CN115359218A - Smart campus operation and maintenance management system based on virtual reality - Google Patents

Smart campus operation and maintenance management system based on virtual reality Download PDF

Info

Publication number
CN115359218A
CN115359218A CN202210979838.4A CN202210979838A CN115359218A CN 115359218 A CN115359218 A CN 115359218A CN 202210979838 A CN202210979838 A CN 202210979838A CN 115359218 A CN115359218 A CN 115359218A
Authority
CN
China
Prior art keywords
campus
correction
dimensional model
correction information
information
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
CN202210979838.4A
Other languages
Chinese (zh)
Inventor
陈艺戎
翁金阳
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.)
Zhejiang Zhengyuan Zhihui Technology Co ltd
Original Assignee
Zhejiang Zhengyuan Zhihui 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 Zhejiang Zhengyuan Zhihui Technology Co ltd filed Critical Zhejiang Zhengyuan Zhihui Technology Co ltd
Priority to CN202210979838.4A priority Critical patent/CN115359218A/en
Publication of CN115359218A publication Critical patent/CN115359218A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T19/00Manipulating 3D models or images for computer graphics
    • G06T19/006Mixed reality
    • 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
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10Services
    • G06Q50/20Education
    • G06Q50/205Education administration or guidance

Landscapes

  • Business, Economics & Management (AREA)
  • Engineering & Computer Science (AREA)
  • Educational Technology (AREA)
  • Strategic Management (AREA)
  • Tourism & Hospitality (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Educational Administration (AREA)
  • Computer Hardware Design (AREA)
  • Computer Graphics (AREA)
  • General Engineering & Computer Science (AREA)
  • Software Systems (AREA)
  • Health & Medical Sciences (AREA)
  • Economics (AREA)
  • General Health & Medical Sciences (AREA)
  • Human Resources & Organizations (AREA)
  • Marketing (AREA)
  • Primary Health Care (AREA)
  • General Business, Economics & Management (AREA)
  • Processing Or Creating Images (AREA)

Abstract

The invention discloses a virtual reality-based smart campus operation and maintenance management system, and relates to the technical field of virtual reality campus operation and maintenance management; the user uploading unit uploads correction information by means of all audience objects, and the correction information can help the system to quickly identify positions, identify the correction information and identify individual customized requirements or overall model change requirements caused by campus environment change; and then according to the accurately identified requirement, receiving correction information transmitted by the user uploading unit by means of the processor, and carrying out model auditing and updating by combining with an auditing rule base, thereby realizing customized change of the campus three-dimensional model and also being capable of changing a public area.

