CN115277795B - Data processing system and method based on urban digitization - Google Patents

Data processing system and method based on urban digitization Download PDF

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CN115277795B
CN115277795B CN202211185975.7A CN202211185975A CN115277795B CN 115277795 B CN115277795 B CN 115277795B CN 202211185975 A CN202211185975 A CN 202211185975A CN 115277795 B CN115277795 B CN 115277795B
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CN115277795A (en
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王帅
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Sichuan Chuanxi Data Industry Co ltd
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    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
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Abstract

A data processing system and method based on urban digitization, relate to the digitized data processing system technical field of the city, a data processing system based on urban digitization, form the digitized data processing system of the city by classified server system, fixed monitoring system of the city, unmanned aerial vehicle and Beidou positioning system; a data processing method based on city digitization comprises the following steps: a first step of collecting a video having three-dimensional coordinates; secondly, generating a three-dimensional correction map of the city, collecting videos with three-dimensional coordinates through a city fixed monitoring system and an unmanned aerial vehicle system in a one-to-one mapping mode of the three-dimensional coordinates by taking the three-dimensional satellite map of the city as a blueprint, and correcting the three-dimensional satellite map of the city in real time by adopting an AI (artificial intelligence) model through a classification server system; thirdly, the classification server system intelligently judges the videos by adopting an AI model and monitors abnormal conditions of the city; and step four, dynamically tracking and verifying the abnormal conditions of the city.

Description

Data processing system and method based on city digitization
Technical Field
The invention relates to the technical field of urban digital data processing systems, in particular to a data processing system and a method based on urban digital.
Background
An important task of city management is event management, including daily events and emergencies, especially emergencies, which directly considers emergency handling capability of city decision makers. Once natural disasters, epidemic diseases, traffic accidents, public security problems, group events, terrorist events and the like occur, efficient coordination of departments such as public security, city management, traffic, hospitals and the like is needed. However, most of the existing information systems are built by each department, and the systems cannot be interconnected, so that data collection and analysis of events cannot be performed comprehensively and accurately, and in this case, a decision maker in a city cannot obtain enough basis for decision making, and cannot command each department to cooperate through a unified information platform. A unified informatization platform is lacked, and comprehensive perception, monitoring and emergency linkage of urban states cannot be realized; the urban information resources are excessively dispersed, and data cannot be shared.
Disclosure of Invention
Aiming at the problems, the invention aims to provide a data processing system and a method based on urban digitization, wherein the data processing system is composed of a classification server system, an urban fixed monitoring system, an unmanned aerial vehicle and a Beidou positioning system, and is used for intelligently processing urban abnormal conditions in real time; a data processing system and method based on city digitization comprises: a data processing system and a data processing method based on city digitization are provided.
The technical solution for realizing the purpose of the invention is as follows:
a data processing system based on city digitization comprises a classification server system, a city fixed monitoring system, an unmanned aerial vehicle system and a Beidou positioning system;
the networking of the city fixed monitoring system and the classification server system is realized in a wired network mode; the networking of an unmanned aerial vehicle system and a city fixed monitoring system is realized in a wireless network mode; the Beidou positioning system provides a positioning function for the urban fixed monitoring system and the unmanned aerial vehicle system;
a classification server system is composed of a distributed batch processing engine server, a distributed stream processing engine server, a comprehensive retrieval server, a distributed database server, a distributed image database server, a transaction database server and an application server;
the fixed monitoring device is composed of a fixed support, a first camera, a first positioning chip, a first 5G communication module, a first micro CPU, a first micro mainboard and a wired network interface;
in a city, all fixed monitoring devices are networked to form a fixed city monitoring system, and the fixed city monitoring system collects video information and transmits the video information to a classification server system for processing;
the unmanned aerial vehicle system consists of an unmanned aerial vehicle, a second positioning chip, a second camera, a second 5G communication module, a second micro CPU, a second micro mainboard and a battery pack;
the Beidou positioning system positions the first positioning chip and the second positioning chip;
set up unmanned aerial vehicle on fixed monitoring device top, city fixed monitoring system control unmanned aerial vehicle system monitors and unmanned aerial vehicle returns unmanned aerial vehicle hangar, realizes the combination of moving and quiet of control, reaches the comprehensiveness of control.
