CN114979580A - Image recognition device and method for machine room monitoring - Google Patents
Image recognition device and method for machine room monitoring Download PDFInfo
- Publication number
- CN114979580A CN114979580A CN202210580423.XA CN202210580423A CN114979580A CN 114979580 A CN114979580 A CN 114979580A CN 202210580423 A CN202210580423 A CN 202210580423A CN 114979580 A CN114979580 A CN 114979580A
- Authority
- CN
- China
- Prior art keywords
- image
- machine room
- module
- image recognition
- alarm
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
- G08B21/182—Level alarms, e.g. alarms responsive to variables exceeding a threshold
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/02—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP]
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Multimedia (AREA)
- Signal Processing (AREA)
- Business, Economics & Management (AREA)
- Emergency Management (AREA)
- Theoretical Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Alarm Systems (AREA)
Abstract
The invention relates to the technical field of machine room monitoring, and discloses an image recognition device and method for machine room monitoring. The image recognition device and the method designed based on the advanced image recognition technology and the image processing technology can carry out local or remote real-time intelligent monitoring on the security system of the machine room, have scientific automatic response and early warning processing functions, can effectively ensure the real-time performance and the accuracy of the machine room monitoring, greatly improve the management efficiency of the machine room, reduce the operation and maintenance cost of the machine room, and have good social benefit and economic benefit.
Description
Technical Field
The invention relates to the technical field of machine room monitoring, in particular to an image recognition device and method for machine room monitoring.
Background
The traditional machine room monitoring work adopts a mode of manual inspection and video monitoring, and the video monitoring system can only provide the functions of playback, video recording and real-time viewing of monitoring videos and seriously depends on manual supervision. Traditional computer lab control mode is not only with high costs, inefficient, and the real-time is poor moreover, has the control blind area, can't make timely location and early warning to the unusual action of computer lab to the staff looks over a large amount of videos for a long time and arouses easily laxly and tired out, very easily arouses computer lab safety problem.
The method has the advantages that the high-speed development in the communication field in recent years is benefited, the image recognition technology and the image processing technology at the front edge are applied to the machine room monitoring system, the video monitoring content can be automatically understood, so that the operations such as automatic early warning and automatic response are performed, the machine room safety management work is more automatic and efficient, the machine room management efficiency is greatly improved, and the method has profound practical application value and social benefit.
Therefore, an image recognition device and method for machine room monitoring are provided.
Disclosure of Invention
The invention provides an image recognition device and method for machine room monitoring, which are designed by adopting a modular scheme, wherein the image recognition device comprises a microprocessor module, a communication module, an image capturing module, an image recognition module, a Web display module, an early warning module and a storage module.
The image recognition device and the method designed based on the advanced image recognition technology and the image processing technology can carry out local or remote real-time intelligent monitoring on the security system of the machine room, have scientific automatic response and early warning processing functions, can effectively ensure the real-time performance and the accuracy of the machine room monitoring, greatly improve the management efficiency of the machine room, reduce the operation and maintenance cost of the machine room, and have good social benefit and economic benefit.
In order to achieve the purpose, the invention adopts the following technical scheme that the image recognition device for machine room monitoring comprises an image recognition device, wherein the image recognition device is used for carrying out real-time monitoring, image recognition, accurate positioning and intelligent early warning on the security environment of a machine room, the image recognition device comprises a microprocessor module, a communication module, an image capturing module, an image recognition module, a Web display module, an early warning module and a storage module, the microprocessor module is used for controlling the image capturing module to carry out snapshot and video recording and mastering the monitoring environment of the machine room according to the processed image recognition information obtained by the image recognition module, the microprocessor module comprises a CPU, a memory, a Nand flash and a TF card for storage, and can provide a running environment for an embedded system, and the CPU adopts an ARM processor which has high speed and low power consumption and supports the embedded operating system.
Preferably, the communication module is used for sending the machine room data captured by the image capturing module to a national standard server platform and accessing the machine room monitoring data uploaded to the national standard server platform, the module supports two communication modes of wired communication and wireless communication, the national standard server platform refers to a GB28181 national standard platform, and the image recognition device and the national standard server platform perform information interaction in a push-pull flow mode.
