CN108668251A - A kind of cabinet micro-environment intelligent monitor system - Google Patents
A kind of cabinet micro-environment intelligent monitor system Download PDFInfo
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- CN108668251A CN108668251A CN201810269898.0A CN201810269898A CN108668251A CN 108668251 A CN108668251 A CN 108668251A CN 201810269898 A CN201810269898 A CN 201810269898A CN 108668251 A CN108668251 A CN 108668251A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/30—Services specially adapted for particular environments, situations or purposes
- H04W4/38—Services specially adapted for particular environments, situations or purposes for collecting sensor information
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W40/00—Communication routing or communication path finding
- H04W40/02—Communication route or path selection, e.g. power-based or shortest path routing
- H04W40/04—Communication route or path selection, e.g. power-based or shortest path routing based on wireless node resources
- H04W40/10—Communication route or path selection, e.g. power-based or shortest path routing based on wireless node resources based on available power or energy
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W40/00—Communication routing or communication path finding
- H04W40/02—Communication route or path selection, e.g. power-based or shortest path routing
- H04W40/20—Communication route or path selection, e.g. power-based or shortest path routing based on geographic position or location
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- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Data Exchanges In Wide-Area Networks (AREA)
Abstract
The present invention provides a kind of cabinet micro-environment intelligent monitor systems, including back end power socket of machine cabinet, aggregation node and monitoring center, the back end power socket of machine cabinet is used to acquire cabinet micro-environment sensing data by the wireless sensor set in back end power socket of machine cabinet while distributing electricity for cabinet and distributes to each preferred routed path after dividing the cabinet micro-environment sensing data of acquisition according to sensible load ratio and is transmitted to the aggregation node；The aggregation node is established with multiple back end power socket of machine cabinet and is wirelessly connected, and the cabinet micro-environment sensing data of acquisition is received；It is connect with monitoring center by Ethernet, the cabinet micro-environment sensing data of the acquisition received is forwarded to the monitoring center by Ethernet；The monitoring center, is installed on user terminal, and the cabinet micro-environment sensing data for receiving the acquisition that the aggregation node forwarding comes analyzes the cabinet micro-environment sensing data of acquisition.
Description
Technical field
The present invention relates to cabinet micro-environments to monitor field, and in particular to a kind of cabinet micro-environment intelligent monitor system.
Background technology
Growth along with enterprise to information system requirement, computer, network technology have penetrated into the routine work of enterprise, it
Bringing huge economic benefit for enterprise.Computer supervisory control system is not influencing network operation efficiency and is changing existing net
Under conditions of network configuration, the management and control of macroscopic view can be carried out to the service condition of computer, can strictly be monitored and record office
All crawler behaviors of computer in the net of domain, it can record the mail of all transmitting-receivings of computer in LAN, browsing in real time
Webpage, monitoring and management net in user chat behavior, these activity conditions are sorted out and are recorded, with reach to calculate
Machine carries out the centralized supervisory of comprehensive high quality.Computer supervisory control system is very effective network supervision tool, can allow you
The resource utilization of your corporate computer user is understood at any time, and effectively allocating computer is united.Currently the majority computer
Monitoring system has the following problems：
(1) in large and medium-sized computer system, information technoloy equipment rack, type of business is more, and portfolio is big, information technoloy equipment high density
Change, heat dissipation capacity is big, but microenvironment is not included in Centralized Monitoring in cabinet；
(2) computer supervisory control system cannot effectively take into account cabinet micro-environment mainly for computer system macro environment；
(3) computer supervisory control system builds same period progress with computer system, needs construction to connect up, network is complicated, cost
It is high；
(4) computer supervisory control system is all based on " wired " technology, once building successfully, extension is dumb.
Invention content
In view of the above-mentioned problems, the present invention provides a kind of cabinet micro-environment intelligent monitor system.
