CN107300428A - A kind of automatic continuous measuring system of rotary spherical digester temperature based on internet-based control - Google Patents
A kind of automatic continuous measuring system of rotary spherical digester temperature based on internet-based control Download PDFInfo
- Publication number
- CN107300428A CN107300428A CN201710505191.0A CN201710505191A CN107300428A CN 107300428 A CN107300428 A CN 107300428A CN 201710505191 A CN201710505191 A CN 201710505191A CN 107300428 A CN107300428 A CN 107300428A
- Authority
- CN
- China
- Prior art keywords
- mrow
- msub
- node
- data
- temperature
- 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
- 230000005540 biological transmission Effects 0.000 claims abstract description 58
- 238000000034 method Methods 0.000 claims abstract description 46
- 241000854291 Dianthus carthusianorum Species 0.000 claims description 27
- 238000005265 energy consumption Methods 0.000 claims description 18
- 125000004122 cyclic group Chemical group 0.000 claims description 15
- 230000008569 process Effects 0.000 claims description 14
- 238000001514 detection method Methods 0.000 claims description 13
- 238000001228 spectrum Methods 0.000 claims description 12
- 238000004364 calculation method Methods 0.000 claims description 9
- 238000012544 monitoring process Methods 0.000 claims description 9
- 230000011664 signaling Effects 0.000 claims description 7
- 238000004891 communication Methods 0.000 claims description 6
- 238000012790 confirmation Methods 0.000 claims description 6
- 239000011159 matrix material Substances 0.000 claims description 6
- 230000003595 spectral effect Effects 0.000 claims description 6
- 238000005259 measurement Methods 0.000 claims description 4
- 230000009897 systematic effect Effects 0.000 claims description 3
- 230000009466 transformation Effects 0.000 claims description 3
- 230000002776 aggregation Effects 0.000 claims 1
- 238000004220 aggregation Methods 0.000 claims 1
- 238000005516 engineering process Methods 0.000 abstract description 8
- 230000005684 electric field Effects 0.000 abstract description 2
- 230000029087 digestion Effects 0.000 description 8
- 229920005610 lignin Polymers 0.000 description 6
- 238000012546 transfer Methods 0.000 description 5
- 229920001131 Pulp (paper) Polymers 0.000 description 4
- 238000006243 chemical reaction Methods 0.000 description 4
- 229920002488 Hemicellulose Polymers 0.000 description 3
- 238000009835 boiling Methods 0.000 description 3
- 229920002678 cellulose Polymers 0.000 description 3
- 239000001913 cellulose Substances 0.000 description 3
- 238000001914 filtration Methods 0.000 description 3
- 239000002994 raw material Substances 0.000 description 3
- 230000001105 regulatory effect Effects 0.000 description 3
- 230000004044 response Effects 0.000 description 3
- 102100035971 Molybdopterin molybdenumtransferase Human genes 0.000 description 2
- 101710119577 Molybdopterin molybdenumtransferase Proteins 0.000 description 2
- 239000003513 alkali Substances 0.000 description 2
- 230000008878 coupling Effects 0.000 description 2
- 238000010168 coupling process Methods 0.000 description 2
- 238000005859 coupling reaction Methods 0.000 description 2
- 238000011161 development Methods 0.000 description 2
- 239000003814 drug Substances 0.000 description 2
- 230000003993 interaction Effects 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- 241000196324 Embryophyta Species 0.000 description 1
- 230000009471 action Effects 0.000 description 1
- 230000008901 benefit Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 239000013043 chemical agent Substances 0.000 description 1
- 239000003795 chemical substances by application Substances 0.000 description 1
- 238000009792 diffusion process Methods 0.000 description 1
- 230000005611 electricity Effects 0.000 description 1
- 239000000686 essence Substances 0.000 description 1
- 239000002657 fibrous material Substances 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 239000007788 liquid Substances 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 238000004537 pulping Methods 0.000 description 1
- 239000011347 resin Substances 0.000 description 1
- 229920005989 resin Polymers 0.000 description 1
- 238000005096 rolling process Methods 0.000 description 1
- 239000002002 slurry Substances 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 150000003467 sulfuric acid derivatives Chemical class 0.000 description 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01K—MEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
- G01K13/00—Thermometers specially adapted for specific purposes
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
- H04L67/125—Protocols 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
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- Computing Systems (AREA)
- General Health & Medical Sciences (AREA)
- Medical Informatics (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Arrangements For Transmission Of Measured Signals (AREA)
Abstract
The present invention relates to electric field, and in particular to a kind of automatic continuous measuring system of rotary spherical digester temperature based on internet-based control, including：Temperature power-adjustable source, wireless electric energy transmission device, load, temperature regulation controller；Temperature power-adjustable source sends a signal to wireless electric energy transmission device；Wireless electric energy transmission device includes radio energy reception device, radio energy emitter and output voltage regulator；Wireless electric energy transmission device is connected by wire with load；Wireless power transmission reception device sends infrared signal to temperature controller etc..The present invention has a clear superiority, and solving other technologies method power output can only be adjusted in a small range, and system is when much off-resonance temperature, the problem of control method is ineffective.
Description
Technical field
The present invention relates to electric field, and in particular to a kind of rotary spherical digester temperature based on internet-based control, which is automatically continuously measured, is
System.
Background technology
In pulping digestion process using alkalescence or Sulfates chemical agent, according to different type paper pulp the need for, to the greatest extent
The lignin in plant fiber material may be removed, and retains cellulose and hemicellulose as far as possible, and makes frotation into slurry.In medicine
While agent and raw material react, the lignin in raw material is not only removed, and resin, wax, the fat in raw material etc. is saponified and miscellaneous
Cell is also removed therewith, while inevitably with the degraded of cellulose, hemicellulose.The reaction of digestion process as can be seen here
Mechanism, key is the objective law for grasping digestion process exactly, reasonably formulates process conditions and in strict accordance with Process Planning
Cheng Jinhang is operated, can effectively dissolved lignin, and protection cellulose and hemicellulose to greatest extent, acquisition height to reach
The paper pulp of intensity, high yield pulp1.
In actual production, the maximum factor of influence pulp quality, paper pulp yield is digestion time, boiling temperature and had
Imitate alkali concn.Due to participating in the complexity of the material (particularly lignin) of reflection in chemistry, and in digestion process Chinese medicine liquid
The continuous change of composition, lignin shows three different duration of response, each duration of response have respective speed law and
Stoichiometry.Three phases are：The delignification stage at initial stage：Delignification speed is mainly by diffusion rather than chemical action branch
Match somebody with somebody；The bulk delignification stage：Chemical reaction is occupied an leading position：The residual delignification stage：Removing is remaining or hardly possible removes lignin.
In order to stably control pulp quality, preferable Kappa number, the effective alkali measured in the bulk delignification stage are obtained
Concentration is used as mode input.Upright steamer or rotary spherical digester are when the controlled variable of digestion process is boiling temperature and boiling terminates
Between, i.e., digestion process is stated by the H factors, stabilized it in setting value level.PREDICTIVE CONTROL is to produce in the later stage seventies
One class novel computer control algolithm, this kind of algorithm is elapsed using the step of object or impulse response as model using rolling optimization
To mode optimal control is realized to process online, show good control performance in complicated industrial process.Karr
Graceful filtering is a kind of using linear system state equation, by system input and output observation data, system mode is carried out optimal
The algorithm of estimation.Because observation data include the noise in system and the influence of interference, so optimal estimation is also considered as
Filtering.Control system stably controls the temperature curve of digestion process using PREDICTIVE CONTROL and Kalman filtering, obtains
The more accurate H factors so that the Kappa number that paper pulp is finally predicted is also more accurate.
