CN108933826A - A kind of bionic machine based on team control mode can autonomous scout cloud platform - Google Patents

A kind of bionic machine based on team control mode can autonomous scout cloud platform Download PDF

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Publication number
CN108933826A
CN108933826A CN201810713049.XA CN201810713049A CN108933826A CN 108933826 A CN108933826 A CN 108933826A CN 201810713049 A CN201810713049 A CN 201810713049A CN 108933826 A CN108933826 A CN 108933826A
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China
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data
monitoring
module
server
bionical
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CN201810713049.XA
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Chinese (zh)
Inventor
陈立家
黄伟龙
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Henan Polymerization Technology Co Ltd
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Henan Polymerization Technology Co Ltd
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Priority to CN201810713049.XA priority Critical patent/CN108933826A/en
Publication of CN108933826A publication Critical patent/CN108933826A/en
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/02Protocols based on web technology, e.g. hypertext transfer protocol [HTTP]
    • H04L67/025Protocols based on web technology, e.g. hypertext transfer protocol [HTTP] for remote control or remote monitoring of applications
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/10Protocols in which an application is distributed across nodes in the network
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/10Protocols in which an application is distributed across nodes in the network
    • H04L67/1097Protocols in which an application is distributed across nodes in the network for distributed storage of data in networks, e.g. transport arrangements for network file system [NFS], storage area networks [SAN] or network attached storage [NAS]
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/12Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
    • H04L67/125Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks involving control of end-device applications over a network

Abstract

The present invention relates to monitoring technology fields, disclose a kind of bionic machine based on team control mode can autonomous scout cloud platform, including bionical main body and control system, control system include monitoring client, monitoring client is used to select the object to be monitored for user, further includes: function server cluster;Cloud platform server cluster, the monitoring client are arranged in bionical main body;Bionical main body includes bionical shell, and bionical shell is waterproof sealing shell;Bionical hull outside is provided with multiple underwater driving devices, and bionical housing bottom is provided with adjustable fixing device.The present invention can destroy bionical main body to avoid marine animal;It not only can change the installation site of bionical main body, increase monitoring range, and when marine animal is to destroy bionical main body, driving device can make bionical main body mobile, and bionical main body is avoided to be destroyed.

