CN108415345A - A kind of intelligent building control system - Google Patents
A kind of intelligent building control system Download PDFInfo
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- CN108415345A CN108415345A CN201810477730.9A CN201810477730A CN108415345A CN 108415345 A CN108415345 A CN 108415345A CN 201810477730 A CN201810477730 A CN 201810477730A CN 108415345 A CN108415345 A CN 108415345A
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
- G05B19/042—Programme control other than numerical control, i.e. in sequence controllers or logic controllers using digital processors
- G05B19/0423—Input/output
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/20—Pc systems
- G05B2219/25—Pc structure of the system
- G05B2219/25257—Microcontroller
Abstract
The invention discloses a kind of intelligent building control systems, including minimum sensor detecting system, wireless communication system, neuroid PID controller system, neural network central control system, end executes system, the neural network central control system is connect with neuroid PID controller system, the neuroid PID controller system respectively with minimum sensor detecting system, between end execution system by radio communication network connection present system by intelligent control, technology of Internet of things, building system is combined, it is adjusted by neural network central controller, reduce unnecessary energy consumption；Minimum sensor detecting system is trained by early period, with few number of sensors, reaches the real-time monitoring of entire building internal environment, the energy consumption generated by sensor is reduced while reducing sensor network complexity；System installation is simple, easy to maintain；System meets development in science and technology trend, is more intelligent, energy saving, comfortable building system.
Description
Technical field
The present invention relates to intelligence control system, in particular to a kind of intelligent building control systems.
Background technology
Intelligent building is that the requirement with the mankind to building safety, comfort, convenience and energy saving generates.Early in
The seventies and eighties, intelligent building has just risen in foreign countries, such as the Nomura Securities mansion of Japan, NEC parent companys building.And China
Intelligent building starting relatively late, in July, 2000, the Ministry of Construction of China formally issues and implements《Standsrd for design of intelligent buildings》,
Intelligent building has been carried out in the standard " to build as platform, to have both Architectural Equipment, office automation and communication as given a definition
Network system, structure set, system, service, management and the optimal combination between them, to people provide one it is safe efficient,
Comfortably, convenient architectural environment ".Therefore, building construction not only will be on the basis of meeting human demand in following development
Become more intelligent, while also wanting abreast of the times development trend, it is more energy saving.
Invention content
In order to solve the above technical problems, technical solution provided by the invention is：A kind of intelligent building control system, including most
Few sensor detecting system, wireless communication system, neuroid PID controller system, neural network central control system, end
Execution system, the neural network central control system is held to be connect with neuroid PID controller system, the neuron net
The network PID controller system network system by radio communication between minimum sensor detecting system, end execution system respectively
Connection, the minimum sensor detecting system includes the sensor for acquiring the environmental parameter inside and outside building in specific region
Group.
As an improvement, the minimum sensor detecting system includes input module, implicit module and output module, it is described defeated
The neuron number for entering module is connected according to input and the output of sensor group data, and the neuron number of the output module is according to output and god
Data input connection through metanetwork PID controller system.
As an improvement, the data input of the input module is sensor group actual acquired data, the output module
Data output is prediction data, and arithmetic logic relationship is preset in output module control, determines prediction data and to neuron net
Network PID controller system carries out data output, and the neuronal quantity of the input module is much smaller than output module data output god
Through first quantity；The default arithmetic logic relationship specifically refers to what object that is pre-set, being acquired by sensor group was constituted
Parameter combination.
As an improvement, the sensor group includes that temperature sensor, humidity sensor, intensity of illumination sensor, smog are dense
Spend sensor.
As an improvement, it includes the heating control device and air-conditioning equipment being connect with heater unit that the end, which executes system,
The air conditioning control device of connection, the window control device being connect with window furnishings, the curtain control device being connect with curtain equipment,
The illumination control apparatus being connect with lighting apparatus, the humidity conditioner being connect with Humidity regulating equipment, connect with warning device
Alarm control unit.
As an improvement, the wireless communication system is stagewise ZigBee communication network.
As an improvement, the ZigBee communication network includes three-level, respectively ZigBee network coordinator, ZigBee routings
Device and ZigBee terminals, the ZigBee network coordinator broadcast information to the ZigBee routers, the roads ZigBee
Information is broadcasted to the grading type wireless transmission that broadcast message is realized to the ZigBee terminals again by device.
As an improvement, the ZigBee terminals are connect with minimum sensor detecting system.
As an improvement, the wireless communication system uses CC2530 as radio-frequency module, the neuroid PID control
Device system is using STM32 as master chip.
Its control method, including：
(1) after system electrification, ZigBee network coordinator sends out beacon frame first, creates a ZigBee wireless network,
Then, surrounding ZigBee routers, ZigBee terminals respond, and are added in ZigBee communication network.
(2) after ZigBee communication network is added in all ZigBee communication network nodes, ZigBee terminal nodes are logical
Minimum sensor detecting system is crossed to start to acquire the data of the physical environment where ZigBee terminals, including temperature, humidity, light
By force, the data such as smokescope, and these data are sent to its ZigBee communication network father node.
(3) ZigBee communication network father node further transmits after receiving data, until data transmission to neuroid
In PID controller system.After neuroid PID controller system receives data, data are handled, and further right
According to relevant parameters indexs such as the built-in indoor optimum temperatures, relative humidity, indoor air velocity for meeting PMV, and executed by end
The corresponding equipment operation of system drive.
Intelligent control, technology of Internet of things, building system are combined by present system, pass through neural network central controller
It adjusts, reduces unnecessary energy consumption；Minimum sensor detecting system is trained by early period, with few number of sensors, reaches whole
The real-time monitoring of a building internal environment reduces the energy generated by sensor while reducing sensor network complexity
Consumption；System installation is simple, easy to maintain；System meets development in science and technology trend, is more intelligent, energy saving, comfortable building system.
This system can accomplish more energy efficient, and building system under whole system is even than common building energy saving 50%；More intelligence
Can, it is changed into active intelligent tool by original passive static structures；It is apparent, 2 concentration of indoor CO, coal gas is dense
The invisible modes such as degree, illumination, temperature by the form of data visualization it is clear be presented to the user, allow user to building
Interior state has more intuitive impression；More human nature emphasizes the subjective initiative of people, payes attention to the coordination of human and environment, enables users to
At any time, everywhere, follow one's inclinations control building in living and working environment.
Description of the drawings
Fig. 1 is a kind of structural schematic diagram of intelligent building control system of the present invention.
Fig. 2 is the structural schematic diagram of minimum sensor detecting system in a kind of intelligent building control system of the present invention.
Fig. 3 is the structural schematic diagram of wireless communication system in a kind of intelligent building control system of the present invention.
Fig. 4 is the structural schematic diagram of neuroid PID controller system in a kind of intelligent building control system of the present invention.
Fig. 5 is a kind of system output schematic diagram of intelligent building control system of the present invention.
Fig. 6 is that a kind of intelligent building control system of the present invention is not used and energy consumption comparison figure when using.
As shown in the figure：1, minimum sensor detecting system, 1.1, sensor group, 1.2, input module, 1.3, implicit module,
1.4, output module, 2, wireless communication system, 2.1, ZigBee network coordinator, 2.2, ZigBee routers, 2.3, ZigBee
Terminal, 3, neuroid PID controller system, 3.1, neuroid PID controller, 3.2, PID arithmetic module, 3.3, letter
Number output module, 3.4, amplifier, 3.5, controlled system, 3.6, detecting system, 4, neuroid PID controller system, 5,
End executes system.
Specific implementation mode
In conjunction with attached drawing 1~6, a kind of intelligent building control system, including minimum sensor detecting system 1, wireless communication system
System 2, neuroid PID controller system 3, neural network central control system 4, end execute system 5, the neural network
Central control system 4 is connect with neuroid PID controller system 3, and the neuroid PID controller system 3 is distinguished
Network 2 is connect by radio communication between executing system 5 with minimum sensor detecting system 1, end, the minimum sensor inspection
Examining system 1 includes the sensor group 1.1 for acquiring the environmental parameter inside and outside building in specific region.
As the present embodiment preferred embodiment, the minimum sensor detecting system 1 include input module 1.2,
The neuron number of implicit module 1.3 and output module 1.4, the input module 1.2 is exported according to input and 1.1 data of sensor group
Connection, the neuron number of the output module 1.4 is inputted according to the data of output and neuroid PID controller system 3 to be connected.
As the present embodiment preferred embodiment, the data input of the input module 1.2 is that sensor group 1.1 is real
The data output of border gathered data, the output module 1.4 is prediction data, and the control of the output module 1.4 is preset operation and patrolled
Volume relationship determines prediction data and carries out data output to neuroid PID controller system 3, the input module 1.2
Neuronal quantity is much smaller than 1.4 data output neuron quantity of output module；The default arithmetic logic relationship specifically refers to pre-
The parameter combination that object being first arranged, being acquired by sensor group is constituted.
In the present embodiment, by taking temperature sensor as an example, shown in Fig. 2, output module 1.4 is divided for 15 warm areas,
Two sensor groups 1.1 are chosen to predict the temperature of 15 warm areas of mould preparation block, finally constitute two inputs, 15 outputs
1 neural network of minimum sensor detecting system, wherein the majorized function of output module 1.4 is：
Wherein, θ j are indicated and deviation inputs relevant weights, and ω i indicate to input relevant weights with i-th, select s shapes
Excitation function of the tangent function as implicit module neuron.Finally obtain two inputs, the neural network of 15 output
Model, and the model temperature that can acquire two sensor groups 1.1 is as input, and obtain 15 warm areas inside building
Predicted temperature, to reach energy-efficient target.
The data input of the data output connection neuroid PID controller system 3 of minimum sensor detecting system 1；
Wherein, in conjunction with attached drawing 4, neuroid PID controller system 3 includes neuroid PID controller 3.1, PID
Computing module 3.2, signal output module 3.3, amplifier 3.4, controlled system 3.5 and detecting system 3.6 give echo signal r,
Detecting system 3.6 detects the initial value y of current controlled variable, Setting signal and measuring signal as input, passes through PID arithmetic module
The signal output of signal output module 3.3 is obtained after 3.2 operations, output signal inputs controlled system 3.5 through amplifier 3.4, real
Now regulate and control, detecting system 3.6 is detected the output quantity of controlled system 3.5 at this time later, after conversion, as feedback letter
Number, it being input in neuroid PID controller 3.1, neuroid PID controller 3.1 is learnt according to feedback signal,
Network weight is updated, while exporting new output signal, controlled system is further adjusted.
Wherein, PID arithmetic module 3.2 includes input module operation, implicit module arithmetic and output module operation, inputs mould
Block operation uses two neurons of input module in minimum sensor detecting system 1, inputs the given value of controlled system respectively
And actual value, it is assumed that sampling instant k then has input matrix：
M-1For the inverse of normalization matrix.
There are three neurons for implicit module arithmetic, respectively represent ratio neuron, integral neuron, differential neuron, if
The input weight matrix of implicit module is w1, then the state matrix of neuron be：
The output of each neuron is：
The output matrix for the neuroid PID output modules that output module operation uses is w2, then whole network output
The state of module is：
Then total export of entire neuroid PID is：
As the present embodiment preferred embodiment, the sensor group 1.1 includes but not limited to temperature sensor, wet
Spend sensor, intensity of illumination sensor, smokescope sensor.
As the present embodiment preferred embodiment, the end executes system 5 and includes but not limited to and heater unit
The heating control device of connection, the air conditioning control device being connect with air-conditioning equipment, the window control device being connect with window furnishings,
The curtain control device that is connect with curtain equipment, the illumination control apparatus being connect with lighting apparatus are connect with Humidity regulating equipment
Humidity conditioner, the alarm control unit being connect with warning device.
Wherein, heating control device includes heating switch valve and heating regulating valve, and the air conditioning control device includes air-conditioning
Switch and air-conditioner temperature adjuster, the window control device includes the window closing device being set in window frame, described
Curtain control device includes the curtain open/close device being set on curtain mounting box, the illumination control apparatus include in building
The light switch device and light regulating device of fluorescent tube connection, the humidity conditioner includes the wind being connect with building inner blower
Machine controller and the damping control being connect with humidifier, the alarm control unit include connecting with audible-visual annunciator in building
The acoustic-optic alarm connect, the elevator control gear being connect with elevator and the access control device being connect with entrance guard device.
As the present embodiment preferred embodiment, the wireless communication system 2 is stagewise ZigBee communication network.
As the present embodiment preferred embodiment, the ZigBee communication network includes three-level, respectively ZigBee
Network coordinator 2.1, ZigBee routers 2.2 and ZigBee terminals 2.3, the ZigBee network coordinator 2.1 are wide by information
The ZigBee routers 2.2 are cast to, the ZigBee routers 2.2 again broadcast information to the ZigBee terminals 2.3, real
The grading type wireless transmission of existing broadcast message.
As the present embodiment preferred embodiment, the ZigBee terminals 2.3 connect with minimum sensor detecting system
It connects.
As the present embodiment preferred embodiment, the wireless communication system 2 using CC2530 as radio-frequency module,
The neuroid PID controller system is using STM32 as master chip.
Its control method, including：
(1) after system electrification, ZigBee network coordinator sends out beacon frame first, creates a ZigBee wireless network,
Then, surrounding ZigBee routers, ZigBee terminals respond, and are added in ZigBee communication network.
(2) after ZigBee communication network is added in all ZigBee communication network nodes, ZigBee terminal nodes are logical
Minimum sensor detecting system is crossed to start to acquire the data of the physical environment where ZigBee terminals, including temperature, humidity, light
By force, the data such as smokescope, and these data are sent to its ZigBee communication network father node.
(3) ZigBee communication network father node further transmits after receiving data, until data transmission to neuroid
In PID controller system.After neuroid PID controller system receives data, data are handled, and further right
According to relevant parameters indexs such as the built-in indoor optimum temperatures, relative humidity, indoor air velocity for meeting PMV, and executed by end
The corresponding equipment operation of system drive.
One, energy consumption analysis
It is designed and has been calculated based on PMV-PPD theories, acquired, have collected enough by prolonged data
Data, eventually pass through and summarize, obtained the relevant parameters such as the indoor optimum temperature, relative humidity, indoor air velocity for meeting PMV,
And have found the optimal case that most suitable parameter is combined with energy conservation.
By experimental study, PMV thermal comfort manikins are accurate in the prediction to air-conditioning and construction, especially in clothes
Thermal resistance range is 0.3~1.2clo, and when new old generation metabolism is less than 1.4met, following table is only to summer temp, relative humidity
With it is energy saving between relationship summarize table：
Table one：Fractional energy savings under different temperatures, humidity.
In summer, when indoor temperature rises to 28 DEG C by 26 DEG C of thermoneutrality, the percent dissatisfied of crowd is risen to by 4.3%
9.8%, it still ensures that 90% satisfaction rate, air conditioning energy consumption at most save 14%, when indoor temperature remains unchanged, still takes 25 DEG C,
When relative humidity rises to 60% by 50%, PPD values increase 1.1%, have almost no change, and up to energy saving 12% or so.
When winter, to heating system, we equally carry out data analysis, and the clothing rate in the winter north is 0.88clo, new old
Metabolism takes 1.18met.
Table two：Hot comfort in winter difference room temperature at temperature
Table three：Hot comfort under winter difference indoor temperature, relative humidity
It is determined by experiment and theoretical reckoning, most pleasant Indoor Temperature is：Winter temperature be 18 to 25 DEG C, spend for 30% to
80%；Summer temperature is 23 to 28 DEG C, and humidity is 30% to 60%.The people to feel comfortable within this range accounts for 95% or more.Such as
Fruit considers influence of the epidemic disaster to people's thinking activities, and optimum room temperature should be 18 DEG C, and humidity should be 40% to 60%,
At this point, the state of mind of people is good, thinking is most quick, and work efficiency is high.
Estimated, indoor temperature often reduces by 1 DEG C, and coal consumption can reduce 5%-10%.Estimate like this, if the confession of science
Warm indoor temperature reduces 2-3 DEG C in current level, can save 500 tons or so standard coals every year.Simultaneously by heating system and
Mating heat supply network, heat source capacity are reduced, and initial cost and operating cost is made all to decrease.
Indoor temperature is reduced to 17.5 DEG C of the lower limit value of 90% satisfaction by 18.8 DEG C of thermoneutrality, then coal consumption can subtract
Few 6.5%-13%, and if being down to 16.5 DEG C of the lower limit value of 80% satisfaction rate, coal consumption can reduce 11%-23%.Think
It is wrong to improve indoor temperature and can improve the viewpoint of comfort level, because with the raising of indoor design temperature, comfort level
Declining, when indoor temperature rises to 21 DEG C by 19 DEG C, and water capacity is constant, percent dissatisfied will increase 10%.
The overall calculation that final energy consumption has been carried out based on VisualEPlus in identical two months, is used in conjunction with attached drawing 6
Total energy consumption reduces about 17.35% after this intelligent Building System.
Above-mentioned detailed description is an example of the present invention, and the above embodiment is not to limit the patent of the present invention
Range, all equivalence enforcements or change without departing from the present invention are intended to be limited solely by the scope of the claims of the present invention.
Claims (10)
1. a kind of intelligent building control system, it is characterised in that：Including minimum sensor detecting system, wireless communication system, god
System, the neural network center control are executed through metanetwork PID controller system, neural network central control system, end
System is connect with neuroid PID controller system, the neuroid PID controller system respectively with minimum sensor
Network system connects by radio communication between detecting system, end execution system, and the minimum sensor detecting system includes
Several sensor groups for acquiring the environmental parameter inside and outside building in specific region.
2. a kind of intelligent building control system according to claim 1, it is characterised in that：The minimum sensor detection system
System includes input module, implicit module and output module, and the neuron number of the input module is according to input and sensor group data
Output connection, the neuron number of the output module is inputted according to the data of output and neuroid PID controller system to be connected.
3. a kind of intelligent building control system according to claim 2, it is characterised in that：The data of the input module are defeated
Enter for sensor group actual acquired data, the data output of the output module is prediction data, and the output module control is pre-
If arithmetic logic relationship, determines prediction data and carry out data output, the input mould to neuroid PID controller system
The neuronal quantity of block is much smaller than output module data output neuron quantity；The default arithmetic logic relationship specifically refers to pre-
The parameter combination that object being first arranged, being acquired by sensor group is constituted.
4. a kind of intelligent building control system according to claim 1, it is characterised in that：The sensor group includes temperature
Sensor, humidity sensor, intensity of illumination sensor, smokescope sensor.
5. a kind of intelligent building control system according to claim 1, it is characterised in that：The end executes system
The heating control device that is connect with heater unit, the air conditioning control device being connect with air-conditioning equipment, the window being connect with window furnishings
Family control device, the curtain control device being connect with curtain equipment, the illumination control apparatus being connect with lighting apparatus and humidity tune
Save the humidity conditioner of equipment connection, the alarm control unit being connect with warning device.
6. a kind of intelligent building control system according to claim 1, it is characterised in that：The wireless communication system is point
Grade formula ZigBee communication network.
7. a kind of intelligent building control system according to claim 6, it is characterised in that：The ZigBee communication network packet
Three-level, respectively ZigBee network coordinator, ZigBee routers and ZigBee terminals are included, the ZigBee network coordinator will
Information is broadcasted to the ZigBee routers, and information is broadcasted to the ZigBee terminals, realized by the ZigBee routers again
The grading type wireless of broadcast message transmits.
8. a kind of intelligent building control system according to claim 7, it is characterised in that：The ZigBee terminals with it is minimum
Sensor detecting system connects.
9. a kind of intelligent building control system according to claim 1, it is characterised in that：The wireless communication system uses
CC2530 is as radio-frequency module, and the neuroid PID controller system is using STM32 as master chip.
10. a kind of control method of intelligent building control system according to claim 1, it is characterised in that：
(1) after system electrification, ZigBee network coordinator sends out beacon frame first, creates a ZigBee wireless network, then,
Surrounding ZigBee routers, ZigBee terminals respond, and are added in ZigBee communication network.
(2) after ZigBee communication network is added in all ZigBee communication network nodes, ZigBee terminal nodes pass through most
Few sensor detecting system starts to acquire the data of the physical environment where ZigBee terminals, including temperature, humidity, light intensity, cigarette
The data such as mistiness degree, and these data are sent to its ZigBee communication network father node.
(3) ZigBee communication network father node further transmits after receiving data, until data transmission to neuroid PID is controlled
In device system processed.After neuroid PID controller system receives data, data are handled, and further in control
The relevant parameters indexs such as the indoor optimum temperature, relative humidity, indoor air velocity for meeting PMV set, and system is executed by end
Corresponding equipment is driven to run.
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| CN110347075A (en) * | 2019-05-22 | 2019-10-18 | 上海博昂电气有限公司 | Building equipment control system |
| CN112880167A (en) * | 2021-02-22 | 2021-06-01 | 浙江纳特智能网络工程有限公司 | Intelligent building system based on wireless internet of things |
| CN112954866A (en) * | 2021-05-14 | 2021-06-11 | 浙江纳特智能网络工程有限公司 | Intelligent Internet-of-things building lighting control system |
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| CN114594814A (en) * | 2022-03-07 | 2022-06-07 | 上海工程技术大学 | Digital control device based on artificial intelligence |
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