CN109861832B - Automatic switch type router - Google Patents
Automatic switch type router Download PDFInfo
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- CN109861832B CN109861832B CN201711239708.2A CN201711239708A CN109861832B CN 109861832 B CN109861832 B CN 109861832B CN 201711239708 A CN201711239708 A CN 201711239708A CN 109861832 B CN109861832 B CN 109861832B
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Abstract
The invention relates to an automatic switch type router, comprising: the static storage device is arranged on the integrated circuit board of the router and is used for pre-storing the master body figure pattern of the router; the automatic starting equipment is arranged on an integrated circuit board of the router and used for realizing automatic starting control of the router; the manual starting device is arranged on the shell of the router and used for realizing manual starting control on the router; wherein the turn-on control priority of the automatic turn-on device is higher than the turn-on control priority of the manual turn-on device. The invention can ensure the use authority of the router.
Description
Technical Field
The invention relates to the field of routers, in particular to an automatic switch type router.
Background
The term "route" refers to the act and action of transferring data from one location to another, and a Router, which is a machine that performs such an act, is a network device, known in english as Router, that connects multiple networks or network segments, and "translates" data information between different networks or network segments so that they can "read" each other's data to form a larger network.
In order to complete the "Routing" work, relevant data of various transmission paths, namely Routing tables (Routing tables), are stored in the router for use in Routing. The routing table stores the label information of the subnet, the number of routers on the network, the name of the next router, and the like. The routing table may be fixedly set by a router administrator, may be dynamically modified by the router, may be automatically adjusted by the router, or may be controlled by the host.
Two concepts of names related to addresses are involved in a router, that is: a static routing table and a dynamic routing table. The fixed routing table, called static (static) routing table, is set by the router administrator in advance, and is generally set in advance according to the configuration condition of the network when the router is installed, and the router does not change with the change of the network structure in the future. Dynamic (Dynamic) routing tables are routing tables that are automatically adjusted by routers based on the behavior of network routers. The router automatically learns and memorizes the network operation condition according to the function provided by the Routing Protocol (Routing Protocol), and automatically calculates the optimal path of data transmission when needed.
Disclosure of Invention
At present, the control of the router generally adopts a manual switch control mode, and meanwhile, anyone can control the manual switch to realize the switch control of the router instead of the special authorization of the owner, so that the security level of the router is not high. In order to solve the above problems, the present invention provides an automatic switch type router, which has at least the following two important points:
(1) a multilayer customized image processing device is constructed by adopting a self-adaptive smoothing device, an image sharpening device, an intensity analysis device and an image filtering device, and a good data base is opened for subsequent body shape identification;
(2) and driving whether the router owner is indoors or not based on the matching degree analysis of the image and the host body shape pattern, and accordingly determining whether to control the automatic starting device to automatically start the router or not, so that the intelligent level of the router is improved.
According to an aspect of the present invention, there is provided an auto-switching router, the router comprising:
the static storage device is arranged on the integrated circuit board of the router and is used for pre-storing the master body figure pattern of the router;
the automatic starting equipment is arranged on an integrated circuit board of the router and used for realizing automatic starting control of the router;
the manual starting device is arranged on the shell of the router and used for realizing manual starting control on the router;
wherein the start control priority of the automatic opening device is higher than the start control priority of the manual opening device;
the dot matrix camera equipment is used for carrying out indoor high-definition indoor image data acquisition facing indoors so as to obtain and output multi-frame high-definition indoor images which are continuous in time;
the timing equipment is arranged on the shell of the router and is used for providing various timing services;
the target analysis device is used for matching the image with the master body figure pattern to obtain a corresponding body shape matching degree, sending a master existence signal when the body shape matching degree is greater than or equal to a preset percentage threshold value, and sending a master outgoing signal when the body shape matching degree is smaller than the preset percentage threshold value;
and the IMX6 control chip is respectively connected with the target analysis device, the manual starting device and the automatic starting device and is used for controlling the automatic starting device to automatically close the router when receiving the host outgoing signal.
Drawings
Embodiments of the invention will now be described with reference to the accompanying drawings, in which:
fig. 1 is a block diagram illustrating the construction of an automatic switching router according to an embodiment of the present invention.
Detailed Description
Embodiments of the automatic switch router of the present invention will be described in detail below with reference to the accompanying drawings.
In order to overcome the defects, the invention builds an automatic switch type router, and the specific embodiment is as follows.