Current maximum power control method is entered based on resonance coupling radio energy transmission system off resonance problem
Row control, for example with phaselocked loop (PLL) technology, also have and the temperature division of radio energy transmission system in itself is coupled to resonance
What phenomenon was controlled.Control method based on phaselocked loop (PLL) technology power output can only be adjusted in a small range,
System is when much off-resonance temperature, and control method is ineffective.
The accurate measurement of rotary spherical digester temperature is very crucial to slurrying.
In summary, problems of the prior art are：In a wide range of, it is impossible to realize radio energy transmission system
Maximum power transfer, control method is ineffective；Temperature error can not be obviously reduced in prior art, it is impossible to effectively improve process
The control accuracy of system.
The content of the invention
The problem of existing for prior art, it is automatic continuous that the present invention provides a kind of rotary spherical digester temperature based on internet-based control
Measuring system.
The present invention is achieved in that a kind of automatic continuous measuring system of rotary spherical digester temperature based on internet-based control, described
The automatic continuous measuring system of rotary spherical digester temperature based on internet-based control includes：Temperature power-adjustable source, wireless electric energy transmission device,
Load, temperature regulation controller；Temperature power-adjustable source sends a signal to wireless electric energy transmission device；
The wireless electric energy transmission device includes radio energy reception device, radio energy emitter and output voltage and adjusted
Regulating device；The wireless electric energy transmission device is connected by wire with load；
The wireless power transmission reception device sends infrared signal to temperature controller；
The signal that the temperature controller feeds back according to wireless power transmission reception device obtains wireless power transmission reception
The position signalling of device, so as to carry out temperature adjustment according to the relation pair temperature power-adjustable source of control temperature and transmission range；
The temperature controller is provided with wireless sensor network module；The data aggregate side of wireless sensor network module
Method includes：
Step 1: deployment wireless senser：In the detection zone that area is S=W × L, wireless senser is deployed in
Detection zone；The wireless senser measurement model is as follows：
YA(tk-1)、YA(tk)、YA(tk+1) be respectively temperature sensor A to target in tk-1,tk,tk+1The local flute card at moment
Measuring value under your coordinate system, be respectively：
Wherein, Y'A(tk-1)、Y'A(tk)、Y'A(tk+1) it is respectively temperature sensor A in tk-1,tk,tk+1The local flute at moment
Actual position under karr coordinate system；CA(t) it is the transformation matrix of error；ξA(t) it is the systematic error of temperature sensor；
For system noise, it is assumed thatFor zero-mean, separate Gaussian stochastic variable, noise covariance
Matrix is respectively RA(k-1)、RA(k)、RA(k+1)；
Step 2: selection cluster head：Whole detection zone is evenly dividing by grid, makes the size shape of each grid
Identical, the sensor node for selecting positional distance grid element center nearest in each grid is used as cluster head；
Step 3: sub-clustering：After the completion of cluster head selection, cluster head broadcast Cluster { ID, N, Hop } information, wherein, ID is section
The numbering of point, the hop count that N forwards for Cluster information, and N initial value are the hop count that 0, Hop is default；It is attached in cluster head
Near neighbor node receives N increases by 1 after Cluster information and forwards this information again, until N=Hop just no longer forwards Cluster
Information；Again to Cluster information to be transmitted to the neighbor node of oneself after the neighbor node forwarding Cluster information of cluster head, so
Feedback information Join { ID, N, an E are sent afterwardsir, dij, kiTo Cluster information to be transmitted to the node of oneself, most at last
Join information is transmitted to cluster head and represents oneself to add the cluster, wherein, EirRepresent the dump energy of the node now, dijRepresent two
Distance between node, kiRepresent that the node can monitor the size of obtained packet；If a node have received multiple
Cluster information, node just selects the N values small addition cluster, if the equal nodes of N just at will select a cluster and are added to this
Cluster；If node does not receive Cluster information, node sends Help information, adds a cluster nearest from oneself；
Step 4: cluster interior nodes constitute simple graph model：By step 3 obtain all nodes in cluster in cluster it is residing
Position, each node is regarded and is connected between a summit of figure, each two adjacent node with side；
Step 5: in cluster weights calculating：By the step 3, cluster head obtains the E of member node in clusterir、dijAnd ki,
The weights between two adjacent sections point i, j are calculated, the calculation formula of weights is：
Wij=a1(Eir+Ejr)+a2dij+a3(ki+kj)；
Wherein, Ejr、kjThe size for the data that node j dump energy and node j can be monitored, and a are represented respectively1+a2
+a3=1, such system just can be according to system to Eir、dijOr kiRequired proportion difference adjustment aiValue and be met
The weights that difference needs；
The temperature power-adjustable source is built-in with power monitoring module, and the power monitoring module passes through wireless network and temperature
Spend controller connection；Power monitoring module is used to receive signal s (t) broad sense second-order cyclic cumulantsEnter as follows
OK：
Receive signal s (t) characteristic parameter M2Theoretical valueSpecific formula for calculation is：
Understood by calculating, bpsk signal and msk signalIt is 1, QPSK, 8PSK, 16QAM and 64QAM signal
'sBe 0, it is possible thereby to least mean-square error grader by BPSK, msk signal and QPSK, 8PSK, 16QAM,
64QAM signals are separated；For bpsk signal, in Generalized Cyclic cumulant amplitude spectrumOn only in carrier frequency position
In the presence of an obvious spectral peak, and msk signal respectively has an obvious spectral peak at two temperature, thus can pass through characteristic parameter M2With
Detect Generalized Cyclic cumulant amplitude spectrumSpectral peak number bpsk signal is identified with msk signal；
Detect Generalized Cyclic cumulant amplitude spectrumSpectral peak number specific method it is as follows：
Generalized Cyclic cumulant amplitude spectrum is searched for firstThe corresponding circulation warm of maximum Max and its position
Spend α0, by its small neighbourhood [α0-δ0,α0+δ0] interior zero setting, wherein δ0For a positive number, if | α0-fc|/fc＜ σ0, wherein δ0For one
Close to 0 positive number, fcFor the carrier wave temperature of signal, then judge that this signal type, for bpsk signal, otherwise continues search for second largest value
The Max1 and its corresponding circulating temperature α in position1；If | Max-Max1 |/Max ＜ σ0, and | (α0+α1)/2-fc|/fc＜ σ0, then
Judge this signal type for msk signal；
Temperature controller obtains the initial dump energy E of each nodeirAfterwards, node is estimated by LEACH energy consumption models
The surplus value of energy, after M wheels have been carried out, the dump energy of node can be evaluated whether for：E=Eir-M(Etx+Erx)=Eir-M
(2kEelec+kεfree-space-ampd2), the EirAs dump energy of the node feeding back to cluster head；
The LEACH energy consumption models be LEACH agreements propose sensor when sending and receiving data energy expenditure
Consumption models, it embodies form and is：
Erx(k)=Ere-elec(k)=kEelec；
Wherein, EelecRepresent wireless transceiver circuit energy consumption, εfree-space-ampAnd εtwo-way-ampFree space mode is represented respectively
The amplifier energy consumption of type and multichannel consumption models, d0It is constant, d is communication node standoff distance, and k is the number that send or receive
According to digit, Etx(k, d) and Erx(k) energy consumption when sensor sends and receives data is represented respectively；Pass through LEACH energy consumption models
It can obtain the dump energy of the node.
