligent positioning energy house alarm security system of claim 8 wherein said positioning linked physiological crisis emergency block control strategy comprises a risk instantaneous block time, energy field spatial decay data, and a positioning zone isolation sequence.
10. The AI intelligent location energy house alarm security system as set forth in claim 8 wherein the intelligent emergency block control module comprises: The blocking response time sequence planning submodule adjusts the execution priority of the energy output emergency stop based on the safety alarm threshold correction list guided by the physiological abnormality, evaluates the matching relation between the cutting-off speed of the energy field and the physiological limit tolerance time, analyzes the influence of the blocking sequence on the safety rescue of personnel, optimizes the multi-point position control logic and obtains the emergency blocking response time sequence logic of the regional positioning; The energy degradation regulation and control analysis submodule analyzes the relation between the energy field exceeding intensity of each positioning node and the physiological safety recovery time based on the emergency blocking response time sequence logic of the regional positioning, and identifies the change trend of energy field attenuation or isolation to obtain the energy degradation safety regulation and control parameters of the space nodes; the control strategy construction submodule adjusts an emergency cut-off trigger threshold value and an area safety isolation proportion based on the energy degradation safety regulation parameters of the space nodes, extracts risk instantaneous cut-off time and energy field space attenuation data, and constructs a positioning linkage physiological crisis emergency cut-off control strategy.

Description

AI intelligent positioning energy house alarm safety system Technical Field The invention relates to the technical field of artificial intelligence, in particular to an AI intelligent positioning energy house alarm safety system. Background The technical field of artificial intelligence relates to various applications and developments of artificial intelligence, including a plurality of sub-fields such as machine learning, deep learning, computer vision, natural language processing and the like, the core matters of the artificial intelligence technology comprise solving the actual problem by simulating human intelligent behaviors, and the artificial intelligence technology is widely applied to a plurality of fields such as automatic driving, intelligent home, medical health, financial analysis and the like depending on technical means such as big data processing, pattern recognition, intelligent decision and the like, and the technical development of the field promotes the improvement of automation and intelligent level, thereby bringing about many industry revolution and technical innovation. The system adopts a mode of combining an intelligent sensor and an AI algorithm to monitor and analyze the environment inside and outside the room, utilizes a positioning technology and an energy monitoring means to identify potential safety hazards, and the traditional safety alarm system relies on a static sensor to detect abnormal events such as fire, invasion and the like, but has the problems of insufficient sensitivity, untimely response, high false alarm rate and the like. The AI intelligent positioning energy house alarm safety carries out data processing and real-time analysis through an artificial intelligence technology, can effectively improve the accuracy and timeliness of alarm, simultaneously reduces the false alarm rate, and the system comprises an intelligent sensor, an AI algorithm and an alarm device, and can timely discover potential risks in a room and effectively respond through continuous monitoring of dynamic data. The prior art mainly relies on a static sensor to detect abnormal events in a room, and the sensor has the problems of insufficient sensitivity, untimely response, high false alarm rate and the like in actual operation, cannot monitor and analyze environmental changes inside and outside the room in real time, and particularly cannot accurately identify potential safety hazards under the condition of dynamic changes, so that the safety guarantee effect is influenced. In addition, the traditional system ignores the relation between the physiological state of the human body and the environmental change, lacks effective data processing and analysis means, and fails to dynamically adjust according to the actual demands of personnel, so that accurate and efficient safety intervention is difficult to realize, hysteresis exists when an alarm system is used for dealing with emergency safety events, and the emergency response capability and safety of the system are affected. Disclosure of Invention In order to solve the technical problems in the prior art, the embodiment of the invention provides an AI intelligent positioning energy house alarm safety system. The technical scheme is as follows: In one aspect, an AI intelligent positioning energy house alarm security system is provided, the system comprising: the energy field distribution monitoring module captures the variation amplitude and the spatial distribution frequency of the energy radiation intensity based on echo data acquired by an indoor deployed biological energy field scanning radar, analyzes the distribution evolution rule of the energy field by combining with personnel real-time positioning information, and acquires an energy radiation time-space evolution map; the physiological function association analysis module extracts physiological characteristics and energy field fluctuation mapping relation based on the energy radiation space-time evolution map, analyzes blood circulation parameter distribution characteristics, identifies physiological function adjustment key trigger points and constructs a physiological characteristics and energy field fluctuation association mapping analysis model; the energy output matching optimization module extracts a physiological function adjustment deviation value and energy output adjustment data based on the physiological characteristic and energy field fluctuation association mapping analysis model, compares physiological parameter change and energy field distribution characteristics, and obtains an energy house running state recognition result through physiological parameter deviation and energy; And the alarm safety intervention module analyzes the influence of the physiological abnormal state on safety based on the identification result of the running state of the energy room, extracts the distribution change of the energy field and the fluctuation adjustment data of the physiological ind