Preferably, the image capturing module is used for capturing data of various Power devices, environmental systems and security systems in a machine room, the module further comprises a camera module and a Power supply module, the camera module comprises one or more cameras and is mainly used for acquiring machine room monitoring data, the camera module has the functions of real-time monitoring, picture capturing and video recording, the Power supply module supports two Power supply modes of an external Power supply and Power Over Ethernet (POE) Power supply, and the POE Power supply can also provide direct current Power supply for the network camera device.
Preferably, the image recognition module is used for processing image data acquired by the image capturing module and outputting an analysis result, when the output result reports that the equipment works abnormally, the linkage early warning module records an alarm event and notifies workers, the linkage image capturing module performs image capture or video recording on the abnormal working equipment, and the image recognition process mainly comprises the steps of image information acquisition, image preprocessing, image feature extraction and image classification judgment.
Preferably, the Web display module is used for checking machine room monitoring data and supporting two modes of local access and remote access, the machine room monitoring data mainly comprises equipment information, equipment positions, equipment indicator lamp states, alarm events, alarm linkage snapshot pictures, alarm linkage recording videos, real-time monitoring videos, historical monitoring videos and image identification data, and the Web display module is realized by adopting a B/S structure and a Web service technology, has a graphical interface with rich images and can provide automatic information exchange in the system.
Preferably, the early warning module is used for positioning a warning position, sending warning information and starting emergency response, and supports various warning modes of web, sound and light, telephone and short message, and comprises a real-time warning module and a pre-warning module, wherein the real-time warning module adopts a combined warning mode, a user needs to pre-define threshold parameters when the machine room monitoring equipment normally works, when the equipment parameters are abnormal, the combined image capturing module carries out image capture and video recording on abnormally working equipment and starts real-time warning, the pre-warning module adopts an advanced image recognition technology to carry out early warning, and mainly carries out comparison analysis according to the equipment normal working image data stored in the system, the real-time image data collected by the image capturing module and the image data analyzed and processed by the image recognition module, and particularly, the system divides the alarm levels, and when the alarm of the highest level is triggered, the system can automatically start emergency response.
Preferably, the storage module is used for storing equipment information, alarm events, captured image data, image identification data and other machine room monitoring data, has a breakpoint continuous transmission function, supports two modes of SQLite database storage and local hard disk storage, can store the locally stored alarm data and monitoring data in different directories, and divides the sub-directories according to the monitored equipment and the camera respectively, and can perform user-defined information query including alarm equipment, time period, location, alarm type and alarm level information.
A use method of an image recognition device for machine room monitoring comprises the following working steps:
s1, reasonably arranging the positions of the cameras in the machine room to enable all the equipment in the machine room to be in a monitoring range;
s2, starting the image recognition device: the system comprises a computer room camera, a Web display and an alarm;
s2, initializing the system;
s4, real-time image capture: real-time monitoring and image capturing are carried out on the machine room environment;
s5, data storage: the monitoring data of the machine room are stored in a classified mode according to the type of the equipment and the position of the camera;
s6, image recognition: processing machine room monitoring data captured or recorded by a camera through an image recognition technology;
s7, warning or early warning: when the equipment in the machine room is abnormal, giving an alarm in real time or in advance and informing workers;
s8, capturing an alarm image, triggering alarm linkage when an alarm or early warning occurs, and acquiring pictures or videos of abnormal working equipment at the moment of the alarm or early warning by a camera;
s9, Web display: the monitoring data of the machine room is checked locally or remotely through a Web display;
and S10, the staff checks the abnormal alarm event and releases the alarm.
Preferably, the specific operation of step S6 is as follows:
s61, image information acquisition: acquiring input image data through a camera;
s62, image preprocessing: image acquisition, image enhancement, image denoising and Canny edge extraction;
s63, image feature extraction: extracting color, texture, edge and shape characteristics of the image;
s64, image classification and judgment: carrying out structural analysis and description according to the image characteristics;
s65, image analysis and comparison: analyzing and comparing the normal image data and the input image data according to a user-defined rule, and judging whether the identified image data is normal or not;
s66, outputting the result: and outputting an image recognition result.