Further, information region is carried out Sink sections after network subdivision, subdivision by the wireless sensor network module
Point broadcasts all information so that each node knows that the implementation method of its grid taken and position is：
Under the influence of an electric current, WSN nodes are in position not stationary state, therefore the location Calculation of node needs constantly
Carry out, for convenience of calculating, Sink node is square volume mesh first by its target area subdivision, and area is calculated to given area G
Domain G maximum length l, width w and height h, subregion P is divided intoIndividual square,
And obtained subdivision information is broadcast to all the sensors node in network, whereinFor the smallest positive integral more than or equal to x, and
Grid is numbered, each grid representation is Wx,y,z, the positional information of node is denoted as posx,y,z, it is clear that structure as stated above
The each square made, the radius of its circumscribed circle is just the half of the sensing radius of sensor node；From hypothesis condition,
Node inside same grid can cover whole grid, and the node in adjacent two grids being capable of free communication；
Grid is encoded by three-dimensional three marks method, the lattice point near Sink is W000；The node in whole grid is carried out simultaneously
Numbering, and it is denoted as set SW (Pi), i ∈ { 0,1,2 ... }.
Further, the temperature controller passes through network connection APP mobile terminals；The APP mobile terminals are used to receive
The data message transmitted with display controller, and sharing data information.
Further, the data sharing method of APP mobile terminals, is specifically included：
Request is shared in acquisition；
Share request according to described, call a streaming media service, and determine first data for being used to share；
Based on the streaming media service, first data are converted into stream medium data and generation one by Streaming Media
Agreement results in the address information of the stream medium data；
The address information is sent to controller；Wherein, the address information is used to make the controller according to described
Stream medium data described in the information acquisition of location；
Based on the streaming media service, after the confirmation of the controller is received, institute is exported to the controller
State stream medium data.
Further, included according to first data for sharing request determination for sharing：
If from it is described share the fileinfo of any data file stored on the controller is got in request, really
The fixed any data file is the first data for sharing；
It is if in any data file handling procedure, receiving and sharing request, then currently processed any data file is true
It is set to the first data for sharing.
Further, before the stream medium data is exported to the temperature controller, further comprise：
Control information is sent to the controller, the control information is used to make the controller according to the control information
It is determined that performing the stream medium data application program；
When in any data file handling procedure, receive it is described share request, according to it is described share ask determination to be used for
The first data shared, and first data are converted into stream medium data and generation one can be obtained by stream media protocol
Obtaining the address information of the stream medium data includes：
Currently processed any data file is defined as the first data for sharing；
The currently processed positional information of any data file is obtained, and will be untreated in any data file
It is partially converted to stream medium data and generation one results in the address information of the stream medium data by stream media protocol；
Any data file is converted into stream medium data and generation one institute is resulted in by stream media protocol
State the address information of stream medium data.
Further, request is shared in the acquisition includes：
If detecting the operation information that controller performs setting operation, being shared according to operation information generation please
Ask；
The handling process that any data file is terminated after the confirmation of the controller is received；
Share described in obtaining after request, using the data inputted in real time as the first data, Streaming Media is called based on described
The first data inputted in real time are converted into stream medium data by service
The present invention is directed to a wide range of interior, it is impossible to realize the maximum power transfer of radio energy transmission system, control method
Ineffective the problem of, the present invention includes temperature power-adjustable source, radio energy reception device, radio energy emitter, defeated
Go out voltage regulating device, load, temperature regulation controller.The wireless electric energy transmission device include radio energy reception device,
Radio energy emitter and output voltage regulator.The wireless electric energy transmission device is connected by wire with load.
The wireless power transmission reception device sends infrared signal to temperature controller.The temperature controller is passed according to radio energy
The signal of defeated reception device feedback obtains the position signalling of wireless power transmission reception device, so that according to control temperature and transmission
The relation of distance carries out temperature adjustment by DSP or FPGA programming realizations to temperature power-adjustable source.Overcome prior art
It is not enough that there is provided three resonance coil radio energy transmission system maximum power control methods, realization radio energy in certain distance
The maximum power transfer of Transmission system.
The parameter information that the present invention is obtained using network technology, is shown on user's mobile device in real time；The application will
The development of technology for detection can be promoted, user can obtain the parameter used whenever and wherever possible.APP man-machine interactions are good,
Accuracy rate and when ductility in terms of disclosure satisfy that the demand of client, magnetic coupling type wireless electric energy transmission device its long transmission distance,
Efficiency high, power are big, and potential practical value is high.The wireless senser detection signal of wireless sensor network module of the present invention
Method improves nearly 4 percentage points compared to prior art, greatly ensure that the accuracy of data processing.
Brief description of the drawings
Fig. 1 is the automatic continuous measuring system signal of the rotary spherical digester temperature provided in an embodiment of the present invention based on internet-based control
Figure.
In figure：1st, temperature power-adjustable source；2nd, radio energy reception device；3rd, radio energy emitter；4th, electricity is exported
Press adjusting means；5th, load, 6, temperature regulation controller.
Embodiment
In order to make the purpose , technical scheme and advantage of the present invention be clearer, with reference to embodiments, to the present invention
It is further elaborated.It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, it is not used to
Limit the present invention.
The application principle of the present invention is explained in detail below in conjunction with the accompanying drawings.
As shown in Figure 1：Rotary spherical digester temperature automatic continuous measuring system provided in an embodiment of the present invention based on internet-based control,
The automatic continuous measuring system of rotary spherical digester temperature based on internet-based control includes：Temperature power-adjustable source 1, wireless power transmission
Device, load 5, temperature regulation controller 6；Temperature power-adjustable source sends a signal to wireless electric energy transmission device；
The wireless electric energy transmission device includes radio energy reception device 2, radio energy emitter 3 and output voltage
Adjusting means 4；The wireless electric energy transmission device is connected by wire with load；
The wireless power transmission reception device sends infrared signal to temperature controller；
The signal that the temperature controller feeds back according to wireless power transmission reception device obtains wireless power transmission reception
The position signalling of device, so as to carry out temperature adjustment according to the relation pair temperature power-adjustable source of control temperature and transmission range；
The temperature controller is provided with wireless sensor network module；The data aggregate side of wireless sensor network module
Method includes：
Step 1: deployment wireless senser：In the detection zone that area is S=W × L, wireless senser is deployed in
Detection zone；The wireless senser measurement model is as follows：
YA(tk-1)、YA(tk)、YA(tk+1) be respectively temperature sensor A to target in tk-1,tk,tk+1The local flute card at moment
Measuring value under your coordinate system, be respectively：
Wherein, Y'A(tk-1)、Y'A(tk)、Y'A(tk+1) it is respectively temperature sensor A in tk-1,tk,tk+1The local flute at moment
Actual position under karr coordinate system；CA(t) it is the transformation matrix of error；ξA(t) it is the systematic error of temperature sensor；
For system noise, it is assumed thatFor zero-mean, separate Gaussian stochastic variable, noise covariance
Matrix is respectively RA(k-1)、RA(k)、RA(k+1)；
Step 2: selection cluster head：Whole detection zone is evenly dividing by grid, makes the size shape of each grid
Identical, the sensor node for selecting positional distance grid element center nearest in each grid is used as cluster head；
Step 3: sub-clustering：After the completion of cluster head selection, cluster head broadcast Cluster { ID, N, Hop } information, wherein, ID is section