A data processing method based on city digitization, on the basis of a data processing system based on city digitization, the concrete steps of realizing the method are:
the method comprises the following steps that firstly, a video with three-dimensional coordinates is collected, a Beidou positioning system positions the position of a positioning chip, three-dimensional coordinate information is provided for a city fixed monitoring system and an unmanned aerial vehicle system to collect the video, and the video with the three-dimensional coordinates is generated;
secondly, generating a three-dimensional correction map of the city, collecting videos with three-dimensional coordinates through a city fixed monitoring system and an unmanned aerial vehicle system in a one-to-one mapping mode of the three-dimensional coordinates by taking the three-dimensional satellite map of the city as a blueprint, and correcting the three-dimensional satellite map of the city in real time by adopting an AI (artificial intelligence) model through a classification server system;
thirdly, the classification server system adopts an AI model to intelligently judge the video with three-dimensional coordinates and monitor the abnormal conditions of the city;
preferably, the actions of the AI model include: image recognition, word processing, knowledge graph, decision analysis, prediction analysis, feature engineering, neural network, model learning, data processing, computing power monitoring and task allocation; specific types of AI models include: setting an image recognition AI model, a word processing AI model, a knowledge map AI model, a decision analysis AI model, a prediction analysis AI model, a feature engineering AI model, a neural network AI model, a model learning AI model and a processing data AI model to a classification server system; setting a calculation capacity monitoring and task allocation AI model to a management server;
and step four, dynamically tracking and verifying the abnormal conditions of the city, and starting emergency measures of the abnormal conditions of the city.
Compared with the prior art, the invention has the beneficial effects that:
(1) A set of urban digital unified data processing system is established, the comprehensiveness, integrity and timeliness of urban digital are improved, and urban abnormal conditions are intelligently processed in real time;
(2) The comprehensive perception, monitoring and emergency linkage of the urban state are realized;
(3) The city information resource is unified and centralized, the data is shared, and the safety and the stability of the data are improved;
(4) The processing efficiency of information security risk has been improved, the material resources of using manpower sparingly improve the ability and the efficiency of commander's dispatch, based on safe big data's real-time supervision and analysis, through the technological support and the linkage of safe operation of flow-process completion information security's technical guarantee and management, intelligent agent manual analysis has reduced the input of manpower and materials, realizes the intensification of information security height, has improved the city management level.
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In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
FIG. 1 is a schematic flow diagram of a data processing system based on city digitization;
FIG. 2 is a cross-sectional view of the bottom of a drone of a data processing system based on urban digitization;
FIG. 3 is a cross-sectional view of a drone hangar based on a city-digitized data processing system;
FIG. 4 is a schematic diagram of a photodiode array board at the bottom of a drone of a city-based digital data processing system;
fig. 5 is a flow chart of a data processing method based on city digitization.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be described clearly and completely with reference to the accompanying drawings. It is to be understood that the embodiments described are only a few embodiments of the present invention, and not all embodiments.
Thus, the following detailed description of the embodiments of the invention is not intended to limit the scope of the invention as claimed, but is merely representative of some embodiments of the invention. All other embodiments, which can be obtained by a person skilled in the art without making any creative effort based on the embodiments in the present invention, belong to the protection scope of the present invention.
It should be noted that the embodiments of the present invention and the features and technical solutions thereof may be combined with each other without conflict.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined or explained in subsequent figures.
The present invention will be described in further detail with reference to examples.