Fig. 1 is a block diagram illustrating the structure of an automatic switch type router according to an embodiment of the present invention, the router including:
the static storage device is arranged on the integrated circuit board of the router and is used for pre-storing the master body figure pattern of the router;
and the automatic starting equipment is arranged on the integrated circuit board of the router and is used for realizing automatic starting control of the router.
Next, a specific configuration of the automatic switching router of the present invention will be further described.
In the automatic switch router, further comprising:
and the manual starting device is arranged on the shell of the router and used for realizing manual starting control on the router.
In the automatically switched router:
the start control priority of the automatic opening device is higher than the start control priority of the manual opening device.
In the automatic switch router, further comprising:
the dot matrix camera equipment is used for carrying out indoor high-definition indoor image data acquisition facing indoors so as to obtain and output multi-frame high-definition indoor images which are continuous in time;
the timing equipment is arranged on the shell of the router and is used for providing various timing services;
the self-adaptive smoothing equipment is arranged on an integrated circuit board of the router, is connected with the dot matrix camera equipment, and is used for receiving continuous multiframe high-definition indoor images in time, matching the current high-definition indoor image with the previous high-definition indoor image to obtain an image overall jitter value, determining the number of image areas for averagely dividing the current high-definition indoor image based on the image overall jitter value, wherein the higher the image overall jitter value is, the more the number of the image areas for averagely dividing the current high-definition indoor image is, the more the image areas are, the smoothing processing based on image area random noise amplitude values is respectively executed on each image area to obtain each smooth area, the larger the image area random noise amplitude value is, the higher the smoothing processing strength is executed on the image area is, and each smooth area is combined to obtain a self-adaptive smooth image;
the intensity analysis device is connected with the self-adaptive smoothing device and used for receiving different intensities of each block output by the self-adaptive smoothing device, determining average intensity for performing interpolation processing on the high-definition indoor image based on each intensity of each block and outputting the average intensity;
the image sharpening device is respectively connected with the intensity analysis device and the adaptive smoothing device and is used for receiving the average intensity, determining the sharpening intensity of an image sharpening operation performed on the adaptive smoothed image based on the average intensity, realizing a corresponding sharpening operation on the adaptive smoothed image, and obtaining and outputting a sharpened processed image, wherein the average intensity is inversely proportional to the sharpening intensity;
the image filtering device is respectively connected with the intensity analysis device and the image sharpening device and is used for receiving the average intensity, determining the filtering intensity of an image filtering operation performed on the sharpened processed image based on the average intensity so as to realize a corresponding filtering operation on the sharpened processed image, and obtaining and outputting a filtered processed image, wherein the average intensity is inversely proportional to the filtering intensity;
the target analysis device is respectively connected with the image filtering device and the static storage device and is used for receiving the filtered image and the master body figure pattern, matching the filtered image with the master body figure pattern to obtain a corresponding body shape matching degree, sending a master existence signal when the body shape matching degree is greater than or equal to a preset percentage threshold value, and sending a master outgoing signal when the body shape matching degree is smaller than the preset percentage threshold value;
and the IMX6 control chip is respectively connected with the target analysis device, the manual starting device and the automatic starting device and is used for controlling the automatic starting device to automatically close the router when receiving the host outgoing signal.
In the automatically switched router:
the IMX6 control chip is further used for controlling the automatic opening device to automatically open the router when receiving the master existence signal.
In the automatically switched router:
alternatively, the IMX6 control chip is further connected to the timing device, and configured to control the automatic start device to automatically open the router when the master existence signal is received within a preset time interval.
And in the automatically switched router:
alternatively, the IMX6 control chip is further connected to the timing device, and configured to control the automatic opening device to automatically close the router when the owner existence signal is not received within a preset time interval.
In addition, the automatic switch type router may further include: and the smoke sensor is used for detecting whether smoke exists around the router in real time. Smoke sensors can be divided into ion type smoke sensors and photoelectric type smoke sensors, and the smoke sensors in the application adopt ion type smoke sensors.
The ion type smoke sensor adopts ion type smoke sensing in the ion type smoke sensor, is a sensor with advanced technology and stable and reliable work, is widely applied to various fire alarm routers, and has far better performance than a gas-sensitive resistor type fire alarm.
The photoelectric smoke sensor is internally provided with an optical maze, infrared geminate transistors are installed, infrared light emitted by the infrared emitting tube cannot be received by the infrared receiving tube when smoke and dust do not enter the optical maze, the infrared light is received by the receiving tube through refraction and reflection when the smoke and dust enter the optical maze, the intelligent alarm circuit judges whether the infrared light exceeds a threshold value, and if the infrared light exceeds the threshold value, an alarm is given.
