CN110853313A - Intelligent early warning system - Google Patents
Intelligent early warning system Download PDFInfo
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- CN110853313A CN110853313A CN201911121888.3A CN201911121888A CN110853313A CN 110853313 A CN110853313 A CN 110853313A CN 201911121888 A CN201911121888 A CN 201911121888A CN 110853313 A CN110853313 A CN 110853313A
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- early warning
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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
- G08B25/009—Signalling of the alarm condition to a substation whose identity is signalled to a central station, e.g. relaying alarm signals in order to extend communication range
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B31/00—Predictive alarm systems characterised by extrapolation or other computation using updated historic data
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Abstract
The invention discloses an intelligent early warning system, which comprises an alarm information collector, an early warning information processor, a household router, a receiving terminal, peripheral routers and an intelligent learning platform, wherein the alarm information collector is connected with the early warning information processor; the alarm information collector is used for collecting various information needing early warning; the early warning information processor is used for grading the received warning information by combining with an internal preset grading rule and writing the graded label into the graded information and then transmitting the graded label to the household router; the home router is used for transmitting the information sent by the early warning information processor to the receiving terminal and the peripheral router capable of searching the signal; the peripheral router is used for relaying and transmitting the early warning information received by the peripheral router; the intelligent learning platform is used for storing and analyzing early warning information in combination with an AI learning algorithm. The system can realize cross-user and cross-family propagation, is compatible with various monitoring terminals, and has an automatic learning function.
Description
Technical Field
The invention relates to an early warning system, in particular to an intelligent early warning system which can realize cross-user and cross-family transmission of early warning information, is compatible with various monitoring terminals and has an automatic learning function.
Background
In the prior art, the early warning system has various types and different functions, is used for forest fire prevention, public security management, health management and the like. The inventor of this patent application discovers through the investigation to the early warning system in residential district is taken as an example, along with intelligent house and intelligent monitoring's rising, all can install video monitoring, smoke transducer, gas in a lot of families in a district and reveal various early warning systems such as sensor, door and window sensor. However, most of these systems are independent, for example, the early warning information detected by each smoke sensor of the house is only transmitted within the range of the house, and only transmitted to the receiver matched with the smoke sensor, or broadcast in a small range through voice. The pre-warning system can not well exert the due functions in urban residential districts with highly concentrated people, because dangerous situations occur in many times, the loss is not only the user provided with the sensor but also the surrounding neighbors, and obviously, if the pre-warning system can broadcast pre-warning information to more people around more quickly, the loss of the surrounding neighbors can be avoided more effectively.
Meanwhile, the inventor of the patent application also finds that the existing early warning system is only used for simply acquiring and transmitting information, information cannot be intelligently analyzed and classified, and an intelligent program is insufficient.
In combination with the background, an intelligent early warning system which can realize cross-user and cross-family propagation, is compatible with various monitoring terminals and has an automatic learning function is lacking at present.
Disclosure of Invention
The invention aims to solve the technical problem of providing an intelligent early warning system which can realize cross-user and cross-family transmission of early warning information, is compatible with various monitoring terminals and has an automatic learning function.
In order to solve the technical problems, the technical scheme provided by the invention is as follows: an intelligent early warning system comprises an alarm information collector, an early warning information processor, a household router, a receiving terminal, a peripheral router and an intelligent learning platform; the alarm information collector is in signal connection with the early warning information processor; the early warning information processor is in signal connection with the household router; the household router is in signal connection with the receiving terminal; the household router is connected with the peripheral routers through wifi signals; the intelligent learning platform is in signal connection with the early warning information processor; the alarm information collector is used for collecting various information needing to be early-warned; the early warning information processor is used for grading the received warning information by combining with an internal preset grading rule and writing the graded warning information into a grading label and then transmitting the graded warning information to the home router; the home router is used for transmitting the information sent by the early warning information processor to the receiving terminal and the peripheral router capable of searching the signal; the peripheral router is used for relaying and transmitting the early warning information received by the peripheral router; the intelligent learning platform is used for storing and analyzing early warning information in combination with an AI learning algorithm.
Preferably, the alarm information collector is a single alarm, or an information collection network formed by freely combining a plurality of alarms and monitors; comprises a smoke alarm, a gas leakage alarm, a door and window alarm, a mobile detection alarm, an old people health monitor, a children information monitor and a water leakage monitor.
Preferably, the preset grading rule in the warning information processor is as follows: defining alarm information related to life safety as first-level information; alarm information which does not relate to life safety but is related to property loss is defined as secondary information; other information is defined as tertiary information.
Preferably, the early warning information processor and the household router are of an integrated structure; the early warning information processor is connected with each alarm information collector in a zigbee, wifi, Bluetooth or wired connection mode.
Preferably, the household router is connected with the receiving terminal through the Internet or wifi signals; the receiving terminal comprises a smart phone, a tablet personal computer, a voice alarm, a smart watch and a smart bracelet.
Preferably, the household router and the peripheral routers are respectively provided with a communication module specially used among the routers, the communication modules are connected with an independent switch, and a user can realize on-off control of signal connection with other routers through a control switch.
Preferably, the intelligent learning platform is an AI platform connected with a cloud server, the algorithm of the AI platform comprises the steps of carrying out statistics and classification according to historical information of alarm signals sent by peripheral routers, marking the routers sending more original alarm signals, and detecting the distance of the marked routers and information of terminals such as mobile phones connected with the marked routers by combining a wifi probe technology to realize prejudgment of the positions of the routers sending more original alarm signals.
Preferably, wifi account numbers of all networked routers in the system are preset as doorplate information corresponding to the installation user.
Preferably, all the networked routers in the system are provided with voice broadcasters for broadcasting the information content directly after receiving the early warning information.
After adopting the structure, the invention has the following beneficial effects: the invention discloses a method for realizing information sharing between an early warning unit in each family and routers of neighboring families through a router of the family, when one family detects an alarm signal, the family receives the alarm signal, meanwhile, the router installed in the family transmits the signal to the router in a wifi signal coverage range according to a preset transmission rule, and after other routers receive the alarm, the other routers can transmit the alarm signal to receiving terminals connected with the router in time, so that each user on the receiving terminal receives the information and takes related actions in time, for example, an alarm information collector of one family collects the alarm signal of a smoke alarm, immediately sends out fire early warning to the router, neighboring families of the family can synchronously receive the early warning through the router, and at the moment, neighbors have enough time to deal with the alarm, thereby avoiding loss. The intelligent learning platform can automatically classify and analyze alarm information, and can automatically correct the reporting level and predict the reporting level by combining the actual dangerous case condition after alarming, so that the functions are more diversified.
In the preferred item, wifi account numbers of all networked routers in the system are preset as doorplate information corresponding to installation users, the design can help users in a cell to quickly locate the positions of residents with dangerous case early warning, and when the residents are not at home, the residents can be contacted through a telephone, or the dangerous cases can be accurately eliminated in the modes of alarming, property calling and the like.
In the preferred item, all the networked routers in the system are provided with voice broadcast devices for directly broadcasting the information content after receiving the early warning information. The design can directly and intuitively notify the early warning information to the family where the router is located, and the propagation efficiency is higher.
In conclusion, the patent provides an intelligent early warning system which can realize cross-user and cross-family propagation of early warning information, is compatible with various monitoring terminals and has an automatic learning function.
Drawings
Fig. 1 is a schematic structural diagram of an intelligent early warning system in the invention.
As shown in the figure: 1. alarm information collector, 2, early warning information processor, 3, domestic router, 4, receiving terminal, 5, peripheral router, 6, intelligent learning platform.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings.
With reference to fig. 1, an intelligent early warning system comprises an alarm information collector 1, an early warning information processor 2, a home router 3, a receiving terminal 4, a peripheral router 5 and an intelligent learning platform 6; the alarm information collector 1 is in signal connection with the early warning information processor 2; the early warning information processor 2 is in signal connection with the household router 3; the household router 3 is in signal connection with the receiving terminal 4; the household router 3 is connected with the peripheral router 5 through wifi signals; the intelligent learning platform 6 is in signal connection with the early warning information processor 2; the alarm information collector 1 is used for collecting various information needing early warning; the early warning information processor 2 is used for grading the received warning information by combining with an internal preset grading rule, writing the graded warning information into a grading label and transmitting the grading label to the home router 3; the home router 3 is used for transmitting the information sent by the early warning information processor 2 to the receiving terminal 4 and the peripheral router 5 which can search the signal; the peripheral router 5 is used for relaying and transmitting the early warning information received by the peripheral router; the intelligent learning platform 6 is used for storing and analyzing early warning information by combining with an AI learning algorithm.