Example 1:
as shown in fig. 1 to 4, a data processing system based on urban digitization is composed of a classification server system, an urban fixed monitoring system, an unmanned aerial vehicle system and a Beidou positioning system;
the networking of a city fixed monitoring system and a classification server system is realized in a wired network mode; the networking of an unmanned aerial vehicle system and a city fixed monitoring system is realized in a wireless network mode; the Beidou positioning system provides a positioning function for the urban fixed monitoring system and the unmanned aerial vehicle system;
a classification server system is composed of a distributed batch processing engine server, a distributed stream processing engine server, a comprehensive retrieval server, a distributed database server, a distributed image database server, a transaction database server and an application server;
the fixed monitoring device is composed of a fixed support, a first camera, a first positioning chip, a first 5G communication module, a first micro CPU, a first micro mainboard and a wired network interface;
preferably, the first positioning chip, the first 5G communication module, the first micro CPU and the wired network interface are integrated on a first micro mainboard, and a data line of the first camera is connected to the first micro mainboard; the first camera has a rotation function;
in a city, all fixed monitoring devices are networked to form a fixed city monitoring system, and the fixed city monitoring system collects video information and transmits the video information to a classification server system for processing;
an unmanned aerial vehicle system is formed by an unmanned aerial vehicle, a second positioning chip, a second camera, a second 5G communication module, a second micro CPU and a second micro main board;
preferably, the second positioning chip, the second 5G communication module and the second micro CPU are integrated on a second micro main board, a data line of a second camera is connected to the second micro main board, the second camera is arranged on the outer side of the unmanned aerial vehicle body, and the second camera has a rotating function;
the Beidou positioning system positions the first positioning chip and the second positioning chip;
set up unmanned aerial vehicle on fixed monitoring device top, city fixed monitoring system control unmanned aerial vehicle system monitors and unmanned aerial vehicle returns unmanned aerial vehicle hangar, realizes the combination of moving and quiet of control, reaches the comprehensiveness of control.
In order to better achieve the purpose of the invention, it is further preferable that the classification server systems are arranged at the same place, so as to ensure the integrity of the functions of the classification server systems at the same place; the multiple sets of classification server systems are arranged in different places, so that the situation that one set of classification server system cannot work due to extreme conditions such as power failure in an area and network failure in the area is prevented, the rest multiple sets of classification server systems can be immediately subjected to position supplementing to take over work, and the stability and the safety of the operation of the classification server system are ensured; data are mutually backed up among a plurality of sets of classification server systems, so that the safety and the integrity of the data are ensured;
in order to better achieve the purpose of the invention, it is further preferable that, in order to collect all big data of a city into a classification server system, the classification server is built into a data processing platform, a data protection system is arranged in the classification server system, and the data protection system encrypts and decrypts the data, monitors the output and input of the data, and guarantees the integrity of the data; division and cooperation of the classification server system: the engine model of the distributed batch processing engine server adopts a MapReduce model for parallel operation of the classified big data of the city, and the MapReduce model comprises the following steps: map stage and Reduce stage, the Map stage comprises a certain number of Map tasks, including: input data format analysis, input data processing, data grouping, the Reduce stage comprises a certain number of Reduce tasks, including: remote copying of data, sorting of the data according to keys, data processing Reducer and data output format; the engine model of the distributed stream processing engine server adopts a Flink model, is used for stream and batch processing of classified big data of cities, is used for performing stateful calculation on unbounded and bounded data streams, and is used for real-time data acquisition and display of a sensor, display alarm, transportation, real-time alarm and hot event news; the comprehensive retrieval server retrieves data information on a distributed database server, a distributed image database server, a transaction database server, an application server and the Internet, and can span different operating systems and application systems; the distributed database server disperses the data and programs to a plurality of servers and stores the big data of the city; a distributed image database server distributes a user's figure to a plurality of servers, including: storing a user tag calculation result, a user crowd calculation result, a user feature library calculation result, tag metadata, monitoring related data, data exported to a service system and online interface real-time calling class data; the transaction database server manages all transaction commands, a complete transaction command is taken as an integral body which can not be divided, and the complete transaction command submits or cancels an operation request to the classification server system together, and is executed or not executed; the application server provides access to the business logic of the classification server system for use by the client application program;