Preferably, the specific operation of step S7 is as follows:
s71, when the machine room monitoring equipment does not accord with the pre-defined working threshold parameter, starting a real-time alarm;
s72, when the image recognition module analyzes and finds that the equipment works abnormally, starting a pre-alarm;
s73, when the highest level alarm is triggered, the system may initiate an emergency response.
Advantageous effects
The invention provides an image recognition device and method for machine room monitoring. The method has the following beneficial effects:
(1) according to the image recognition device and method for monitoring the machine room, the data monitoring is set, so that a user can inquire the monitoring data of all stations of the machine room, including equipment information, real-time data inquiry, historical data inquiry, alarm data inquiry and the like.
(2) The invention adopts B/S architecture and Web service technology to realize through setting Web display, supports local and remote dual management modes and leads user management to be more flexible.
(3) According to the image recognition device and the image recognition method for machine room monitoring, intelligent early warning can be achieved, monitoring data are analyzed and processed through an image recognition technology, abnormal working equipment can be warned in real time, early warning can be achieved, the safety factor of a machine room is greatly improved, and the security risk of the machine room is reduced.
(4) The invention realizes accurate positioning, and can accurately position abnormal equipment information when an alarm occurs by reasonably arranging the camera position of the machine room and the image recognition technology, thereby greatly reducing the loss of the machine room and improving the management efficiency.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below. It should be apparent that the drawings in the following description are merely exemplary, and that other embodiments can be derived from the drawings provided by those of ordinary skill in the art without inventive effort.
The structures, ratios, sizes, and the like shown in the present specification are only used for matching with the contents disclosed in the specification, so as to be understood and read by those skilled in the art, and are not used to limit the conditions that the present invention can be implemented, so that the present invention has no technical significance, and any structural modifications, changes in the ratio relationship, or adjustments of the sizes, without affecting the effects and the achievable by the present invention, should still fall within the range that the technical contents disclosed in the present invention can cover.
FIG. 1 is a schematic structural diagram of an image recognition device for machine room monitoring according to the present invention;
FIG. 2 is a schematic diagram of a work flow of an image recognition module in the image recognition apparatus for machine room monitoring according to the present invention;
fig. 3 is a schematic working flow diagram of the image recognition method for machine room monitoring according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The present embodiment further describes the technical solution of the present invention by taking an image recognition apparatus and method for monitoring a machine room as an example and combining with the accompanying drawings.
The embodiment of the invention provides an image recognition device and method for machine room monitoring, the device can be used for carrying out real-time monitoring, image recognition, accurate positioning, intelligent early warning and the like on a machine room security environment, and the method is applied to the image recognition device in machine room monitoring.
In a first aspect, an embodiment of the present invention provides an image recognition apparatus for monitoring a machine room, and fig. 1 is a schematic structural diagram of the apparatus according to the embodiment of the present invention. As shown in fig. 1, the device according to the embodiment of the present invention includes a microprocessor module, a communication module, an image capturing module, an image recognition module, a Web display module, an early warning module, and a storage module, and performs information interaction with a target service platform in a push-pull stream manner.
In this embodiment, the international server platform is a GB28181 international platform, and includes a GB28181 signaling server and a streaming media server, where control signaling and information transmission are transmitted to the GB28181 signaling server by an SIP protocol, and video information is transmitted to the streaming media server by an RTP protocol.
Further, the GB28181 national standard platform is a communication protocol standard specified by the country for the security field, and the standard specifies basic requirements and security requirements of the interconnection structure, transmission, exchange, and control of the public security video surveillance networking system, and technical requirements such as control, transmission flow, protocol interface, and the like. The SIP Protocol refers to Session Initiation Protocol (SIP), which is a point-to-point Protocol of an application layer and is used for initiating, managing and terminating two-party or multi-party multimedia sessions in an IP network; the RTP Protocol refers to a Real-time Transport Protocol (RTP) and is used for transmitting data in Real time, and may provide information such as a timestamp for synchronization, a sequence number for packet loss and reordering detection, and a load format for explaining a data encoding format.
