CN111428961A - Petrochemical equipment major risk remote diagnosis system and method based on mixed reality - Google Patents

Petrochemical equipment major risk remote diagnosis system and method based on mixed reality Download PDF

Info

Publication number
CN111428961A
CN111428961A CN202010091969.XA CN202010091969A CN111428961A CN 111428961 A CN111428961 A CN 111428961A CN 202010091969 A CN202010091969 A CN 202010091969A CN 111428961 A CN111428961 A CN 111428961A
Authority
CN
China
Prior art keywords
risk
mixed reality
information
equipment
petrochemical
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
Application number
CN202010091969.XA
Other languages
Chinese (zh)
Inventor
魏振强
孙文勇
杨光福
张雪
孙秉才
王荣臻
刘文才
王德建
丁芳芳
赵丽平
贾选红
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
China National Petroleum Corp
CNPC Research Institute of Safety and Environmental Technology Co Ltd
Original Assignee
China National Petroleum Corp
CNPC Research Institute of Safety and Environmental Technology Co Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by China National Petroleum Corp, CNPC Research Institute of Safety and Environmental Technology Co Ltd filed Critical China National Petroleum Corp
Priority to CN202010091969.XA priority Critical patent/CN111428961A/en
Publication of CN111428961A publication Critical patent/CN111428961A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0635Risk analysis of enterprise or organisation activities
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/02Agriculture; Fishing; Mining
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T19/00Manipulating 3D models or images for computer graphics
    • G06T19/006Mixed reality

Abstract

The invention discloses a petrochemical equipment major risk remote diagnosis system and method based on mixed reality, wherein the system comprises: the petrochemical equipment identification module is used for receiving the acquired image information of the risk site and identifying petrochemical equipment in the image information; the mixed reality scene generation module is used for acquiring static information and dynamic information corresponding to the petrochemical equipment and generating a risk field mixed reality scene according to the image information and the static information and dynamic information corresponding to the petrochemical equipment; and the remote terminal is used for receiving the mixed reality scene of the risk site and displaying the mixed reality scene of the risk site to remote diagnostic personnel. The invention solves the problems that the multi-dimensional risk information of the traditional diagnosis can not be accurately shared in time, the expert is required to be on the spot, and the expert is limited by time and space.

Description

Petrochemical equipment major risk remote diagnosis system and method based on mixed reality
Technical Field
The invention relates to the field of petrochemical industry petrochemical device safety risk diagnosis, in particular to a petrochemical equipment major risk remote diagnosis system and method based on mixed reality.
Background
When petrochemical enterprises face major risks, the traditional method is to build an enterprise expert team or invite experts of different enterprises to arrive at equipment for on-site joint diagnosis, establish a risk reduction and control scheme, and guide the whole risk diagnosis and treatment process on site. The conventional risk diagnosis technology and method have the following problems: (1) multidimensional information (such as alarms, historical accidents/events, maintenance records, design parameters, operation/operation parameters, fault positions and the like) of the devices at risk cannot be comprehensively and accurately shared, certain time is needed for arrangement, and a means for comprehensively knowing the risk information is lacked. (2) In most cases, the risk diagnosis and treatment can be performed only by the expert team of the enterprise, and the sharing of expert knowledge and experience of other enterprises cannot be obtained in a short time, so that the best time for processing the major risk can be missed. (3) The diagnostic expert group must deeply understand and handle the risks on site, and once the risks occur, the accidents such as personnel injury and the like are expanded.
Due to the influence of the factors, when the petrochemical equipment faces serious risks, accidents or expansion of the accidents can not be caused by timely eliminating the risks, and accordingly, enterprise personnel injury, environmental pollution, property loss and the like are caused.
Disclosure of Invention
In order to solve at least one technical problem in the background art, the invention provides a petrochemical equipment major risk remote diagnosis system and method based on mixed reality.
In order to achieve the above objects, according to one aspect of the present invention, there is provided a mixed reality-based petrochemical equipment significant risk remote diagnosis system, comprising:
The petrochemical equipment identification module is used for receiving the acquired image information of the risk site and identifying petrochemical equipment in the image information;
The mixed reality scene generation module is used for acquiring static information and dynamic information corresponding to the petrochemical equipment and generating a risk field mixed reality scene according to the image information and the static information and dynamic information corresponding to the petrochemical equipment;
And the remote terminal is used for receiving the mixed reality scene of the risk site and displaying the mixed reality scene of the risk site to remote diagnostic personnel.
Optionally, the mixed reality-based petrochemical device significant risk remote diagnosis system further includes:
And the head-mounted mixed reality equipment is used for acquiring the image information and displaying the risk field mixed reality scene to field diagnostic personnel.
Optionally, the mixed reality-based petrochemical device significant risk remote diagnosis system further includes:
And the login authentication management module is used for receiving login information sent by field diagnostic personnel through the head-mounted mixed reality equipment and login information sent by remote diagnostic personnel through the remote terminal, and carrying out identity verification on the field diagnostic personnel and the remote diagnostic personnel according to the login information.
Optionally, the mixed reality-based petrochemical device significant risk remote diagnosis system further includes:
And the risk processing scheme retrieval module is used for retrieving a corresponding risk processing scheme from a preset risk database according to the static information and the dynamic information corresponding to the petrochemical equipment and sending the risk processing scheme to the head-mounted mixed reality equipment and/or the remote terminal.
Optionally, the mixed reality-based petrochemical device significant risk remote diagnosis system further includes:
And the information interaction and recording module is used for realizing the information interaction between the head-mounted mixed reality equipment and the remote terminal in the forms of voice, video and files and recording the interaction information.
Optionally, the static information includes at least one of design parameters, maintenance records, and safety records of the petrochemical equipment; the dynamic information includes at least one of a temperature, a pressure, a liquid level, and a flow rate of the petrochemical device.
In order to achieve the above object, according to another aspect of the present invention, there is provided a mixed reality-based petrochemical equipment major risk remote diagnosis method, the method comprising:
Receiving collected image information of a risk site, and identifying petrochemical equipment in the image information;
Acquiring static information and dynamic information corresponding to the petrochemical equipment, and generating a risk field mixed reality scene according to the image information and the static information and dynamic information corresponding to the petrochemical equipment;
And sending the risk site mixed reality scene to a remote terminal so that the remote terminal can display the risk site mixed reality scene to a remote diagnosis person.
Optionally, the mixed reality-based petrochemical equipment major risk remote diagnosis method further includes:
Acquiring image information of a risk site by a field diagnostician through the head-mounted mixed reality device;
And displaying the risk field mixed reality scene to the field diagnostician through the head-mounted mixed reality equipment.
Optionally, the mixed reality-based petrochemical equipment major risk remote diagnosis method further includes:
And receiving login information sent by field diagnostic personnel through the head-mounted mixed reality equipment and login information sent by remote diagnostic personnel through the remote terminal, and performing identity verification on the field diagnostic personnel and the remote diagnostic personnel according to the login information.
Optionally, the mixed reality-based petrochemical equipment major risk remote diagnosis method further includes:
And retrieving a corresponding risk processing scheme from a preset risk database according to the static information and the dynamic information corresponding to the petrochemical equipment, and sending the risk processing scheme to the head-mounted mixed reality equipment and/or the remote terminal.
Optionally, the mixed reality-based petrochemical equipment major risk remote diagnosis method further includes:
And recording the interactive information between the head-mounted mixed reality equipment and the remote terminal, wherein the head-mounted mixed reality equipment and the remote terminal perform information interaction in the forms of voice, video and files.
Optionally, the static information includes at least one of design parameters, maintenance records, and safety records of the petrochemical equipment; the dynamic information includes at least one of a temperature, a pressure, a liquid level, and a flow rate of the petrochemical device.
In order to achieve the above object, according to another aspect of the present invention, there is also provided a computer device including a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the mixed reality based petrochemical device major risk remote diagnosis method when executing the computer program.
In order to achieve the above object, according to another aspect of the present invention, there is also provided a computer-readable storage medium storing a computer program which, when executed in a computer processor, implements the above mixed reality-based petrochemical equipment significant risk remote diagnosis method.
The invention has the beneficial effects that: the invention provides a petrochemical equipment major risk remote real-time diagnosis auxiliary system based on mixed reality, which aims to solve the problems of incomplete information, space-time limitation of expert teams, potential personnel injury expansion and the like in the traditional risk diagnosis. The method combines the static information and the dynamic information of the equipment in the risk to be fused into the image information of the risk site to form a mixed reality scene of the risk site, and transmits the mixed reality scene of the risk site to the remote diagnosticians in different regions, so that the remote diagnosticians really and comprehensively master the information of the risk site at a first view angle, diagnose and formulate an optimal risk reduction and control scheme, and can guide the whole diagnosis process, eliminate the risk of the equipment and realize the intrinsic safety of the equipment.
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 introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts. In the drawings:
FIG. 1 is a first schematic component diagram of a mixed reality-based remote diagnosis system for critical risk of petrochemical equipment according to an embodiment of the present invention;
FIG. 2 is a second schematic component diagram of a mixed reality-based remote diagnosis system for critical risk of petrochemical equipment according to an embodiment of the present invention;
FIG. 3 is a flow chart of a mixed reality-based petrochemical plant significant risk remote diagnosis method according to an embodiment of the present invention;
FIG. 4 is a flow chart of the operation of a mixed reality-based remote diagnosis system for critical risk of petrochemical equipment according to an embodiment of the present invention;
FIG. 5 is a schematic diagram of a computer apparatus according to an embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, 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.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
It should be noted that the terms "comprises" and "comprising," and any variations thereof, in the description and claims of the present invention and the above-described drawings, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
It should be noted that the embodiments and features of the embodiments may be combined with each other without conflict. The present invention will be described in detail below with reference to the embodiments with reference to the attached drawings.
The invention aims to provide a petrochemical device/equipment major risk remote real-time diagnosis auxiliary system and method based on mixed reality, and aims to solve the problems of incomplete information, space-time limitation of expert teams, potential personnel injury expansion and the like in the traditional risk diagnosis. The invention can automatically acquire static information and dynamic information (such as temperature, pressure, alarm, historical maintenance record and the like, the information can come from information systems such as a DCS (distributed control system), an SIS (SIS system) system, an ERP (enterprise resource planning) system and the like) of devices/equipment in risk, automatically match and stack the information in a real risk scene through mixed reality head-mounted equipment worn by field personnel, transmit the mixed reality scene of the risk scene to remote diagnosis personnel (remote experts) in different regions, enable the experts to truly and comprehensively master the scene information at a first visual angle, diagnose together and automatically make an optimal risk reduction and control scheme, guide the whole diagnosis process, eliminate the risk of the devices and realize the intrinsic safety of the devices.
Fig. 1 and 2 are schematic diagrams illustrating a mixed reality-based remote diagnosis system for a significant risk of a petrochemical device according to an embodiment of the present invention, and as shown in fig. 1 and 2, the mixed reality-based remote diagnosis system for a significant risk of a petrochemical device according to an embodiment of the present invention includes: mixed reality equipment of wear-type 1, backstage server 2 and remote terminal 3, backstage server 2 specifically includes: the system comprises a petrochemical equipment identification module 201, a mixed reality scene generation module 202, a login authentication management module 203, a risk processing scheme retrieval module 204 and an information interaction and recording module 205.
The head-mounted mixed reality device 1 is used for acquiring image information of a risk site and displaying the risk site mixed reality scene to a site diagnostician (a local expert) wearing the head-mounted mixed reality device 1.
And the background server 2 is used for generating a risk scene according to the image information of the risk scene acquired by the head-mounted mixed reality device 1 and realizing information interaction between the head-mounted mixed reality device 1 and the remote terminal 3.
And the remote terminal 3 is used for receiving the mixed reality scene of the risk site and displaying the mixed reality scene of the risk site to a remote diagnosis person (a remote expert).
As shown in fig. 2, in an optional embodiment of the present invention, the background server 2 specifically includes: the system comprises a petrochemical equipment identification module 201, a mixed reality scene generation module 202, a login authentication management module 203, a risk processing scheme retrieval module 204 and an information interaction and recording module 205.
The petrochemical device identification module 201 is configured to receive the acquired image information of the risk site, and identify a petrochemical device in the image information. In an optional embodiment of the present invention, the petrochemical device identification module 201 may also automatically identify the petrochemical devices in the image information by using the technologies of artificial intelligence, deep learning, and the like in the prior art. In an alternative embodiment of the present invention, the petrochemical device identification module 201 can support simultaneous detection, identification and tracking of multiple devices.
And the mixed reality scene generating module 202 is configured to acquire the static information and the dynamic information corresponding to the petrochemical device, and generate a risk field mixed reality scene according to the image information and the static information and the dynamic information corresponding to the petrochemical device.
In an alternative embodiment of the present invention, the static information includes one or more of design parameters, maintenance records, safety records, and environmental parameters of the petrochemical equipment; the dynamic information comprises one or more of temperature, pressure, liquid level, flow rate and alarm information of petrochemical equipment, and the parameters can be from DCS, SIS, MES, ERP and other petroleum and petrochemical production and information systems.
In the embodiment of the present invention, the mixed reality scene generation module 202 "matches and superimposes" the static information and the dynamic information of the at-risk device on the image information of the real risk scene to form a mixed reality scene of the risk scene. The device at risk and the static information and the dynamic information of the device can be clearly shown in the risk scene.
And the login authentication management module 203 is used for receiving login information sent by the field diagnostic personnel through the head-mounted mixed reality device and login information sent by the remote diagnostic personnel through the remote terminal, and performing identity verification on the field diagnostic personnel and the remote diagnostic personnel according to the login information. In this embodiment of the present invention, the login authentication management module 203 is further configured to locate the head-mounted mixed reality device and the remote terminal.
A risk processing scheme retrieving module 204, configured to retrieve a corresponding risk processing scheme from a preset risk database according to the static information and the dynamic information corresponding to the petrochemical device, and send the risk processing scheme to the head-mounted mixed reality device and/or the remote terminal. And then the local expert and the remote expert can confirm the retrieved risk processing scheme, if the scheme is feasible, the local expert conducts on-site commanding and disposal according to the scheme prompt, and the remote expert can conduct auxiliary monitoring and management according to the on-site condition at any time.
And the information interaction and recording module 205 is configured to implement information interaction between the head-mounted mixed reality device and the remote terminal in the form of voice, video and file, and record interaction information.
In an optional embodiment of the present invention, the information interaction and recording module 205 is configured to record an operation process, a risk environment, and files such as voice and video thereof in the whole risk diagnosis and treatment process, and is configured to evaluate the preparation capability, risk diagnosis capability, and the like of risk treatment in a later stage, so as to continuously improve the capability of the whole risk diagnosis team.
In an optional embodiment of the present invention, the remote expert may move, zoom, and select virtual information on the remote terminal 3 through gestures and pointing on the mixed reality scene of the risk scene. The information interaction and recording module 205 of the present invention further has a voice recognition function, which is used for automatically recognizing the voice command of the expert by the system for automatic operation, and is used for voice communication between the diagnostic experts.
In an optional embodiment of the present invention, the petrochemical device identification module 201 and the mixed reality scene generation module 202 may be further integrated into the mixed reality head-mounted device 1. The background server 2 only comprises a login authentication management module 203, a risk processing scheme retrieval module 204 and an information interaction and recording module 205.
Fig. 4 is a flowchart illustrating a mixed reality-based remote diagnosis system for critical risk of petrochemical equipment according to an embodiment of the present invention, and as shown in fig. 4, the process of diagnosing using the mixed reality-based remote diagnosis system for critical risk of petrochemical equipment according to the present invention specifically includes the following steps.
s1, when the petrochemical device runs into a serious risk and needs to invite experts in different regions to jointly diagnose and deal with the risk, the local experts wear the mixed reality head-mounted device 1 to enter the scene, and the remote experts (remote experts) open the respective remote terminals 3.
s2, the local expert wears the mixed reality head-mounted equipment 1 to perform identity login verification, and the remote expert performs identity login authentication through the remote terminal 3.
s3, the local diagnostician sees the equipment and units at risk through the mixed reality head-mounted device 1 on site, and the system automatically identifies the equipment at risk in the scene by using the technologies of artificial intelligence, deep learning and the like.
And s4, matching and superposing the static information and the dynamic information of the equipment at risk in the image information of the real risk scene to form a mixed reality scene of the risk scene.
s5, automatically feeding back the mixed reality scene of the risk scene to the mixed reality head-mounted device 1, and enabling the local expert to see the virtual information to be automatically matched and superposed into the real devices and units, so that the local expert can see the 'virtual and real' fusion information through the mixed reality head-mounted device 1. The mixed reality scene of the risk scene is automatically transmitted to the remote terminal 3 of the allopatric expert, and the allopatric expert personally knows the scene risk condition at a first visual angle through the remote terminal 3 and forms a diagnosis expert group together with the local expert to diagnose the risk.
s6, communicating with local and allopatric experts through voice, video and document media according to on-site risk status, automatically retrieving the scheme of the risk database, determining the final risk processing scheme, commanding and disposing on-site by local experts according to the scheme prompt, and performing auxiliary monitoring and management by other experts according to on-site conditions.
s7, the system can record the whole process of risk treatment in forms of voice, video and the like, and is used for evaluating the scientificity and rationality of risk diagnosis afterwards, summarizing rules and improving the risk control capability.
s8, after the risk diagnosis is finished, the mixed reality head-mounted device 1 and the remote terminal 3 are automatically closed, and the system finishes the task.
From the above description, the invention provides a petrochemical device major risk remote real-time diagnosis auxiliary system and method based on mixed reality, and solves the problems that multi-dimensional risk information cannot be timely and accurately shared, experts must be on site, and the experts are limited by time and space in the conventional diagnosis. The major risk remote diagnosis system of the petrochemical device based on mixed reality can automatically match and stack multi-dimensional information of the device in risk in real equipment and units, and transmit a new visual environment integrating virtual information and a real environment to remote experts in different regions, so that the experts always grasp field information in a real and comprehensive mode at a first visual angle, jointly diagnose and automatically set an optimal risk management and control scheme, the enterprise risk handling capacity is improved, and the safe production of the device is realized.
Based on the same inventive concept, the embodiment of the invention also provides a petrochemical equipment major risk remote diagnosis method based on mixed reality, which is described in the following embodiment. Because the principle of solving the problem of the hybrid reality-based petrochemical equipment major risk remote diagnosis method is similar to that of the hybrid reality-based petrochemical equipment major risk remote diagnosis system, embodiments of the hybrid reality-based petrochemical equipment major risk remote diagnosis method can be referred to embodiments of the hybrid reality-based petrochemical equipment major risk remote diagnosis system, and repeated parts are not repeated.
Fig. 3 is a flowchart of a mixed reality-based remote diagnosis method for a significant risk of a petrochemical device according to an embodiment of the present invention, and as shown in fig. 3, the mixed reality-based remote diagnosis method for a significant risk of a petrochemical device according to an embodiment of the present invention specifically includes steps S101 to S105.
And S101, acquiring image information of a risk site by a field diagnostician through the head-mounted mixed reality device.
Step S102, receiving collected image information of the risk site, and identifying petrochemical equipment in the image information.
Step S103, acquiring static information and dynamic information corresponding to the petrochemical equipment, and generating a risk field mixed reality scene according to the image information and the static information and dynamic information corresponding to the petrochemical equipment.
In an optional embodiment of the present invention, the static information comprises at least one of design parameters, maintenance records, and safety records of the petrochemical plant; the dynamic information includes at least one of a temperature, a pressure, a liquid level, and a flow rate of the petrochemical device.
And step S104, displaying the risk field mixed reality scene to the field diagnostician through the head-mounted mixed reality equipment.
And S105, sending the mixed reality scene of the risk site to a remote terminal so that the remote terminal can display the mixed reality scene of the risk site to a remote diagnosis person.
In an optional embodiment of the present invention, the method for remotely diagnosing the significant risk of the petrochemical equipment based on the mixed reality specifically further includes:
And receiving login information sent by field diagnostic personnel through the head-mounted mixed reality equipment and login information sent by remote diagnostic personnel through the remote terminal, and performing identity verification on the field diagnostic personnel and the remote diagnostic personnel according to the login information.
In an optional embodiment of the present invention, the method for remotely diagnosing the significant risk of the petrochemical equipment based on the mixed reality specifically further includes:
And retrieving a corresponding risk processing scheme from a preset risk database according to the static information and the dynamic information corresponding to the petrochemical equipment, and sending the risk processing scheme to the head-mounted mixed reality equipment and/or the remote terminal.
In an optional embodiment of the present invention, the method for remotely diagnosing the significant risk of the petrochemical equipment based on the mixed reality specifically further includes:
And recording the interactive information between the head-mounted mixed reality equipment and the remote terminal, wherein the head-mounted mixed reality equipment and the remote terminal perform information interaction in the forms of voice, video and files.
It should be noted that the steps illustrated in the flowcharts of the figures may be performed in a computer system such as a set of computer-executable instructions and that, although a logical order is illustrated in the flowcharts, in some cases, the steps illustrated or described may be performed in an order different than presented herein.
To achieve the above object, according to another aspect of the present application, there is also provided a computer apparatus. As shown in fig. 5, the computer device comprises a memory, a processor, a communication interface and a communication bus, wherein a computer program that can be run on the processor is stored in the memory, and the steps of the method of the above embodiment are realized when the processor executes the computer program.
The processor may be a Central Processing Unit (CPU). The Processor may also be other general purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components, or a combination thereof.
The memory, which is a non-transitory computer readable storage medium, may be used to store non-transitory software programs, non-transitory computer executable programs, and units, such as the corresponding program units in the above-described method embodiments of the present invention. The processor executes various functional applications of the processor and the processing of the work data by executing the non-transitory software programs, instructions and modules stored in the memory, that is, the method in the above method embodiment is realized.
The memory may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created by the processor, and the like. Further, the memory may include high speed random access memory, and may also include non-transitory memory, such as at least one disk storage device, flash memory device, or other non-transitory solid state storage device. In some embodiments, the memory optionally includes memory located remotely from the processor, and such remote memory may be coupled to the processor via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The one or more units are stored in the memory and when executed by the processor perform the method of the above embodiments.
The specific details of the computer device may be understood by referring to the corresponding related descriptions and effects in the above embodiments, and are not described herein again.
In order to achieve the above object, according to another aspect of the present application, there is also provided a computer-readable storage medium storing a computer program which, when executed in a computer processor, implements the steps of the above-mentioned mixed reality-based petrochemical equipment significant risk remote diagnosis method. It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. The storage medium may be a magnetic Disk, an optical Disk, a Read-only Memory (ROM), a Random Access Memory (RAM), a Flash Memory (Flash Memory), a Hard Disk (Hard Disk Drive, abbreviated as HDD) or a Solid State Drive (SSD), etc.; the storage medium may also comprise a combination of memories of the kind described above.
It will be apparent to those skilled in the art that the modules or steps of the present invention described above may be implemented by a general purpose computing device, they may be centralized on a single computing device or distributed across a network of multiple computing devices, and they may alternatively be implemented by program code executable by a computing device, such that they may be stored in a storage device and executed by a computing device, or fabricated separately as individual integrated circuit modules, or fabricated as a single integrated circuit module from multiple modules or steps. Thus, the present invention is not limited to any specific combination of hardware and software.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (14)

1. A mixed reality-based petrochemical equipment major risk remote diagnosis system is characterized by comprising:
The petrochemical equipment identification module is used for receiving the acquired image information of the risk site and identifying petrochemical equipment in the image information;
The mixed reality scene generation module is used for acquiring static information and dynamic information corresponding to the petrochemical equipment and generating a risk field mixed reality scene according to the image information and the static information and dynamic information corresponding to the petrochemical equipment;
And the remote terminal is used for receiving the mixed reality scene of the risk site and displaying the mixed reality scene of the risk site to remote diagnostic personnel.
2. The mixed reality based remote diagnosis system for critical risk of petrochemical equipment according to claim 1, further comprising:
And the head-mounted mixed reality equipment is used for acquiring the image information and displaying the risk field mixed reality scene to field diagnostic personnel.
3. The mixed reality based remote diagnosis system for critical risk of petrochemical equipment according to claim 2, further comprising:
And the login authentication management module is used for receiving login information sent by field diagnostic personnel through the head-mounted mixed reality equipment and login information sent by remote diagnostic personnel through the remote terminal, and carrying out identity verification on the field diagnostic personnel and the remote diagnostic personnel according to the login information.
4. The mixed reality based remote diagnosis system for critical risk of petrochemical equipment according to claim 2, further comprising:
And the risk processing scheme retrieval module is used for retrieving a corresponding risk processing scheme from a preset risk database according to the static information and the dynamic information corresponding to the petrochemical equipment and sending the risk processing scheme to the head-mounted mixed reality equipment and/or the remote terminal.
5. The mixed reality based remote diagnosis system for critical risk of petrochemical equipment according to claim 2, further comprising:
And the information interaction and recording module is used for realizing the information interaction between the head-mounted mixed reality equipment and the remote terminal in the forms of voice, video and files and recording the interaction information.
6. The mixed reality based remote diagnosis system for critical risk of petrochemical equipment according to claim 1, wherein the static information comprises at least one of design parameters, maintenance records and safety records of petrochemical equipment; the dynamic information includes at least one of a temperature, a pressure, a liquid level, and a flow rate of the petrochemical device.
7. A petrochemical equipment major risk remote diagnosis method based on mixed reality is characterized by comprising the following steps:
Receiving collected image information of a risk site, and identifying petrochemical equipment in the image information;
Acquiring static information and dynamic information corresponding to the petrochemical equipment, and generating a risk field mixed reality scene according to the image information and the static information and dynamic information corresponding to the petrochemical equipment;
And sending the risk site mixed reality scene to a remote terminal so that the remote terminal can display the risk site mixed reality scene to a remote diagnosis person.
8. The mixed reality-based petrochemical equipment significant risk remote diagnosis method according to claim 7, further comprising:
Acquiring image information of a risk site by a field diagnostician through the head-mounted mixed reality device;
And displaying the risk field mixed reality scene to the field diagnostician through the head-mounted mixed reality equipment.
9. The mixed reality-based petrochemical equipment significant risk remote diagnosis method according to claim 8, further comprising:
And receiving login information sent by field diagnostic personnel through the head-mounted mixed reality equipment and login information sent by remote diagnostic personnel through the remote terminal, and performing identity verification on the field diagnostic personnel and the remote diagnostic personnel according to the login information.
10. The mixed reality-based petrochemical equipment significant risk remote diagnosis method according to claim 8, further comprising:
And retrieving a corresponding risk processing scheme from a preset risk database according to the static information and the dynamic information corresponding to the petrochemical equipment, and sending the risk processing scheme to the head-mounted mixed reality equipment and/or the remote terminal.
11. The mixed reality-based petrochemical equipment significant risk remote diagnosis method according to claim 8, further comprising:
And recording the interactive information between the head-mounted mixed reality equipment and the remote terminal, wherein the head-mounted mixed reality equipment and the remote terminal perform information interaction in the forms of voice, video and files.
12. The mixed reality-based petrochemical plant significant risk remote diagnosis method according to claim 7, wherein the static information comprises at least one of design parameters, maintenance records, and safety records of petrochemical plants; the dynamic information includes at least one of a temperature, a pressure, a liquid level, and a flow rate of the petrochemical device.
13. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the method of any of claims 7 to 12 when executing the computer program.
14. A computer-readable storage medium, in which a computer program is stored which, when executed in a computer processor, carries out the method according to any one of claims 7 to 12.
CN202010091969.XA 2020-02-14 2020-02-14 Petrochemical equipment major risk remote diagnosis system and method based on mixed reality Pending CN111428961A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202010091969.XA CN111428961A (en) 2020-02-14 2020-02-14 Petrochemical equipment major risk remote diagnosis system and method based on mixed reality

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202010091969.XA CN111428961A (en) 2020-02-14 2020-02-14 Petrochemical equipment major risk remote diagnosis system and method based on mixed reality

Publications (1)

Publication Number Publication Date
CN111428961A true CN111428961A (en) 2020-07-17

Family

ID=71547071

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202010091969.XA Pending CN111428961A (en) 2020-02-14 2020-02-14 Petrochemical equipment major risk remote diagnosis system and method based on mixed reality

Country Status (1)

Country Link
CN (1) CN111428961A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113031559A (en) * 2021-02-26 2021-06-25 天津中德应用技术大学 Remote diagnosis method and system for forging line

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2014047402A1 (en) * 2012-09-20 2014-03-27 MUSC Foundation for Research and Development Head-mounted systems and methods for providing inspection, evaluation or assessment of an event or location
CN108879440A (en) * 2018-06-20 2018-11-23 国网山东省电力公司济宁供电公司 Intelligent examination and repair system and method based on wearable augmented reality display terminal and cloud platform
CN110442486A (en) * 2019-08-05 2019-11-12 北京远舢智能科技有限公司 A kind of remote device diagnostics system and method based on mixed reality technology

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2014047402A1 (en) * 2012-09-20 2014-03-27 MUSC Foundation for Research and Development Head-mounted systems and methods for providing inspection, evaluation or assessment of an event or location
CN108879440A (en) * 2018-06-20 2018-11-23 国网山东省电力公司济宁供电公司 Intelligent examination and repair system and method based on wearable augmented reality display terminal and cloud platform
CN110442486A (en) * 2019-08-05 2019-11-12 北京远舢智能科技有限公司 A kind of remote device diagnostics system and method based on mixed reality technology

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113031559A (en) * 2021-02-26 2021-06-25 天津中德应用技术大学 Remote diagnosis method and system for forging line

Similar Documents

Publication Publication Date Title
Serfaty et al. The decision-making expertise of battle commanders
KR20180108446A (en) System and method for management of ict infra
CN109726200A (en) Grid information system fault location system and method based on two-way deep neural network
Navas et al. Disruptive maintenance engineering 4.0
CN112462696A (en) Intelligent manufacturing workshop digital twin model construction method and system
CN109088668A (en) Total state Visual Dynamic satellite test system and method
DE102017208293A1 (en) Industrial facility management systems and methods therefor
CN113741368A (en) Power enterprise safety production management method based on management and control of Internet of things
CN115660431A (en) Method and device for evaluating intelligent operation and maintenance system, electronic equipment and storage medium
CN111428961A (en) Petrochemical equipment major risk remote diagnosis system and method based on mixed reality
CN104021436A (en) Borrowing management system for data of production field
CN102546235B (en) Performance diagnosis method and system of web-oriented application under cloud computing environment
CN110311802A (en) Network operation method, device, electronic equipment and storage medium
CN111538720A (en) Method and system for cleaning basic data in power industry
CN116094174A (en) Knowledge graph-based power grid operation and maintenance monitoring method, system, equipment and medium
Edwards et al. Using a simulation model for knowledge elicitation and knowledge management
CN113706101B (en) Intelligent system architecture and method for power grid project management
CN110225047B (en) Work monitoring method and device, computer equipment and storage medium
CN108873781A (en) A kind of Full-automatic digital equipment
KR102279334B1 (en) Smart factory system based management for industrial iot and un-iot modoule group usde zone-master and method manufacturing it
Ning et al. Research on warship communication operation and maintenance management based on big data
Glukhikh et al. Using hybrid-CBR for intelligence monitoring and decision-making systems on SMART grid
CN113449015A (en) Power grid fault processing method and device and electronic equipment
CN112668912A (en) Training method of artificial neural network, dynamic calculation segmentation scheduling method, storage medium and system
CN104808599A (en) Test process management and control system, method and apparatus for filters

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