in order to better achieve the purpose of the invention, it is further preferable that a management server for computing power monitoring and task allocation is provided, the computing power and the computing power use condition of the classification server system are monitored, and the tasks are allocated to the classification server system according to the computing power and the computing power use condition of the classification server system, so as to improve the use efficiency of the classification server system; through an AI model for computing force monitoring, computing force of a distributed batch processing engine server, a distributed stream processing engine server, a comprehensive retrieval server, a distributed database server, a distributed image database server, a transaction database server and an application server is monitored, and the computing force comprises the following steps: the calculation force size, the calculation force use condition and the calculation force vacancy condition; the task allocation AI model allocates tasks to a distributed batch processing engine server, a distributed stream processing engine server, a comprehensive retrieval server, a distributed database server, a distributed image database server, a transaction database server and an application server according to computing power data provided by the computing power monitoring AI model;
in order to better achieve the purpose of the invention, it is further preferable that the Beidou positioning system positions the three-dimensional coordinate of the fixed monitoring device through a first positioning chip of the fixed monitoring device, the three-dimensional coordinate of the first positioning chip is loaded into the video shot by the first camera through the calculation of the first miniature CPU, and so on, from the fixed monitoring device to the urban fixed monitoring system, the urban fixed monitoring system collects the video with the three-dimensional coordinate and transmits the video to the classification server system through a wired network, and the classification server system intelligently processes the video shot by the first camera; the classification server system sends a control signal to the city fixed monitoring system through a wired network, the control signal controls the first camera to rotate to shoot an angle, the control signal controls the first 5G communication module to communicate with the second 5G communication module or other 5G devices, and the other 5G devices comprise mobile phones; the Beidou positioning system positions the three-dimensional coordinate of the unmanned aerial vehicle through a second positioning chip of the unmanned aerial vehicle system, the three-dimensional coordinate of the second positioning chip is loaded into a video shot by a second camera through the calculation of a second micro CPU, the unmanned aerial vehicle system collects the video with the three-dimensional coordinate, the video is communicated with a second 5G communication module through a first 5G communication module and is transmitted to the urban fixed monitoring system through a wireless network, and the urban fixed monitoring system transmits the video with the three-dimensional coordinate to the classification server system through a wired network; the classification server system sends a control signal, controls the flight track of the unmanned aerial vehicle and the shooting angle of the first camera of the unmanned aerial vehicle system, the control signal is sent to the unmanned aerial vehicle system through the city fixed monitoring system and the wireless network, and the wireless network is formed by the first 5G communication module and the second 5G communication module. Compared with the prior art, the invention has the beneficial effects that: the fixed monitored control system in city is the fixed monitoring network in city, has extensive distribution, can monitor the vast majority region in city, and the unmanned aerial vehicle system can supply the dead angle that the fixed monitored control system in city can not monitor and closely monitor flexibly, and the unmanned aerial vehicle system has extended the fixed monitored control system's in city monitoring range.
In order to better achieve the object of the present invention, it is further preferable that the bottom of the unmanned aerial vehicle is provided with a reverse circular truncated cone 1, a charging interface is arranged at the center position of the bottom surface 2 of the reverse circular truncated cone, the reverse circular truncated cone 1 has a rotation function, the bottom surface 2 of the reverse circular truncated cone is provided with a photodiode array plate 31, the photodiode array plate 31 is provided with a first annular photodiode array 33 and a second annular photodiode array 32, the first annular photodiode array 33 and the second annular photodiode array 32 are connected to the second miniature main board, the position relationship between the first annular photodiode array 33 and the second annular photodiode array 32 is determined by the interface connected to the second miniature main board and is connected in a one-to-one correspondence relationship, and the second miniature CPU can determine the positions of the first annular photodiode array 33 and the second annular photodiode array 32 by calculation; an unmanned aerial vehicle hangar is arranged at the top end of the fixed monitoring device and consists of a cylinder space 11 and an inverted circular truncated cone space 14, the outer wall 12 of the cylinder space and the outer wall 13 of the inverted circular truncated cone space have the functions of water prevention and unmanned aerial vehicle protection, a micro laser device 15 and a