In this embodiment, the microprocessor module is configured to control the image capturing module to capture and record a video, and grasp a machine room monitoring environment according to the processed image identification information obtained by the image identification module. The microprocessor module comprises a CPU, a memory, a Nand flash, a TF card memory and the like, and can provide a running environment for the embedded system. In particular, the CPU of the embodiment of the present invention employs an ARM processor that has a high speed, low power consumption, and supports an embedded operating system.
Further, the information interaction between the microprocessor and the target server platform comprises active information interaction and passive information interaction, and the following communication principles are followed:
active information interaction: the microprocessor module controls the image capturing module to upload image data monitored in real time to the target server platform in real time; when triggering alarm information, switch state change, analog address change, exceeding a set threshold or reaching a periodic monitoring information reporting time point, the microprocessor end actively reports related monitoring information of the national standard server platform;
passive information interaction: and when receiving the requests of the Web display module for checking real-time monitoring data, historical monitoring data, alarm events and the like, the microprocessor module quickly responds to the Web page control command and reports the request of the national standard service platform for accessing the related data.
In this embodiment, the communication module is configured to send the machine room data captured by the image capture module to the national standard server platform and access the machine room monitoring data uploaded to the national standard server platform, and the module supports two communication modes, namely wired communication and wireless communication. The wired communication refers to information interaction with a target server platform through media such as optical fibers and metal wires, and the wireless communication refers to information interaction with the target server platform through modes such as WIFI, 4G and 5G. The international server platform refers to a GB28181 international platform, and the image recognition device and the international server platform perform information interaction in a push-pull stream mode.
Further, the push-pull flow comprises two processes of push flow and pull flow. The plug flow refers to a process of uploading image data acquired by a network camera to a target server platform; the pull stream is a process of pulling data by using a specified address for the content recorded and being recorded by the network camera.
In this embodiment, the image capturing module is configured to capture data of various power devices, environmental systems, and security systems in a machine room, and the image capturing module further includes a camera module and a power supply module. The camera module comprises one or more network cameras and is mainly used for acquiring machine room monitoring data. In particular, the present embodiment employs a Haokangwei DS type network camera, which supports the functions of real-time monitoring, picture capturing, video recording, infrared night vision, smart mobile detection, H.265 compression, and the like. The power supply module supports two power supply modes of an external power supply and a POE power supply, the POE power supply is adopted in the embodiment, and the POE power supply can provide direct current power supply for the network camera equipment.
In this embodiment, the image recognition module is configured to process the image data collected by the image capture module and output an analysis result. Fig. 2 is a schematic view of the work flow of the image recognition module. As shown in fig. 2, the image recognition apparatus performs processing such as image information acquisition, image preprocessing, image feature extraction, and image classification and discrimination on the input image, and outputs the processing result. When the output result reports that the equipment works abnormally, the linkage early warning module records an alarm event and informs workers, and the linkage image capturing module carries out image capturing or video recording on the abnormal working equipment. In particular, the image preprocessing comprises image acquisition, image enhancement, image denoising, Canny edge extraction and other parts, and the feature extraction comprises the extraction of features such as color, texture, edge, shape and the like of an image.
In this embodiment, the Web display module is configured to view machine room monitoring data and support two modes, namely, a local access mode and a remote access mode. The machine room monitoring data mainly comprises equipment information, equipment positions, equipment indicator light states, alarm events, alarm linkage snapshot pictures, alarm linkage recording videos, real-time monitoring videos, historical monitoring videos, image identification data and the like. The Web display module is realized by adopting a B/S structure and a Web service technology, has a graphical interface with rich image and can provide automatic information exchange in the system.
Further, the B/S structure is a Browser/Server (Browser/Server) structure, and the structure only needs to install and maintain one Server, and can independently select a Browser to perform software operation, that is, a user can access various image data collected by the image recognition device to which the present invention belongs through the Browser. The web service technology may provide cross-platform interoperability. After the pre-deployment, other application programs can directly call the remote service through the web service interface so as to achieve the purpose of service operation among different application platforms.
