CN110298919B - Cloud service system applied to intelligent measurement of building - Google Patents
Cloud service system applied to intelligent measurement of building Download PDFInfo
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- CN110298919B CN110298919B CN201910395461.6A CN201910395461A CN110298919B CN 110298919 B CN110298919 B CN 110298919B CN 201910395461 A CN201910395461 A CN 201910395461A CN 110298919 B CN110298919 B CN 110298919B
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B11/00—Measuring arrangements characterised by the use of optical techniques
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
- G06T17/05—Geographic models
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
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Abstract
The invention discloses a cloud service system applied to intelligent measurement of buildings, which comprises a mobile client, wherein a measurement service application is sent to a cloud service platform, and comprises target geographic information to be measured and building object information; the cloud service platform is used for analyzing the received measurement service application, acquiring the geographic information of the target to be measured and the building object information, driving the actual measurement robot and sending the measurement service information to the actual measurement robot; receiving and processing measurement data uploaded by the actual measurement robot, analyzing the measurement data to generate a measurement report of the building object, and feeding back the measurement data and the measurement report to the mobile client; the actually measured robot is a movable robot based on laser SLAM and is used for driving the robot to address to a target address to be measured according to the received geographic information of the target to be measured, entering a building object room, starting a laser scanner to scan the building object in an omnibearing manner, and collecting measurement data of the building object and uploading the measurement data to a cloud service platform.
Description
Technical Field
The invention relates to the field of building measurement, in particular to a cloud service system applied to intelligent building measurement.
Background
Engineering quality plays a very important role in building construction, each province market has issued a residential engineering household quality acceptance system according to actual conditions, a process acceptance link is strengthened, a plurality of building developers push out a quality acceptance system of actual measurement actual quantity according to the system, the actual measurement actual quantity is a key technology for periodically sampling, checking, identifying and actively eliminating project risks of the building quality, and the actual measurement data should reflect the actual quality of the building project so as to monitor each process of the building project in real time and comprehensively improve the engineering quality management level.
In the past, the actual measurement of the building mostly adopts manual measurement, the manual measurement has high cost, and errors and deviations are unavoidable due to the limitation of measurement tools and measurement operations, so that the satisfaction degree of building developers is difficult to improve. At present, a laser distance meter or a laser leveling instrument is also used in the building measurement work, but only small-range point-to-point or end-to-end point taking measurement can be completed, the work efficiency is low, and the engineering progress is influenced during stage inspection.
Disclosure of Invention
The invention mainly aims to provide a cloud service system applied to intelligent measurement of buildings, and aims to overcome the problems.
In order to achieve the aim, the cloud service system applied to intelligent measurement of buildings, provided by the invention, comprises a mobile client, a cloud service platform and an actual measurement robot which are interactively connected,
the mobile client is used for sending a measurement service application to the cloud service platform, wherein the measurement service application comprises target geographic information to be measured and building object information;
the cloud service platform is used for analyzing the received measurement service application, acquiring the geographic information of the target to be measured and the building object information, mapping the measurement service application into a driving instruction of the actual measurement robot, and sending the geographic information of the target to be measured and the building object information to the actual measurement robot; the method comprises the steps of receiving and processing measurement data uploaded by a measured robot, loading the measurement data to generate a three-dimensional simulation measured graph and a measurement report of a building object, and feeding the three-dimensional simulation measured graph and the measurement report back to a mobile client;
the actually-measured robot is a movable robot based on laser SLAM and is used for driving the robot to address to a target address to be measured according to the received geographic information of the target to be measured, entering a building object room, starting a laser scanner to scan the building object in an omnibearing manner so as to acquire measurement data of the building object and uploading the measurement data to a cloud service platform;
the Wish3D cloud service is a third party cloud service bridged by the cloud service platform and is used for providing a Wish3D three-dimensional model to realize measurement data processed by the cloud service platform as 3D scene display and deviation data, and the measurement data are issued to the mobile client and stored in the cloud service platform.
