CN114067615A - Intelligent security system based on Internet of things - Google Patents
Intelligent security system based on Internet of things Download PDFInfo
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Abstract
The invention discloses an intelligent security system based on the Internet of things, which can detect a dangerous unmanned aerial vehicle and give an alarm to meet the real-time security requirement; only when the dangerous unmanned aerial vehicle is detected, the dangerous unmanned aerial vehicle is tracked aloft, and the images and the positions are sent to a command station in real time, so that the system complexity is reduced, and the running speed is increased; meanwhile, real-time automatic tracking flight of the dangerous unmanned aerial vehicle is guaranteed, the dangerous unmanned aerial vehicle is positioned in the center of the picture, and meanwhile, the ground command station can also send a control instruction to the unmanned aerial vehicle, so that the control mode is more flexible, and the tracking efficiency is further improved; the unmanned aerial vehicle inspection device can be scheduled in real time according to specific application, so that the problems that the data volume of a monitoring system is low, information of each monitoring area cannot be shared, and response to special conditions cannot be made in time are solved; the traditional manpower inspection mode is completely replaced, the inspection hidden danger is reduced, the manpower, material resources and financial resources consumption is saved, and the inspection efficiency is improved.
Description
Technical Field
The invention relates to the technical field of communication, in particular to an intelligent security system based on the Internet of things.
Background
The traditional informatization construction mode of each business in the vertical industry can not meet the requirement of rapid development of urban communities, a basic resource platform below the application of the industry is opened, an inter-industry urban digital platform is established, capabilities such as cloud, video cloud, big data, Internet of things (IoT), Geographic Information System (GIS) and Integrated Communication Platform (ICP) are provided for smart city (such as communities and park scenes), and the intelligent city intelligent building can be combined with AI (information and intelligence) to be in butt joint with the application upwards and downwards through an industry enabling technology, so that a digital transformation tentacle of the intelligent park can be reached.
In recent years, with the rapid development of aircrafts such as unmanned planes and the like and the gradual opening of low-altitude airspace control, the phenomena of illegal ascent, black flight and the like of the low-slow small unmanned planes occur, so that the tracking and destroying of the low-slow small unmanned planes are needed to be realized so as to resist the illegal ascent of the low-slow small unmanned planes.
At present, the main current counter-braking solutions of the light and small unmanned aerial vehicles in the market are all technical solutions based on active detection radar detection, radio monitoring, photoelectric detection and wireless voltage system interference or a combination of a plurality of technologies, wherein the counter-braking part mainly relies on a high-power interference suppression technology, a frequency sweeping mode is adopted to interfere with remote control and an image transmission link of the low-altitude unmanned aerial vehicle, so that the unmanned aerial vehicle is forced to lose control and return to the air, force to land or drive away, electromagnetic radiation influence is brought due to high-power interference, civil facilities under urban environment can be influenced to bring public panic, and policy risks are particularly brought when the unmanned aerial vehicle is used in regions such as airports and the like, and the application range is limited.
Disclosure of Invention
The invention aims to provide an intelligent security system based on the Internet of things, which can acquire a real-time image, input the image into a deep neural network model, detect the type of a target in the image through forward operation, immediately give an alarm like a command station if a dangerous unmanned aerial vehicle is detected in the image, automatically take a snapshot of illegal behaviors needing evidence preservation, and timely perform manual intervention if necessary.
An intelligent security system based on the Internet of things comprises an unmanned aerial vehicle inspection device and a control center, wherein the unmanned aerial vehicle inspection device and the control center are wirelessly networked and interconnected through a communication module; the management and control center receives the information of unmanned aerial vehicle inspection device, does the integrated analysis and handles above-mentioned received information, forwards the processing result to all unmanned aerial vehicle inspection devices in its communication range, unmanned aerial vehicle inspection device includes:
the flight route setting module is used for presetting a cruising route of the unmanned aerial vehicle according to the route of the park, enabling the unmanned aerial vehicle to take off by one key and land by one key, and autonomously flying along the preset cruising route;
the automatic identification module is used for automatically identifying the flyers in the park, analyzing and finding out whether illegal behaviors exist or not and confirming whether potential safety hazards exist in the park or not;
the warning module is used for warning the control center in time when the automatic identification module detects that the violation of the flyer is detected;
the information display module is used for displaying the park condition and the violation information in real time;
the data storage module is used for calling out the park condition and violation information in real time and storing historical flight data in the platform;
and the data transmission module is used for receiving the information data transmitted from the data interface of the automatic identification module, carrying out frequency conversion on the information data and transmitting the information data to the control center.
