CN115376257A - Method and system for autonomously identifying living body invasion - Google Patents
Method and system for autonomously identifying living body invasion Download PDFInfo
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- CN115376257A CN115376257A CN202210994308.7A CN202210994308A CN115376257A CN 115376257 A CN115376257 A CN 115376257A CN 202210994308 A CN202210994308 A CN 202210994308A CN 115376257 A CN115376257 A CN 115376257A
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- 230000009545 invasion Effects 0.000 title claims abstract description 30
- 238000000034 method Methods 0.000 title claims abstract description 16
- 238000012544 monitoring process Methods 0.000 claims abstract description 63
- 238000004891 communication Methods 0.000 claims abstract description 13
- 238000005516 engineering process Methods 0.000 claims abstract description 6
- 230000004913 activation Effects 0.000 claims description 7
- 238000001514 detection method Methods 0.000 claims description 6
- 230000002567 autonomic effect Effects 0.000 claims description 3
- 238000007689 inspection Methods 0.000 abstract description 2
- 230000002457 bidirectional effect Effects 0.000 description 3
- 238000010586 diagram Methods 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000001727 in vivo Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B13/00—Burglar, theft or intruder alarms
- G08B13/18—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength
- G08B13/189—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems
- G08B13/1895—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using light change detection systems
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B13/00—Burglar, theft or intruder alarms
- G08B13/18—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength
- G08B13/189—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems
- G08B13/194—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems
- G08B13/196—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems using television cameras
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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
- G08B25/10—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 wireless transmission systems
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
- H04N7/181—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a plurality of remote sources
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- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
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- Computer Networks & Wireless Communication (AREA)
- Business, Economics & Management (AREA)
- Emergency Management (AREA)
- Alarm Systems (AREA)
Abstract
The invention discloses a method and a system for autonomously identifying living body invasion, wherein the method comprises the following steps: s1, a plurality of monitoring nodes are dispersedly arranged in a signal range of a main control terminal; s2, the master control terminal controls each monitoring node to send out visible light signals; s3, each monitoring node analyzes the fluctuation of the visible light signal sent by the monitoring node in real time and judges whether a living body invades in the visible light signal range or not; s4, if living body invasion exists, the corresponding monitoring node controls the camera to start camera shooting monitoring; and S5, the master control terminal sends the monitoring picture of the corresponding monitoring node to the user terminal through an NB-IOT low-rate narrow-band Internet of things communication technology, and the user is reminded in an alarm mode. The invention realizes the autonomous recognition of the living body invasion through the visible light technology, can send information to the user terminal to remind the user when the living body invasion occurs, is suitable for industrial inspection, and can greatly improve the industrial safety.
Description
Technical Field
The invention relates to the field of industrial inspection, in particular to a method and a system for autonomously identifying living body invasion.
Background
Along with the security precaution demand that industry was patrolled and examined is becoming urgent day by day, traditional security protection system is through installing the camera in every corner, masters the invasion condition through real time monitoring picture of making a video recording, and when the user not at the control picture moment, if take place the invasion, then can't in time discover the invasion condition.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provide a method and a system for automatically identifying the invasion of a living body.
The technical scheme of the invention is as follows:
provided is a method for autonomously recognizing invasion of a living body, including the steps of:
s1, a plurality of monitoring nodes are dispersedly arranged in a signal range of a main control terminal;
s2, the master control terminal controls each monitoring node to send out a visible light signal;
s3, each monitoring node analyzes the fluctuation of the visible light signal sent by the monitoring node in real time and judges whether a living body invades in the range of the visible light signal;
s4, if living body invasion exists, the corresponding monitoring node controls the camera to start camera shooting monitoring;
and S5, the master control terminal sends the monitoring picture of the corresponding monitoring node to the user terminal through an NB-IOT low-rate narrow-band Internet of things communication technology, and the user is reminded in an alarm mode.
In step S1, the master control terminal is connected with each monitoring node through wireless communication.
In step S1, each monitoring node is set in a different space.
The visible light signals of the monitoring nodes cover the space.