Preferably, the cloud service platform is based on an Apache CXF framework, and comprises:
the service-oriented SOA interface layer is an interactive middleware between the cloud service platform and the mobile client and between the cloud service platform and the actual measurement robot, and is used for defining an interactive interface, analyzing a measurement service application through an Apache CXF framework to send the obtained geographic information of the target to be measured and the building object information to the SOA interface layer, and mapping the received measurement service application into an actual measurement robot calling instruction which can be identified by the cloud service platform by the SOA interface layer; and inputting the received measurement data into a cloud platform base layer for cloud processing; providing a service configuration and management interface of a service implementation layer;
the service implementation layer is used for packaging cloud services of the cloud service platform, wherein the cloud services comprise:
the file storage service is used for the storage service of the cloud platform service;
the application query service is used for querying the target measurement geographic address and the building object information by the cloud platform;
the path optimization service is used for carrying out path optimization according to the inquiry target measurement geographic address to obtain an optimal path and sending the optimal path to the actual measurement robot;
the data processing service is used for performing point cloud processing on the measured data and processing the measured data into three-dimensional data required by the Wish3D cloud service object;
the cloud platform base layer belongs to PaaS-level service, is used for being responsible for cloud processing and storage management of interaction data and providing a unified access interface for platform service, and the core of the cloud platform base layer comprises a part applied to an actual measurement robot, a cloud processing part for measurement data and a part facing a mobile client;
and the physical resource layer belongs to the Iaas-level service and is used for virtualizing the OpenStack basic hardware into hardware resources available for the platform and providing operation environment support for cloud services, wherein the operation environment support comprises file resources, bridging resources, equipment resources and measurement data resources.
The service-oriented SOA interface layer comprises:
the service management center is used for providing management and calling of cloud platform services, wherein the cloud platform services comprise user registration, inquiry and modification of a mobile client and a management interface for providing cloud platform services for the actually-measured robot;
the user interaction agent is used for finishing the feedback of the measurement service application and the result thereof by adopting a double-queue mode of an input-output queue, temporarily storing the service application of the user by using the service application queue, temporarily storing the returned result by using the calling result queue, and allowing the mobile client to acquire the service calling result in a synchronous mode and an asynchronous mode;
the service situation monitor is used for tracking situation information of service instances in the interaction process of the cloud service platform, the mobile terminal and the actually-measured robot and generating cloud service situation information;
the service call agent is used for adding other service examples into the dynamic data, opening up a data area and tracking situation information of the other service examples for transferring services for calling other functional services.
Preferably, the part of the cloud platform base layer applied to the actually measured robot is built based on a distributed system base architecture Apache Hadoop, deployment of the cloud platform base layer is realized based on a distributed cluster configuration tool Ambari, a distributed application program coordination service Zookeeper is used, a GAOne distributed database HBase and a data management tool HCatalog are adopted to interact data between a programming model MapReduce and a distributed file system Hadoop, and the distributed file system Hadoop operates on a physical resource layer.
Preferably, the part of the cloud platform base layer facing the mobile client is to load measurement data in a Wish3D model, and the fusion Wish3D cloud service is issued to the mobile client.
Preferably, the number of the actually measured robots is one or a plurality of the service-oriented SOA interface layers, the number of the service-oriented SOA interface layers is one or a plurality of layers, and the actually measured robots and the service-oriented SOA interface layers realize SLAM instance service through strong coupling interaction.
