CN-224218440-U - Intelligent building video monitoring system

CN224218440UCN 224218440 UCN224218440 UCN 224218440UCN-224218440-U

Abstract

The utility model relates to the technical field of video monitoring, in particular to an intelligent building video monitoring system which comprises a front end acquisition layer, a network transmission layer, a data processing layer, a multi-dimensional application layer, a data storage layer, a control interaction layer and a display layer, wherein the front end acquisition layer is connected with the network transmission layer, the network transmission layer is respectively connected with the data processing layer, the multi-dimensional application layer, the data storage layer, the control interaction layer and the display layer, and the front end acquisition layer comprises a binocular passenger flow statistical camera, a panoramic multi-view splicing camera, an AR spherical eagle eye camera, a three-view behavior analysis camera, a face access control all-in-one machine, a illegal stop snapshot spherical camera and a face identification snapshot camera. The system solves the problems that the traditional building monitoring system equipment is insufficient in full-dimensional coverage and depends on a central server and a network topology structure to be complex.

Inventors

ZHAO SONGDE
CUI DEJING
LI XIAOFAN
XUE SHIKUN
REN WEILONG

Assignees

恒德科技有限公司

Dates

Publication Date: 20260508
Application Date: 20250529

Claims (10)

1. The intelligent building video monitoring system is characterized by comprising a front-end acquisition layer, a network transmission layer, a data processing layer, a multi-dimensional application layer, a data storage layer, a control interaction layer and a display layer, wherein the front-end acquisition layer is connected with the network transmission layer, the network transmission layer is respectively connected with the data processing layer, the multi-dimensional application layer, the data storage layer, the control interaction layer and the display layer, and the front-end acquisition layer comprises a binocular passenger flow statistics camera, a panoramic multi-view splicing camera, an AR spherical eagle eye camera, a three-view behavior analysis camera, a face access control all-in-one machine, a illegal stop snapshot spherical camera and a face recognition snapshot camera.
2. The intelligent building video monitoring system according to claim 1 is characterized in that the binocular passenger flow statistical camera and the three-dimensional behavior analysis camera form a detail capturing module which is connected with a network transmission layer through six types of network cables respectively, the face recognition snapshot camera, the face access control integrated machine and the illegal snapshot spherical camera form a business special module which is connected with the network transmission layer through six types of network cables respectively, and the panoramic multi-dimensional splicing camera and the AR spherical eagle eye camera form a full-dimensional sensing module which is connected with the network transmission layer through six types of network cables respectively.
3. The intelligent building video monitoring system according to claim 1, wherein the network transmission layer adopts an access layer-convergence layer-core layer three-layer architecture, wherein the access layer is provided with a device switch, the convergence layer is provided with an optical fiber distribution frame, the core layer is provided with a core switch, the device switch is connected with each device in the front-end acquisition layer through six types of network wires, the optical fiber distribution frame is connected with the device switch through optical fibers, and the optical fiber distribution frame is connected with the core switch through optical fibers.
4. A video monitoring system for intelligent buildings as claimed in claim 3, wherein said equipment switch is a poe+ switch disposed within each layer of weak wells in the building.
5. An intelligent building video monitoring system according to claim 3, wherein the network transport layer further comprises edge computing nodes embedded in the equipment switch.
6. The intelligent building video monitoring system according to claim 3, wherein the data processing layer comprises a situation analysis server and a face recognition server, and the situation analysis server and the face recognition server are respectively connected with the core switch through six types of network cables.
7. The intelligent building video monitoring system of claim 3, wherein the data storage layer comprises a storage server, and wherein the storage server is connected with the core switch through six types of network cables.
8. The intelligent building video monitoring system of claim 3, wherein the control interaction layer comprises a control keyboard, and wherein the control keyboard is connected to the core switch through six types of network cables.
9. The intelligent building video monitoring system according to claim 3, wherein the multidimensional application layer comprises a monitoring workstation and a video control platform, and the monitoring workstation and the video control platform are respectively connected with the core switch through six types of network cables.
10. The intelligent building video monitoring system according to claim 3, wherein the display layer comprises a spliced screen control matrix, a high-definition decoder and a display large screen, one end of the spliced screen control matrix and one end of the high-definition decoder are respectively connected with the core switch through six types of network cables, and the other ends of the display large screen and the high-definition decoder are respectively connected with the spliced screen control matrix through HDMI cables.

Description

Intelligent building video monitoring system Technical Field The utility model relates to the technical field of video monitoring, in particular to an intelligent building video monitoring system. Background The TOD business building is used as a traffic, business and office compound business junction, has the characteristics of high people flow density, multi-business fusion, traffic junction integration and the like, and needs to effectively monitor and manage high-density people. The existing building monitoring system has the following technical bottlenecks on the hardware architecture level: (1) The full-dimensional coverage of equipment is insufficient, cameras arranged in the traditional building monitoring system are mainly monocular cameras or dome cameras, a single visual angle is only 60-90 degrees, the coverage capability is insufficient, a large number of equipment stacks are needed to cover public areas (such as halls, corridors and parking lots) of the building, and the number of lenses is redundant and visual angle blind areas still exist. (2) In the traditional monitoring system, all data are transmitted to the central server, so that the bandwidth pressure is high, the delay is high, and the whole system is affected once the central server fails. (3) The network topology is complex, and the wiring mode between the devices is complex due to the multi-layer structure of the building. Disclosure of utility model Aiming at the defects existing in the prior art, the utility model aims to provide an intelligent building video monitoring system which solves the problems of insufficient full-dimensional coverage of traditional building monitoring system equipment and complex dependence on a central server and a network topology structure. The utility model adopts the scheme that: The intelligent building video monitoring system comprises a front end acquisition layer, a network transmission layer, a data processing layer, a multi-dimensional application layer, a data storage layer, a control interaction layer and a display layer, wherein the front end acquisition layer is connected with the network transmission layer, the network transmission layer is respectively connected with the data processing layer, the multi-dimensional application layer, the data storage layer, the control interaction layer and the display layer, and the front end acquisition layer comprises a binocular passenger flow statistical camera, a panoramic multi-view splicing camera, an AR spherical eagle eye camera, a three-view behavior analysis camera, a face access control all-in-one machine, a illegal-stop snapshot spherical camera and a face identification snapshot camera. The system comprises a binocular passenger flow statistical camera, a three-dimensional behavior analysis camera, a face identification snap camera, a face access control integrated machine, a face illegal snap spherical camera, a panoramic multi-view splicing camera, an AR spherical eagle eye camera, a full-dimensional sensing module and a network transmission layer, wherein the binocular passenger flow statistical camera and the three-dimensional behavior analysis camera are respectively connected with the network transmission layer through six types of network cables, the face identification snap camera, the face access control integrated machine and the illegal snap spherical camera form a business special module which is respectively connected with the network transmission layer through the six types of network cables, and the panoramic multi-view splicing camera and the AR spherical eagle eye camera form the full-dimensional sensing module which is respectively connected with the network transmission layer through the six types of network cables. The network transmission layer adopts an access layer-convergence layer-core layer three-layer framework, wherein the access layer is provided with a device switch, the convergence layer is provided with an optical fiber distribution frame, the core layer is provided with a core switch, the device switch is connected with all devices in the front end acquisition layer through six types of network wires, the optical fiber distribution frame is connected with the device switch through optical fibers, and the optical fiber distribution frame is connected with the core switch through optical fibers. Furthermore, the equipment exchanger adopts a PoE+ exchanger and is arranged in each layer of weak electric wells in the building. Further, the network transport layer further includes edge computing nodes embedded in the device switch. Further, the data processing layer comprises a situation analysis server and a face recognition server, wherein the situation analysis server and the face recognition server are respectively connected with the core switch through six types of network cables. Further, the data storage layer comprises a storage server, and the storage server is connected with the core switch through si