Description

Smart campus operation and maintenance management system based on virtual reality
Technical Field
The invention belongs to the technical field of virtual reality campus operation and maintenance management, and particularly relates to a virtual reality-based intelligent campus operation and maintenance management system.
Background
Patent publication No. CN106384387A discloses a method for realizing a virtual reality campus, which comprises the following steps: acquiring a campus integral map, and performing three-dimensional modeling according to roads and building positions marked on the campus integral map to form a virtual reality campus base; acquiring three-dimensional drawings of buildings in a campus, and arranging the three-dimensional drawings to corresponding positions of a base respectively; and naming roads in the campus and corresponding parts of all buildings in the virtual reality campus according to the campus global map, wherein the naming is floating on the surface of the buildings. The embodiment of the invention has the following beneficial effects: according to the method for realizing the virtual reality campus, the base of the virtual reality campus is set firstly, then each building is gradually filled on the base, drawing of a little is not needed, combination is performed after drawing is performed by multiple people conveniently, the construction speed of the virtual reality campus is increased, the workload is small, and the virtual reality campus is easier to realize.
However, for the three-dimensional model of the campus, the external world may be more generally, for schools in this school, especially new-born or some students unfamiliar to the school, if the three-dimensional model can be used for quickly memorizing school routes to better adapt to campus life, the three-dimensional model can serve the masses and also can be used for customizing the students, which is a difficult problem, and a solution is provided based on the problem.
Disclosure of Invention
The present invention is directed to solving at least one of the problems of the prior art; therefore, the invention provides a virtual reality-based smart campus operation and maintenance management system.
Wisdom campus operation and maintenance management system based on virtual reality includes:
the user experience unit is used for experiencing virtual reality equipment of a school environment for the corresponding audience object;
the user uploading unit is used for uploading correction information to all the audience objects, and the correction information comprises a correction object, correction content and a reference object; the correction object is a picture of a content object which needs to be corrected or added with notes by a user, and the corrected content is the content which needs to be corrected corresponding to the correction object; the reference object is a picture of a reference object which is not changed; the number of reference objects must not be less than two;
the user uploading unit is used for transmitting the correction information and the user identity to the processor, and the user identity is obtained automatically through the identity information of the user personal account;
the model auditing updating rule is stored in the auditing rule base; the processor receives the correction information transmitted by the user uploading unit, and performs model auditing and updating by combining with the auditing rule base, wherein the specific mode of the model auditing and updating is as follows:
the method comprises the following steps: acquiring all correction information and corresponding user identities in the last half month;
step two: selecting a piece of correction information optionally, marking the correction information as classified information, then acquiring the quantity of the correction information consistent with the classified information characterization, and marking the quantity as the characterization quantity;
step three: performing initial item division according to the representation quantity, specifically, if the representation quantity exceeds X2, marking the corresponding divided information as common correction information; otherwise, marking the binary information as binary information; where X2 is a predetermined number;
step four: then, performing label direction analysis on the binary information, and marking the binary information as private correction information or public correction information according to an analysis result;
step five: carrying out correction processing on the common correction information, wherein the specific correction mode is as follows:
firstly, acquiring a corresponding correction object, and determining modification points of a campus three-dimensional model according to the correction object, wherein the modification points are modification positions;
then acquiring all reference objects; adjusting the three-dimensional model according to the position of the reference object to enable the view angle of the campus three-dimensional model to be consistent with the view angle of the reference object, then selecting n groups of feature line segments formed by two feature points from all the reference objects, then selecting the position consistent with the feature points in the campus three-dimensional model according to the same position points to select real time points, and connecting the real time points to form a real time line segment; n is a preset numerical value;
dividing the real-time line segment by the characteristic line segment to obtain n conversion ratios, and marking the conversion ratios as Bi, i =1,. Cndot.n;
then automatically acquiring the mean value of Bi, marking the mean value as P, and calculating the polymerization degree D of Bi by using a formula, wherein the specific calculation formula is as follows:
Figure BDA0003798721200000031
where | x | is expressed as taking the absolute value of the number in parentheses;
when D is less than or equal to X4, marking P as a nuclear conversion ratio, otherwise, deleting data, specifically, sequentially selecting Bi according to the sequence of Bi-P from large to small, deleting one Bi value when each Bi value is selected, recalculating the value of the polymerization degree D after deletion, if the value is still greater than X4, continuing to delete the Bi value, if the number of the deleted Bi values exceeds 0.3 times, and the n value does not meet the condition that the number of the deleted Bi values is less than or equal to X4, generating a point re-fetching signal, otherwise, marking P as the nuclear conversion ratio; x4 is a preset numerical value;