charging interface are arranged in the central area of the bottom of the inverted circular truncated cone space 14, and laser emitted by the micro laser device 15 is vertically upward; the Beidou positioning system and the urban fixed monitoring system position the three-dimensional space of the unmanned aerial vehicle system, navigate the unmanned aerial vehicle, the unmanned aerial vehicle flies right above the unmanned aerial vehicle hangar, the inverted round table 1 rotates, the miniature laser device 15 emits laser, the first annular photodiode array 33 and the second annular photodiode array 32 are irradiated by the laser, the photodiode is irradiated by the laser to generate high level, the high level is transmitted to the second miniature CPU, the photodiode is irradiated by natural light to generate low level, the outer layer of the photodiode is provided with a layer of reflective film, the intensity of the laser is reduced, the natural light is difficult to enter the light receiving surface of the photodiode, and the purpose is to eliminate the interference of non-laser; the second micro CPU can determine the positions of the first annular photosensitive diode array 33 and the second annular photosensitive diode array 32, the inverse round table 1 rotates, the first annular photosensitive diode array 33 and the second annular photosensitive diode array 32 can sense the position of the laser emitted by the micro laser device 15, and the faster the inverse round table 1 rotates, the probability that the laser escapes from the gap between the first annular photosensitive diode array 33 and the second annular photosensitive diode array 32 can be reduced; unmanned aerial vehicle is at the flight in-process, and photosensitive diode array board 31 will the laser locking of miniature laser device 15 transmission is in first annular photosensitive diode array 33 and second annular photosensitive diode array 32 within range, and unmanned aerial vehicle begins to descend, in the round platform space 14 is descended to the round platform of falling 1, unmanned aerial vehicle stops flying, under the action of gravity, 14 central points in round platform space are put to the automatic landing of round platform of falling 1, and the unmanned aerial vehicle hangar charges to unmanned aerial vehicle. Compared with the prior art, the invention has the beneficial effects that: the position of the unmanned aerial vehicle is accurately controlled, so that the unmanned aerial vehicle can safely return to the unmanned aerial vehicle warehouse, and the accurate exit and safe return of the unmanned aerial vehicle are realized; simultaneously, the unmanned aerial vehicle can be automatically charged.
Example 2:
as shown in fig. 5, the present invention provides a data processing method based on city digitization, and the method comprises the following specific steps:
acquiring a video with three-dimensional coordinates, positioning the position of a positioning chip by a Beidou positioning system, providing three-dimensional coordinate information for an urban fixed monitoring system and an unmanned aerial vehicle system to acquire the video, and generating the video with the three-dimensional coordinates;
generating a three-dimensional correction map of the city, collecting videos with three-dimensional coordinates through a city fixed monitoring system and an unmanned aerial vehicle system in a one-to-one mapping mode of the three-dimensional coordinates by taking the three-dimensional satellite map of the city as a blue book, and correcting the three-dimensional satellite map of the city in real time by adopting an AI (artificial intelligence) model through a classification server system;
step three, the classification server system adopts an AI model to intelligently judge videos with three-dimensional coordinates and monitor abnormal conditions of cities;
and step four, dynamically tracking and verifying the abnormal conditions of the city, and starting emergency measures of the abnormal conditions of the city.
The first step comprises the steps of collecting a video with three-dimensional coordinates, positioning the position of the positioning chip by a Beidou positioning system, providing three-dimensional coordinate information for the video collected by a city fixed monitoring system and an unmanned aerial vehicle system, and generating the video with the three-dimensional coordinates; the fixed monitored control system in city includes: urban street monitoring systems, digital remote monitoring systems, urban fire-fighting remote monitoring systems, urban emergency systems, and the like; the video information collected by the urban fixed monitoring system comprises buildings, streets, natural landscapes, people, objects, vehicles and the like; the unmanned aerial vehicle system is in a mobile mode, and the collected video information comprises buildings, streets, natural landscapes, people, objects, vehicles and the like; the city fixed monitoring system monitors twenty-four hours a day, collects videos with three-dimensional coordinates and transmits the videos to the classification server system in a wired network mode, and the classification server system intelligently processes the videos shot by the first camera; in the area that fixed monitored control system in city can't monitor, adopt unmanned aerial vehicle system to monitor with the mode that removes, unmanned aerial vehicle system gathers the video that has three-dimensional coordinate, the transmission path of the video of three-dimensional coordinate is: the first 5G communication module is communicated with the second 5G communication module and is transmitted to the urban fixed monitoring system in a wireless network mode, and the urban fixed monitoring system is transmitted to the classification server system in a wired network mode; according to the concrete demand in city, distribute unmanned aerial vehicle system in the city.