In this embodiment, the early warning module is configured to locate an alarm position, send alarm information, start an emergency response, and support various alarm modes such as web, sound and light, telephone, and short message, and includes a real-time alarm module and a pre-alarm module. The real-time alarm module adopts a combined alarm mode, a user needs to pre-define threshold parameters when the machine room monitoring equipment normally works, and when the equipment parameters are abnormal, the combined image capture module carries out image capture and video recording on the abnormally working equipment and starts real-time alarm. The pre-warning module adopts an advanced image recognition technology to carry out pre-warning, and mainly carries out comparison analysis according to the normal working image data of equipment stored in the system, the real-time image data acquired by the image capturing module and the image data analyzed and processed by the image recognition module, and starts pre-warning and takes a warning picture or records a warning video when the result is abnormal.
Furthermore, the embodiment of the invention divides the alarm event into four levels of serious alarm, important alarm, secondary alarm and common alarm, and can carry out intelligent alarm by matching different alarm forms according to different alarm levels. When a serious alarm is triggered, the system can automatically start emergency response, if a serious smoke alarm occurs, an appointed ventilating duct and a door and window of a machine room are automatically opened, and if a serious water immersion alarm occurs, a water flow switch is automatically cut off.
In this embodiment, the storage module is used for storing equipment information, alarm events, captured image data, image recognition data and other machine room monitoring data, has a breakpoint resume function, and supports two modes of SQLite database storage and local hard disk storage. When the data link communication is normal, the machine room monitoring data can be uploaded to a target server platform in real time; when the communication of the transmission link is interrupted, the module can locally store the machine room monitoring data in the last two days; when the link communication is recovered, the module can actively or passively upload the stored machine room monitoring data in the last two days to the target server platform. The alarm data and the monitoring data stored locally can be stored in different directories, and the subdirectories are divided according to the monitored equipment and the camera, so that the user can perform user-defined information query, including information such as alarm equipment, time period, place, alarm type, alarm level and the like.
In a second aspect, an embodiment of the present invention provides an image recognition method for machine room monitoring, where the method is applied to an image recognition device in machine room monitoring. Fig. 3 is a schematic workflow diagram of an image identification method for monitoring a machine room according to an embodiment of the present invention. As shown in fig. 3, the method according to the embodiment of the present invention includes the following steps:
s1, reasonably arranging the positions of the cameras in the machine room, and enabling all the machine room equipment to be in a monitoring range.
S2, starting the image recognition device: the system comprises a computer room camera, a Web display, an alarm and the like.
S3, system initialization: the method comprises the steps of customizing an alarm rule, setting fixed-point shooting time, setting a camera alarm linkage item, normal working image data of equipment and the like.
S4, real-time image capture: and the network camera is used for monitoring the environment of the machine room in real time and capturing images, and the national server platform uploads monitoring data.
Further, the network camera has functions of infrared night vision, intelligent mobile detection and the like, and captured images include but are not limited to equipment information, equipment indicator light states, equipment positions, machine room security environment, machine room personnel movement conditions, machine room abnormal objects, machine room abnormal sounds and the like.
S5, data storage: and (4) storing the monitoring data of the machine room in a classified manner in the local hard disk and the SQLite database according to the equipment type and the camera position.
Furthermore, the local hard disk storage can provide a breakpoint continuous transmission function, when the communication of the transmission link is interrupted, the module can locally store the machine room monitoring data in the last two days, and actively or passively upload the stored machine room monitoring data in the last two days to the target server platform after the communication of the link is restored.