Description

A kind of bionic machine based on team control mode can autonomous scout cloud platform
Technical field
The present invention relates to monitoring technology fields, and in particular to a kind of bionic machine based on team control mode can autonomous detect Examine cloud platform.
Background technique
With national economic development, more and more artificially improves the quality of living at present or loosen mood, like in the free time Time goes to travel in all parts of the country or even foreign country, but the passenger to play by the sea in recent years can because plunge into the commercial sea privately diving or because Accident occurs to fall into seawater, leads to that accident occurs, and at present for avoid it is such happen, seawater bottom is provided with monitoring Device, for monitoring the emergency case below seawater, but monitoring device can lead to monitoring device because of the destruction of marine organisms Mobile or damage, cannot play the role of monitoring.
Summary of the invention
Based on the above technical problem, the present invention provides a kind of bionic machines based on team control mode can autonomous scouting Cloud platform leads to the technical issues of cannot playing the role of monitoring to solve existing seabed monitoring device movement or damage.
The technical solution adopted by the invention is as follows:
A kind of bionic machine based on team control mode can autonomous scout cloud platform, including bionical main body and control system System, control system includes monitoring client, and the monitoring client is used to select the object to be monitored for user, further includes:
Function server cluster: dynamic monitoring level and monitored object are needed for receiving monitoring client selection, monitoring is referred to Order issues;
Cloud platform server cluster: the monitoring for receive capabilities server cluster instructs, the nodal information that will be monitored Send function server cluster to;The monitoring client is arranged in bionical main body;
Bionical main body includes bionical shell, and bionical shell is waterproof sealing shell;Bionical hull outside is provided with multiple water Lower driving device, bionical housing bottom are provided with adjustable fixing device.
Preferably, the function server cluster include Message Queuing server, central server, web page server and Database server, the Message Queuing server are responsible for receiving the data that each node sends over, and according to center service The demand of device carries out the delivering that process generates data;The central server is used to received data carrying out data persistence, And check node listing and monitoring data stream;The web page server is used to provide Visualization Service for user monitoring, and supports Data query function;The database server is for carrying out large-scale data analysis, inquiry, insertion operation.
Preferably, the central server includes:
Data persistence module: it is responsible for the data of unpacking carrying out persistence, and is stored in database server;
Alarm module: it is responsible for checking node listing and monitoring data stream, if there is the condition of triggering alarm, then by alarm signal Breath is sent to web page server;
Node listing update module: it is responsible for collector node information, and is updated among node listing;
Node listing analysis module: it is responsible for continual analysis node list state and the node being newly added is exited Nodal information is sent to web page server by alarm module.
Preferably, the database of the database server uses MongoDB, including host node and multiple from node, institute It states from node and host node Process Synchronization.
Preferably, the web page server includes data pool, and the data pool is for storing all nodes in entire cluster The latest value of monitoring information.
Preferably, the cloud platform server cluster includes cluster virtual machine and physical machine cluster, the cluster virtual machine It include at least one virtual machine and physical machine with physical machine cluster, the virtual machine is communicated with corresponding physical machine.
Preferably, the cloud platform server cluster includes data collection module, control unit, data packaging unit, prison Listen unit and system parameter XML configuration unit;The data collection module parses system, extracts useful monitoring number According to;Described control unit controls process according to the instruction of function server cluster, guarded or is developed;The data encapsulation Unit is used to complete the conversion and encapsulation of monitoring data, and sending module process data is facilitated to transmit, and the monitoring unit is responsible for prison The instruction that data queue's server sends over is accepted, and is passed to corresponding module;The system parameter XML configuration unit It is mainly responsible for the configuration of system basic parameter.
Preferably, the data collection module includes three modules :/proc parsing module, the customized collection module of user With third side plug collection module, described/proc parsing module be responsible for operating system /proc file system parses, Useful monitoring data is extracted, the customized collection module of user supports the customized monitoring mould of user by opening API Formula, the third side plug collection module are used to support user configuration and use third side plug collection kit or agreement.
Preferably, described control unit includes be sunk into sleep functional module, PROCESS CONTROL MODULE and the customized control module of user, For ensuring that the finger daemon lightweight is run, the PROCESS CONTROL MODULE is used for according to function services the functional module of being sunk into sleep The instruction of device cluster changes a certain running state of a process or kills the process, and the customized control module of user is for convenient Consumer process secondary development controls software using third party.
In conclusion by adopting the above-described technical solution, the beneficial effects of the present invention are:
1, the bionical main body of the present invention is bionical shell, and can disguise oneself as marine animal, and marine animal is avoided to destroy bionical master Body;Bionical shell is provided with underwater driving device, not only can change the installation site of bionical main body, increases monitoring range, and And when marine animal is to destroy bionical main body, driving device can make bionical main body mobile, and bionical main body is avoided to be destroyed;It can Bionical main body can be fixed by adjusting fixed device, and bionical main body is avoided to be moved by subsea environment.
2, the present invention carries out dynamic real-time monitor to the physical machine and virtual machine run in cluster, in addition to the operation of cluster Situation is monitored in real time with the problem of emerged in operation, provides more real-time, reliable and detailed monitoring for cluster administrator Service;Monitoring nodes are believed in addition, the open type cloud computing monitoring system for large scale cluster and method thereof of the embodiment of the present invention is unified Breath is reported, and monitoring information is carried out unified storage, avoids the monitoring information for all storing entire cluster on each node, Prevent a large amount of data redundancy.
Specific embodiment
All features disclosed in this specification can be with any other than mutually exclusive feature and/or step Mode combines.
A kind of bionic machine based on team control mode can autonomous scout cloud platform, including bionical main body and control system System, control system include cloud platform service subsystem, acquisition terminal, monitor terminal, and acquisition terminal is arranged in bionical main body;
