CN104965409B - A kind of industrial circulating water system energy consumption self-learning optimization control method - Google Patents
A kind of industrial circulating water system energy consumption self-learning optimization control method Download PDFInfo
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Abstract
The invention discloses a kind of industrial circulating water system energy consumption self-learning optimization control method.The present invention recognizes that work as working conditions change, cold Qd and outdoor enthalpy Eo is matched in " operating conditions parameter " form according to demand by automatic operating, sets equipment control parameter；If operating mode occurs first, adjusted by self-learning optimization, new equipment control parameter is set, equipment control parameter is continued to optimize in system operation.Ensure that system cold supply and demand is matched by automatic identification, it is to avoid system supply causes energy consumption to waste more than demand, or supply causes production impacted less than demand；Cold and outdoor enthalpy pass through the method tabled look-up according to demand, search the optimal control parameter under the logical operating mode of history, it is ensured that the stability of system control；Constantly optimize pepeline characteristic, it is ensured that energy consumption is minimum always in operation, finally realizes energy consumption Self-learning control, so as to realize the optimum control of industrial circulating water system by finely tuning the aperture of pipe network electrically operated valve in operation.
Description
Technical field
The present invention relates to industrial circulating water system power-saving technology, and in particular to a kind of industrial circulating water system energy consumption self study
Optimal control method.
Background technology
Industrial circulating water system typically mainly includes water circulating pump, pipe network, cooling tower, electrically operated valve and cooled equipment,
Wherein, water circulating pump connects cooled equipment by pipeline, and the equipment that is cooled connects cooling tower by pipeline, and cooling tower is by pipe
Road connects water pump, and electrically operated valve is set on pipeline, and all of pipeline constitutes pipe network, as shown in Figure 1.In industrial circulating water system
Main energy consumption equipment be water circulating pump and cooling tower, controllable parameter be water pump frequency, cooling tower frequency, electrically operated valve aperture,
For cooled equipment provides enough colds.Conventional energy-saving control method is generally the pump variable frequency of single consideration return water temperature.
Existing industrial circulating water system has following 4 features：
1. wide application：It is related to sintering, coking, ironmaking, steel-making, Rolling production whole process；
2. energy consumption is huge：By taking mini-medium mill as an example, only water pump year power consumption is just up to more than 300,000,000 degree；
3. automaticity is relatively low：It is used mostly manually operated, even if using automatic control system, control is required and level
Also it is not high；
4. the energy saving space is huge：Circulation as production accessory system, as long as cooling device temperature requirement can be met
, comparing extensive with management in control technology, energy-saving potential is huge.
The content of the invention
In view of the subordinate status of industrial circulating water system, energy consumption rich and influential family, equipment dispersion, the characteristics of automatization level is low, this
Invention proposes a kind of industrial circulating water system energy consumption self-learning optimization control method.
It is an object of the invention to provide a kind of industrial circulating water system energy consumption self-learning optimization control method.
Industrial circulating water system energy consumption self-learning optimization control system of the invention includes：Environmental sensor, controller and
Actuator；Wherein, environmental sensor includes outdoor temperature humidity sensor, flow sensor, cooling-water temperature sensor and hydraulic pressure sensor；
Actuator includes：The frequency converter of water pump, the frequency converter of cooling tower and electrically operated valve.
Industrial circulating water system energy consumption self-learning optimization control method of the invention, comprises the following steps：
1) demand cold Qd and outdoor enthalpy Eo and equipment control parameter index value ID is stored, composition one is with demand
Cold Qd and outdoor enthalpy Eo are " operating conditions parameter " form of index, storage and demand cold Qd and room in index value ID
Outer enthalpy Eo corresponding equipment control parameter, equipment control parameter includes water pump frequency Fp, cooling tower frequency Ft and motor-driven valve
Door aperture L；
2) actuator receives the equipment control parameter that controller is issued, and realizes the frequency conversion to the frequency converter, cooling tower of water pump
The control of device and electrically operated valve；
3) environmental sensor Real-time Collection sensing data, sensing data includes outdoor temperature Tw, outside humidity Dw, follows
Ring water enters return water temperature Tb, circulation flow V, the water pump that the supply water temperature Ts of cooling tower, recirculated water flow out cooling tower
Power P b and cooling tower power P t, and it is sent to controller；
4) controller automatic operating identification：
When the supply backwater temperature difference Dt (Dt=Tb-Ts) of circulation is in supply backwater temperature difference setting value Dt0Tolerance Δ Dt
In the range of fluctuate, and return water temperature Tb be no more than return water temperature limit value Tb0When, that is, meet Dt0-ΔDt≤Dt≤Dt0+ Δ Dt,
And Tb≤Tb0, then currently cooled device requirement cold is matched with circulation supply cold, judges that operating mode does not become
Change, then equipment control parameter is constant, return to step 2), conversely, supply cold is mismatched with demand cold, then operating mode becomes
Change, then need identification demand cold Qd and enter step 5 after calculating real-time outdoor enthalpy Eo)；
5) matching unit control parameter：
When operating mode changes, the search need cold Qd and outdoor enthalpy Eo in " operating conditions parameter " form, when
Demand cold has minimum value min | the Qd-Qd (i) | of the absolute value of the difference of demand cold Qd (i) with form<Δ Qd, Δ Qd
The tolerance of demand cold, and outdoor enthalpy Eo and the absolute value of the difference of existing outdoor enthalpy Eo (j) minimum value min | Eo-
Eo(j)|<Δ Eo, Δ Eo are the tolerance of outdoor enthalpy, then the match is successful, with the equipment control parameter value in index value ID (i, j)
It is equipment control parameter now, return to step 2)；
If searching for whole form without the equipment control parameter index value ID that can be matched, show that the operating mode occurs first,
Then enter step 6) water consumption Self-learning control is started the cycle over, wherein, i and j are respectively natural number；
6) energy consumption Self-learning control：
I. equipment control parameter initialization：
Demand cold was reached in order to ensure system supply cold before self study, to equipment control parameter (water pump frequency
Fp, cooling tower frequency Ft, electrically operated valve aperture L) initialized；
Ii. self-learning optimization regulation：
Purpose is while ensureing supply cold, by adjusting device control parameter reduction system energy consumption, first, to carry out electricity
Movable valve aperture L is adjusted, and electrically operated valve aperture is increased with constant speed, until return water temperature Tb no longer declines, is kept now
Electrically operated valve aperture L it is constant；
Then, equipment frequency modulation optimization is carried out, is divided into single device regulation, reversely regulation and regulation in the same direction, be separately recorded in five
Regulation adjusts the power of cooling tower power P t and pump power Pb during water pump frequency Fp and cooling tower frequency Ft in the case of kind
Minimum P1~the P5 of sum；
Finally, compare the minimum P1~P5 of power sum in the case of five kinds, select the minimum of minimum power sum
Min (P1 ... P5), corresponding equipment control parameter (water pump frequency Fp, cooling tower frequency Ft, electrically operated valve aperture L) is set
It is equipment control parameter now, by work information demand cold Qd, outdoor enthalpy Eo and equipment control parameter：Recirculated water pumping frequency
Rate Fp, cooling tower frequency Ft and electrically operated valve aperture L add " operating conditions parameter " form, and set up new equipment control parameter
Index value ID, completes Self-learning control, return to step 1).
Wherein, in step 4) in, supply cold is mismatched with demand cold, then system condition changes, then need to know
Other demand cold Qd simultaneously calculates real-time outdoor enthalpy Eo：
I. controller identification demand cold Qd, is divided into following two situations：
A) when working conditions change direction is that demand cold sets more than supply cold, i.e. supply backwater temperature difference more than supply backwater temperature difference
The tolerance of value, or return water temperature is more than return water temperature setting value, Dt>Dt0+ Δ Dt or Tb>Tb0, in order to ensure that shadow is not received in production
Ring, preferentially increase flow：Electrically operated valve aperture is increased with constant speed, until aperture reaches 100%；If supply backwater temperature difference or
Return water temperature changes or ascendant trend, and water pump frequency is increased with constant speed, the upper limit until reaching water pump frequency, while
Cooling tower frequency is increased with constant speed, the upper limit until reaching cooling tower frequency, or supply backwater temperature difference and return water temperature reach
Limit, that is, supply cold and be not less than demand cold, and circulation supply cold curve and confession are constantly drawn during regulation
Backwater temperature difference curve and return water temperature curve, after the completion of regulation, during according to supply backwater temperature difference curve or return water temperature knee of curve
Query demand cold Qd, Qd=C*V*Td are carved, wherein, C is the constant being directly proportional to fluid density；
B) when working conditions change direction is that demand cold is less than supply backwater temperature difference setting value less than supply cold, i.e. backwater temperature difference
Tolerance, or return water temperature be less than return water temperature setting value, Dt<Dt0- Δ Dt or Tb<Tb0, system for the purposes of do not influence life
Produce, record electrically operated valve aperture L (t0) of this moment t0, only with constant rate reduction electrically operated valve aperture, until supplying backwater
The temperature difference and return water temperature are up to limit, while supply backwater temperature difference curve or the demand cold Qd at return water temperature knee of curve moment are recorded,
Electrically operated valve aperture is reversely adjusted to L (t0) after the completion of identification；
Ii. the low-temperature receiver of industrial circulating water system comes from air, and the change of weather is influence circulation supply cold
With the primary outer factor of energy consumption, therefore need to calculate real-time outdoor enthalpy Eo while operating mode's switch：
Eo=1.01Tw+ (2500+1.84Tw) Dw (1)
The calculating of completion demand cold Qd and outdoor enthalpy Eo, then operating mode's switch work is completed.