In one embodiment, the data transmission module includes:
the receiving module is used for receiving the information to be verified sent by the automatic identification module; the information to be verified comprises first identity certificate information obtained by the automatic identification module from a received query request for the flyer and a first hash value of the automatic identification module on the first identity certificate information;
the obtaining module is used for obtaining second identity certificate information matched with the first identity certificate information from a Trusted Execution Environment (TEE);
and the verification module is used for verifying the identity of the flyer according to the first hash value of the first identity certificate information and the second identity certificate information.
In one embodiment, the data transmission module further includes:
the digital identity contract module is used for receiving the information to be verified sent by the automatic identification module; the information to be verified comprises first identity certificate information obtained by the flyer from a received query request initiated by the unmanned aerial vehicle inspection device and a first hash value of the first identity certificate information by the automatic identification module;
the TEE module is used for receiving the first identity certificate information sent by the digital identity contract module, inquiring according to the first identity certificate information to obtain second identity certificate information matched with the first identity certificate information, and returning the second identity certificate information to the digital identity contract module;
the digital identity contract module is further used for carrying out identity verification on the flyer according to the first hash value of the first identity certificate information and the second identity certificate information.
In one embodiment, the unmanned aerial vehicle inspection device determines and selectively processes the flying object according to identity authentication, and collects state information of the flying object, wherein the state information includes:
the positioning module is used for realizing positioning and ranging processing work on the flyer based on a general angle measurement positioning algorithm program;
the receiving and transmitting signal module is used for processing a transmitting signal and a receiving signal, coding and modulating information needing to be transmitted to the flyer, then transmitting the information, and recovering the received signal into information carried by the signal through operations such as signal demodulation, decoding and the like;
and the processing module receives the operation execution command and performs corresponding operation on the flyer according to the operation execution command.
In one embodiment, the information display module obtains the most dangerous flyer with the identity authentication from the management and control center, generates a temporary tracking library, defaults to select the most dangerous flyer image with the identity authentication as a target image for the first detection of the SLAM algorithm, and initializes the SLAM algorithm; extracting a current frame image of the video acquired by the automatic identification module, and detecting a flying object of the current frame image by using a deep learning target detection algorithm; if the flying object is detected in the image, detecting whether the flying object is a dangerous flying object needing to be tracked; if the dangerous flying object exists, the tracking is successful, and the current frame image is used for replacing the target image of the temporary tracking library to serve as the target image in the next frame tracking.
In one embodiment, when the unmanned aerial vehicle inspection device receives a target switching and tracking instruction, finding out an image of a corresponding dangerous flying object from a previous storage path, and using the image to replace a target image in an existing temporary tracking library; initializing the tracking target of the SLAM module again to be the image of the corresponding switched dangerous flying object in the temporary tracking library; extracting a current frame image of a video acquired by a real-time video acquisition module, and detecting a flying object of the current frame image by using a deep learning target detection algorithm; if the flying object is detected in the image, detecting whether the person is a dangerous flying object needing to be tracked; if the dangerous flying object exists, the tracking is successful, and the current frame image is used for replacing the target image of the temporary tracking library to serve as the target image in the next frame tracking.
In one embodiment, after the dangerous flying object needing to be tracked is successfully detected in the current frame image, the positioning module is called according to the coordinate position of the dangerous flying object detected in the current frame image, and the actual distance between the unmanned aerial vehicle inspection device and the dangerous flying object is measured.
In one embodiment, the positioning module uses an angle measurement positioning algorithm to position the dangerous flying object, the position of the nearby detectable flying object and the distance between the unmanned aerial vehicle inspection device, and obtains the positioning and ranging results of the dangerous flying object, the position of the nearby detectable flying object and the distance between the unmanned aerial vehicle inspection device and the dangerous flying object.
In one embodiment, the management and control center comprises a data processing system and a management system, a data analysis module and a data statistics module are arranged inside the data processing system, the data analysis module is used for carrying out big data analysis on the management and control center, a whole-network monitoring management system and a whole-network information sending management system are arranged inside the management system, and the management system is connected with various front-end control devices through wireless connection.
