CN109405194A - Indoor environment intelligence real-time management system - Google Patents
Indoor environment intelligence real-time management system Download PDFInfo
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- CN109405194A CN109405194A CN201811218843.3A CN201811218843A CN109405194A CN 109405194 A CN109405194 A CN 109405194A CN 201811218843 A CN201811218843 A CN 201811218843A CN 109405194 A CN109405194 A CN 109405194A
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- indoor environment
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Classifications
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/50—Control or safety arrangements characterised by user interfaces or communication
- F24F11/56—Remote control
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
- F24F11/63—Electronic processing
- F24F11/64—Electronic processing using pre-stored data
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/70—Control systems characterised by their outputs; Constructional details thereof
- F24F11/72—Control systems characterised by their outputs; Constructional details thereof for controlling the supply of treated air, e.g. its pressure
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- Engineering & Computer Science (AREA)
- Chemical & Material Sciences (AREA)
- Combustion & Propulsion (AREA)
- Mechanical Engineering (AREA)
- General Engineering & Computer Science (AREA)
- Signal Processing (AREA)
- Human Computer Interaction (AREA)
- Physics & Mathematics (AREA)
- Fuzzy Systems (AREA)
- Mathematical Physics (AREA)
- Selective Calling Equipment (AREA)
Abstract
The present invention provides indoor environment intelligence real-time management systems, including perception subsystem, temperature equipment, ventilation equipment, remote computer analytical equipment, wherein perception subsystem, temperature equipment, ventilation equipment are all connect with remote computer analytical equipment；The perception subsystem is configured as carrying out indoor environment real-time monitoring, and acquisition indoor environment Data Concurrent is sent to remote computer analytical equipment；The remote computer analytical equipment is configured as being analyzed and processed received indoor environment data, generates corresponding control instruction, and the operation of temperature equipment and ventilation equipment is controlled according to control instruction；The perception subsystem includes the wireless sensor network being made of aggregation node and multiple sensor nodes, the indoor environment data of acquisition are transmitted to aggregation node by sensor node, and aggregation node is communicated with remote computer analytical equipment received indoor environment data are transmitted to the remote computer analytical equipment.
Description
Technical field
The present invention relates to smart home fields, and in particular to indoor environment intelligence real-time management system.
Background technique
Raising with people to home comfort health requirements, the concept of smart home are gradually suggested and receive, intelligence
Household is usually to merge individual character using advanced computer network communication technology, comprehensive wiring technology and base of principle of human engineering
Subsystems related with home life are organically combined together by demand, are controlled and are managed by comprehensive intelligent, are realized
Completely new home life experience, refrigeration and heating is a major issue in family life at present, is had to people's lives comfort great
It influences, however refrigeration and heating needs to be adjusted according to the impression real-time perfoming of human body, common collective has for warm air conditioner refrigerating
Significant limitation cannot carry out temperature adjusting in time.
Summary of the invention
In view of the above-mentioned problems, the present invention provides indoor environment intelligence real-time management system.
The purpose of the present invention is realized using following technical scheme:
Provide indoor environment intelligence real-time management system, including perception subsystem, temperature equipment, ventilation equipment, long-range
Computer analytical equipment, wherein perception subsystem, temperature equipment, ventilation equipment are all connect with remote computer analytical equipment；Institute
It states perception subsystem to be configured as carrying out indoor environment real-time monitoring, acquisition indoor environment Data Concurrent is sent to remote computer
Analytical equipment；The remote computer analytical equipment is configured as being analyzed and processed received indoor environment data, raw
At corresponding control instruction, and according to the operation of control instruction control temperature equipment and ventilation equipment；The perception subsystem packet
Include the wireless sensor network being made of aggregation node and multiple sensor nodes, sensor node is by the indoor environment number of acquisition
According to aggregation node is transmitted to, aggregation node is communicated with remote computer analytical equipment to be transmitted to received indoor environment data
The remote computer analytical equipment
In a kind of mode that can be realized, the remote computer analytical equipment includes processor, the first control mould
Block, the second control module, wherein the input terminal of the first control module, the second control module is all connect with processor, the first control
The output end of module is connect with temperature equipment, and the output end of the second control module is connect with ventilation equipment.
The invention has the benefit that carrying out the acquisition of indoor environment data using wireless sensor network technology, avoid
The trouble of wiring, intelligent quick；By being analyzed and processed to collected indoor environment data, according to indoor environment data control
The operation of temperature equipment and ventilation equipment processed realizes the adjusting of household temperature and air circulation, allows people can when going back home
To enjoy comfortable environment, of simple structure and strong practicability.
Detailed description of the invention
The present invention will be further described with reference to the accompanying drawings, but the embodiment in attached drawing is not constituted to any limit of the invention
System, for those of ordinary skill in the art, without creative efforts, can also obtain according to the following drawings
Other attached drawings.
Fig. 1 is the indoor environment intelligence real-time management system structural schematic block diagram of an illustrative embodiment of the invention；
Fig. 2 is the structural schematic block diagram of the remote computer analytical equipment of an illustrative embodiment of the invention.
Appended drawing reference:
Subsystem 1, temperature equipment 2, ventilation equipment 3, remote computer analytical equipment 4, processor 10, first is perceived to control
Module 20, the second control module 30.
Specific embodiment
The invention will be further described with the following Examples.
Fig. 1 is the indoor environment intelligence real-time management system structural schematic block diagram of one embodiment of the invention.Referring to Fig. 1,
Indoor environment intelligence real-time management system provided in this embodiment includes perception subsystem 1, temperature equipment 2, ventilation equipment 3, remote
Journey computer analytical equipment 4, wherein perception subsystem 1, temperature equipment 2, ventilation equipment 3 all with remote computer analytical equipment 4
Connection.
Wherein, perception subsystem 1 is configured as carrying out indoor environment real-time monitoring, and acquisition indoor environment Data Concurrent is sent
To remote computer analytical equipment 4.The perception subsystem 1 include be made of aggregation node and multiple sensor nodes it is wireless
The indoor environment data of acquisition are transmitted to aggregation node, aggregation node and remote computer by sensor network, sensor node
Analytical equipment 4 is communicated so that received indoor environment data are transmitted to the remote computer analytical equipment 4.The present embodiment utilizes nothing
Line sensor network technique carries out the acquisition of indoor environment data, avoids wiring, implements simple.
Wherein, sensor node includes acquisition unit, analysis and processing unit and communication unit；Acquisition unit is by sensor
It is completed with analog-digital converter, analysis and processing unit is completed by microprocessor and memory, and communication unit is completed by wireless transceiver.
Wherein, sensor is temperature sensor and/or distinguished and admirable sensor.
Remote computer analytical equipment 4 is configured as being analyzed and processed received indoor environment data, generates corresponding
Control instruction, and according to control instruction control temperature equipment 2 and ventilation equipment 3 operation.
In the mode that one kind can be implemented, as shown in Fig. 2, remote computer analytical equipment 4 includes processor 10, first
Control module 20, the second control module 30, wherein the input terminal of the first control module 20, the second control module 30 all with processor
10 connections, the output end of the first control module 20 are connect with temperature equipment 2, the output end and ventilation equipment of the second control module 30
3 connections.
Processor 10 is analyzed and processed received indoor environment data, by received indoor environment data with it is preset
Index is compared, and generates control instruction according to the result of the comparison, and control instruction is sent to the first control module 20, second
Control module 30, and then by the first control module 20, the operation of the second control module 30 control temperature equipment 2 and ventilation equipment 3.
Optionally, control instruction is generated according to the result of the comparison, for example, when the room temperature that perception subsystem 1 acquires is super
When crossing the preset data threshold upper limit, processor 10 sends to the first control module 20 and turns down the control instruction of temperature, and to the
Two control modules 30 send the control instruction of starting air-supply, and then the first control module 20 controls temperature equipment according to control instruction
2 carry out cold source offer, and the second control module 30 controls ventilation equipment 3 according to control instruction and conveys wind, thus by room temperature control
System is within the appropriate range.And when the room temperature for perceiving the acquisition of subsystem 1 is lower than preset data threshold lower limit, processor
10 send the control instruction that temperature is turned up to the first control module 20, and the control for closing air-supply is sent to the second control module 30
Instruction, and then the first control module 20 controls temperature equipment 2 according to control instruction and carries out heat source offer, the second control module 30
Pushing wind manipulation is no longer carried out according to control instruction control ventilation equipment 3.
Optionally, temperature equipment 2 connects earth source heat pump, and earth source heat pump provides heat source and cold source, and the first control module 20 can
Temperature equipment 2 is controlled according to control instruction, earth source heat pump offer heat source or cold source are provided, thus by room temperature control suitable
In suitable range.
In another optional mode, temperature equipment 2 is air-conditioning, and the first control module 20 can be controlled according to control instruction
Temperature equipment 2 conveys cold source or heat source.
Optionally, ventilation equipment 3 are ventilation device, and the second control module 30 is by controlling the opening and closing of ventilation equipment 3 come real
Now ventilation or stuffy.
The above embodiment of the present invention carries out the acquisition of indoor environment data using wireless sensor network technology, avoids wiring
Trouble, intelligent quick；By being analyzed and processed to collected indoor environment data, is controlled and adjusted according to indoor environment data
The operation of warm equipment and ventilation equipment realizes the adjusting of household temperature and air circulation, people can enjoy when going back home
By comfortable environment, of simple structure and strong practicability.
Wherein, when netinit, cluster head is chosen from sensor node, and according to the cluster head of selection by sensor node
It is divided into multiple clusters；Sensor node acquires the indoor environment data of monitored position, and indoor environment data single-hop is sent to
Corresponding cluster head；Cluster head is responsible for the reception and processing of indoor environment data in cluster, and indoor environment data are sent by treated
To aggregation node.
In the mode that can implement of one kind, sensor node sends energy consumption and uses free space loss model, and cluster head
Multipath fading model is used when being communicated between aggregation node；Choose cluster head in the slave sensor node, and according to
Sensor node is divided into multiple clusters by the cluster head of selection, comprising:
(1) optimal cluster group number m is calculated according to the following formula:
In formula, δ1For the power amplifier coefficient of energy dissipation based on free space loss model, δ2For the power amplifier based on multipath fading model
Coefficient of energy dissipation, N are the sensor node number of deployment, and S is the area in the monitoring region, dCh, oFor sensor node to convergence
The average distance of node；m0For the cluster group number by expert according to the setting of monitoring region；λ1、λ2For preset weight coefficient, and it is full
Sufficient λ1+λ2=1；Int is bracket function；
(2) the monitoring region of setting is divided into m sub-regions, calculates the center of gravity position of each subregion according to the following formula
It sets:
In formula, ρiIndicate that the position of centre of gravity of i-th of subregion, i=1 ..., m, x (j) are indicated in i-th of subregion
The abscissa of j-th of sensor node position, y (j) are the ordinate of j-th of sensor node position,
In using aggregation node as coordinate origin, niThe sensor node number having for i-th of subregion；
(3) in each subregion, select the sensor node nearest apart from position of centre of gravity as it is initial when cluster head,
Cluster is added apart from nearest cluster head in remaining sensor node selection.
When cluster group number is very few, the sensor node quantity in cluster accordingly increases, and can greatly increase the communications burden of cluster head
And energy consumption；When cluster group number is excessive, most of sensor node directly carries out data transmission with aggregation node, to sensor node
Sub-clustering will become nonsensical.Based on this, the present embodiment first determines optimal cluster group number, further according to optimal cluster group number to monitoring
Region carries out subregion, selects a sensor node nearest apart from subregion position of centre of gravity as initial cluster in each subregion
Head.The present embodiment plays following unexpected technical effect: the uniformity of cluster head distribution can be effectively improved, thus favorably
The energy consumption of cluster head is transmitted in reduction indoor environment data；Innovatively propose the calculation formula of optimal cluster group number, the meter
Formula is calculated to minimize the total energy consumption of net inner sensor node as optimization aim, to monitor region area, sensor node quantity
Average distance with sensor node to aggregation node is constraint, realizes the optimization of cluster group number, which has also combined
Theoretical calculation and expert determine method, so that the determination of optimal cluster group number more closing to reality situation.
