CN115457471A - Intelligent park monitoring method and system - Google Patents

Intelligent park monitoring method and system Download PDF

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Publication number
CN115457471A
CN115457471A CN202211116496.XA CN202211116496A CN115457471A CN 115457471 A CN115457471 A CN 115457471A CN 202211116496 A CN202211116496 A CN 202211116496A CN 115457471 A CN115457471 A CN 115457471A
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data
park
information
intelligent
monitoring
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CN202211116496.XA
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Chinese (zh)
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秦浩
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Lingtu Data Hangzhou Co ltd
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Lingtu Data Hangzhou Co ltd
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Priority to CN202211116496.XA priority Critical patent/CN115457471A/en
Publication of CN115457471A publication Critical patent/CN115457471A/en
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/50Context or environment of the image
    • G06V20/52Surveillance or monitoring of activities, e.g. for recognising suspicious objects
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T17/00Three dimensional [3D] modelling, e.g. data description of 3D objects
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/70Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/764Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/94Hardware or software architectures specially adapted for image or video understanding
    • G06V10/95Hardware or software architectures specially adapted for image or video understanding structured as a network, e.g. client-server architectures
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/40Scenes; Scene-specific elements in video content
    • G06V20/41Higher-level, semantic clustering, classification or understanding of video scenes, e.g. detection, labelling or Markovian modelling of sport events or news items
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16YINFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
    • G16Y20/00Information sensed or collected by the things
    • G16Y20/10Information sensed or collected by the things relating to the environment, e.g. temperature; relating to location
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16YINFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
    • G16Y30/00IoT infrastructure
    • G16Y30/10Security thereof
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16YINFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
    • G16Y40/00IoT characterised by the purpose of the information processing
    • G16Y40/10Detection; Monitoring
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16YINFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
    • G16Y40/00IoT characterised by the purpose of the information processing
    • G16Y40/20Analytics; Diagnosis
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16YINFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
    • G16Y40/00IoT characterised by the purpose of the information processing
    • G16Y40/30Control
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16YINFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
    • G16Y40/00IoT characterised by the purpose of the information processing
    • G16Y40/50Safety; Security of things, users, data or systems
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N7/00Television systems
    • H04N7/18Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast

Abstract

The application provides a smart park monitoring method and system, and relates to the field of monitoring. A smart park monitoring method includes: acquiring monitoring video information, real-time work information of park equipment and environment information in an intelligent park; receiving video data in monitoring video information in an intelligent park, and processing the video data to obtain ultrahigh-definition video data; carrying out layered sampling on facility operation data in the acquired real-time working information of the intelligent park equipment, and carrying out classification processing on the layered sampling data; and analyzing the video data, the classified facility operation data and the environment data of each district in the district environment information, and dividing the fire-fighting grade of the fire-fighting facilities in the district. The change of emergency conditions in the park can be known in real time, certain danger is brought, safety is improved, and the park intelligent monitoring system is more intelligent. This application has still provided a wisdom garden monitored control system in addition.

