CN110160127A - Mist based on fluid heat transferring modeling calculates three-level net for thermal control system - Google Patents
Mist based on fluid heat transferring modeling calculates three-level net for thermal control system Download PDFInfo
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- CN110160127A CN110160127A CN201910412709.5A CN201910412709A CN110160127A CN 110160127 A CN110160127 A CN 110160127A CN 201910412709 A CN201910412709 A CN 201910412709A CN 110160127 A CN110160127 A CN 110160127A
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- heat
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24D—DOMESTIC- OR SPACE-HEATING SYSTEMS, e.g. CENTRAL HEATING SYSTEMS; DOMESTIC HOT-WATER SUPPLY SYSTEMS; ELEMENTS OR COMPONENTS THEREFOR
- F24D19/00—Details
- F24D19/10—Arrangement or mounting of control or safety devices
- F24D19/1006—Arrangement or mounting of control or safety devices for water heating systems
- F24D19/1009—Arrangement or mounting of control or safety devices for water heating systems for central heating
Abstract
The invention discloses a kind of mists based on fluid heat transferring modeling to calculate three-level net for thermal control system, belongs to wisdom for thermal control apparatus field.The system includes main controller module, from controller module, main controller module is arranged in heat supply three-level net end water inlet main pipe, further comprises that mist calculates main control unit, data uploading unit, Internet of Things communication unit, automatically cleaning execution unit, power supply unit, handheld terminal maintenance unit；Resident is arranged in from controller module to register one's residence water inlet pipe, including wireless Internet of Things communication unit, data sampling sensor, execution unit；It can respond cloud instruction with independent mist calculating control system, and can independently establish hot heat transfer fluid dynamic mathematical models and Contrast tuned imaging heat user end effector independent of Cloud Server, and heat of distributing according to need to the greatest extent is energy-saving.
Description
Technical field
The present invention relates to a kind of wisdom for thermal control equipment more particularly to a kind of three-level net based on fluid heat transferring modeling
Wisdom heating system.
Background technique
Heat supply end at present, such as buildings heat supply and the heat supply of rural area villages and small towns are all made of extensive style control model, substantially
For manually-operated gate control；And the heat user valve of registering one's residence for being located at same root main pipe is all full-gear, due to floor static pressure difference
It is different with user's resistance, cause heat donor fluid heat-transfer effect different, weighing apparatus uneven in temperature causes amount of heat waste and resident's body
The totally different complaint of temperature-sensitive degree；
Most of the northern region of China heating heat consumption is 40-50W/ ㎡, and western developed country is mostly 20W/ ㎡
Left and right, the energy saving space are huge；Meanwhile 2015 the United Nations develop summit propose energy internet concept, promote internet+
Wisdom energy development, be more efficient, more intelligent, more Internet of Things reasonable energy utilization point the direction.The application proposes one thus
Kind calculates three-level net for thermal control system based on the mist that fluid heat transferring models.
Summary of the invention
The present invention relates to a kind of heat supply three-level network control systems, are mainly used for rural area central heating end or urban heating
End；It can respond cloud instruction with independent mist calculating control system, and can be independent to establish independent of Cloud Server
Hot heat transfer fluid dynamic mathematical models and Contrast tuned imaging heat user end effector, heat of distributing according to need to the greatest extent, section
It can consumption reduction.
It is a kind of based on fluid heat transferring modeling mist calculate three-level net for thermal control system, which includes master controller mould
Block, from controller module, main controller module be arranged in heat supply three-level net end water inlet main pipe, further comprise mist calculate master
Control unit, data uploading unit, Internet of Things communication unit, automatically cleaning execution unit, power supply unit, handheld terminal maintenance unit；Object
Join communication unit to communicate with from controller module by IIC data acquisition protocol or NB-IOT Internet of Things, while monitoring from control
Device communication state；Automatically cleaning execution unit receives mist and calculates main control unit instruction, and equal percentage accurately executes control valve position, instead
Valve position information is presented, and periodically autonomous cleaning spool, valve core structure use compound blade type V ball valve, it is blade that spool, which is opened and closed side,；
Handheld terminal maintenance unit bluetooth communication mode can input main control unit end network topology by hand-held maintenance terminal,
Optimal Parameters；It is arranged in resident from controller module to register one's residence water inlet pipe, including wireless Internet of Things communication unit, data acquisition sensing
Device, execution unit；Wireless Internet of Things communication unit is communicated with master controller by NB-IOT wireless internet of things；Data acquisition sensing
Device wireless monitor resident room temperature and humidity calculate sendible temperature, and real-time monitoring supply and return water temperature, pressure, flow are believed
Number；Execution unit is instructed according to main controller module, accurate to execute control valve position, and valve body is brass material, and valve characteristic is solid
Determine curve characteristic, respective valve position corresponds to corresponding discharge, the pressure and heating effect of controlling terminal user.
Power supply unit communication uses NB-IOT or LORA mode, usually in off-line state, online work when need to regulate and control, choosing
With powered by fluid power generation device, alternating current is directly powered, one of lithium battery power supply, DC low-voltage power supply mode or more
Kind.
Mist calculates main control unit and configures low-power consumption ARM chip, embedded OS, according to pre-entering heat supply end
Real topology generates hot heat transfer fluid simulation mathematical model, and according to historical data identification heat user heat-transfer character, into
And dynamic mathematical models are established, the hot heat transfer fluid based on established model can be carried out according to outdoor temperature to be calculated, and controlling party is formulated
Case issues control instruction, while real-time collecting three-level net node fluid situation is verified.
Mist calculates main control unit:
(1) local pressure loss computational submodule
Calculate the long linear loss R of every mitron:
Wherein, R is the long linear loss of every mitron；Gt is the water flow in one section of pipe；D is the interior diameter of pipe；θ is
The coefficient of frictional resistance of inner wall of the pipe；ρ is the density of water；
It is greater than the hot water network of 0.5m/s for flow velocity, friction is calculated using the unified formula of entire regions of turbulent flow
Resistance coefficient θ:
Wherein, g is the quality that the hot water of pipeline section is flowed through in the unit time；Re is the Reynolds number of fluid；K is absolute
Roughness, it is related with the behaviour in service of pipe and time, K=0.2 is used for indoor hot-water heating system；
(2) along stroke pressure costing bio disturbance submodule
Calculate the overall presure drop P of pipeline:
P=RLzh
Wherein, LzhFor the reduced length of pipeline section；
(3) hot water network water force submodule
The hot water quality G of pipeline section is flowed through in the unit of account timen:
Wherein, QnFor the thermic load for the custom system that heats；tg、thFor confession, return water temperature；C is the specific heat capacity of water；N=1,
2,3 ...；
(4) least square method computational submodule
Calculate room temperature
Wherein, toutFor outdoor temperature；A is experiment coefficient；K is radiator heat transfer coefficient；τ is time delay coefficient；
Related coefficient a, k, τ are calculated using least square method；
(5) Kalman Prediction submodule
Room temperature is predicted using Kalman Prediction equation
State equation are as follows:
Observational equation are as follows:
For the state vector of n+1 moment room temperature；For n moment room temperature state vector；For n+1
The observation vector of moment Floating Car；ω n is system noise, and vn+1 is observation noise, it is assumed that they are the white Gaussians that mean value is zero
Noise, and it is irrelevant；φ () is 8 dimensional vector equations, isThe nonlinear function of ω n and n；H () is 8 dimensional vectors
Equation isThe nonlinear function of vn+1 and n+1.
Detailed description of the invention
Fig. 1 is to plant the mist modeled based on fluid heat transferring to calculate three-level net for thermal control system composition figure；
Fig. 2 is hardware circuit implementation figure: Fig. 2 a-2e, respectively main control unit circuit, signal acquisition circuit, communication electricity
The circuit diagram of road, electric power loop and store loop.
Specific embodiment
Technical solution of the present invention is described in further detail with reference to the accompanying drawing.
Referring to Fig. 1, a kind of mist based on fluid heat transferring modeling calculates three-level net for thermal control system, which includes master
Controller module, from controller module, main controller module be arranged in heat supply three-level net end water inlet main pipe, further comprise
Mist calculates main control unit, data uploading unit, Internet of Things communication unit, automatically cleaning execution unit, power supply unit, handheld terminal dimension
Protect unit；Internet of Things communication unit is communicated with from controller module by IIC data acquisition protocol or NB-IOT Internet of Things, simultaneously
It monitors from controller communication state；Automatically cleaning execution unit receives mist and calculates main control unit instruction, and equal percentage accurately executes control
Valve position processed, feedback valve position information, and periodically autonomous cleaning spool, valve core structure use compound blade type V ball valve, spool is opened and closed side
It is blade；Handheld terminal maintenance unit bluetooth communication mode can input main control unit end pipe network by hand-held maintenance terminal
Topological structure, Optimal Parameters；Resident is arranged in from controller module to register one's residence water inlet pipe, including wireless Internet of Things communication unit, data
Acquire sensor, execution unit；Wireless Internet of Things communication unit is communicated with master controller by NB-IOT wireless internet of things；Data
Acquire sensor wireless monitoring resident's room temperature and humidity, calculate sendible temperature, and real-time monitoring supply and return water temperature, pressure,
Flow signal；Execution unit is instructed according to main controller module, accurate to execute control valve position, and valve body is brass material, and valve is special
Property be fixed curve characteristic, respective valve position corresponds to corresponding discharge, the pressure and heating effect of controlling terminal user.