In order to better realize the purpose of the invention, the second step: generating a three-dimensional correction map of the city, taking the three-dimensional satellite map of the city as a blueprint, acquiring videos with three-dimensional coordinates through a city fixed monitoring system and an unmanned aerial vehicle system in a one-to-one mapping mode of the three-dimensional coordinates, and correcting the three-dimensional satellite map of the city in real time by adopting an AI (artificial intelligence) model through a classification server system; extracting the frame picture of the video with the three-dimensional coordinates, extracting the characteristics and the three-dimensional coordinates of buildings, streets, natural landscapes, people, objects and vehicles through a convolutional neural network, mapping the characteristics and the three-dimensional coordinates to a three-dimensional satellite map of a city according to a one-to-one corresponding coordinate relationship, and generating a three-dimensional correction map of the city, wherein the correction is carried out in real time; it should be noted that, the correction of the three-dimensional map of the city is beneficial to improving the navigation accuracy, providing predictable information for dynamically tracking and verifying the abnormal conditions of the city, and improving the response speed and accuracy of coping with the abnormal conditions of the city.
In order to better realize the aim of the invention, the third step is as follows: the classification server system adopts an AI model to intelligently judge videos with three-dimensional coordinates and monitor abnormal conditions of cities; training a knowledge map AI model, a model learning AI model, a neural network AI model, an image recognition AI model, a decision analysis AI model, a prediction analysis AI model, a feature engineering AI model, a processed data AI model and a word processing AI model of the classification server system through a large amount of video information; it should be noted that, continuously training the AI model, improving the intelligence level of the classification server system, and determining and detecting the abnormal conditions of the city, the abnormal conditions of the city include: traffic accidents, fires, public security problems, group events, terrorist events.
In order to better realize the aim of the invention, the step four is as follows: dynamically tracking and verifying the abnormal conditions of the city, and starting emergency measures of the abnormal conditions of the city.
By combining the steps, taking traffic accidents as an example, the urban fixed monitoring system acquires videos with three-dimensional coordinates, the classification server system adopts an AI model, and the videos with three-dimensional coordinates are intelligently judged, and the specific judgment flow is as follows: extracting the characteristics of a video with three-dimensional coordinates by adopting a neural network AI model, intelligently judging whether the video is a traffic accident or not by using a knowledge map AI model and an image recognition AI model, and starting emergency measures by using a prediction analysis AI model and a decision analysis AI model if the video is the traffic accident; if the traffic accident cannot be accurately judged, starting an unmanned aerial vehicle system by the prediction analysis AI model and the decision analysis AI model, shooting videos at multiple angles by the unmanned aerial vehicle system in a moving mode, and carrying out intelligent judgment by using the knowledge map AI model and the image recognition AI model to verify the traffic accident; if the traffic accident that people are injured is not involved, the prediction analysis AI model and the decision analysis AI model start emergency measures, the classification server system sends a video with three-dimensional coordinates of the traffic accident to a traffic department, the classification server system adjusts a signal lamp of a traffic accident road section to shunt vehicles, the classification server system and the urban fixed monitoring system navigate law enforcement vehicles for processing the traffic accident, and traffic lights on the driving path of the law enforcement vehicles for processing the traffic accident are controlled by the classification server system to reach the traffic accident site at the highest speed; if a traffic accident that people are injured is involved, emergency measures are started by the prediction analysis AI model and the decision analysis AI model, the classification server system sends videos with three-dimensional coordinates of the traffic accident to a traffic department and a 120 first-aid system, the classification server system adjusts signal lamps of a traffic accident road section to shunt vehicles, the classification server system and the urban fixed monitoring system navigate law enforcement vehicles and 120 first-aid vehicles for processing the traffic accident, and traffic lamps on the traveling paths of the law enforcement vehicles and the 120 first-aid vehicles for processing the traffic accident are controlled by the classification server system to reach the traffic accident site at the highest speed.