In one embodiment, when the dump energy of cluster head is lower than preset energy threshold value, sensing of the cluster head in its cluster
New cluster head is selected in device node, specifically:
(1) cluster head calculates the probability that its cluster inner sensor node serves as new cluster head according to the following formula, and selects most general
Rate sensor node corresponding with time maximum probability alternately node:
In formula, PabIndicate that cluster head a corresponds to the probability that the sensor node b in cluster serves as new cluster head, NaIt is a pairs of the cluster head
Answer the sensor node quantity in cluster, naThe sensor node quantity that cluster head had been served as in cluster is corresponded to for the cluster head a；f(b)
To judge value function, when the sensor node b served as cluster head, f (b)=0, when the sensor node b is not served as
When crossing cluster head, f (b)=1；EbFor the current remaining of the sensor node b, EcIt is corresponded in cluster c-th for the cluster head a
The current remaining of sensor node, Eb0For the primary power of the sensor node b；σ1、σ2For preset weight coefficient；
(2) cluster head selects an alternate node as new cluster head in 2 alternate nodes chosen, and former cluster head changes
The role of oneself is the sensor node in cluster.
The present embodiment reselects new cluster head, when the dump energy of cluster head is lower than preset energy threshold value to realize cluster head
Rotation, can effectively ensure that cluster head work stability and whole network reliability.The present embodiment innovatively proposes
A kind of rotation mechanism of cluster head, where it is proposed the calculation formula that cluster inner sensor node serves as the probability of new cluster head, according to this
Calculation formula served as new cluster head with bigger probability it is found that not serving as the bigger sensor node of cluster head, relative energy.It should
In rotation mechanism, cluster head calculates its cluster inner sensor node and serves as the probability of new cluster head, and selects maximum probability and time maximum probability
Alternately node, the sensor node that scarce capacity can be effectively reduced are chosen as the general of new cluster head to corresponding sensor node
Rate, and then be conducive to improve the stability of new cluster head work.
In one embodiment, cluster head selects an alternate node as new cluster head in 2 alternate nodes chosen,
Include:
(1) for 2 alternate nodes chosen, predict that alternate node serves as the total energy after new cluster head according to the following formula
Consumption:
In formula,The total energy consumption after new cluster head is served as k-th of alternate node of prediction, k=1,2,It is standby for k-th
Sensor node quantity where selecting node in cluster, E0Cluster head for setting receives and the energy of processing unit indoor environment data
Consumption, dK, oDistance for k-th of alternate node to aggregation node, EelcFor circuit energy consumption parameter, δ1For based on free space
The power amplifier coefficient of energy dissipation of loss model, δ2For the power amplifier coefficient of energy dissipation based on multipath fading model, dG, kFor k-th of alternate node
The distance of g-th of sensor node in the cluster of place to k-th of alternate node；
(2) the minimum corresponding alternate node of total energy consumption is chosen as new cluster head.
If there are many dump energy of a sensor node, but energy consumption is but very big after it is elected as cluster head, very
To can totally fail because of energy consumption after an elected cluster head, then such sensor node is not suitable for serving as cluster head.Base
In this, the present embodiment further provides the calculation formula that prediction alternate node serves as the total energy consumption after new cluster head, so that total energy
The calculating of consumption is simple and convenient, improves the efficiency of cluster head selection.The present embodiment predicts two alternate nodes according to the calculation formula
Total energy consumption after serving as new cluster head, and the minimum corresponding alternate node of total energy consumption is therefrom chosen as new cluster head, it advantageously ensures that
The stability of new cluster head work, saves indoor environment data transmissions consumption on the whole, reduces network communication cost.
The above embodiment of the present invention carries out the acquisition of indoor environment data using wireless sensor network technology, avoids wiring
Trouble, intelligent quick；By being analyzed and processed to collected indoor environment data, is controlled and adjusted according to indoor environment data
The wisdom management of indoor environment is realized in the operation of warm equipment and ventilation equipment.
Finally it should be noted that the above embodiments are merely illustrative of the technical solutions of the present invention, rather than the present invention is protected
The limitation of range is protected, although explaining in detail referring to preferred embodiment to the present invention, those skilled in the art are answered
Work as understanding, it can be with modification or equivalent replacement of the technical solution of the present invention are made, without departing from the reality of technical solution of the present invention
Matter and range.
Claims (6)
1. indoor environment intelligence real-time management system, characterized in that including perception subsystem, temperature equipment, ventilation equipment, long-range
Computer analytical equipment, wherein perception subsystem, temperature equipment, ventilation equipment are all connect with remote computer analytical equipment；Institute
It states perception subsystem to be configured as carrying out indoor environment real-time monitoring, acquisition indoor environment Data Concurrent is sent to remote computer
Analytical equipment；The remote computer analytical equipment is configured as being analyzed and processed received indoor environment data, raw
At corresponding control instruction, and according to the operation of control instruction control temperature equipment and ventilation equipment；The perception subsystem packet
Include the wireless sensor network being made of aggregation node and multiple sensor nodes, sensor node is by the indoor environment number of acquisition
According to aggregation node is transmitted to, aggregation node is communicated with remote computer analytical equipment to be transmitted to received indoor environment data
The remote computer analytical equipment.
2. indoor environment intelligence real-time management system according to claim 1, characterized in that the remote computer point
Desorption device includes processor, the first control module, the second control module, wherein the first control module, the second control module is defeated
Enter end all connect with processor, the output end of the first control module is connect with temperature equipment, the output end of the second control module and
Ventilation equipment connection.
3. indoor environment intelligence real-time management system according to claim 1 or 2, characterized in that sensor node includes
Acquisition unit, analysis and processing unit and communication unit；Acquisition unit is completed by sensor and analog-digital converter, and analysis processing is single
Member is completed by microprocessor and memory, and communication unit is completed by wireless transceiver.
4. indoor environment intelligence real-time management system according to claim 1, characterized in that when netinit, from biography
Cluster head is chosen in sensor node, and sensor node is divided by multiple clusters according to the cluster head of selection；Sensor node acquisition is supervised
The indoor environment data that location is set, and indoor environment data single-hop is sent to corresponding cluster head；Cluster head is responsible for cluster interior room inner ring
The reception and processing of border data, and indoor environment data are sent to aggregation node by treated.
5. indoor environment intelligence real-time management system according to claim 4, characterized in that sensor node sends energy consumption
Using free space loss model, and using multipath fading model when being communicated between cluster head and aggregation node；It is described from
Cluster head is chosen in sensor node, and sensor node is divided by multiple clusters according to the cluster head of selection, comprising:
(1) optimal cluster group number m is calculated according to the following formula:
In formula, δ1For the power amplifier coefficient of energy dissipation based on free space loss model, δ2For the power amplifier energy consumption based on multipath fading model
Coefficient, N are the sensor node number of deployment, and S is the area in the monitoring region, dch,oFor sensor node to aggregation node
Average distance；m0For the cluster group number by expert according to the setting of monitoring region；λ1、λ2For preset weight coefficient, and meet λ1
+λ2=1；Int is bracket function；
(2) the monitoring region of setting is divided into m sub-regions, calculates the position of centre of gravity of each subregion according to the following formula:
In formula, ρiIndicate that the position of centre of gravity of i-th of subregion, i=1 ..., m, x (j) indicate in i-th of subregion j-th
The abscissa of sensor node position, y (j) are the ordinate of j-th of sensor node position, wherein to converge
Poly- node is coordinate origin, niThe sensor node number having for i-th of subregion；
(3) in each subregion, select the sensor node nearest apart from position of centre of gravity as it is initial when cluster head, remaining biography
Cluster is added apart from nearest cluster head in sensor node selection.
6. indoor environment intelligence real-time management system according to claim 5, characterized in that when the dump energy of cluster head is low
When preset energy threshold value, cluster head selects new cluster head in the sensor node in its cluster.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811218843.3A CN109405194A (en) | 2018-10-19 | 2018-10-19 | Indoor environment intelligence real-time management system |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201811218843.3A CN109405194A (en) | 2018-10-19 | 2018-10-19 | Indoor environment intelligence real-time management system |
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| CN109405194A true CN109405194A (en) | 2019-03-01 |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112135328A (en) * | 2019-06-04 | 2020-12-25 | 洋浦科意峰润科技有限责任公司 | Artificial intelligence monitoring system based on thing networking |
-
2018
- 2018-10-19 CN CN201811218843.3A patent/CN109405194A/en not_active Withdrawn
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112135328A (en) * | 2019-06-04 | 2020-12-25 | 洋浦科意峰润科技有限责任公司 | Artificial intelligence monitoring system based on thing networking |
| CN112135328B (en) * | 2019-06-04 | 2022-08-26 | 快住智能科技（苏州）有限公司 | Artificial intelligence monitoring system based on thing networking |
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Application publication date: 20190301 |