CN112489359A - Abnormal event early warning system for smart community - Google Patents
Abnormal event early warning system for smart community Download PDFInfo
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- CN112489359A CN112489359A CN202011424979.7A CN202011424979A CN112489359A CN 112489359 A CN112489359 A CN 112489359A CN 202011424979 A CN202011424979 A CN 202011424979A CN 112489359 A CN112489359 A CN 112489359A
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B19/00—Alarms responsive to two or more different undesired or abnormal conditions, e.g. burglary and fire, abnormal temperature and abnormal rate of flow
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B25/00—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems
- G08B25/01—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium
- G08B25/08—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium using communication transmission lines
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B25/00—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems
- G08B25/12—Manually actuated calamity alarm transmitting arrangements emergency non-personal manually actuated alarm, activators, e.g. details of alarm push buttons mounted on an infrastructure
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B3/00—Audible signalling systems; Audible personal calling systems
- G08B3/10—Audible signalling systems; Audible personal calling systems using electric transmission; using electromagnetic transmission
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B7/00—Signalling systems according to more than one of groups G08B3/00 - G08B6/00; Personal calling systems according to more than one of groups G08B3/00 - G08B6/00
- G08B7/06—Signalling systems according to more than one of groups G08B3/00 - G08B6/00; Personal calling systems according to more than one of groups G08B3/00 - G08B6/00 using electric transmission, e.g. involving audible and visible signalling through the use of sound and light sources
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Abstract
The invention discloses an abnormal event early warning system for an intelligent community. In the invention, the output end of the data transmission module is connected with the input end of the behavior analysis module, the output end of the manual alarm switch is connected with the input end of the ringing alarm, the output end of the ringing alarm is connected with the input end of the wireless transmission module, and the power supply output end of the power supply module is connected with the input end of the main processor module; the output end of the main processor module is connected with the input end of the information sending module; the human body behavior module and the AI learning framework module which are defined in the behavior analysis module can identify and predict the human body behavior at the installation position through the camera module, so that the possible dangerous behavior can be predicted in advance, the occurrence of dangerous situations is avoided, and the safety of the system is improved; the manual alarm switch is matched with the ringing alarm, so that the alarm can be manually given out when a dangerous case occurs, and a warning effect is achieved.
Description
Technical Field
The invention belongs to the technical field of community management, and particularly relates to an abnormal event early warning system for an intelligent community.
Background
The intelligent community is a comprehensive community working platform APP which is created by using information technologies such as internet, cloud computing and big data and takes community leading as guidance. From the aspects of community propaganda and education, organization and life, supervision and assessment, daily office work, big data analysis and the like, a one-stop intelligent community integral solution from design, construction to landing is provided for public institutions and enterprise groups, and therefore early warning and prevention are often needed for abnormal events.
However, in a common early warning system, the intelligent observation is carried out manually, which can lead to the observation being possibly not timely enough, thereby easily causing safety accidents, and meanwhile, when an emergency happens, the early warning system can not carry out manual alarm, thus leading to the poor early warning efficiency.
Disclosure of Invention
The invention aims to: in order to solve the problems, an abnormal event early warning system for an intelligent community is provided.
The technical scheme adopted by the invention is as follows: an abnormal event early warning system facing to a smart community comprises a main processor module, a behavior analysis module, a power supply module, an information sending module, a community receiving terminal, a display terminal, a man-machine interaction module, a camera module, a data transmission module, a manual alarm switch, a ring alarm, a wireless transmission module, an abnormal information recording module, an alarm receiving terminal, a telephone calling module, a human trunk behavior identification module, a defined human behavior module and an AI learning architecture module, wherein the behavior analysis module and the wireless transmission module are fixedly installed on an internal data interface of the main processor module, the output end of the camera module is connected with the input end of the data transmission module, the output end of the data transmission module is connected with the input end of the behavior analysis module, the output end of the manual alarm switch is connected with the input end of the ring alarm, the output end of the ringing alarm is connected with the input end of the wireless transmission module, and the power supply output end of the power supply module is connected with the input end of the main processor module;
the output end of the main processor module is connected with the input end of the information sending module, the output end of the information sending module is connected with the input end of the abnormal information recording module, the output end of the information sending module is connected with the input ends of the community receiving terminal and the alarm receiving terminal, the output end of the community receiving terminal is connected with the input end of the display terminal, the output end of the display terminal is connected with the input end of the man-machine interaction module, and the output end of the alarm receiving terminal is connected with the input end of the telephone calling module
In a preferred embodiment, the output end of the behavior analysis module is fixedly installed inside the human body trunk behavior recognition module, and the input ends of the human body trunk behavior recognition module, the human body behavior definition module and the AI learning framework module are connected to the output end of the behavior analysis module.