The purpose of the present invention is realized using following technical scheme：
Provide a kind of cabinet micro-environment intelligent monitor system, including back end power socket of machine cabinet, aggregation node and
Monitoring center, wherein：
The back end power socket of machine cabinet, setting is in interior of equipment cabinet, for passing through while distributing electricity for cabinet
The wireless sensor acquisition cabinet micro-environment sensing data set in back end power socket of machine cabinet；By what is determined by aggregation node
The path that multiple preferred routed paths are transmitted as cabinet micro-environment sensing data determines that every the reasonable of preferred routed path is born
It carries, distributing to each preferred routed path after the cabinet micro-environment sensing data of acquisition is divided according to sensible load ratio passes
Transport to the aggregation node；
The aggregation node is arranged outside cabinet, wirelessly connects with multiple back end power socket of machine cabinet foundation
It connects, the wireless sensor network being made of the back end power socket of machine cabinet for being responsible for tissue, foundation, maintenance and control
Network, and receive the cabinet micro-environment sensing data of acquisition；It is connect with monitoring center by Ethernet, by the machine of the acquisition received
Cabinet microenvironment sensing data is forwarded to the monitoring center by Ethernet；
The monitoring center, is installed on user terminal, the cabinet micro-loop for receiving the acquisition that the aggregation node forwarding comes
Border sensing data analyzes the cabinet micro-environment sensing data of acquisition.
Preferably, monitoring center includes communication module, data analysis module and data memory module, communication module, data
Memory module is all connect with data analysis module.
Beneficial effects of the present invention are：Enough monitoring for effectively taking into account cabinet micro-environment, realization carry out microenvironment in cabinet
Centralized Monitoring；It can realize the transmitting of the reliable networking of multiple spot and data；Suitable for digital center, network computer room and letter
The environment such as breath center.
Description of the drawings
Using attached drawing, the invention will be further described, but the embodiment in attached drawing does not constitute any limit to the present invention
System, for those of ordinary skill in the art, without creative efforts, can also obtain according to the following drawings
Other attached drawings.
Fig. 1 is the structural schematic block diagram of an illustrative embodiment of the invention cabinet micro-environment intelligent monitor system；
Fig. 2 is the structural schematic block diagram of the monitoring center of an illustrative embodiment of the invention.
Reference numeral：
Back end power socket of machine cabinet 1, aggregation node 2, monitoring center 3, communication module 10, data analysis module 20,
Data memory module 30.
Specific implementation mode
The invention will be further described with the following Examples.
Referring to Fig. 1, cabinet micro-environment intelligent monitor system provided in this embodiment, including back end power socket of machine cabinet
1, aggregation node 2 and monitoring center 3, wherein：
Back end power socket of machine cabinet 1, setting is in interior of equipment cabinet, for passing through data while distributing electricity for cabinet
The wireless sensor acquisition cabinet micro-environment sensing data set in node power socket of machine cabinet 1；It is more by being determined by aggregation node 2
The path that a preferred routed path is transmitted as cabinet micro-environment sensing data determines that every the reasonable of preferred routed path is born
It carries, distributing to each preferred routed path after the cabinet micro-environment sensing data of acquisition is divided according to sensible load ratio passes
Transport to the aggregation node 2；
Aggregation node 2 is arranged outside cabinet, establishes and is wirelessly connected with multiple back end power socket of machine cabinet 1,
The wireless sensor network being made of the back end power socket of machine cabinet 1 for being responsible for tissue, foundation, maintenance and control,
And receive the cabinet micro-environment sensing data of acquisition；It is connect with monitoring center 3 by Ethernet, by the cabinet of the acquisition received
Microenvironment sensing data is forwarded to the monitoring center 3 by Ethernet；
Monitoring center 3, is installed on user terminal, the cabinet micro-environment for receiving the acquisition that the forwarding of the aggregation node 2 comes
Sensing data analyzes the cabinet micro-environment sensing data of acquisition.
Wherein, cabinet micro-environment sensing data includes the supply voltage, electric current, temperature and humidity information of cabinet micro-environment.
In one embodiment, as shown in Fig. 2, monitoring center 3 includes communication module 10, data analysis module 20 and data
Memory module 30, communication module 10, data memory module 30 are all connect with data analysis module 20.
The above embodiment of the present invention can effectively take into account the monitoring of cabinet micro-environment, and realization collects microenvironment in cabinet
Middle monitoring；It can realize the transmitting of the reliable networking of multiple spot and data；Suitable for digital center, network computer room and information
The environment such as center；Cabinet micro-environment sensing data is diverted in a plurality of routed path and is carried out at the same time transmission, can be effectively improved
The efficiency of cabinet micro-environment sensing data transmission.