The photoelectric smoke detector can be divided into a light reduction type and a scattered light type, and the light reduction type and the scattered light type are as follows: (1) a light-reducing photoelectric smoke detector is composed of a light emitting device and a light receiving device in the detecting chamber. Under normal conditions, the light receiving device receives a certain amount of light emitted by the light emitting device; when smoke exists, the light emitted by the light emitting device is shielded by the smoke, so that the light received by the light receiving device is reduced, the photocurrent is reduced, and the detector sends out an alarm signal. (2) The scattered light type photoelectric smoke detector has also light emitting device and light receiving device in the detection chamber. Under normal conditions, the light receiving device does not receive the light emitted from the light emitting device, and thus does not generate a photocurrent. When a fire disaster happens and smoke enters the detection chamber, the light emitted by the light emitting device is diffused under the action of smoke particles, the diffused light is received by the light receiving device, the impedance of the light receiving device is changed, and photocurrent is generated, so that the function of converting smoke signals into electric signals is realized, and the detector receives the signals and then judges whether an alarm signal needs to be sent out or not.
Comparing the two sensors, wherein the ion smoke alarm is sensitive to sensing tiny smoke particles and can respond to various kinds of smoke in a balanced manner; the forward photoelectric smoke alarm is sensitive to slightly larger smoke particles and has poor response to ash smoke and black smoke. When the bear is in a big fire, the smoke in the air has more tiny particles, and when the bear is smoldered, the smoke in the air has more bigger particles. If a fire occurs and a large amount of tiny particles of smoke are generated, the ion smoke alarm gives an alarm before the photoelectric smoke alarm. These two smoke alarms are not separated by a significant time interval, but the spread of such fires is extremely rapid and such locations suggest that it is preferable to install ionic smoke alarms. In another type of location, a lot of slightly larger smoke particles are generated after smoldering fire occurs, and a photoelectric smoke alarm gives an alarm before an ion smoke alarm, and the photoelectric smoke alarm is recommended to be installed in the location.
By adopting the automatic switch type router, aiming at the technical problem that the security mechanism of the router in the prior art is not sound, the multi-layer customized image processing equipment is constructed by adopting the self-adaptive smoothing equipment, the image sharpening equipment, the intensity analysis equipment and the image filtering equipment, so that a good data base is opened for subsequent body shape identification, and more importantly, whether a router owner is indoors is driven based on the matching degree analysis of the image and the body shape pattern of the router owner, and whether the router is automatically opened by controlling the automatic opening equipment is determined, so that the safety level of the router is improved.
It is to be understood that while the present invention has been described in conjunction with the preferred embodiments thereof, it is not intended to limit the invention to those embodiments. It will be apparent to those skilled in the art from this disclosure that many changes and modifications can be made, or equivalents modified, in the embodiments of the invention without departing from the scope of the invention. Therefore, any simple modification, equivalent change and modification made to the above embodiments according to the technical essence of the present invention are still within the scope of the protection of the technical solution of the present invention, unless the contents of the technical solution of the present invention are departed.
Claims (4)
1. An automatically switched router, the router comprising:
the static storage device is arranged on the integrated circuit board of the router and is used for pre-storing the master body figure pattern of the router;
the automatic starting equipment is arranged on an integrated circuit board of the router and used for realizing automatic starting control of the router;
the manual starting device is arranged on the shell of the router and used for realizing manual starting control on the router;
the starting control priority of the automatic starting device is higher than that of the manual starting device;
the dot matrix camera equipment is used for carrying out indoor high-definition indoor image data acquisition facing indoors so as to obtain and output multi-frame high-definition indoor images which are continuous in time;
the timing equipment is arranged on the shell of the router and is used for providing various timing services;
the self-adaptive smoothing equipment is arranged on an integrated circuit board of the router, is connected with the dot matrix camera equipment, and is used for receiving continuous multiframe high-definition indoor images in time, matching the current high-definition indoor image with the previous high-definition indoor image to obtain an image overall jitter value, determining the number of image areas for averagely dividing the current high-definition indoor image based on the image overall jitter value, wherein the higher the image overall jitter value is, the more the number of the image areas for averagely dividing the current high-definition indoor image is, the more the image areas are, the smoothing processing based on image area random noise amplitude values is respectively executed on each image area to obtain each smooth area, the larger the image area random noise amplitude value is, the higher the smoothing processing strength is executed on the image area is, and each smooth area is combined to obtain a self-adaptive smooth image;