S6, image recognition: the microprocessor controls the image recognition module to process machine room monitoring data captured or recorded by the network camera through an image recognition technology, the input image data and image data pre-recorded into the system are identified, compared and analyzed, whether the machine room equipment works abnormally is judged, if the machine room equipment works abnormally, the step S7 is executed, and if the machine room equipment works abnormally, the step S4 is returned to continue capturing the machine room image data. The specific operation is as follows:
s61, image information acquisition: acquiring input image information through a network camera;
s62, image preprocessing: carrying out operations such as image acquisition, image enhancement, image denoising, Canny edge extraction and the like;
s63, image feature extraction: extracting the characteristics of the image such as color, texture, edge, shape and the like;
s64, image classification and judgment: carrying out structural analysis and description according to the image characteristics, and judging information such as equipment type, equipment state and the like;
s65, image analysis and comparison: analyzing and comparing the normal image data and the input image data according to a user-defined rule, and judging whether the identified image data is normal or not;
s66, outputting the result: and outputting an image recognition result, wherein the output result comprises the equipment type, the equipment position, the equipment indicator lamp state, the equipment working state and the like, and outputting a judgment result comprising three states of normal operation, abnormal operation and unknown operation of the equipment.
S7, warning or early warning: when the equipment in the machine room is abnormal, real-time warning or warning in advance is carried out in the forms of web, sound and light, telephone, short message and the like so as to inform workers. The alarm information includes the device name, the device location, the current data of the device, the historical data of the device, the abnormal information of the device, etc. The specific operation is as follows:
s71, when the machine room monitoring equipment does not accord with the working threshold parameter defined by the user in advance, starting a real-time alarm;
s72, when the output result of the image recognition step is abnormal, starting a pre-alarm;
s73, when the highest level alarm is triggered, the system may initiate an emergency response, with the highest level alarm event being available for customization in the initialization of the system at step S3.
And S8, capturing an alarm image, triggering alarm linkage when an alarm or early warning occurs, and acquiring pictures or videos of abnormal working equipment at the moment of the alarm or early warning by a camera.
Further, the alarm image capturing includes real-time alarm image capturing and pre-alarm image capturing, both of which are alarm linkage contents, and the user of the alarm linkage contents can customize the system initialization in step S3. The alarm linkage content comprises an alarm event, an alarm level, a snapshot of an alarm picture, a recording of an alarm video and the like.
S9, Web display: and viewing the machine room monitoring data locally or remotely through a Web display.
Further, the Web display module can record each alarm event and generate an alarm event recording information table in the SQLite database, and a user can respectively retrieve monitoring information and check the alarm event according to the equipment type and the camera position.
And S10, the staff checks the abnormal alarm event and releases the alarm.
The foregoing shows and describes the general principles and broad features of the present invention and advantages thereof. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, which are described in the specification and illustrated only to illustrate the principle of the present invention, but that various changes and modifications may be made therein without departing from the spirit and scope of the present invention, which fall within the scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (10)
1. The utility model provides an image recognition device for computer lab control, includes image recognition device, its characterized in that: the image recognition device is used for carrying out real-time monitoring, image recognition, accurate positioning and intelligent early warning on a machine room security environment, the image recognition device comprises a microprocessor module, a communication module, an image capturing module, an image recognition module, a Web display module, an early warning module and a storage module, the microprocessor module is used for controlling the image capturing module to carry out snapshot and video recording, image recognition information after processing is obtained according to the image recognition module, the machine room monitoring environment is mastered, the microprocessor module comprises a CPU (Central processing Unit), a memory, a Nand flash and a TF (Transflash) card for storage, the running environment can be provided for an embedded system, and the CPU adopts an ARM (advanced RISC machine) machine with high speed, low power consumption and supporting the embedded operating system.
2. The image recognition device for machine room monitoring according to claim 1, wherein: the communication module is used for sending the machine room data captured by the image capturing module to a national standard server platform and accessing the machine room monitoring data uploaded to the national standard server platform, the module supports two communication modes of wired communication and wireless communication, the national standard server platform refers to a GB28181 national standard platform, and the image recognition device and the national standard server platform perform information interaction in a push-pull flow mode.
3. The image recognition device for machine room monitoring according to claim 1, wherein: the image capturing module is used for capturing data of various Power equipment, environmental systems and security systems in a machine room, the image capturing module comprises a camera module and a Power supply module, the camera module comprises one or more than one camera, the camera module is mainly used for acquiring machine room monitoring data, and has the functions of real-time monitoring, picture snapshot and video recording, the Power supply module supports two Power supply modes of an external Power supply and Power Over Ethernet (POE) Power supply, and the POE Power supply can also provide direct current Power supply for the network camera equipment.