In one embodiment, aggregation node 2 is specifically held in the multiple preferred routed paths for determining sensor node
Row：
(1) aggregation node 2 obtains each sensor node to remittance in the netinit stage to Web broadcast initialization information
The minimum hop count of poly- node 2, multiple path detection packets that receiving sensor node is sent, if the sensor of originating path detection packet
Node is source node, a plurality of routed path for obtaining source node to aggregation node 2 is wrapped by processing path detection, wherein each road
Diameter detection packet carries the essential information of a routed path, and the essential information includes the sensing for including in the routed path
Device node, link-state information and bandwidth requirement information, the sensor node are to be responsible for forwarding cabinet micro-environment to sense number
According to sensor node；
(2) routed path for being unsatisfactory for following path screening conditions is rejected, need is estimated according to the bandwidth demand of source node
The routed path number K wanted will be by remaining routing road according to cluster result to remaining routed path is carried out K mean cluster
Diameter is divided into K population：
Y[Q(b)-Qmin]+Y[Cmax- C (b)]=2
In formula, Q (b) is the dump energy of the sensor node of dump energy minimum in routed path b, QminIt is to meet
Network service quality requires and the energy lower limit of setting, and C (b) is the overall delay of routed path b, CmaxIt is to meet network service
Quality requirement and the delay upper bound set, Y [Q (b)-Qmin]、Y[Cmax- C (b)] it is all the judgement value function of setting, and expire
Foot：As Q (b)-QminWhen >=0, Y [Q (b)-Qmin]=1, as Q (b)-Qmin<When 0, Y [Q (b)-Qmin]=0, works as Cmax-C(b)≥0
When, Y [Cmax- C (b)]=1, work as Cmax-C(b)<When 0, Y [Cmax- C (b)]=0；
(3) it uses particle swarm optimization algorithm to carry out path optimization successively each population, obtains the preferred routing of each population
Path；
(4) corresponding preferred routed path information is sent to source node along every preferred routed path and updates source node
Routing table, and then source node obtains multiple preferred routed paths.
The present embodiment sets the selection mechanism in multirouting path, and aggregation node 2 determines sensing according to the selection mechanism
Multiple preferred routed paths of device node, can efficiently reduce the burden of sensor node.Wherein, the present embodiment will gather in determination
When the routed path of class, path screening conditions are innovatively set, the routed path of path screening conditions will be unsatisfactory in advance
It is rejected, the speed of routed path determination can be effectively improved, reduce the complexity of particle search, subsequently to use particle
Colony optimization algorithm carries out path optimization and lays a good foundation.
In above-mentioned implementation, aggregation node 2 often receives a path detection packet of source node transmission, then obtains a routing
Path.Wherein, path detection packet from source node to aggregation node 2 process, specifically include：Source node is visited to Web broadcast path
Packet is surveyed, the sensor node for receiving path detection packet determines whether the sensor node number for including in path detection packet is more than pre-
If number threshold value, when more than when give up the path detection packet, when being not above by the ID of itself, current remaining and
One hop link information between upper hop sensor node is added in the path detection packet of reception, forms new path detection
Packet, and a neighbor node is randomly choosed as next-hop node, which is sent to next-hop node, directly
Aggregation node 2 is reached to path detection packet.Wherein, neighbor node refers to other biographies being located in sensor node communication range
Sensor node.
The present embodiment devises the specific mechanism from sensor node to 2 transmitting path of aggregation node detection packet, the mechanism
It is simple and efficient, all-sidedly and accurately the relevant information for wrapping the routed path passed through can be detected by acquisition approach, wherein in path detection
The sensor node ID number for including in packet gives up path detection packet when being more than preset number threshold value, can prevent shape
At long routed path, by way of randomly choosing neighbor node, it can be ensured that the routed path of detection is random.It is logical
It crosses above-mentioned mechanism and obtains routed path, the routed path got can be made to meet real-time demand, improve cabinet micro-environment and pass
Feel the efficiency of data acquisition, ensures the stability of cabinet micro-environment intelligent monitor system operation.