In the embodiment of the invention, a measurement application sent by a mobile client is received through a cloud service platform, the measurement application is analyzed, the geographic information of a target to be measured and the information of a building object are obtained and sent to an actual measurement robot, the actual measurement robot is driven to reach the target address to be measured, various measurement data in a building room are collected through laser scanning of the building object, various items including but not limited to a door, a window, a wall surface, a corner, a table top and the like, the collected measurement data are sent to the cloud service platform to generate a three-dimensional simulation actual measurement diagram and a measurement report of the building object, and the three-dimensional simulation actual measurement diagram and the measurement report of the building object are sent to the mobile client. The whole quality detection process of the building object is completed automatically without manual work, the method is convenient and quick, the data error and deviation are small, the data and reports obtained by the user truly reflect the actual measurement result of the building object, and the actual measurement experience of the user is improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to the structures shown in these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a deployment diagram of an embodiment of the present invention;
FIG. 2 is a schematic diagram of the cloud service platform;
the achievement of the objects, functional features and advantages of the present invention will be further described with reference to the accompanying drawings, in conjunction with the embodiments.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are only some, but not all embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
It should be noted that, if directional indications (such as up, down, left, right, front, and rear … …) are included in the embodiments of the present invention, the directional indications are merely used to explain the relative positional relationship, movement conditions, etc. between the components in a specific posture (as shown in the drawings), and if the specific posture is changed, the directional indications are correspondingly changed.
In addition, if there is a description of "first", "second", etc. in the embodiments of the present invention, the description of "first", "second", etc. is for descriptive purposes only and is not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include at least one such feature. In addition, the technical solutions of the embodiments may be combined with each other, but it is necessary to base that the technical solutions can be realized by those skilled in the art, and when the technical solutions are contradictory or cannot be realized, the combination of the technical solutions should be considered to be absent and not within the scope of protection claimed in the present invention.
As shown in fig. 1-2, the cloud service system applied to intelligent measurement of buildings provided by the invention comprises a mobile client, a cloud service platform and an actual measurement robot which are interactively connected,
the mobile client is used for sending a measurement service application to the cloud service platform, wherein the measurement service application comprises target geographic information to be measured and building object information;
the cloud service platform is used for analyzing the received measurement service application, acquiring the geographic information of the target to be measured and the building object information, mapping the measurement service application into a driving instruction of the actual measurement robot, and sending the geographic information of the target to be measured and the building object information to the actual measurement robot; the method comprises the steps of receiving and processing measurement data uploaded by a measured robot, loading the measurement data to generate a three-dimensional simulation measured graph and a measurement report of a building object, and feeding the three-dimensional simulation measured graph and the measurement report back to a mobile client;
the actually-measured robot is a movable robot based on laser SLAM and is used for driving the robot to address to a target address to be measured according to the received geographic information of the target to be measured, entering a building object room, starting a laser scanner to scan the building object in an omnibearing manner so as to acquire measurement data of the building object and uploading the measurement data to a cloud service platform;
the Wish3D cloud service is a third party cloud service bridged by the cloud service platform and is used for providing a Wish3D three-dimensional model to realize measurement data processed by the cloud service platform as 3D scene display and deviation data, and the measurement data are issued to the mobile client and stored in the cloud service platform.
In the embodiment of the invention, a measurement application sent by a mobile client is received through a cloud service platform, the measurement application is analyzed, the geographic information of a target to be measured and the information of a building object are obtained and sent to an actual measurement robot, the actual measurement robot is driven to reach the target address to be measured, various measurement data in a building room are collected through laser scanning of the building object, various items including but not limited to a door, a window, a wall surface, a corner, a table top and the like, the collected measurement data are sent to the cloud service platform to generate a three-dimensional simulation actual measurement diagram and a measurement report of the building object, and the three-dimensional simulation actual measurement diagram and the measurement report of the building object are sent to the mobile client. The whole quality detection process of the building object is completed automatically without manual work, the method is convenient and quick, the data error and deviation are small, the data and reports obtained by the user truly reflect the actual measurement result of the building object, and the actual measurement experience of the user is improved.