In step 6) i. equipment control parameter initialization in, specifically include following two situations：
A) search need cold Qd is with existing demand cold Q (i) difference of form in " operating conditions parameter " form
Negative and minimum and outdoor enthalpy Eo is negative and minimum with existing outdoor enthalpy Eo (j) difference of form, controls to join with this equipment
Equipment control parameter in number index value ID (i, j) is initial optimization parameter, i.e. water pump frequency Fp (t+0)=Fp (i, j), cooling
Tower frequency Ft (t+0)=Ft (i, j), electrically operated valve aperture L (t+0)=L (i, j), wherein Fp (i, j), Ft (i, j) and L (i, j)
The water pump frequency of storage, cooling tower frequency and electrically operated valve aperture respectively in equipment control parameter index value ID (i, j)；
If b) existing demand cold Qd (i) of form is respectively less than now demand cold Qd, or existing outdoor enthalpy Eo
J () is respectively less than outdoor enthalpy Eo now, then join the initialization of water pump frequency Fp, cooling tower frequency Ft, electrically operated valve aperture L
Number is set to value when supply backwater temperature difference Td during operating mode's switch or return water temperature Tb flex points.
In step 6) the regulation of ii. self-learning optimizations in, regulation water pump frequency Fp in the case of being separately recorded in five kinds
With the minimum P1~P5 of the power sum of cooling tower power P t and pump power Pb during cooling tower frequency Ft, specifically include
Five kinds of situations below：
A) single device regulation：
Individually regulation water pump frequency Fp, makes water pump frequency with constant rate reduction, until water pump frequency Fp reaches water pump
The lower limit of frequency, or the power sum of cooling tower power P t and pump power Pb is no longer reduced, or cold meets Qd- Δs Qt in real time
≤ Qt≤Qd+ Δ Qt, Δ Qt is the undulate quantity of demand cold, the minimum P1 of record power sum now；
Individually regulation cooling tower frequency Ft, makes cooling tower frequency Ft with constant rate reduction, until cooling tower frequency reaches
Power sum to the lower limit of cooling tower frequency, or cooling tower power P t and pump power Pb is no longer reduced, or cold is expired in real time
Sufficient Qd- Δs Qt≤Qt≤Qd+ Δ Qt, the minimum P2 of record power sum now；
B) reversely regulation：
Regulation water pump frequency Fp is with constant rate reduction, while cooling tower frequency Ft is increased with constant speed；Until
Water pump frequency Fp reaches the lower limit of water pump frequency, or cooling tower frequency Ft reaches the upper limit of cooling tower frequency, or cooling tower power
The power sum of Pt and pump power Pb is no longer reduced, or cold Qd- Δs Qt≤Qt≤Qd+ Δ Qt, Δ Qt is that demand is cold in real time
The undulate quantity of amount, the minimum P3 of recording power sum；
Regulation water pump frequency Fp is increased with constant speed, while cooling tower frequency is with constant rate reduction；Until water
Pump frequency Fp reaches the upper limit of water pump frequency, or cooling tower frequency reaches the lower limit of cooling tower frequency, or cooling tower power P t and
Pump power Pb sums are no longer reduced, or cold meets Qd- Δs Qt≤Qt≤Qd+ Δ Qt in real time, recording power sum it is minimum
Value P4；
C) regulation in the same direction：
Water pump frequency Fp is with constant rate reduction for regulation, while cooling tower frequency is with constant rate reduction；Until water
Pump frequency Fp reaches the lower limit of water pump frequency, or cooling tower frequency reaches the lower limit of cooling tower frequency, or cooling tower power P t and
Pump power Pb sums are no longer reduced, or cold meets Qd- Δs Qt≤Qt≤Qd+ Δ Qt in real time, recording power sum it is minimum
Value P5.
Further, because Changes in weather and technique change cause working conditions change in system operation, but it is new to be not enough to triggering
Operating mode when producing, be to realize internal Automatic parameter optimization, control method of the invention also includes self-optimizing control, specifically includes
Following steps：
I. by gathering the flow V and pump power Pb of the inlet pressure Pi of water pump, outlet pressure Po, circulation,
Calculate pump efficiency ρp：
Wherein, C is the constant being directly proportional to fluid density；
Ii. by gathering Inlet water temperature Ti, outlet temperature To, circulation flow V and the cooling tower work(of cooling tower
Rate Pt, calculates efficiency of cooling tower ρt：
Wherein, B is the constant being directly proportional to fluid density and specific heat capacity；
Iii. due to the linear relationship of relative discharge V/Vmax and relative opening degree L/Lmax, optimized algorithm is electronic by finely tuning
Valve opening L, so as to change flow V, fine setting amplitude is between current aperture allowed band so that pump efficiency ρpAnd cooling tower
Efficiency ρtMaximum is reached, real time energy consumption self-optimizing control is finally realized.Allowed band is ± 10%.
Advantages of the present invention：
The present invention recognizes that work as working conditions change, cold Qd and outdoor enthalpy Eo are in " operating mode control according to demand by automatic operating
Matched in parameter processed " form, equipment control parameter is set；If the Qd and Eo that do not match in form, operating mode is first
Occur, adjusted by self-learning optimization, new equipment control parameter is set, equipment control ginseng is continued to optimize in system operation
Number.Ensure that system cold supply and demand is matched by automatic identification, it is to avoid system supply causes energy consumption to waste more than demand, or
Supply causes production impacted less than demand；Cold and outdoor enthalpy pass through the method tabled look-up according to demand, search the logical work of history
Optimal control parameter under condition, it is ensured that the stability of system control；In operation constantly by finely tuning opening for pipe network electrically operated valve
Degree, optimizes pepeline characteristic, it is ensured that energy consumption is minimum always in operation, finally realizes energy consumption Self-learning control, so as to realize that industry is followed
The optimum control of ring water system.
Brief description of the drawings
Fig. 1 is the structured flowchart of existing industrial circulating water system；
Fig. 2 is the structured flowchart of industrial circulating water system energy consumption self-learning optimization control device of the invention；
Fig. 3 is the flow chart of industrial circulating water system energy consumption self-learning optimization control method of the invention.
Specific embodiment
Below in conjunction with the accompanying drawings, by embodiment, the present invention will be further described.
As shown in Fig. 2 the industrial circulating water system energy consumption self-learning optimization control system of the present embodiment includes：Environmentally sensitive
Device, controller and actuator；Wherein, environmental sensor include outdoor temperature humidity sensor, line sensor, pump sensor and
Cooling tap transducer；Actuator includes：The frequency converter of water pump, the frequency converter of cooling tower and electrically operated valve.
As shown in figure 3, the industrial circulating water system energy consumption self-learning optimization control of the present embodiment, comprises the following steps：
1) demand cold Qd and outdoor enthalpy Eo and equipment control parameter index value ID is stored, composition one is with demand
Cold Qd and outdoor enthalpy Eo are " operating conditions parameter " form of index；
2) the equipment control parameter of controller control actuator, equipment control parameter includes water pump frequency Fp, cooling tower frequently
Rate Ft and electrically operated valve aperture L；
3) environmental sensor Real-time Collection sensing data, sensing data includes outdoor temperature Tw, outside humidity Dw, follows
Ring water enters return water temperature Tb, circulation flow V, the water pump that the supply water temperature Ts of cooling tower, recirculated water flow out cooling tower
Power P b and cooling tower power P t, and these sensing datas are sent to controller；
4) controller automatic operating identification：
As supply backwater temperature difference Dt, the Dt=Tb-Ts of circulation, in supply backwater temperature difference setting value Dt0Tolerance Δ Dt
Fluctuated in the range of=1 °, and return water temperature Tb is no more than return water temperature limit value Tb0When, that is, meet Dt0-1°≤Dt≤Dt0+ 1 °,
And Tb≤Tb0, then currently cooled device requirement cold is matched with circulation supply cold, judges that operating mode does not become
Change, then equipment control parameter is constant, return to step 2), conversely, supply cold is mismatched with demand cold, then operating mode becomes
Change, then recognize demand cold Qd and enter step 5 after calculating real-time outdoor enthalpy Eo)；
I. controller identification demand cold Qd, is divided into following two situations：
A) when working conditions change direction is that demand cold sets more than supply cold, i.e. supply backwater temperature difference more than supply backwater temperature difference
The tolerance of value, or return water temperature is more than return water temperature setting value, Dt>Dt0+ 1 ° or Tb>Tb0, it is unaffected in order to ensure production,
It is preferential to increase flow：Electrically operated valve aperture is increased with 10% speed, until aperture reaches 100%；If supply backwater temperature difference is returned
Coolant-temperature gage changes or ascendant trend, increases water pump frequency with the speed of 5Hz/s, until reaching 50Hz, while with the speed of 7Hz/s
Rate increases cooling tower frequency, the upper limit 50Hz until reaching cooling tower frequency, or supply backwater temperature difference and return water temperature up to limit, that is, supply
It is not less than demand cold to cold, circulation supply cold curve and supply backwater temperature difference is constantly drawn during regulation
Curve and return water temperature curve, after the completion of regulation, according to supply backwater temperature difference curve or return water temperature knee of curve moment inquiry need
Cold Qd, Qd=C*V*Td are asked, wherein, C is the constant being directly proportional to fluid density；
B) when working conditions change direction is that demand cold is less than supply backwater temperature difference setting value less than supply cold, i.e. backwater temperature difference
Tolerance, or return water temperature be less than return water temperature setting value, Dt<Dt0- 1 ° or Tb<Tb0, system for the purposes of do not influence production,
Electrically operated valve aperture L (t0) of this moment t0 is recorded, only with the rate reduction electrically operated valve aperture of 5%/s, until supplying backwater temperature
Difference and return water temperature are up to limit, while recording supply backwater temperature difference curve or the demand cold Qd at return water temperature knee of curve moment, know
Electrically operated valve aperture is reversely adjusted to L (t0) after the completion of not；
Ii. outdoor enthalpy Eo is calculated：Eo=1.01Tw+ (2500+1.84Tw) Dw
The calculating of completion demand cold Qd and outdoor enthalpy Eo, then operating mode's switch work is completed；
5) matching unit control parameter：
When operating mode changes, the search need cold Qd and outdoor enthalpy Eo in " operating conditions parameter " form, when
Demand cold demand cold difference lower limit min | Qd-Qd (i) | existing with form<Qd*10%, and outdoor enthalpy Eo with it is existing
Minimum value min | the Eo-Eo (j) | of the absolute value of the difference of outdoor enthalpy Eo (j)<Eo*8%, then the match is successful, with index value ID
Equipment control parameter value in (i, j) is equipment control parameter (water pump frequency Fp, cooling tower frequency Ft and electrically operated valve now
Aperture L), return to step 2)；
If traversal search whole table shows that the operating mode goes out first without the equipment control parameter index value ID that can be matched
It is existing, then into step 6) water consumption Self-learning control is started the cycle over, wherein, i and j are respectively natural number；
6) energy consumption Self-learning control：
I. equipment control parameter initialization：
A) search need cold Qd is with existing demand cold Q (i) difference of form in " operating conditions parameter " form
Negative and minimum and outdoor enthalpy Eo is negative and minimum with existing outdoor enthalpy Eo (j) difference of form, controls to join with this equipment
Equipment control parameter in number index value ID (i, j) is initial optimization parameter, i.e. water pump frequency Fp (t+0)=Fp (i, j), cooling
Tower frequency Ft (t+0)=Ft (i, j), electrically operated valve aperture L (t+0)=L (i, j), wherein, Fp (t+0), Ft (t+0) and L (t+
0) it is respectively the initiation parameter of water pump frequency, cooling tower frequency and electrically operated valve aperture in t；
If b) existing demand cold Qd (i) of form is respectively less than now demand cold Qd, or existing outdoor enthalpy Eo
J () is respectively less than outdoor enthalpy Eo now, then join the initialization of water pump frequency Fp, cooling tower frequency Ft, electrically operated valve aperture L
Number is set to value when supply backwater temperature difference Td during operating mode's switch or return water temperature Tb flex points；
Ii. self-learning optimization regulation：
First, electrically operated valve aperture L regulations are carried out, electrically operated valve aperture is increased with the speed of 5%/s, until return water temperature
Tb no longer declines, and keeps electrically operated valve aperture L now constant；
Then, equipment frequency modulation optimization is carried out, is divided into single device regulation, reversely regulation and regulation in the same direction：
A) single device regulation：
Individually regulation water pump frequency Fp, makes water pump frequency with the rate reduction of 1Hz/s, until water pump frequency Fp reaches
35Hz, or the power sum of cooling tower power P t and pump power Pb is no longer reduced, or in real time cold meet Qd-Qd*0.5%≤
Qt≤Qd+Qd*0.5%, the minimum P1 of record power sum now；
Individually regulation cooling tower frequency Ft, makes cooling tower frequency Ft with the rate reduction of 2Hz/s, until cooling tower frequency reaches
Power sum to 35Hz, or cooling tower power P t and pump power Pb is no longer reduced, or cold meets Qd-Qd*0.5% in real time
≤ Qt≤Qd+Qd*0.5%, the minimum P2 of record power sum now；
B) reversely regulation：
Regulation water pump frequency Fp is with the rate reduction of 1Hz/s, while cooling tower frequency Ft is increased with the speed of 2Hz/s；Directly
Reach 35Hz to water pump frequency Fp, or cooling tower frequency Ft reaches 50Hz, or cooling tower power P t and pump power Pb power
Sum is no longer reduced, or cold Qd-Qd*0.5%≤Qt≤Qd+Qd*0.5%, the minimum P3 of recording power sum in real time；
Regulation water pump frequency Fp is increased with the speed of 1Hz/s, while cooling tower frequency is with the rate reduction of 2Hz/s；Until
Water pump frequency Fp reaches 50Hz, or cooling tower frequency reaches 35Hz, or cooling tower power P t and pump power Pb sums no longer drop
It is low, or cold meets Qd-Qd*0.5%≤Qt≤Qd+Qd*0.5%, the minimum P4 of recording power sum in real time；
C) regulation in the same direction：
Water pump frequency Fp is with the rate reduction of 1Hz/s for regulation, while cooling tower frequency is with the rate reduction of 2Hz/s；Until
Water pump frequency Fp reaches 35Hz, or cooling tower frequency reaches 35Hz, or cooling tower power P t and pump power Pb sums no longer drop
It is low, or cold meets Qd-Qd*0.5%≤Qt≤Qd+Qd*0.5%, the minimum P5 of recording power sum in real time；
Finally, compare the minimum P1~P5 of power sum in the case of five kinds, select the minimum of minimum power sum
Min (P1 ... P5), corresponding equipment control parameter (water pump frequency Fp, cooling tower frequency Ft, electrically operated valve aperture L) is set
Be equipment control parameter now, by work information demand cold Qd, outdoor enthalpy Eo and control parameter water circulating pump frequency Fp,
Cooling tower frequency Ft, electrically operated valve aperture L add " operating conditions parameter " form, complete Self-learning control, return to step 1).
It is finally noted that, the purpose for publicizing and implementing mode is that help further understands the present invention, but ability
The technical staff in domain is appreciated that：Without departing from the spirit and scope of the invention and the appended claims, it is various replacement and
Modification is all possible.Therefore, the present invention should not be limited to embodiment disclosure of that, the scope of protection of present invention with
The scope that claims are defined is defined.
Claims (5)
1. a kind of industrial circulating water system energy consumption self-learning optimization control method, industrial circulating water system energy consumption self-learning optimization control
System processed includes：Environmental sensor, controller and actuator；Wherein, environmental sensor includes outdoor temperature humidity sensor, flow
Sensor, cooling-water temperature sensor and hydraulic pressure sensor；Actuator includes：The frequency converter of water pump, the frequency converter of cooling tower and motor-driven valve
Door, it is characterised in that the control method is comprised the following steps：
1) demand cold Qd and outdoor enthalpy Eo and equipment control parameter index value ID is stored, composition one is with demand cold
Qd and outdoor enthalpy Eo are " operating conditions parameter " form of index, storage and demand cold Qd and outdoor enthalpy in index value ID
Value Eo corresponding equipment control parameter, equipment control parameter is opened including water pump frequency Fp, cooling tower frequency Ft and electrically operated valve
Degree L；
2) actuator receives the equipment control parameter that controller is issued, realize to the frequency converter of water pump, the frequency converter of cooling tower and
The control of electrically operated valve；
3) environmental sensor Real-time Collection sensing data, sensing data includes outdoor temperature Tw, outside humidity Dw, recirculated water
Supply water temperature Ts, recirculated water into cooling tower flow out return water temperature Tb, circulation flow V, the pump power of cooling tower
Pb and cooling tower power P t, and it is sent to controller；
4) controller automatic operating identification：
When the supply backwater temperature difference Dt of circulation is in supply backwater temperature difference setting value Dt0Tolerance Δ Dt in the range of fluctuate, Dt=
Tb-Ts, Ts are the supply water temperature that recirculated water enters cooling tower, and return water temperature Tb is no more than return water temperature limit value Tb0When, i.e.,
Meet Dt0-ΔDt≤Dt≤Dt0+ Δ Dt, and Tb≤Tb0, then currently cooled device requirement cold is supplied with circulation
Cold is matched, and judges that operating mode does not change, then equipment control parameter is constant, return to step 2), conversely, supplying cold and needing
Ask cold to mismatch, then operating mode changes, then need identification demand cold Qd and enter after calculating real-time outdoor enthalpy Eo
Step 5)；
5) matching unit control parameter：
When operating mode changes, the search need cold Qd and outdoor enthalpy Eo in " operating conditions parameter " form works as demand
Cold has minimum value min | the Qd-Qd (i) | of the absolute value of the difference of demand cold Qd (i) with form<Δ Qd, Δ Qd are to need
Seek the tolerance of cold, and outdoor enthalpy Eo and the absolute value of the difference of existing outdoor enthalpy Eo (j) minimum value min | Eo-Eo
(j)|<Δ Eo, Δ Eo are the tolerance of outdoor enthalpy, then the match is successful, is with the equipment control parameter value in index value ID (i, j)
Equipment control parameter now, return to step 2)；
If searching for whole form without the equipment control parameter index value ID that can be matched, show that the operating mode occurs first, then enter
Enter step 6) water consumption Self-learning control is started the cycle over, wherein, i and j are respectively natural number；
6) energy consumption Self-learning control：
I. equipment control parameter initialization：
Equipment control parameter is initialized；
Ii. self-learning optimization regulation：
First, electrically operated valve aperture L regulations are carried out, electrically operated valve aperture are increased with constant speed, until return water temperature Tb not
Decline again, keep electrically operated valve aperture L now constant；
Then, equipment frequency modulation optimization is carried out, is divided into single device regulation, reversely regulation and regulation in the same direction, be separately recorded in five kinds of feelings
Condition lower water saving pump frequency Fp and cooling tower frequency Ft during cooling tower power P t and pump power Pb power sum most
Low value P1~P5；
Finally, compare the minimum P1~P5 of power sum in the case of five kinds, select the minimum min of minimum power sum
(P1 ... P5), corresponding equipment control parameter is set to equipment control parameter now, by work information demand cold Qd,
Outdoor enthalpy Eo and equipment control parameter：Water circulating pump frequency Fp, cooling tower frequency Ft and electrically operated valve aperture L add " operating mode
Control parameter " form, and new equipment control parameter index value ID is set up, complete Self-learning control, return to step 1).
2. control method as claimed in claim 1, it is characterised in that in step 4) in, identification demand cold Qd simultaneously calculates reality
When outdoor enthalpy Eo：
I. controller identification demand cold Qd, is divided into following two situations：
A) when working conditions change direction is that demand cold is more than supply backwater temperature difference setting value more than supply cold, i.e. supply backwater temperature difference
Tolerance, or return water temperature is more than return water temperature setting value, Dt>Dt0+ Δ Dt or Tb>Tb0, it is unaffected in order to ensure production, it is excellent
First increase flow：Electrically operated valve aperture is increased with constant speed, until aperture reaches 100%；If supply backwater temperature difference or backwater
Temperature change or ascendant trend, water pump frequency, the upper limit until reaching water pump frequency, while with perseverance are increased with constant speed
Fixed speed increases cooling tower frequency, the upper limit until reaching cooling tower frequency, or supply backwater temperature difference and return water temperature up to limit, i.e.,
Supply cold is not less than demand cold, and circulation supply cold curve is constantly drawn during regulation and backwater temperature is supplied
Difference curve and return water temperature curve, after the completion of regulation, inquire about according to supply backwater temperature difference curve or return water temperature knee of curve moment
Demand cold Qd, Qd=C*V*Td, wherein, C is the constant being directly proportional to fluid density, and V is circulation flow, and Td is work
Supply backwater temperature difference when condition is recognized；
B) when working conditions change direction is appearance of the demand cold less than supply cold, i.e. backwater temperature difference less than supply backwater temperature difference setting value
Difference, or return water temperature is less than return water temperature setting value, Dt<Dt0- Δ Dt or Tb<Tb0, system for the purposes of do not influence production, note
Record electrically operated valve aperture L (t0) of this moment t0, only with constant rate reduction electrically operated valve aperture, until supply backwater temperature difference and
Return water temperature, while recording supply backwater temperature difference curve or the demand cold Qd at return water temperature knee of curve moment, has been recognized up to limit
Reversely adjusted to L (t0) into rear electrically operated valve aperture；
Ii. real-time outdoor enthalpy Eo is calculated：
Eo=1.01Tw+ (2500+1.84Tw) Dw
The calculating of completion demand cold Qd and outdoor enthalpy Eo, then operating mode's switch work is completed.
3. control method as claimed in claim 1, it is characterised in that in step 6) the initialization of i. equipment control parameter include
Following two situations：
A) in " operating conditions parameter " form search need cold Qd and existing demand cold Q (i) difference of form for negative and
Minimum and outdoor enthalpy Eo is negative and minimum with existing outdoor enthalpy Eo (j) difference of form, with this equipment control parameter rope
Draw the equipment control parameter in value ID (i, j) for initial optimization parameter, i.e. water pump frequency Fp (t+0)=Fp (i, j), cooling tower is frequently
Rate Ft (t+0)=Ft (i, j), electrically operated valve aperture L (t+0)=L (i, j), wherein Fp (i, j), Ft (i, j) and L (i, j) are respectively
It is the water pump frequency of storage, cooling tower frequency and electrically operated valve aperture in equipment control parameter index value ID (i, j)；
If b) existing demand cold Qd (i) of form is respectively less than now demand cold Qd, or existing outdoor enthalpy Eo (j) is
Less than outdoor enthalpy Eo now, then the initiation parameter of water pump frequency Fp, cooling tower frequency Ft, electrically operated valve aperture L is set
Supply backwater temperature difference Td or the value during return water temperature Tb flex points when being set to operating mode's switch.
4. control method as claimed in claim 1, it is characterised in that in step 6) the regulation of ii. self-learning optimizations in, respectively
Regulation adjusts cooling tower power P t and pump power during water pump frequency Fp and cooling tower frequency Ft to record in five cases
Minimum P1~the P5 of the power sum of Pb, specifically includes following five kinds of situations：
A) single device regulation：
Individually regulation water pump frequency Fp, makes water pump frequency with constant rate reduction, until water pump frequency Fp reaches water pump frequency
Lower limit, or the power sum of cooling tower power P t and pump power Pb no longer reduces, or cold meets Qd- Δs Qt≤Qt in real time
≤ Qd+ Δ Qt, Δ Qt are the undulate quantity of demand cold, the minimum P1 of record power sum now；
Individually regulation cooling tower frequency Ft, makes cooling tower frequency Ft with constant rate reduction, until cooling tower frequency reach it is cold
The power sum of the but lower limit of tower frequency, or cooling tower power P t and pump power Pb is no longer reduced, or cold meets Qd- in real time
Δ Qt≤Qt≤Qd+ Δ Qt, the minimum P2 of record power sum now；
B) reversely regulation：
Regulation water pump frequency Fp is with constant rate reduction, while cooling tower frequency Ft is increased with constant speed；Until water pump
Frequency Fp reaches the lower limit of water pump frequency, or cooling tower frequency Ft reaches the upper limit of cooling tower frequency, or cooling tower power P t and
The power sum of pump power Pb is no longer reduced, or cold Qd- Δs Qt≤Qt≤Qd+ Δ Qt, Δ Qt is demand cold in real time
Undulate quantity, the minimum P3 of recording power sum；
Regulation water pump frequency Fp is increased with constant speed, while cooling tower frequency is with constant rate reduction；Until water pump frequently
Rate Fp reaches the upper limit of water pump frequency, or cooling tower frequency reaches the lower limit of cooling tower frequency, or cooling tower power P t and water pump
Power P b sums are no longer reduced, or cold meets Qd- Δs Qt≤Qt≤Qd+ Δ Qt, the minimum P4 of recording power sum in real time；
C) regulation in the same direction：
Water pump frequency Fp is with constant rate reduction for regulation, while cooling tower frequency is with constant rate reduction；Until water pump frequently
Rate Fp reaches the lower limit of water pump frequency, or cooling tower frequency reaches the lower limit of cooling tower frequency, or cooling tower power P t and water pump
Power P b sums are no longer reduced, or cold meets Qd- Δs Qt≤Qt≤Qd+ Δ Qt, the minimum P5 of recording power sum in real time.
5. control method as claimed in claim 1, it is characterised in that further include self-optimizing control, comprise the following steps：
I. by gathering the flow V and pump power Pb of the inlet pressure Pi of water pump, outlet pressure Po, circulation, water pump is calculated
Efficiency ρp：
Wherein, C is the constant being directly proportional to fluid density；
Ii. by gathering Inlet water temperature Ti, outlet temperature To, circulation flow V and the cooling tower power P t of cooling tower,
Calculate efficiency of cooling tower ρt：
Wherein, B is the constant being directly proportional to fluid density and specific heat capacity；
Iii. the linear relationship of relative discharge V/Vmax and relative opening degree L/Lmax, optimized algorithm is by finely tuning electrically operated valve aperture
L, so as to change flow V, fine setting amplitude is between current aperture allowed band so that pump efficiency ρpWith efficiency of cooling tower ρtReach
To maximum, real time energy consumption self-optimizing control is finally realized.
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