4. The image recognition device for machine room monitoring according to claim 1, wherein: the image recognition module is used for processing the image data acquired by the image capturing module and outputting an analysis result, when the output result reports that the equipment works abnormally, the linkage early warning module records an alarm event and informs workers, the linkage image capturing module carries out image capturing or video recording on the abnormal working equipment, and the image recognition process mainly comprises the steps of image information acquisition, image preprocessing, image feature extraction and image classification judgment.
5. The image recognition device for machine room monitoring according to claim 1, wherein: the Web display module is used for checking machine room monitoring data and supporting two modes of local and remote access, the machine room monitoring data mainly comprises equipment information, equipment positions, equipment indicator light states, alarm events, alarm linkage snapshot pictures, alarm linkage recording videos, real-time monitoring videos, historical monitoring videos and image identification data, the Web display module is realized by adopting a B/S structure and a Web service technology, has a graphical interface with rich images, and can provide automatic information exchange in the system.
6. The image recognition device for machine room monitoring according to claim 1, wherein: the early warning module is used for positioning a warning position, sending warning information and starting an emergency response, supports various warning modes of web, sound and light, telephone and short message, and comprises a real-time warning module and a pre-warning module, wherein the real-time warning module adopts a combined warning mode, a user needs to pre-define a threshold parameter when a machine room monitoring device normally works, the combined image capturing module carries out image capturing and video recording on abnormally working equipment when the equipment parameter is abnormal, and starts real-time warning, the pre-warning module adopts an advanced image recognition technology to carry out early warning, mainly carries out contrastive analysis according to the normal working image data of the equipment stored by the system, the real-time image data collected by the image capturing module and the image data analyzed and processed by the image recognition module, and starts pre-warning when the result is abnormal.
7. The image recognition device for machine room monitoring according to claim 1, wherein: the storage module is used for storing equipment information, alarm events, captured image data, image identification data and other machine room monitoring data, has a breakpoint continuous transmission function, supports two modes of SQLite database storage and local hard disk storage, can store the locally stored alarm data and monitoring data in different directories, and respectively divides the sub-directories according to the monitored equipment and the camera, and can be used for user-defined information query including alarm equipment, time period, place, alarm type and alarm level information.
8. The use method of the image recognition device for machine room monitoring is characterized in that: the method comprises the following working steps:
s1, reasonably arranging the positions of the cameras in the machine room to enable all the equipment in the machine room to be in a monitoring range;
s2, starting the image recognition device: the system comprises a computer room camera, a Web display and an alarm;
s2, initializing the system;
s4, real-time image capture: real-time monitoring and image capturing are carried out on the machine room environment;
s5, data storage: the monitoring data of the machine room are stored in a classified mode according to the type of the equipment and the position of the camera;
s6, image recognition: processing machine room monitoring data captured or recorded by a camera through an image recognition technology;
s7, warning or early warning: when the equipment in the machine room is abnormal, giving an alarm in real time or in advance and informing workers;
s8, capturing an alarm image, triggering alarm linkage when an alarm or early warning occurs, and acquiring pictures or videos of abnormal working equipment at the moment of the alarm or early warning by a camera;
s9, Web display: the monitoring data of the machine room is checked locally or remotely through a Web display;
and S10, the staff checks the abnormal alarm event and releases the alarm.
9. The use method of the image recognition device for machine room monitoring according to claim 8, characterized in that: the specific operation of step S6 is as follows:
s61, image information acquisition: acquiring input image data through a camera;
s62, image preprocessing: image acquisition, image enhancement, image denoising and Canny edge extraction;
s63, image feature extraction: extracting color, texture, edge and shape characteristics of the image;
s64, image classification and judgment: carrying out structural analysis and description according to the image characteristics;
s65, image analysis and comparison: analyzing and comparing the normal image data and the input image data according to a user-defined rule, and judging whether the identified image data is normal or not;
s66, outputting the result: and outputting an image recognition result.