In step S3, if the visible light signal sent by the monitoring node is in a steady state, there is no living body intrusion in the visible light signal range of the monitoring node, and if the visible light signal sent by the monitoring node fluctuates significantly, there is living body intrusion in the visible light signal range of the monitoring node.
In step S4, the camera adopts an infrared camera, and the invaded living body is visually tracked through the infrared camera.
In step S5, the user terminal is provided with an APP for automatically identifying living body invasion.
The system comprises a main control terminal and a plurality of node terminals, wherein the node terminals are arranged in a dispersed mode, each node terminal is arranged in different spaces, the main control terminal comprises an NB-IOT chip, a WIFI module and a memory, the WIFI module is provided with a network interface, the NB-IOT chip is in wireless connection with the node terminals through the WIFI module, the memory is in bidirectional connection with the NB-IOT chip, each node terminal comprises a processor, a signal light source, a visible light signal acquisition module, an infrared camera and a wireless communication module, the signal light source and the wireless communication module are respectively connected with a signal output end of the processor, the visible light signal acquisition module is connected with a signal input end of the processor, the infrared camera is in bidirectional connection with the processor, the main control terminal supplies power through a first power supply circuit, and each node terminal supplies power through a second power supply circuit.
Furthermore, first power supply circuit includes first battery and first power supply management module, first battery is connected with main control terminal through first power supply management module, first battery can insert the commercial power and charge.
Furthermore, the second power supply circuit comprises a second storage battery, a second power supply management module and a sleep activation detection module, the second storage battery is connected with the node terminal through the second power supply management module, the second storage battery can be connected with a mains supply for charging, and the sleep activation detection module is connected with the second power supply management module so that the node terminal is activated only when working and is in a sleep state at ordinary times.
Compared with the prior art, the invention has the beneficial effects that: the monitoring nodes sense whether living bodies invade in the monitoring area through a visible light technology, if the living bodies invade are sensed, the corresponding infrared camera is controlled to visually track the invaded living bodies, and meanwhile, a monitoring picture is sent to the user terminal to remind a user in an alarm mode. In addition, the mode that the NB-IOT chip and the NB-IOT base station are adopted by the main control terminal to replace the mode that the traditional gateway equipment and the base station are added, because the NB-IOT chip is arranged on the terminal of a monitoring field and does not need to be arranged independently, and the size of the NB-IoT chip is far smaller than that of the gateway equipment, the occupied space is reduced, meanwhile, compared with the gateway equipment, the design of the NB-IoT chip greatly reduces the power consumption, and the problem that the gateway equipment is easy to make mistakes due to the fact that software and hardware have 2 fault inlets of the MCU and the communication module is also avoided.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed for the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.
FIG. 1 is a schematic connection diagram of an autonomous identification living body invasion system provided by the invention
FIG. 2 is a block diagram of an autonomous in-vivo intrusion identification system according to the present invention;
fig. 3 is an application scenario diagram of an autonomous living body invasion identification system according to the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be described in further detail 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 do not limit the invention.
In order to illustrate the technical means of the present invention, the following description is given by way of specific examples.
Examples
Referring to fig. 1 to 3, the embodiment provides an autonomous living body intrusion recognition system, the system is connected to a user terminal sequentially through an NB-IOT base station and a server, a mode of an NB-IOT chip and an NB-IOT base station can replace a mode of a conventional gateway device and a base station, a NB-IOT chip is deployed on a terminal of a monitoring site, independent deployment is not needed, and the size of the NB-IOT chip is much smaller than that of the gateway device, so that the occupied space is reduced. Specifically, the autonomous recognition living body invasion system comprises a main control terminal and a plurality of node terminals, wherein the node terminals are arranged in a scattered manner, so that each node terminal is arranged in different spaces. The main control terminal comprises an NB-IOT chip, a WIFI module and a memory, the WIFI module is provided with a network interface, the NB-IOT chip is in wireless connection with a plurality of node terminals through the WIFI module, the memory is in bidirectional connection with the NB-IOT chip, the memory can be used for storing monitoring cameras, the main control terminal supplies power through a first power supply circuit, the first power supply circuit comprises a first storage battery and a first power supply management module, the first storage battery is connected with the main control terminal through the first power supply management module, and the first storage battery can be connected with a mains supply for charging; the node terminal comprises a processor 1, a signal light source 2, a visible light signal acquisition module 3, an infrared camera 4 and a wireless communication module, wherein the signal light source 2 and the wireless communication module are respectively connected with a signal output end of the processor 1, the visible light signal acquisition module 3 is connected with a signal input end of the processor 1, the infrared camera 4 is bidirectionally connected with the processor 1, the signal light source 2 is used for sending visible light signals, the visible light signal acquisition module 3 is used for acquiring the visible light signals to the processor 1 for analysis, the infrared camera 4 can realize visual tracking, each node terminal is powered by a second power supply circuit, the second power supply circuit comprises a second storage battery, a second power supply management module and a sleep activation detection module, the second storage battery is connected with the node terminal through the second power supply management module, the second storage battery can be accessed to commercial power for charging, the sleep activation detection module is connected with the second power supply management module, so that the node terminal is activated and is in a sleep state at ordinary times, the activation mode can be timed according to user time periods when a user goes out to monitor work.