and according to the nuclear transformation ratio, carrying out geometric transformation on the correction object to the position of the campus three-dimensional model to obtain an updated campus three-dimensional model, and marking the updated campus three-dimensional model as the correction campus model.
Further, also includes
The data acquisition unit is used for acquiring three-dimensional data in a campus and transmitting the acquired three-dimensional data to the model initial building unit, the model initial building unit is used for building a campus three-dimensional model according to the three-dimensional data, and the model initial building unit is used for transmitting the campus three-dimensional model to the three-dimensional model library.
Further, the nearly half month in step one refers to a period of 15 days from the current time onward.
Further, the consistency in step two means that the correction objects in the correction information are kept consistent, the correction content is kept consistent in mimicry, and the mimicry is represented as:
and comparing the corrected contents word by word to obtain the similarity of the corrected contents, and if the similarity exceeds X1, representing that the mimicry is consistent, wherein X1 is a preset numerical value.
Further, the specific way of the targeting analysis in the fourth step is as follows:
s1: then acquiring a correction object, correction content and a reference object in binary information;
s2: determining the position corresponding to a correction object in the campus three-dimensional model according to the correction object, acquiring a field picture of a real-time scene at the position, comparing the correction object with the field picture, and if the similarity of the correction object and the field picture exceeds X3, marking the correction object as private correction information, otherwise, marking the correction object as public correction information; x3 is a preset value.
Further, the processor is used for transmitting the corrected campus model to the stereo model library through the modeling modification unit, and replacing the corrected campus model with the original campus three-dimensional model.
Further, the management unit is in communication connection with the processor and is used for recording all preset values.
Further, the model auditing and updating step further comprises the following steps:
correcting the privacy correction information in the following specific processing mode:
locking a user interface corresponding to the privacy correction information, and correcting the campus three-dimensional model at the personal user side;
directly locking the position in the corresponding campus three-dimensional model according to the correction object; and then updating the corrected content into the campus three-dimensional model to form a private campus three-dimensional model of the user, binding the campus three-dimensional model with the user account, and not displaying the campus three-dimensional model in other user accounts.
Compared with the prior art, the invention has the beneficial effects that:
according to the method, the user uploading unit uploads the correction information by means of all the audience objects, the correction information can help the system to quickly identify the position, identify the correction information and identify the personal customization requirement or the integral model change requirement caused by campus environment change; and then according to the accurately identified requirements, receiving correction information transmitted by the user uploading unit by means of the processor, and carrying out model auditing and updating by combining the auditing rule base, thereby realizing customized change of the campus three-dimensional model and changing the public area.
Drawings
FIG. 1 is a block diagram of the system of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood 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 obtained by a person skilled in the art without making any creative effort based on the embodiments in the present invention, belong to the protection scope of the present invention.
Referring to fig. 1, the present application provides a virtual reality-based smart campus operation and maintenance management system, which includes a data acquisition unit, a model initial building unit, a three-dimensional model library, a user experience unit, a modeling modification unit, a processor, a user uploading unit, a management unit, and an audit rule library;
the data acquisition unit is used for acquiring three-dimensional data in a campus, the data such as the size and the position relation of each building and transmitting the acquired three-dimensional data to the model primary building unit, the model primary building unit is used for building a campus three-dimensional model according to the three-dimensional data, and the model primary building unit is used for transmitting the campus three-dimensional model to the three-dimensional model library;
the user experience unit is virtual reality equipment for experiencing the school environment by corresponding audience objects, and the students visit and learn the school by means of the user experience unit; the audience objects are new students who enter the school or other students who are not familiar with the school environment;
certainly, the user uploading unit is used for uploading correction information to a found wrong place or an updated campus environment after a building is changed when all audience objects are strolling in the campus, the correction information must include a correction object, correction content and at least two other reference objects, the correction object is a picture of a content object which a user personally needs to correct or add remarks, and the correction content is content which corresponds to the correction object and needs to be corrected, such as a name, a size or other contents; the reference object is a picture of a building object or other contents which do not change;
the user uploading unit is used for transmitting the correction information and the user identity to the processor, and the user identity is obtained automatically through the identity information of the user personal account;
model audit update rules are stored in the audit rule base; the processor receives the correction information transmitted by the user uploading unit, and performs model auditing and updating by combining with the auditing rule base, wherein the specific mode of the model auditing and updating is as follows:
the method comprises the following steps: acquiring all correction information and corresponding user identities in the last half month; the last half month is a time period of 15 days from the current time;
step two: selecting a piece of correction information optionally, marking the correction information as classified information, then acquiring the quantity of the correction information consistent with the classified information characterization, and marking the quantity as the characterization quantity;
the consistency of the representation here means that the correction objects in the correction information are kept consistent, the correction content is kept consistent in a mimicry, and the mimicry refers to that:
comparing the corrected contents word by word to obtain the similarity of the two, if the similarity exceeds X1, representing that the mimicry is consistent, wherein X1 is a preset value, generally taking thirty percent, and the administrator can set other values according to actual conditions;
the specific example is that the representation quantity here refers to that the name or other contents of a certain building at the same position are corrected, or the correction object is a position, and the correction contents are that the specific building at the position has been changed into other buildings or places;
step three: carrying out initial item division according to the representation quantity, wherein the initial item division mode is as follows:
if the representation quantity exceeds X2, marking the corresponding divided information as common correction information; otherwise, marking the binary information as binary information; here, X2 is a preset value, generally takes the value of three, and may be set to other values, of course;
step four: and then, performing targeting analysis on the binary information, wherein the specific mode of the targeting analysis is as follows:
s1: then acquiring a correction object, correction content and a reference object in the binary information;
s2: determining the position corresponding to the correction object in the campus three-dimensional model according to the correction object, acquiring a field picture of a real-time scene at the position, comparing the correction object with the field picture, if the similarity of the correction object and the field picture exceeds X3, marking the correction object as private correction information, and otherwise, marking the correction object as public correction information; x3 is a preset numerical value, and is generally 0.5;
step five: carrying out correction processing on the common correction information, wherein the specific correction mode is as follows:
firstly, acquiring a corresponding correction object, and determining modification points of a campus three-dimensional model according to the correction object, wherein the modification points are modification positions;
then acquiring all reference objects; adjusting the three-dimensional model according to the position of the reference object to enable the viewing angle of the campus three-dimensional model to be consistent with the viewing angle of the reference object, then selecting n groups of feature line segments formed by two feature points from all the reference objects, then selecting real-time points from the positions consistent with the feature points in the campus three-dimensional model according to the same position points, and connecting the real-time points to form a real-time line segment; n is a preset numerical value;
dividing the real-time line segment by the characteristic line segment to obtain n conversion ratios, and marking the conversion ratios as Bi, i = 1.
Then automatically acquiring the mean value of Bi, marking the mean value as P, and calculating the polymerization degree D of Bi by using a formula, wherein the specific calculation formula is as follows:
Figure BDA0003798721200000071
where | x | is expressed as taking the absolute value of the number in parentheses;
when D is less than or equal to X4, marking P as a nuclear transformation ratio, otherwise, deleting data, specifically, sequentially selecting Bi according to the sequence of Bi-P from large to small, deleting one Bi value when each Bi value is selected, recalculating the value of the polymerization degree D after deletion, if the value is still larger than X4, continuing to delete, if the number of the deleted Bi values exceeds 0.3 times, and the n value does not meet the condition that the n value is smaller than or equal to X4, generating a point re-fetching signal, otherwise, marking P as the nuclear transformation ratio; x4 is a preset numerical value, and the value is generally 2.5;
according to the nuclear transformation ratio, the correction object is transformed to the position of the campus three-dimensional model in an equal ratio mode to obtain an updated campus three-dimensional model, and the updated campus three-dimensional model is marked as a correction campus model; if the campus model correction position cannot be perfected, management personnel can be automatically reminded to carry out maintenance correction.
Step six: correcting the privacy correction information, wherein the specific processing mode is as follows:
locking a user interface corresponding to the privacy correction information, and correcting the campus three-dimensional model at the personal user side;
directly locking the position in the corresponding campus three-dimensional model according to the correction object; and then updating the corrected content into the campus three-dimensional model to form a private campus three-dimensional model of the user, binding the campus three-dimensional model with the user account, and not displaying the campus three-dimensional model in other user accounts.
The processor is used for transmitting the corrected campus model to the stereo model library through the modeling modification unit and replacing the corrected campus model with the original campus three-dimensional model.
The management unit is in communication connection with the processor and is used for recording all preset values.
Part of data in the formula is obtained by removing dimensions and calculating the numerical value of the data, and the formula is a formula which is closest to the real condition and obtained by simulating a large amount of collected data through software; the preset parameters and the preset threshold values in the formula are set by those skilled in the art according to actual conditions or obtained through simulation of a large amount of data.
Although the present invention has been described in detail with reference to the preferred embodiments, it will be understood by those skilled in the art that various changes may be made and equivalents may be substituted for elements thereof without departing from the spirit and scope of the present invention.