Bionical main body includes bionical shell, and bionical shell is waterproof sealing shell;Bionical hull outside is provided with multiple water Lower driving device, bionical housing bottom are provided with adjustable fixing device.
The present invention includes function server cluster, cloud platform server cluster and the monitoring client for running finger daemon.Wherein The granularity for running the cloud platform server cluster of finger daemon can be Federation (alliance), or Cluster collection Group's (node server cluster).Function server cluster includes monitoring server and Message Queuing server, wherein monitoring service Device is one, and Message Queuing server can be more.Monitoring server includes web page server, central server and database Server.The database of monitoring server operates in one using MongoDB (database based on distributed document storage) On database server, such as NoSQL database (database of non-relational) server.Monitoring client (can use for PC JSP form web page is presented) or mobile phone (being interacted using http protocol with Web server).Cloud platform server cluster includes virtual Machine cluster and physical machine cluster, cluster virtual machine and physical machine cluster include at least one virtual machine and physical machine, virtual machine with Corresponding physical machine is communicated.
In terms of monitoring business flowpath, user can select the object to be monitored in monitoring client first, and monitoring client can incite somebody to action later The object requests information sends web page server to, and web page server judges the monitoring information source of needs, if necessary to from It is read in database server, then can directly read the related data in database server MengoDB.If necessary from node Middle reading can then send to node and order, and node upon command can be read out relevant monitoring information, transmit later To web page server, web page server is sent to monitoring client after integrating to the data sent.In alert service stream In terms of journey, Cluster node and Message Queuing server in cloud platform server cluster can send warning message to webpage Server, web page server is pushed to monitoring mobile phone end after being handled data and alarms later.In data persistence In terms of operation flow, each node in cloud platform server cluster in Cluster can periodically be passed the information monitored Message Queuing server is given, later, reduced data can be inserted into database and carry out persistently by Message Queuing server Change.At the same time, Message Queuing server will be updated internal NodeTable (node listing), and be monitored to it, if Find the problem to be sent to monitoring server for error message in time in a manner of alarming, and monitoring server is later by warning message It is pushed to mobile phone.
Cloud platform server cluster includes data collection module, control unit, data packaging unit, system parameter XML (System Parameter XML) configuration unit and monitoring unit.
Data collection module (Data Collection Unit) includes three modules :/proc parsing module (/proc Analysis Module), the customized collection module of user (User Defined Collector Module) and third party insert Part collection module (Third-part Collector Module)./ proc parsing module is the default loading module of system, is born Blame to operating system /proc file system parses, to extract useful monitoring data.The customized collection mould of user Block (User Defined Collector Module) supports the customized monitoring mode of user by opening API, and user can be with Custom parameter collection method and type.Third side plug collection module is used to support user configuration and uses third side plug Collection kit or agreement, such as SNMP and cpu fan revolving speed and temperature collection plug-in unit etc..
Control unit includes that three modules are sunk into sleep functional module (Sleeping Function Module), Process flowchart mould Block (Process Control Module) and the customized control module of user (User Define Control Module).It is heavy It sleeps functional module and is in order to ensure finger daemon lightweight operation, therefore some functional modules are not run, be in " being sunk into sleep " State, waiting signal receiving module receive order and are activated.These functions include some functions being of little use, including guard into Journey stops sending monitoring information, finger daemon transmission information frequency change etc..PROCESS CONTROL MODULE is according to function server cluster Instruction change a certain running state of a process or kill the process, its significance lies in that assisting cluster diagnostic module and alarm module Process is locked in advance, waits the process instruction of user, keeps node operation safer.The customized control module of user Similar with user's self-defining data collection module function, the customized control module of user is consumer process secondary development for convenience Or software is controlled using third party, it is user-friendly by opening API.
Data packaging unit (Data Packaging Unit) mainly completes the conversion and encapsulation of monitoring data, facilitates hair Send module process data transmission, including three modules: default package module (Default Packaging Module), other envelopes Die-filling piece (Other Packaging Module) and the customized package module of user (User Defined Packaging Module).Default package module to be used for when user is without other settings, system will be using default package module, the module Using a kind of JSON (Java Script Object Notation, data interchange format of lightweight) data encapsulation format into Row encapsulation.Other package modules (Other Packaging Module) meet different for prestoring other data package modules Monitor the demand of user.The customized package module of user (User Defined Packaging Module) is for reserving user Self-defining data package module, user can be by the open APIs that system provides come self-defining data assembly strategy.
Monitoring unit (Listening Module) mainly includes information receiving module and data transmission blocks.Information receives Module is mainly responsible for the instruction monitored and sended over from data queue's server, and is passed to corresponding module.Data are sent Module is mainly responsible for and will collect packed data and uninterruptedly send data queue's server to according to assigned frequency.If monitored Unit is connected to stopping and sends instruction, then information receiving module will stop working with data transmission blocks.
System parameter XML configuration unit is mainly responsible for the configuration of system basic parameter, uses for other modules.System parameter XML configuration unit and monitoring server use identical XML, can guarantee monitoring data from content, format and frequency in this way Consistency.
Monitoring server includes: Message Queuing server (Message Queue Service), central server (Center Service), network server (Web Service) and database server (NoSQL Database Service).The function such as data receiver, analysis, monitoring and the visualization of the public module for completing monitoring server of four modules Energy.This four modules can be separately positioned on four different servers, so that monitoring service cluster is formed, it can also root Any combination according to computer room situation and machine performance, so that system be made to have bigger retractility.It is between four modules because mutual Mutually frequently communication, therefore four modules are preferably able to inside same local area network, to guarantee communication quality and speed.
