CN110796754A - Machine room inspection method based on image processing technology - Google Patents
Machine room inspection method based on image processing technology Download PDFInfo
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- CN110796754A CN110796754A CN201910878099.8A CN201910878099A CN110796754A CN 110796754 A CN110796754 A CN 110796754A CN 201910878099 A CN201910878099 A CN 201910878099A CN 110796754 A CN110796754 A CN 110796754A
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Abstract
The invention provides a machine room inspection method based on an image processing technology, which comprises the following steps: s1, shooting a holographic image of the computer room scene by using a holographic camera; s2, acquiring a panoramic image of the machine room according to the cylindrical projection method, and acquiring space coordinate information of all equipment in the machine room; s3, carrying out image registration and image fusion on the holographic image according to the panoramic image and the space coordinate information to obtain a machine room panoramic image; s4, collecting pictures of each device in the machine room according to the routing inspection route, and processing the pictures through an image recognition technology to obtain device data; and S5, displaying the panoramic picture of the computer room and the data corresponding to each device at the WEB end. And S6, analyzing the data according to the custom rule, and giving an alarm for the data which do not accord with the rule. The method can efficiently and accurately obtain the three-dimensional modeling of the machine room and the data of the equipment of the machine room, provide visual data display for the inspection personnel of the machine room, and can quickly give an alarm for the fault equipment.
Description
Technical Field
The invention relates to an automatic machine room inspection method, and belongs to the technical field of automatic inspection.
Background
Electric power is a major basic service type industry in the field of industrial construction in China and is related to the development of the national civilians. With the continuous development of electronic information technology, the information technology is rapidly fused with information communication management in the past without the breadth and depth, and the automatic intelligent requirement of the power system is continuously increased. How to scientifically and efficiently complete the electric power information communication management task, and more effectively realize the standardized, scientific, efficient and integrated management of the information communication machine room, and is of great importance for improving the business competitiveness of the information machine room management.
The machine room inspection is the most basic work content of information communication machine room management, and is a ring with higher technical difficulty in machine room management operation. The machine room patrol inspection requirement is on the premise of ensuring safe operation of an electric power system, comprehensive perception, dynamic analysis and timely early warning of states of machine room equipment and channel environments are achieved, and management personnel are operated and inspected by levels to effectively manage and control the machine room. Most of the existing machine room inspection methods adopt a mode of manual inspection and video monitoring, the labor cost of the inspection method is high, due to the defects of manual operation, fault equipment cannot be timely positioned when the machine room equipment fails, the inspection accuracy and timeliness are insufficient, and the machine room inspection needs a management platform which is more convenient, visual, accurate and capable of interacting in real time.
Disclosure of Invention
The invention aims to provide a machine room inspection method, which is characterized in that image information of machine room equipment, channels and the like is obtained based on an image processing technology, a three-dimensional virtual machine room model is accurately constructed by using three-dimensional scanning and three-dimensional reconstruction technologies, working data of each equipment in a machine room are sequentially acquired in real time, the working data and the three-dimensional model are correlated and then displayed at a WEB end, and the position of fault equipment is accurately positioned and the data of the fault equipment is displayed by using the three-dimensional model when the equipment is in fault.
In order to solve the technical problems, the invention adopts the following technical means:
a machine room inspection method based on an image processing technology specifically comprises the following steps:
s1, shooting a holographic image of a machine room scene by using a holographic camera, wherein the machine room scene comprises equipment, machine room channels and a pipe network structure in a machine room;
s2, acquiring a panoramic image of the machine room according to the cylindrical projection method, and acquiring space coordinate information of the machine room and all devices in the machine room;
s3, according to the panoramic image and the space coordinate information, after image preprocessing and unified coordinate transformation are carried out on the holographic image, image registration and image fusion are carried out, and a machine room panoramic image is obtained;
s4, acquiring pictures of each device in the machine room according to the routing inspection route, and processing the pictures through an image recognition technology to obtain detection data and working state data of each device;
s5, storing the machine room panoramic image and the collected data into a database, and displaying the machine room panoramic image and the data corresponding to each device on a WEB side;
and S6, analyzing the data according to the self-defined rule, and entering an alarm mode and displaying alarm information when the data which do not accord with the rule exist.
Further, equipment includes rack, distribution frame, instrument equipment and network equipment, instrument equipment includes voltage sensor, current sensor, temperature and humidity sensor and oscilloscope, network equipment includes optic fibre, net twine, server, switch and router.
Further, the spatial coordinate information in step S2 refers to coordinates of a center point of any device in a three-dimensional coordinate system established with a vertex of any one corner of the machine room as an origin of the coordinate system.
Further, the image preprocessing includes smoothing filtering.
Further, the specific operation of step S4 is as follows:
s41, setting a routing inspection route in the background server, wherein the routing inspection route comprises a routing inspection sequence and a routing inspection time interval;
s42, sequentially shooting pictures of all equipment in the machine room by using a high-definition camera according to the routing inspection route;
s43, processing the picture of the instrument equipment through an image recognition algorithm to obtain the measurement data displayed by the instrument equipment at the picture shooting time;
s44, processing the picture of the network equipment through an image recognition algorithm, and analyzing to obtain the working state data of the equipment, wherein the working state data comprises the working state of the equipment at the picture shooting moment, and the working state comprises working and non-working.
Further, the specific operation of step S5 is as follows:
s51, storing the machine room panoramic image into a database, and establishing a data storage table corresponding to the machine room panoramic image in the database;
s52, sequentially storing the name of the instrument device, the measurement data of the instrument device, the space coordinate of the instrument device, the name of the network device, the working state data of the network device and the space coordinate of the network device into a data storage table;
and S53, the WEB side displays the panoramic image of the computer room and the data corresponding to each device according to the data stored in the database.
Further, the specific operation of step S6 is as follows:
s61, analyzing data in real time according to a custom rule, wherein the custom rule is used for limiting the value range of all the instrument equipment measurement data and the working state of the network equipment within a fixed time or a time period;
s62, when the data of a certain device does not accord with the rule, the background server sends out an acousto-optic alarm, and the WEB side displays alarm information, wherein the alarm information comprises the name, the space coordinate, the current data and the historical data of the device;
and S63, generating an alarm routing inspection route, repeatedly acquiring pictures of the alarm equipment, and acquiring alarm equipment data until the alarm equipment data accord with rules.
Further, the machine room panoramic image comprises a 360-degree panoramic image of the whole machine room and a 360-degree panoramic image of a local area of the machine room.
The invention has the following beneficial effects:
according to the machine room inspection method based on the image processing technology, the holographic images are shot by directly utilizing the holographic camera, then the images are processed and spliced to obtain the panoramic image of the whole machine room, and the machine room 3D model is generated at the WEB end. Many high definition cameras of installation in the computer lab, the different camera is responsible for the photo of shooting different equipment, obtains the detection data and the operating condition data of each equipment through image recognition technology processing picture, masters the behavior of computer lab internal plant in real time, with data association to the computer lab panorama in, information and the running state of computer lab equipment can be demonstrateed directly perceivedly to the WEB end, the personnel of patrolling and examining can freely change the angle and the field of vision scope of panorama at the WEB end, and interactivity is stronger. The method can set the routing inspection route, comprehensively master the internal condition of the machine room through distributed real-time data acquisition, data analysis and detection, quickly position relevant equipment in the panoramic image aiming at the data which do not meet the requirements, preferentially process the picture data of the equipment, and intensively display the real-time data and the historical data of the equipment, thereby facilitating the routing inspection personnel to analyze the failure reason and make a maintenance plan. The method can automatically and comprehensively inspect the machine room, saves the labor cost, strengthens the production safety, provides real and reliable machine room information by utilizing the holographic image of the machine room, automatically analyzes the data of the machine room, gives a targeted alarm, effectively improves the inspection efficiency of the machine room and improves the response capability of machine room faults.
Drawings
Fig. 1 is a flow chart of steps of a machine room inspection method based on an image processing technology.
Detailed Description
The technical scheme of the invention is further explained by combining the accompanying drawings as follows:
the invention provides a machine room inspection method based on an image processing technology, which combines the field situation of an electric power system information communication management machine room and applies the technologies of three-dimensional scanning, three-dimensional reconstruction and the like to realize the accurate construction of a three-dimensional virtual machine room based on space coordinate information of machine room equipment, channels, pipe networks and the like. Machine room operation and maintenance personnel can browse the machine room environment, equipment and line structures through the virtual machine room, simulate routing inspection and key equipment routing inspection in a real environment, centrally manage the real-time running state and running data of complex detection equipment and software systems in the machine room, and timely give an alarm and position for equipment with potential safety hazards and abnormal states in a machine room information management system.
As shown in fig. 1, the method of the present invention comprises the steps of:
s1, shooting a holographic image of a machine room scene by using the holographic camera, wherein the machine room scene comprises machine room internal equipment, machine room channels, a pipe network structure and the like, and in the shooting process, images of multiple angles can be shot for the same area or equipment according to the actual condition of the machine room and the modeling requirement. In the method, the equipment is a general name, and the equipment mainly comprises a cabinet, a distribution frame, instrument equipment, network equipment and the like, wherein the instrument equipment comprises a voltage sensor, a current sensor, a temperature and humidity sensor, an oscilloscope and the like, and the network equipment comprises an optical fiber, a network cable, a server, a switch, a router and the like.
S2, acquiring a panoramic image of the machine room according to a cylindrical projection method, acquiring space coordinate information of the machine room and all devices in the machine room, and establishing a three-dimensional coordinate system by selecting a vertex of any corner of the machine room as a coordinate origin for facilitating subsequent image processing; for a device with a shape and a size which are not fixed or larger, such as a machine room channel, a pipeline, an optical fiber and the like, coordinates of several fixed points of the device are collected to form a coordinate set, and as a space coordinate of the device, for example, for a 4 m-long optical fiber connecting a server and a switch, coordinates of two end points and a quarter point of the optical fiber are collected.
S3, according to the machine room all-around images and the space coordinate information of each device obtained in the step S2, smoothing filtering is carried out on all the holographic images to remove noise, unified coordinate transformation is carried out on the images, then image registration and image fusion are carried out on the processed images, and a 360-degree panoramic image of the whole machine room and 360-degree panoramic images of key areas in a plurality of machine rooms are obtained.
S4, acquiring pictures of each device in the machine room according to the routing inspection route, and processing the pictures through an image recognition technology to obtain detection data and working state data of each device; the specific operation is as follows:
s41, the patrol personnel sets a patrol route in the background server, and the patrol personnel can designate the key equipment to patrol and define the patrol route and the stationing point. The routing inspection method has the advantages that the routing inspection method needs to include equipment for inspection, inspection sequence and inspection time intervals, due to the fact that a plurality of pieces of equipment are included in a machine room, inspection personnel can set the sequence of inspection equipment and the time intervals between each inspection according to the importance degree and the fault occurrence frequency of the equipment, the routing inspection method can be used for multiple routing inspection, and each piece of equipment for inspection and the time intervals can be different. If the inspection personnel want to check the working state of a certain device preferentially, the inspection personnel can operate at the WEB end to collect the picture of the device preferentially and analyze the data of the device.
S42, in order to achieve the purpose of automatic inspection, arranging a plurality of high-definition cameras in the machine room, sequentially shooting pictures of all devices in the machine room by using the high-definition cameras according to a set inspection route, and transmitting the shot pictures to a background server through a local area network.
S43, aiming at the instrument equipment, locking the area displaying the measurement data in the picture of the instrument equipment by using an image recognition algorithm, and analyzing the picture area to obtain the measurement data of the instrument equipment at the picture shooting moment.
And S44, aiming at the network equipment, identifying the network equipment in the picture through an image recognition algorithm, processing the picture according to the working principle of the network equipment, and analyzing to obtain the working state data of the equipment, wherein the working state data comprises the working state of the equipment at the moment of picture shooting, and the working state generally comprises working and non-working. For example, if the optical fiber is connected to the server, the optical fiber interface should have yellow light, a picture including the optical fiber is collected, the optical fiber in the picture is firstly identified and the position of the optical fiber interface is determined, then the RGB color value of the picture at the interface is analyzed and compared with the RGB color value range set in the background server, so as to determine whether the optical fiber is connected.
S5, storing the machine room panoramic image and the collected data into a database, and displaying the machine room panoramic image and the data corresponding to each device on a WEB side, wherein the specific operations are as follows:
and S51, storing the machine room panoramic image obtained in the step S3 into a database, and establishing a data storage table corresponding to the machine room panoramic image in the database.
And S52, sequentially storing data such as the name of the instrument device, the measurement data of the instrument device, the space coordinate of the instrument device, the name of the network device, the working state data of the network device, the space coordinate of the network device and the like into a data storage table according to the data obtained in the step S4, and realizing the association between the device data and the three-dimensional model of the device.
S53, retrieving the panoramic image and the data stored in the database at the WEB end, displaying the panoramic image of the machine room and the data corresponding to each device, generating the current measurement data or working state of the window display device beside the position of each device in the panoramic image of the machine room, and displaying the real-time data and the historical data of the device in a popup window when an operator clicks the device. The WEB end can provide two display modes of a computer end and a mobile phone end, and can also develop mobile phone software to call and display the panoramic image and data in the software.
S6, analyzing the data according to the self-defined rule, entering an alarm mode and displaying alarm information when the data which does not conform to the rule exists, wherein the alarm mode is one of the core parts of the method, and the specific operation is as follows:
s61, the inspection operator may customize rules on the background server, where the customized rules are used to limit the value ranges of all the measured data of the meter devices and the operating states of the network devices within a fixed time or a fixed time period, that is, the customized rules should include specific time or a specific time period, the value ranges of the measured data of the meter devices, and the operating states of the network devices.
S62, after the data of the equipment is obtained, the background server directly compares the collected data with the data in the custom rule, when the data of one equipment does not accord with the rule, the background server sends out an audible and visual alarm, the WEB side displays alarm information, and the alarm information mainly comprises the name, the space coordinate, the current data and the historical data of the equipment.
S63, when a fault device occurs, the background server can automatically generate a routing inspection route of the alarm mode, rapidly and repeatedly acquire pictures of the alarm device, acquire alarm device data and feed the data back to the WEB end, so that inspection personnel can conveniently know the condition of the device in real time, analyze fault reasons and make a maintenance plan, and when the data of the alarm device conforms to rules, the alarm mode can be removed, the routing inspection route of the alarm mode is cancelled, and the equipment in the machine room can be continuously inspected according to the original routing inspection route.
The method adopts the holographic image to carry out three-dimensional modeling, has high modeling speed and high modeling precision, automatically collects and analyzes data equipment, and combines the data equipment with the three-dimensional model for display, thereby improving the timeliness and interactivity of the machine room routing inspection, enabling routing inspection personnel to visually inspect the working state of the equipment in each area of the machine room, being capable of quickly positioning fault equipment during fault, displaying fault equipment data, facilitating the routing inspection personnel to inspect and maintain and effectively improving the efficiency and accuracy of the machine room routing inspection.
The embodiments of the present invention have been described in detail with reference to the drawings, but the present invention is not limited to the above embodiments, and various changes can be made within the knowledge of those skilled in the art without departing from the gist of the present invention.
Claims (8)
1. A machine room inspection method based on an image processing technology is characterized by comprising the following steps:
s1, shooting a holographic image of a machine room scene by using a holographic camera, wherein the machine room scene comprises equipment, machine room channels and a pipe network structure in a machine room;
s2, acquiring a panoramic image of the machine room according to the cylindrical projection method, and acquiring space coordinate information of the machine room and all devices in the machine room;
s3, according to the panoramic image and the space coordinate information, after image preprocessing and unified coordinate transformation are carried out on the holographic image, image registration and image fusion are carried out, and a machine room panoramic image is obtained;
s4, acquiring pictures of each device in the machine room according to the routing inspection route, and processing the pictures through an image recognition technology to obtain detection data and working state data of each device;
s5, storing the machine room panoramic image and the collected data into a database, and displaying the machine room panoramic image and the data corresponding to each device on a WEB side;
and S6, analyzing the data according to the self-defined rule, and entering an alarm mode and displaying alarm information when the data which do not accord with the rule exist.
2. The machine room inspection method based on the image processing technology, according to claim 1, wherein the equipment comprises a cabinet, a distribution frame, instrument equipment and network equipment, the instrument equipment comprises a voltage sensor, a current sensor, a temperature and humidity sensor and an oscilloscope, and the network equipment comprises an optical fiber, a network cable, a server, a switch and a router.
3. The machine room inspection method based on the image processing technology of claim 1, wherein the spatial coordinate information in the step S2 refers to coordinates of any equipment center point in a three-dimensional coordinate system established with a vertex of any one corner of the machine room as a coordinate system origin.
4. The machine room inspection method based on the image processing technology, as claimed in claim 1, wherein the image preprocessing comprises smoothing filtering.
5. The machine room inspection method based on the image processing technology, as claimed in claim 4, wherein the specific operation of step S4 is as follows:
s41, setting a routing inspection route in the background server, wherein the routing inspection route comprises a routing inspection sequence and a routing inspection time interval;
s42, sequentially shooting pictures of all equipment in the machine room by using a high-definition camera according to the routing inspection route;
s43, processing the picture of the instrument equipment through an image recognition algorithm to obtain the measurement data displayed by the instrument equipment at the picture shooting time;
s44, processing the picture of the network equipment through an image recognition algorithm, and analyzing to obtain the working state data of the equipment, wherein the working state data comprises the working state of the equipment at the picture shooting moment, and the working state comprises working and non-working.
6. The machine room inspection method based on the image processing technology, as claimed in claim 1, wherein the specific operation of step S5 is as follows:
s51, storing the machine room panoramic image into a database, and establishing a data storage table corresponding to the machine room panoramic image in the database;
s52, sequentially storing the name of the instrument device, the measurement data of the instrument device, the space coordinate of the instrument device, the name of the network device, the working state data of the network device and the space coordinate of the network device into a data storage table;
and S53, the WEB side displays the panoramic image of the computer room and the data corresponding to each device according to the data stored in the database.
7. The machine room inspection method based on the image processing technology, as claimed in claim 1, wherein the specific operation of step S6 is as follows:
s61, analyzing data in real time according to a custom rule, wherein the custom rule is used for limiting the value range of all the instrument equipment measurement data and the working state of the network equipment within a fixed time or a time period;
s62, when the data of a certain device does not accord with the rule, the background server sends out an acousto-optic alarm, and the WEB side displays alarm information, wherein the alarm information comprises the name, the space coordinate, the current data and the historical data of the device;
and S63, generating an alarm routing inspection route, repeatedly acquiring pictures of the alarm equipment, and acquiring alarm equipment data until the alarm equipment data accord with rules.
8. The machine room inspection method based on the image processing technology, as claimed in any one of claims 1 to 7, wherein the machine room panoramic view includes a 360 ° panoramic view of the whole machine room and a 360 ° panoramic view of a local area of the machine room.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN111432183A (en) * | 2020-04-29 | 2020-07-17 | 武汉烽火技术服务有限公司 | System and method for remotely inspecting rail transit equipment machine room |
| CN111507647A (en) * | 2020-04-10 | 2020-08-07 | 江苏锐创软件技术有限公司 | 3D visual presentation method and system of IT data center scene and storage medium |
| CN111738148A (en) * | 2020-06-22 | 2020-10-02 | 复旦大学 | Fault identification method by utilizing infrared inspection shooting |
| CN116957309A (en) * | 2023-09-21 | 2023-10-27 | 深圳市明心数智科技有限公司 | Textile scene dynamic monitoring method, system and medium |
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| CN110363878A (en) * | 2019-07-31 | 2019-10-22 | 国网天津市电力公司 | A kind of computer room method for inspecting based on image processing techniques |
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| CN110363878A (en) * | 2019-07-31 | 2019-10-22 | 国网天津市电力公司 | A kind of computer room method for inspecting based on image processing techniques |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111507647A (en) * | 2020-04-10 | 2020-08-07 | 江苏锐创软件技术有限公司 | 3D visual presentation method and system of IT data center scene and storage medium |
| CN111507647B (en) * | 2020-04-10 | 2023-06-16 | 江苏锐创软件技术有限公司 | 3D visual presentation method, system and storage medium for IT data center scene |
| CN111432183A (en) * | 2020-04-29 | 2020-07-17 | 武汉烽火技术服务有限公司 | System and method for remotely inspecting rail transit equipment machine room |
| CN111738148A (en) * | 2020-06-22 | 2020-10-02 | 复旦大学 | Fault identification method by utilizing infrared inspection shooting |
| CN111738148B (en) * | 2020-06-22 | 2024-02-20 | 复旦大学 | Fault identification method using infrared inspection shooting |
| CN116957309A (en) * | 2023-09-21 | 2023-10-27 | 深圳市明心数智科技有限公司 | Textile scene dynamic monitoring method, system and medium |
| CN116957309B (en) * | 2023-09-21 | 2024-01-09 | 深圳市明心数智科技有限公司 | Textile scene dynamic monitoring method, system and medium |
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