the intensity analysis device is connected with the self-adaptive smoothing device and used for receiving different intensities of each block output by the self-adaptive smoothing device, determining average intensity for performing interpolation processing on the high-definition indoor image based on each intensity of each block and outputting the average intensity;
the image sharpening device is respectively connected with the intensity analysis device and the adaptive smoothing device and is used for receiving the average intensity, determining the sharpening intensity of an image sharpening operation performed on the adaptive smoothed image based on the average intensity, realizing a corresponding sharpening operation on the adaptive smoothed image, and obtaining and outputting a sharpened processed image, wherein the average intensity is inversely proportional to the sharpening intensity;
the image filtering device is respectively connected with the intensity analysis device and the image sharpening device and is used for receiving the average intensity, determining the filtering intensity of an image filtering operation performed on the sharpened processed image based on the average intensity so as to realize a corresponding filtering operation on the sharpened processed image, and obtaining and outputting a filtered processed image, wherein the average intensity is inversely proportional to the filtering intensity;
the target analysis device is respectively connected with the image filtering device and the static storage device and is used for receiving the filtered image and the master body figure pattern, matching the filtered image with the master body figure pattern to obtain a corresponding body shape matching degree, sending a master existence signal when the body shape matching degree is greater than or equal to a preset percentage threshold value, and sending a master outgoing signal when the body shape matching degree is smaller than the preset percentage threshold value;
and the IMX6 control chip is respectively connected with the target analysis device, the manual starting device and the automatic starting device and is used for controlling the automatic starting device to automatically close the router when receiving the host outgoing signal.
2. The automatically switched router of claim 1, wherein:
the IMX6 control chip is further used for controlling the automatic opening device to automatically open the router when receiving the master existence signal.
3. The automatically switched router of claim 2, wherein:
alternatively, the IMX6 control chip is further connected to the timing device, and configured to control the automatic start device to automatically open the router when the master existence signal is received within a preset time interval.
4. The automatically switched router of claim 3, wherein:
alternatively, the IMX6 control chip is further connected to the timing device, and configured to control the automatic opening device to automatically close the router when the owner existence signal is not received within a preset time interval.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201711239708.2A CN109861832B (en) | 2017-11-30 | 2017-11-30 | Automatic switch type router |
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| CN201711239708.2A CN109861832B (en) | 2017-11-30 | 2017-11-30 | Automatic switch type router |
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| CN109861832A CN109861832A (en) | 2019-06-07 |
| CN109861832B true CN109861832B (en) | 2021-07-16 |
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Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101639800A (en) * | 2008-08-01 | 2010-02-03 | 华为技术有限公司 | Display method of screen and terminal |
| CN201733316U (en) * | 2009-11-23 | 2011-02-02 | 李超 | Router |
| US9355334B1 (en) * | 2013-09-06 | 2016-05-31 | Toyota Jidosha Kabushiki Kaisha | Efficient layer-based object recognition |
| CN105652836A (en) * | 2016-01-20 | 2016-06-08 | 天脉聚源(北京)传媒科技有限公司 | Method and device for controlling electrical appliance |
| CN106355706A (en) * | 2016-08-31 | 2017-01-25 | 上海卓易云汇智能技术有限公司 | Intelligent door lock system |
| CN107016761A (en) * | 2017-04-17 | 2017-08-04 | 合肥酷庆信息科技有限公司 | A kind of cell gate disabling intelligence control system based on recognition of face |
| CN107295384A (en) * | 2017-08-24 | 2017-10-24 | 韩明 | A kind of multifunctional set top box control method |
-
2017
- 2017-11-30 CN CN201711239708.2A patent/CN109861832B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101639800A (en) * | 2008-08-01 | 2010-02-03 | 华为技术有限公司 | Display method of screen and terminal |
| CN201733316U (en) * | 2009-11-23 | 2011-02-02 | 李超 | Router |
| US9355334B1 (en) * | 2013-09-06 | 2016-05-31 | Toyota Jidosha Kabushiki Kaisha | Efficient layer-based object recognition |
| CN105652836A (en) * | 2016-01-20 | 2016-06-08 | 天脉聚源(北京)传媒科技有限公司 | Method and device for controlling electrical appliance |
| CN106355706A (en) * | 2016-08-31 | 2017-01-25 | 上海卓易云汇智能技术有限公司 | Intelligent door lock system |
| CN107016761A (en) * | 2017-04-17 | 2017-08-04 | 合肥酷庆信息科技有限公司 | A kind of cell gate disabling intelligence control system based on recognition of face |
| CN107295384A (en) * | 2017-08-24 | 2017-10-24 | 韩明 | A kind of multifunctional set top box control method |
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