Message Queuing server (Message Queue Service) is responsible for receiving the data that each node sends over, And carry out the delivering of process data according to the demand of central server.Message Queuing server carries out data using rabbitMQ It receives, store and delivers, can guarantee that the extensive of data receives and prevent loss of data in this way.The core of Message Queuing server The heart is a storage queue, which is responsible for the data process for sending over each node storage, later according to center service The demand of device (Center Service) carries out data pop-up and sends.The sending module run on each Node uses The development kit of rabbitMQ can need not consider the specific sending method of data in this way, send fully according to the data of rabbitMQ Mode carries out.And on each central server, it has also run using the reception program in rabbitMQ development kit, for transporting Row consumer (Consumer), so that process data receives.The Message Queuing server designed by this structure, can The data receiver of process large-scale cluster, to ensure that system does the monitoring for being able to carry out large-scale cluster.And it is based on The data storage of rabbitMQ sends and receives, and ensure that the integrality of data and the high efficiency of communication.
Central server (Center Service) is that the device of this monitoring system core the most and this system communicate most Frequently, most complicated module, therefore, the design of central server will be related to the stability of whole system.Central server Include:
Data persistence module (Data Persistent Module): it is responsible for the data of unpacking being stored in database service Device (Database Service), the module run without interruption in the whole system operation phase, as long as data collection module is collected To data, then data persistence is carried out;
Alarm module: being responsible for uninterrupted inspection node listing and monitoring data stream then leads to if there is the condition of triggering alarm Data exchange module (Data Switch Module) is crossed to send warning message in web page server;
Node listing update module: it is responsible for collector node information, and is updated among node listing;
Node listing analysis module: it is responsible for continual analysis node list state and the node being newly added is exited Nodal information is sent in web page server by alarm module.
Data persistence module, alarm module and node listing analysis and update module are simultaneously deposited, corresponding without precedence It is exactly three threads of a process into program, can guarantees that wherein the failure of any one functional module will not influence another in this way The execution of outer functional module.
Database server (Database Service) is the module for running NoSQL database service, in the module when Preceding operation MongoDB database server.Since the database server will carry out large-scale data point at each moment The operations such as analysis, inquiry, insertion, therefore all operations are all concentrated in together to the pressure that certainly will will cause server, so this Server makes full use of the copy function of MongoDB, can cope with failover, data integration with duplication, can also be used to Do reading extension, warm back-up or the data source as processed offline.It include host node in the framework of database server and more It is a from node, can be synchronous with the data process of host node from node, and share different tasks, such as cluster analysis, cluster Information inquiry etc..Host node is responsible for the insertion and update of data specially.Multiple tasks can be substantially reduced in this way to individual data The pressure of library node.Wherein, it host node and may operate on the same server from node, different clothes can also be dispersed in It is engaged on device.
Web page server (Web Service) is responsible for user monitoring and provides Visualization Service, and support data query etc. Other more complicated functions.Web page server is simultaneously that the monitoring page based on WEB is provided with based on Android client Service.Although providing service for different clients, its realize all be it is identical, its business is completed using Java and is patrolled Volume, therefore, the service of the two can put together, and identical class and conjunction etc. also can be used.The server is most important Structure is comprising a data pool, which creates when WEB container starts, and the data pool is for depositing Store up the latest value of all monitoring nodes information in entire cluster, and among continuous update, and monitoring system only need to be from Adjusting in the pond goes specific data that can be monitored.
The open cloud computing large-scale cluster monitoring method of the embodiment of the present invention includes:
Step 100: user selects to need dynamic monitoring level and monitored object according to self-demand, and monitoring level can be Physical machine or virtual machine are also possible to the two while monitoring;
Step 200: according to the monitoring level and dynamic monitored object of user's selection, system automatically generated monitoring information figure;
In step 200, monitoring information figure is heartbeat figure, and abscissa is for the time, and ordinate is that the data that monitor are big Small user can arbitrarily adjust monitoring period interval during monitoring, and system can change heartbeat figure according to the adjustment of user Presentation mode.
In step 200, if user's selection is to current cluster State Diagnosis, it is transferred to step 202, if user exists The cluster monitoring page is opened in Web page, is transferred to step 205;
Step 202: system analyzes the node listing being stored in Message Queuing server, to extract current Whether there is node to exit or increase newly node in cluster, forms diagnostic message A1, and be transferred to step 203;
Step 203: data persistence being carried out using NoSQL database MongoDB, system extracts nearly one minute persistence Data, and the information such as network I/O, memory, CPU, disk are analyzed, to extract the operation conditions of cluster, form diagnosis Information A2, and it is transferred to step 204;
Step 204: forming last diagnostic information A1+A2, and the information is pushed into web page server.It waits next time Diagnostic command;
Step 205: if there is user opens the cluster monitoring page in Web page, Web server can every 10 seconds to The cluster monitoring module of Message Queuing server sends monitor command can be to itself after cluster monitoring module receives the order Node listing is analyzed, to analyze the change conditions of current cluster interior joint, is formed monitoring information A3, is transferred to step 206;
Step 206: Message Queuing server sends monitoring information A3 in Web server, waits monitoring next time Request.
Step 300: mouse is moved to the specific number of checking monitoring information on chart during monitoring.
The present invention is specified by open cluster node daemon module collection user or customized nodal information, right The physical machine that runs in cluster and virtual machine carry out dynamic real-time monitor, in addition to the operation conditions of cluster and emerged in operation Problem is monitored in real time, provides more real-time, reliable and detailed monitoring service for cluster administrator;In addition, the present invention unites One reports monitoring nodes information, and monitoring information is carried out unified storage, avoids all storing on each node entire The monitoring information of cluster prevents a large amount of data redundancy of node.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all in essence of the invention Made any modifications, equivalent replacements, and improvements etc., should all be included in the protection scope of the present invention within mind and principle.

Claims (9)

1. a kind of bionic machine based on team control mode can autonomous scout cloud platform, it is characterised in that: including bionical main body And control system, control system include monitoring client, the monitoring client is used to select the object to be monitored for user, further includes:
Function server cluster: needing dynamic monitoring level and monitored object for receiving monitoring client selection, will be under monitoring instruction Hair;
Cloud platform server cluster: the monitoring for receive capabilities server cluster instructs, and the nodal information monitored is transmitted Give function server cluster;The monitoring client is arranged in bionical main body;
Bionical main body includes bionical shell, and bionical shell is waterproof sealing shell;Bionical hull outside is provided with multiple underwater drives Dynamic device, bionical housing bottom are provided with adjustable fixing device.
2. the bionic machine according to claim 1 based on team control mode can autonomous scout cloud platform, feature exists In: the function server cluster includes Message Queuing server, central server, web page server and database service Device, the Message Queuing server are responsible for receiving the data that each node sends over, and according to the demand of central server into The delivering of traveling journey generation data;The central server is used to received data carrying out data persistence, and checks node List and monitoring data stream;The web page server is used to provide Visualization Service for user monitoring, and supports data query function Energy;The database server is for carrying out large-scale data analysis, inquiry, insertion operation.
3. the bionic machine according to claim 2 based on team control mode can autonomous scout cloud platform, feature exists In: the central server includes:
Data persistence module: it is responsible for the data of unpacking carrying out persistence, and is stored in database server;
Alarm module: it is responsible for checking node listing and monitoring data stream, if there is the condition of triggering alarm, then send out warning message It is sent to web page server;
Node listing update module: it is responsible for collector node information, and is updated among node listing;
Node listing analysis module: being responsible for continual analysis node list state, for the node being newly added, the node that exits Information is sent to web page server by alarm module.
4. the bionic machine according to claim 2 based on team control mode can autonomous scout cloud platform, feature exists MongoDB is used in: the database of the database server, including host node and multiple from node, it is described from node and master Node processes are synchronous.
5. the bionic machine according to claim 2 based on team control mode can autonomous scout cloud platform, feature exists In: the web page server includes data pool, and the data pool is for storing in entire cluster all monitoring nodes information most New value.
6. the bionic machine according to claim 1 based on team control mode can autonomous scout cloud platform, feature exists In: the cloud platform server cluster include cluster virtual machine and physical machine cluster, the cluster virtual machine and physical machine cluster Including at least one virtual machine and physical machine, the virtual machine is communicated with corresponding physical machine.
7. the bionic machine according to claim 1 or 2 based on team control mode can autonomous scout cloud platform, feature Be: the cloud platform server cluster includes data collection module, control unit, data packaging unit, monitoring unit and is System parameter XML configuration unit;The data collection module parses system, extracts useful monitoring data;The control Unit processed controls process according to the instruction of function server cluster, guarded or is developed;The data packaging unit is used for The conversion and encapsulation for completing monitoring data facilitate sending module process data to transmit, and the monitoring unit is responsible for monitoring from data The instruction that queue server sends over, and it is passed to corresponding module;The system parameter XML configuration unit is mainly responsible for The configuration of system basic parameter.
8. the bionic machine according to claim 7 based on team control mode can autonomous scout cloud platform, feature exists In: the data collection module includes three modules :/proc parsing module, the customized collection module of user and third side plug Collection module, described/proc parsing module be responsible for operating system /proc file system parses, extract useful Monitoring data, the customized collection module of user support the customized monitoring mode of user, the third party by opening API Plug-in unit collection module is used to support user configuration and uses third side plug collection kit or agreement.
9. the bionic machine according to claim 7 based on team control mode can autonomous scout cloud platform, feature exists In: described control unit includes be sunk into sleep functional module, PROCESS CONTROL MODULE and the customized control module of user, the function of being sunk into sleep For module for ensuring that the finger daemon lightweight is run, the PROCESS CONTROL MODULE is used for the instruction according to function server cluster Change a certain running state of a process or kill the process, the customized control module of user is for facilitating consumer process secondary Exploitation controls software using third party.
CN201810713049.XA 2018-06-29 2018-06-29 A kind of bionic machine based on team control mode can autonomous scout cloud platform Pending CN108933826A (en)