In a preferred embodiment, a 3D behavior recognition technology module is arranged inside the human body trunk behavior recognition module, the 3D behavior recognition technology utilizes riemann geometry and deep learning algorithm, uses a large number of parallel computations based on a GPU, performs three-dimensional space reduction on an observed real world with millimeter-level precision, accurately separates an environment, an object and a person, and realizes real-time observation and understanding; the technique can segment people into independent bodies in a 3D space, and according to the bone structure, the 3D facial characteristics and other characteristics, such as: the posture and muscle movement characteristics of the posture are accurately tracked and recognized, and active defense early warning and real-time warning based on events and semantics are realized; in addition, the technology can also carry out non-contact measurement on biological characteristics such as body temperature, heartbeat, respiration, weight and the like of the identification target, so that high-precision identification and prejudgment on individual behaviors and group behaviors are ensured in multiple dimensions.
In a preferred embodiment, the human body behavior module body identification framework is used for setting alarm rules for customized behaviors such as fighting, robbery, crowding and the like to identify, and accurately identifying human body related information in an image; and finding out a dynamic target of a main human precaution object in a static or dynamic scene, converting the body action language into structured data, and alarming according to a set alarm rule.
In a preferred embodiment, a telephone dialing machine is arranged inside the alarm receiving terminal, and when the alarm receiving terminal receives the alarm information, the alarm receiving terminal controls the telephone calling module to send an alarm signal.
In a preferred embodiment, the abnormal event confirmation lamp of the manual alarm switch is directly lighted 3-5 seconds after the alarm button is manually pressed, and the lamp in such a state indicates that the fire alarm controller has confirmed the reception of the abnormal event signal and confirmed the location of the scene; and after receiving the alarm, the community receiving terminal is used as a control room on-duty personnel to go to the site to confirm the fire condition at the first time.
In a preferred embodiment, the manual alarm switch controller is in an automatic working state, and the audible and visual alarm, the fire-fighting broadcast, the fire-proof roller shutter, the smoke-proof system and other equipment are operated; instead of the power failure of fire-fighting equipment and facilities, after a fire is found, manual alarming needs to be directly carried out through a manual alarming switch arranged in a corridor or a stair opening and the like; after the fire disaster is confirmed manually, the protective cover of the fire disaster alarm device is broken, the key is pressed down, on one hand, the on-site alarm device acts, on the other hand, a manual signal can be sent to the alarm devices of all areas, and a fire disaster alarm is sent out; the emergency degree of the manual alarm button is more urgent than that of the detector alarm, and basically, confirmation is not needed, so that the requirement of the manual alarm button is more reliable and definite relatively, and the requirement of dealing with fire is quicker.
In a preferred embodiment, a mechanical hard disk data storage device is fixedly installed inside the abnormal information recording module, and when an abnormal event is detected inside the main processor module, the main processor module transmits information transmitted from the camera module and the manual alarm switch to the inside of the abnormal information recording module for recording, so as to facilitate the next retrieval.
In summary, due to the adoption of the technical scheme, the invention has the beneficial effects that:
1. in the invention, the human body behavior module and the AI learning framework module which are defined in the behavior analysis module can identify and predict the human body behavior at the installation position through the camera module, so that the possibly dangerous behavior can be predicted in advance, the occurrence of dangerous situations is avoided, and the safety of the system is improved.
2. According to the alarm device, the manual alarm switch is matched with the ringing alarm, so that when a dangerous case occurs, an alarm can be manually given, the ringing alarm can simultaneously give out alarm sound to play a warning role, the self-early-warning convenience of people is improved, and meanwhile, the abnormal information recording module can also record data of various abnormalities, so that the subsequent investigation and the taking are facilitated.
Drawings
FIG. 1 is a block diagram of the system of the present invention;
FIG. 2 is a block diagram of a behavior analysis module system according to the present invention.
