CN106887038A - A kind of orthopaedics inside-fixture formation system and method - Google Patents

A kind of orthopaedics inside-fixture formation system and method Download PDF

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CN106887038A
CN106887038A CN201710090353.9A CN201710090353A CN106887038A CN 106887038 A CN106887038 A CN 106887038A CN 201710090353 A CN201710090353 A CN 201710090353A CN 106887038 A CN106887038 A CN 106887038A
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threedimensional model
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张光辉
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B17/00—Surgical instruments, devices or methods, e.g. tourniquets
    • A61B17/56—Surgical instruments or methods for treatment of bones or joints; Devices specially adapted therefor
    • A61B17/58—Surgical instruments or methods for treatment of bones or joints; Devices specially adapted therefor for osteosynthesis, e.g. bone plates, screws, setting implements or the like
    • A61B17/68—Internal fixation devices, including fasteners and spinal fixators, even if a part thereof projects from the skin
    • 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
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
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    • Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00—Reducing energy consumption in communication networks
    • Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks

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Abstract

The invention belongs to technical field of clinical medicine, a kind of orthopaedics inside-fixture formation system and method are disclosed, be provided with LAN module, be provided with：Processor；Threedimensional model module；First computing module；Attitude orientation module；Second computing module；LAN module, the transmission for realizing processor information；Mobile terminal, the display for realizing processor information.The present invention realizes the long-range monitoring to inside-fixture shaping, is easy to improve clinical treatment level；Geometrical relationship between fixture and host bone comes from reverse-engineering so that high fit is realized between fixture and host bone, stress shielding between fixture and host bone is thereby reduced；This two technologies solve the generation of the complication such as osteanabrosis, bone nonunion from source.

Description

A kind of orthopaedics inside-fixture formation system and method
Technical field
The invention belongs to technical field of clinical medicine, more particularly to a kind of orthopaedics inside-fixture formation system and method.
Background technology
Orthopaedics Internal fixation technology is widely used to clinic, and outstanding orthopedist is often not only the " Shandong of superb skill Class ", or outstanding inventor.The fixation of orthopaedics implant, stress are solved based on structures such as bar-screw, plate-screws With the mechanics problem such as durability.By the orthopaedics implant that screw is fixed, due to " screw and the destructive fixation of host bone Mode ", " structure such as industrialized rod, plate, band, silk cannot agree with personalized host's bone surface " and " implant elasticity The reasons such as the difference between modulus and live body bone " so that after implant is fixed, host bone occurs " stress concentration " and " stress Block " etc. Mechanics Phenomenon, thus cause the complication such as " osteanabrosis ", " bone nonunion " occur.Existing orthopaedics inside-fixture shaping There is unitary function in system, it is impossible to realize remote control, and shaping probability is low.
In sum, the problem of prior art presence is：There is unitary function in existing orthopaedics inside-fixture formation system, Remote control cannot be realized, shaping probability is low.
The content of the invention
For the problem that prior art is present, the invention provides a kind of orthopaedics inside-fixture formation system and method.
The present invention is achieved in that a kind of orthopaedics inside-fixture formation system, the orthopaedics inside-fixture formation system Including：
Processor, for will set up threedimensional model, the result of calculation of the first computing module and the 5th computing module and The result of attitude orientation is processed, and issues mobile terminal in wireless form by LAN；
The wireless sensor network routing method of the LAN is comprised the following steps：
Step one, wireless sensor network node deployment；The given working region of wireless sensor network includes 1 source section Point N, 1 destination node Sink and n intermediate node S1,S2,L,Si,L,Sn, each intermediate node has uniquely numbers；Wherein, Source node N is responsible for generating and sending data, and destination node Sink is responsible for receiving the data sent from source node N, intermediate node S1, S2,L,Si,L,SnIt is responsible for the data transfer of source node N transmissions to destination node Sink；
Step 2, generates data, source node N automatically generated data sequence data={ data1,data2,L,datai,L, data8, as the initial data for once sending, wherein i-th data item dataiIt is 28 binary sequences；
Step 3, embedded watermark, gives watermark sequence w={ w1,w2,L,wi,L,w8, wherein wiIt is 4 binary sequences； Successively by wiIt is added to dataiAfterwards, containing watermark is obtained according to sequence wdata={ wdata1,wdata2,L,wdatai,L, wdata8, as the transmission data for once sending, wherein i-th containing watermark is according to item wdataiIt is 32 binary sequences；
Step 4, sends data；
Step 5, watermark extracting and detection；
Step 6, changes node security degree, in data transmission procedure, records this transmission path, that is, preserve forwarding and contain The node serial number of all intermediate nodes that watermark data sequence wdata is passed through, in step 5, if destination node Sink is examined Measure the watermark sequence rw={ rw of taking-up1,rw2,L,rwi,L,rw8With given watermark sequence w={ w1,w2,L,wi,L,w8No Unanimously, i.e., data are tampered in transmitting procedure, then be reduced to the degree of safety of all nodes in this data transfer path and work as / 2nd of preceding value；
Cluster in the wireless sensor network is set up and is included：
(1) PN leader cluster node is elected in each round, wherein P is optimization cluster head ratio, is also probability-weighted；Each Node is decided whether to turn into leader cluster node by following probability threshold：
Wherein, r is current wheel number, and G is nearestDo not have to turn into the node set of cluster head in wheel；Each Node has the opportunity to turn into the more leader cluster node of consumed energy in turn；
E0Represent the primary power of ordinary node, a1,a2,...,anThe ratio shared by n kind special joints, b are represented respectively1, b2,...,bnRepresent that special joint primary power exceedes the multiple of ordinary node primary power respectively；
a1N,a2N,...,anThe primary power of N number of special joint is respectively E0(1+b1),E0(1+b2),...,E0(1+bn), Remaining (1-a1-a2,...-an) N number of ordinary node primary power be E0(1+bn)；
The total primary power of multi-tier Heterogeneous network is：
N number of sensor node is evenly distributed on the border circular areas that a radius is A at random, and sink nodes are located in region Between, the gross energy that each round is consumed during sending data to cluster head is：
Wherein, l is cluster head number, EelecRepresent the energy consumed per bit data during operation transmission circuit or receiving circuit Amount, EDAThe cost of data fusion is performed for cluster head,It is cluster head to the average distance of sink nodes,It is bunch member node To the average distance of leader cluster node, εampd4sinkWithIt is the energy of amplifier consumption：
It is calculated
To EroundLocal derviation is sought on l, and it is 0 to make the partial derivative, then optimal cluster head number is：
Obtain the energy sum E that network is consumed in each roundround；Meanwhile,
The initial total energy E of networktotal, it is known that RtotalIt is the estimate of network lifecycle, also can obtain：
Rtatal=Etotal/Eround；
Different probability-weighted P are taken according to its primary power to this n+1 kinds nodei：
(2) the present energy E that node i is taken turns in riR () chooses its cluster head T turnaround timei,Represent network in r The average energy of wheel, withAs reference energy and the present energy E of nodeiR () is made comparisons, obtain：
Wherein, PoptIt is optimization cluster head ratio；
The average energy of each node of network is after r wheels：
Substitute intoIt is calculated probability-weighted Hi(r)；
Obtain the probability threshold of each node；
Frequency-hopping mixing signal time-frequency domain matrix of the processor to receptionCarry out Pretreatment, specifically includes following two step：
The first step is rightLow energy is carried out to pre-process, i.e., in each sampling instant p, WillValue of the amplitude less than thresholding ε sets to 0, and obtains The setting of thresholding ε can determine according to the average energy for receiving signal；
Second step, finds out the time-frequency numeric field data of p moment (p=0,1,2 ... P-1) non-zero, usesRepresent, whereinRepresent the response of p moment time-frequency These non-zeros are normalized and pre-processed by corresponding frequency indices when non-zero, obtain pretreated vectorial b (p, q)=[b1 (p,q),b2(p,q),…,bM(p,q)]T, wherein
Threedimensional model module, and processor wired connection, for obtaining the continuous fault image of live body bone by tomoscan, Storehouse is carried out to continuous fault image in reverse engineering software and the threedimensional model of live body bone is set up；
First computing module, with processor wired connection, barycenter and the principal axis of inertia for calculating live body bone；
Attitude orientation module, with processor wired connection, the matter for the origin of scan coordinate system to be moved to live body bone The heart, realizes the attitude orientation of live body bone；
Second computing module, with processor wired connection, the threedimensional model of live body bone is amplified for calculating, and is lived amplifying "or" Boolean calculation is done between body bone and live body bone, the armor of live body bone is obtained；
LAN module, with processor wired connection, the transmission for realizing processor information；
Mobile terminal, with LAN module wireless connection, the display for realizing processor information.
Further, in the threedimensional model module three-dimensional model optimal view automatic selecting method, it is characterised in that bag Include following steps：
Step one, the pretreatment of threedimensional model collection：Each threedimensional model that the threedimensional model being input into is concentrated is pre-processed, The classification of all threedimensional models is obtained, including attitude updating, dimension normalization and threedimensional model classification judge three steps, institute Stating threedimensional model concentrates each threedimensional model to be provided with category label；
The coordinate system of attitude updating process adjusting threedimensional model, is erectility by the attitude updating of threedimensional model；
The size normalization of threedimensional model is unit length by dimension normalization process；
Threedimensional model classification deterministic process determines not concentrate unfiled three in threedimensional model according to existing threedimensional model collection The generic of dimension module；
Step 2, alternate view is chosen：Each view of sampled three-dimensional model, and feature and cluster are extracted, obtain three-dimensional One group of alternate view of model：Extracted including threedimensional model view samples, view feature and view clusters three steps：
Threedimensional model view samples process is by continuously distributed viewpoint discretization；
View feature extraction process extracts the characteristic vector for describing each view；
View cluster process flocks together similarity more than the view of threshold value, then generates alternate view subset；
Step 3, view evaluation：Alternate view sequence to threedimensional model, the forward view of selected and sorted is regarded for optimal Figure, including distance is calculated and optimal view learns two steps：
Distance and different three-dimensionals that alternate view concentrates other threedimensional models from threedimensional model are calculated apart from calculating process The corresponding view of model；
Grader is trained to each alternate view in optimal view learning process, and carries out cross validation, by error rate liter Sequence is arranged, and it is optimal view that sequence is most forward.
Another object of the present invention is to provide a kind of orthopaedics inside-fixture of the orthopaedics inside-fixture formation system into Type method, the orthopaedics inside-fixture forming method includes：
The knot of the threedimensional model, the result of calculation of the first computing module and the 5th computing module and attitude orientation that will set up Fruit is processed, and issues mobile terminal in wireless form by LAN；
The continuous fault image of live body bone is obtained by tomoscan, continuous fault image is carried out in reverse engineering software Storehouse simultaneously sets up the threedimensional model of live body bone；
Calculate the barycenter and the principal axis of inertia of live body bone.
The origin of scan coordinate system is moved to the barycenter of live body bone, the attitude orientation of live body bone is realized；
The threedimensional model for amplifying live body bone is calculated, will be amplified between live body bone and live body bone and done "or" Boolean calculation, obtained To the armor of live body bone；
Realize the transmission of processor information；
Realize the display of processor information.
Advantages of the present invention and good effect are：LAN module is provided with, is realized remotely to inside-fixture shaping Monitoring, is easy to improve clinical treatment level；Geometrical relationship between fixture and host bone comes from reverse-engineering so that fixture High fit is realized between host bone, stress shielding between fixture and host bone is thereby reduced；This two technologies from The generation of the complication such as osteanabrosis, bone nonunion is solved on source.
Brief description of the drawings
Fig. 1 is orthopaedics inside-fixture formation system provided in an embodiment of the present invention and method flow diagram.
In figure：1st, processor；2nd, threedimensional model module；3rd, the first computing module；4th, attitude orientation module；5th, second calculate Module；6th, LAN module；7th, mobile terminal.
Specific 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.
Application principle of the invention is explained in detail below in conjunction with the accompanying drawings.
As shown in figure 1, orthopaedics inside-fixture formation system provided in an embodiment of the present invention includes：Processor 1, threedimensional model Module 2, the first computing module 3, attitude orientation module 4, the second computing module 5, LAN module 6, mobile terminal 7.
Processor 1, for will set up threedimensional model, the first computing module 3 and the 5th computing module 5 result of calculation with And the result of attitude orientation is processed, and mobile terminal 7 is issued in wireless form by LAN；
Threedimensional model module 2, and the wired connection of processor 1, for obtaining the continuous tomography shadow of live body bone by tomoscan Picture, to continuous fault image carries out storehouse and sets up the threedimensional model of live body bone in reverse engineering software；
First computing module 3, with the wired connection of processor 1, barycenter and the principal axis of inertia for calculating live body bone.
Attitude orientation module 4, and the wired connection of processor 1, for the origin of scan coordinate system to be moved into live body bone Barycenter, realizes the attitude orientation of live body bone；
Second computing module 5, with the wired connection of processor 1, the threedimensional model of live body bone is amplified for calculating, and will be amplified "or" Boolean calculation is done between live body bone and live body bone, the armor of live body bone is obtained；
LAN module 6, with the wired connection of processor 1, the transmission for realizing the information of processor 1；
Mobile terminal 7, with the wireless connection of LAN module 6, the display for realizing the information of processor 1.
1 pair of frequency-hopping mixing signal time-frequency domain matrix of reception of processorCarry out pre- Treatment, specifically includes following two step：
The first step is rightLow energy is carried out to pre-process, i.e., in each sampling instant p, WillValue of the amplitude less than thresholding ε sets to 0, and obtains The setting of thresholding ε can determine according to the average energy for receiving signal；
Second step, finds out the time-frequency numeric field data of p moment (p=0,1,2 ... P-1) non-zero, usesRepresent, whereinRepresent the response of p moment time-frequency These non-zeros are normalized and pre-processed by corresponding frequency indices when non-zero, obtain pretreated vectorial b (p, q)=[b1 (p,q),b2(p,q),…,bM(p,q)]T, wherein
The automatic selecting method of three-dimensional model optimal view in threedimensional model module 2, it is characterised in that including following step Suddenly：
Step one, the pretreatment of threedimensional model collection：Each threedimensional model that the threedimensional model being input into is concentrated is pre-processed, The classification of all threedimensional models is obtained, including attitude updating, dimension normalization and threedimensional model classification judge three steps, institute Stating threedimensional model concentrates each threedimensional model to be provided with category label；
The coordinate system of attitude updating process adjusting threedimensional model, is erectility by the attitude updating of threedimensional model；
The size normalization of threedimensional model is unit length by dimension normalization process；
Threedimensional model classification deterministic process determines not concentrate unfiled three in threedimensional model according to existing threedimensional model collection The generic of dimension module；
Step 2, alternate view is chosen：Each view of sampled three-dimensional model, and feature and cluster are extracted, obtain three-dimensional One group of alternate view of model：Extracted including threedimensional model view samples, view feature and view clusters three steps：
Threedimensional model view samples process is by continuously distributed viewpoint discretization；
View feature extraction process extracts the characteristic vector for describing each view；
View cluster process flocks together similarity more than the view of threshold value, then generates alternate view subset；
Step 3, view evaluation：Alternate view sequence to threedimensional model, the forward view of selected and sorted is regarded for optimal Figure, including distance is calculated and optimal view learns two steps：
Distance and different three-dimensionals that alternate view concentrates other threedimensional models from threedimensional model are calculated apart from calculating process The corresponding view of model；
Grader is trained to each alternate view in optimal view learning process, and carries out cross validation, by error rate liter Sequence is arranged, and it is optimal view that sequence is most forward.
The wireless sensor network routing method of the LAN is comprised the following steps：
Step one, wireless sensor network node deployment；The given working region of wireless sensor network includes 1 source section Point N, 1 destination node Sink and n intermediate node S1,S2,L,Si,L,Sn, each intermediate node has uniquely numbers；Wherein, Source node N is responsible for generating and sending data, and destination node Sink is responsible for receiving the data sent from source node N, intermediate node S1, S2,L,Si,L,SnIt is responsible for the data transfer of source node N transmissions to destination node Sink；
Step 2, generates data, source node N automatically generated data sequence data={ data1,data2,L,datai,L, data8, as the initial data for once sending, wherein i-th data item dataiIt is 28 binary sequences；
Step 3, embedded watermark, gives watermark sequence w={ w1,w2,L,wi,L,w8, wherein wiIt is 4 binary sequences； Successively by wiIt is added to dataiAfterwards, containing watermark is obtained according to sequence wdata={ wdata1,wdata2,L,wdatai,L, wdata8, as the transmission data for once sending, wherein i-th containing watermark is according to item wdataiIt is 32 binary sequences；
Step 4, sends data；
Step 5, watermark extracting and detection；
Step 6, changes node security degree, in data transmission procedure, records this transmission path, that is, preserve forwarding and contain The node serial number of all intermediate nodes that watermark data sequence wdata is passed through, in step 5, if destination node Sink is examined Measure the watermark sequence rw={ rw of taking-up1,rw2,L,rwi,L,rw8With given watermark sequence w={ w1,w2,L,wi,L,w8No Unanimously, i.e., data are tampered in transmitting procedure, then be reduced to the degree of safety of all nodes in this data transfer path and work as / 2nd of preceding value；
Cluster in the wireless sensor network is set up and is included：
(1) PN leader cluster node is elected in each round, wherein P is optimization cluster head ratio, is also probability-weighted；Each Node is decided whether to turn into leader cluster node by following probability threshold：
Wherein, r is current wheel number, and G is nearestDo not have to turn into the node set of cluster head in wheel；Each Node has the opportunity to turn into the more leader cluster node of consumed energy in turn；
E0Represent the primary power of ordinary node, a1,a2,...,anThe ratio shared by n kind special joints, b are represented respectively1, b2,...,bnRepresent that special joint primary power exceedes the multiple of ordinary node primary power respectively；
a1N,a2N,...,anThe primary power of N number of special joint is respectively E0(1+b1),E0(1+b2),...,E0(1+bn), Remaining (1-a1-a2,...-an) N number of ordinary node primary power be E0(1+bn)；
The total primary power of multi-tier Heterogeneous network is：
N number of sensor node is evenly distributed on the border circular areas that a radius is A at random, and sink nodes are located in region Between, the gross energy that each round is consumed during sending data to cluster head is：
Wherein, l is cluster head number, EelecRepresent the energy consumed per bit data during operation transmission circuit or receiving circuit Amount, EDAThe cost of data fusion is performed for cluster head,It is cluster head to the average distance of sink nodes,It is bunch member node To the average distance of leader cluster node, εampd4 sinkWithIt is the energy of amplifier consumption：
It is calculated
To EroundLocal derviation is sought on l, and it is 0 to make the partial derivative, then optimal cluster head number is：
Obtain the energy sum E that network is consumed in each roundround；Meanwhile,
The initial total energy E of networktotal, it is known that RtotalIt is the estimate of network lifecycle, also can obtain：
Rtatal=Etotal/Eround；
Different probability-weighted P are taken according to its primary power to this n+1 kinds nodei：
(2) the present energy E that node i is taken turns in riR () chooses its cluster head T turnaround timei,Represent network in r The average energy of wheel, withAs reference energy and the present energy E of nodeiR () is made comparisons, obtain：
Wherein, PoptIt is optimization cluster head ratio；
The average energy of each node of network is after r wheels：
Substitute intoIt is calculated probability-weighted Hi(r)；
Obtain the probability threshold of each node.
Orthopaedics inside-fixture forming method provided in an embodiment of the present invention includes：
The knot of the threedimensional model, the result of calculation of the first computing module and the 5th computing module and attitude orientation that will set up Fruit is processed, and issues mobile terminal in wireless form by LAN；
The continuous fault image of live body bone is obtained by tomoscan, continuous fault image is carried out in reverse engineering software Storehouse simultaneously sets up the threedimensional model of live body bone；
Calculate the barycenter and the principal axis of inertia of live body bone.
The origin of scan coordinate system is moved to the barycenter of live body bone, the attitude orientation of live body bone is realized；
The threedimensional model for amplifying live body bone is calculated, will be amplified between live body bone and live body bone and done "or" Boolean calculation, obtained To the armor of live body bone；
Realize the transmission of processor information；
Realize the display of processor information.
Presently preferred embodiments of the present invention is the foregoing is only, is not intended to limit the invention, it is all in essence of the invention Any modification, equivalent and improvement made within god and principle etc., should be included within the scope of the present invention.

Claims (3)

1. a kind of orthopaedics inside-fixture formation system, it is characterised in that the orthopaedics inside-fixture formation system includes：
Processor, the result of calculation and attitude of threedimensional model, the first computing module and the 5th computing module for that will set up The result of positioning is processed, and issues mobile terminal in wireless form by LAN；
The wireless sensor network routing method of the LAN is comprised the following steps：
Step one, wireless sensor network node deployment；The given working region of wireless sensor network includes 1 source node N, 1 destination node Sink and n intermediate node S1,S2,L,Si,L,Sn, each intermediate node has uniquely numbers；Wherein, source section Point N is responsible for generating and sending data, and destination node Sink is responsible for receiving the data sent from source node N, intermediate node S1,S2,L, Si,L,SnIt is responsible for the data transfer of source node N transmissions to destination node Sink；
Step 2, generates data, source node N automatically generated data sequence data={ data1,data2,L,datai,L,data8, As the initial data for once sending, wherein i-th data item dataiIt is 28 binary sequences；
Step 3, embedded watermark, gives watermark sequence w={ w1,w2,L,wi,L,w8, wherein wiIt is 4 binary sequences；Successively By wiIt is added to dataiAfterwards, containing watermark is obtained according to sequence wdata={ wdata1,wdata2,L,wdatai,L,wdata8, make It is the transmission data for once sending, wherein i-th containing watermark is according to item wdataiIt is 32 binary sequences；
Step 4, sends data；
Step 5, watermark extracting and detection；
Step 6, changes node security degree, in data transmission procedure, records this transmission path, that is, preserve forwarding and contain watermark The node serial number of all intermediate nodes that data sequence wdata is passed through, in step 5, if destination node Sink is detected Watermark sequence rw={ the rw of taking-up1,rw2,L,rwi,L,rw8With given watermark sequence w={ w1,w2,L,wi,L,w8Inconsistent, I.e. data are tampered in transmitting procedure, then the degree of safety of all nodes in this data transfer path is reduced into currency 1/2nd；
Cluster in the wireless sensor network is set up and is included：
(1) PN leader cluster node is elected in each round, wherein P is optimization cluster head ratio, is also probability-weighted；Each node Decided whether to turn into leader cluster node by following probability threshold：
Wherein, r is current wheel number, and G is nearestDo not have to turn into the node set of cluster head in wheel；Each node Have the opportunity to turn into the more leader cluster node of consumed energy in turn；
E0Represent the primary power of ordinary node, a1,a2,...,anThe ratio shared by n kind special joints, b are represented respectively1, b2,...,bnRepresent that special joint primary power exceedes the multiple of ordinary node primary power respectively；
a1N,a2N,...,anThe primary power of N number of special joint is respectively E0(1+b1),E0(1+b2),...,E0(1+bn), it is left (1-a1-a2,...-an) N number of ordinary node primary power be E0(1+bn)；
The total primary power of multi-tier Heterogeneous network is：
N number of sensor node is evenly distributed on the border circular areas that a radius is A at random, and sink nodes are located in the middle of region, often One take turns send data to cluster head during the gross energy that is consumed be：
Wherein, l is cluster head number, EelecThe energy consumed per bit data during operation transmission circuit or receiving circuit is represented, EDAThe cost of data fusion is performed for cluster head,It is cluster head to the average distance of sink nodes,It is bunch member node to cluster The average distance of head node, εampd4 s i n kWithIt is the energy of amplifier consumption：
It is calculated
To EroundLocal derviation is sought on l, and it is 0 to make the partial derivative, then optimal cluster head number is：
Obtain the energy sum E that network is consumed in each roundround；Meanwhile,
The initial total energy E of networktotal, it is known that RtotalIt is the estimate of network lifecycle, also can obtain：
Rtatal=Etotal/Eround；
Different probability-weighted P are taken according to its primary power to this n+1 kinds nodei：
(2) the present energy E that node i is taken turns in riR () chooses its cluster head T turnaround timei,Represent what network was taken turns in r Average energy, withAs reference energy and the present energy E of nodeiR () is made comparisons, obtain：
Wherein, PoptIt is optimization cluster head ratio；
The average energy of each node of network is after r wheels：
Substitute intoIt is calculated probability-weighted Hi(r)；
Obtain the probability threshold of each node；
Frequency-hopping mixing signal time-frequency domain matrix of the processor to receptionCarry out pre- place Reason, specifically includes following two step：
The first step is rightLow energy is carried out to pre-process, i.e., in each sampling instant p, willValue of the amplitude less than thresholding ε sets to 0, and obtains The setting of thresholding ε can determine according to the average energy for receiving signal；
Second step, finds out the time-frequency numeric field data of p moment (p=0,1,2 ... P-1) non-zero, uses Represent, whereinRepresent the response of p moment time-frequencyCorresponding frequency indices when non-zero, to this A little non-zero normalization pretreatments, obtain pretreated vectorial b (p, q)=[b1(p,q),b2(p,q),…,bM(p,q) ]T, wherein
Threedimensional model module, and processor wired connection, for obtaining the continuous fault image of live body bone by tomoscan, inverse To carrying out storehouse to continuous fault image in engineering software and set up the threedimensional model of live body bone；
First computing module, with processor wired connection, barycenter and the principal axis of inertia for calculating live body bone；
Attitude orientation module, with processor wired connection, the barycenter for the origin of scan coordinate system to be moved to live body bone is real The attitude orientation of existing live body bone；
Second computing module, with processor wired connection, the threedimensional model of live body bone is amplified for calculating, and will amplify live body bone "or" Boolean calculation is done between live body bone, the armor of live body bone is obtained；
LAN module, with processor wired connection, the transmission for realizing processor information；
Mobile terminal, with LAN module wireless connection, the display for realizing processor information.
2. orthopaedics inside-fixture formation system as claimed in claim 1, it is characterised in that three-dimensional in the threedimensional model module The automatic selecting method of model optimal view, it is characterised in that comprise the following steps：
Step one, the pretreatment of threedimensional model collection：Each threedimensional model that the threedimensional model being input into is concentrated is pre-processed, is obtained The classification of all threedimensional models, including attitude updating, dimension normalization and threedimensional model classification judge three steps, described three Dimension module concentrates each threedimensional model to be provided with category label；
The coordinate system of attitude updating process adjusting threedimensional model, is erectility by the attitude updating of threedimensional model；
The size normalization of threedimensional model is unit length by dimension normalization process；
Threedimensional model classification deterministic process determines not concentrate unfiled three-dimensional mould in threedimensional model according to existing threedimensional model collection The generic of type；
Step 2, alternate view is chosen：Each view of sampled three-dimensional model, and feature and cluster are extracted, obtain threedimensional model One group of alternate view：Extracted including threedimensional model view samples, view feature and view clusters three steps：
Threedimensional model view samples process is by continuously distributed viewpoint discretization；
View feature extraction process extracts the characteristic vector for describing each view；
View cluster process flocks together similarity more than the view of threshold value, then generates alternate view subset；
Step 3, view evaluation：Alternate view sequence to threedimensional model, the forward view of selected and sorted is optimal view, bag Distance is included to calculate and optimal view two steps of study：
Distance and different threedimensional models that alternate view concentrates other threedimensional models from threedimensional model are calculated apart from calculating process Corresponding view；
Grader is trained to each alternate view in optimal view learning process, and carries out cross validation, arranged by error rate ascending order Row, it is optimal view that sequence is most forward.
3. a kind of orthopaedics inside-fixture forming method of orthopaedics inside-fixture formation system as claimed in claim 1, its feature exists In the orthopaedics inside-fixture forming method includes：
The result of the threedimensional model of foundation, the result of calculation of the first computing module and the 5th computing module and attitude orientation is entered Row treatment, and issue mobile terminal in wireless form by LAN；
The continuous fault image of live body bone is obtained by tomoscan, storehouse is carried out to continuous fault image in reverse engineering software And set up the threedimensional model of live body bone；
Calculate the barycenter and the principal axis of inertia of live body bone；
The origin of scan coordinate system is moved to the barycenter of live body bone, the attitude orientation of live body bone is realized；
The threedimensional model for amplifying live body bone is calculated, will be amplified between live body bone and live body bone and done "or" Boolean calculation, lived The armor of body bone；
Realize the transmission of processor information；
Realize the display of processor information.
CN201710090353.9A 2017-02-20 2017-02-20 A kind of orthopaedics inside-fixture formation system and method Pending CN106887038A (en)

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Application publication date: 20170623