Claims (8)

1. Wisdom campus operation and maintenance management system based on virtual reality, its characterized in that includes:
the user experience unit is used for experiencing virtual reality equipment of a school environment for the corresponding audience object;
the user uploading unit is used for uploading correction information to all the audience objects, and the correction information comprises a correction object, correction content and a reference object; the correction object is a picture of a content object which needs to be corrected or added with notes by a user, and the corrected content is the content which needs to be corrected corresponding to the correction object; the reference object is a picture of a reference object which is not changed; the number of reference objects must not be less than two;
the user uploading unit is used for transmitting the correction information and the user identity to the processor, and the user identity is obtained automatically through the identity information of the user personal account;
model audit update rules are stored in the audit rule base; the processor receives the correction information transmitted by the user uploading unit, and performs model verification updating by combining with the verification rule base, wherein the specific mode of the model verification updating is as follows:
the method comprises the following steps: acquiring all correction information and corresponding user identities in the last half month;
step two: selecting a piece of correction information optionally, marking the correction information as classified information, then acquiring the quantity of the correction information consistent with the classified information characterization, and marking the quantity as the characterization quantity;
step three: performing initial item division according to the representation quantity, specifically, if the representation quantity exceeds X2, marking the corresponding divided information as common correction information; otherwise, marking the binary information as binary information; where X2 is a predetermined number;
step four: then, performing label direction analysis on the binary information, and marking the binary information as private correction information or public correction information according to an analysis result;
step five: the common correction information is corrected by the following specific correction method:
firstly, acquiring a corresponding correction object, and determining modification points of a campus three-dimensional model according to the correction object, wherein the modification points are modification positions;
then acquiring all reference objects; adjusting the three-dimensional model according to the position of the reference object to enable the viewing angle of the campus three-dimensional model to be consistent with the viewing angle of the reference object, then selecting n groups of feature line segments formed by two feature points from all the reference objects, then selecting real-time points from the positions consistent with the feature points in the campus three-dimensional model according to the same position points, and connecting the real-time points to form a real-time line segment; n is a preset numerical value;
dividing the real-time line segment by the characteristic line segment to obtain n conversion ratios, and marking the conversion ratios as Bi, i = 1.
Then, automatically acquiring the mean value of Bi, marking the mean value as P, and calculating the polymerization degree D of Bi by using a formula, wherein the specific calculation formula is as follows:
Figure FDA0003798721190000021
where | x | represents the absolute value of the number in parentheses;
when D is less than or equal to X4, marking P as a nuclear transformation ratio, otherwise, deleting data, specifically, sequentially selecting Bi according to the sequence of Bi-P from large to small, deleting one Bi value when each Bi value is selected, recalculating the value of the polymerization degree D after deletion, if the value is still larger than X4, continuing to delete, if the number of the deleted Bi values exceeds 0.3 times, and the n value does not meet the condition that the n value is smaller than or equal to X4, generating a point re-fetching signal, otherwise, marking P as the nuclear transformation ratio; x4 is a preset numerical value;
and according to the nuclear transformation ratio, carrying out geometric transformation on the correction object to the position of the campus three-dimensional model to obtain an updated campus three-dimensional model, and marking the updated campus three-dimensional model as the correction campus model.
2. The virtual reality-based wisdom campus operation and maintenance management system of claim 1, further comprising
The data acquisition unit is used for acquiring three-dimensional data in a campus and transmitting the acquired three-dimensional data to the model establishing unit, the model establishing unit is used for establishing a campus three-dimensional model according to the three-dimensional data, and the model establishing unit is used for transmitting the campus three-dimensional model to the three-dimensional model library.
3. The virtual reality-based smart campus operation and maintenance management system as claimed in claim 1, wherein the approximately half month in step one is represented by a 15 day period from the current time.
4. The virtual reality-based smart campus operation and maintenance management system according to claim 1, wherein the consistency in step two means that the correction objects in the correction information are consistent, and the correction contents are consistent in a mimicry, and the mimicry refers to:
and comparing the corrected contents word by word to obtain the similarity of the corrected contents, and if the similarity exceeds X1, representing that the mimicry is consistent, wherein X1 is a preset numerical value.
5. The virtual reality-based smart campus operation and maintenance management system according to claim 1, wherein the targeting analysis in step four is specifically as follows:
s1: then acquiring a correction object, correction content and a reference object in binary information;
s2: determining the position corresponding to the correction object in the campus three-dimensional model according to the correction object, acquiring a field picture of a real-time scene at the position, comparing the correction object with the field picture, if the similarity of the correction object and the field picture exceeds X3, marking the correction object as private correction information, and otherwise, marking the correction object as public correction information; x3 is a preset value.
6. The virtual reality-based smart campus operation and maintenance management system according to claim 1, wherein the processor is configured to transmit the corrected campus model to the three-dimensional model library via the modeling modification unit, and to replace the original campus three-dimensional model with the corrected campus model.
7. The virtual reality-based smart campus operation and maintenance management system as claimed in claim 1, wherein said management unit is communicatively connected to said processor for entering all preset values.
8. The virtual reality-based smart campus operation and maintenance management system according to claim 1, wherein the model auditing and updating step further includes the steps of:
correcting the privacy correction information, wherein the specific processing mode is as follows:
locking a user interface corresponding to the privacy correction information, and correcting the campus three-dimensional model at the personal user side;
directly locking the position in the corresponding campus three-dimensional model according to the correction object; and then updating the corrected content into the campus three-dimensional model to form a private campus three-dimensional model of the user, binding the campus three-dimensional model with the user account, and not displaying the campus three-dimensional model in other user accounts.
CN202210979838.4A 2022-08-15 2022-08-15 Smart campus operation and maintenance management system based on virtual reality Pending CN115359218A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202210979838.4A CN115359218A (en) 2022-08-15 2022-08-15 Smart campus operation and maintenance management system based on virtual reality

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202210979838.4A CN115359218A (en) 2022-08-15 2022-08-15 Smart campus operation and maintenance management system based on virtual reality

Publications (1)

Publication Number Publication Date
CN115359218A true CN115359218A (en) 2022-11-18

Family

ID=84001355

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202210979838.4A Pending CN115359218A (en) 2022-08-15 2022-08-15 Smart campus operation and maintenance management system based on virtual reality

Country Status (1)

Country Link
CN (1) CN115359218A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117808632A (en) * 2024-02-29 2024-04-02 南京市金地物业有限责任公司 Processing method for property cleaning management system

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117808632A (en) * 2024-02-29 2024-04-02 南京市金地物业有限责任公司 Processing method for property cleaning management system
CN117808632B (en) * 2024-02-29 2024-05-24 南京市金地物业有限责任公司 Processing method for property cleaning management system

Similar Documents

Publication Publication Date Title
Fonte et al. Usability of VGI for validation of land cover maps
KR101615171B1 (en) system and method for providing collaborative contents service based on augmented reality
CN112235384A (en) Data transmission method, device, equipment and storage medium in distributed system
WO2022166681A1 (en) Virtual scenario generation method and apparatus, and device and storage medium
Morton et al. Virtual city models: Avoidance of obsolescence
CN115359218A (en) Smart campus operation and maintenance management system based on virtual reality
CN111581421B (en) Image retrieval method, image retrieval device, and image retrieval system
CN111008340A (en) Course recommendation method, device and storage medium
JP2023000361A (en) Data for 3d object management, computer program, and method for distributedly managing 3d object
CN105847368A (en) Evaluation information display method and device
CN110196951A (en) User matching method and equipment
CN112015829A (en) Management method and system for one-standard three-real data
CN111861135A (en) Student comprehensive quality evaluation method and device, electronic equipment and storage medium
CN113420261B (en) Course recommendation method, device, equipment and medium based on attribution analysis
CN109582939B (en) Bubble chart display method and device
CN108958571B (en) Three-dimensional session data display method and device, storage medium and computer equipment
Eastman et al. The GIS handbook
CN113836425A (en) Movie recommendation method, device and equipment based on heteromorphic image attention network
Redondo et al. Architectural geo-E-learning: geolocated teaching in urban environments with mobile devices: a case study and work in progress
JP2016071017A (en) Group learning system
CN108717809A (en) A kind of virtual reality emulation tutoring system
Korn et al. VIRUS Atlas Austria–COVID-19, labor market and demography at a glance
CN107146488A (en) A kind of learning system based on virtual reality
Hyman et al. GIS for sustainable development at local scales: Applications in the rural hillsides, savannas and forest margins of Latin America
Masser Managing Our Urban Future: 185The Role of Remote Sensing and Geographic Information Systems

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