By combining the steps, taking the fire as an example, the urban fixed monitoring system acquires a video with three-dimensional coordinates, the classification server system adopts an AI model, and the video with three-dimensional coordinates is intelligently judged, and the specific judgment flow is as follows: extracting the characteristics of a video with three-dimensional coordinates by adopting a neural network AI model, intelligently judging by using a knowledge map AI model and an image recognition AI model, judging whether a fire disaster occurs or not, and starting emergency measures by using a prediction analysis AI model and a decision analysis AI model if the fire disaster occurs can be accurately judged; if the fire disaster can not be accurately judged, starting an unmanned aerial vehicle system by the prediction analysis AI model and the decision analysis AI model, flying to an accident point suspected of the fire disaster, shooting videos at multiple angles by the unmanned aerial vehicle system in a moving mode, and intelligently judging whether the fire disaster occurs by using the knowledge map AI model and the image recognition AI model to verify; if a fire disaster occurs, the prediction analysis AI model and the decision analysis AI model start emergency measures, the classification server system sends a video with three-dimensional coordinates of the fire disaster to a fire department, the classification server system and the urban fixed monitoring system navigate fire fighting vehicles, and traffic lights on the driving path of the fire fighting vehicles are controlled by the classification server system to reach a fire scene at the highest speed.
The above embodiments are only used to illustrate the present invention and not to limit the technical solutions described in the present invention, and although the present invention has been described in detail in the present specification with reference to the above embodiments, the present invention is not limited to the above specific embodiments, and therefore, any modifications or equivalents of the present invention may be made; all such modifications and variations are intended to be included herein within the scope of this disclosure and the appended claims.

Claims (8)

1. A data processing system based on city digitization is characterized in that the data processing system is composed of a classification server system, a city fixed monitoring system, an unmanned aerial vehicle system and a Beidou positioning system;
the networking of a city fixed monitoring system and a classification server system is realized in a wired network mode; the networking of an unmanned aerial vehicle system and a city fixed monitoring system is realized in a wireless network mode; the Beidou positioning system provides a positioning function for the urban fixed monitoring system and the unmanned aerial vehicle system;
the fixed monitoring device is composed of a fixed support, a first camera, a first positioning chip, a first 5G communication module, a first micro CPU, a first micro mainboard and a wired network interface; the unmanned aerial vehicle is arranged at the top end of the fixed monitoring device, the city fixed monitoring system controls the unmanned aerial vehicle system to monitor and the unmanned aerial vehicle returns to the unmanned aerial vehicle hangar, so that the dynamic and static combination of monitoring is realized, and the monitoring comprehensiveness is achieved;
the inverted round table (1) is arranged at the bottom of the unmanned aerial vehicle, a charging interface is arranged at the center of the bottom surface (2) of the inverted round table, the inverted round table (1) has a rotating function, a photosensitive diode array plate (31) is arranged on the bottom surface (2) of the inverted round table, and a first annular photosensitive diode array (33) and a second annular photosensitive diode array (32) are connected to a second miniature main board; an unmanned aerial vehicle hangar is arranged at the top end of the fixed monitoring device and consists of a cylinder space (11) and an inverted circular truncated cone space (14), a micro laser device (15) and a charging interface are arranged in the central area of the bottom of the inverted circular truncated cone space (14), and laser emitted by the micro laser device (15) is vertically upward; the Beidou positioning system and the urban fixed monitoring system are used for positioning the three-dimensional space of an unmanned aerial vehicle system and navigating the unmanned aerial vehicle, the unmanned aerial vehicle flies right above an unmanned aerial vehicle hangar, the inverted round table (1) rotates, the miniature laser device (15) emits laser, the first annular photosensitive diode array (33) and the second annular photosensitive diode array (32) are irradiated by the laser, the photosensitive diodes are irradiated by the laser to generate high level and transmit the high level to the second miniature CPU, the photosensitive diodes are irradiated by natural light to generate low level, a layer of reflective film is arranged on the outer layer of the photosensitive diodes to reduce the intensity of the laser, the natural light is difficult to enter the illuminated surface of the photosensitive diodes, and the aim is to eliminate the interference of non-laser; the second micro CPU can determine the positions of the first annular photosensitive diode array (33) and the second annular photosensitive diode array (32), and the inverted round table (1) rotates to enable the first annular photosensitive diode array (33) and the second annular photosensitive diode array (32) to sense the position of the laser emitted by the micro laser device (15); unmanned aerial vehicle is at the flight in-process, and photosensitive diode array board (31) will the laser locking of miniature laser device (15) transmission is in first annular photosensitive diode array (33) and second annular photosensitive diode array (32) within range, and unmanned aerial vehicle begins to descend, in the round platform space of falling (14) is descended in round platform (1), unmanned aerial vehicle stops the flight, under the action of gravity, round platform space of falling (14) central point are put in automatic landing of round platform (1), and the unmanned aerial vehicle hangar charges unmanned aerial vehicle.