The labels in the figure are: 1-a main processor module, 2-a behavior analysis module, 3-a power supply module, 4-an information sending module, 5-a community receiving terminal, 6-a display terminal, 7-a man-machine interaction module, 8-a camera module, 9-a data transmission module, 10-a manual alarm switch, 11-a ring alarm, 12-a wireless transmission module, 13-an abnormal information recording module, 14-an alarm receiving terminal, 15-a telephone calling module, 16-a human trunk behavior identification module, 17-a defined human behavior module and 18-an AI learning architecture module.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
With reference to figures 1-2 of the drawings,
an abnormal event early warning system facing a smart community comprises a main processor module 1, a behavior analysis module 2, a power supply module 3, an information sending module 4, a community receiving terminal 5, a display terminal 6, a man-machine interaction module 7, a camera module 8, a data transmission module 9, a manual alarm switch 10, a ring alarm 11, a wireless transmission module 12, an abnormal information recording module 13, an alarm receiving terminal 14, a telephone calling module 15, a human trunk behavior recognition module 16, a defined human behavior module 17, an AI learning framework module 18, a behavior analysis module 2 and a wireless transmission module 12 are fixedly installed at an internal data interface of the main processor module 1, an output end of the behavior analysis module 2 is connected with a human trunk behavior recognition module 16, a 3D behavior recognition technology module is arranged inside the human trunk behavior recognition module 16, the 3D behavior recognition technology utilizes Riemann geometry and a deep learning algorithm, using a large amount of parallel calculation based on GPU to perform three-dimensional space reduction on the observed real world with millimeter-scale precision, accurately separating environment, objects and figures, and realizing real-time observation and understanding; the technique can segment the population into independent human bodies in a 3D space, and according to the Skeleton Skeleton structure, 3D facial features and other characteristics, such as: the posture and muscle movement characteristics of the posture are accurately tracked and recognized, and active defense early warning and real-time warning based on events and semantics are realized; in addition, the technology can also carry out non-contact measurement on biological characteristics of the recognition target, such as body temperature, heartbeat, respiration, weight and the like, so that high-precision recognition and prejudgment on individual behaviors and group behaviors are ensured in multiple dimensions; input ends of a human behavior defining module 17 and an AI learning framework module 18; a human body behavior module 17 is defined to set alarm rules for customized behaviors such as fighting, robbery, crowding and the like, so as to accurately identify human body related information in the image; finding out a dynamic target of a main human precaution object in a static or dynamic scene, converting the body action language into structured data, and alarming according to a set alarm rule; the output end of the camera module 8 is connected with the input end of a data transmission module 9, the output end of the data transmission module 9 is connected with the input end of a behavior analysis module 2, the output end of a manual alarm switch 10 is connected with the input end of a ringing alarm 11, 3-5 seconds after an alarm button is manually pressed down by the manual alarm switch 10, an abnormal event confirmation lamp on the manual alarm switch 10 can be directly lightened, a controller of the manual alarm switch 10 is in an automatic working state, and devices such as an audible and visual alarm, a fire-fighting broadcast, a fire-proof roller shutter, a smoke-proof system and the like are operated; instead of the power failure of fire-fighting equipment and facilities, after a fire is found, manual alarming needs to be directly carried out through a manual alarming switch arranged in a corridor or a stair opening and the like; after the fire disaster is confirmed manually, the protective cover of the fire disaster alarm device is broken, the key is pressed down, on one hand, the on-site alarm device acts, on the other hand, a manual signal can be sent to the alarm devices of all areas, and a fire disaster alarm is sent out; the emergency degree of the manual alarm button is more emergency than that of the detector alarm, and basically, the manual alarm button does not need to be confirmed, so that the requirement of the manual alarm button is more reliable and definite relatively, and the requirement of dealing with fire is quicker; and the lamp in such a state indicates that the fire alarm controller has confirmed the receipt of the abnormal event signal and confirmed the location of the scene; after receiving the alarm, the community receiving terminal 5, as a control room attendant, goes to the site to confirm the fire condition as the first time that the attendant should do; the output end of the ringing alarm 11 is connected with the input end of the wireless transmission module 12, and the power supply output end of the power supply module 3 is connected with the input end of the main processor module 1;
the output end of the main processor module 1 is connected with the input end of the information sending module 4, the output end of the information sending module 4 is connected with the input end of the abnormal information recording module 13, a mechanical hard disk data storage device is fixedly installed in the abnormal information recording module 13, and when an abnormal event is detected in the main processor module 1, the main processor module 1 transmits information transmitted from the interior of the camera module 8 and the interior of the manual alarm switch 10 to the interior of the abnormal information recording module 13 for recording so as to be convenient for the next retrieval; the output end of the information sending module 4 is connected with the input ends of a community receiving terminal 5 and an alarm receiving terminal 14, the output end of the community receiving terminal 5 is connected with the input end of a display terminal 6, the output end of the display terminal 6 is connected with the input end of a man-machine interaction module 7, and the output end of the alarm receiving terminal 14 is connected with the input end of a telephone calling module 15; the alarm receiving terminal 14 is provided with a telephone dialing machine inside, and when the alarm information received inside the alarm receiving terminal 14 is yes, the alarm receiving terminal 14 controls the telephone calling module 15 to send out an alarm signal.
The present invention is not limited to the above preferred embodiments, and any modifications, equivalent substitutions and improvements made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (8)
1. Unusual incident early warning system towards wisdom community, including total processor module (1), behavior analysis module (2), power module (3), information transmission module (4), community receiving terminal (5), display terminal (6), man-machine interaction module (7), camera module (8), data transmission module (9), manual alarm switch (10), ring alarm (11), wireless transmission module (12), abnormal information record module (13), warning receiving terminal (14), phone call module (15), human trunk behavior identification module (16), define human behavior module (17), AI study architecture module (18), its characterized in that: the behavior analysis module (2) and the wireless transmission module (12) are fixedly installed on an internal data interface of the main processor module (1), the output end of the camera module (8) is connected with the input end of the data transmission module (9), the output end of the data transmission module (9) is connected with the input end of the behavior analysis module (2), the output end of the manual alarm switch (10) is connected with the input end of the ringing alarm (11), the output end of the ringing alarm (11) is connected with the input end of the wireless transmission module (12), and the power supply output end of the power supply module (3) is connected with the input end of the main processor module (1);
the output of total processor module (1) is connected with the input of information sending module (4), the output of information sending module (4) is connected with the input of abnormal information record module (13), the output of information sending module (4) is connected with community receiving terminal (5) with the input of warning receiving terminal (14), the output of community receiving terminal (5) is connected with the input of display terminal (6), the output of display terminal (6) is connected with the input of human-computer interaction module (7), the output of warning receiving terminal (14) is connected with the input of phone call module (15).
2. The intelligent community-oriented abnormal event early warning system as claimed in claim 1, wherein: the internal fixed mounting of behavior analysis module (2) has identification module (16), define human behavior module (17) and AI study framework module (18), the output of behavior analysis module (2) is connected with human trunk behavior identification module (16), define human behavior module (17) and the input of AI study framework module (18).
3. The intelligent community-oriented abnormal event early warning system as claimed in claim 1, wherein: a 3D behavior recognition technology module is arranged inside the human body trunk behavior recognition module (16), the 3D behavior recognition technology utilizes Riemann geometry and deep learning algorithm, a large amount of parallel calculation based on GPU is used, three-dimensional space reduction is carried out on the observed real world with millimeter-level precision, the environment, the object and the figure are accurately separated, and real-time observation and understanding are realized; the technique enables the segmentation of a population into independent bodies in 3D space, based on skeletal (skeeleton) constructs, 3D facial features and other features-such as: the posture and muscle movement characteristics of the posture are accurately tracked and recognized, and active defense early warning and real-time warning based on events and semantics are realized; in addition, the technology can also carry out non-contact measurement on biological characteristics such as body temperature, heartbeat, respiration, weight and the like of the identification target, so that high-precision identification and prejudgment on individual behaviors and group behaviors are ensured in multiple dimensions.
4. The intelligent community-oriented abnormal event early warning system as claimed in claim 1, wherein: the body identification framework of the human body behavior defining module (17) is used for setting alarm rules for self-defining behaviors such as fighting, robbery, crowding and the like to identify, and accurately identifying human body related information in the image; and finding out a dynamic target of a main human precaution object in a static or dynamic scene, converting the body action language into structured data, and alarming according to a set alarm rule.
5. The intelligent community-oriented abnormal event early warning system as claimed in claim 1, wherein: the alarm receiving terminal (14) is internally provided with a telephone dial, and when the alarm receiving terminal (14) receives alarm information, the alarm receiving terminal (14) controls the telephone calling module (15) to send an alarm signal.
6. The intelligent community-oriented abnormal event early warning system as claimed in claim 1, wherein: 3-5 seconds after the alarm button is manually pressed down, an abnormal event confirmation lamp on the manual alarm switch (10) is directly lightened, and the lamp in the state indicates that the fire alarm controller confirms that the abnormal event signal is received and confirms the position of the scene; and after receiving the alarm, the community receiving terminal (5) is used as the control room on-duty personnel to go to the site to confirm the fire situation at the first time.
7. The intelligent community-oriented abnormal event early warning system as claimed in claim 1, wherein: the manual alarm switch (10) is in an automatic working state, and the audible and visual alarm, the fire-fighting broadcast, the fire-proof roller shutter, the smoke-proof system and other equipment are operated; instead of the power failure of fire-fighting equipment and facilities, after a fire is found, manual alarming needs to be directly carried out through a manual alarming switch arranged in a corridor or a stair opening and the like; after the fire disaster is confirmed manually, the protective cover of the fire disaster alarm device is broken, the key is pressed down, on one hand, the on-site alarm device acts, on the other hand, a manual signal can be sent to the alarm devices of all areas, and a fire disaster alarm is sent out; the emergency degree of the manual alarm button is more urgent than that of the detector alarm, and basically, confirmation is not needed, so that the requirement of the manual alarm button is more reliable and definite relatively, and the requirement of dealing with fire is quicker.
8. The intelligent community-oriented abnormal event early warning system as claimed in claim 1, wherein: and a mechanical hard disk data storage device is fixedly installed in the abnormal information recording module (13), and when an abnormal event is detected in the main processor module (1), the main processor module (1) transmits information transmitted from the camera module (8) and the manual alarm switch (10) to the inside of the abnormal information recording module (13) for recording so as to be read next time.
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