In one embodiment, the particle swarm optimization algorithm is improved particle swarm optimization algorithm, is used to population
The improved particle swarm optimization algorithm carries out path optimization, specifically includes：
(1) it using the routed path in population as particle, and is stored in stack architecture, each stores in sequence
Routed path assigns a pointer, and pointer continuous layout in sequence, extracts pointer value corresponding with storehouse and becomes as an optimization
Amount, wherein pointer value includes the dump energy and primary power of the sensor node of dump energy minimum, total chain in routed path
The sensor node number that road expense and path include；
(2) parameter for initializing particle cluster algorithm, the position and speed of each particle in random initializtion population；
(3) fitness value that each particle is calculated according to fitness function preserves the optimal location of each particle, preserves kind
The optimal adaptation angle value and population desired positions of all particles, update according to speed more new formula, location update formula in group
The speed of particle and position；
(4) fitness value of each particle after updating is calculated, the optimal adaptation angle value of each particle and its history is optimal
Fitness value when position compares, if preferably, using its current position as the optimal location of the particle；
(5) to each particle, the corresponding fitness value of its optimal location and population optimal adaptation angle value are compared, if
It is more excellent, then the global optimum position of Population Regeneration and optimal adaptation angle value；
(6) judge whether the result searched reaches the maximum iteration of setting, export optimal value if meeting, otherwise
It goes to (3) and continues to execute maximum iteration until reaching setting；
(7) routed path in storehouse corresponding to optimal value is extracted as preferred routed path.
The present embodiment improves particle swarm optimization algorithm, and the section of storehouse and pointer is introduced in existing particle cluster algorithm
Learn concept, storehouse is a kind of structure for arranging column storage in sequence, the characteristics of this structure be only be inserted into stack top or
Delete data.Pass through the introducing of storehouse and pointer so that the search speed of improved particle swarm optimization algorithm is faster, more applicable
In the optimization of routed path, and local optimum will not be absorbed in.
Wherein, set fitness function as：
In formula, P (b) indicates that the fitness value of routed path b, Q (b) are the sensing of dump energy minimum in routed path b
The dump energy of device node, Q (b)0For the primary power of the sensor node of dump energy minimum, E (b) is routed path b
Total link expense, F (b) is the routed path b sensor node numbers that include, and F be the sensor node number disposed, Qmin
It is to meet the energy lower limit that network service quality requirement is set, EmaxTo meet the chain that network service quality requirement is set
The road expense upper limit；a1、a2、a3For the weighted value of setting.
The present embodiment is when designing fitness function, it is contemplated that current remaining, the total link expense of sensor node
And number of nodes, the multiple preferred routed paths enabled to have higher routing success rate and cabinet micro-environment sensing
Data transmission rate.
In one embodiment, the speed of particle more new formula is improved, specially：
Wherein
In formula, Si(t+1) indicate particle i in the speed at t+1 moment, Si(t) indicate particle i in the speed of t moment, Zi(t)
It is particle i in the position of t moment, WibestFor the history optimal location of particle i, WgbestThe overall situation of population where indicating particle i is most
Excellent position, Wgbest(j) the global optimum position of j-th of population, wherein j=1 ..., K, α are indicated1、α2、α3It is all aceleration pulse,
β1、β2、β3It is all the equally distributed random number in section [0,1], x (t) is inertia weight, xmaxIt is maximum for the weight of setting
Value, xminFor the weight minimum value of setting, tmaxFor the time threshold of setting.
Wherein, location update formula is：
Zi(t+1)=Zi(t)+Si(t+1)
In formula, Zi(t+1) indicate particle i in the position at t+1 moment.
The present embodiment improves the more new formula of the speed in particle swarm optimization algorithm.In existing particle cluster algorithm
Speed more new formula in, inertia weight is set as fixed value, is searched since inertia weight directly influences particle global and local
Inertia weight is directly set as the raising that fixed value is unfavorable for particle global and local search capability by the distribution of Suo Nengli.This reality
The coefficient that inertia weight is defined as time change by example is applied, to be set as higher value in algorithm initial stage inertia weight so that
Particle search range bigger, and it is set as smaller value in later stage inertia weight so that algorithm can restrain, and improve the overall situation of algorithm
And local search ability.
The present embodiment considers the intersection of each population global optimum position on the other hand, enables the particle of different population
It flies to different directions, avoids intersecting, to reduce the probability of population particle intersection, ensure arbitrary two preferred routings
Common sensor node is not present between path, it is good to be established for the transmission of subsequent cabinet micro-environment sensing data
Basis.
Finally it should be noted that the above embodiments are merely illustrative of the technical solutions of the present invention, rather than the present invention is protected
The limitation of range is protected, although being explained in detail to the present invention with reference to preferred embodiment, those skilled in the art answer
Work as understanding, technical scheme of the present invention can be modified or replaced equivalently, without departing from the reality of technical solution of the present invention
Matter and range.
Claims (6)
1. a kind of cabinet micro-environment intelligent monitor system, characterized in that including back end power socket of machine cabinet, aggregation node and
Monitoring center, wherein：
The back end power socket of machine cabinet, setting is in interior of equipment cabinet, for passing through data while distributing electricity for cabinet
The wireless sensor acquisition cabinet micro-environment sensing data set in node power socket of machine cabinet；It is multiple by being determined by aggregation node
It is preferred that the path that routed path is transmitted as cabinet micro-environment sensing data, determines the sensible load of every preferred routed path,
Each preferred routed path is distributed to after the cabinet micro-environment sensing data of acquisition is divided according to sensible load ratio to be transmitted
To the aggregation node；
The aggregation node is arranged outside cabinet, establishes and is wirelessly connected with multiple back end power socket of machine cabinet, uses
In the wireless sensor network that responsible tissue, foundation, maintenance and control are made of the back end power socket of machine cabinet, and connect
Receive the cabinet micro-environment sensing data of acquisition；It is connect with monitoring center by Ethernet, by the cabinet micro-loop of the acquisition received
Border sensing data is forwarded to the monitoring center by Ethernet；
The monitoring center, is installed on user terminal, and the cabinet micro-environment for receiving the acquisition that the aggregation node forwarding comes passes
Feel data, the cabinet micro-environment sensing data of acquisition is analyzed.
2. a kind of cabinet micro-environment intelligent monitor system according to claim 1, characterized in that monitoring center's packet
Communication module, data analysis module and data memory module are included, communication module, data memory module all connect with data analysis module
It connects.
3. a kind of cabinet micro-environment intelligent monitor system according to claim 1, characterized in that cabinet micro-environment senses number
According to the supply voltage including cabinet micro-environment, electric current, temperature and humidity information.
4. according to a kind of cabinet micro-environment intelligent monitor system of claim 1-3 any one of them, characterized in that aggregation node
It is specific to execute in the multiple preferred routed paths for determining sensor node：
(1) aggregation node obtains each sensor node and is saved to convergence in the netinit stage to Web broadcast initialization information
The minimum hop count of point, multiple path detection packets that receiving sensor node is sent, if the sensor node of originating path detection packet
For source node, a plurality of routed path for obtaining source node to aggregation node is wrapped by processing path detection, wherein each path is visited
The essential information that packet carries a routed path is surveyed, the essential information includes the sensor section for including in the routed path
Point, link-state information and bandwidth requirement information, the sensor node are to be responsible for forwarding cabinet micro-environment sensing data
Sensor node；
(2) routed path for being unsatisfactory for following path screening conditions is rejected, is needed according to the estimation of the bandwidth demand of source node
Routed path number K will be by remaining routed path point according to cluster result to remaining routed path is carried out K mean cluster
At K population：
Y[Q(b)-Qmin]+Y[Cmax- C (b)]=2
In formula, Q (b) is the dump energy of the sensor node of dump energy minimum in routed path b, QminIt is to meet network
Quality of service requirement and the energy lower limit set, C (b) are the overall delay of routed path b, CmaxIt is to meet network service quality
It is required that and the delay upper bound of setting, Y [Q (b)-Qmin]、Y[Cmax- C (b)] it is all the judgement value function of setting, and meet：Work as Q
(b)-QminWhen >=0, Y [Q (b)-Qmin]=1, as Q (b)-Qmin<When 0, Y [Q (b)-Qmin]=0, works as CmaxWhen-C (b) >=0, Y
[Cmax- C (b)]=1, work as Cmax-C(b)<When 0, Y [Cmax- C (b)]=0；
(3) it uses particle swarm optimization algorithm to carry out path optimization successively each population, obtains the preferred routed path of each population；
(4) corresponding preferred routed path information is sent to source node along every preferred routed path and updates the road of source node
By table, and then source node obtains multiple preferred routed paths.
5. a kind of cabinet micro-environment intelligent monitor system according to claim 4, characterized in that aggregation node often receives
The path detection packet that source node is sent, then obtain a routed path.
6. a kind of cabinet micro-environment intelligent monitor system according to claim 5, characterized in that path detection packet is saved from source
Point is specifically included to the process of aggregation node：Source node receives the sensor of path detection packet to Web broadcast path detection packet
Node determine include in path detection packet sensor node number whether be more than preset number threshold value, when more than when give up this
Path detection packet, when being not above by the ID of itself, current remaining and the single-hop between upper hop sensor node
Link information is added in the path detection packet of reception, forms new path detection packet, and is randomly choosed a neighbor node and made
For next-hop node, which is sent to next-hop node, until path detection packet reaches aggregation node.
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Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101604258A (en) * | 2009-07-10 | 2009-12-16 | 杭州电子科技大学 | A kind of method for scheduling task of embedded heterogeneous multiprocessor system |
| CN101707540A (en) * | 2009-10-29 | 2010-05-12 | 北京突破电气有限公司 | Zigbee wireless sensor network based system and method for monitoring microenvironment of cabinet |
| CN102264114A (en) * | 2011-08-12 | 2011-11-30 | 重庆邮电大学 | ZigBee sensor network tree route low-expense optimization method |
| CN102413538A (en) * | 2011-12-02 | 2012-04-11 | 上海交通大学 | Route improving method based on AODV (ad hoc on-demand distance vector) and considering delay energy saving |
| CN102917441A (en) * | 2012-09-29 | 2013-02-06 | 北京邮电大学 | Target network selection method on basis of particle swarm algorithm for multi-mode terminals |
| CN103778482A (en) * | 2014-02-12 | 2014-05-07 | 中国农业大学 | Aquaculture dissolved oxygen short-term prediction method based on multi-scale analysis |
| CN104897992A (en) * | 2015-06-08 | 2015-09-09 | 湖南城市学院 | Distributed power supply disturbance classification device and on-line detection method thereof |
| CN105101090A (en) * | 2015-08-26 | 2015-11-25 | 南京邮电大学 | Node positioning method of wireless sensor network for environmental monitoring |
| CN106992932A (en) * | 2017-05-10 | 2017-07-28 | 天津大学 | A kind of underwater acoustic network method for routing foundation of energy consumption balance |
| CN107182074A (en) * | 2017-06-16 | 2017-09-19 | 大连大学 | A kind of route optimal path choosing method based on Zigbee |
| CN107340017A (en) * | 2017-06-28 | 2017-11-10 | 深圳源广安智能科技有限公司 | Aerial power transmission line on-line monitoring system |
| CN107589663A (en) * | 2017-08-16 | 2018-01-16 | 西安电子科技大学 | Unmanned plane coordinated investigation covering method based on multistep particle cluster algorithm |
-
2018
- 2018-03-29 CN CN201810269898.0A patent/CN108668251A/en active Pending
Patent Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101604258A (en) * | 2009-07-10 | 2009-12-16 | 杭州电子科技大学 | A kind of method for scheduling task of embedded heterogeneous multiprocessor system |
| CN101707540A (en) * | 2009-10-29 | 2010-05-12 | 北京突破电气有限公司 | Zigbee wireless sensor network based system and method for monitoring microenvironment of cabinet |
| CN102264114A (en) * | 2011-08-12 | 2011-11-30 | 重庆邮电大学 | ZigBee sensor network tree route low-expense optimization method |
| CN102413538A (en) * | 2011-12-02 | 2012-04-11 | 上海交通大学 | Route improving method based on AODV (ad hoc on-demand distance vector) and considering delay energy saving |
| CN102917441A (en) * | 2012-09-29 | 2013-02-06 | 北京邮电大学 | Target network selection method on basis of particle swarm algorithm for multi-mode terminals |
| CN103778482A (en) * | 2014-02-12 | 2014-05-07 | 中国农业大学 | Aquaculture dissolved oxygen short-term prediction method based on multi-scale analysis |
| CN104897992A (en) * | 2015-06-08 | 2015-09-09 | 湖南城市学院 | Distributed power supply disturbance classification device and on-line detection method thereof |
| CN105101090A (en) * | 2015-08-26 | 2015-11-25 | 南京邮电大学 | Node positioning method of wireless sensor network for environmental monitoring |
| CN106992932A (en) * | 2017-05-10 | 2017-07-28 | 天津大学 | A kind of underwater acoustic network method for routing foundation of energy consumption balance |
| CN107182074A (en) * | 2017-06-16 | 2017-09-19 | 大连大学 | A kind of route optimal path choosing method based on Zigbee |
| CN107340017A (en) * | 2017-06-28 | 2017-11-10 | 深圳源广安智能科技有限公司 | Aerial power transmission line on-line monitoring system |
| CN107589663A (en) * | 2017-08-16 | 2018-01-16 | 西安电子科技大学 | Unmanned plane coordinated investigation covering method based on multistep particle cluster algorithm |
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