Preferably, the cloud service platform is based on an Apache CXF framework, and comprises:
the service-oriented SOA interface layer is an interactive middleware between the cloud service platform and the mobile client and between the cloud service platform and the actual measurement robot, and is used for defining an interactive interface, analyzing a measurement service application through an Apache CXF framework to send the obtained geographic information of the target to be measured and the building object information to the SOA interface layer, and mapping the received measurement service application into an actual measurement robot calling instruction which can be identified by the cloud service platform by the SOA interface layer; and inputting the received measurement data into a cloud platform base layer for cloud processing; providing a service configuration and management interface of a service implementation layer;
the service implementation layer is used for packaging cloud services of the cloud service platform, wherein the cloud services comprise:
the file storage service is used for the storage service of the cloud platform service;
the application query service is used for querying the target measurement geographic address and the building object information by the cloud platform;
the path optimization service is used for carrying out path optimization according to the inquiry target measurement geographic address to obtain an optimal path and sending the optimal path to the actual measurement robot;
the data processing service is used for performing point cloud processing on the measured data and processing the measured data into three-dimensional data required by the Wish3D cloud service object;
the cloud platform base layer belongs to PaaS-level service, is used for being responsible for cloud processing and storage management of interaction data and providing a unified access interface for platform service, and the core of the cloud platform base layer comprises a part applied to an actual measurement robot, a cloud processing part for measurement data and a part facing a mobile client;
and the physical resource layer belongs to the Iaas-level service and is used for virtualizing the OpenStack basic hardware into hardware resources available for the platform and providing operation environment support for cloud services, wherein the operation environment support comprises file resources, bridging resources, equipment resources and measurement data resources.
The service-oriented SOA interface layer comprises:
the service management center is used for providing management and calling of cloud platform services, wherein the cloud platform services comprise user registration, inquiry and modification of a mobile client and a management interface for providing cloud platform services for the actually-measured robot;
the user interaction agent is used for finishing the feedback of the measurement service application and the result thereof by adopting a double-queue mode of an input-output queue, temporarily storing the service application of the user by using the service application queue, temporarily storing the returned result by using the calling result queue, and allowing the mobile client to acquire the service calling result in a synchronous mode and an asynchronous mode;
the service situation monitor is used for tracking situation information of service instances in the interaction process of the cloud service platform, the mobile terminal and the actually-measured robot and generating cloud service situation information;
a service call agent, which is a transfer service for calling other functional services, is used for adding other service examples into the dynamic data, opening up a data area and tracking situation information of the other service examples;
preferably, the part of the cloud platform base layer applied to the actually measured robot is built based on a distributed system base architecture Apache Hadoop, deployment of the cloud platform base layer is realized based on a distributed cluster configuration tool Ambari, a distributed application program coordination service Zookeeper is used, a GAOne distributed database HBase and a data management tool HCatalog are adopted to interact data between a programming model MapReduce and a distributed file system Hadoop, and the distributed file system Hadoop operates on a physical resource layer.
Preferably, the part of the cloud platform base layer facing the mobile client is used for loading the measurement data in the Wish3D model, and the fusion Wish3D cloud service is issued to the mobile client.
In the embodiment of the invention, the cloud service platform encapsulates different applications into unified services through the SOA interface layer, so that the difference between systems is shielded, the problem of non-uniform interfaces of the actually measured robot and the point-to-point services of the cloud service platform is solved, and the strong coupling between the cloud service platform and a plurality of actually measured machines is realized; in the embodiment of the invention, the distributed application program coordination service Zookeeper ensures the strong consistency of the data; in the embodiment of the invention, the base hardware is virtually customized and flexibly managed by using OpenSstack through the bottom layer of the cloud service platform; in the embodiment of the invention, the user interaction agent finishes the application and result processing by using a double-queue mode of the input-output queue, temporarily stores the service application of the user by using the service application queue, and reduces the concurrent request load of the platform.
In the embodiment of the invention, the cloud service platform bridges a third-party cloud service, namely a Wish3D cloud service, loads the processed measurement data into a Wish3D three-dimensional model, realizes the 3D scene display in a target room to be tested, acquires deviation data of the target room to be tested and a building quality reference, and releases the deviation data to a mobile client and stores the deviation data in the cloud service platform.