Description

Intelligent park monitoring method and system
Technical Field
The application relates to the technical field of monitoring, in particular to a smart park monitoring method and system.
Background
The enterprise park is a modern industry division cooperative production area which is suitable for market competition and industry upgrading and is formed by dividing a region by a national or regional government through an administrative means according to the internal requirements of economic development per se, gathering various production elements, scientifically integrating the production elements in a certain space range, improving the intensive strength of industrialization, highlighting industrial characteristics and optimizing functional layout.
The enterprise park is an area where a certain range of land is defined and planned in advance so as to be specially used for setting and using industrial facilities. The enterprise campus is generally set up to promote local economic development. The enterprise park has many uses, and can be used by high-tech industries, even research institutions and academic institutions, besides general industrial facilities such as factories and factories. If properly developed, an enterprise park usually develops into an industrial community
Make people can only watch the real-time video of enterprise garden in the monitored control room among the monitored control system of current enterprise garden, can't carry out remote monitoring, when taking place emergency, personnel need to go into the field and need a period of time, can't know in real time whether the situation changes, have brought certain danger, simultaneously because the limitation of local storage, adopt the mode of video covering to practice thrift storage space usually, this screen that just leads to when needs longer time before can't obtain. The operation management of the existing park to resources is poor generally, the visualization degree is low, and the fine management difficulty is high in the future.
Disclosure of Invention
An object of the application is to provide a wisdom garden monitoring method, its change that can learn emergency in the garden in real time has brought certain danger, has improved the security, and is more intelligent.
Another object of the present application is to provide a smart park monitoring system capable of operating a smart park monitoring method.
The embodiment of the application is realized as follows:
in a first aspect, an embodiment of the application provides a smart park monitoring method, which includes acquiring monitoring video information, real-time work information of park equipment and environment information in a smart park; receiving video data in monitoring video information in the intelligent park, and processing the video data to obtain ultrahigh-definition video data; carrying out layered sampling on the facility operation data in the acquired real-time working information of the intelligent park equipment, and carrying out classification processing on the layered sampled data; and analyzing the video data, the classified facility operation data and the environment data of each district in the district environment information, and dividing the fire-fighting grade of the fire-fighting facilities in the district.
In some embodiments of this application, the aforesaid acquire the real-time work information of monitoring video information, garden equipment and the environmental information in the wisdom garden includes: and three-dimensional display is carried out on the monitoring video information, the real-time work information of park equipment and the environmental information in the intelligent park through the park three-dimensional model.
In some embodiments of the application, the receiving video data in the monitoring video information in the smart park and processing the video data to obtain ultra high definition video data includes: ultra-high-definition video data acquired by monitoring equipment arranged in the intelligent park are sent to a monitoring room for personnel in the monitoring room to check.
In some embodiments of the present application, the above further includes: and loading the video stream in the ultra-high-definition video data to a corresponding monitoring point model in the three-dimensional model of the park.
In some embodiments of the application, the hierarchically sampling the facility operation data in the acquired real-time work information of the intelligent park device, and the classifying the hierarchically sampled data includes: acquiring component state data or facility operation data of indoor and outdoor facilities in the intelligent park to be classified, taking the component state data or facility operation data as a data sample set to be classified, performing data cleaning on the data sample set to be classified, taking the data sample set after data cleaning as a target data set, determining a target clustering number based on the target data set, and clustering the target data set based on the target clustering number to obtain a data classification result.
In some embodiments of the present application, the above further includes: loading the indoor equipment state information in the intelligent park to a corresponding indoor equipment model in the park three-dimensional model; and loading the outdoor facility state information in the intelligent park to the corresponding outdoor facility model in the park three-dimensional model.
In some embodiments of the application, the analyzing the video data, the classified processed facility operation data, and the environmental data of each segment of the park environment information, and the dividing the fire-fighting classes of the park fire-fighting facilities includes: and performing linkage early warning on the video data, the classified facility operation data and the district environment data in the district environment information according to the fire-fighting grade of the fire-fighting facility established in the three-dimensional model of the district.
In a second aspect, an embodiment of the present application provides a smart park monitoring system, which includes a data acquisition module, configured to acquire monitoring video information, real-time work information of park equipment, and environment information in a smart park;
the video data processing module is used for receiving video data in the monitoring video information in the intelligent park and processing the video data to obtain ultra-high-definition video data;
the intelligent park equipment real-time working information acquisition module is used for acquiring real-time working information of intelligent park equipment;
and the analysis linkage module is used for analyzing the video data, the classified processed facility operation data and each piece of district environment data in the district environment information and dividing the fire-fighting grade of the district fire-fighting facilities.
In some embodiments of the present application, the above includes: at least one memory for storing computer instructions; at least one processor in communication with the memory, wherein the at least one processor, when executing the computer instructions, causes the system to: the system comprises a data acquisition module, a video data processing module, a park equipment processing module and an analysis linkage module.
In a third aspect, embodiments of the present application provide a computer-readable storage medium having a computer program stored thereon, which when executed by a processor, implements a method such as any one of the intelligent park monitoring methods.
Compared with the prior art, the embodiment of the application has at least the following advantages or beneficial effects:
the ultrahigh-definition video data are obtained after processing, the ultrahigh-definition video data are displayed in a partition mode through the garden three-dimensional model, real-time three-dimensional real-time monitoring can be conducted, the ultrahigh-definition video data are transmitted to a cloud server to be stored in a cloud, and finally the ultrahigh-definition video data are shared to be remotely monitored for a mobile terminal, so that the system can conduct real-time monitoring on the garden of an enterprise, cloud storage can be conducted, the situation that the video data cannot be found back after being covered is avoided, remote monitoring can be conducted simultaneously, when personnel need to enter the field, changes of emergency situations can be known in real time, certain dangerousness is brought, safety is improved, and the system is more intelligent.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained from the drawings without inventive effort.
FIG. 1 is a schematic diagram illustrating steps of a smart park monitoring method according to an embodiment of the present disclosure;
FIG. 2 is a diagram illustrating detailed steps of a monitoring method for an intelligent park according to an embodiment of the present disclosure;
FIG. 3 is a block diagram of an intelligent park monitoring system according to an embodiment of the present disclosure;
fig. 4 is an electronic device according to an embodiment of the present disclosure.
Icon: 10-a data acquisition module; 20-a video data processing module; 30-a park equipment processing module; 40-an analysis linkage module; 101-a memory; 102-a processor; 103-communication interface.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. The components of the embodiments of the present application, generally described and illustrated in the figures herein, can be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the present application, presented in the accompanying drawings, is not intended to limit the scope of the claimed application, but is merely representative of selected embodiments of the application. 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 application.
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 and explained in subsequent figures.
It should be noted that the term "comprises/comprising" or any other variation thereof is intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrases "comprising a," "8230," "8230," or "comprising" does not exclude the presence of additional like elements in a process, method, article, or apparatus that comprises the element.
Some embodiments of the present application will be described in detail below with reference to the accompanying drawings. The embodiments and features of the embodiments described below can be combined with one another without conflict.
Example 1
Referring to fig. 1, fig. 1 is a schematic diagram illustrating steps of a smart park monitoring method according to an embodiment of the present application, which is shown as follows:
step S100, acquiring monitoring video information, real-time work information of park equipment and environment information in an intelligent park;
in some embodiments, the monitoring video information is mainly video stream data obtained by video monitoring of the whole environment of the campus and the internal environment of the buildings (such as corridors, rear stairs and terraces in the buildings) in the campus; the real-time work information of the garden equipment refers to the running state information of indoor and outdoor equipment in the garden, and comprises indoor equipment state information and outdoor facility state information, the indoor equipment state information comprises indoor lighting lamp information, heater information, air conditioner information, elevator information and other equipment information, the outdoor facility state information comprises street lamp information, water supply and drainage equipment information and the like, and the environment information comprises temperature information, humidity information and the like. The monitoring video information, the real-time work information of the garden equipment and the environment information which are acquired are associated with the corresponding equipment in the three-dimensional garden model, so that the live-action video in the garden can be displayed in the corresponding place during display, and various garden equipment information can be directly displayed on the corresponding equipment model, so that managers can monitor more conveniently and visually, and the working efficiency is greatly improved. The method can save various park equipment information and environmental information collected in a preset time period, save all the information of a park three-dimensional model, perform classified statistics on the park equipment information and the environmental information, and form a statistical chart; and the historical query function can also be used for inquiring the park equipment information, the environment information and all the information of the park three-dimensional model.
Step S110, receiving video data in monitoring video information in an intelligent park, and processing the video data to obtain ultra-high definition video data;
in some embodiments, a video frame of video data sent by a monitoring device in an intelligent park is subjected to enhancement processing to obtain a first enhanced image; obtaining a relative brightness value of the first enhanced image; obtaining an enhancement adjustment coefficient according to the relative brightness value; obtaining a second enhanced image according to the first enhanced image and the enhancement adjustment coefficient; and performing two-stage or multi-stage conversion processing on the second enhanced image to obtain ultra-high definition video data.
Step S120, carrying out layered sampling on facility operation data in the acquired real-time working information of the intelligent park equipment, and carrying out classification processing on the layered sampling data;
in some embodiments, energy consumption analysis is performed according to the park equipment information, and when it is detected that an energy consumption analysis result exceeds a preset energy consumption threshold, a model corresponding to the park equipment information in the park three-dimensional model is highlighted. Energy consumption analysis software is combined with real-time acquired park equipment information, so that technicians can be assisted to draw up an energy-saving plan and an energy-saving scheme.
And step S130, analyzing the video data, the classified facility operation data and the district environment data in the district environment information, and dividing the fire-fighting grade of the district fire-fighting facilities.
In some embodiments, the connection between the fire-fighting facilities and each piece of district environment data in the analyzed video data, the classified facility operation data and the park environment information is established through the data interface and the connecting line, the component state data or the facility operation data of the park fire-fighting facilities are sent to the central control system, the component state data or the facility operation data of the fire-fighting facilities are analyzed through the hidden danger analysis program, and the fire-fighting grades of the park fire-fighting facilities are classified.
Example 2
Referring to fig. 2, fig. 2 is a detailed step diagram of a smart park monitoring method according to an embodiment of the present application, which is shown as follows:
and S200, three-dimensionally displaying the monitoring video information, the real-time work information of the park equipment and the environmental information in the intelligent park through the park three-dimensional model.