The numbering of point, the hop count that N forwards for Cluster information, and N initial value are the hop count that 0, Hop is default；It is attached in cluster head
Near neighbor node receives N increases by 1 after Cluster information and forwards this information again, until N=Hop just no longer forwards Cluster
Information；Again to Cluster information to be transmitted to the neighbor node of oneself after the neighbor node forwarding Cluster information of cluster head, so
Feedback information Join { ID, N, an E are sent afterwardsir, dij, kiTo Cluster information to be transmitted to the node of oneself, most at last
Join information is transmitted to cluster head and represents oneself to add the cluster, wherein, EirRepresent the dump energy of the node now, dijRepresent two
Distance between node, kiRepresent that the node can monitor the size of obtained packet；If a node have received multiple
Cluster information, node just selects the N values small addition cluster, if the equal nodes of N just at will select a cluster and are added to this
Cluster；If node does not receive Cluster information, node sends Help information, adds a cluster nearest from oneself；
Step 4: cluster interior nodes constitute simple graph model：By step 3 obtain all nodes in cluster in cluster it is residing
Position, each node is regarded and is connected between a summit of figure, each two adjacent node with side；
Step 5: in cluster weights calculating：By the step 3, cluster head obtains the E of member node in clusterir、dijAnd ki,
The weights between two adjacent sections point i, j are calculated, the calculation formula of weights is：
Wij=a1(Eir+Ejr)+a2dij+a3(ki+kj)；
Wherein, Ejr、kjThe size for the data that node j dump energy and node j can be monitored, and a are represented respectively1+a2
+a3=1, such system just can be according to system to Eir、dijOr kiRequired proportion difference adjustment aiValue and be met
The weights that difference needs；
The temperature power-adjustable source is built-in with power monitoring module, and the power monitoring module passes through wireless network and temperature
Spend controller connection；Power monitoring module is used to receive signal s (t) broad sense second-order cyclic cumulantsEnter as follows
OK：
Receive signal s (t) characteristic parameter M2Theoretical valueSpecific formula for calculation is：
Understood by calculating, bpsk signal and msk signalIt is 1, QPSK, 8PSK, 16QAM and 64QAM signal
'sBe 0, it is possible thereby to least mean-square error grader by BPSK, msk signal and QPSK, 8PSK, 16QAM,
64QAM signals are separated；For bpsk signal, in Generalized Cyclic cumulant amplitude spectrumOn only in carrier frequency position
In the presence of an obvious spectral peak, and msk signal respectively has an obvious spectral peak at two temperature, thus can pass through characteristic parameter M2With
Detect Generalized Cyclic cumulant amplitude spectrumSpectral peak number bpsk signal is identified with msk signal；
Detect Generalized Cyclic cumulant amplitude spectrumSpectral peak number specific method it is as follows：
Generalized Cyclic cumulant amplitude spectrum is searched for firstThe corresponding circulating temperature of maximum Max and its position
α0, by its small neighbourhood [α0-δ0,α0+δ0] interior zero setting, wherein δ0For a positive number, if | α0-fc|/fc＜ σ0, wherein δ0Connect for one
Nearly 0 positive number, fcFor the carrier wave temperature of signal, then judge that this signal type, for bpsk signal, otherwise continues search for second largest value
The Max1 and its corresponding circulating temperature α in position1；If | Max-Max1 |/Max ＜ σ0, and | (α0+α1)/2-fc|/fc＜ σ0, then
Judge this signal type for msk signal；
Temperature controller obtains the initial dump energy E of each nodeirAfterwards, node is estimated by LEACH energy consumption models
The surplus value of energy, after M wheels have been carried out, the dump energy of node can be evaluated whether for：E=Eir-M(Etx+Erx)=Eir-M
(2kEelec+kεfree-space-ampd2), the EirAs dump energy of the node feeding back to cluster head；
The LEACH energy consumption models be LEACH agreements propose sensor when sending and receiving data energy expenditure
Consumption models, it embodies form and is：
Erx(k)=Ere-elec(k)=kEelec；
Wherein, EelecRepresent wireless transceiver circuit energy consumption, εfree-space-ampAnd εtwo-way-ampFree space mode is represented respectively
The amplifier energy consumption of type and multichannel consumption models, d0It is constant, d is communication node standoff distance, and k is the number that send or receive
According to digit, Etx(k, d) and Erx(k) energy consumption when sensor sends and receives data is represented respectively；Pass through LEACH energy consumption models
It can obtain the dump energy of the node.
Further, information region is carried out Sink sections after network subdivision, subdivision by the wireless sensor network module
Point broadcasts all information so that each node knows that the implementation method of its grid taken and position is：
Under the influence of an electric current, WSN nodes are in position not stationary state, therefore the location Calculation of node needs constantly
Carry out, for convenience of calculating, Sink node is square volume mesh first by its target area subdivision, and area is calculated to given area G
Domain G maximum length l, width w and height h, subregion P is divided intoIndividual square,
And obtained subdivision information is broadcast to all the sensors node in network, whereinFor the smallest positive integral more than or equal to x, and
Grid is numbered, each grid representation is Wx,y,z, the positional information of node is denoted as posx,y,z, it is clear that structure as stated above
The each square made, the radius of its circumscribed circle is just the half of the sensing radius of sensor node；From hypothesis condition,
Node inside same grid can cover whole grid, and the node in adjacent two grids being capable of free communication；
Grid is encoded by three-dimensional three marks method, the lattice point near Sink is W000；The node in whole grid is carried out simultaneously
Numbering, and it is denoted as set SW (Pi), i ∈ { 0,1,2 ... }.
Further, the temperature controller passes through network connection APP mobile terminals；The APP mobile terminals are used to receive
The data message transmitted with display controller, and sharing data information.
Further, the data sharing method of APP mobile terminals, is specifically included：
Request is shared in acquisition；
Share request according to described, call a streaming media service, and determine first data for being used to share；
Based on the streaming media service, first data are converted into stream medium data and generation one by Streaming Media
Agreement results in the address information of the stream medium data；
The address information is sent to controller；Wherein, the address information is used to make the controller according to described
Stream medium data described in the information acquisition of location；
Based on the streaming media service, after the confirmation of the controller is received, institute is exported to the controller
State stream medium data.
Further, included according to first data for sharing request determination for sharing：
If from it is described share the fileinfo of any data file stored on the controller is got in request, really
The fixed any data file is the first data for sharing；
It is if in any data file handling procedure, receiving and sharing request, then currently processed any data file is true
It is set to the first data for sharing.
Further, before the stream medium data is exported to the temperature controller, further comprise：
Control information is sent to the controller, the control information is used to make the controller according to the control information
It is determined that performing the stream medium data application program；
When in any data file handling procedure, receive it is described share request, according to it is described share ask determination to be used for
The first data shared, and first data are converted into stream medium data and generation one can be obtained by stream media protocol
Obtaining the address information of the stream medium data includes：
Currently processed any data file is defined as the first data for sharing；
The currently processed positional information of any data file is obtained, and will be untreated in any data file
It is partially converted to stream medium data and generation one results in the address information of the stream medium data by stream media protocol；
Any data file is converted into stream medium data and generation one institute is resulted in by stream media protocol
State the address information of stream medium data.
Further, request is shared in the acquisition includes：
If detecting the operation information that controller performs setting operation, being shared according to operation information generation please
Ask；
The handling process that any data file is terminated after the confirmation of the controller is received；
Share described in obtaining after request, using the data inputted in real time as the first data, Streaming Media is called based on described
The first data inputted in real time are converted into stream medium data by service
The present invention is directed to a wide range of interior, it is impossible to realize the maximum power transfer of radio energy transmission system, control method
Ineffective the problem of, the present invention includes temperature power-adjustable source, radio energy reception device, radio energy emitter, defeated
Go out voltage regulating device, load, temperature regulation controller.The wireless electric energy transmission device include radio energy reception device,
Radio energy emitter and output voltage regulator.The wireless electric energy transmission device is connected by wire with load.
The wireless power transmission reception device sends infrared signal to temperature controller.The temperature controller is passed according to radio energy
The signal of defeated reception device feedback obtains the position signalling of wireless power transmission reception device, so that according to control temperature and transmission
The relation of distance carries out temperature adjustment by DSP or FPGA programming realizations to temperature power-adjustable source.Overcome prior art
It is not enough that there is provided three resonance coil radio energy transmission system maximum power control methods, realization radio energy in certain distance
The maximum power transfer of Transmission system.
The parameter information that the present invention is obtained using network technology, is shown on user's mobile device in real time；The application will
The development of technology for detection can be promoted, user can obtain the parameter used whenever and wherever possible.APP man-machine interactions are good,
Accuracy rate and when ductility in terms of disclosure satisfy that the demand of client.
Operation principle：
1. by wireless power transmission reception device temperature controller is fed back signal to obtain wireless power transmission reception
The position signalling of device, so that temperature controller adjusts adjustable temperature power according to the relation between operating temperature and transmission range
The temperature in source, makes wireless electric energy transmission device when transmission range changes, load output power maintains maximum horizontal.
2. described in output voltage regulator AC-DC conversion or AC-DC-AC are carried out to the output of radio energy reception device
Conversion is with powering load.
3. wireless power transmission reception device sends infrared signal to temperature controller, temperature controller is according to radio energy
The signal of transmission reception device feedback obtains the position signalling of wireless power transmission reception device, so that according to control temperature with passing
The relation of defeated distance carries out temperature adjustment by DSP or FPGA programming realizations to temperature power-adjustable source.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all essences in the present invention
Any modifications, equivalent substitutions and improvements made within refreshing and principle etc., should be included in the scope of the protection.
Claims (6)
1. a kind of automatic continuous measuring system of rotary spherical digester temperature based on internet-based control, it is characterised in that described to be based on internet
The automatic continuous measuring system of rotary spherical digester temperature of control includes：Temperature power-adjustable source, wireless electric energy transmission device, load, temperature
Adjust controller；The temperature power-adjustable source sends a signal to wireless electric energy transmission device；
The wireless electric energy transmission device includes radio energy reception device, radio energy emitter and output voltage regulation dress
Put；The wireless electric energy transmission device is connected by wire with load；
The wireless power transmission reception device sends infrared signal to temperature controller；
The signal that the temperature controller feeds back according to wireless power transmission reception device obtains wireless power transmission reception device
Position signalling so that according to control temperature and transmission range relation pair temperature power-adjustable source carry out temperature adjustment；
The temperature controller is provided with wireless sensor network module；The data aggregation method bag of wireless sensor network module
Include：
Step 1: deployment wireless senser：In the detection zone that area is S=W × L, wireless senser is deployed in detection
Region；The wireless senser measurement model is as follows：
YA(tk-1)、YA(tk)、YA(tk+1) be respectively temperature sensor A to target in tk-1,tk,tk+1The local Descartes at moment sits
Measuring value under mark system, be respectively：
<mrow>
<msub>
<mi>Y</mi>
<mi>A</mi>
</msub>
<mrow>
<mo>(</mo>
<msub>
<mi>t</mi>
<mrow>
<mi>k</mi>
<mo>-</mo>
<mn>1</mn>
</mrow>
</msub>
<mo>)</mo>
</mrow>
<mo>=</mo>
<msub>
<msup>
<mi>Y</mi>
<mo>&prime;</mo>
</msup>
<mi>A</mi>
</msub>
<mrow>
<mo>(</mo>
<msub>
<mi>t</mi>
<mrow>
<mi>k</mi>
<mo>-</mo>
<mn>1</mn>
</mrow>
</msub>
<mo>)</mo>
</mrow>
<mo>-</mo>
<msub>
<mi>C</mi>
<mi>A</mi>
</msub>
<mrow>
<mo>(</mo>
<msub>
<mi>t</mi>
<mrow>
<mi>k</mi>
<mo>-</mo>
<mn>1</mn>
</mrow>
</msub>
<mo>)</mo>
</mrow>
<msub>
<mi>&xi;</mi>
<mi>A</mi>
</msub>
<mrow>
<mo>(</mo>
<msub>
<mi>t</mi>
<mrow>
<mi>k</mi>
<mo>-</mo>
<mn>1</mn>
</mrow>
</msub>
<mo>)</mo>
</mrow>
<mo>+</mo>
<msub>
<mi>n</mi>
<mrow>
<msub>
<mi>Y</mi>
<mi>A</mi>
</msub>
<mrow>
<mo>(</mo>
<msub>
<mi>t</mi>
<mrow>
<mi>k</mi>
<mo>-</mo>
<mn>1</mn>
</mrow>
</msub>
<mo>)</mo>
</mrow>
</mrow>
</msub>
<mo>;</mo>
</mrow>
<mrow>
<msub>
<mi>Y</mi>
<mi>A</mi>
</msub>
<mrow>
<mo>(</mo>
<msub>
<mi>t</mi>
<mi>k</mi>
</msub>
<mo>)</mo>
</mrow>
<mo>=</mo>
<msub>
<msup>
<mi>Y</mi>
<mo>&prime;</mo>
</msup>
<mi>A</mi>
</msub>
<mrow>
<mo>(</mo>
<msub>
<mi>t</mi>
<mi>k</mi>
</msub>
<mo>)</mo>
</mrow>
<mo>-</mo>
<msub>
<mi>C</mi>
<mi>A</mi>
</msub>
<mrow>
<mo>(</mo>
<msub>
<mi>t</mi>
<mi>k</mi>
</msub>
<mo>)</mo>
</mrow>
<msub>
<mi>&xi;</mi>
<mi>A</mi>
</msub>
<mrow>
<mo>(</mo>
<msub>
<mi>t</mi>
<mi>k</mi>
</msub>
<mo>)</mo>
</mrow>
<mo>+</mo>
<msub>
<mi>n</mi>
<mrow>
<msub>
<mi>Y</mi>
<mi>A</mi>
</msub>
<mrow>
<mo>(</mo>
<msub>
<mi>t</mi>
<mi>k</mi>
</msub>
<mo>)</mo>
</mrow>
</mrow>
</msub>
<mo>;</mo>
</mrow>
<mrow>
<msub>
<mi>Y</mi>
<mi>A</mi>
</msub>
<mrow>
<mo>(</mo>
<msub>
<mi>t</mi>
<mrow>
<mi>k</mi>
<mo>+</mo>
<mn>1</mn>
</mrow>
</msub>
<mo>)</mo>
</mrow>
<mo>=</mo>
<msub>
<msup>
<mi>Y</mi>
<mo>&prime;</mo>
</msup>
<mi>A</mi>
</msub>
<mrow>
<mo>(</mo>
<msub>
<mi>t</mi>
<mrow>
<mi>k</mi>
<mo>+</mo>
<mn>1</mn>
</mrow>
</msub>
<mo>)</mo>
</mrow>
<mo>-</mo>
<msub>
<mi>C</mi>
<mi>A</mi>
</msub>
<mrow>
<mo>(</mo>
<msub>
<mi>t</mi>
<mrow>
<mi>k</mi>
<mo>+</mo>
<mn>1</mn>
</mrow>
</msub>
<mo>)</mo>
</mrow>
<msub>
<mi>&xi;</mi>
<mi>A</mi>
</msub>
<mrow>
<mo>(</mo>
<msub>
<mi>t</mi>
<mrow>
<mi>k</mi>
<mo>+</mo>
<mn>1</mn>
</mrow>
</msub>
<mo>)</mo>
</mrow>
<mo>+</mo>
<msub>
<mi>n</mi>
<mrow>
<msub>
<mi>Y</mi>
<mi>A</mi>
</msub>
<mrow>
<mo>(</mo>
<msub>
<mi>t</mi>
<mrow>
<mi>k</mi>
<mo>+</mo>
<mn>1</mn>
</mrow>
</msub>
<mo>)</mo>
</mrow>
</mrow>
</msub>
<mo>;</mo>
</mrow>
Wherein, Y'A(tk-1)、Y'A(tk)、Y'A(tk+1) it is respectively temperature sensor A in tk-1,tk,tk+1The local Descartes at moment
Actual position under coordinate system；CA(t) it is the transformation matrix of error；ξA(t) it is the systematic error of temperature sensor；To be
System noise, it is assumed thatFor zero-mean, separate Gaussian stochastic variable, noise covariance matrix
Respectively RA(k-1)、RA(k)、RA(k+1)；
Step 2: selection cluster head：Whole detection zone is evenly dividing by grid, makes the size shape phase of each grid
Together, the sensor node for selecting positional distance grid element center nearest in each grid is used as cluster head；
Step 3: sub-clustering：After the completion of cluster head selection, cluster head broadcast Cluster { ID, N, Hop } information, wherein, ID is node
Numbering, the hop count that N forwards for Cluster information, and N initial value are the hop count that 0, Hop is default；Near cluster head
Neighbor node receives N increases by 1 after Cluster information and forwards this information again, and until N=Hop, just no longer forwarding Cluster believes
Breath；Again to Cluster information to be transmitted to the neighbor node of oneself after the neighbor node forwarding Cluster information of cluster head, then
Send feedback information Join { ID, N, an Eir, dij, kiCluster information is transmitted to the node of oneself, most at last Join
Information is transmitted to cluster head and represents oneself to add the cluster, wherein, EirRepresent the dump energy of the node now, dijRepresent two nodes
Between distance, kiRepresent that the node can monitor the size of obtained packet；If a node have received multiple Cluster
Information, node just selects the N values small addition cluster, if the equal nodes of N just at will select a cluster and are added to the cluster；If section
Point does not receive Cluster information, then node sends Help information, adds a cluster nearest from oneself；
Step 4: cluster interior nodes constitute simple graph model：All nodes location in cluster in cluster is obtained by step 3,
Each node is regarded and is connected between a summit of figure, each two adjacent node with side；
Step 5: in cluster weights calculating：By the step 3, cluster head obtains the E of member node in clusterir、dijAnd ki, calculate
Weights between two adjacent sections point i, j, the calculation formula of weights is：
Wij=a1(Eir+Ejr)+a2dij+a3(ki+kj)；
Wherein, Ejr、kjThe size for the data that node j dump energy and node j can be monitored, and a are represented respectively1+a2+a3
=1, such system just can be according to system to Eir、dijOr kiRequired proportion difference adjustment aiValue and be met difference
The weights needed；
The temperature power-adjustable source is built-in with power monitoring module, and the power monitoring module passes through wireless network and temperature control
Device connection processed；Power monitoring module is used to receive signal s (t) broad sense second-order cyclic cumulantsCarry out as follows：
<mrow>
<msubsup>
<mi>GC</mi>
<mrow>
<mi>s</mi>
<mo>,</mo>
<mn>20</mn>
</mrow>
<mi>&beta;</mi>
</msubsup>
<mo>=</mo>
<msubsup>
<mi>GM</mi>
<mrow>
<mi>s</mi>
<mo>,</mo>
<mn>20</mn>
</mrow>
<mi>&beta;</mi>
</msubsup>
<mo>;</mo>
</mrow>
Receive signal s (t) characteristic parameter M2Theoretical valueSpecific formula for calculation is：
<mrow>
<msubsup>
<mi>GC</mi>
<mrow>
<mi>s</mi>
<mo>,</mo>
<mn>20</mn>
</mrow>
<mi>&beta;</mi>
</msubsup>
<mo>=</mo>
<mfrac>
<mn>1</mn>
<mi>N</mi>
</mfrac>
<munderover>
<mo>&Sigma;</mo>
<mrow>
<mi>k</mi>
<mo>=</mo>
<mn>1</mn>
</mrow>
<mi>N</mi>
</munderover>
<mi>a</mi>
<mrow>
<mo>(</mo>
<mi>k</mi>
<mo>)</mo>
</mrow>
<mi>a</mi>
<mrow>
<mo>(</mo>
<mi>k</mi>
<mo>)</mo>
</mrow>
<msup>
<mrow>
<mo>|</mo>
<mi>l</mi>
<mi>n</mi>
<mo>|</mo>
<mi>a</mi>
<mrow>
<mo>(</mo>
<mi>k</mi>
<mo>)</mo>
</mrow>
<mo>|</mo>
<mo>|</mo>
</mrow>
<mn>2</mn>
</msup>
<mo>;</mo>
</mrow>
Understood by calculating, bpsk signal and msk signalIt is 1, QPSK, 8PSK, 16QAM and 64QAM signalIt is 0, it is possible thereby to least mean-square error grader by BPSK, msk signal and QPSK, 8PSK, 16QAM, 64QAM
Signal is separated；For bpsk signal, in Generalized Cyclic cumulant amplitude spectrumOn only have one in carrier frequency position
Individual obvious spectral peak, and msk signal respectively has an obvious spectral peak at two temperature, thus can pass through characteristic parameter M2It is wide with detection
Adopted cyclic cumulants amplitude spectrumSpectral peak number bpsk signal is identified with msk signal；
Detect Generalized Cyclic cumulant amplitude spectrumSpectral peak number specific method it is as follows：
Generalized Cyclic cumulant amplitude spectrum is searched for firstMaximum Max and its corresponding circulating temperature α in position0,
By its small neighbourhood [α0-δ0,α0+δ0] interior zero setting, wherein δ0For a positive number, if | α0-fc|/fc＜ σ0, wherein δ0It is close for one
0 positive number, fcFor the carrier wave temperature of signal, then judge that this signal type continues search for second largest value Max1 for bpsk signal, otherwise
And its corresponding circulating temperature α in position1；If | Max-Max1 |/Max ＜ σ0, and | (α0+α1)/2-fc|/fc＜ σ0, then judge
This signal type is msk signal；
Temperature controller obtains the initial dump energy E of each nodeirAfterwards, node energy is estimated by LEACH energy consumption models
Surplus value, after M wheels have been carried out, the dump energy of node can be evaluated whether for：E=Eir-M(Etx+Erx)=Eir-M(2kEelec+
kεfree-space-ampd2), the EirAs dump energy of the node feeding back to cluster head；
The LEACH energy consumption models are the consumption for sensor energy expenditure when sending and receiving data that LEACH agreements are proposed
Model, it embodies form and is：
<mrow>
<msub>
<mi>E</mi>
<mrow>
<mi>t</mi>
<mi>x</mi>
</mrow>
</msub>
<mrow>
<mo>(</mo>
<mi>k</mi>
<mo>,</mo>
<mi>d</mi>
<mo>)</mo>
</mrow>
<mo>=</mo>
<msub>
<mi>E</mi>
<mrow>
<mi>t</mi>
<mi>x</mi>
<mo>-</mo>
<mi>e</mi>
<mi>l</mi>
<mi>e</mi>
<mi>c</mi>
</mrow>
</msub>
<mrow>
<mo>(</mo>
<mi>k</mi>
<mo>)</mo>
</mrow>
<mo>+</mo>
<msub>
<mi>E</mi>
<mrow>
<mi>t</mi>
<mi>x</mi>
<mo>-</mo>
<mi>a</mi>
<mi>m</mi>
<mi>p</mi>
</mrow>
</msub>
<mrow>
<mo>(</mo>
<mi>k</mi>
<mo>,</mo>
<mi>d</mi>
<mo>)</mo>
</mrow>
<mo>=</mo>
<mfenced open = "{" close = "">
<mtable>
<mtr>
<mtd>
<mrow>
<msub>
<mi>kE</mi>
<mrow>
<mi>e</mi>
<mi>l</mi>
<mi>e</mi>
<mi>c</mi>
</mrow>
</msub>
<mo>+</mo>
<msub>
<mi>k&epsiv;</mi>
<mrow>
<mi>f</mi>
<mi>r</mi>
<mi>e</mi>
<mi>e</mi>
<mo>-</mo>
<mi>s</mi>
<mi>p</mi>
<mi>a</mi>
<mi>c</mi>
<mi>e</mi>
<mo>-</mo>
<mi>a</mi>
<mi>m</mi>
<mi>p</mi>
</mrow>
</msub>
<msup>
<mi>d</mi>
<mn>2</mn>
</msup>
<mo>,</mo>
<mi>d</mi>
<mo>&le;</mo>
<msub>
<mi>d</mi>
<mn>0</mn>
</msub>
</mrow>
</mtd>
</mtr>
<mtr>
<mtd>
<mrow>
<msub>
<mi>kE</mi>
<mrow>
<mi>e</mi>
<mi>l</mi>
<mi>e</mi>
<mi>c</mi>
</mrow>
</msub>
<mo>+</mo>
<msub>
<mi>k&epsiv;</mi>
<mrow>
<mi>t</mi>
<mi>w</mi>
<mi>o</mi>
<mo>-</mo>
<mi>w</mi>
<mi>a</mi>
<mi>y</mi>
<mo>-</mo>
<mi>a</mi>
<mi>m</mi>
<mi>p</mi>
</mrow>
</msub>
<msup>
<mi>d</mi>
<mn>2</mn>
</msup>
<mo>,</mo>
<mi>d</mi>
<mo>&GreaterEqual;</mo>
<msub>
<mi>d</mi>
<mn>0</mn>
</msub>
</mrow>
</mtd>
</mtr>
</mtable>
</mfenced>
<mo>;</mo>
</mrow>
Erx(k)=Ere-elec(k)=kEelec；
Wherein, EelecRepresent wireless transceiver circuit energy consumption, εfree-space-ampAnd εtwo-way-ampRespectively represent free space model and
The amplifier energy consumption of multichannel consumption models, d0It is constant, d is communication node standoff distance, and k is the data bit that send or receive
Number, Etx(k, d) and Erx(k) energy consumption when sensor sends and receives data is represented respectively；Pass through LEACH energy consumption models
Obtain the dump energy of the node；
Information region is carried out network subdivision by the wireless sensor network module, and Sink node is all information after subdivision
Broadcasted so that each node knows that the implementation method of its grid taken and position is：
Under the influence of an electric current, WSN nodes are in position not stationary state, therefore the location Calculation of node needs constantly to enter
OK, for convenience of calculating, Sink node is square volume mesh first by its target area subdivision, and region G is calculated to given area G
Maximum length l, width w and height h, subregion P is divided intoIndividual square, and will
Obtained subdivision information is broadcast to all the sensors node in network, whereinFor the smallest positive integral more than or equal to x, and to net
Lattice are numbered, and each grid representation is Wx,y,z, the positional information of node is denoted as posx,y,z, it is clear that it is as constructed above
Each square, the radius of its circumscribed circle is just the half of the sensing radius of sensor node；From hypothesis condition, same
Node inside one grid can cover whole grid, and the node in adjacent two grids being capable of free communication；By three
Tie up three mark methods to encode grid, the lattice point near Sink is W000；The node in whole grid is compiled simultaneously
Number, and it is denoted as set SW (Pi), i ∈ { 0,1,2 ... }.
2. the rotary spherical digester temperature automatic continuous measuring system as claimed in claim 1 based on internet-based control, it is characterised in that institute
State temperature controller and pass through network connection APP mobile terminals；The APP mobile terminals are used to receive what is transmitted with display controller
Data message, and sharing data information.
3. the rotary spherical digester temperature automatic continuous measuring system as claimed in claim 2 based on internet-based control, it is characterised in that
The data sharing method of APP mobile terminals, is specifically included：
Request is shared in acquisition；
Share request according to described, call a streaming media service, and determine first data for being used to share；
Based on the streaming media service, first data are converted into stream medium data and generation one by stream media protocol
Result in the address information of the stream medium data；
The address information is sent to controller；Wherein, the address information is used to make the controller according to the address be believed
Breath obtains the stream medium data；
Based on the streaming media service, after the confirmation of the controller is received, the stream is exported to the controller
Media data.
4. the rotary spherical digester temperature automatic continuous measuring system as claimed in claim 3 based on internet-based control, it is characterised in that root
Include according to first data for sharing request determination for sharing：
If from it is described share the fileinfo of any data file stored on the controller is got in request, it is determined that institute
It is the first data for sharing to state any data file；
If in any data file handling procedure, receiving and sharing request, then currently processed any data file is defined as
For the first data shared.
5. the rotary spherical digester temperature automatic continuous measuring system as claimed in claim 4 based on internet-based control, it is characterised in that
Before exporting the stream medium data to the temperature controller, further comprise：
Control information is sent to the controller, the control information is used to make the controller determine according to the control information
Perform the stream medium data application program；
When in any data file handling procedure, receive it is described share request, share request according to described and determine for sharing
The first data, and first data are converted into stream medium data and generation one by stream media protocol results in institute
Stating the address information of stream medium data includes：
Currently processed any data file is defined as the first data for sharing；
Obtain the currently processed positional information of any data file, and by untreated part in any data file
Be converted to stream medium data and generation one results in the address information of the stream medium data by stream media protocol；
Any data file is converted into stream medium data and generation one stream is resulted in by stream media protocol
The address information of media data.
6. the rotary spherical digester temperature automatic continuous measuring system as claimed in claim 5 based on internet-based control, it is characterised in that institute
Stating acquisition and sharing request includes：
If detecting the operation information that controller performs setting operation, request is shared according to operation information generation；
The handling process that any data file is terminated after the confirmation of the controller is received；
Share described in obtaining after request, using the data inputted in real time as the first data, streaming media service is called based on described
The first data inputted in real time are converted into stream medium data.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710505191.0A CN107300428A (en) | 2017-06-28 | 2017-06-28 | A kind of automatic continuous measuring system of rotary spherical digester temperature based on internet-based control |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710505191.0A CN107300428A (en) | 2017-06-28 | 2017-06-28 | A kind of automatic continuous measuring system of rotary spherical digester temperature based on internet-based control |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN107300428A true CN107300428A (en) | 2017-10-27 |
Family
ID=60136446
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710505191.0A Pending CN107300428A (en) | 2017-06-28 | 2017-06-28 | A kind of automatic continuous measuring system of rotary spherical digester temperature based on internet-based control |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107300428A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108671895A (en) * | 2018-05-14 | 2018-10-19 | 集美大学 | A kind of more gaps absorption organic volatile nano calcium carbonate composite material and preparation method thereof |
| CN109062200A (en) * | 2018-07-19 | 2018-12-21 | 杭州电子科技大学 | A kind of mobile robot rolling sequential control method of alignment sensor node |
Citations (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN2366839Y (en) * | 1999-02-04 | 2000-03-01 | 浙江大学工业自动化工程研究中心 | Device for automatically and continuously measuring temp. in rotary spherical digester |
| CN101808390A (en) * | 2010-03-08 | 2010-08-18 | 南昌航空大学 | Construction method of aggregation tree for collecting self health state of wireless sensor network |
| CN103166941A (en) * | 2011-12-19 | 2013-06-19 | 联想(北京)有限公司 | Data sharing method and device |
| CN103414786A (en) * | 2013-08-28 | 2013-11-27 | 电子科技大学 | Data aggregation method based on minimum spanning tree |
| CN103812229A (en) * | 2013-11-28 | 2014-05-21 | 华南理工大学 | Maximum power control method for three-resonance-coil wireless electric energy transmission system |
| CN104320796A (en) * | 2014-10-28 | 2015-01-28 | 河海大学常州校区 | Wireless sensor network data transmission method based on LEACH protocol |
| CN204405200U (en) * | 2015-01-09 | 2015-06-17 | 上海载物能源科技有限公司 | Based on the transmission route survey system of radio sensing network |
| CN104936230A (en) * | 2015-06-15 | 2015-09-23 | 华侨大学 | An Energy Balanced Routing Optimization Method for Wireless Sensor Networks Based on Cluster Head Expectations |
| CN105088842A (en) * | 2015-06-24 | 2015-11-25 | 潘秀娟 | Predictive control based slurrying cooking control method |
| EP2963617A1 (en) * | 2014-07-04 | 2016-01-06 | Arc Devices (NI) Limited | Non-touch optical detection of vital signs |
| US20160343133A1 (en) * | 2014-07-04 | 2016-11-24 | Arc Devices Limited | Non-Touch Optical Detection of Vital Signs From Variation Amplification Subsequent to Multiple Frequency Filters |
| CN106357720A (en) * | 2016-08-06 | 2017-01-25 | 内蒙古大学 | System and method for displaying data on basis of internet of things |
| CN106483902A (en) * | 2016-11-23 | 2017-03-08 | 北华大学 | A kind of automatically controlled control system of the barotor based on internet |
| CN106667273A (en) * | 2017-03-06 | 2017-05-17 | 王思琪 | Water dispenser with ultraviolet sterilization function |
| CN106860986A (en) * | 2017-03-03 | 2017-06-20 | 庞彩苓 | A kind of oxygen Ventilator Control System based on Internet of Things |
-
2017
- 2017-06-28 CN CN201710505191.0A patent/CN107300428A/en active Pending
Patent Citations (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN2366839Y (en) * | 1999-02-04 | 2000-03-01 | 浙江大学工业自动化工程研究中心 | Device for automatically and continuously measuring temp. in rotary spherical digester |
| CN101808390A (en) * | 2010-03-08 | 2010-08-18 | 南昌航空大学 | Construction method of aggregation tree for collecting self health state of wireless sensor network |
| CN103166941A (en) * | 2011-12-19 | 2013-06-19 | 联想(北京)有限公司 | Data sharing method and device |
| CN103414786A (en) * | 2013-08-28 | 2013-11-27 | 电子科技大学 | Data aggregation method based on minimum spanning tree |
| CN103812229A (en) * | 2013-11-28 | 2014-05-21 | 华南理工大学 | Maximum power control method for three-resonance-coil wireless electric energy transmission system |
| EP2963617A1 (en) * | 2014-07-04 | 2016-01-06 | Arc Devices (NI) Limited | Non-touch optical detection of vital signs |
| US20160343133A1 (en) * | 2014-07-04 | 2016-11-24 | Arc Devices Limited | Non-Touch Optical Detection of Vital Signs From Variation Amplification Subsequent to Multiple Frequency Filters |
| CN104320796A (en) * | 2014-10-28 | 2015-01-28 | 河海大学常州校区 | Wireless sensor network data transmission method based on LEACH protocol |
| CN204405200U (en) * | 2015-01-09 | 2015-06-17 | 上海载物能源科技有限公司 | Based on the transmission route survey system of radio sensing network |
| CN104936230A (en) * | 2015-06-15 | 2015-09-23 | 华侨大学 | An Energy Balanced Routing Optimization Method for Wireless Sensor Networks Based on Cluster Head Expectations |
| CN105088842A (en) * | 2015-06-24 | 2015-11-25 | 潘秀娟 | Predictive control based slurrying cooking control method |
| CN106357720A (en) * | 2016-08-06 | 2017-01-25 | 内蒙古大学 | System and method for displaying data on basis of internet of things |
| CN106483902A (en) * | 2016-11-23 | 2017-03-08 | 北华大学 | A kind of automatically controlled control system of the barotor based on internet |
| CN106860986A (en) * | 2017-03-03 | 2017-06-20 | 庞彩苓 | A kind of oxygen Ventilator Control System based on Internet of Things |
| CN106667273A (en) * | 2017-03-06 | 2017-05-17 | 王思琪 | Water dispenser with ultraviolet sterilization function |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108671895A (en) * | 2018-05-14 | 2018-10-19 | 集美大学 | A kind of more gaps absorption organic volatile nano calcium carbonate composite material and preparation method thereof |
| CN109062200A (en) * | 2018-07-19 | 2018-12-21 | 杭州电子科技大学 | A kind of mobile robot rolling sequential control method of alignment sensor node |
| CN109062200B (en) * | 2018-07-19 | 2021-06-29 | 杭州电子科技大学 | A mobile robot rolling sequence control method for positioning sensor nodes |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105684524B (en) | Communication system, access network node and method and device for optimizing energy consumption in communication network | |
| Collotta et al. | Bluetooth for Internet of Things: A fuzzy approach to improve power management in smart homes | |
| Hu et al. | An energy-efficient adaptive overlapping clustering method for dynamic continuous monitoring in WSNs | |
| EP3963362A1 (en) | Controlling measurement rates in wireless sensing systems | |
| CN105278475B (en) | Control system, intelligent router and the control device of household electrical appliance | |
| CN112351433A (en) | Heterogeneous network resource allocation method based on reinforcement learning | |
| Baranidharan et al. | Energy efficient hierarchical unequal clustering in wireless sensor networks | |
| CN107300428A (en) | A kind of automatic continuous measuring system of rotary spherical digester temperature based on internet-based control | |
| Faid et al. | IoT-based low cost architecture for smart farming | |
| CN106667273A (en) | Water dispenser with ultraviolet sterilization function | |
| CN103889020A (en) | Wireless sensor network system based on dynamic routing and method thereof | |
| Kannamma et al. | Controlling and monitoring process in industrial automation using Zigbee | |
| CN104093186A (en) | A multi-hop wireless sensor network opportunistic routing method and system thereof | |
| Hou et al. | Proximal policy optimization for user association in hybrid LiFi/WiFi indoor networks | |
| JP6369569B2 (en) | Control device, control method, and control program | |
| Nayak et al. | Harnessing wind energy to power sensor networks for agriculture | |
| CN107959729A (en) | Crop growth environment monitoring system and method based on wireless sensor network | |
| CN111654027B (en) | An intelligent decision-making method for distribution Internet of things based on reinforcement learning | |
| CN106714174B (en) | Half-duplex relay network safe transmission method based on time division energy acquisition | |
| US20250273855A1 (en) | Reconfigurable intelligent surfaces and methods | |
| Shan et al. | GRLinQ: An intelligent spectrum sharing mechanism for device-to-device communications with graph reinforcement learning | |
| Ghayvat et al. | Enhancement of WSN based smart home to a smart building for assisted living: Design issues | |
| JP5473049B2 (en) | Wireless sensor network system using wireless sensor terminals | |
| Kashyap et al. | Performance evaluation of IoT architecture for heterogeneous networks | |
| Ghayvat et al. | Addressing Interference issues in a WSN based smart home for ambient assisted living |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20171027 |