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Publication number Priority date Publication date Assignee Title
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CN204310024U (en) * 2014-11-14 2015-05-06 福建省泉州市第七中学 Aquatic bionic detection fish
CN204701760U (en) * 2015-05-18 2015-10-14 陈丽芬 A kind of flapping wing type bionic underwater robot
CN106864708A (en) * 2017-01-23 2017-06-20 西北工业大学 Underwater operation robot and its control method that a kind of bionical knife edge leg of migration mixing is combined with omni-directional wheel
CN206307256U (en) * 2016-12-12 2017-07-07 深圳航天旭飞科技有限公司 Underwater robot and underwater robot system

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103024060A (en) * 2012-12-20 2013-04-03 中国科学院深圳先进技术研究院 Open type cloud computing monitoring system for large scale cluster and method thereof
CN204310024U (en) * 2014-11-14 2015-05-06 福建省泉州市第七中学 Aquatic bionic detection fish
CN204701760U (en) * 2015-05-18 2015-10-14 陈丽芬 A kind of flapping wing type bionic underwater robot
CN206307256U (en) * 2016-12-12 2017-07-07 深圳航天旭飞科技有限公司 Underwater robot and underwater robot system
CN106864708A (en) * 2017-01-23 2017-06-20 西北工业大学 Underwater operation robot and its control method that a kind of bionical knife edge leg of migration mixing is combined with omni-directional wheel

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Application publication date: 20181204