CN111145065A - Artificial intelligence community internet of things service terminal and system - Google Patents
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Abstract
The invention discloses an artificial intelligence community internet of things service terminal and system. The service terminal comprises a base platform, a machine body, a rotating assembly, a camera and a transparent cover body; a walking device is arranged below the base platform, and a driving motor is arranged in the base platform; the machine body is positioned above the base platform, a control box is arranged in the machine body, a control panel is fixedly arranged in the control box, and a processor, a memory, a positioning device and a communication module are integrated on the control panel; the camera is positioned above the machine body, is connected with the machine body through the rotating assembly and can rotate 360 degrees in the horizontal direction to shoot panoramic images; the transparent cover body is positioned above the camera and fixedly connected with the machine body. The system comprises the service terminal and the community server. The invention can realize automatic patrol and intelligent patrol of communities and optimize patrol routes according to long-term accumulated historical data, thereby reducing labor cost, improving efficiency and effectively improving community safety.
Description
Technical Field
The invention relates to the technical field of Internet of things, in particular to an artificial intelligence community Internet of things service terminal and system.
Background
The intelligent community is a new concept of community management, is a new mode of social management innovation in a new situation, fully utilizes the internet and the internet of things technology, exerts the advantages of developed information communication industry, excellent telecommunication service and informatization infrastructure and the like, constructs a smart environment for community development, forms a new community management mode based on mass information and intelligent filtering processing, and is oriented to the future construction of a brand new community form. At present, the construction of intelligent communities gradually relates to various aspects of community life, such as the transformation of access control equipment and the addition of more networking and intelligent functions to the access control equipment; terminals integrating various property service functions are placed in the community, and self-service is carried out by community residents.
Along with the continuous improvement of people's attention to community safety to and large-scale novel community construction, except the management that the community came in and go out, the safety control in the community has also become the key of community property management. Due to the fact that the area in the community is large, the monitoring picture of the monitoring camera is limited, and a property company needs to invest a large number of personnel to patrol and sign in according to a set route every day and every time period. The manual patrol mode needs a large amount of labor cost, and a lot of security personnel only check in and do not check the site comprehensively, so that the efficiency is low, and potential safety hazards exist.
Disclosure of Invention
In order to overcome the above defects in the prior art, embodiments of the present invention provide an artificial intelligence community internet of things service terminal and system, which can automatically patrol and acquire a scene picture, and ensure community security by intelligently identifying and analyzing and identifying abnormal situations.
According to a first aspect of the invention, the invention provides an artificial intelligence community internet of things service terminal, which comprises a base platform, a machine body, a rotating assembly, a camera and a transparent cover body;
a traveling device is arranged below the base platform, a driving motor is arranged in the base platform and electrically connected with the traveling device, the traveling device can be driven to drive the service terminal to move, and the upper surface of the base platform is a plane for carrying objects;
the machine body is positioned above the base platform and is fixedly connected with the side surface of the base platform, so that the occupation of the upper surface space of the base platform can be reduced. The machine body comprises a rotating motor connected with the rotating assembly to drive the rotating assembly to rotate. A control panel and a power module are fixedly installed inside the machine body, and a processor, a memory, a positioning device and a communication module are integrated on the control panel; the processor is used for controlling the driving motor according to the map data stored in the memory and the positioning data acquired by the positioning device, so that the service terminal moves according to a preset route, controlling the rotating motor at a preset position, driving the rotating assembly to rotate, controlling the camera to shoot an image and sending the image and the current position information to the community server through the communication module;
the camera is positioned above the machine body and is connected with the machine body through the rotating assembly, and the camera is fixedly connected with the rotating assembly, can rotate 360 degrees in the horizontal direction and shoots images under the control of the processor;
the transparent cover body is positioned above the camera and fixedly connected with the machine body.
Furthermore, a speaker, a microphone and a touch screen are arranged on the surface of the machine body, the processor is further used for receiving target address information input through the microphone and/or the touch screen, determining a route according to the map data and the positioning data, and controlling a driving motor according to the determined route so that the service terminal moves according to the determined route.
Further, the processor is further configured to record a route that has already passed, determine whether a route that the service terminal has not passed exists according to the map data, determine the preset route according to the route that has not passed if yes, and acquire a default route as the preset route if no.
According to a second aspect of the present invention, an artificial intelligence community internet of things service system is provided, including the service terminal and the community server according to the first aspect, wherein the service terminal is connected with the community server in a wireless manner;
the service terminal is used for patrolling in the community according to a preset route, shooting images in real time and transmitting the shot images and shooting position information to the community server;
the community server is used for receiving the shot images and the shot position information, combining all the images according to the shot position information to generate a panoramic image at each position, and judging whether an abnormal event exists according to the panoramic image.
Further, the determining whether there is an abnormal event includes:
acquiring a standard image of the position according to the shooting position information;
comparing the panoramic image corresponding to the shooting position information with the standard image;
and judging whether an abnormal event exists according to the comparison result.
Further, the determining whether there is an abnormal event includes:
acquiring a personnel image in the panoramic image;
determining personnel characteristic information through face recognition and/or posture recognition;
comparing the personnel characteristic information with pre-stored community personnel characteristic information to determine personnel identity;
and judging whether an abnormal event exists according to the personnel identity.
Further, the system further comprises a cloud server, and the community server sends the panoramic image to the cloud server;
the cloud server performs intelligent analysis according to the panoramic image within a period of time, acquires personnel action data of the community and sends the personnel action data to the community server;
and the community server adjusts the preset route of the service terminal according to the personnel action data.
The invention has the technical effects and advantages that:
the artificial intelligent community internet of things service terminal provided by the invention can patrol in a community according to a preset route and shoot a scene picture in real time, so that outdoor manual patrol is replaced, the full coverage of a patrol area and all weather of patrol time are guaranteed, the terminal is high in stability and can prevent wind and rain through an innovative structural design, and route guidance and carrying service can be provided for community residents and visitors during patrol. The invention also provides an artificial intelligence community internet of things service system comprising the service terminal, the community server and the service terminal are matched to realize the function of community safety guarantee, machine learning and artificial intelligence processing are further carried out through the cloud server, the working mode of the service terminal can be continuously adjusted and optimized, and the intelligence level of community service is improved.
Drawings
FIG. 1 is a schematic structural diagram of an artificial intelligence community Internet of things service terminal according to the present invention;
FIG. 2 is a schematic diagram of a module architecture of an artificial intelligence community IOT service terminal according to the present invention;
FIG. 3 is a schematic diagram of an architecture of an artificial intelligence community Internet of things service system according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1-2, an artificial intelligence community internet of things service terminal 10 includes a base platform 11, a machine body 12, a rotating assembly 13, a camera 14 and a transparent cover 15. Base platform 11 has running gear 111, and base platform 11 is inside to have driving motor 112, driving motor 112 with running gear 111 electricity is connected, can drive running gear 111 in order to drive service terminal 1 removes, the upper surface of base platform 11 is the plane in order to be used for carrying the thing. The base platform 11 is optionally cylindrical with a circular, oval, rectangular or other cross-section, or the walking device 111 optionally comprises wheels, the number of which may be 3 or 4.
The body 12 is located above the base platform 11 and is fixedly connected to the side of the base platform 11, so that the occupation of the upper surface space of the base platform 11 can be reduced. The body 12 includes a rotating motor 126 connected to the rotating assembly 13 for driving the rotating assembly 13 to rotate. A control panel and a power module 125 are fixedly installed inside the machine body 12, and a processor 121, a memory 122, a positioning device 123 and a communication module 124 are integrated on the control panel. The positioning device 123 may optionally include a GPS or compass positioning device, an inertial sensor, or the like. The processor 121 is configured to control the driving motor 112 according to the map data stored in the memory 122 and the positioning data obtained by the positioning device 123, so that the service terminal moves according to a preset route, control the rotating motor 126 at a preset position, drive the rotating assembly 13 to rotate, control the camera 14 to shoot an image, and send the image and the current position information to the community server 20 through the communication module 124. The communication module 124 is a wireless communication module, and the communication mode thereof includes 4G, 5G communication and WIFI communication.
The camera 14 is located above the body 12 and connected to the body 12 through the rotating assembly 13, and the camera 14 is fixedly connected to the rotating assembly 13, can rotate 360 degrees in the horizontal direction and can shoot images under the control of the processor 121.
The transparent cover 15 is located above the camera 14 and is fixedly connected to the body 12, and the transparent cover 15 is optionally spherical to protect the camera 14 and reduce the influence on the picture.
The processor 121 is electrically connected with the memory 122, the positioning device 123, the communication module 124, the rotating motor 126 and the driving motor 112 to perform information interaction and control with the modules.
The power module 125 includes a lithium battery that is electrically connected to the other modules to provide operating power to the other modules.