The foregoing description is only of the preferred embodiments of the present invention and is not intended to limit the scope of the invention, and all equivalent structural changes made by the description of the present invention and the accompanying drawings or direct/indirect application in other related technical fields are included in the scope of the invention.
Claims (5)
1. A cloud service system applied to intelligent measurement of buildings is characterized by comprising a mobile client, a cloud service platform and an actual measurement robot which are interactively connected,
the mobile client is used for sending a measurement service application to the cloud service platform, wherein the measurement service application comprises target geographic information to be measured and building object information;
the cloud service platform is used for analyzing the received measurement service application, acquiring the geographic information of the target to be measured and the building object information, mapping the measurement service application into a driving instruction of the actual measurement robot, and sending the geographic information of the target to be measured and the building object information to the actual measurement robot; the method comprises the steps of receiving and processing measurement data uploaded by a measured robot, loading the measurement data to generate a three-dimensional simulation measured graph and a measurement report of a building object, and feeding the three-dimensional simulation measured graph and the measurement report back to a mobile client;
the actually measured robot is a movable robot based on laser SLAM and is used for driving the robot to address to a target address to be measured according to the received geographic information of the target to be measured, entering a building object room, starting a laser scanner to scan the building object in an omnibearing manner so as to acquire measurement data of the building object and uploading the measurement data to a cloud service platform
The cloud service platform, based on an Apache CXF framework, comprises:
the service-oriented SOA interface layer is an interactive middleware between the cloud service platform and the mobile client and between the cloud service platform and the actual measurement robot, and is used for defining an interactive interface, analyzing a measurement service application through an Apache CXF framework to send the obtained geographic information of the target to be measured and the building object information to the SOA interface layer, and mapping the received measurement service application into an actual measurement robot calling instruction which can be identified by the cloud service platform by the SOA interface layer; and inputting the received measurement data into a cloud platform base layer for cloud processing; providing a service configuration and management interface of a service implementation layer;
the service implementation layer is used for packaging cloud services of the cloud service platform, wherein the cloud services comprise file storage services and storage services used for the cloud platform services; the application query service is used for querying the target measurement geographic address and the building object information by the cloud platform; the path optimization service is used for carrying out path optimization according to the inquiry target measurement geographic address to obtain an optimal path and sending the optimal path to the actual measurement robot; the data processing service is used for performing point cloud processing on the measured data and processing the measured data into three-dimensional data required by the Wish3D cloud service object;
the cloud platform base layer belongs to PaaS-level service, is used for being responsible for cloud processing and storage management of interaction data and providing a unified access interface for platform service, and the core of the cloud platform base layer comprises a part applied to an actual measurement robot, a cloud processing part for measurement data and a part facing a mobile client;
the physical resource layer belongs to the Iaas-level service and is used for virtualizing the OpenStack basic hardware into hardware resources available for the platform and providing operation environment support for cloud services, wherein the operation environment support comprises file resources, bridging resources, equipment resources and measurement data resources;
the Wish3D cloud service is a third party cloud service bridged by the cloud service platform and is used for providing a Wish3D three-dimensional model to realize measurement data processed by the cloud service platform as 3D scene display and deviation data, and the measurement data are issued to the mobile client and stored in the cloud service platform.
2. The cloud service system for intelligent measurement of building of claim 1, wherein said service-oriented SOA interface layer comprises:
the service management center is used for providing management and calling of cloud platform services, wherein the cloud platform services comprise user registration, inquiry and modification of a mobile client and a management interface for providing cloud platform services for the actually-measured robot;
the user interaction agent is used for finishing the feedback of the measurement service application and the result thereof by adopting a double-queue mode of an input-output queue, temporarily storing the service application of the user by using the service application queue, temporarily storing the returned result by using the calling result queue, and allowing the mobile client to acquire the service calling result in a synchronous mode and an asynchronous mode;
the service situation monitor is used for tracking situation information of service instances in the interaction process of the cloud service platform, the mobile terminal and the actually-measured robot and generating cloud service situation information;
the service call agent is used for adding other service examples into the dynamic data, opening up a data area and tracking situation information of the other service examples for transferring services for calling other functional services.
