CN113194140A - Integrated remote monitoring system based on fire-fighting robot - Google Patents
Integrated remote monitoring system based on fire-fighting robot Download PDFInfo
- Publication number
- CN113194140A CN113194140A CN202110470759.6A CN202110470759A CN113194140A CN 113194140 A CN113194140 A CN 113194140A CN 202110470759 A CN202110470759 A CN 202110470759A CN 113194140 A CN113194140 A CN 113194140A
- Authority
- CN
- China
- Prior art keywords
- robot
- data
- robot body
- control
- fire
- 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.)
- Granted
Links
- 238000012544 monitoring process Methods 0.000 title claims abstract description 42
- 230000008447 perception Effects 0.000 claims abstract description 20
- 230000003993 interaction Effects 0.000 claims abstract description 18
- 230000006855 networking Effects 0.000 claims abstract description 8
- 230000007474 system interaction Effects 0.000 claims abstract description 4
- 238000012545 processing Methods 0.000 claims description 9
- 238000000034 method Methods 0.000 claims description 8
- 238000013135 deep learning Methods 0.000 claims description 5
- 238000005516 engineering process Methods 0.000 claims description 5
- 230000002452 interceptive effect Effects 0.000 claims description 5
- 238000001914 filtration Methods 0.000 claims description 4
- 238000012549 training Methods 0.000 claims description 4
- 238000010801 machine learning Methods 0.000 claims description 3
- 230000008569 process Effects 0.000 claims description 3
- 238000013528 artificial neural network Methods 0.000 claims description 2
- 238000007781 pre-processing Methods 0.000 claims description 2
- 230000009467 reduction Effects 0.000 claims description 2
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 2
- 230000010354 integration Effects 0.000 claims 1
- 230000006870 function Effects 0.000 description 7
- 238000004891 communication Methods 0.000 description 3
- 238000010586 diagram Methods 0.000 description 2
- 230000007613 environmental effect Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004140 cleaning Methods 0.000 description 1
- 239000008358 core component Substances 0.000 description 1
- 238000007418 data mining Methods 0.000 description 1
- 238000004200 deflagration Methods 0.000 description 1
- 238000012217 deletion Methods 0.000 description 1
- 230000037430 deletion Effects 0.000 description 1
- 238000013507 mapping Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000004044 response Effects 0.000 description 1
- 238000007619 statistical method Methods 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
Images
Classifications
-
- 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]
- H04L67/025—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP] for remote control or remote monitoring of applications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/22—Procedures used during a speech recognition process, e.g. man-machine dialogue
-
- 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
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W84/00—Network topologies
- H04W84/18—Self-organising networks, e.g. ad-hoc networks or sensor networks
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/22—Procedures used during a speech recognition process, e.g. man-machine dialogue
- G10L2015/223—Execution procedure of a spoken command
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Signal Processing (AREA)
- Computer Networks & Wireless Communication (AREA)
- Health & Medical Sciences (AREA)
- Physics & Mathematics (AREA)
- Tourism & Hospitality (AREA)
- General Health & Medical Sciences (AREA)
- General Business, Economics & Management (AREA)
- Audiology, Speech & Language Pathology (AREA)
- Strategic Management (AREA)
- Marketing (AREA)
- Human Resources & Organizations (AREA)
- General Physics & Mathematics (AREA)
- Economics (AREA)
- Theoretical Computer Science (AREA)
- Computational Linguistics (AREA)
- Primary Health Care (AREA)
- Human Computer Interaction (AREA)
- Acoustics & Sound (AREA)
- Multimedia (AREA)
- Educational Administration (AREA)
- Development Economics (AREA)
- Computing Systems (AREA)
- Medical Informatics (AREA)
- Manipulator (AREA)
- Alarm Systems (AREA)
Abstract
The invention discloses an integrated remote monitoring system based on a fire-fighting robot, which comprises a robot body, an operation server, platform monitoring software and a client monitoring end, wherein the operation server is connected with the robot body; the robot body is provided with a data acquisition unit, a Beidou positioning unit and a mesh networking unit; the platform monitoring software deployed on the operation server comprises a voice interaction module, an environment perception module, a control display module and a database management module; the robot body and the operation server realize information interaction through an mqtt protocol, and the client monitoring end is used for a user to access the operation server platform monitoring software to realize system interaction control display. The monitoring system expands the control interaction mode of the fire-fighting robot, improves the remote control level of the robot, and is suitable for fire rescue work in key areas such as petrochemical high-risk industries.
Description
Technical Field
The invention belongs to the field of fire fighting, and particularly relates to an integrated remote monitoring system based on a fire-fighting robot.
Background
In recent years, the petrochemical industry in China has a severe safety situation, the number of extremely serious disasters is increased, the rescue field environment is more and more complex, and the conventional fire-fighting equipment and the rescue fire-fighting mode face a great challenge. The traditional voice scheduling and decision-making method is difficult to meet the command and combat requirements of disaster sites in new situations. In addition, the current command and control system lacks systematicness and linkage to the management and control of high-end equipment, and because the linkage of the platform lags behind, the monitoring system often forms an information isolated island, and especially under the current high informatization, automation and intelligent form, the integrated remote monitoring, information sharing and integrated command and control of the fire-fighting robot are realized, and it is very necessary to promote front-end information display and space multidimensional information interaction. Therefore, the problems that the traditional command control rescue scheme is poor in environmental adaptability, low in intelligent informatization level, insufficient in cooperation capability, lack in unified command control and the like are mainly solved.
Disclosure of Invention
In order to solve the technical problems, the invention discloses an integrated remote monitoring system based on a fire-fighting robot, which realizes remote monitoring functions of environment perception, personnel perception, intelligent voice interaction and the like of a rescue site through a fire-fighting robot terminal and platform control software, expands a control interaction mode of the fire-fighting robot, promotes the remote intelligent control level of the robot, and is suitable for fire rescue work of key areas such as petrochemical high-risk industries and the like.
The technical scheme adopted by the invention is as follows: an integrated remote monitoring system based on a fire-fighting robot comprises a robot body, an operation server, platform monitoring software and a client monitoring end. The robot body carries a data acquisition unit, a Beidou positioning unit and a mesh networking unit. The platform monitoring software deployed on the operation server comprises a voice interaction module, an environment perception module, a control display module and a database management module and is responsible for processing logic judgment and communication display functions. The robot body and the operation server realize information interaction through an mqtt protocol, and a user can access the operation server platform monitoring software through an operation station or a pc end web browser at a client monitoring end to realize system interaction control display.
The integrated remote monitoring system based on the fire-fighting robot adopts a three-layer architecture mode of an acquisition execution layer, an operation service layer and a client monitoring layer. The acquisition execution layer comprises a robot cluster consisting of a plurality of robot bodies, and each robot body is provided with a high-definition camera, a sound pickup and a Beidou positioning and position sensor and is used for acquiring surrounding environment information and state information of the robot body;
the operation service layer completes perception operation and processing based on machine learning and deep learning technologies according to audio and video information collected by the robot cluster, and realizes perception of a site environment target and remote control of walking and fire fighting operation of the robot body. The operation service layer also comprises a perfect database management function, data query and trace can be carried out on the collected data and the perception result, and simultaneously, big data cross statistical analysis is carried out on the collected data on the basis of data cleaning and data mining to form an expert knowledge base.
And the client monitoring layer realizes interactive display and remote control of a user and the robot body at a client monitoring end.
The invention has the beneficial effects that: the command control technology and the tactical response level integrated application technology of the fire-fighting robot are utilized, all core components, a core database, key software and a system are integrated, the communication compatibility requirement of the existing fire-fighting command control system is considered, a unified comprehensive remote control platform based on the fire-fighting robot is constructed, under the guidance of fire-fighting operation skills, real-time, efficient, safe and intelligent command control, cooperation and supervision of the fire-fighting robot can be realized, the problems of poor adaptability, low intelligent level, insufficient cooperation capability and the like of the existing robot cluster operation in a petrochemical deflagration environment are effectively solved, the fire-fighting rescue efficiency is improved, and the casualties and property loss of people in emergency rescue are reduced.
Drawings
FIG. 1 is a schematic diagram of the system configuration of the present invention.
FIG. 2 is a functional block diagram of the system according to the present invention.
FIG. 3 is a flow chart of the perceptual computation and processing of the computation service layer.
Detailed Description
The present invention will be described in further detail with reference to the following examples and the accompanying drawings.
As shown in fig. 1, an integrated remote monitoring system based on a fire-fighting robot comprises a robot body, an arithmetic server, platform monitoring software and a client monitoring end. The robot body carries a data acquisition unit, a Beidou positioning unit and a mesh networking unit. The platform monitoring software deployed on the operation server comprises a voice interaction module, an environment perception module, a control display module and a database management module and is responsible for processing logic judgment and communication display functions. The robot body and the operation server realize information interaction through an mqtt protocol, and the client monitoring end has the function that a user accesses the operation server platform monitoring software through an operation station or a pc end web browser to realize system interaction control display.
As shown in fig. 2, an integrated remote monitoring system function architecture based on a fire-fighting robot includes a three-layer architecture of an acquisition execution layer, an operation service layer and a client monitoring layer.
The acquisition execution layer comprises a robot cluster consisting of a plurality of robot bodies, and each robot body is provided with a networking module, a navigation module and a perception sensor.
Furthermore, a mesh networking module is arranged in the robot body, and data information interaction between the robot bodies is realized through an autonomous network mode;
furthermore, a Beidou positioning unit is arranged in the robot body and used for acquiring actual positioning information of the robot body, and an inertial navigation unit is fused according to the positioning information to perform multi-robot following control;
furthermore, the robot body and the operation server realize data publishing and subscribing through an mqtt protocol, and the operation server acquires data information of each robot body through platform monitoring software.
The operation service layer is composed of platform monitoring software deployed in an operation server, and the platform monitoring software comprises an environment sensing module, a voice interaction module, a control display module and a database management module.
The operation service layer has the functions of: according to environmental information (including audio and video data information) collected by the robot cluster, perception operation and processing are completed through images based on machine learning and deep learning technologies, and the perception of site environment targets and pedestrian states and the walking and fire fighting operation of the remote voice control robot body are achieved. And completing the increase and decrease deletion, query, statistics and management of the database of the collected data, the sensing result, the state data and the alarm data.
The platform monitoring software is used for carrying out database management on data generated by the operation of the robot body based on the relational database, so that the universal query of the data is facilitated, and the operation process is made to be traceable. And simultaneously, performing cross statistics on the operation data of the multi-robot cluster to form a data closed loop and an expert knowledge base.
The sensing operation and processing flow chart is shown in fig. 3. The perceptual computation and processing comprises the steps of:
the method comprises the following steps: audio and video information collected by the robot cluster is used as a data perception data source;
step two: for the audio data, carrying out noise reduction preprocessing on the audio data, training and producing an audio model by keywords, loading the model into an algorithm, inputting a data source for monitoring interaction, analyzing the keywords and then associating a control command, and executing the step four to realize voice control on the robot;
step three: for video data, carrying out filtering pretreatment on the video data, carrying out deep learning training on a target sample to produce a network model, loading the network model into a neural network algorithm, inputting image data subjected to filtering pretreatment to obtain a perception result, carrying out logic operation on the result, and outputting alarm information;
step four: and based on the analysis results of the audio data and the video data, summarizing the control state data into control state data and sending the control state data to the robot body, so that intelligent sensing operation is realized.
And the client monitoring layer is used for realizing interactive display and remote control operation at a client monitoring end. The method specifically comprises the following steps:
performing platform monitoring display based on the state alarm data and the field environment data of the robot body, and simultaneously performing remote control on the robot body and the holder water cannon;
the remote control comprises single body control, following control and voice control;
the single body control means that a client monitoring end can issue a single body control instruction to each robot body;
the following control means that a host control instruction is issued to a certain id host robot body, and a slave robot body in the configuration constraint performs task mode track following control;
the voice control means that interactive control of replacing manual operation with voice is realized on the robot body through platform monitoring software of an operation service layer and through voice data acquisition and voice analysis.
The client monitoring end realizes interactive display by performing 3-dimensional scene modeling on a specific site through a control display module of platform monitoring software based on a scene map of gis, realizing 3D display on the client monitoring end and simultaneously performing physical mapping on targets in the scene;
furthermore, the display interface provides visual data and animation display for the position information, the walking track, the target perception and the robot body alarm information uploaded by the robot body.
Furthermore, the display interface also displays statistical data generated during operation of the robot body, and can complete universe query based on a database, so that the operation process has traceability.
Further, the client monitoring end can perform cross statistics on the operation data of the robot cluster to form a data closed loop.
The foregoing is only illustrative of the principles and embodiments of the present invention, and is not intended to limit the scope of the invention, which is intended to cover all modifications and embodiments within the scope of the invention.
Claims (5)
1. The utility model provides an integration remote monitering system based on fire-fighting robot which characterized in that: the system comprises a robot body, an operation server, platform monitoring software and a client monitoring end; the robot body is provided with a data acquisition unit, a Beidou positioning unit and a mesh networking unit; the platform monitoring software deployed on the operation server comprises a voice interaction module, an environment perception module, a control display module and a database management module; the robot body and the operation server realize information interaction through an mqtt protocol, and the client monitoring end is used for a user to access the operation server platform monitoring software through an operation station or a pc end web browser to realize system interaction control display.
2. The integrated remote monitoring system based on the fire-fighting robot as claimed in claim 1, wherein: the system comprises a three-layer framework of an acquisition execution layer, an operation service layer and a client monitoring layer.
3. The integrated remote monitoring system based on the fire-fighting robot as claimed in claim 2, wherein: the acquisition execution layer comprises a robot cluster consisting of a plurality of robot bodies, and each robot body is provided with a networking module, a navigation module and a perception sensor; the robot body is internally provided with a mesh networking module, and data information interaction between the robot bodies is realized through an autonomous network mode; the robot body is internally provided with a Beidou positioning unit which is used for acquiring actual positioning information of the robot body, fusing an inertial navigation unit according to the positioning information and carrying out multi-robot following control; the robot body and the operation server realize data publishing and subscribing through an mqtt protocol, and the operation server acquires data information of each robot body through platform monitoring software.
4. The integrated remote monitoring system based on the fire-fighting robot as claimed in claim 2, wherein: the operation service layer consists of platform monitoring software deployed in an operation server, wherein the platform monitoring software comprises an environment sensing module, a voice interaction module, a control display module and a database management module; the platform monitoring software is used for carrying out database management on data generated by the operation of the robot body based on the relational database, so that the global query of the data is facilitated, and the operation process is made to be traceable; meanwhile, cross statistics is carried out on the operation data of the multi-robot cluster to form a data closed loop and an expert knowledge base; the operation service layer completes perception operation and processing through images based on machine learning and deep learning technologies according to environment information (including audio and video data information) collected by the robot cluster, and realizes perception of site environment targets and pedestrian states and remote voice control of walking and fire fighting operation of the robot body; the perceptual computation and processing comprises the steps of:
the method comprises the following steps: audio and video information collected by the robot cluster is used as a data perception data source;
step two: for the audio data, carrying out noise reduction preprocessing on the audio data, training and producing an audio model by keywords, loading the model into an algorithm, inputting a data source for monitoring interaction, analyzing the keywords and then associating a control command, and executing the step four to realize voice control on the robot;
step three: for video data, carrying out filtering pretreatment on the video data, carrying out deep learning training on a target sample to produce a network model, loading the network model into a neural network algorithm, inputting image data subjected to filtering pretreatment to obtain a perception result, carrying out logic operation on the result, and outputting alarm information;
step four: and based on the analysis results of the audio data and the video data, summarizing the control state data into control state data and sending the control state data to the robot body, so that intelligent sensing operation is realized.
5. The integrated remote monitoring system based on the fire-fighting robot as claimed in claim 2, wherein: the client monitoring layer is used for realizing interactive display and remote control operation at a client monitoring end; the method specifically comprises the following steps: performing platform monitoring display based on the state alarm data and the field environment data of the robot body, and simultaneously performing remote control on the robot body and the holder water cannon; the remote control comprises single body control, following control and voice control.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110470759.6A CN113194140B (en) | 2021-04-29 | 2021-04-29 | Fire-fighting robot-based integrated remote monitoring system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110470759.6A CN113194140B (en) | 2021-04-29 | 2021-04-29 | Fire-fighting robot-based integrated remote monitoring system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113194140A true CN113194140A (en) | 2021-07-30 |
| CN113194140B CN113194140B (en) | 2023-06-27 |
Family
ID=76980282
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110470759.6A Active CN113194140B (en) | 2021-04-29 | 2021-04-29 | Fire-fighting robot-based integrated remote monitoring system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113194140B (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116471129A (en) * | 2023-06-20 | 2023-07-21 | 深圳市美力高集团有限公司 | Security monitoring data secure storage system and method based on big data analysis |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20060185858A1 (en) * | 2003-08-21 | 2006-08-24 | Katsuyuki Baba | Fire-fighting robot |
| CN105913604A (en) * | 2016-05-18 | 2016-08-31 | 中国计量大学 | Fire occurrence determining method and device based on unmanned aerial vehicle |
| CN109276833A (en) * | 2018-08-01 | 2019-01-29 | 吉林大学珠海学院 | A kind of robot patrol fire-fighting system and its control method based on ROS |
| CN109331389A (en) * | 2018-11-12 | 2019-02-15 | 重庆知遨科技有限公司 | A kind of fire-fighting robot movement method of real-time based on Multi-sensor Fusion |
| CN111408089A (en) * | 2020-04-22 | 2020-07-14 | 北京新松融通机器人科技有限公司 | Fire-fighting robot and fire-fighting robot fire extinguishing system |
-
2021
- 2021-04-29 CN CN202110470759.6A patent/CN113194140B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20060185858A1 (en) * | 2003-08-21 | 2006-08-24 | Katsuyuki Baba | Fire-fighting robot |
| CN105913604A (en) * | 2016-05-18 | 2016-08-31 | 中国计量大学 | Fire occurrence determining method and device based on unmanned aerial vehicle |
| CN109276833A (en) * | 2018-08-01 | 2019-01-29 | 吉林大学珠海学院 | A kind of robot patrol fire-fighting system and its control method based on ROS |
| CN109331389A (en) * | 2018-11-12 | 2019-02-15 | 重庆知遨科技有限公司 | A kind of fire-fighting robot movement method of real-time based on Multi-sensor Fusion |
| CN111408089A (en) * | 2020-04-22 | 2020-07-14 | 北京新松融通机器人科技有限公司 | Fire-fighting robot and fire-fighting robot fire extinguishing system |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116471129A (en) * | 2023-06-20 | 2023-07-21 | 深圳市美力高集团有限公司 | Security monitoring data secure storage system and method based on big data analysis |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113194140B (en) | 2023-06-27 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111177942B (en) | Digital twin intelligent monitoring system for unmanned fully-mechanized excavation working face of mine | |
| You et al. | Integration of industry 4.0 related technologies in construction industry: a framework of cyber-physical system | |
| CN108268128A (en) | A kind of safety in production emergency preplan 3DVR virtual reality drilling systems | |
| CN111633644A (en) | Industrial robot digital twin system combined with intelligent vision and operation method thereof | |
| CN106595565A (en) | BIM-based intelligent monitoring system | |
| CN113902605A (en) | Smart park operation and maintenance management mode based on CIM framework | |
| CN109460834A (en) | Build operation management system and its management method | |
| CN116414081A (en) | Intelligent workshop real-time monitoring method based on digital twinning | |
| CN111553659A (en) | Full-life building cycle monitoring operation and maintenance method and system | |
| CN206179292U (en) | Special equipment test detection teaching system based on VR virtual reality technology | |
| CN108010413A (en) | A kind of wind power plant's O＆M analogue system and its operation appraisal procedure | |
| CN114372341A (en) | Steel hot rolling pipe control system and method based on digital twinning | |
| CN113158276A (en) | Monitoring information visualization system based on BIM | |
| CN102547128B (en) | Intelligent monitoring method and application thereof | |
| CN114882759B (en) | Virtual-real hybrid integrated simulation intelligent ship multichannel interaction simulation system and method | |
| CN112541704A (en) | Intelligent building operation and maintenance management system based on BIM platform | |
| CN106445777A (en) | Machine room smart 3D inspection system | |
| CN110992492A (en) | Three-dimensional visual production management system and method | |
| CN111737789A (en) | Building data visualization management system based on 3D digital scene | |
| CN111429583A (en) | Space-time situation perception method and system based on three-dimensional geographic information | |
| CN115509178A (en) | Digital twin driven cutter wear monitoring method and numerical control machine tool equipment | |
| CN115131498A (en) | Method for quickly constructing intelligent water conservancy digital twin model of reservoir | |
| CN113194140B (en) | Fire-fighting robot-based integrated remote monitoring system | |
| CN107544382A (en) | A kind of earthquake rescue accessory system based on technology of Internet of things | |
| CN115423645A (en) | Man-machine safety intelligent management system and method for hydraulic power plant |
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 | ||
| CB03 | Change of inventor or designer information |
Inventor after: Pei Wenliang Inventor after: Guo Yingyan Inventor after: Zhang Xuhua Inventor after: Hua Changchun Inventor after: Ma Xingang Inventor after: Yan Haipeng Inventor after: Xie Haifeng Inventor after: Ma Jingya Inventor after: Zhou Mingjing Inventor after: Cen Qiang Inventor after: Chen Jinshan Inventor before: Pei Wenliang Inventor before: Guo Yingyan Inventor before: Zhu Yuchang Inventor before: Zhang Xuhua Inventor before: Chen Linkun Inventor before: Ma Xingang Inventor before: Yan Haipeng Inventor before: Xie Haifeng Inventor before: Ma Jingya Inventor before: Zhou Mingjing Inventor before: Cen Qiang Inventor before: Chen Jinshan |
|
| CB03 | Change of inventor or designer information | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20230518 Address after: No. 183, Torch Road, high tech Zone, Tangshan City, Hebei Province Applicant after: CITIC HIC KAICHENG INTELLIGENCE EQUIPMENT Co.,Ltd. Applicant after: Yanshan University Address before: No. 183, Torch Road, high tech Zone, Tangshan City, Hebei Province Applicant before: CITIC HIC KAICHENG INTELLIGENCE EQUIPMENT Co.,Ltd. |
|
| TA01 | Transfer of patent application right | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |