CN108534412A - A kind of host supervision device and the estimation technique for maximum likelihood estimate - Google Patents

A kind of host supervision device and the estimation technique for maximum likelihood estimate Download PDF

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Publication number
CN108534412A
CN108534412A CN201810241997.8A CN201810241997A CN108534412A CN 108534412 A CN108534412 A CN 108534412A CN 201810241997 A CN201810241997 A CN 201810241997A CN 108534412 A CN108534412 A CN 108534412A
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cooling water
cooling
heat source
source unit
water outlet
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CN108534412B (en
Inventor
蔡小兵
郭林
孙应松
王琪玮
张炳文
张槐义
孙云松
何波波
罗庆保
袁立新
刘福海
郭云霞
吴林
王鹏宇
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GUIZHOU HUITONG HUACHENG Co Ltd
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GUIZHOU HUITONG HUACHENG Co Ltd
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    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F25REFRIGERATION OR COOLING; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS; MANUFACTURE OR STORAGE OF ICE; LIQUEFACTION SOLIDIFICATION OF GASES
    • F25BREFRIGERATION MACHINES, PLANTS OR SYSTEMS; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS
    • F25B49/00Arrangement or mounting of control or safety devices
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24HEATING; RANGES; VENTILATING
    • F24DDOMESTIC- OR SPACE-HEATING SYSTEMS, e.g. CENTRAL HEATING SYSTEMS; DOMESTIC HOT-WATER SUPPLY SYSTEMS; ELEMENTS OR COMPONENTS THEREFOR
    • F24D19/00Details
    • F24D19/10Arrangement or mounting of control or safety devices
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02DCLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D10/00Energy efficient computing, e.g. low power processors, power management or thermal management

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Thermal Sciences (AREA)
  • Mechanical Engineering (AREA)
  • General Engineering & Computer Science (AREA)
  • Chemical & Material Sciences (AREA)
  • Combustion & Propulsion (AREA)
  • Air Conditioning Control Device (AREA)
  • Other Air-Conditioning Systems (AREA)

Abstract

The present invention provides a kind of host supervision devices for maximum likelihood estimate, including Cooling and Heat Source unit and Energy Efficiency Analysis instrument;The Cooling and Heat Source unit is equipped with cooling water inlet, cooling water outlet, cooling water inlet and cooling water outlet, is connected separately with water pipe on cooling water inlet, cooling water outlet, cooling water inlet and cooling water outlet, temperature sensor is equipped on water pipe line;The Energy Efficiency Analysis instrument includes parameter collection module, electric supervising device and connecting terminal block, it is communicated to connect between the electric supervising device and parameter collection module, it is connect with connecting terminal block by cable connection, parameter collection module and electric supervising device between electric supervising device and Cooling and Heat Source unit.The present invention can be to Cooling and Heat Source unit, that is refrigeration unit, recuperation of heat unit, earth source heat pump the unit efficiency under different operating conditions is monitored, by the energy efficiency monitoring to Cooling and Heat Source unit under different operating conditions, decision and foundation are provided for the energy-saving scheme of follow-up central air-conditioning.

Description

A kind of host supervision device and the estimation technique for maximum likelihood estimate
Technical field
The present invention relates to a kind of host supervision device and the estimation technique for maximum likelihood estimate, belong to Heating,Ventilating and Air Conditioning, Energy meter technical field.
Background technology
Preparation of the Cooling and Heat Source unit for the cold/hot water in central air conditioner system.The efficiency of energy utilization of Cooling and Heat Source unit Closely related with its service condition, service condition refers to the operating condition of Cooling and Heat Source unit, i.e., two when Cooling and Heat Source unit works The device temperature difference and unit load, and the two device temperature difference are expressed as the condensation temperature of cryogen, the difference of evaporating temperature.
It is load frequently with nominal condition coefficient of performance or comprehensive part to unit efficiency on internal and international at present Can coefficient IPLV indexs characterize;Either the nominal condition coefficient of performance or Integrated part-load value, unit is once It puts into production operation, will no longer have test condition, because the measurement of two kinds of coefficients of performance is all to its cold water flow, cooling flow Amount, cold water temperature, cooling water temperature, evaporator water side sealing factor, Water in Condenser side sealing factor etc. have made detail requirement, These conditions could only support under test conditions, so being made with the ratio of traditional accumulative output cold and accumulative electricity consumption Energy efficiency indexes for the unit are unreasonable, which objective to the progress of the efficiency situation of the unit in operation can not have The evaluation of effect is unfavorable for central air-conditioning energy so that it cannot carry out effective maintaining plan and accurate technology decision-making The development of consumption reduction work;Operational energy efficiency of the operating unit under different operating modes can provide guidance to the upgrading of its unit and make With however being difficult to the monitoring of unit efficiency under different operating modes, the reason is that handpiece Water Chilling Units become on operating condition in the process of running Change, especially open, stopping process operating mode can change very big, cause to be difficult to accurately measure efficiency;Therefore, how from Reasonable accurate data, the objective and accurate operational energy efficiency for measuring Cooling and Heat Source unit, it has also become HVAC are filtered out in numerous test datas The technical barrier of air conditioner energy saving consumption reduction work urgent need to resolve.
A variety of methods are provided for energy efficiency monitoring in the prior art, but can not achieve with maximum likelihood estimate guest The measurement operational energy efficiency of sight, such as Chinese patent " central air-conditioning system energy efficiency real-time monitoring system and method (publication number: CN101975673A, publication date:2011.2.16 method disclosed in) ", this method only obtain the real-time load data of air-conditioning, make Be compared with real-time energy consumption data, obtain real-time CEC values, efficiency obtained with CEC values, but it is difficult to pass through this method To obtain most reasonable energy valid value, any method that may relate to maximum likelihood estimate is not mentioned completely in that patent yet.
Invention content
In order to solve the above technical problems, the present invention provides a kind of host supervision device for maximum likelihood estimate and The estimation technique, this is used for the host supervision device of maximum likelihood estimate and the estimation technique using maximum likelihood estimate to Cooling and Heat Source machine Group efficiency data are handled, and can be carried out energy efficiency monitoring under different operating conditions to Cooling and Heat Source unit, reach and allow central hollow The energy-saving purpose adjusted.
The present invention is achieved by the following technical programs.
A kind of host supervision device for maximum likelihood estimate provided by the invention, including Cooling and Heat Source unit and efficiency Analyzer;The Cooling and Heat Source unit be equipped with cooling water inlet, cooling water outlet, cooling water inlet and cooling water outlet, cold water into It is connected separately with water pipe on mouth, cooling water outlet, cooling water inlet and cooling water outlet, temperature sensing is equipped on water pipe line Device;The Energy Efficiency Analysis instrument includes parameter collection module, electric supervising device and connecting terminal block, the electric supervising device and parameter It is communicated to connect between acquisition module, passes through cable connection, parameter collection module and electricity between electric supervising device and Cooling and Heat Source unit Power monitor is connect with connecting terminal block;The temperature sensor is connected to parameter collection module by connecting terminal block;
The temperature sensor is used to detect the temperature of cooling water inlet, cooling water outlet, cooling water inlet and cooling water outlet water Degree;
The parameter collection module is used to acquire the operating parameter of Cooling and Heat Source unit under different operating conditions, operating parameter packet Include the flow of cooling water inlet, cooling water outlet, cooling water inlet, the temperature of cooling water outlet water and cooling water outlet, cooling water inlet Amount;
The parameter collection module is used to acquire the operation power consumption of Cooling and Heat Source unit under different operating conditions, and is adopted in parameter There is history efficiency in collection module;
The parameter collection module is used to that operating parameter and operation power consumption to be analyzed, calculated and be counted, and establishes energy Imitate distribution table;
The parameter collection module can be also used for cooling water inlet, cooling water outlet, cooling water inlet and cooling water outlet temperature The automatic calibration of difference.
The Cooling and Heat Source unit includes evaporator and condenser, and cooling water inlet and cooling water outlet setting are on an evaporator, cold But water inlet and cooling water outlet are arranged on condenser.
The temperature sensor is divided into cooling water inlet temperature sensor, cold water outlet temperature sensor, cooling water inlet temperature Sensor, cooling water outlet temperature sensor are spent, cooling water inlet temperature sensor is mounted on cold water inlet tube road, cooling water outlet Temperature sensor is mounted on cooling water outlet pipeline, and cooling water inlet temperature sensor is mounted on cooling water outlet pipe road, cold But water outlet temperature sensor is mounted on cooling water inlet pipeline.
When the Cooling and Heat Source unit is refrigeration unit, flow sensor I, Cooling and Heat Source machine are installed on cooling water outlet pipeline When group is recuperation of heat unit and earth source heat pump unit, flow sensor II is installed on cooling water inlet pipeline;The flow Sensor I is used to detect the water flow of cooling water outlet, and flow sensor II is used to detect the water flow of cooling water inlet.
The flow sensor I and flow sensor II are connect by connecting terminal block with parameter collection module, use It is RS-485 communication interfaces.
The Energy Efficiency Analysis instrument further includes touch display screen, and touch display screen is communicated to connect with parameter collection module;It is described Touch display screen is used to show the operating parameter of Cooling and Heat Source unit.
The touch display screen and electric supervising device are communicatively connected to parameter collection module by RS-485.
Based on a kind of maximum likelihood estimate that the host supervision device for maximum likelihood estimate carries out, seemingly by maximum Right estimation technique input parameter acquisition module, by the maximum likelihood estimate in parameter collection module to operating parameter and operation work( Consumption is analyzed, calculated and is counted, and establishes efficiency distribution table, is included the following steps:
1. the specified heating of Cooling and Heat Source unit/cold is inputted efficiency analyzer;
2. acquiring the operating parameter and operation power consumption of Cooling and Heat Source unit by parameter collection module;
3. efficiency of the Cooling and Heat Source unit under the operating condition in calculating step 2. with parameter collection module;
4. by parameter collection module query steps 2. in Cooling and Heat Source unit history efficiency;
5. by step 3. in Cooling and Heat Source unit efficiency and step 4. in history efficiency carry out maximum likelihood algorithm processing, The reasonable energy valid value of Cooling and Heat Source unit is obtained, and is stored;
6. repeat step 2.~5., by several Cooling and Heat Source units it is reasonable energy valid value and operating condition be built into a Zhang San Tie up efficiency distribution table.
3. the step is divided into following steps:
(3.1) with step 2. in operating parameter calculate Cooling and Heat Source unit heating/cold;
(3.2) use heating/cold in step (3.1) and step 2. in Cooling and Heat Source unit specified heating/cold meter Calculate the rate of load condensate of Cooling and Heat Source unit;
(3.3) with step 2. in cooling water outlet temperature, cold water outlet temperature calculate the two device temperature difference;
(3.4) with step 2. in operation power consumption and step (3.1) in Cooling and Heat Source unit heating/cold, calculate step (3.2) in rate of load condensate and step (3.3) under the two device temperature difference Cooling and Heat Source unit efficiency;
The step 3. in, operating condition be Cooling and Heat Source unit work when the two device temperature difference and unit load rate;
The two devices temperature difference is the temperature difference of the condenser and evaporator when Cooling and Heat Source unit works.
The automatic calibration of the cooling water inlet, cooling water outlet, cooling water inlet and the cooling water outlet temperature difference, including following step Suddenly:
1. acquiring operating parameter and operation power consumption in real time by parameter collection module;
2. electricity consumption tension gauge detects whether Cooling and Heat Source unit current power is less than 1kW, less than thening follow the steps 3., otherwise It redirects and executes step 1.;
3. whether the water flow for detecting Cooling and Heat Source unit with flow sensor I and flow sensor II is more than rated flow 10%, more than thening follow the steps 4., otherwise redirects and execute step 1.;
4. start timing, and in real time monitoring step 2. with step 3., if step 2. with step 3. in have a condition invalid, Then timing empties, and redirects again and executes step 1.;
5. when timing was by 5~10 minutes, judge current cold water import/export temperature and cooling water import/export temperature whether phase Deng, if differing, startup calibration algorithm, until equal.
The beneficial effects of the present invention are:It can be to Cooling and Heat Source unit, i.e. refrigeration unit, recuperation of heat unit, ground source heat pump machine Group efficiency under different operating conditions is monitored, and by the energy efficiency monitoring to Cooling and Heat Source unit under different operating conditions, is used Maximum likelihood estimate obtains most rational energy valid value, and decision and foundation are provided for the energy-saving scheme of follow-up central air-conditioning.
Description of the drawings
Fig. 1 is the structural schematic diagram of the present invention;
In figure:1- Cooling and Heat Source units, 2- Energy Efficiency Analysis instrument, 3- flow sensors I, 4- cooling water inlet temperature sensors, 5- Cold water outlet temperature sensor, 6- cooling water inlet temperature sensors, 7- cooling water outlet temperature sensors, 8- touch display Screen, 9- parameter collection modules, 10- electric power detectors, 11- computing modules, 12- flow sensors II.
Specific implementation mode
Be described further below technical scheme of the present invention, but claimed range be not limited to it is described.
As shown in Figure 1, a kind of host supervision device for maximum likelihood estimate, including Cooling and Heat Source unit 1 and efficiency Analyzer 2;The Cooling and Heat Source unit 1 is equipped with cooling water inlet, cooling water outlet, cooling water inlet and cooling water outlet, in cold water It is connected separately with water pipe on import, cooling water outlet, cooling water inlet and cooling water outlet, temperature biography is equipped on water pipe line Sensor;The Energy Efficiency Analysis instrument 2 includes parameter collection module 9, electric supervising device 10 and connecting terminal block 11, the electric power monitoring It is communicated to connect between instrument 10 and parameter collection module 9, passes through cable connection, ginseng between electric supervising device 10 and Cooling and Heat Source unit 1 Number acquisition module 9 and electric supervising device 10 are connect with connecting terminal block 11;The temperature sensor passes through connecting terminal 11 Row is connected to parameter collection module 9;
The temperature sensor is used to detect the temperature of cooling water inlet, cooling water outlet, cooling water inlet and cooling water outlet water Degree;
The parameter collection module 9 is used to acquire the operating parameter of Cooling and Heat Source unit 1 under different operating conditions, operating parameter Water including cooling water inlet, cooling water outlet, cooling water inlet, the temperature of cooling water outlet water and cooling water outlet, cooling water inlet Flow;
The parameter collection module 9 is used to acquire the operation power consumption of Cooling and Heat Source unit 1 under different operating conditions, and in parameter There is history efficiency in acquisition module 9;The history efficiency is the corresponding history energy under the operating condition of Cooling and Heat Source unit 1 Imitate sequence;
The parameter collection module 9 is used to that operating parameter and operation power consumption to be analyzed, calculated and be counted, and establishes energy Imitate distribution table;
The parameter collection module 9 can be also used for cooling water inlet, cooling water outlet, cooling water inlet and cooling water outlet temperature The automatic calibration of difference.
The Cooling and Heat Source unit 1 includes evaporator and condenser, and cooling water inlet and cooling water outlet setting are on an evaporator, cold But water inlet and cooling water outlet are arranged on condenser.
The temperature sensor is divided into cooling water inlet temperature sensor 4, cold water outlet temperature sensor 5, cooling water inlet Temperature sensor 6, cooling water outlet temperature sensor 7, cooling water inlet temperature sensor 4 is mounted on cold water inlet tube road, cold Water outlet temperature sensor 5 is mounted on cooling water outlet pipeline, and cooling water inlet temperature sensor 6 is mounted on cooling water outlet pipe On the road, cooling water outlet temperature sensor 7 is mounted on cooling water inlet pipeline.
When the Cooling and Heat Source unit 1 is refrigeration unit, flow sensor I 3, Cooling and Heat Source are installed on cooling water outlet pipeline When unit 1 is recuperation of heat unit and earth source heat pump unit, flow sensor II 12 is installed on cooling water inlet pipeline;It is described Flow sensor I 3 is used to detect the water flow of cooling water outlet, and flow sensor II 12 is used to detect the flow of cooling water inlet Amount.
The flow sensor I 3 and flow sensor II 12 are connect by 11 row of connecting terminal with parameter collection module 9, Using RS-485 communication interfaces.
The Energy Efficiency Analysis instrument 2 further includes touch display screen 8, and touch display screen 8 is communicated to connect with parameter collection module 9; The touch display screen 8 is used to show the operating parameter of Cooling and Heat Source unit 1.
The touch display screen 8 and electric supervising device 10 are communicatively connected to parameter collection module 9 by RS-485.
Based on a kind of maximum likelihood estimate that the host supervision device for maximum likelihood estimate carries out, seemingly by maximum Right estimation technique input parameter acquisition module 9, by the maximum likelihood estimate in parameter collection module 9 to operating parameter and operation Power consumption is analyzed, calculated and is counted, and establishes efficiency distribution table, is included the following steps:
1. by the specified heating of Cooling and Heat Source unit 1/cold input efficiency analyzer 2;
2. acquiring the operating parameter and operation power consumption of Cooling and Heat Source unit 1 by parameter collection module 9;
3. efficiency of the Cooling and Heat Source unit 1 under the operating condition in calculating step 2. with parameter collection module 9;
4. by 9 query steps of parameter collection module 2. in Cooling and Heat Source unit 1 history efficiency;
5. by step 3. in Cooling and Heat Source unit 1 efficiency and step 4. in history efficiency carry out at maximum likelihood algorithm Reason, obtain Cooling and Heat Source unit 1 it is reasonable energy valid value, and by 9 storing step of parameter collection module 3. in efficiency, as nearest Primary history efficiency;
6. repeat step 2.~5., by several Cooling and Heat Source units 1 it is reasonable energy valid value and operating condition be built into one Three-dimensional efficiency distribution table;Can be follow-up central air-conditioning by the energy efficiency monitoring to Cooling and Heat Source unit 1 under different operating conditions Energy-saving scheme provides decision and foundation.
The step 4. in history efficiency obtaining step it is as follows:
(4.1) by the specified heating of Cooling and Heat Source unit 1/cold input efficiency analyzer 2;
(4.2) the real time execution parameter and operation power consumption of Cooling and Heat Source unit 1 are acquired by parameter collection module 9;
(4.3) efficiency of the Cooling and Heat Source unit 1 under the operating condition in using parameter collection module 9 to calculate step 1.;
(4.4) step (4.2)~(4.3) are repeated, the non-zero energy of Cooling and Heat Source unit 1 under several different operating conditions is obtained Effect (for example, take 10~20 nearest), several non-zero efficiencies constitute 1 going through under different operating conditions of Cooling and Heat Source unit History efficiency, and (when initial, zero) history efficiency is all history efficiency deposit parameter collection module 9.
Further, for example, by the efficiency Yu step of Cooling and Heat Source unit 1 under current operating condition 4. under the operating condition The history efficiency of Cooling and Heat Source unit 1 constitutes sequence of values " X to be observed1X2……Xn", then respectively in the sequence of values to be observed Items be observed as estimated value, using maximum likelihood estimate find one of which sequence of values subset, with the numerical value Estimated value of the arithmetic mean of instantaneous value of every numerical value as most rational Cooling and Heat Source unit 1 in sequence subset, and pass through and touch display 8 output display of screen and deposit, constitute history efficiency sequence.With sequence of values to be observed for " X1X2……Xn" be illustrated below:
1. with sample magnitude X1As estimated value, and stipulated that in X1± a% sampled values are reasonable, and find out sequence X1……XnIn, in X1Numerical value within the scope of ± a%, and statistic number;
2. similarly, respectively with X2……XnAs estimated value, according to it is above-mentioned 1) in method, it is right to find out each estimated value institute The statistic number answered;
3. finding out the largest number of estimated value X of statisticm, in sequence of values X to be observed1……XnIn find out in Xm± Several numerical value within the scope of a% carry out arithmetic averages to several numerical value, the energy as this most rational Cooling and Heat Source unit 1 Imitate estimated value output.
In practical applications, it due to the influence of many factors such as air conditioning terminal demand shift, climate change, determines cold and hot Operating condition after source unit 1 puts into operation is also continually changing, and the uncertainty of operating condition leads to 1 efficiency of Cooling and Heat Source unit It is big that index value measures randomness;Using the methods of average filter method, sliding window average filter method, amplitude limit average filter method often Error value introduces in equalizing calculating process, 1 energy of Cooling and Heat Source unit obtained when less especially for sampled data output The inaccuracy of valid value is more prominent, and then can effectively be solved the above problems using maximum- likelihood estimation.
3. the step is divided into following steps:
(3.1) with step 2. in operating parameter calculate heating/cold of Cooling and Heat Source unit 1;
(3.2) use heating/cold in step (3.1) and step 2. in Cooling and Heat Source unit 1 specified heating/cold Calculate the rate of load condensate of Cooling and Heat Source unit 1;
(3.3) with step 2. in cooling water outlet temperature, cold water outlet temperature calculate the two device temperature difference;Due to cannot be direct 1 condensation temperature of Cooling and Heat Source unit and evaporating temperature are measured, so the two device temperature difference=cooling water outlet temperature-cold water outlet temperature+ Heat transfer temperature difference;The difference of the heat transfer temperature difference statement condenser temperature and cooling water outlet temperature adds chilled water outlet temperature With the difference of evaporator temperature;
(3.4) with step 2. in operation power consumption and step (3.1) in Cooling and Heat Source unit 1 heating/cold, calculate step (3.2) in rate of load condensate and step (3.3) under the two device temperature difference Cooling and Heat Source unit 1 efficiency;
The step 3. in, operating condition be Cooling and Heat Source unit 1 work when the two device temperature difference and unit load rate;
The two devices temperature difference is the temperature difference of the condenser and evaporator when Cooling and Heat Source unit 1 works.
It is only illustrated below with refrigeration unit, recuperation of heat unit, earth source heat pump unit are acquired to cooling water flow and heat The integrating of amount, method are identical.
1) the instantaneous refrigerating capacity of cold is acquired by following formula:
W(t)=Q(t)×ΔT(t)×ρ×C;
Wherein, ρ is cold water density, and C is cold water specific heat, and Δ T (t) is the instantaneous cold water import/export temperature difference, and Q (t) is instantaneous stream Amount, W(t)For the instantaneous refrigerating capacity of cold.
2) the accumulative refrigerating capacity of any time period of handpiece Water Chilling Units is acquired by following formula:
Wherein, W1For the accumulative refrigerating capacity of any time period of handpiece Water Chilling Units, t~t1For period, W(t)For the wink of cold When refrigerating capacity;
Work as t1The accumulative refrigerating capacity that the handpiece Water Chilling Units are indicated when=0 calculates certain time by formula I
The average refrigerating capacity of section n (n units are minute)To be somebody's turn to do
Rate of load condensate in the section timeWherein, η is specified heating/cold;
3) the two device temperature difference (Δ T) are calculated by following formula:
Δ T=T1-T2+T3
Wherein:T1Indicate the average value of cooling water outlet temperature in the period;T2Indicate period inner cold water outlet temperature The average value of degree;T3Indicate heat transfer temperature difference.
4) the operation power consumption (W of (n) in certain period of handpiece Water Chilling Units is acquired by electric supervising device (10)2), pass through public affairs Formula I calculates the refrigerating capacity of this section of time inner cold water unit, and then the handpiece Water Chilling Units efficiency (COP) of the period is by following formula meter It calculates:
Wherein, W1Indicate the refrigerating capacity of the period handpiece Water Chilling Units;W2Indicate the power consumption of the period handpiece Water Chilling Units;COP is indicated The efficiency of the period inner cold water unit, the value is bigger, and the expression unit is more energy saving, otherwise more consumes energy.
It by Δ T, η of above-mentioned calculating, tables look-up to efficiency distribution table, judges that the period Cooling and Heat Source unit 1 is in Which kind of operating condition, and the history efficiency data under the operating mode are taken out, and sample Maxium likelihood estimation algorithm process and obtain rationally Energy valid value, foundation obtain following table, are analogue data below, do not represent the truthful data of practical handpiece Water Chilling Units operation:
The automatic calibration of the cooling water inlet, cooling water outlet, cooling water inlet and the cooling water outlet temperature difference, it acts as: In the Acquisition Error for the measurement error and parameter collection module 9 and electric supervising device 10 for eliminating temperature sensor, it is ensured that cold water Import/export, cooling water import/export temperature sensor relative error level off to 0, to improve the cooling/heating amount of Cooling and Heat Source unit 1 The accuracy of metering, includes the following steps:
1. acquiring operating parameter and operation power consumption in real time by parameter collection module 9;
2. electricity consumption tension gauge 10 detects whether 1 current power of Cooling and Heat Source unit less than 1kW (determines whether standby shape State), less than thening follow the steps 3., otherwise redirects and execute step 1.;
3. whether the water flow for detecting Cooling and Heat Source unit 1 with flow sensor I 3 and flow sensor II 12 is more than nominal stream Otherwise 10% (judging whether to run) of amount redirects more than thening follow the steps 4. and executes step 1.;
4. start timing, and in real time monitoring step 2. with step 3., if step 2. with step 3. in have a condition invalid, Then timing empties, and redirects again and executes step 1.;
5. when timing was by 5~10 minutes, judge current cold water import/export temperature and cooling water import/export temperature whether phase Deng, if differing, startup calibration algorithm, until equal.
The calibration algorithm is:
Cold water:Cooling water inlet temperature adds cold water temperature deviation, cold water temperature deviation be cold water outlet temperature and cold water into The difference of mouth temperature, it is ensured that cold water import/export temperature is equal;
Cooling water:Cooling water inlet temperature adds cooling temperature deviation, and cooling water temperature deviation is cooling water outlet temperature With the difference of cooling water inlet temperature, it is ensured that cooling water import/export temperature is equal.
In conclusion the present invention can to Cooling and Heat Source unit, i.e., refrigeration unit, recuperation of heat unit, earth source heat pump unit energy Effect is monitored, and achievees the purpose that allow the energy-saving of central air-conditioning, and under different operating conditions, is carried out to Cooling and Heat Source unit Energy efficiency monitoring realizes the automatic calibration of the temperature difference of cooling water inlet, cooling water outlet, cooling water inlet, cooling water outlet.

Claims (10)

1. a kind of host supervision device for maximum likelihood estimate, including Cooling and Heat Source unit (1) and Energy Efficiency Analysis instrument (2), It is characterized in that:The Cooling and Heat Source unit (1) is equipped with cooling water inlet, cooling water outlet, cooling water inlet and cooling water outlet, It is connected separately with water pipe on cooling water inlet, cooling water outlet, cooling water inlet and cooling water outlet, temperature is equipped on water pipe line Spend sensor;The Energy Efficiency Analysis instrument (2) includes parameter collection module (9), electric supervising device (10) and connecting terminal block (11), It is communicated to connect between the electric supervising device (10) and parameter collection module (9), electric supervising device (10) and Cooling and Heat Source unit (1) Between connect with connecting terminal block (11) by cable connection, parameter collection module (9) and electric supervising device (10);The temperature Degree sensor is connected to parameter collection module (9) by connecting terminal (11) row;
The temperature sensor is used to detect the temperature of cooling water inlet, cooling water outlet, cooling water inlet and cooling water outlet water;
The parameter collection module (9) is used to acquire the operating parameter of Cooling and Heat Source unit (1) under different operating conditions, operating parameter Water including cooling water inlet, cooling water outlet, cooling water inlet, the temperature of cooling water outlet water and cooling water outlet, cooling water inlet Flow;
The parameter collection module (9) is used to acquire the operation power consumption of Cooling and Heat Source unit (1) under different operating conditions, and in parameter There is the history efficiency under different operating conditions in acquisition module (9);
The parameter collection module (9) is used to that operating parameter and operation power consumption to be analyzed, calculated and be counted, and establishes efficiency Distribution table;
The parameter collection module (9) can be also used for cooling water inlet, cooling water outlet, cooling water inlet and the cooling water outlet temperature difference Automatic calibration.
2. being used for the host supervision device of maximum likelihood estimate as described in claim 1, it is characterised in that:The Cooling and Heat Source Unit (1) includes evaporator and condenser, and cooling water inlet and cooling water outlet are arranged on an evaporator, cooling water inlet and cooling water Outlet is arranged on condenser.
3. being used for the host supervision device of maximum likelihood estimate as described in claim 1, it is characterised in that:The temperature passes Sensor be divided into cooling water inlet temperature sensor (4), cold water outlet temperature sensor (5), cooling water inlet temperature sensor (6), Cooling water outlet temperature sensor (7), cooling water inlet temperature sensor (4) are mounted on cold water inlet tube road, cooling water outlet temperature It spends sensor (5) to be mounted on cooling water outlet pipeline, cooling water inlet temperature sensor (6) is mounted on cooling water outlet pipeline On, cooling water outlet temperature sensor (7) is mounted on cooling water inlet pipeline.
4. being used for the host supervision device of maximum likelihood estimate as described in claim 1, it is characterised in that:The Cooling and Heat Source When unit (1) is refrigeration unit, flow sensor I (3) is installed on cooling water outlet pipeline, Cooling and Heat Source unit (1) is that heat is returned When receiving unit and earth source heat pump unit, flow sensor II (12) is installed on cooling water inlet pipeline;The flow sensing Device I (3) is used to detect the water flow of cooling water outlet, and flow sensor II (12) is used to detect the water flow of cooling water inlet.
