CN106200599A - A kind of intelligent home service system - Google Patents

Abstract

The invention provides a kind of intelligent home service system, controlling end and data acquisition module including intelligent household control terminal, cluster server, user, described intelligent household control terminal, cluster server, user control to be connected by network between end, data acquisition module.The present invention brings many convenience can to Smart Home user, people can control each home equipment whenever and wherever possible, and monitor domestic environment, resource utilization is high, one-tenth wood is low, performance good, stability is high, is an intelligent home service system with multi-user as service object.

Description

A kind of intelligent home service system

Technical field

The present invention relates to Smart Home field, be specifically related to a kind of intelligent home service system.

Background technology

Developing rapidly of science and technology, Smart Home field the most constantly obtains huge development.Home intelligence will be big Gesture is become, and soon in the future, also can advance by leaps and bounds in the Smart Home market of China.Smart Home is based on house, based on net Network communication, intelligent appliance, light fixture automatization, collecting system, structure, service, manage and be integrated, and utilizes comprehensive wiring technology intelligence etc. Realize comfortable, safely and conveniently living environment.Smart Home is above useful due to it, will become modern society in future The new lover of meeting.And existing intelligent domestic system includes that its control system is substantially the electricity to the multiple classifications in domestic environment Gas equipment carries out the control on hardware, it is achieved remotely operate, and lacks obtaining in real time and transmitting of various life information.

Summary of the invention

For solving the problems referred to above, the present invention provides a kind of intelligent home service system.

The purpose of the present invention realizes by the following technical solutions:

A kind of intelligent home service system, controls end and data including intelligent household control terminal, cluster server, user Acquisition module, described intelligent household control terminal, cluster server, user control to pass through network between end, data acquisition module Connect.

The invention have the benefit that and can bring many convenience to Smart Home user, people can be controlled whenever and wherever possible Making each home equipment, and monitor domestic environment, resource utilization is high, become that wood is low, performance good, stability is high, be one with multiplex Family is the intelligent home service system of service object.

Accompanying drawing explanation

The invention will be further described to utilize accompanying drawing, but the embodiment in accompanying drawing does not constitute any limit to the present invention System, for those of ordinary skill in the art, on the premise of not paying creative work, it is also possible to obtain according to the following drawings Other accompanying drawing.

Fig. 1 is present configuration schematic diagram；

Fig. 2 is the structural representation of data acquisition module of the present invention.

Reference:

Transducer position unit 1, sensor network optimize unit 2, data monitoring unit 3, data processing unit 4, data Receive unit 5, data transfer unit 6.

Detailed description of the invention

The invention will be further described with the following Examples.

Application scenarios 1

Seeing Fig. 1, Fig. 2, a kind of intelligent home service system of an embodiment of this application scene, including Smart Home Control terminal, cluster server, user control end and data acquisition module, described intelligent household control terminal, cluster server, User controls to be connected by network between end, data acquisition module.

Preferably, the server zone that described cluster server is made up of database server and multiple application server.

The above embodiment of the present invention brings many convenience can to Smart Home user, and people can control respectively whenever and wherever possible Home equipment, and monitor domestic environment, resource utilization is high, one-tenth wood is low, performance good, stability is high, is one and with multi-user is The intelligent home service system of service object.

Preferably, described user controls end and includes that mobile phone controls end and computer and controls end.

This preferred embodiment is convenient to be implemented, it is simple to be monitored domestic environment comprehensively.

Preferably, described data acquisition module includes that transducer position unit 1, sensor network optimize unit 2, data prison Survey unit 3, data processing unit 4, data receipt unit 5 and data transfer unit 6.

Preferably, described transducer position unit 1 is used for positioning unknown sensor network nodes, localization method As follows:

(1) integrated GPS positioning chip on minority sensor node, these sensor nodes obtain by receiving gps signal Take self-position and become known location node, as the location base of other unknown position nodes；

(2) ask for four mutual distances of known location node and jumping figure, calculate the distance averagely often jumped；

(3) for unknown position nodes X, use it to jumping figure and (2) of four known location nodes averagely often jump Distance is multiplied the distance obtaining unknown position node to four known location nodes；

(4) by the way of combination in any, choose wherein three known location nodes, for each combination, survey according to three limits Its position of mensuration acquisition, then produce four result of calculations, ask for mean place as unknown position node final position.

This preferred embodiment arranges transducer position unit 1, it is simple to obtains the source, position of Monitoring Data, uses GPS fixed Position chip and the method for three limit positioning combination, both saved cost, and can obtain again good locating effect.

Preferably, described sensor network optimization unit 2 uses heredity-ant colony optimization algorithm to calculate sensor network route Method is optimized, and concrete grammar is as follows:

(1) stochastic generation network topology structure of wireless sensor；

(2) set the parameter of genetic algorithm, use genetic algorithm to simplify sensor network, form new network topology knot Structure；

(3) ant group algorithm pheromone is initialized according to genetic algorithm result；

(4) set ant group algorithm parameter, use ant group algorithm optimal path is scanned for and updates.

Sensor network is optimized by this preferred embodiment, limited ensureing that whole wireless sensor network performance declines In the case of, improve network energy-saving effect, extend the life-span of network.

Preferably, described data monitoring unit 3 for by the sensor node built by each sensor cooperate into The monitoring in certain region of row, and export the perception data of each sensor node monitoring；

Described data processing unit 4 is compressed processing for the perception data monitoring each sensor node, including:

If the data sequence of described perception data unit interval section is X={x (t₁),x(t₂),…,x(t_n), its Middle t_i(1≤i≤n) express time stabs, x (t_i) represent at t_iThe monitor value that (1≤i≤n) certain node of moment produces, sets by mistake Difference boundary be ε, limit of error be the span of ε be [0.4,0.8], from first data point [t₁, x (t₁)] start, to data Sequence X={ x (t₁),x(t₂),…,x(t_n) in data point sequentially carry out scanning for the first time, when the scanning reaching to set stops During condition, stop primary scanning, the data subsequence of scanning for the first time is approximated with a line segment, from scanning for the first time Data subsequence after first data point proceed by similar secondary scanning, until scanning through the whole unit interval The data sequence of section；By the slope of end time of the initial time of Article 1 line segment, afterwards every line segment and every line segment with Intercept is as compression data corresponding to the data sequence of unit interval section and exports；

Wherein, the described scanning stop condition set as: when scanning a data point [t_k, x (t_k)], in these data Point [t_k, x (t_k)] before all data points can be carried out approximate description by a line segment, and meet error precision requirement, and plus number Strong point [t_k, x (t_k)] after, do not exist line segment energy approximate description the most all not by the data point of approximate description time, stop Scanning；

Described error precision requires:

$|x\left(t_j\right)-\[x\left(t_{\mathrm{\α}}\right)+\frac{x\left(t_{k-1}\right)-x\left(t_{\mathrm{\α}}\right)}{t_{k-1}-t_{\mathrm{\α}}}(t_j-t_{\mathrm{\α}})\]|\≤\mathrm{\ϵ}$

Wherein, if described data point [t_k, x (t_k)] before subsequence be X={x (t_α),x(t_α+1),…,x(t_k-1), X (t in formula_j) it is at t_jThe actual value in (α≤j≤k-1) moment.

This preferred embodiment arranges data processing unit 4, carries out data scanning by the scanning stop condition set, it is possible to In linear session, the line segment number of use minimal number carrys out the data sequence of a unit interval section of approximate description perception data And ensure error precision requirement, then by end time and the every line of the initial time of Article 1 line segment, afterwards every line segment Slope and the intercept of section is as compression data corresponding to the data sequence of unit interval section and exports, thus decreases and need transmission Data volume, reduce the energy expenditure that data transmit, thus relatively reduce the communication overhead of wireless sensor network node； Propose the formula that error precision requires, it is ensured that the precision of data compression, and improve the speed of data scanning.

Preferably, described data receipt unit 5 is built by wireless sensor network sink node, described wireless sensing After device network aggregation node receives, based on the Data Transport Protocol ensureing weighted-fair, the compression that each sensor node is corresponding Perception data, and the perception data after compression corresponding for the sensor node of reception is sent to high-performance computer processes And analysis, it is achieved the collection of wireless data；

Wherein, the Data Transport Protocol of described guarantee weighted-fair is:

Described wireless sensor network sink node receives right from sensor node i in certain unit interval section [0, t] Quantity S of the perception data after the compression answered_i,tNeed to meet following fairness metric condition:

$\frac{{({\mathrm{\Σ}}_{i=1}^N{S}_{i,t}/w_i)}^2}{{\mathrm{N\Σ}}_{i=1}^N{(S_{i,t}/w_i)}^2}\≥1-{(10\mathrm{\γ}/9)}^2$

In formula, w_iThe weights characterizing its data significance level of the sensor node i for setting, N is sensor node Sum, γ is constant, and its span is (0,0.2).

This preferred embodiment wireless sensor network sink node connects based on the Data Transport Protocol ensureing weighted-fair Receive the perception data after the compression that each sensor node is corresponding, enable wireless sensor network sink node from important sensing Device node receives more perception data, it is ensured that while the efficiency of data transmission, improve the fairness of data transmission.

Preferably, described data transfer unit 6 transfers data to user by network, single including closely transmitting son Unit, telecommunication subelement and switching subelement, described short-range communication subelement use zigbee protocol communication, described far Distance communication subelement uses wireless communication, and under normal circumstances, user passes through short-range communication submodule from computer control End processed obtains monitoring information, and when user goes out, switching subelement starts telecommunication subelement, controls end to user mobile phone Long Distant Transmit monitoring information.

This preferred embodiment arranges data transfer unit 6, it is possible to select communication mode according to user distance, it is achieved that in real time Monitoring.

In this application scenarios, limit of error is that ε takes 0.4, and monitoring velocity improves 10% relatively, and monitoring accuracy carries relatively High by 12%.

Application scenarios 2

Seeing Fig. 1, Fig. 2, a kind of intelligent home service system of an embodiment of this application scene, including Smart Home Control terminal, cluster server, user control end and data acquisition module, and described data acquisition module includes that sensor location is single Unit 1, sensor network optimize unit 2, data monitoring unit 3, data processing unit 4, data receipt unit 5 and data and transmit single Unit 6, described intelligent household control terminal, cluster server, user control to be connected by network between end, data acquisition module.

Preferably, the server zone that described cluster server is made up of database server and multiple application server.

The above embodiment of the present invention brings many convenience can to Smart Home user, and people can control respectively whenever and wherever possible Home equipment, and monitor domestic environment, resource utilization is high, one-tenth wood is low, performance good, stability is high, is one and with multi-user is The intelligent home service system of service object.

Preferably, described user controls end and includes that mobile phone controls end and computer and controls end.

This preferred embodiment is convenient to be implemented, it is simple to be monitored domestic environment comprehensively.

Preferably, described transducer position unit 1 is used for positioning unknown sensor network nodes, localization method As follows:

(1) integrated GPS positioning chip on minority sensor node, these sensor nodes obtain by receiving gps signal Take self-position and become known location node, as the location base of other unknown position nodes；

(2) ask for four mutual distances of known location node and jumping figure, calculate the distance averagely often jumped；

(3) for unknown position nodes X, use it to jumping figure and (2) of four known location nodes averagely often jump Distance is multiplied the distance obtaining unknown position node to four known location nodes；

(4) by the way of combination in any, choose wherein three known location nodes, for each combination, survey according to three limits Its position of mensuration acquisition, then produce four result of calculations, ask for mean place as unknown position node final position.

This preferred embodiment arranges transducer position unit 1, it is simple to obtains the source, position of Monitoring Data, uses GPS fixed Position chip and the method for three limit positioning combination, both saved cost, and can obtain again good locating effect.

Preferably, described sensor network optimization unit 2 uses heredity-ant colony optimization algorithm to calculate sensor network route Method is optimized, and concrete grammar is as follows:

(1) stochastic generation network topology structure of wireless sensor；

(2) set the parameter of genetic algorithm, use genetic algorithm to simplify sensor network, form new network topology knot Structure；

(3) ant group algorithm pheromone is initialized according to genetic algorithm result；

(4) set ant group algorithm parameter, use ant group algorithm optimal path is scanned for and updates.

Sensor network is optimized by this preferred embodiment, limited ensureing that whole wireless sensor network performance declines In the case of, improve network energy-saving effect, extend the life-span of network.

Preferably, described data monitoring unit 3 for by the sensor node built by each sensor cooperate into The monitoring in certain region of row, and export the perception data of each sensor node monitoring；

Described data processing unit 4 is compressed processing for the perception data monitoring each sensor node, including:

If the data sequence of described perception data unit interval section is X={x (t₁),x(t₂),…,x(t_n), its Middle t_i(1≤i≤n) express time stabs, x (t_i) represent at t_iThe monitor value that (1≤i≤n) certain node of moment produces, sets by mistake Difference boundary be ε, limit of error be the span of ε be [0.4,0.8], from first data point [t₁, x (t₁)] start, to data Sequence X={ x (t₁),x(t₂),…,x(t_n) in data point sequentially carry out scanning for the first time, when the scanning reaching to set stops During condition, stop primary scanning, the data subsequence of scanning for the first time is approximated with a line segment, from scanning for the first time Data subsequence after first data point proceed by similar secondary scanning, until scanning through the whole unit interval The data sequence of section；By the slope of end time of the initial time of Article 1 line segment, afterwards every line segment and every line segment with Intercept is as compression data corresponding to the data sequence of unit interval section and exports；

Wherein, the described scanning stop condition set as: when scanning a data point [t_k, x (t_k)], in these data Point [t_k, x (t_k)] before all data points can be carried out approximate description by a line segment, and meet error precision requirement, and plus number Strong point [t_k, x (t_k)] after, do not exist line segment energy approximate description the most all not by the data point of approximate description time, stop Scanning；

Described error precision requires:

$|x\left(t_j\right)-\[x\left(t_{\mathrm{\α}}\right)+\frac{x\left(t_{k-1}\right)-x\left(t_{\mathrm{\α}}\right)}{t_{k-1}-t_{\mathrm{\α}}}(t_j-t_{\mathrm{\α}})\]|\≤\mathrm{\ϵ}$

Wherein, if described data point [t_k, x (t_k)] before subsequence be X={x (t_α),x(t_α+1),…,x(t_k-1), X (t in formula_j) it is at t_jThe actual value in (α≤j≤k-1) moment.

This preferred embodiment arranges data processing unit 4, carries out data scanning by the scanning stop condition set, it is possible to In linear session, the line segment number of use minimal number carrys out the data sequence of a unit interval section of approximate description perception data And ensure error precision requirement, then by end time and the every line of the initial time of Article 1 line segment, afterwards every line segment Slope and the intercept of section is as compression data corresponding to the data sequence of unit interval section and exports, thus decreases and need transmission Data volume, reduce the energy expenditure that data transmit, thus relatively reduce the communication overhead of wireless sensor network node； Propose the formula that error precision requires, it is ensured that the precision of data compression, and improve the speed of data scanning.

Preferably, described data receipt unit 5 is built by wireless sensor network sink node, described wireless sensing After device network aggregation node receives, based on the Data Transport Protocol ensureing weighted-fair, the compression that each sensor node is corresponding Perception data, and the perception data after compression corresponding for the sensor node of reception is sent to high-performance computer processes And analysis, it is achieved the collection of wireless data；

Wherein, the Data Transport Protocol of described guarantee weighted-fair is:

Described wireless sensor network sink node receives right from sensor node i in certain unit interval section [0, t] Quantity S of the perception data after the compression answered_i,tNeed to meet following fairness metric condition:

$\frac{{({\mathrm{\Σ}}_{i=1}^N{S}_{i,t}/w_i)}^2}{{\mathrm{N\Σ}}_{i=1}^N{(S_{i,t}/w_i)}^2}\≥1-{(10\mathrm{\γ}/9)}^2$

In formula, w_iThe weights characterizing its data significance level of the sensor node i for setting, N is sensor node Sum, γ is constant, and its span is (0,0.2).

This preferred embodiment wireless sensor network sink node connects based on the Data Transport Protocol ensureing weighted-fair Receive the perception data after the compression that each sensor node is corresponding, enable wireless sensor network sink node from important sensing Device node receives more perception data, it is ensured that while the efficiency of data transmission, improve the fairness of data transmission.

Preferably, described data transfer unit 6 transfers data to user by network, single including closely transmitting son Unit, telecommunication subelement and switching subelement, described short-range communication subelement use zigbee protocol communication, described far Distance communication subelement uses wireless communication, and under normal circumstances, user passes through short-range communication submodule from computer control End processed obtains monitoring information, and when user goes out, switching subelement starts telecommunication subelement, controls end to user mobile phone Long Distant Transmit monitoring information.

This preferred embodiment arranges data transfer unit 6, it is possible to select communication mode according to user distance, it is achieved that in real time Monitoring.

In this application scenarios, limit of error is that ε takes 0.5, and monitoring velocity improves 11% relatively, and monitoring accuracy carries relatively High by 11%.

Application scenarios 3

Seeing Fig. 1, Fig. 2, a kind of intelligent home service system of an embodiment of this application scene, including Smart Home Control terminal, cluster server, user control end and data acquisition module, and described data acquisition module includes that sensor location is single Unit 1, sensor network optimize unit 2, data monitoring unit 3, data processing unit 4, data receipt unit 5 and data and transmit single Unit 6, described intelligent household control terminal, cluster server, user control to be connected by network between end, data acquisition module.

Preferably, the server zone that described cluster server is made up of database server and multiple application server.

The above embodiment of the present invention brings many convenience can to Smart Home user, and people can control respectively whenever and wherever possible Home equipment, and monitor domestic environment, resource utilization is high, one-tenth wood is low, performance good, stability is high, is one and with multi-user is The intelligent home service system of service object.

Preferably, described user controls end and includes that mobile phone controls end and computer and controls end.

This preferred embodiment is convenient to be implemented, it is simple to be monitored domestic environment comprehensively.

Preferably, described transducer position unit 1 is used for positioning unknown sensor network nodes, localization method As follows:

(1) integrated GPS positioning chip on minority sensor node, these sensor nodes obtain by receiving gps signal Take self-position and become known location node, as the location base of other unknown position nodes；

(2) ask for four mutual distances of known location node and jumping figure, calculate the distance averagely often jumped；

(3) for unknown position nodes X, use it to jumping figure and (2) of four known location nodes averagely often jump Distance is multiplied the distance obtaining unknown position node to four known location nodes；

(4) by the way of combination in any, choose wherein three known location nodes, for each combination, survey according to three limits Its position of mensuration acquisition, then produce four result of calculations, ask for mean place as unknown position node final position.

This preferred embodiment arranges transducer position unit 1, it is simple to obtains the source, position of Monitoring Data, uses GPS fixed Position chip and the method for three limit positioning combination, both saved cost, and can obtain again good locating effect.

Preferably, described sensor network optimization unit 2 uses heredity-ant colony optimization algorithm to calculate sensor network route Method is optimized, and concrete grammar is as follows:

(1) stochastic generation network topology structure of wireless sensor；

(2) set the parameter of genetic algorithm, use genetic algorithm to simplify sensor network, form new network topology knot Structure；

(3) ant group algorithm pheromone is initialized according to genetic algorithm result；

(4) set ant group algorithm parameter, use ant group algorithm optimal path is scanned for and updates.

Sensor network is optimized by this preferred embodiment, limited ensureing that whole wireless sensor network performance declines In the case of, improve network energy-saving effect, extend the life-span of network.

Preferably, described data monitoring unit 3 for by the sensor node built by each sensor cooperate into The monitoring in certain region of row, and export the perception data of each sensor node monitoring；

Described data processing unit 4 is compressed processing for the perception data monitoring each sensor node, including:

If the data sequence of described perception data unit interval section is X={x (t₁),x(t₂),…,x(t_n), its Middle t_i(1≤i≤n) express time stabs, x (t_i) represent at t_iThe monitor value that (1≤i≤n) certain node of moment produces, sets by mistake Difference boundary be ε, limit of error be the span of ε be [0.4,0.8], from first data point [t₁, x (t₁)] start, to data Sequence X={ x (t₁),x(t₂),…,x(t_n) in data point sequentially carry out scanning for the first time, when the scanning reaching to set stops During condition, stop primary scanning, the data subsequence of scanning for the first time is approximated with a line segment, from scanning for the first time Data subsequence after first data point proceed by similar secondary scanning, until scanning through the whole unit interval The data sequence of section；By the slope of end time of the initial time of Article 1 line segment, afterwards every line segment and every line segment with Intercept is as compression data corresponding to the data sequence of unit interval section and exports；

Wherein, the described scanning stop condition set as: when scanning a data point [t_k, x (t_k)], in these data Point [t_k, x (t_k)] before all data points can be carried out approximate description by a line segment, and meet error precision requirement, and plus number Strong point [t_k, x (t_k)] after, do not exist line segment energy approximate description the most all not by the data point of approximate description time, stop Scanning；

Described error precision requires:

$|x\left(t_j\right)-\[x\left(t_{\mathrm{\α}}\right)+\frac{x\left(t_{k-1}\right)-x\left(t_{\mathrm{\α}}\right)}{t_{k-1}-t_{\mathrm{\α}}}(t_j-t_{\mathrm{\α}})\]|\≤\mathrm{\ϵ}$

Wherein, if described data point [t_k, x (t_k)] before subsequence be X={x (t_α),x(t_α+1),…,x(t_k-1), X (t in formula_j) it is at t_jThe actual value in (α≤j≤k-1) moment.

This preferred embodiment arranges data processing unit 4, carries out data scanning by the scanning stop condition set, it is possible to In linear session, the line segment number of use minimal number carrys out the data sequence of a unit interval section of approximate description perception data And ensure error precision requirement, then by end time and the every line of the initial time of Article 1 line segment, afterwards every line segment Slope and the intercept of section is as compression data corresponding to the data sequence of unit interval section and exports, thus decreases and need transmission Data volume, reduce the energy expenditure that data transmit, thus relatively reduce the communication overhead of wireless sensor network node； Propose the formula that error precision requires, it is ensured that the precision of data compression, and improve the speed of data scanning.

Preferably, described data receipt unit 5 is built by wireless sensor network sink node, described wireless sensing After device network aggregation node receives, based on the Data Transport Protocol ensureing weighted-fair, the compression that each sensor node is corresponding Perception data, and the perception data after compression corresponding for the sensor node of reception is sent to high-performance computer processes And analysis, it is achieved the collection of wireless data；

Wherein, the Data Transport Protocol of described guarantee weighted-fair is:

Described wireless sensor network sink node receives right from sensor node i in certain unit interval section [0, t] Quantity S of the perception data after the compression answered_i,tNeed to meet following fairness metric condition:

$\frac{{({\mathrm{\Σ}}_{i=1}^N{S}_{i,t}/w_i)}^2}{{\mathrm{N\Σ}}_{i=1}^N{(S_{i,t}/w_i)}^2}\≥1-{(10\mathrm{\γ}/9)}^2$

In formula, w_iThe weights characterizing its data significance level of the sensor node i for setting, N is sensor node Sum, γ is constant, and its span is (0,0.2).

This preferred embodiment wireless sensor network sink node connects based on the Data Transport Protocol ensureing weighted-fair Receive the perception data after the compression that each sensor node is corresponding, enable wireless sensor network sink node from important sensing Device node receives more perception data, it is ensured that while the efficiency of data transmission, improve the fairness of data transmission.

Preferably, described data transfer unit 6 transfers data to user by network, single including closely transmitting son Unit, telecommunication subelement and switching subelement, described short-range communication subelement use zigbee protocol communication, described far Distance communication subelement uses wireless communication, and under normal circumstances, user passes through short-range communication submodule from computer control End processed obtains monitoring information, and when user goes out, switching subelement starts telecommunication subelement, controls end to user mobile phone Long Distant Transmit monitoring information.

This preferred embodiment arranges data transfer unit 6, it is possible to select communication mode according to user distance, it is achieved that in real time Monitoring.

In this application scenarios, limit of error is that ε takes 0.6, and monitoring velocity improves 12% relatively, and monitoring accuracy carries relatively High by 10%.

Application scenarios 4

Seeing Fig. 1, Fig. 2, a kind of intelligent home service system of an embodiment of this application scene, including Smart Home Control terminal, cluster server, user control end and data acquisition module, and described data acquisition module includes that sensor location is single Unit 1, sensor network optimize unit 2, data monitoring unit 3, data processing unit 4, data receipt unit 5 and data and transmit single Unit 6, described intelligent household control terminal, cluster server, user control to be connected by network between end, data acquisition module.

Preferably, the server zone that described cluster server is made up of database server and multiple application server.

The above embodiment of the present invention brings many convenience can to Smart Home user, and people can control respectively whenever and wherever possible Home equipment, and monitor domestic environment, resource utilization is high, one-tenth wood is low, performance good, stability is high, is one and with multi-user is The intelligent home service system of service object.

Preferably, described user controls end and includes that mobile phone controls end and computer and controls end.

This preferred embodiment is convenient to be implemented, it is simple to be monitored domestic environment comprehensively.

Preferably, described transducer position unit 1 is used for positioning unknown sensor network nodes, localization method As follows:

(1) integrated GPS positioning chip on minority sensor node, these sensor nodes obtain by receiving gps signal Take self-position and become known location node, as the location base of other unknown position nodes；

(2) ask for four mutual distances of known location node and jumping figure, calculate the distance averagely often jumped；

(3) for unknown position nodes X, use it to jumping figure and (2) of four known location nodes averagely often jump Distance is multiplied the distance obtaining unknown position node to four known location nodes；

(4) by the way of combination in any, choose wherein three known location nodes, for each combination, survey according to three limits Its position of mensuration acquisition, then produce four result of calculations, ask for mean place as unknown position node final position.

This preferred embodiment arranges transducer position unit 1, it is simple to obtains the source, position of Monitoring Data, uses GPS fixed Position chip and the method for three limit positioning combination, both saved cost, and can obtain again good locating effect.

Preferably, described sensor network optimization unit 2 uses heredity-ant colony optimization algorithm to calculate sensor network route Method is optimized, and concrete grammar is as follows:

(1) stochastic generation network topology structure of wireless sensor；

(2) set the parameter of genetic algorithm, use genetic algorithm to simplify sensor network, form new network topology knot Structure；

(3) ant group algorithm pheromone is initialized according to genetic algorithm result；

(4) set ant group algorithm parameter, use ant group algorithm optimal path is scanned for and updates.

Sensor network is optimized by this preferred embodiment, limited ensureing that whole wireless sensor network performance declines In the case of, improve network energy-saving effect, extend the life-span of network.

Preferably, described data monitoring unit 3 for by the sensor node built by each sensor cooperate into The monitoring in certain region of row, and export the perception data of each sensor node monitoring；

Described data processing unit 4 is compressed processing for the perception data monitoring each sensor node, including:

If the data sequence of described perception data unit interval section is X={x (t₁),x(t₂),…,x(t_n), its Middle t_i(1≤i≤n) express time stabs, x (t_i) represent at t_iThe monitor value that (1≤i≤n) certain node of moment produces, sets by mistake Difference boundary be ε, limit of error be the span of ε be [0.4,0.8], from first data point [t₁, x (t₁)] start, to data Sequence X={ x (t₁),x(t₂),…,x(t_n) in data point sequentially carry out scanning for the first time, when the scanning reaching to set stops During condition, stop primary scanning, the data subsequence of scanning for the first time is approximated with a line segment, from scanning for the first time Data subsequence after first data point proceed by similar secondary scanning, until scanning through the whole unit interval The data sequence of section；By the slope of end time of the initial time of Article 1 line segment, afterwards every line segment and every line segment with Intercept is as compression data corresponding to the data sequence of unit interval section and exports；

Wherein, the described scanning stop condition set as: when scanning a data point [t_k, x (t_k)], in these data Point [t_k, x (t_k)] before all data points can be carried out approximate description by a line segment, and meet error precision requirement, and plus number Strong point [t_k, x (t_k)] after, do not exist line segment energy approximate description the most all not by the data point of approximate description time, stop Scanning；

Described error precision requires:

$|x\left(t_j\right)-\[x\left(t_{\mathrm{\α}}\right)+\frac{x\left(t_{k-1}\right)-x\left(t_{\mathrm{\α}}\right)}{t_{k-1}-t_{\mathrm{\α}}}(t_j-t_{\mathrm{\α}})\]|\≤\mathrm{\ϵ}$

Wherein, if described data point [t_k, x (t_k)] before subsequence be X={x (t_α),x(t_α+1),…,x(t_k-1), X (t in formula_j) it is at t_jThe actual value in (α≤j≤k-1) moment.

This preferred embodiment arranges data processing unit 4, carries out data scanning by the scanning stop condition set, it is possible to In linear session, the line segment number of use minimal number carrys out the data sequence of a unit interval section of approximate description perception data And ensure error precision requirement, then by end time and the every line of the initial time of Article 1 line segment, afterwards every line segment Slope and the intercept of section is as compression data corresponding to the data sequence of unit interval section and exports, thus decreases and need transmission Data volume, reduce the energy expenditure that data transmit, thus relatively reduce the communication overhead of wireless sensor network node； Propose the formula that error precision requires, it is ensured that the precision of data compression, and improve the speed of data scanning.

Preferably, described data receipt unit 5 is built by wireless sensor network sink node, described wireless sensing After device network aggregation node receives, based on the Data Transport Protocol ensureing weighted-fair, the compression that each sensor node is corresponding Perception data, and the perception data after compression corresponding for the sensor node of reception is sent to high-performance computer processes And analysis, it is achieved the collection of wireless data；

Wherein, the Data Transport Protocol of described guarantee weighted-fair is:

Described wireless sensor network sink node receives right from sensor node i in certain unit interval section [0, t] Quantity S of the perception data after the compression answered_i,tNeed to meet following fairness metric condition:

$\frac{{({\mathrm{\Σ}}_{i=1}^N{S}_{i,t}/w_i)}^2}{{\mathrm{N\Σ}}_{i=1}^N{(S_{i,t}/w_i)}^2}\≥1-{(10\mathrm{\γ}/9)}^2$

In formula, w_iThe weights characterizing its data significance level of the sensor node i for setting, N is sensor node Sum, γ is constant, and its span is (0,0.2).

This preferred embodiment wireless sensor network sink node connects based on the Data Transport Protocol ensureing weighted-fair Receive the perception data after the compression that each sensor node is corresponding, enable wireless sensor network sink node from important sensing Device node receives more perception data, it is ensured that while the efficiency of data transmission, improve the fairness of data transmission.

Preferably, described data transfer unit 6 transfers data to user by network, single including closely transmitting son Unit, telecommunication subelement and switching subelement, described short-range communication subelement use zigbee protocol communication, described far Distance communication subelement uses wireless communication, and under normal circumstances, user passes through short-range communication submodule from computer control End processed obtains monitoring information, and when user goes out, switching subelement starts telecommunication subelement, controls end to user mobile phone Long Distant Transmit monitoring information.

This preferred embodiment arranges data transfer unit 6, it is possible to select communication mode according to user distance, it is achieved that in real time Monitoring.

In this application scenarios, limit of error is that ε takes 0.7, and monitoring velocity improves 13% relatively, and monitoring accuracy carries relatively High by 9%.

Application scenarios 5

Seeing Fig. 1, Fig. 2, a kind of intelligent home service system of an embodiment of this application scene, including Smart Home Control terminal, cluster server, user control end and data acquisition module, and described data acquisition module includes that sensor location is single Unit 1, sensor network optimize unit 2, data monitoring unit 3, data processing unit 4, data receipt unit 5 and data and transmit single Unit 6, described intelligent household control terminal, cluster server, user control to be connected by network between end, data acquisition module.

Preferably, the server zone that described cluster server is made up of database server and multiple application server.

The above embodiment of the present invention brings many convenience can to Smart Home user, and people can control respectively whenever and wherever possible Home equipment, and monitor domestic environment, resource utilization is high, one-tenth wood is low, performance good, stability is high, is one and with multi-user is The intelligent home service system of service object.

Preferably, described user controls end and includes that mobile phone controls end and computer and controls end.

This preferred embodiment is convenient to be implemented, it is simple to be monitored domestic environment comprehensively.

Preferably, described transducer position unit 1 is used for positioning unknown sensor network nodes, localization method As follows:

(1) integrated GPS positioning chip on minority sensor node, these sensor nodes obtain by receiving gps signal Take self-position and become known location node, as the location base of other unknown position nodes；

(2) ask for four mutual distances of known location node and jumping figure, calculate the distance averagely often jumped；

(3) for unknown position nodes X, use it to jumping figure and (2) of four known location nodes averagely often jump Distance is multiplied the distance obtaining unknown position node to four known location nodes；

(4) by the way of combination in any, choose wherein three known location nodes, for each combination, survey according to three limits Its position of mensuration acquisition, then produce four result of calculations, ask for mean place as unknown position node final position.

This preferred embodiment arranges transducer position unit 1, it is simple to obtains the source, position of Monitoring Data, uses GPS fixed Position chip and the method for three limit positioning combination, both saved cost, and can obtain again good locating effect.

Preferably, described sensor network optimization unit 2 uses heredity-ant colony optimization algorithm to calculate sensor network route Method is optimized, and concrete grammar is as follows:

(1) stochastic generation network topology structure of wireless sensor；

(2) set the parameter of genetic algorithm, use genetic algorithm to simplify sensor network, form new network topology knot Structure；

(3) ant group algorithm pheromone is initialized according to genetic algorithm result；

(4) set ant group algorithm parameter, use ant group algorithm optimal path is scanned for and updates.

Sensor network is optimized by this preferred embodiment, limited ensureing that whole wireless sensor network performance declines In the case of, improve network energy-saving effect, extend the life-span of network.

Preferably, described data monitoring unit 3 for by the sensor node built by each sensor cooperate into The monitoring in certain region of row, and export the perception data of each sensor node monitoring；

Described data processing unit 4 is compressed processing for the perception data monitoring each sensor node, including:

If the data sequence of described perception data unit interval section is X={x (t₁),x(t₂),…,x(t_n), its Middle t_i(1≤i≤n) express time stabs, x (t_i) represent at t_iThe monitor value that (1≤i≤n) certain node of moment produces, sets by mistake Difference boundary be ε, limit of error be the span of ε be [0.4,0.8], from first data point [t₁, x (t₁)] start, to data Sequence X={ x (t₁),x(t₂),…,x(t_n) in data point sequentially carry out scanning for the first time, when the scanning reaching to set stops During condition, stop primary scanning, the data subsequence of scanning for the first time is approximated with a line segment, from scanning for the first time Data subsequence after first data point proceed by similar secondary scanning, until scanning through the whole unit interval The data sequence of section；By the slope of end time of the initial time of Article 1 line segment, afterwards every line segment and every line segment with Intercept is as compression data corresponding to the data sequence of unit interval section and exports；

Wherein, the described scanning stop condition set as: when scanning a data point [t_k, x (t_k)], in these data Point [t_k, x (t_k)] before all data points can be carried out approximate description by a line segment, and meet error precision requirement, and plus number Strong point [t_k, x (t_k)] after, do not exist line segment energy approximate description the most all not by the data point of approximate description time, stop Scanning；

Described error precision requires:

$|x\left(t_j\right)-\[x\left(t_{\mathrm{\α}}\right)+\frac{x\left(t_{k-1}\right)-x\left(t_{\mathrm{\α}}\right)}{t_{k-1}-t_{\mathrm{\α}}}(t_j-t_{\mathrm{\α}})\]|\≤\mathrm{\ϵ}$

Wherein, if described data point [t_k, x (t_k)] before subsequence be X={x (t_α),x(t_α+1),…,x(t_k-1), X (t in formula_j) it is at t_jThe actual value in (α≤j≤k-1) moment.

This preferred embodiment arranges data processing unit 4, carries out data scanning by the scanning stop condition set, it is possible to In linear session, the line segment number of use minimal number carrys out the data sequence of a unit interval section of approximate description perception data And ensure error precision requirement, then by end time and the every line of the initial time of Article 1 line segment, afterwards every line segment Slope and the intercept of section is as compression data corresponding to the data sequence of unit interval section and exports, thus decreases and need transmission Data volume, reduce the energy expenditure that data transmit, thus relatively reduce the communication overhead of wireless sensor network node； Propose the formula that error precision requires, it is ensured that the precision of data compression, and improve the speed of data scanning.

Preferably, described data receipt unit 5 is built by wireless sensor network sink node, described wireless sensing After device network aggregation node receives, based on the Data Transport Protocol ensureing weighted-fair, the compression that each sensor node is corresponding Perception data, and the perception data after compression corresponding for the sensor node of reception is sent to high-performance computer processes And analysis, it is achieved the collection of wireless data；

Wherein, the Data Transport Protocol of described guarantee weighted-fair is:

Described wireless sensor network sink node receives right from sensor node i in certain unit interval section [0, t] Quantity S of the perception data after the compression answered_i,tNeed to meet following fairness metric condition:

$\frac{{({\mathrm{\Σ}}_{i=1}^N{S}_{i,t}/w_i)}^2}{{\mathrm{N\Σ}}_{i=1}^N{(S_{i,t}/w_i)}^2}\≥1-{(10\mathrm{\γ}/9)}^2$

In formula, w_iThe weights characterizing its data significance level of the sensor node i for setting, N is sensor node Sum, γ is constant, and its span is (0,0.2).

This preferred embodiment wireless sensor network sink node connects based on the Data Transport Protocol ensureing weighted-fair Receive the perception data after the compression that each sensor node is corresponding, enable wireless sensor network sink node from important sensing Device node receives more perception data, it is ensured that while the efficiency of data transmission, improve the fairness of data transmission.

Preferably, described data transfer unit 6 transfers data to user by network, single including closely transmitting son Unit, telecommunication subelement and switching subelement, described short-range communication subelement use zigbee protocol communication, described far Distance communication subelement uses wireless communication, and under normal circumstances, user passes through short-range communication submodule from computer control End processed obtains monitoring information, and when user goes out, switching subelement starts telecommunication subelement, controls end to user mobile phone Long Distant Transmit monitoring information.

This preferred embodiment arranges data transfer unit 6, it is possible to select communication mode according to user distance, it is achieved that in real time Monitoring.

In this application scenarios, limit of error is that ε takes 0.8, and monitoring velocity improves 14% relatively, and monitoring accuracy carries relatively High by 8%.

Last it should be noted that, above example is only in order to illustrate technical scheme, rather than the present invention is protected Protecting the restriction of scope, although having made to explain to the present invention with reference to preferred embodiment, those of ordinary skill in the art should Work as understanding, technical scheme can be modified or equivalent, without deviating from the reality of technical solution of the present invention Matter and scope.

Claims (3)

1. an intelligent home service system, it is characterised in that include intelligent household control terminal, cluster server, user's control End processed and data acquisition module, described intelligent household control terminal, cluster server, user control end, data acquisition module it Between connected by network.

A kind of intelligent home service system the most according to claim 1, it is characterised in that described cluster server is by counting The server zone formed according to storehouse server and multiple application server.

A kind of intelligent home service system the most according to claim 2, it is characterised in that described user controls end and includes hands Machine controls end and computer controls end.