Optionally, the surface of the body 12 is provided with a speaker 127, a microphone 128 and a touch screen 129, and the processor 121 is further configured to receive target address information input through the microphone 128 and/or the touch screen 129, determine a route according to the map data and the positioning data, and control the driving motor 112 according to the determined route, so that the service terminal 10 moves according to the determined route. In this way, the service terminal 10 can provide a guidance service to community residents or visitors when patrolling in the community. The community resident or visitor inputs a destination address, for example, an X building X unit, by a voice means or a touch screen operation, and the service terminal 10 may determine a route and move according to the determined route. Meanwhile, the voice can be sent out through the loudspeaker to inform community residents or visitors to follow the voice. And the base platform 11 can be used for placing luggage articles, thereby bringing convenience to community residents or visitors.
The surface of the body 12 may also be provided with one or more infrared detectors or ultrasonic detectors, which are connected to the processor 121, and the processor 121 controls the driving motor 112 to stop operating when an obstacle is detected in front of the service terminal 10.
Optionally, the processor 121 is further configured to record a passed route, determine whether a route that is not passed by the service terminal 10 exists according to the map data, determine the preset route according to the non-passed route if the route is not passed by the service terminal, and acquire a default route as the preset route if the route is not passed by the service terminal.
Fig. 3 shows an artificial intelligence community internet of things service system, which includes the service terminal 10 and the community server 20, wherein the service terminal 10 is connected with the community server 20 in a wireless manner;
the service terminal 10 is configured to patrol in the community according to a preset route, capture an image in real time, and transmit the captured image and the captured position information to the community server 20;
the community server 20 is configured to receive the shot images and the shot position information, combine all the images according to the shot position information to generate a panoramic image at each position, and determine whether an abnormal event exists according to the panoramic image.
According to one embodiment, the determining whether there is an abnormal event comprises:
acquiring a standard image of the position according to the shooting position information, wherein the standard image is pre-stored in a database;
comparing the panoramic image corresponding to the shooting position information with the standard image, specifically comparing the panoramic image with the objects in the standard image one by one, calculating the difference degree and identifying inconsistent objects in the panoramic image;
and judging whether an abnormal event exists according to the comparison result, including comparing the difference degree with a preset threshold value, if so, determining that the abnormal event exists, and displaying the panoramic image of the identified inconsistent object through a screen.
According to another embodiment, the determining whether an exception event exists comprises:
acquiring a personnel image in the panoramic image;
determining personnel characteristic information through face recognition and/or posture recognition;
comparing the personnel characteristic information with pre-stored community personnel characteristic information to determine personnel identity; the personnel identities include community residents, visitors, and the like.
And judging whether an abnormal event exists according to the personnel identity, for example, if the personnel identity cannot be determined after comparison, determining that the abnormal event exists, identifying the personnel in the panoramic image, and displaying the personnel through a screen.
Further, if an abnormal event exists, alarm information can be sent out to remind property management personnel to intervene in processing.
Further, the system further includes a cloud server 30, and the community server 20 transmits the panoramic image to the cloud server 30. The cloud server 30 performs intelligent analysis according to the panoramic image within a period of time, acquires the personnel action data of the community and sends the personnel action data to the community server 20; the community server 20 adjusts the preset route of the service terminal according to the personnel action data. By accumulating panoramic images for a period of time (for example, 6 months), big data of patrol of the community is obtained, and by constructing a neural network for machine learning, personnel action data of the community can be obtained, which can represent action tracks and coverage density of personnel in the community, and a regular activity route of each community resident. According to the data, the community server can adjust the preset route of the service terminal, and patrol times of the region with rare personnel actions and patrol times of the region with intensive personnel actions are improved.
The intelligent analysis specifically includes data analysis and machine learning. The data analysis comprises artificial variable assignment and algorithm analysis, the artificial variable assignment and the algorithm analysis form a deep neural network, the algorithm analysis comprises probability theory algorithm, statistical algorithm, approximation theory algorithm, convex analysis algorithm, algorithm complexity theory and simulation prediction, the operation result of the data analysis is exported to machine learning, and the multilayer perceptron is utilized to simulate brain work to construct the deep neural network.
The machine learning comprises user habit research, a cognitive model and theoretical analysis, the machine learning executes auxiliary operation on data analysis, the machine learning can control optimization updating of algorithm analysis, the machine learning is used for carrying out user habit research and theoretical analysis on operation results of the data analysis, the operation results of the user habit research, the cognitive model and the theoretical analysis are used for feedback adjustment of operation of a deep neural network, simple characteristics are learned, complex characteristics are established, learning mapping is carried out and output, all levels can be optimized continuously in the training process, data processing is enabled to be more and more remarkable, and accuracy of the user behavior research is gradually improved. Wherein the user habit research is comprised of an auxiliary machine learning model, the user habit research is configured to assign a first score to the unlabeled observations, the cognitive model is comprised of a target machine learning model, the cognitive model is configured to assign a second score to the unlabeled observations, the user habit research and the cognitive model are from different machine learning model classes, the cognitive model is a limited capacity machine learning model, the theoretical analysis is comprised of a comparison component, the theoretical analysis is configured to compare the first score and the second score to determine a probability that the cognitive model has returned a false positive or a false negative result, the comparison component of the first score and the second score is further configured to perform a comparison comprising: determining a magnitude of a difference between the first score and the second score; when the magnitude is negative, determining that the target machine learning model has returned a false positive; and when the amplitude is positive, determining that the target machine learning model returns false negative, realizing machine learning, and gradually improving the intelligence when the service terminal of the artificial intelligent community internet of things is used for increasing along with the use duration.
The working embodiment of the terminal and the system of the invention is as follows:
and storing the community map data into a memory of the artificial intelligent community Internet of things service terminal, wherein the community map data comprises a shooting position and a preset route.
After patrol starts, a processor in the service terminal acquires the community map data from a memory, acquires the current position of the service terminal through a positioning device, and controls a driving motor according to a preset route to drive the service terminal to walk according to the preset route; when the service terminal reaches each shooting position, the motor and the camera are controlled to rotate, surrounding community scenes are shot to obtain images, the images are sent to a community server in a wireless mode through the communication module and continue to walk along a preset route, the whole community patrols and then returns to the starting point, the number of the patrolling times is increased by 1, the process is repeated continuously until the number of the patrolling times reaches a preset threshold value, and the patrolling is stopped. In order to reduce power consumption, the service terminal enters a low power consumption mode when the patrol is stopped. The service terminal can also be patrolled at regular time, a patrolling time schedule is stored in the memory, and the service terminal is started when the processor judges that the patrolling time is up.
If a person needs to guide service in the patrol process, the service terminal acquires a target address input by the person, determines a route according to community map data, and guides the person to the target address. At this time, the service terminal may return to the starting point along the route for guiding the service and continue to walk according to the preset route; or searching a route which is not passed by the service terminal according to the map data, adjusting the preset route according to the route which is not passed by the service terminal, and continuously patrolling according to the adjusted preset route, thereby reducing repeated paths.
The community server receives the shot images and the shot position information, combines all the images shot at the positions according to the shot position information, generates a panoramic image at each position, and judges whether an abnormal event exists according to the panoramic image. The method comprises the steps of comparing the panoramic image with objects in a standard image one by one, judging whether an abnormal event exists according to a comparison result, and/or determining personnel characteristic information in the image through facial recognition and/or posture recognition, comparing the personnel characteristic information with pre-stored community personnel characteristic information to determine personnel identity, judging whether the abnormal event exists according to the personnel identity, and sending alarm information to remind property management personnel to intervene in processing if the abnormal event exists.
The community server sends the panoramic image to the cloud server regularly, the cloud server carries out intelligent analysis according to the panoramic image within a period of time to obtain personnel action data of the community, such as action tracks and coverage density of personnel in the community and routine activity routes of residents of each community, the personnel action data are sent to the community server, and the community server adjusts the preset route of the service terminal according to the personnel action data to optimize patrol effect and improve patrol efficiency.
The artificial intelligent community internet of things service terminal provided by the embodiment of the invention can patrol in a community according to a preset route and shoot a scene picture in real time, so that outdoor artificial patrol is replaced, the full coverage of a patrol area and all weather of patrol time are guaranteed, the terminal is high in stability and can prevent wind and rain through an innovative structural design, and route guidance and carrying service can be provided for community residents and visitors during patrol. The embodiment of the invention also provides an artificial intelligence community internet of things service system comprising the service terminal, the community security guarantee function is realized through the cooperation of the community server and the service terminal, machine learning and artificial intelligence processing are further carried out through the cloud server, the working mode of the service terminal can be continuously adjusted and optimized, and the intelligence level of the community service is improved.