5. being used for the host supervision device of maximum likelihood estimate as claimed in claim 4, it is characterised in that:The flow passes Sensor I (3) and flow sensor II (12) are arranged by connecting terminal (11) to be connect with parameter collection module (9), using RS- 485 communication interfaces.
6. being used for the host supervision device of maximum likelihood estimate as described in claim 1, it is characterised in that:The efficiency point Analyzer (2) further includes touch display screen (8), and touch display screen (8) is communicated to connect with parameter collection module (9);Described touch shows Display screen (8) is used to show the operating parameter of Cooling and Heat Source unit (1).
7. the host supervision device as described in claim 1 or 6 for maximum likelihood estimate, it is characterised in that:It is described to touch It touches display screen (8) and electric supervising device (10) is communicatively connected to parameter collection module (9) by RS-485.
8. a kind of host supervision device for maximum likelihood estimate using described in claim 1~7 any one into Capable maximum likelihood estimate, it is characterised in that:By maximum likelihood estimate input parameter acquisition module (9), adopted by parameter Maximum likelihood estimate in collection module (9) is analyzed, calculated and is counted to operating parameter and operation power consumption, and establishes efficiency Distribution table includes the following steps:
1. by the specified heating of Cooling and Heat Source unit (1)/cold input efficiency analyzer (2);
2. acquiring the operating parameter and operation power consumption of Cooling and Heat Source unit (1) by parameter collection module (9);
3. efficiency of the Cooling and Heat Source unit (1) under the operating condition in calculating step 2. with parameter collection module (9);
4. by parameter collection module (9) query steps 3. in, history efficiency of the Cooling and Heat Source unit (1) under the operating condition; Parameter collection module (9) will determine that whether nonzero value is more than or equal to 3 in history efficiency, if so then execute step 5., otherwise returns Receipt row step is 2.;
5. by step 3. in Cooling and Heat Source unit (1) efficiency and step 4. in history efficiency carry out maximum likelihood algorithm processing, The reasonable energy valid value of Cooling and Heat Source unit (1) is obtained, and is stored;
6. repeat step 2.~5., by several Cooling and Heat Source units (1) it is reasonable energy valid value and operating condition be built into a Zhang San Tie up efficiency distribution table.
9. maximum likelihood estimate as claimed in claim 8, it is characterised in that:3. the step is divided into following steps:
(3.1) with step 2. in operating parameter calculate Cooling and Heat Source unit (1) heating/cold;
(3.2) use step (3.1) in heating/cold and step 2. in Cooling and Heat Source unit (1) specified heating/cold meter Calculate the rate of load condensate of Cooling and Heat Source unit (1);
(3.3) with step 2. in cooling water outlet temperature, cold water outlet temperature calculate the two device temperature difference;
(3.4) with step 2. in operation power consumption and step (3.1) in Cooling and Heat Source unit (1) heating/cold, calculate step (3.2) in rate of load condensate and step (3.3) under the two device temperature difference Cooling and Heat Source unit (1) efficiency;
The step 3. in, operating condition be Cooling and Heat Source unit (1) work when the two device temperature difference and unit load rate;
The two devices temperature difference is the temperature difference of the condenser and evaporator when Cooling and Heat Source unit (1) works.
10. being used for the host supervision device of maximum likelihood estimate as described in claim 1, it is characterised in that:The cold water Import, the automatic calibration of cooling water outlet, cooling water inlet and the cooling water outlet temperature difference, include the following steps:
1. acquiring operating parameter and operation power consumption in real time by parameter collection module (9);
2. electricity consumption tension gauge (10) detects whether Cooling and Heat Source unit (1) current power is less than 1kW, less than thening follow the steps 3., Otherwise it redirects and executes step 1.;
3. nominal with whether the water flow of flow sensor I (3) and flow sensor II (12) detection Cooling and Heat Source unit (1) is more than Otherwise the 10% of flow redirects more than thening follow the steps 4. and executes step 1.;
4. start timing, and in real time monitoring step 2. with step 3., if step 2. with step 3. in have a condition invalid, count When empty, redirect again execute step 1.;
5. when timing was by 5~10 minutes, judge whether current cold water import/export temperature and cooling water import/export temperature are equal, if It differs, starts calibration algorithm, until equal.
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