Preferably, the alarm information collector 1 is a single alarm, or an information collection network formed by freely combining a plurality of alarms and monitors; comprises a smoke alarm, a gas leakage alarm, a door and window alarm, a mobile detection alarm, an old people health monitor, a children information monitor and a water leakage monitor.
Preferably, the classification rule preset in the warning information processor 2 is: defining alarm information related to life safety as first-level information; alarm information which does not relate to life safety but is related to property loss is defined as secondary information; other information is defined as tertiary information.
Preferably, the early warning information processor 2 and the home router 3 are in an integrated structure; the early warning information processor 2 is connected with each alarm information collector 1 in a zigbee, wifi, bluetooth or wired connection mode.
Preferably, the home router 3 is connected with the receiving terminal 4 through the internet or wifi signals; receiving terminal 4 include smart mobile phone, panel computer, audible alarm ware, intelligent wrist-watch and intelligent bracelet.
Preferably, the home router 3 and the peripheral router 5 are respectively provided with a communication module dedicated for communication between the routers, the communication modules are connected with an independent switch, and a user can realize on-off control of signal connection with other routers through a control switch.
Preferably, the intelligent learning platform 6 is an AI platform connected with a cloud server, the algorithm of the AI platform includes counting and grading according to history information of alarm signals sent by peripheral routers, marking the routers sending more original alarm signals, and detecting the distance of the marked routers and information of terminals such as mobile phones connected with the marked routers by combining a wifi probe technology, so as to realize prejudgment of the positions of the routers sending more original alarm signals.
Preferably, wifi account numbers of all networked routers in the system are preset as doorplate information corresponding to the installation user.
Preferably, all the networked routers in the system are provided with voice broadcasters for broadcasting the information content directly after receiving the early warning information.
After adopting the structure, the invention has the following beneficial effects: the invention discloses a method for realizing information sharing between an early warning unit in each family and routers of neighboring families through a router of the family, when one family detects an alarm signal, the family receives the alarm signal, meanwhile, the router installed in the family transmits the signal to the router in a wifi signal coverage range according to a preset transmission rule, and after other routers receive the alarm, the other routers can transmit the alarm signal to receiving terminals connected with the router in time, so that each user on the receiving terminal receives the information and takes related actions in time, for example, an alarm information collector of one family collects the alarm signal of a smoke alarm, immediately sends out fire early warning to the router, neighboring families of the family can synchronously receive the early warning through the router, and at the moment, neighbors have enough time to deal with the alarm, thereby avoiding loss. The intelligent learning platform 6 can automatically classify and analyze alarm information, and can automatically correct reporting levels and predict according to actual dangerous situations after alarming, so that the functions are more diversified.
In the preferred item, wifi account numbers of all networked routers in the system are preset as doorplate information corresponding to installation users, the design can help users in a cell to quickly locate the positions of residents with dangerous case early warning, and when the residents are not at home, the residents can be contacted through a telephone, or the dangerous cases can be accurately eliminated in the modes of alarming, property calling and the like.
In the preferred item, all the networked routers in the system are provided with voice broadcast devices for directly broadcasting the information content after receiving the early warning information. The design can directly and intuitively notify the early warning information to the family where the router is located, and the propagation efficiency is higher.
In conclusion, the patent provides an intelligent early warning system which can realize cross-user and cross-family propagation of early warning information, is compatible with various monitoring terminals and has an automatic learning function.
During specific implementation, a special early warning management system APP can be installed on the receiving terminal, and the function can also be directly carried on a management APP or a micro-signal public number and other software platforms of the existing router. The development of the software platform can be realized by entrusting a third-party software development company by combining the functional requirements described in the patent application at present, and the core to be protected by the patent application is a hardware structure and a data processing mode for interconnection and sharing of early warning information and intelligent data analysis of routers in the early warning system.
