CN114415642A - Augmented reality-based vehicle fault auxiliary maintenance method, storage medium and system - Google Patents
Augmented reality-based vehicle fault auxiliary maintenance method, storage medium and system Download PDFInfo
- Publication number
- CN114415642A CN114415642A CN202210114665.XA CN202210114665A CN114415642A CN 114415642 A CN114415642 A CN 114415642A CN 202210114665 A CN202210114665 A CN 202210114665A CN 114415642 A CN114415642 A CN 114415642A
- Authority
- CN
- China
- Prior art keywords
- fault
- vehicle
- information
- maintenance
- mobile terminal
- 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.)
- Withdrawn
Links
Images
Classifications
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B23/00—Testing or monitoring of control systems or parts thereof
- G05B23/02—Electric testing or monitoring
- G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
- G05B23/0259—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterized by the response to fault detection
- G05B23/0275—Fault isolation and identification, e.g. classify fault; estimate cause or root of failure
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Automation & Control Theory (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Vehicle Cleaning, Maintenance, Repair, Refitting, And Outriggers (AREA)
Abstract
The invention discloses a vehicle fault auxiliary maintenance method, a storage medium and a system based on augmented reality. The method comprises the following steps: s1, the mobile terminal acquires information of the fault parts; s2, the mobile terminal highlights the fault parts by adopting a reality augmentation technology based on the fault part information; and S3, the mobile terminal receives the maintenance auxiliary instruction and displays the maintenance auxiliary information based on the maintenance auxiliary instruction. The invention can accurately prompt the fault information of the vehicle to the vehicle owner, and the user can know the state information of the vehicle at any time and any place through the augmented reality method, and clearly describe the fault position and the fault removing mode, so that the user can remove the vehicle fault in time and rapidly, the competitiveness of the product is enhanced, and the user experience is improved and the user viscosity is enhanced.
Description
Technical Field
The invention relates to the technical field of automobile detection, in particular to a vehicle fault auxiliary maintenance method, a storage medium and a system based on augmented reality.
Background
With the development of automobile technology and the improvement of the socioeconomic level, automobiles have become civilian vehicles from luxury goods, and automobiles gradually have more and more functions, and information-based attributes are added to a simple vehicle. The automobile has a large number of parts and is complex, most users are drivers only and focus on using the automobile, fault detection and repair of the automobile basically belong to blind areas, the users to be used as the drivers are difficult to learn automobile fault maintenance, and most users do not have excessive energy to learn. With the increase of users, the problem of difficult and complicated automobile failures is increasing, and how to help users perfectly solve the problems quickly is very necessary.
A common fault repair assistant is used for assisting a user in fault repair based on characters, pictures or videos in a mobile phone app. However, the way of pictures and text can be affected by the description and the user's cognition, resulting in a decrease in the accuracy of troubleshooting. The video mode also has the problems, and the video duration is a great pain point for users who need emergency repair. Although the manual customer service method can provide service for fault maintenance, customer service personnel can guess the fault point through the description of the user, and the user cannot directly synchronize the information of the vehicle to the customer service, so that the problem that the fault is not completely solved or the problem that the fault of the vehicle cannot be solved by improper solution or even completely is faced, and great influence is brought to the experience of the user. There is a need in the art for a technique that can directly present the location of one or more failure points to a user and provide the user with a way to perform autonomous maintenance.
Therefore, how to visually display the fault part of the vehicle to the user enables the user to perform autonomous maintenance, improves the efficiency of maintaining the fault by the user, and reduces the time for maintaining the fault by the user is the research direction of technicians in the field.
Disclosure of Invention
In view of the above-mentioned shortcomings in the prior art, an object of the present invention is to provide a vehicle fault auxiliary maintenance method, a storage medium and a system based on augmented reality, so as to solve the problem that after a vehicle fault occurs, the user is difficult to maintain autonomously due to the fact that the existing maintenance assistance is not intuitive.