10. The use method of the image recognition device for machine room monitoring according to claim 8, characterized in that: the specific operation of step S7 is as follows:
s71, when the machine room monitoring equipment does not accord with the pre-defined working threshold parameter, starting a real-time alarm;
s72, when the image recognition module analyzes and finds that the equipment works abnormally, starting a pre-alarm;
s73, when the highest level alarm is triggered, the system may initiate an emergency response.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210580423.XA CN114979580A (en) | 2022-05-25 | 2022-05-25 | Image recognition device and method for machine room monitoring |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210580423.XA CN114979580A (en) | 2022-05-25 | 2022-05-25 | Image recognition device and method for machine room monitoring |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN114979580A true CN114979580A (en) | 2022-08-30 |
Family
ID=82955327
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210580423.XA Pending CN114979580A (en) | 2022-05-25 | 2022-05-25 | Image recognition device and method for machine room monitoring |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114979580A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117079211A (en) * | 2023-08-16 | 2023-11-17 | 广州腾方科技有限公司 | Safety monitoring system and method for network machine room |
| CN117671606A (en) * | 2024-02-01 | 2024-03-08 | 四川并济科技有限公司 | Intelligent image recognition system and method based on neural network model |
-
2022
- 2022-05-25 CN CN202210580423.XA patent/CN114979580A/en active Pending
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117079211A (en) * | 2023-08-16 | 2023-11-17 | 广州腾方科技有限公司 | Safety monitoring system and method for network machine room |
| CN117079211B (en) * | 2023-08-16 | 2024-06-04 | 广州腾方科技有限公司 | Safety monitoring system and method for network machine room |
| CN117671606A (en) * | 2024-02-01 | 2024-03-08 | 四川并济科技有限公司 | Intelligent image recognition system and method based on neural network model |
| CN117671606B (en) * | 2024-02-01 | 2024-04-02 | 四川并济科技有限公司 | Intelligent image recognition system and method based on neural network model |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN114979580A (en) | Image recognition device and method for machine room monitoring | |
| CN103268680B (en) | A kind of family intelligent monitoring burglary-resisting system | |
| CN101266696B (en) | An integrated control method and system for monitoring system and door control system | |
| CN101409463A (en) | Protection and video system gang control method for electric power system digitalization transforming plant | |
| CN201887888U (en) | Network video monitor system | |
| CN101702771B (en) | Network video intelligent monitoring system and method | |
| CN101860731A (en) | Video information processing method, system and server | |
| CN101778265A (en) | Exception event detection and double-stream coding-based video monitoring method | |
| CN111259748A (en) | Edge calculation and communication system for video monitoring | |
| CN1558679A (en) | Intelligent video content monitoring system based on IP network | |
| CN1960480A (en) | TV monitor system and implement method | |
| CN209402635U (en) | A kind of monitoring of transformer substation video and intelligent analysis system | |
| CN201430657Y (en) | Public security network video monitoring system | |
| CN113537790A (en) | Super-fusion management platform | |
| CN115103157A (en) | Video analysis method and device based on edge cloud cooperation, electronic equipment and medium | |
| CN115116004A (en) | Office area abnormal behavior detection system and method based on deep learning | |
| CN103454228B (en) | Adopt the flue gas blackness supervisory system of motion detecting technology | |
| CN102694845A (en) | Tri-network converged mobile phone anti-theft monitoring system | |
| CN104680688B (en) | Anti-theft alarm remote network snapshooting and monitoring device based on traffic signal controller | |
| CN202472833U (en) | ARM platform based remote motion detecting and monitoring alarm device | |
| CN110697517A (en) | Elevator control method, system and storage medium based on cell | |
| CN115393340A (en) | AI vision product quality detection system based on 5G algorithm | |
| CN209845008U (en) | Cluster monitoring system based on system on chip | |
| CN112488827A (en) | Artificial intelligence detects bank outlet wind accuse and management system | |
| CN113347385A (en) | Video stream transmission method, device, equipment and medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |