CN104748796A - Sensing method, sensor and sensor cluster - Google Patents
Sensing method, sensor and sensor cluster Download PDFInfo
- Publication number
- CN104748796A CN104748796A CN201510145746.6A CN201510145746A CN104748796A CN 104748796 A CN104748796 A CN 104748796A CN 201510145746 A CN201510145746 A CN 201510145746A CN 104748796 A CN104748796 A CN 104748796A
- Authority
- CN
- China
- Prior art keywords
- cluster
- sensor
- node
- sensing
- host node
- 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
Links
Abstract
The invention provides a sensing method, a sensor and a sensor cluster. The method includes establishing a sensor cluster comprising a controller serving as a main node of the sensor cluster and sensors serving as auxiliary nodes of the sensor cluster; allowing the auxiliary nodes of the sensor cluster to transmit operation state parameters to the main node in real time, when the operation state parameters transmitted by the auxiliary nodes contain abnormal state representation values, receiving control parameters transmitted by the main node of the cluster, and adjusting the operation state according to the received control parameters. The operation states of the sensors can be acquired by the controller and can be adjusted timely.
Description
Technical field
The present invention relates to field of sensing technologies, particularly a kind of method for sensing, sensor and sensing cluster.
Background technology
Sensor is a kind of pick-up unit, be dispersed in the sensing region of specifying, measured information can be experienced as temperature, humidity, audio frequency, video, image, numerical value etc., and the information that can will experience, the information being for conversion into electric signal or other desired forms according to certain rules exports, to meet the requirements such as the transmission of information, process, storage, display, record and control.Each sensor is connected with controller and storage server by multi-hop relay mode, namely sensor is connected with controller and storage server by the router of multiple transfer or interpreter, wherein, controller to be configured sensor by the router of multiple transfer or interpreter and to manage.In the prior art, due to multi-hop relay mode, make controller can not the running status of each sensor of Real-time Obtaining.
Summary of the invention
The invention provides a kind of method for sensing, sensor and sensing cluster, the running status of each sensor can be obtained by controller in real time, operating condition sensor can be adjusted in time.
A kind of method for sensing, comprising: set up the sensing cluster comprising controller and each sensor, wherein, controller is host node in described sensing cluster, each sensor be each in described sensing cluster from node, also comprise:
Each in described sensing cluster sends respective running state parameter to host node in real time from node;
Described each from node when the running state parameter sent comprises abnormality characterization value, receive the controling parameters that the host node in cluster is sent, and according to this controling parameters adjust operation state received.
Preferably, the method comprises further:
Each each task agent sent from node reception host node in described sensing cluster, to perform each self-corresponding acquisition tasks respectively;
Each in described sensing cluster sends running state parameter respective acquisition tasks implementation to described host node in real time from node.
Preferably, the method comprises further: by multiple storage server composition storage cluster, described storage cluster comprises: primary storage server and each point of storage server;
Described each transmits to storage cluster the data gathered from the sensor that node is corresponding, stores data to trigger described storage cluster;
Described storage cluster stores data, comprising: the primary storage server in described storage cluster receives the described data that each transmits from the sensor that node is corresponding;
Arrange according to storage cluster, the described data that each transmits from the sensor that node is corresponding send to each target to divide storage server to carry out distributed storage with the form of configuration file by the primary storage server in described storage cluster;
Primary storage server selection in described storage cluster stores information.
Preferably, the method comprises further: described sensing cluster or storage cluster support Hadoop system;
Each in described sensing cluster sends respective running state parameter to host node in real time from node, comprising: each in described sensing cluster adopts the RPC heartbeat mechanism Hadoop system to send running state parameter to described host node from node;
Described storage cluster recovers obliterated data voluntarily by the back mechanism of described Hadoop system.
A kind of sensor, is arranged in described sensing cluster, as described sensing cluster from node, comprising:
Transmitting element, for sending running state parameter in real time to host node;
Adjustment unit, when the running state parameter for sending according to described transmitting element comprises abnormality characterization value, receives the controling parameters that the host node in cluster is sent, and according to this controling parameters adjust operation state received.
Preferably, this sensor comprises further: receiving element and performance element, wherein,
Described receiving element, for receiving the task agent that host node sends, triggers described performance element;
Described performance element, performs the acquisition tasks in the task agent of described host node transmission;
Described transmitting element, comprises further: for sending running state parameter in acquisition tasks implementation in real time to described host node.
Preferably, this sensor comprises further: delivery unit, for transmitting data to storage cluster, stores data to trigger described storage cluster.
Preferably, described transmitting element, is further used for adopting the RPC heartbeat mechanism in Hadoop system to send running state parameter to described host node.
A kind of sensing cluster, comprising: multiple above-mentioned sensor and controller;
Described controller, be arranged in described sensing cluster, as the host node in described sensing cluster, for receiving each the respective running state parameter sent in real time from the sensor that node is corresponding in described sensing cluster, according to described running status anomaly parameter, send corresponding controling parameters to sensor corresponding to described running status anomaly parameter, to trigger this sensor adjust operation state.
Preferably, described controller, be further used for: send task agent to each in described sensing cluster from the sensor that node is corresponding, with trigger described each from sensor corresponding to node, meanwhile, the described respective running state parameter that each sends from sensor Real-time Collection tasks carrying process corresponding to node is received;
Each sensor, is further used for the triggering receiving the controller transmission task agent that in described sensing cluster, host node is corresponding, performs each self-corresponding acquisition tasks respectively.
Embodiments provide a kind of method for sensing, sensor and sensing cluster, by setting up sensing cluster, and using each sensor as each in sensing cluster from node, controller is as the host node in sensing cluster, respective running state parameter is sent in real time to host node from node by each in sensing cluster, the running status of each sensor can be obtained by controller in real time, and operating condition sensor can be adjusted in time.
In addition, the running status of each sensor of controller Real-time Obtaining of the embodiment of the present invention, and controller sends task agent to each sensor, makes the method for sensing of the embodiment of the present invention more intelligent; And the embodiment of the present invention coordinates by the primary storage server in storage cluster and each point of storage server the data storing each sensor and transmit, thus effectively can improve the memory space of data, and by data backup mechanism, data can be recovered voluntarily.
Accompanying drawing explanation
Fig. 1 is the method for sensing process flow diagram that the embodiment of the present invention provides;
Fig. 2 is the method for sensing process flow diagram that another embodiment of the present invention provides;
Fig. 3 is the sensor place configuration diagram that the embodiment of the present invention provides;
Fig. 4 is the sensor construction schematic diagram that the embodiment of the present invention provides;
Fig. 5 is the sensor construction schematic diagram that another embodiment of the present invention provides;
Fig. 6 is the sensor construction schematic diagram that further embodiment of this invention provides;
Fig. 7 is the composition schematic diagram of the sensing cluster that the embodiment of the present invention provides.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is clearly and completely described.Obviously, described embodiment is only the present invention's part embodiment, instead of whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art, not making the every other embodiment obtained under creative work prerequisite, belong to the scope of protection of the invention.
As shown in Figure 1, embodiments provide a kind of method for sensing, the method can comprise the following steps:
Step 101: set up the sensing cluster comprising controller and each sensor, wherein, controller is host node in sensing cluster, each sensor is that each in sensing cluster is from node;
Step 102: each in sensing cluster sends respective running state parameter to host node in real time from node;
Step 103: each when the running state parameter sent comprises abnormality characterization value, receives the controling parameters that the host node in cluster is sent from node, and according to this controling parameters adjust operation state received.
In an embodiment of the invention, in order to strengthen in sensor each coordinating from node and host node further, make method for sensing more intelligent, after step 101, each each task agent sent from node reception host node in sensing cluster, to perform each self-corresponding acquisition tasks respectively, each in described sensing cluster sends running state parameter respective acquisition tasks implementation to described host node in real time from node.
In an embodiment of the invention, except above-mentioned sensing process, after each sensor collection, storer is also needed to store these image data.In order to the memory space of data effectively can be improved, and by data backup mechanism, data can be recovered voluntarily, the data that the embodiment of the present invention stores each sensor collection form storage cluster by multiple storage server, described storage cluster comprises: primary storage server and each point of storage server, the process that this storage cluster stores the data of each sensor collection for: each transmits to storage cluster the data gathered from the sensor that node is corresponding, each data transmitted from the sensor that node is corresponding are received with the primary storage server triggered in storage cluster, then arrange according to storage cluster, each data transmitted from the sensor that node is corresponding send to each target to divide storage server to carry out distributed storage with the form of configuration file by the primary storage server in storage cluster, primary storage server selection in storage cluster stores information.
In an embodiment of the invention, above-mentioned sensing cluster or storage cluster support Hadoop system.In Hadoop system operational process, it is that each sensing cluster adopts the RPC heartbeat mechanism Hadoop system to send running state parameter to described host node from node that each in sensing cluster sends respective running state parameter to the method for host node in real time from node; And storage cluster recovers obliterated data voluntarily by the back mechanism of Hadoop system, further enhancing the security of storage sensor image data.
In order to the storing process of the data that sensing process in Hadoop system of more specifically bright method for sensing and sensor gather, as shown in Figure 2, embodiments provide a kind of method for sensing, the method can comprise the following steps:
Step 200: by multiple storage server composition storage cluster, described storage cluster comprises: primary storage server and each point of storage server;
How effectively the analysis, inquiry etc. that will directly affect subsequent acquisition data to be stored on the data gathered.In the face of increasing field as environmental monitoring, traffic, military affairs etc. are more and more extensive to the application of sensor, the data grows that sensor gathers is many, and traditional storage mode cannot meet the storage of sensing data.In addition, conventional store mode does not back up sensor image data, and data are easily lost, and causes immeasurable loss.
Step 201: set up the sensing cluster comprising controller and each sensor, wherein, controller is host node in sensing cluster, each sensor is that each in sensing cluster is from node;
By setting up sensing cluster and can realize each sensor and controller being directly interactive, and without the need to through multi-hop relay mode, namely sensor by the router of multiple transfer or interpreter and controller interactive, effectively can improve the accuracy of controller and each sensor interaction like this.
Step 202: each each task agent sent from node reception host node in sensing cluster, to perform each self-corresponding acquisition tasks respectively, so, in acquisition tasks implementation, the transmission of running status performs step 203, and the transmission of image data then performs step 205;
Such as: when the task such as temperature, humidity of controller distribution image acquisition, environment, by this step orientable by image acquisition task matching to imageing sensor, the temperature acquisition task matching of environment to temperature sensor, humidity collection task matching to humidity sensor, when needs beginning task, controller sends start packet command to each sensor again, now, the temperature-humidity sensor that imageing sensor can start to gather image, temperature sensor can start to gather environment can start to gather ambient humidity etc.
The explanation of value be, in embodiments of the present invention, step 203 and 204 is the mutual processes of each sensor and controller, achieves the running status of each sensor of controller Real-time Obtaining, and adjusts sensor according to the exception table value indicative in running state parameter; The process of the data that step 205 gathers to step 208 for storage sensor.
Step 203: each in sensing cluster adopts the RPC heartbeat mechanism Hadoop system to send running state parameter respective in acquisition tasks implementation in real time to described host node from node;
Heartbeat mechanism is exactly that the simple information of party awarding the contract's timed sending and heartbeat packet tell packet receiving side that I also exists to packet receiving side.Such as some communication software does not use for a long time, wonder that its state is online or off-line just needs heartbeat packet, packet receiving of regularly giving out a contract for a project.Heartbeat packet why cry heartbeat packet be because: it sends out once every the set time as heartbeat, tells handbag side with this, and this party awarding the contract also lives.
In this step, send heartbeat packet and running status in real time to control end mainly through sensor, to make control end know the ruuning situation of sensor according to running state parameter, thus avoid information interaction and cause sensor-based system operation exception not in time.
Step 204: each when the running state parameter sent comprises abnormality characterization value, receives the controling parameters that the host node in cluster is sent from node, and according to this controling parameters adjust operation state received;
Sensor can be made to obtain real-time adjustment by this process, the data inaccuracy avoiding causing sensor to record or sensor abnormality out of service.Such as: when electric resistance sensor makes resistance cause too greatly error due to long-play, the resistance value that the operational factor that controller receives sensor transmission notes abnormalities, then control end can send controling parameters make this sensor by reset, make this sensor return to initial setting up, recover normal to make resistance value; When sensor causes operation to stop due to power failure, controller obtains this information immediately, and controller then by sending the emergency electric system of controling parameters start sensor, makes sensor work on etc.In addition, if run into the insurmountable sensor abnormality of controller, so, prompting staff is carried out artificial treatment by controller in time.
By the storage cluster that this step is set up, not only can realize data mass memory, and data can be made to have multiple backup.In storage cluster, if memory space is inadequate, realize the expansion of storage cluster memory space by increasing part storage server.
Step 205: each transmits to storage cluster the data gathered from the sensor that node is corresponding;
In sensor image data process, it sends the data collected to storage cluster by real-time.
Step 206 to step 208 is processes that storage cluster stores data below:
Step 206: the primary storage server in storage cluster receives each data transmitted from the sensor that node is corresponding;
Step 207: arrange according to storage cluster, each data transmitted from the sensor that node is corresponding send to each target to divide storage server to carry out distributed storage with the form of configuration file by the primary storage server in storage cluster;
Step 208: the primary storage server selection in storage cluster stores information.
Primary storage server is by location storage information, and when family data query, primary storage server accurately can locate point storage server storing these data, and it can be made accurately to obtain the data that will inquire about; When loss of data, by locating information, primary storage server can know which platform divides storage server to have backup file, recovered to make data.
As shown in Figure 3, Figure 4, a kind of sensor is embodiments provided.Device embodiment can pass through software simulating, also can be realized by the mode of hardware or software and hardware combining.Say from hardware view; as shown in Figure 3; for a kind of hardware structure diagram of the invention process ratio sensor place equipment; except the CPU shown in Fig. 3, internal memory, network interface and nonvolatile memory; in embodiment, the equipment at device place can also comprise other hardware usually, as supported chip of Hadoop system etc.For software simulating, as shown in Figure 4, as the device on a logical meaning, be by the CPU of its place equipment, computer program instructions corresponding in nonvolatile memory is read operation in internal memory to be formed.The sensor 40 that the present embodiment provides, is arranged in described sensing cluster, as described sensing cluster from node, comprising:
Transmitting element 401, for sending running state parameter in real time to host node;
Adjustment unit 402, when the running state parameter for sending according to described transmitting element 401 comprises abnormality characterization value, receives the controling parameters that the host node in cluster is sent, and according to this controling parameters adjust operation state received.
In an embodiment of the invention, as shown in Figure 5, sensor can comprise further: receiving element 501 and performance element 502, wherein,
Receiving element 501, for receiving the task agent that host node sends, triggers described performance element;
Performance element 502, performs the acquisition tasks in the task agent of described host node transmission;
Transmitting element, comprises further: for sending running state parameter in acquisition tasks implementation in real time to described host node.
In an embodiment of the invention, as shown in Figure 6, sensor comprises further:
Delivery unit 601, for for transmitting data to storage cluster, stores data to trigger described storage cluster.
One embodiment of the invention proposes a kind of sensing cluster, see Fig. 7, comprising: the sensor 701 that multiple above-mentioned any embodiment proposes and controller 702, wherein,
Controller 702, be arranged in described sensing cluster, as the host node in described sensing cluster, for receiving each the respective running state parameter sent in real time from the sensor 701 that node is corresponding in described sensing cluster, according to described running status anomaly parameter, send corresponding controling parameters to sensor 701 corresponding to described running status anomaly parameter, to trigger this sensor 701 adjust operation state.
In an embodiment of the invention, described controller 702, be further used for: send task agent to each in described sensing cluster from the sensor 701 that node is corresponding, with trigger described each from sensor 701 corresponding to node, meanwhile, the described respective running state parameter that each sends from sensor 701 Real-time Collection tasks carrying process corresponding to node is received;
Each sensor 701, is further used for receiving the triggering that described controller 702 sends task agent, performs each self-corresponding acquisition tasks respectively.
Each embodiment of the present invention at least has following beneficial effect:
1. by setting up sensing cluster, and using each sensor as each in sensing cluster from node, controller is as the host node in sensing cluster, respective running state parameter is sent in real time to host node from node by each in sensing cluster, the running status of each sensor can be obtained by controller in real time, and operating condition sensor can be adjusted in time.
2. the running status of each sensor of controller Real-time Obtaining, and controller sends task agent to each sensor, makes the method for sensing of the embodiment of the present invention more intelligent; And the embodiment of the present invention coordinates by the primary storage server in storage cluster and each point of storage server the data storing each sensor and transmit, thus effectively can improve the memory space of data, and by data backup mechanism, data can be recovered voluntarily.
It should be noted that, in this article, the relational terms of such as first and second and so on is only used for an entity or operation to separate with another entity or operational zone, and not necessarily requires or imply the relation that there is any this reality between these entities or operation or sequentially.And, term " comprises ", " comprising " or its any other variant are intended to contain comprising of nonexcludability, thus make to comprise the process of a series of key element, method, article or equipment and not only comprise those key elements, but also comprise other key elements clearly do not listed, or also comprise by the intrinsic key element of this process, method, article or equipment.When not more restrictions, the key element " being comprised " limited by statement, and be not precluded within process, method, article or the equipment comprising described key element and also there is other same factor.
The foregoing is only preferred embodiment of the present invention, not in order to limit the present invention, within the spirit and principles in the present invention all, any amendment made, equivalent replacement, improvement etc., all should be included within the scope of protection of the invention.
Claims (10)
1. a method for sensing, is characterized in that, sets up the sensing cluster comprising controller and each sensor, wherein, controller is host node in described sensing cluster, each sensor be each in described sensing cluster from node, also comprise:
Each in described sensing cluster sends respective running state parameter to host node in real time from node;
Described each from node when the running state parameter sent comprises abnormality characterization value, receive the controling parameters that the host node in cluster is sent, and according to this controling parameters adjust operation state received.
2. method according to claim 1, is characterized in that, comprise further:
Each each task agent sent from node reception host node in described sensing cluster, to perform each self-corresponding acquisition tasks respectively;
Each in described sensing cluster sends running state parameter respective acquisition tasks implementation to described host node in real time from node.
3. method according to claim 2, is characterized in that, comprise further: by multiple storage server composition storage cluster, described storage cluster comprises: primary storage server and each point of storage server;
Described each transmits to storage cluster the data gathered from the sensor that node is corresponding, stores data to trigger described storage cluster;
Described storage cluster stores data, comprising: the primary storage server in described storage cluster receives the described data that each transmits from the sensor that node is corresponding;
Arrange according to storage cluster, the described data that each transmits from the sensor that node is corresponding send to each target to divide storage server to carry out distributed storage with the form of configuration file by the primary storage server in described storage cluster;
Primary storage server selection in described storage cluster stores information.
4. the either method according to claims 1 to 3, is characterized in that,
Comprise further: described sensing cluster or storage cluster support Hadoop system;
Each in described sensing cluster sends respective running state parameter to host node in real time from node, comprising: each in described sensing cluster adopts the RPC heartbeat mechanism Hadoop system to send running state parameter to described host node from node;
Described storage cluster recovers obliterated data voluntarily by the back mechanism of described Hadoop system.
5. a sensor, is characterized in that, is arranged in described sensing cluster, as described sensing cluster from node, comprising:
Transmitting element, for sending running state parameter in real time to host node;
Adjustment unit, when the running state parameter for sending according to described transmitting element comprises abnormality characterization value, receives the controling parameters that the host node in cluster is sent, and according to this controling parameters adjust operation state received.
6. sensor according to claim 5, is characterized in that, comprise further: receiving element and performance element, wherein,
Described receiving element, for receiving the task agent that host node sends, triggers described performance element;
Described performance element, performs the acquisition tasks in the task agent of described host node transmission;
Described transmitting element, comprises further: for sending running state parameter in acquisition tasks implementation in real time to described host node.
7. sensor according to claim 6, is characterized in that, comprise further:
Delivery unit, for transmitting data to storage cluster, stores data to trigger described storage cluster.
8. according to any one sensor described in claim 5 to 7, it is characterized in that, described transmitting element, be further used for adopting the RPC heartbeat mechanism in Hadoop system to send running state parameter to described host node.
9. a sensing cluster, is characterized in that, comprising: arbitrary described sensor and controller in multiple claim 5 to 8;
Described controller, be arranged in described sensing cluster, as the host node in described sensing cluster, for receiving each the respective running state parameter sent in real time from the sensor that node is corresponding in described sensing cluster, according to described running status anomaly parameter, send corresponding controling parameters to sensor corresponding to described running status anomaly parameter, to trigger this sensor adjust operation state.
10. sensing cluster according to claim 9, is characterized in that,
Described controller, be further used for: send task agent to each in described sensing cluster from the sensor that node is corresponding, with trigger described each from sensor corresponding to node, meanwhile, the described respective running state parameter that each sends from sensor Real-time Collection tasks carrying process corresponding to node is received;
Each sensor, is further used for the triggering receiving the controller transmission task agent that in described sensing cluster, host node is corresponding, performs each self-corresponding acquisition tasks respectively.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510145746.6A CN104748796A (en) | 2015-03-30 | 2015-03-30 | Sensing method, sensor and sensor cluster |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510145746.6A CN104748796A (en) | 2015-03-30 | 2015-03-30 | Sensing method, sensor and sensor cluster |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN104748796A true CN104748796A (en) | 2015-07-01 |
Family
ID=53588827
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510145746.6A Pending CN104748796A (en) | 2015-03-30 | 2015-03-30 | Sensing method, sensor and sensor cluster |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN104748796A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111915452A (en) * | 2020-08-28 | 2020-11-10 | 平安国际智慧城市科技股份有限公司 | Monitoring system, method and device, monitoring processing equipment and storage medium |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102063486A (en) * | 2010-12-28 | 2011-05-18 | 东北大学 | Multi-dimensional data management-oriented cloud computing query processing method |
| CN102685221A (en) * | 2012-04-29 | 2012-09-19 | 华北电力大学（保定） | Distributed storage and parallel mining method for state monitoring data |
| CN103064742A (en) * | 2012-12-25 | 2013-04-24 | 中国科学院深圳先进技术研究院 | Automatic deployment system and method of hadoop cluster |
| CN103092698A (en) * | 2012-12-24 | 2013-05-08 | 中国科学院深圳先进技术研究院 | System and method of cloud computing application automatic deployment |
| CN103106249A (en) * | 2013-01-08 | 2013-05-15 | 华中科技大学 | Data parallel processing system based on Cassandra |