The present invention and its embodiments have been described above, and the description is not intended to be limiting, and the drawings are only one embodiment of the present invention, and the actual configuration is not limited thereto. In summary, those skilled in the art should appreciate that they can readily use the disclosed conception and specific embodiments as a basis for designing or modifying other structures for carrying out the same purposes of the present invention without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (9)
1. An intelligent early warning system which characterized in that: the system comprises an alarm information collector (1), an early warning information processor (2), a household router (3), a receiving terminal (4), a peripheral router (5) and an intelligent learning platform (6); the alarm information collector (1) is in signal connection with the early warning information processor (2); the early warning information processor (2) is in signal connection with the household router (3); the household router (3) is in signal connection with the receiving terminal (4); the household router (3) is connected with the peripheral routers (5) through wifi signals; the intelligent learning platform (6) is in signal connection with the early warning information processor (2); the alarm information collector (1) is used for collecting various information needing early warning; the early warning information processor (2) is used for grading the received warning information by combining with an internal preset grading rule, writing the graded warning information into a grading label and transmitting the grading label to the household router (3); the home router (3) is used for transmitting the information sent by the early warning information processor (2) to the receiving terminal (4) and the peripheral router (5) capable of searching the signal; the peripheral router (5) is used for relaying and transmitting the early warning information received by the peripheral router; the intelligent learning platform (6) is used for storing and analyzing early warning information in combination with an AI learning algorithm.
2. The intelligent early warning system of claim 1, wherein: the alarm information collector (1) is a single alarm, or an information collection network formed by freely combining a plurality of alarms and monitors; comprises a smoke alarm, a gas leakage alarm, a door and window alarm, a mobile detection alarm, an old people health monitor, a children information monitor and a water leakage monitor.
3. The intelligent early warning system of claim 1, wherein: the preset grading rule in the early warning information processor (2) is as follows: defining alarm information related to life safety as first-level information; alarm information which does not relate to life safety but is related to property loss is defined as secondary information; other information is defined as tertiary information.
4. The intelligent early warning system of claim 1, wherein: the early warning information processor (2) and the household router (3) are of an integrated structure; the early warning information processor (2) is connected with each alarm information collector (1) in a zigbee, wifi, Bluetooth or wired connection mode.
5. The intelligent early warning system of claim 1, wherein: the household router (3) is connected with the receiving terminal (4) through the Internet or wifi signals; receiving terminal (4) include smart mobile phone, panel computer, audible alarm ware, intelligent wrist-watch and intelligent bracelet.
6. The intelligent early warning system of claim 1, wherein: the household router (3) and the peripheral routers (5) are respectively provided with a communication module special for the communication between the routers, the communication modules are connected with independent switches, and a user can realize on-off control of signal connection between the household router and other routers through the control switches.
7. The intelligent early warning system of claim 1, wherein: the intelligent learning platform (6) is an AI platform connected with a cloud server, the algorithm of the AI platform comprises the steps of carrying out statistics and classification according to historical information of alarm signals sent by peripheral routers, marking the routers sending more original alarm signals, and detecting the distance of the marked routers and information of terminals such as mobile phones connected with the marked routers by combining a wifi probe technology to realize prejudgment of the positions of the routers sending more original alarm signals.
8. The intelligent early warning system of claim 1, wherein: wifi account numbers of all networked routers in the system are preset as doorplate information corresponding to installation users.
9. The intelligent early warning system of claim 1, wherein: and voice broadcast devices are installed on all the networked routers in the system and used for directly broadcasting the information content after receiving the early warning information.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911121888.3A CN110853313A (en) | 2019-11-15 | 2019-11-15 | Intelligent early warning system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911121888.3A CN110853313A (en) | 2019-11-15 | 2019-11-15 | Intelligent early warning system |
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| Publication Number | Publication Date |
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| CN110853313A true CN110853313A (en) | 2020-02-28 |
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| Application Number | Title | Priority Date | Filing Date |
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| CN201911121888.3A Withdrawn CN110853313A (en) | 2019-11-15 | 2019-11-15 | Intelligent early warning system |
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| CN (1) | CN110853313A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113433920A (en) * | 2021-08-30 | 2021-09-24 | 深圳百胜扬工业电子商务平台发展有限公司 | Real-time data monitoring method and system |
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| US20140321706A1 (en) * | 2006-05-15 | 2014-10-30 | Checkvideo Llc | Automated, remotely-verified alarm system with intrusion and video surveillance and digitial video recording |
| CN202454029U (en) * | 2011-12-19 | 2012-09-26 | 孙翊文 | Intelligent location voice alarming device of high-rise fire hazards |
| CN202889652U (en) * | 2012-09-27 | 2013-04-17 | 淮南师范学院 | Fire hazard grading early warning network system router based on wireless sensor network |
| CN203433625U (en) * | 2013-08-15 | 2014-02-12 | 哈尔滨师范大学 | Novel household fire alarm device |
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| Publication number | Priority date | Publication date | Assignee | Title |
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Application publication date: 20200228 |