In one embodiment, the automatic identification module identifies and collects information data of the unmanned aerial vehicle inspection device and detected flying objects, the acquired information data and the flying object data are output to the data transmission module, the data transmission module transmits the received information to the management and control center, and the automatic identification module comprises a camera device, a radar and a speed sensor.
The technical scheme has the following advantages or beneficial effects:
the intelligent security system based on the Internet of things can detect the dangerous unmanned aerial vehicle and give an alarm, and meets the real-time security requirement; only when the dangerous unmanned aerial vehicle is detected, the unmanned aerial vehicle is switched to a tracking mode, the dangerous unmanned aerial vehicle is tracked aloft, and images and positions are sent to a command station in real time, so that the tracking mode is started only when necessary, the system complexity is reduced, and the running speed is increased; meanwhile, real-time automatic tracking flight of the dangerous unmanned aerial vehicle is guaranteed, the dangerous unmanned aerial vehicle is positioned in the center of the picture, and meanwhile, the ground command station can also send a control instruction to the unmanned aerial vehicle, so that the control mode is more flexible, and the tracking efficiency is further improved; the real-time scheduling of the patrol terminal can be carried out according to specific application, and the problems that the data volume of a monitoring system is low, information of each monitoring area cannot be shared, and response cannot be timely made to special conditions are solved; the traditional manpower inspection mode is completely replaced, inspection hidden dangers are reduced, manpower, material resources and financial resources are saved, inspection efficiency is improved, and more illegal events can be processed; meanwhile, the defect that fixed blind areas exist in bayonet equipment monitoring is overcome.
Drawings
Fig. 1 is a schematic structural diagram of an intelligent security system based on the internet of things.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in detail below.
With reference to fig. 1, an intelligent security system based on the internet of things comprises an unmanned aerial vehicle inspection device 1 and a control center 2, wherein the unmanned aerial vehicle inspection device 1 and the control center 2 are wirelessly networked and interconnected through a communication module 3; management and control center 2 receives unmanned aerial vehicle inspection device 1's information is synthesized analysis and is handled above-mentioned received information, forwards the processing result to all unmanned aerial vehicle inspection device 1 in its communication range, unmanned aerial vehicle inspection device 1 includes:
the flight route setting module 11 is used for presetting a cruising route of the unmanned aerial vehicle according to the route of the park, enabling the unmanned aerial vehicle to take off by one key and land by one key, and autonomously flying along the preset cruising route;
the automatic identification module 12 is used for automatically identifying the flyers in the park, analyzing and finding out whether illegal behaviors exist or not, and determining whether potential safety hazards exist in the park or not;
the warning module 13 is used for warning the management and control center in time when the automatic identification module detects that the violation of the flyer occurs;
the information display module 14 is used for displaying the park situation and the violation information in real time;
the data storage module 15 is used for calling out the park situation and violation information in real time and storing historical flight data in the platform;
the data transmission module 16 is configured to receive information data transmitted from the data interface of the automatic identification module 12, perform frequency conversion on the information data, and transmit the information data to the management and control center 2;
the flight path setting module 11 and the automatic identification module 12 operate in a cruise mode;
the information display module 14 and the alarm module 13 operate in a tracking mode;
the cruise mode is an unmanned aerial vehicle initialization mode, and the unmanned aerial vehicle is switched to a tracking mode when detecting a dangerous event or an illegal behavior in the cruise mode.
Further, in a preferred embodiment of the intelligent security system based on the internet of things, the data transmission module 15 includes:
a receiving module 151, configured to receive information to be verified sent by the automatic identification module 12; the information to be verified comprises first identity credential information obtained by the automatic identification module 12 from a received query request initiated on the flyer and a first hash value of the automatic identification module 12 on the first identity credential information;
an obtaining module 152, configured to obtain, from a trusted execution environment TEE, second identity credential information that matches the first identity credential information;
the verification module 153 is configured to perform identity verification on the flying object according to the first hash value of the first identity credential information and the second identity credential information.
The digital identity authentication process comprises the following steps: the system comprises four main bodies, namely a flyer, a perception node layer, a digital identity contract module and a TEE (Trusted Execution Environment). Wherein, the function of the trusted execution environment TEE is designed as an information entry method and an information authentication method, the registration authentication authority is in the information entry method to the trusted execution environment TEE, the submitted information includes but is not limited to: request parameters such as information type, information attribution digital identity (identity) id, information hash value, registration certification authority signature and the like; in the information authentication method of the trusted execution environment TEE by the trusted authentication authority, the submitted information includes but is not limited to: request parameters such as information attribution digital identity id, information category, trusted certification authority and the like. Because the trusted execution environment TEE does not allow any user to directly read the data stored in the TEE, the related data can be acquired only by possessing a specific key or being authorized, and the digital identity information is stored in the trusted execution environment TEE, thereby ensuring the safety of the digital identity information.
The receiving module 31 is configured to receive information to be verified sent by the automatic identification module 12; the information to be verified comprises first identity credential information obtained by the automatic identification module 12 from a received query request initiated by the flyer, and a first hash value of the automatic identification module 12 on the first identity credential information; the obtaining module 152 is configured to obtain, from the trusted execution environment TEE, second identity credential information that matches the first identity credential information; the verification module 153 is configured to perform identity verification on the flying object according to the first hash value of the first identity credential information and the second identity credential information. The digital identity authentication device provided by the application not only provides an authentication function for identity information, but also improves the safety of storing digital identity certificate information.
Further, in a preferred embodiment of the intelligent security system based on the internet of things of the present invention, the data transmission module 15 further includes:
a digital identity contract module 154, configured to receive information to be verified sent by the automatic identification module 12; the information to be verified comprises first identity credential information obtained by the flyer from a received query request initiated by the unmanned aerial vehicle inspection device 1, and a first hash value of the first identity credential information by the automatic identification module 12;
optionally, in some embodiments of the present application, the information to be verified further includes a signature of the sensing node layer on the signature information, and the digital identity contract module 154 is further configured to perform authority verification on the automatic identification module according to the signature information and the signature; after the automatic identification module authority passes the verification, the digital identity contract module 154 sends the first identity credential information to the trusted execution environment TEE, and acquires second identity credential information matched with the first identity credential information from the trusted execution environment TEE;
optionally, the digital identity contract module 154 may verify whether the automatic identification module has the authority to perform identity verification on the to-be-sensed node layer by verifying the public key of the to-be-sensed node layer, in some embodiments of the present application, the digital identity contract module 154 may be configured to calculate the public key of the automatic identification module according to the signature information and the signature; according to the reference public key of the automatic identification module and the public key of the automatic identification module stored in the digital identity contract module 154, authority verification is performed on the automatic identification module;
optionally, in some embodiments of the present application, the digital identity contract module 154 may be configured to determine that the authority verification of the automatic identification module passes when the reference public key of the automatic identification module stored in the digital identity contract module 154 is consistent with the public key of the automatic identification module;
a TEE module 155, configured to receive the first identity credential information sent by the digital identity contract module 154, query the first identity credential information according to the first identity credential information to obtain second identity credential information matched with the first identity credential information, and return the second identity credential information to the digital identity contract module 154;
the digital identity contract module 154 is further configured to authenticate the flying object according to the first hash value of the first identity credential information and the second identity credential information.
Further, in a preferred embodiment of the intelligent security system based on the internet of things, the management and control center 2 includes a data processing system 21 and a management system, a data analysis module 211 and a data statistics module 212 are arranged inside the data processing system 21, the data analysis module 211 is used for performing big data analysis on the management and control center 2, a whole network monitoring management system and a whole network information sending management system are arranged inside the management system, and the management system is wirelessly connected with various front-end control devices.
Further, in a preferred embodiment of the intelligent security system based on the internet of things, the unmanned aerial vehicle inspection device 1 determines and selectively processes the flying object according to the authentication, and collects the state information of the flying object, where the method includes:
the positioning module 121 is used for realizing positioning and ranging processing work on the flyer based on a general angle measurement positioning algorithm program;
the signal receiving and transmitting module 122 is configured to process a transmitting signal and a receiving signal, encode and modulate information that needs to be sent to the flying object, and then send the information out, and restore the received signal to information carried in the signal through operations such as signal demodulation and decoding;
and the processing module 123 receives the operation execution command and performs corresponding operation on the flying object according to the operation execution command.
Further, in a preferred embodiment of the intelligent security system based on the internet of things, the information display module 14 obtains the most dangerous flyer with the identity authentication from the management and control center 2, generates a temporary tracking library, defaults to select the most dangerous flyer image with the identity authentication as a target image for the first detection by the SLAM algorithm, and initializes the SLAM algorithm; extracting a current frame image of the video acquired by the automatic identification module 12, and detecting a flying object of the current frame image by using a deep learning target detection algorithm; if the flying object is detected in the image, detecting whether the flying object is a dangerous flying object needing to be tracked; if the dangerous flying object exists, the tracking is successful, and the current frame image is used for replacing the target image of the temporary tracking library to serve as the target image in the next frame tracking.
Further, in a preferred embodiment of the intelligent security system based on the internet of things, in the tracking mode, the instruction for switching the tracking target of the management and control center 2 can be received through the data transmission module 15; when the unmanned aerial vehicle inspection device 1 receives a target switching and tracking instruction, finding out a corresponding image of a dangerous flying object from a previous storage path, and using the image to replace a target image in an existing temporary tracking library; initializing the tracking target of the SLAM module again to be the image of the corresponding switched dangerous flying object in the temporary tracking library; extracting a current frame image of a video acquired by the information display module 14, and detecting a flying object of the current frame image by using a deep learning target detection algorithm; if the flying object is detected in the image, detecting whether the flying object is a dangerous flying object needing to be tracked; if the dangerous flying object exists, the tracking is successful, and the current frame image is used for replacing the target image of the temporary tracking library to serve as the target image in the next frame tracking.
Further, in a preferred embodiment of the intelligent security system based on the internet of things, after the dangerous flying object to be tracked is successfully detected in the current frame image, the positioning module 121 is called according to the coordinate position of the dangerous flying object detected in the current frame image, and the actual distance between the unmanned aerial vehicle inspection device 1 and the dangerous flying object is obtained through measurement.
Further, in a preferred embodiment of the intelligent security system based on the internet of things, the positioning module 121 uses an angle measurement positioning algorithm to position the dangerous flying object and the distance between the position of the flying object which can be detected nearby and the unmanned aerial vehicle inspection device 1, and obtains the positioning and ranging results of the dangerous flying object and the position of the flying object.
The unmanned aerial vehicle inspection device 1 is close to a dangerous flying object; the unmanned aerial vehicle inspection device 1 uses a direction-finding cross positioning method to position dangerous flying objects and other dangerous flying object positions which can be detected nearby and the direction angles and the distances of the unmanned aerial vehicle inspection device 1, and positioning and distance measuring results of the dangerous flying objects and the dangerous flying object positions are obtained. The direction-finding cross positioning method is a method for determining a target position by measuring 3 directional diagrams, namely 3 conical surfaces, in a crossed manner. The method is characterized in that the angle measurement principle of an interferometer is adopted, the propagation direction of electromagnetic waves emitted by a user is measured by utilizing the characteristic of linear propagation of radio waves, so that the included angle of the user relative to the baseline direction of a measuring station is measured, and the phase difference of signals received by two measuring stations of the baseline and the included angle of the baseline form a cosine relationship, so that the direction cosine is called. The cosine of this direction represents the direction of the eye. If the third base line measures the second direction cosine, then the third position surface is determined, and the user space position can be determined by intersecting the first two position surfaces at one point, namely the angle measuring cross positioning method; the unmanned aerial vehicle inspection device 1 sends a connection establishment request message to the selected dangerous flying object, completes establishment of direct link of a communication channel between the selected dangerous flying object and the selected dangerous flying object when receiving a response message of successful connection establishment, and stops the operation and ends the process if the connection is unsuccessful.
Further, in a preferred embodiment of the intelligent security system based on the internet of things, the automatic identification module 12 identifies and collects information data of the unmanned aerial vehicle inspection device 1 and data of detected flying objects, the collected information data and the data of the flying objects are output to the data transmission module 15, the data transmission module 15 transmits the received information to the control center 2, and the automatic identification module 12 includes a camera device, a radar and a speed sensor.
Obtaining the coordinate of a dangerous flying object in an image, wherein the coordinate of the dangerous flying object in the image is a two-dimensional relative coordinate obtained by a deep learning target detection algorithm, the coordinate of the dangerous flying object in the image is the two-dimensional relative coordinate obtained by the deep learning target detection algorithm, the cloud deck deflection angle of a visible light camera carried by the unmanned aerial vehicle inspection device 1 is obtained through image coordinate conversion, the cloud deck steering is adjusted, the cloud deck is enabled to be aligned to the dangerous flying object in the forward direction, and the deflection angle of the unmanned aerial vehicle inspection device 1 is obtained through the included angle between an inertia measurement unit of the cloud deck and an inertia measurement unit of the unmanned aerial vehicle inspection device 1; after the deviation angle of the unmanned aerial vehicle inspection device 1 is obtained, adjusting the direction of the unmanned aerial vehicle inspection device 1 to enable the head direction of the unmanned aerial vehicle inspection device 1 to be consistent with the direction of a holder, and meanwhile ensuring that the tracked flying object is located in the center of a picture shot by the unmanned aerial vehicle inspection device 1; the actual distance between the unmanned aerial vehicle inspection device 1 and the dangerous flying object is obtained through a laser ranging module, the preset safety distance of the unmanned aerial vehicle inspection device 1 is compared, the flying direction of the unmanned aerial vehicle inspection device 1 is obtained, and if the actual distance is smaller than a set threshold value, the unmanned aerial vehicle inspection device flies backwards and is lengthened; if the actual distance is larger than the set threshold value, flying forwards and approaching the distance; obtaining the flight speed of the unmanned aerial vehicle inspection device 1 according to the difference between the set threshold and the actual distance, and taking the integer part of the value obtained by root marking the absolute value of the difference between the set threshold and the actual distance as the flight speed of the unmanned aerial vehicle inspection device 1; finally, the unmanned aerial vehicle inspection device 1 is controlled to track dangerous flying objects, and a certain distance is ensured between the unmanned aerial vehicle inspection device 1 and the dangerous flying objects;
unmanned aerial vehicle inspection device 1 is at the in-process of pursuing, through data transmission module 15 will unmanned aerial vehicle inspection device 1's GPS information, the video of collection, airspeed, course angle, dangerous flying object's coordinate, dangerous flying object with one kind or several kinds of transmission of unmanned aerial vehicle inspection device 1's distance information are to management and control center 2.
Obtain the real-time image in the monitoring area that cruises from the visible light camera that unmanned aerial vehicle carried on, the camera is taken a candid photograph through the frequency that can set up at any time. Aiming at monitoring the network environment, customer requirements and other actual conditions of the site, the unmanned aerial vehicle can select an intelligent unmanned aerial vehicle which directly carries out abnormity detection on the captured image at the unmanned aerial vehicle end, and can also select a common unmanned aerial vehicle which sends the captured image to the control center 2.
It should be noted that the embodiments of the present invention can be realized by hardware, software, or a combination of software and hardware. The hardware portion may be implemented using dedicated logic; the software portions may be stored in a memory and executed by a suitable instruction execution system, such as a microprocessor or specially designed hardware. Those skilled in the art will appreciate that the apparatus and methods described above may be implemented using computer executable instructions and/or embodied in processor control code, such code being provided on a carrier medium such as a disk, CD-or DVD-ROM, programmable memory such as read only memory (firmware), or a data carrier such as an optical or electronic signal carrier, for example. The apparatus and its modules of the present invention may be implemented by hardware circuits such as very large scale integrated circuits or gate arrays, semiconductors such as logic chips, transistors, or programmable hardware devices such as field programmable gate arrays, programmable logic devices, etc., or by software executed by various types of processors, or by a combination of hardware circuits and software, e.g., firmware.
In conclusion, the intelligent security system based on the Internet of things can detect the dangerous unmanned aerial vehicle and give an alarm, and meets the real-time security requirement; only when the dangerous unmanned aerial vehicle is detected, the unmanned aerial vehicle is switched to a tracking mode, the dangerous unmanned aerial vehicle is tracked aloft, and images and positions are sent to a command station in real time, so that the tracking mode is started only when necessary, the system complexity is reduced, and the running speed is increased; meanwhile, real-time automatic tracking flight of the dangerous unmanned aerial vehicle is guaranteed, the dangerous unmanned aerial vehicle is positioned in the center of the picture, and meanwhile, the ground command station can also send a control instruction to the unmanned aerial vehicle, so that the control mode is more flexible, and the tracking efficiency is further improved; the real-time scheduling of the patrol terminal can be carried out according to specific application, and the problems that the data volume of a monitoring system is low, information of each monitoring area cannot be shared, and response cannot be timely made to special conditions are solved; the traditional manpower inspection mode is completely replaced, inspection hidden dangers are reduced, manpower, material resources and financial resources are saved, inspection efficiency is improved, and more illegal events can be processed; meanwhile, the defect that fixed blind areas exist in bayonet equipment monitoring is overcome.
While the invention has been described with reference to a preferred embodiment, it will be understood by those skilled in the art that various changes in form and detail may be made therein without departing from the spirit and scope of the invention.
In the description of the present invention, it is to be understood that the terms "upper", "lower", "front", "rear", and the like, which indicate orientations or positional relationships, are based on the orientations or positional relationships shown in the drawings, are only for convenience in describing the present invention and simplifying the description, and do not indicate or imply that the referred devices or elements must have a specific orientation, be constructed in a specific orientation, and be operated, and thus, should not be construed as limiting the present invention.
Claims (10)
1. An intelligent security system based on the Internet of things comprises an unmanned aerial vehicle inspection device and a control center, wherein the unmanned aerial vehicle inspection device and the control center are wirelessly networked and interconnected through a communication module; the management and control center receives unmanned aerial vehicle inspection device's information, does the integrated analysis and handles above-mentioned received information, forwards the processing result to all unmanned aerial vehicle inspection device in its communication range, its characterized in that, unmanned aerial vehicle inspection device includes:
the flight route setting module is used for presetting a cruising route of the unmanned aerial vehicle according to the route of the park, enabling the unmanned aerial vehicle to take off by one key and land by one key, and autonomously flying along the preset cruising route;
the automatic identification module is used for automatically identifying the flyers in the park, analyzing and finding out whether illegal behaviors exist or not and confirming whether potential safety hazards exist in the park or not;
the warning module is used for warning the control center in time when the automatic identification module detects that the violation of the flyer is detected;
the information display module is used for displaying the park condition and the violation information in real time;
the data storage module is used for calling out the park condition and violation information in real time and storing historical flight data in the platform;
and the data transmission module is used for receiving the information data transmitted from the data interface of the automatic identification module, carrying out frequency conversion on the information data and transmitting the information data to the control center.
2. The intelligent security system based on the internet of things of claim 1, wherein the data transmission module comprises:
the receiving module is used for receiving the information to be verified sent by the automatic identification module; the information to be verified comprises first identity certificate information obtained by the automatic identification module from a received query request for the flyer and a first hash value of the automatic identification module on the first identity certificate information;
the obtaining module is used for obtaining second identity certificate information matched with the first identity certificate information from a Trusted Execution Environment (TEE);
and the verification module is used for verifying the identity of the flyer according to the first hash value of the first identity certificate information and the second identity certificate information.
3. The intelligent security system based on the internet of things of claim 2, wherein the data transmission module further comprises:
the digital identity contract module is used for receiving the information to be verified sent by the automatic identification module; the information to be verified comprises first identity certificate information obtained by the flyer from a received query request initiated by the unmanned aerial vehicle inspection device and a first hash value of the first identity certificate information by the automatic identification module;
the TEE module is used for receiving the first identity certificate information sent by the digital identity contract module, inquiring according to the first identity certificate information to obtain second identity certificate information matched with the first identity certificate information, and returning the second identity certificate information to the digital identity contract module;
the digital identity contract module is further used for carrying out identity verification on the flyer according to the first hash value of the first identity certificate information and the second identity certificate information.
4. The intelligent security and protection system based on the internet of things according to claim 3, wherein the unmanned aerial vehicle inspection device determines and selects to process the flyer according to identity verification and collects state information of the flyer, and the system comprises:
the positioning module is used for realizing positioning and ranging processing work on the flyer based on a general angle measurement positioning algorithm program;
the receiving and transmitting signal module is used for processing a transmitting signal and a receiving signal, coding and modulating information needing to be transmitted to the flyer, then transmitting the information, and recovering the received signal into information carried by the signal through operations such as signal demodulation, decoding and the like;
and the processing module receives the operation execution command and performs corresponding operation on the flyer according to the operation execution command.
5. The intelligent security system based on the internet of things of claim 4, wherein the information display module obtains the most dangerous flyer for identity verification from the management and control center, generates a temporary tracking library, defaults to select the most dangerous flyer image for identity verification as a target image for the first detection of the SLAM algorithm, and initializes the SLAM algorithm; extracting a current frame image of the video acquired by the automatic identification module, and detecting a flying object of the current frame image by using a deep learning target detection algorithm; if the flying object is detected in the image, detecting whether the flying object is a dangerous flying object needing to be tracked; if the dangerous flying object exists, the tracking is successful, and the current frame image is used for replacing the target image of the temporary tracking library to serve as the target image in the next frame tracking.
6. The intelligent security and protection system based on the Internet of things of claim 5, wherein when the unmanned aerial vehicle inspection device receives a target switching and tracking command, the corresponding image of the dangerous flying object is found from the previous storage path and is used for replacing the target image in the existing temporary tracking library; initializing the tracking target of the SLAM module again to be the image of the corresponding switched dangerous flying object in the temporary tracking library; extracting a current frame image of a video acquired by an information display module, and detecting a flying object of the current frame image by using a deep learning target detection algorithm; if the flying object is detected in the image, detecting whether the flying object is a dangerous flying object needing to be tracked; if the dangerous flying object exists, the tracking is successful, and the current frame image is used for replacing the target image of the temporary tracking library to serve as the target image in the next frame tracking.
7. The intelligent security system based on the Internet of things of claim 6, wherein after the dangerous flying object to be tracked is successfully detected in the current frame image, the positioning module is called according to the coordinate position of the dangerous flying object detected in the current frame image, and the actual distance between the unmanned aerial vehicle inspection device and the dangerous flying object is obtained through measurement.
8. The intelligent security and protection system based on the Internet of things according to claim 4, wherein the positioning module is used for positioning the dangerous flying object and the distance between the position of the flying object which can be detected nearby and the unmanned aerial vehicle inspection device by using an angle measurement positioning algorithm, and obtaining the positioning and ranging results of the dangerous flying object and the position of the flying object.
9. The intelligent security system based on the internet of things of claim 1, wherein the management and control center comprises a data processing system and a management system, a data analysis module and a data statistics module are arranged inside the data processing system, the data analysis module is used for carrying out big data analysis on the management and control center, a whole-network monitoring management system and a whole-network information sending management system are arranged inside the management system, and the management system is connected with various front-end control devices through wireless connection.
10. The intelligent security system based on the internet of things of claim 1, wherein the automatic identification module identifies and collects information data of the unmanned aerial vehicle inspection device and detected flying objects, the collected information data and the collected flying object data are output to the data transmission module, the data transmission module transmits the received information to the control center, and the automatic identification module comprises a camera device, a radar and a speed sensor.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114995507A (en) * | 2022-06-22 | 2022-09-02 | 中国人民公安大学 | Safety inspection method, device, equipment and storage medium |
| CN115953865A (en) * | 2023-03-10 | 2023-04-11 | 立芯科技股份有限公司 | RFID logistics electronic lock |
| CN117131369A (en) * | 2023-10-27 | 2023-11-28 | 福建福昇消防服务集团有限公司 | Data processing method and system of intelligent safety management and emergency rescue integrated station |
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2021
- 2021-10-28 CN CN202111262656.7A patent/CN114067615A/en active Pending
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114995507A (en) * | 2022-06-22 | 2022-09-02 | 中国人民公安大学 | Safety inspection method, device, equipment and storage medium |
| CN114995507B (en) * | 2022-06-22 | 2022-11-29 | 中国人民公安大学 | Safety inspection method, device, equipment and storage medium |
| CN115953865A (en) * | 2023-03-10 | 2023-04-11 | 立芯科技股份有限公司 | RFID logistics electronic lock |
| CN117131369A (en) * | 2023-10-27 | 2023-11-28 | 福建福昇消防服务集团有限公司 | Data processing method and system of intelligent safety management and emergency rescue integrated station |
| CN117131369B (en) * | 2023-10-27 | 2023-12-22 | 福建福昇消防服务集团有限公司 | Data processing method and system of intelligent safety management and emergency rescue integrated station |
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