Power supply unit communication uses NB-IOT or LORA mode, usually in off-line state, online work when need to regulate and control, choosing
With powered by fluid power generation device, alternating current is directly powered, one of lithium battery power supply, DC low-voltage power supply mode or more
Kind.
Mist calculates main control unit and configures low-power consumption ARM chip, embedded OS, according to pre-entering heat supply end
Real topology generates hot heat transfer fluid simulation mathematical model, and according to historical data identification heat user heat-transfer character, into
And dynamic mathematical models are established, the hot heat transfer fluid based on established model can be carried out according to outdoor temperature to be calculated, and controlling party is formulated
Case issues control instruction, while real-time collecting three-level net node fluid situation is verified.
Mist calculates main control unit:
(1) local pressure loss computational submodule
Calculate the long linear loss R of every mitron:
Wherein, R is the long linear loss of every mitron；Gt is the water flow in one section of pipe；D is the interior diameter of pipe；θ is
The coefficient of frictional resistance of inner wall of the pipe；ρ is the density of water；
It is greater than the hot water network of 0.5m/s for flow velocity, friction is calculated using the unified formula of entire regions of turbulent flow
Resistance coefficient θ:
Wherein, g is the quality that the hot water of pipeline section is flowed through in the unit time；Re is the Reynolds number of fluid；K is absolute
Roughness, it is related with the behaviour in service of pipe and time, K=0.2 is used for indoor hot-water heating system；
(2) along stroke pressure costing bio disturbance submodule
Calculate the overall presure drop P of pipeline:
P=RLzh
Wherein, LzhFor the reduced length of pipeline section；
(3) hot water network water force submodule
The hot water quality G of pipeline section is flowed through in the unit of account timen:
Wherein, QnFor the thermic load for the custom system that heats；tg、thFor confession, return water temperature；C is the specific heat capacity of water；N=1,
2,3 ...；
(4) least square method computational submodule
Calculate room temperature
Wherein, toutFor outdoor temperature；A is experiment coefficient；K is radiator heat transfer coefficient；τ is time delay coefficient；
Related coefficient a, k, τ are calculated using least square method；
(5) Kalman Prediction submodule
Room temperature is predicted using Kalman Prediction equation
State equation are as follows:
Observational equation are as follows:
For the state vector of n+1 moment room temperature；For n moment room temperature state vector；For n+1
The observation vector of moment Floating Car；ω n is system noise, and vn+1 is observation noise, it is assumed that they are the white Gaussians that mean value is zero
Noise, and it is irrelevant；φ () is 8 dimensional vector equations, isThe nonlinear function of ω n and n；H () is 8 dimensional vectors
Equation isThe nonlinear function of vn+1 and n+1.
A-2e referring to fig. 2, respectively main control unit circuit, signal acquisition circuit, telecommunication circuit and are deposited electric power loop
The circuit diagram in circuit is stored up, the non-prior art, this will not be repeated here.
The present invention is exemplarily described in conjunction with attached drawing above.Obviously, present invention specific implementation is not by above-mentioned side
The limitation of formula.As long as using the improvement for the various unsubstantialities that the inventive concept and technical scheme of the present invention carry out；Or not
It is improved, above-mentioned conception and technical scheme of the invention are directly applied into other occasions, in protection scope of the present invention
Within.
Claims (4)
1. a kind of mist based on fluid heat transferring modeling calculates three-level net for thermal control system, it is characterised in that: including master controller
Module, from controller module；The main controller module is arranged in heat supply three-level net end water inlet main pipe, further comprises mist meter
Calculate main control unit, data uploading unit, Internet of Things communication unit, automatically cleaning execution unit, power supply unit, handheld terminal maintenance list
Member；Internet of Things communication unit is communicated with from controller module by IIC data acquisition protocol or NB-IOT Internet of Things, at the same monitor from
Controller communication state；Automatically cleaning execution unit receives mist and calculates main control unit instruction, and equal percentage accurately executes control valve position,
Feedback valve position information, and periodically autonomous cleaning spool, valve core structure use compound blade type V ball valve, it is blade that spool, which is opened and closed side,；
Handheld terminal maintenance unit bluetooth communication mode can input main control unit end network topology by hand-held maintenance terminal,
Optimal Parameters；It is arranged in resident from controller module to register one's residence water inlet pipe, including wireless Internet of Things communication unit, data acquisition sensing
Device, execution unit；Wireless Internet of Things communication unit is communicated with master controller by NB-IOT wireless internet of things；Data sampling sensor
Wireless monitor resident room temperature and humidity calculate sendible temperature, and real-time monitoring supply and return water temperature, pressure, flow signal；It holds
Row unit is instructed according to main controller module, accurate to execute control valve position, and valve body is brass material, and valve characteristic is fixed curve
Characteristic, respective valve position correspond to corresponding discharge, the pressure and heating effect of controlling terminal user.
2. the mist according to claim 1 based on fluid heat transferring modeling calculates three-level net for thermal control system, it is characterised in that
Power supply unit communication uses NB-IOT or LORA mode, and usually in off-line state, online work when need to regulate and control is selected and sent out by fluid
Electric installation power supply, alternating current directly power, one of lithium battery power supply, DC low-voltage power supply mode or a variety of.
3. the mist according to claim 1 based on fluid heat transferring modeling calculates three-level net for thermal control system, it is characterised in that
Mist calculates main control unit and configures low-power consumption ARM chip, embedded OS, according to pre-entering heat supply end practical topology knot
Structure generates hot heat transfer fluid simulation mathematical model, and according to historical data identification heat user heat-transfer character, and then establishes dynamic number
Model is learned, the hot heat transfer fluid based on established model can be carried out according to outdoor temperature and is calculated, control program is formulated, issues control and refer to
It enables, while real-time collecting three-level net node fluid situation is verified.
4. the mist according to claim 3 based on fluid heat transferring modeling calculates three-level net for thermal control system, it is characterised in that:
Mist calculates main control unit:
(1) local pressure loss computational submodule
Calculate the long linear loss R of every mitron:
Wherein, R is the long linear loss of every mitron；Gt is the water flow in one section of pipe；D is the interior diameter of pipe；θ is in pipeline
The coefficient of frictional resistance of wall；ρ is the density of water；
It is greater than the hot water network of 0.5m/s for flow velocity, frictional resistance system is calculated using the unified formula of entire regions of turbulent flow
Number θ:
Wherein, g is the quality that the hot water of pipeline section is flowed through in the unit time；Re is the Reynolds number of fluid；K is absolutely coarse
Degree, it is related with the behaviour in service of pipe and time, K=0.2 is used for indoor hot-water heating system；
(2) along stroke pressure costing bio disturbance submodule
Calculate the overall presure drop P of pipeline:
P=RLzh
Wherein, LzhFor the reduced length of pipeline section；
(3) hot water network water force submodule
The hot water quality G of pipeline section is flowed through in the unit of account timen:
Wherein, QnFor the thermic load for the custom system that heats；tg、thFor confession, return water temperature；C is the specific heat capacity of water；N=1,2,
3……；
(4) least square method computational submodule
Calculate room temperature
Wherein, toutFor outdoor temperature；A is experiment coefficient；K is radiator heat transfer coefficient；τ is time delay coefficient；
Related coefficient a, k, τ are calculated using least square method；
(5) Kalman Prediction submodule
Room temperature is predicted using Kalman Prediction equation
State equation are as follows:
Observational equation are as follows:
For the state vector of n+1 moment room temperature；For n moment room temperature state vector；For the n+1 moment
The observation vector of Floating Car；ω n is system noise, and vn+1 is observation noise, it is assumed that they are the white Gaussian noises that mean value is zero,
And it is irrelevant；φ () is 8 dimensional vector equations, isThe nonlinear function of ω n and n；H () is 8 dimensional vector equations, isThe nonlinear function of vn+1 and n+1.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114263974A (en) * | 2021-12-09 | 2022-04-01 | 华能碳资产经营有限公司 | Central heating system flow control method and system based on regulating valve |
| CN115660325A (en) * | 2022-10-08 | 2023-01-31 | 国网山东省电力公司威海供电公司 | Power grid peak regulation capacity quantification method and system |
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