In order to solve the technical problems, the invention adopts the following technical scheme:
an augmented reality-based vehicle fault auxiliary maintenance method comprises the following steps:
s1, the mobile terminal acquires information of the fault parts;
s2, the mobile terminal highlights the fault parts by adopting a reality augmentation technology based on the fault part information;
and S3, the mobile terminal receives the maintenance auxiliary instruction and displays the maintenance auxiliary information based on the maintenance auxiliary instruction.
The method provided by the invention can accurately prompt the fault information of the vehicle to the vehicle owner, and the user can know the state information of the vehicle at any time and any place through the augmented reality method, and clearly describe the fault position and the fault removing mode, so that the user can remove the vehicle fault in time and rapidly, the competitiveness of the product is enhanced, and the user experience is improved and the user stickiness is enhanced.
Further, the reality augmentation technology adopts SLAM mode display, namely, vehicle models of the fault parts are projected onto a plane.
Further, the reality augmentation technology adopts SLAM mode display, namely, vehicle models of the fault parts are projected onto a plane.
Further, the fault part is highlighted by marking and displaying colors of the parts in the vehicle, and fault grades are distinguished by colors.
Further, the mobile terminal detects whether fault part information exists locally; if yes, directly using the locally stored information of the fault parts; otherwise, the mobile terminal sends the carid of the current vehicle to the cloud terminal and acquires the information of the fault parts stored in the cloud terminal.
Further, the maintenance assisting information is at least one of pictures, texts and videos.
Further, when the maintenance help information selected by the user through clicking comprises a video, the mobile terminal acquires the fault maintenance video of the vehicle from the cloud and plays the fault maintenance video so as to guide the user to complete maintenance operation.
The invention also provides a storage medium, which stores one or more programs, and when the one or more programs are executed by a processor, the augmented reality-based vehicle fault auxiliary maintenance method is executed.
The invention also provides an augmented reality-based vehicle fault auxiliary maintenance system, which is used in the method and comprises a sensor, a vehicle-mounted terminal, a cloud and a mobile terminal;
the sensor is used for acquiring real-time information of parts on the vehicle and sending the real-time information to the vehicle-mounted terminal;
the vehicle-mounted terminal is used for processing the acquired real-time information, defining real-time information different from original information stored in the vehicle-mounted terminal as fault part information, and uploading the fault part information to the cloud end;
the cloud end is used for storing fault part information and maintenance auxiliary information;
and the mobile terminal is used for acquiring and displaying the information of the fault parts and the maintenance auxiliary information.
Compared with the prior art, the invention has the following beneficial effects:
1. the method provided by the invention can accurately prompt the fault information of the vehicle to the vehicle owner, and the user can know the state information of the vehicle at any time and any place through the augmented reality method, and clearly describe the fault position and the fault removing mode, so that the user can remove the vehicle fault in time and rapidly, the competitiveness of the product is enhanced, and the user experience is improved and the user stickiness is enhanced.
2. Different from the previous guidance of simple pictures, characters or videos, in the method provided by the invention, the fault information of the vehicle parts is not inquired by a user according to the fault expression to obtain a result, but the fault data of the vehicle is transmitted to the cloud end by the sensor of the vehicle, so that the fault part can be accurately known when the user detects the fault.
3. During fault detection, after the mobile terminal synchronizes fault data of a cloud end, a fault part is marked in a real scene by using an augmented reality technology, a user can see the fault part through a camera, and an animation guidance repair mode is given after the user clicks or a corresponding text, picture, video and the like are given, so that the user is guided to remove the fault, and the fault detection, display and repair are simpler and more convenient.
Drawings
Fig. 1 is a logic block diagram of a vehicle fault auxiliary maintenance method based on augmented reality according to the present invention.
Fig. 2 is a flow chart of data synchronization in the present invention.
Fig. 3 is a diagram illustrating the effect of detecting vehicle faults according to the present invention.
Detailed Description
The invention will be further explained with reference to the drawings and the embodiments.
Example one
Referring to fig. 1, the present embodiment provides an augmented reality-based vehicle failure auxiliary maintenance method, including:
s1, the mobile terminal acquires information of the fault parts;
s2, the mobile terminal highlights the fault parts by adopting a reality augmentation technology based on the fault part information;
and S3, the mobile terminal receives the maintenance auxiliary instruction and displays the maintenance auxiliary information based on the maintenance auxiliary instruction.
The method can accurately prompt the fault information of the vehicle to the vehicle owner, and the user can know the state information of the vehicle at any time and any place through the augmented reality method, and clearly describe the fault position and the fault removing mode, so that the user can timely and rapidly remove the vehicle fault, the competitiveness of the product is enhanced, and the user experience is improved and the user stickiness is enhanced.
In specific implementation, the reality augmentation technology can also adopt a SLAM mode to display, namely projecting a vehicle model of a fault part onto a plane. Therefore, accurate help can be provided for the operation of the user, the viscosity of the user is enhanced, and meanwhile the competitiveness of the product can be greatly improved.
When the method is implemented, before the fault part is highlighted by adopting the reality augmentation technology, the mobile terminal detects whether fault part information exists locally. If so, the locally stored information of the fault part is directly used. Otherwise, the mobile terminal sends the carid of the current vehicle to the cloud terminal and acquires the information of the fault parts stored in the cloud terminal.
Specifically, the maintenance assisting information is at least one of pictures, texts and videos. When the maintenance help information selected by the user through clicking comprises a video, the mobile terminal acquires the fault maintenance video of the vehicle from the cloud and plays the fault maintenance video so as to guide the user to complete maintenance operation.
Example two
The embodiment discloses a computer readable storage medium on the basis of the first embodiment.
A computer readable storage medium having stored thereon a computer management like program, which when executed by a processor, performs the steps of the augmented reality based vehicle fault assisted repair method of the present invention. The computer readable storage medium may be a usb disk, hard disk, or other device with storage capabilities.
EXAMPLE III
The embodiment provides an augmented reality-based vehicle fault auxiliary maintenance system on the basis of the first embodiment, and the system is used in the method and comprises a sensor, a vehicle-mounted terminal, a cloud end and a mobile terminal.
And the sensor is used for acquiring the real-time information of the parts on the vehicle and sending the real-time information to the vehicle-mounted terminal.
And the vehicle-mounted terminal is used for processing the acquired real-time information, defining real-time information different from the original information stored in the vehicle-mounted terminal as fault part information, and uploading the fault part information to the cloud.
And the cloud end is used for storing fault part information and maintenance auxiliary information.
And the mobile terminal is used for acquiring and displaying the information of the fault parts and the maintenance auxiliary information.
Like this, the sensor acquires the real-time information of the spare part on the vehicle and sends vehicle terminal, vehicle terminal handles the real-time information who acquires and uploads trouble spare part information to the high in the clouds, the high in the clouds is used for storing trouble spare part information and maintenance auxiliary information, mobile terminal, be used for acquireing and showing trouble spare part information and maintenance auxiliary information, vehicle trouble information has been looked over on mobile terminal to and look over vehicle trouble and acquire audio-visual video maintenance assistance through the mode of reinforcing reality on mobile terminal, make vehicle trouble's maintenance, it is more accurate to show and maintain, and is simple and convenient.
Therefore, the invention can accurately prompt the fault information of the vehicle to the vehicle owner, and the user can know the state information of the vehicle at any time and any place through the augmented reality method, and clearly describe the fault position and the fault removing mode, so that the user can remove the vehicle fault in time and rapidly, the competitiveness of the product is enhanced, and the user experience is improved and the user viscosity is enhanced.
Example four
In order to further explain that the method can accurately prompt the fault information of the vehicle owner and clearly describe the fault position and the fault removing mode, so that the user can timely and quickly remove the vehicle fault, the embodiment provides the vehicle fault auxiliary maintenance method based on the augmented reality. The method comprises the following specific steps:
1. and synchronizing data of the vehicle end. As shown in fig. 2, data synchronization at the vehicle end is a crucial step in vehicle fault detection, which affects the accuracy and validity of vehicle state information and fault information, each sensor of the vehicle can carry the vehicle state information at ordinary times, when a certain sensor of the vehicle receives the change of the vehicle state information, the information data can be uploaded to the cloud end, and then when the user opens the application, the latest state of the vehicle is pulled from the cloud end. The first step is that the fault information data is uploaded to the cloud under the condition of good network conditions after the data collected by the sensor is stored, the uploading of each piece of information can form a record, the record is recorded into log information so as to facilitate the overall analysis of the vehicle, and the fault information of the cloud server is the latest fault condition. And the second step is that the data is pulled at the mobile terminal, the data is analyzed after being pulled, if the data is not pulled, the user is prompted to pull again, if the data is not pulled successfully for multiple times, the problem data is sent to the cloud terminal, the user is prompted to quit the application at the mobile terminal, and after the data is pulled correctly, the corresponding point is marked. After the two steps, a user firstly detects whether data is changed from a far end when the terminal uses fault detection, if the data is not changed, the last data is used, if the data is changed, the changed data is pulled and then analyzed, and after the analysis, a corresponding change area is marked.
2. And (6) displaying the model. After a user pulls corresponding data through fault detection, a mobile terminal starts to detect whether a vehicle model matched with a vehicle exists locally or not, if the corresponding vehicle model is not obtained in a local file, the mobile terminal sends the carid of the current vehicle to a cloud terminal, the cloud terminal retrieves the vehicle model from a database to obtain the vehicle model of the vehicle, finds the corresponding vehicle model and sends the vehicle model to the mobile terminal, the mobile terminal downloads the vehicle model, the integrity of the vehicle model is detected after the downloading is completed, and the vehicle model is displayed without damage after the detection is completed; if a corresponding vehicle model exists in the local file, the model may be displayed directly. After the augmented reality fault detection function is started, if the augmented reality fault detection function is displayed in an SLAM mode, a model of the vehicle is projected to a plane, and the model is covered on the vehicle in 3D object recognition, then the vehicle shell is displayed in a transparent mode, color marking display is carried out on parts in the vehicle, fault grades are distinguished through colors, and a fault click button is displayed. The vehicle failure detection effect map is shown in fig. 3. It should be noted that the models need to be stored strictly according to the types of vehicles when stored at the far end, and the size of each model needs to be limited, because many part models of each vehicle model can cause great pressure to the storage of the server, the coarse models with the small number of model surfaces are used as much as possible, and only the rough outline of the vehicle needs to be displayed, but if the part with the vehicle fault needs to be guided and repaired by animation, when the user uses the function, the part type of the fault part is judged on the fault part, then the data of the fault part is sent to the far end, the corresponding part model is searched in the database after the data is obtained by the far end, and then the part model is sent to the moving end, and as the guiding animation for fault maintenance needs to be more precise models, the model with good precision needs to be downloaded from the far end, and then the guidance for maintenance of the animation is performed, otherwise the accuracy of the fault repair will be affected. .
3. And (5) maintenance prompt. When a user detects a vehicle fault by using a detection function, a mobile terminal acquires a fault part from a cloud terminal, then marks the fault part, the severity of the fault determines the color of the fault mark, a clickable area is displayed on the mark after the marking is successful, a text picture or video maintenance guide pops up after the user clicks, if the user feels that the fault maintenance help is not great, the maintenance animation guide can be clicked for maintenance, after the animation maintenance guide is clicked, the mobile terminal sends the vehicle type and the fault part of the vehicle to the cloud terminal, the cloud terminal searches a corresponding model from a database and returns the model to a download address of the mobile terminal, the mobile terminal acquires the address and then carries out download operation, after the download is finished, the integrity of the model is detected, if the file is detected to be damaged, the mobile terminal enters an animation maintenance guide process, and if the file is damaged or the download fails, and prompting the user at the mobile terminal, deleting the local damaged file, and re-sending a download request to the remote terminal. And when the requested part model is downloaded, displaying the model and playing the guide animation on the model, so that the user can gradually perform maintenance operation according to the guide animation.
Therefore, the fault information of the vehicle owner can be accurately prompted, the user can know the state information of the vehicle at any time and any place through the method of augmented reality, the fault position and the fault removing mode are clearly described, the user can timely and rapidly remove the vehicle fault, the competitiveness of the product is enhanced, and the user experience is improved and the user viscosity is enhanced.
As mentioned above, the reminder system of the present invention is not limited to the configuration, and other systems capable of implementing the embodiments of the present invention may fall within the protection scope of the present invention.
Finally, it should be noted that the above embodiments are only used for illustrating the technical solutions of the present invention and not for limiting the technical solutions, and those skilled in the art should understand that modifications or equivalent substitutions can be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions, and all that should be covered by the claims of the present invention.
Claims (9)
1. A vehicle fault auxiliary maintenance method based on augmented reality is characterized by comprising the following steps:
s1, the mobile terminal acquires information of the fault parts;
s2, the mobile terminal highlights the fault parts by adopting a reality augmentation technology based on the fault part information;
and S3, the mobile terminal receives the maintenance auxiliary instruction and displays the maintenance auxiliary information based on the maintenance auxiliary instruction.
2. The augmented reality-based vehicle fault auxiliary maintenance method of claim 1, wherein the reality augmentation technology adopts SLAM mode display, namely projecting a vehicle model of a fault part onto a plane.
3. The augmented reality-based vehicle breakdown assistance maintenance method according to claim 1, wherein the reality augmentation technology employs 3D object recognition, i.e. overlaying a model onto a vehicle and then transparently displaying a vehicle housing.
4. The augmented reality-based vehicle fault assisted repair method of claim 1, wherein the highlighting of the faulty component is to color-mark the component in the vehicle and distinguish the fault grade by color.
5. The augmented reality-based vehicle fault assisted repair method according to claim 1, further comprising the steps of detecting whether fault part information exists locally by the mobile terminal; if yes, directly using the locally stored information of the fault parts; otherwise, the mobile terminal sends the carid of the current vehicle to the cloud terminal and acquires the information of the fault parts stored in the cloud terminal.
6. The augmented reality-based vehicle fault assisted repair method of claim 1, wherein the repair assistance information is at least one of a picture, a text and a video.
7. The augmented reality-based vehicle fault auxiliary maintenance method of claim 6, wherein when the maintenance help information selected by the user click comprises a video, the mobile terminal acquires the fault maintenance video of the vehicle from a cloud and plays the video to guide the user to complete the maintenance operation.
8. A storage medium storing one or more programs which, when executed by a processor, perform an augmented reality based vehicle fault assisted repair method as claimed in any one of claims 1 to 7.
9. An augmented reality-based vehicle fault auxiliary maintenance system used in the method of any one of claims 1-7, comprising a sensor, a vehicle-mounted terminal, a cloud terminal and a mobile terminal;
the sensor is used for acquiring real-time information of parts on the vehicle and sending the real-time information to the vehicle-mounted terminal;
the vehicle-mounted terminal is used for processing the acquired real-time information, defining real-time information different from original information stored in the vehicle-mounted terminal as fault part information, and uploading the fault part information to the cloud end;
the cloud end is used for storing fault part information and maintenance auxiliary information;
and the mobile terminal is used for acquiring and displaying the information of the fault parts and the maintenance auxiliary information.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210114665.XA CN114415642A (en) | 2022-01-30 | 2022-01-30 | Augmented reality-based vehicle fault auxiliary maintenance method, storage medium and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210114665.XA CN114415642A (en) | 2022-01-30 | 2022-01-30 | Augmented reality-based vehicle fault auxiliary maintenance method, storage medium and system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN114415642A true CN114415642A (en) | 2022-04-29 |
Family
ID=81278777
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210114665.XA Withdrawn CN114415642A (en) | 2022-01-30 | 2022-01-30 | Augmented reality-based vehicle fault auxiliary maintenance method, storage medium and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114415642A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115469645A (en) * | 2022-09-28 | 2022-12-13 | 中国第一汽车股份有限公司 | Vehicle fault detection method and system based on cloud modeling technology |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108469811A (en) * | 2018-04-20 | 2018-08-31 | 深圳市博德科创新能源技术有限公司 | A kind of auxiliary system and its control method based on vehicle breakdown diagnostic system |
| US20190279438A1 (en) * | 2018-03-09 | 2019-09-12 | Progress Rail Locomotive Inc. | Systems and methods for servicing a vehicle |
| CN110490339A (en) * | 2019-08-23 | 2019-11-22 | 北京枭龙科技有限公司 | A kind of auto repair auxiliary system and method based on augmented reality |
| CN112001505A (en) * | 2020-07-10 | 2020-11-27 | 吉利汽车研究院（宁波）有限公司 | Vehicle fault active solving method and device, storage medium and automobile control terminal |
-
2022
- 2022-01-30 CN CN202210114665.XA patent/CN114415642A/en not_active Withdrawn
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20190279438A1 (en) * | 2018-03-09 | 2019-09-12 | Progress Rail Locomotive Inc. | Systems and methods for servicing a vehicle |
| CN108469811A (en) * | 2018-04-20 | 2018-08-31 | 深圳市博德科创新能源技术有限公司 | A kind of auxiliary system and its control method based on vehicle breakdown diagnostic system |
| CN110490339A (en) * | 2019-08-23 | 2019-11-22 | 北京枭龙科技有限公司 | A kind of auto repair auxiliary system and method based on augmented reality |
| CN112001505A (en) * | 2020-07-10 | 2020-11-27 | 吉利汽车研究院（宁波）有限公司 | Vehicle fault active solving method and device, storage medium and automobile control terminal |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115469645A (en) * | 2022-09-28 | 2022-12-13 | 中国第一汽车股份有限公司 | Vehicle fault detection method and system based on cloud modeling technology |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| KR102094341B1 (en) | System for analyzing pot hole data of road pavement using AI and for the same | |
| CN110490339A (en) | A kind of auto repair auxiliary system and method based on augmented reality | |
| KR102195999B1 (en) | Method, device and system for processing image tagging information | |
| CN109638959B (en) | Power equipment remote signaling function debugging method and system based on AR and deep learning | |
| CN104137154A (en) | Systems and methods for managing video data | |
| CN113688290A (en) | Interactive electronic maintenance system for vehicle chassis | |
| CN113283347B (en) | Assembly job guidance method, device, system, server and readable storage medium | |
| CN114415642A (en) | Augmented reality-based vehicle fault auxiliary maintenance method, storage medium and system | |
| CN112639824A (en) | Intelligent maintenance method and device for optical fiber network | |
| CN112949457A (en) | Maintenance method, device and system based on augmented reality technology | |
| CN113987393A (en) | Web page operation recorder, system, device and method | |
| CN114419590B (en) | Verification method, device, equipment and storage medium of high-precision map | |
| CN113792173A (en) | Vehicle source picture marking method and device, electronic equipment and readable medium | |
| EP4016382A1 (en) | Method for configuring and displaying, in augmented, mixed or extended reality, information relating to a device installed on a real site, associated computer program product and electronic device | |
| CN112654975A (en) | Intelligent management method and management system for optical fiber network | |
| CN114444856A (en) | Auxiliary assembly system | |
| WO2015001103A1 (en) | Validation system of a control-command system | |
| CN113411368B (en) | Data synchronization method and device, storage medium and electronic equipment | |
| CN116402497B (en) | AR-based equipment overhaul and maintenance method and system | |
| CN110796024B (en) | Automatic driving visual perception test method and device for failure sample | |
| CN117877706A (en) | Augmented reality-based medical equipment auxiliary operation method, system, equipment and storage medium | |
| CN115460429B (en) | Method, electronic equipment and storage medium for monitoring and supervising water quality sampling | |
| CN118034254A (en) | Vehicle fault positioning method, device, equipment and storage medium | |
| CN116424276A (en) | Augmented reality-based vehicle fault auxiliary maintenance method | |
| CN116150215A (en) | Deviation correcting method and device for equipment position, storage medium and electronic equipment |
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 | ||
| WW01 | Invention patent application withdrawn after publication |
Application publication date: 20220429 |
|
| WW01 | Invention patent application withdrawn after publication |