3. The cloud service system for intelligent measurement of building according to claim 1, wherein the part of the cloud platform base layer applied to the actually measured robot is built based on a distributed system base architecture Apache Hadoop, deployment of the cloud platform base layer is realized based on a distributed cluster configuration tool Ambari, a distributed application coordination service Zookeeper is used, a GAOne distributed database HBase and a data management tool HCatalog are adopted to exchange data between a programming model MapReduce and a distributed file system Hadoop, and the distributed file system Hadoop runs on a physical resource layer.
4. The cloud service system for intelligent measurement of building according to claim 1, wherein the part of the cloud platform base layer facing the mobile client is to load measurement data in a Wish3D model, and the fusion Wish3D cloud service is issued and stored to the mobile client.
5. The cloud service system for intelligent measurement of building according to any one of claims 1-4, wherein the number of the actually measured robots is one or more, the number of the service-oriented SOA interface layers is one or more, and the actually measured robots and the service-oriented SOA interface layers are in strong-coupling interaction to realize SLAM instance service.
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| CN110595446B (en) * | 2019-08-19 | 2021-12-24 | 广东领盛装配式建筑科技有限公司 | Building actual measurement method and device based on virtual guiding rule |
| CN111664780A (en) * | 2020-05-11 | 2020-09-15 | 上海嘉实（集团）有限公司 | Real-time measuring and judging method, system, medium and device for building |
| CN112945085A (en) * | 2020-08-03 | 2021-06-11 | 深圳市明源云链互联网科技有限公司 | Measurement method and electronic device |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN203732989U (en) * | 2013-12-17 | 2014-07-23 | 国家电网公司 | Transformer station intelligent routing inspection robot having three-dimensional laser scanning function |
| WO2015062399A1 (en) * | 2013-10-31 | 2015-05-07 | 乐视网信息技术（北京）股份有限公司 | Cloud service platform middleware and cloud uploading method |
| CN105856243A (en) * | 2016-06-28 | 2016-08-17 | 湖南科瑞特科技股份有限公司 | Movable intelligent robot |
| GB201705067D0 (en) * | 2016-03-31 | 2017-05-17 | Avaya Inc | Communication systems for multi-source robot control |
| CN108880887A (en) * | 2018-06-20 | 2018-11-23 | 山东大学 | Accompany and attend to robot cloud service system and method based on micro services |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US9817922B2 (en) * | 2014-03-01 | 2017-11-14 | Anguleris Technologies, Llc | Method and system for creating 3D models from 2D data for building information modeling (BIM) |
-
2019
- 2019-05-13 CN CN201910395461.6A patent/CN110298919B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2015062399A1 (en) * | 2013-10-31 | 2015-05-07 | 乐视网信息技术（北京）股份有限公司 | Cloud service platform middleware and cloud uploading method |
| CN203732989U (en) * | 2013-12-17 | 2014-07-23 | 国家电网公司 | Transformer station intelligent routing inspection robot having three-dimensional laser scanning function |
| GB201705067D0 (en) * | 2016-03-31 | 2017-05-17 | Avaya Inc | Communication systems for multi-source robot control |
| CN105856243A (en) * | 2016-06-28 | 2016-08-17 | 湖南科瑞特科技股份有限公司 | Movable intelligent robot |
| CN108880887A (en) * | 2018-06-20 | 2018-11-23 | 山东大学 | Accompany and attend to robot cloud service system and method based on micro services |
Non-Patent Citations (1)
| Title |
|---|
| 一种机器人云平台服务构建与调度新方法;周风余等;《机器人》;20170115(第01期);全文 * |
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