The points to be finally explained are: first, in the description of the present application, it should be noted that, unless otherwise specified and limited, the terms "mounted," "connected," and "connected" should be understood broadly, and may be a mechanical connection or an electrical connection, or a communication between two elements, and may be a direct connection, and "upper," "lower," "left," and "right" are only used to indicate a relative positional relationship, and when the absolute position of the object to be described is changed, the relative positional relationship may be changed;
secondly, the method comprises the following steps: in the drawings of the disclosed embodiments of the invention, only the structures related to the disclosed embodiments are referred to, other structures can refer to common designs, and the same embodiment and different embodiments of the invention can be combined with each other without conflict;
and finally: the above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that are within the spirit and principle of the present invention are intended to be included in the scope of the present invention.
Claims (7)
1. An artificial intelligence community internet of things service terminal is characterized by comprising a base platform, a machine body, a rotating assembly, a camera and a transparent cover body;
a traveling device is arranged below the base platform, a driving motor is arranged in the base platform and electrically connected with the traveling device, the traveling device can be driven to drive the service terminal to move, and the upper surface of the base platform is a plane for carrying objects;
the machine body is positioned above the base platform and is fixedly connected with the side surface of the base platform, so that the occupation of the upper surface space of the base platform can be reduced. The machine body comprises a rotating motor connected with the rotating assembly to drive the rotating assembly to rotate. A control panel and a power module are fixedly installed inside the machine body, and a processor, a memory, a positioning device and a communication module are integrated on the control panel; the processor is used for controlling the driving motor according to the map data stored in the memory and the positioning data acquired by the positioning device, so that the service terminal moves according to a preset route, controlling the rotating motor at a preset position, driving the rotating assembly to rotate, controlling the camera to shoot an image and sending the image and the current position information to the community server through the communication module;
the camera is positioned above the machine body and is connected with the machine body through the rotating assembly, and the camera is fixedly connected with the rotating assembly, can rotate 360 degrees in the horizontal direction and shoots images under the control of the processor;
the transparent cover body is positioned above the camera and fixedly connected with the machine body.
2. The service terminal according to claim 1, wherein the body has a speaker, a microphone and a touch screen on a surface thereof, and the processor is further configured to receive target address information input through the microphone and/or the touch screen, determine a route according to the map data and the positioning data, and control the driving motor according to the determined route, so that the service terminal moves according to the determined route.
3. The service terminal according to claim 2, wherein the processor is further configured to record a route that has passed, determine whether there is a route that the service terminal has not passed according to the map data, determine the preset route according to the route that has not passed if yes, and obtain a default route as the preset route if no.
4. An artificial intelligence community internet of things service system, which is characterized by comprising the service terminal and a community server according to any one of claims 1-3, wherein the service terminal is connected with the community server in a wireless mode;
the service terminal is used for patrolling in the community according to a preset route, shooting images in real time and transmitting the shot images and shooting position information to the community server;
the community server is used for receiving the shot images and the shot position information, combining the images according to the shot position information to generate a panoramic image of each position, and judging whether an abnormal event exists according to the panoramic image.
5. The system of claim 4, wherein the determining whether an exception event exists comprises:
acquiring a standard image of the position according to the shooting position information;
comparing the panoramic image corresponding to the shooting position information with the standard image;
and judging whether an abnormal event exists according to the comparison result.
6. The system of claim 4, wherein the determining whether an exception event exists comprises:
acquiring a personnel image in the panoramic image;
determining personnel characteristic information through face recognition and/or posture recognition;
comparing the personnel characteristic information with pre-stored community personnel characteristic information to determine personnel identity;
and judging whether an abnormal event exists according to the personnel identity.
7. The system of claim 6, further comprising a cloud server, wherein the community server sends the panoramic image to the cloud server;
the cloud server performs intelligent analysis according to the panoramic image within a period of time, acquires personnel action data of the community and sends the personnel action data to the community server;
and the community server adjusts the preset route of the service terminal according to the personnel action data.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201911360937.9A CN111145065A (en) | 2019-12-25 | 2019-12-25 | Artificial intelligence community internet of things service terminal and system |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201911360937.9A CN111145065A (en) | 2019-12-25 | 2019-12-25 | Artificial intelligence community internet of things service terminal and system |
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| CN111145065A true CN111145065A (en) | 2020-05-12 |
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| CN201911360937.9A Pending CN111145065A (en) | 2019-12-25 | 2019-12-25 | Artificial intelligence community internet of things service terminal and system |
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