And step S210, sending the ultra-high-definition video data acquired by the monitoring equipment arranged in the intelligent park to a monitoring room for monitoring by monitoring room personnel.
And S220, loading the video stream in the ultra-high-definition video data to a corresponding monitoring point model in the garden three-dimensional model.
Step S230, acquiring component state data or facility operation data of indoor and outdoor facilities in the intelligent park to be classified as a data sample set to be classified, performing data cleaning on the data sample set to be classified, using the data sample set after data cleaning as a target data set, determining a target clustering number based on the target data set, and clustering the target data set based on the target clustering number to obtain a data classification result.
Step S240, loading the indoor equipment state information in the intelligent park to a corresponding indoor equipment model in the park three-dimensional model; and loading the outdoor facility state information in the intelligent park to the corresponding outdoor facility model in the park three-dimensional model.
And step S250, performing linkage early warning on the video data, the classified facility operation data and the district environment data in the district environment information according to the fire-fighting level of the fire-fighting facility established in the three-dimensional model of the district.
In some embodiments, linkage early warning of the park fire-fighting equipment is performed through the opposite side linkage early warning device according to the received position information of the fire-fighting equipment, fire fighting is performed on the fire-fighting equipment with lower park fire-fighting grade and fire-fighting hidden danger according to early warning notification through the fire-fighting equipment, maintenance management is performed on the park fire-fighting equipment according to the early warning notification and the fire-fighting information through the maintenance management equipment, and real-time data of component state data or equipment operation data, data preprocessing results, hidden danger analysis results, position information, linkage early warning notification, fire-fighting information and maintenance management information of the fire-fighting equipment in the park are updated and displayed through the park three-dimensional model.
Example 3
Referring to fig. 3, fig. 3 is a schematic diagram of an intelligent park monitoring system module according to an embodiment of the present disclosure, which is shown as follows:
the data acquisition module 10 is used for acquiring monitoring video information, real-time work information of park equipment and environment information in the intelligent park;
the video data processing module 20 is configured to receive video data in the monitoring video information in the intelligent park, and process the video data to obtain ultra-high-definition video data;
the campus equipment processing module 30 is used for carrying out layered sampling on facility operation data in the acquired real-time working information of the intelligent campus equipment and carrying out classification processing on the layered sampled data;
and the analysis linkage module 40 is used for analyzing the video data, the classified facility operation data and the district environment data in the district environment information and dividing the fire-fighting grades of the district fire-fighting facilities.
As shown in fig. 4, an embodiment of the present application provides an electronic device, which includes a memory 101 for storing one or more programs; a processor 102. The one or more programs, when executed by the processor 102, implement the method of any of the first aspects as described above.
Also included is a communication interface 103, with the memory 101, processor 102, and communication interface 103 being electrically connected to each other, directly or indirectly, to enable transfer or interaction of data. For example, the components may be electrically connected to each other via one or more communication buses or signal lines. The memory 101 may be used to store software programs and modules, and the processor 102 executes the software programs and modules stored in the memory 101 to thereby execute various functional applications and data processing. The communication interface 103 may be used for communicating signaling or data with other node devices.
The Memory 101 may be, but is not limited to, a Random Access Memory 101 (RAM), a Read Only Memory 101 (ROM), a Programmable Read Only Memory 101 (PROM), an Erasable Read Only Memory 101 (EPROM), an electrically Erasable Read Only Memory 101 (EEPROM), and the like.
The processor 102 may be an integrated circuit chip having signal processing capabilities. The Processor 102 may be a general-purpose Processor 102, including a Central Processing Unit (CPU) 102, a Network Processor 102 (NP), and the like; but may also be a Digital Signal processor 102 (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic device, discrete hardware components.
In the embodiments provided in the present application, it should be understood that the disclosed method and system can be implemented in other ways. The method and system embodiments described above are merely illustrative and, for example, the flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of methods and systems, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, functional modules in the embodiments of the present application may be integrated together to form an independent part, or each module may exist alone, or two or more modules may be integrated to form an independent part.
In another aspect, embodiments of the present application provide a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by the processor 102, implements the method according to any one of the first aspect described above. The functions may be stored in a computer-readable storage medium if they are implemented in the form of software functional modules and sold or used as separate products. Based on such understanding, the technical solutions of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the methods described in the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory 101 (ROM), a Random Access Memory 101 (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
To sum up, according to the smart park monitoring method and system provided by the embodiment of the application, ultrahigh-definition video data are obtained after processing, are displayed in a partitioned manner through the park three-dimensional model, can be subjected to real-time three-dimensional real-time monitoring, and are transmitted to the cloud server for cloud storage, and finally, the ultrahigh-definition video data are shared and can be remotely monitored for the mobile terminal, so that the system can be used for carrying out real-time monitoring on the enterprise park, can be used for carrying out cloud storage, avoiding the situation that the video data cannot be found back after being covered, and can be used for carrying out remote monitoring at the same time.
The above description is only a preferred embodiment of the present application and is not intended to limit the present application, and various modifications and changes may be made to the present application by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application.
It will be evident to those skilled in the art that the present application is not limited to the details of the foregoing illustrative embodiments, and that the present application may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the application being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.

Claims (10)

1. A method for monitoring an intelligent campus, comprising:
acquiring monitoring video information, real-time work information of park equipment and environment information in an intelligent park;
receiving video data in monitoring video information in an intelligent park, and processing the video data to obtain ultrahigh-definition video data;
carrying out layered sampling on the facility operation data in the acquired real-time working information of the intelligent park equipment, and carrying out classification processing on the layered sampled data;
and analyzing the video data, the classified facility operation data and the environment data of each district in the district environment information, and dividing the fire-fighting grade of the fire-fighting facilities in the district.
2. The intelligent campus monitoring method of claim 1, wherein the acquiring of the monitoring video information, the real-time operation information of the campus device and the environmental information of the intelligent campus comprises:
and three-dimensional display is carried out on the monitoring video information, the real-time work information of park equipment and the environmental information in the intelligent park through the park three-dimensional model.
3. The intelligent campus monitoring method of claim 1 wherein said receiving video data from the monitored video information of the intelligent campus and processing the video data to obtain ultra high definition video data comprises:
ultra-high-definition video data acquired through monitoring equipment arranged in the intelligent park are sent to a monitoring room for personnel in the monitoring room to check.
4. The intelligent campus monitoring method of claim 3 further comprising:
and loading the video stream in the ultra-high-definition video data to a corresponding monitoring point model in the three-dimensional model of the park.
5. The intelligent campus monitoring method of claim 1 wherein said hierarchically sampling the facility operation data in the real-time operating information of the intelligent campus devices and classifying the hierarchically sampled data comprises:
acquiring component state data or facility operation data of indoor and outdoor facilities in the intelligent park to be classified, taking the component state data or facility operation data as a data sample set to be classified, performing data cleaning on the data sample set to be classified, taking the data sample set after data cleaning as a target data set, determining a target clustering number based on the target data set, and clustering the target data set based on the target clustering number to obtain a data classification result.
6. The intelligent campus monitoring method of claim 5 further comprising:
loading the indoor equipment state information in the intelligent park to a corresponding indoor equipment model in the park three-dimensional model; and loading the outdoor facility state information in the intelligent park to the corresponding outdoor facility model in the park three-dimensional model.
7. The intelligent campus monitoring method of claim 1 wherein analyzing the video data, the categorized facility operation data and the campus environment data and classifying the fire-fighting classes of the fire-fighting facilities of the campus comprises:
and performing linkage early warning on the video data, the classified facility operation data and the district environment data in the district environment information according to the fire-fighting grade of the fire-fighting facility established in the three-dimensional model of the district.
8. A wisdom garden monitored control system which characterized in that includes:
the data acquisition module is used for acquiring monitoring video information, real-time work information of park equipment and environment information in the intelligent park;
the video data processing module is used for receiving video data in the monitoring video information in the intelligent park and processing the video data to obtain ultrahigh-definition video data;
the park equipment processing module is used for carrying out layered sampling on facility operation data in the acquired real-time working information of the intelligent park equipment and carrying out classification processing on the layered sampled data;
and the analysis linkage module is used for analyzing the video data, the classified processed facility operation data and each piece of district environment data in the district environment information and dividing the fire-fighting grade of the district fire-fighting facilities.
9. The intelligent campus monitoring system of claim 8 including:
at least one memory for storing computer instructions;
at least one processor in communication with the memory, wherein the at least one processor, when executing the computer instructions, causes the system to perform: the system comprises a data acquisition module, a video data processing module, a park equipment processing module and an analysis linkage module.
10. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the method according to any one of claims 1-7.
CN202211116496.XA 2022-09-14 2022-09-14 Intelligent park monitoring method and system Pending CN115457471A (en)

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CN117474739B (en) * 2023-12-28 2024-05-14 广州市德赛西威智慧交通技术有限公司 Public area intelligent management and control method and system based on Internet technology

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Application publication date: 20221209