| CN103235817A (en) * | 2013-04-27 | 2013-08-07 | 电子科技大学 | Large-scale infection control data storage processing method |
| US20140297826A1 (en) * | 2013-04-01 | 2014-10-02 | Electronics And Telecommunications Research Institute | System and method for big data aggregation in sensor network |
| CN104331520A (en) * | 2014-11-28 | 2015-02-04 | 北京奇艺世纪科技有限公司 | Performance optimization method and device of Hadoop cluster and node state recognition method and device |
-
2015
- 2015-03-30 CN CN201510145746.6A patent/CN104748796A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102063486A (en) * | 2010-12-28 | 2011-05-18 | 东北大学 | Multi-dimensional data management-oriented cloud computing query processing method |
| CN102685221A (en) * | 2012-04-29 | 2012-09-19 | 华北电力大学（保定） | Distributed storage and parallel mining method for state monitoring data |
| CN103092698A (en) * | 2012-12-24 | 2013-05-08 | 中国科学院深圳先进技术研究院 | System and method of cloud computing application automatic deployment |
| CN103064742A (en) * | 2012-12-25 | 2013-04-24 | 中国科学院深圳先进技术研究院 | Automatic deployment system and method of hadoop cluster |
| CN103106249A (en) * | 2013-01-08 | 2013-05-15 | 华中科技大学 | Data parallel processing system based on Cassandra |
| US20140297826A1 (en) * | 2013-04-01 | 2014-10-02 | Electronics And Telecommunications Research Institute | System and method for big data aggregation in sensor network |
| CN103235817A (en) * | 2013-04-27 | 2013-08-07 | 电子科技大学 | Large-scale infection control data storage processing method |
| CN104331520A (en) * | 2014-11-28 | 2015-02-04 | 北京奇艺世纪科技有限公司 | Performance optimization method and device of Hadoop cluster and node state recognition method and device |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111915452A (en) * | 2020-08-28 | 2020-11-10 | 平安国际智慧城市科技股份有限公司 | Monitoring system, method and device, monitoring processing equipment and storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105117171B (en) | A kind of energy SCADA mass data distributed processing system(DPS) and its method | |
| CN104062446B (en) | A kind of aircaft configuration health monitoring integrated system and method | |
| CN106886366B (en) | Expander is used to store storage medium, the system and method for local area network management | |
| CN107404483A (en) | Data processing method, device and data collecting system | |
| CN103354562B (en) | Energy consumption collector, energy consumption collecting system and energy consumption collecting method | |
| CN204557187U (en) | A kind of IP network environmental monitoring system | |
| CN105141037B (en) | A kind of energy storage monitor system | |
| CN105843147A (en) | Smart agriculture monitoring and management system | |
| CN103312772A (en) | Data acquisition system applied to internet of things and corresponding device | |
| CN111200526B (en) | Monitoring system and method of network equipment | |
| CN107181639A (en) | The monitoring method and device of a kind of communications status | |
| CN106331047A (en) | Cluster equipment performance synchronization statistical method and system | |
| CN101335670A (en) | Wireless sensor network warehouse monitoring system and method on basis of ZigBee | |
| CN110048896A (en) | A kind of company-data acquisition methods, device and equipment | |
| CN106249727A (en) | A kind of management system of lithium battery pole slice assembly line | |
| CN102196465B (en) | The management method of a kind of wireless sensor network and system | |
| CN110224879A (en) | A kind of whole machine cabinet server and its node configuration method, device and CMC | |
| US10565224B2 (en) | Data provision apparatus and data provision method | |
| CN106790699A (en) | A kind of diesel engine cloud monitoring and cloud management system | |
| CN110850724A (en) | Control method for household appliance system | |
| CN109885118A (en) | Environmental control system | |
| CN104748796A (en) | Sensing method, sensor and sensor cluster | |
| CN207301688U (en) | A kind of long-range positioning system (Loran) based on LORA technologies | |
| CN109035052A (en) | A kind of livestock-raising information cloud management system Internet-based | |
| CN101808113A (en) | Concurrent monitoring system based on generalized networks and monitoring method thereof |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20150701 |
|
| WD01 | Invention patent application deemed withdrawn after publication |