The self-identification living body invasion method of the system comprises the following steps:
s1, dispersedly arranging a plurality of monitoring nodes in a wireless signal range of a master control terminal, wherein each monitoring node is arranged in different spaces, and visible light signals of each monitoring node cover the space;
s2, the master control terminal controls each monitoring node to send out visible light signals;
s3, each monitoring node analyzes the fluctuation of the visible light signal sent by the monitoring node in real time and judges whether a living body invades in the visible light signal range or not;
if the visible light signals sent by the monitoring nodes are in a stable state, living body invasion does not exist in the visible light signal range of the monitoring nodes, and if the visible light signals sent by the monitoring nodes are obviously fluctuated, the living body invasion exists in the visible light signal range of the monitoring nodes;
s4, if living bodies invade, the corresponding monitoring node controls the infrared camera 4 to start camera monitoring, and the invaded living bodies are tracked through vision;
s5, the master control terminal sends the monitoring picture of the corresponding monitoring node to the user terminal through an NB-IOT low-rate narrow-band Internet of things communication technology, and reminds a user in an alarm mode;
wherein, user terminal installs autonomic discernment live body and invades APP, invades APP through this autonomic discernment live body and receives alarm information.
Through set up a plurality of monitoring nodes in the spatial region of difference, a plurality of monitoring nodes are controlled by a main control terminal, and the WIFI LAN can be generated to main control terminal, inserts a plurality of monitoring nodes in its signal range, and monitoring node has realized independently discerning the live body invasion through visible light technique, can in time send information to user terminal when the live body invades and remind the user, is applicable to the industry and patrols and examines, can improve industrial safety nature greatly.
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 (10)
1. A method of autonomously identifying an intrusion into a living body, comprising the steps of:
s1, a plurality of monitoring nodes are dispersedly arranged in a signal range of a main control terminal;
s2, the master control terminal controls each monitoring node to send out a visible light signal;
s3, each monitoring node analyzes the fluctuation of the visible light signal sent by the monitoring node in real time and judges whether a living body invades in the visible light signal range or not;
s4, if living body invasion exists, the corresponding monitoring node controls the camera to start camera shooting monitoring;
and S5, the master control terminal sends the monitoring picture of the corresponding monitoring node to the user terminal through an NB-IOT low-rate narrow-band Internet of things communication technology, and the user is reminded in an alarm mode.
2. The method for autonomously identifying living body invasion according to claim 1, wherein in step S1, the master control terminal is connected with each monitoring node through wireless communication.
3. The method for autonomously identifying an invasion of a living body according to claim 1, wherein in step S1, each monitoring node is disposed in a different space.
4. The method of claim 3, wherein the visible light signal of each monitoring node covers the space.
5. The method as claimed in claim 1, wherein in step S3, if the visible light signal emitted from the monitoring node is in a steady state, there is no living body invasion in the visible light signal range of the monitoring node, and if the visible light signal emitted from the monitoring node fluctuates significantly, there is living body invasion in the visible light signal range of the monitoring node.