2. The data processing system based on city digitization according to claim 1, wherein: the classification server system is composed of a distributed batch processing engine server, a distributed stream processing engine server, a comprehensive retrieval server, a distributed database server, a distributed image database server, a transaction database server and an application server.
3. The city digitization-based data processing system of claim 1, wherein: integrating a first positioning chip, a first 5G communication module, a first micro CPU and a wired network interface onto a first micro mainboard, wherein a data line of a first camera is connected to the first micro mainboard; the first camera has a rotation function.
4. The data processing system based on city digitization according to claim 1, wherein: in a city, all fixed monitoring devices are networked to form a city fixed monitoring system, and the city fixed monitoring system collects video information and transmits the video information to the classification server system for processing.
5. The data processing system based on city digitization according to claim 1, wherein: constitute unmanned aerial vehicle system by unmanned aerial vehicle, second location chip, second camera, second 5G communication module, the miniature CPU of second and the miniature main board group of second.
6. The city digitization-based data processing system of claim 5, wherein: with second location chip, second 5G communication module and the miniature CPU integration of second to the miniature mainboard of second, on the data line of second camera was connected to the miniature mainboard of second, the second camera setting was in unmanned aerial vehicle's the fuselage outside, and the second camera has the rotation function.
7. A data processing method based on city digitization is characterized in that the method is realized by the following specific steps:
the method comprises the following steps that a video with three-dimensional coordinates is collected, a Beidou positioning system positions and positions a positioning chip, three-dimensional coordinate information is provided for a city fixed monitoring system and an unmanned aerial vehicle system to collect the video, and the video with the three-dimensional coordinates is generated; the video information collected by the urban fixed monitoring system comprises buildings, streets, natural landscapes, people, objects, vehicles and the like; the unmanned aerial vehicle system is in a mobile mode, and the collected video information comprises buildings, streets, natural landscapes, people, objects, vehicles and the like; the urban fixed monitoring system monitors twenty-four hours a day and collects a video with three-dimensional coordinates;
secondly, generating a three-dimensional correction map of the city, collecting videos with three-dimensional coordinates through a city fixed monitoring system and an unmanned aerial vehicle system in a one-to-one mapping mode of the three-dimensional coordinates by taking the three-dimensional satellite map of the city as a blueprint, and correcting the three-dimensional satellite map of the city in real time by adopting an AI (artificial intelligence) model through a classification server system;
thirdly, the classification server system adopts an AI model to intelligently judge videos with three-dimensional coordinates and monitor abnormal conditions of cities;
and step four, dynamically tracking and verifying the abnormal conditions of the city, and starting emergency measures of the abnormal conditions of the city.
8. The data processing method based on city digitization according to claim 7, wherein: in a third step, the actions of the AI model include: image recognition, word processing, knowledge graph, decision analysis, prediction analysis, feature engineering, neural network, model learning, data processing, computing power monitoring and task allocation.
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