6. The method for autonomously identifying invasion of living bodies according to claim 1, wherein in step S4, the camera adopts an infrared camera, and the invaded living body is visually tracked by the infrared camera.
7. The method for autonomously identifying living body invasion according to claim 1, wherein in step S5, the user terminal is installed with an autonomous identification living body invasion APP.
8. The utility model provides an autonomic discernment live body invasion system, its characterized in that, this system loops through NB-IOT basic station and server and is connected with user terminal, and it includes main control terminal and a plurality of node terminal, and a plurality of node terminal scatter sets up, makes every node terminal set up in different spaces, main control terminal includes NB-IOT chip, WIFI module and memory, the WIFI module is equipped with network interface, NB-IOT chip passes through WIFI module and a plurality of node terminal wireless connection, memory and NB-IOT chip both way junction, the node terminal includes treater, signal light source, visible light signal acquisition module, infrared camera and wireless communication module, signal light source, wireless communication module are connected with the signal output part of treater respectively, visible light signal acquisition module is connected with the signal input part of treater, infrared camera and treater both way junction, main control terminal supplies power through first power supply circuit, and every node terminal supplies power through the second power supply circuit.
9. The system of claim 8, wherein the first power supply circuit comprises a first storage battery and a first power supply management module, the first storage battery is connected with the main control terminal through the first power supply management module, and the first storage battery can be charged by accessing commercial power.
10. The system of claim 8, wherein the second power supply circuit comprises a second storage battery, a second power supply management module, and a sleep activation detection module, the second storage battery is connected to the node terminal through the second power supply management module, the second storage battery is connectable to the commercial power for charging, and the sleep activation detection module is connected to the second power supply management module, so that the node terminal is activated only during operation and is in a sleep state at ordinary times.
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| CN202210994308.7A CN115376257A (en) | 2022-08-17 | 2022-08-17 | Method and system for autonomously identifying living body invasion |
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| CN202210994308.7A CN115376257A (en) | 2022-08-17 | 2022-08-17 | Method and system for autonomously identifying living body invasion |
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| CN109785562A (en) * | 2018-12-29 | 2019-05-21 | 华中光电技术研究所（中国船舶重工集团有限公司第七一七研究所） | A kind of vertical photoelectricity ground based threats warning system and suspicious object recognition methods |
| CN109872483A (en) * | 2019-02-22 | 2019-06-11 | 华中光电技术研究所（中国船舶重工集团有限公司第七一七研究所） | A kind of invasion warning photoelectric monitoring system and method |
| CN211403551U (en) * | 2019-12-16 | 2020-09-01 | 联通物联网有限责任公司 | Intrusion monitoring device and system |
-
2022
- 2022-08-17 CN CN202210994308.7A patent/CN115376257A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106448009A (en) * | 2016-11-07 | 2017-02-22 | 上海锂居信息科技有限公司 | Perimeter intrusion detection system and method |
| CN108665656A (en) * | 2018-05-21 | 2018-10-16 | 安徽国电京润电力科技有限公司 | A kind of power station intrusion preventing alarm system |
| CN109785562A (en) * | 2018-12-29 | 2019-05-21 | 华中光电技术研究所（中国船舶重工集团有限公司第七一七研究所） | A kind of vertical photoelectricity ground based threats warning system and suspicious object recognition methods |
| CN109872483A (en) * | 2019-02-22 | 2019-06-11 | 华中光电技术研究所（中国船舶重工集团有限公司第七一七研究所） | A kind of invasion warning photoelectric monitoring system and method |
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Effective date of registration: 20221220 Address after: 310015 Room 4301, Building 2, No. 2008 and 2010, Jinchang Road, Liangzhu Street, Yuhang District, Hangzhou City, Zhejiang Province Applicant after: Hangzhou Guoxun Robot Technology Co.,Ltd. Applicant after: Guangzhou Guoxun Robot Technology Co.,Ltd. Address before: 310015 Room 4301, Building 2, No. 2008 and 2010, Jinchang Road, Liangzhu Street, Yuhang District, Hangzhou City, Zhejiang Province Applicant before: Hangzhou Guoxun Robot Technology Co.,Ltd. |