CN114659268A - Method for predicting frosting degree of air energy water heater - Google Patents

Method for predicting frosting degree of air energy water heater Download PDF

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Publication number
CN114659268A
CN114659268A CN202210193506.3A CN202210193506A CN114659268A CN 114659268 A CN114659268 A CN 114659268A CN 202210193506 A CN202210193506 A CN 202210193506A CN 114659268 A CN114659268 A CN 114659268A
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frosting
degree
air
value
frosting degree
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CN114659268B (en
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黄友正
赵波
宋洋洋
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Beixi Te Zhejiang Technology Co ltd
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Zhejiang Qianfeng Intelligent Technology Co ltd
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    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24HEATING; RANGES; VENTILATING
    • F24HFLUID HEATERS, e.g. WATER OR AIR HEATERS, HAVING HEAT-GENERATING MEANS, e.g. HEAT PUMPS, IN GENERAL
    • F24H4/00Fluid heaters characterised by the use of heat pumps
    • F24H4/02Water heaters
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24HEATING; RANGES; VENTILATING
    • F24HFLUID HEATERS, e.g. WATER OR AIR HEATERS, HAVING HEAT-GENERATING MEANS, e.g. HEAT PUMPS, IN GENERAL
    • F24H9/00Details
    • F24H9/20Arrangement or mounting of control or safety devices
    • F24H9/2007Arrangement or mounting of control or safety devices for water heaters
    • 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
    • F25B47/00Arrangements for preventing or removing deposits or corrosion, not provided for in another subclass
    • 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
    • F25B47/00Arrangements for preventing or removing deposits or corrosion, not provided for in another subclass
    • F25B47/02Defrosting cycles

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  • 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)

Abstract

The invention discloses a method for predicting frosting degree of an air energy water heater, which comprises the steps of obtaining average heat absorption efficiency and relative humidity change rate of a compressor when the air energy water heater is within a frosting operation boundary range, obtaining a first frosting degree value by utilizing the average heat absorption efficiency, obtaining a second frosting degree value by utilizing the relative humidity change rate, calculating the average value of the first frosting degree value and the second frosting degree value, solving the deviation degree, judging whether the deviation degree is not greater than a set threshold value, and if so, judging the frosting degree is equal to the average value; and if not, the frosting degree is equal to the maximum value of the first frosting degree value and the second frosting degree value. The invention can accurately judge the frosting fault and degree of the unit, avoid single condition and error judgment and failure caused by a simple judging method, and provide reliable parameters for the defrosting operation condition of the air energy water heater.

Description

Method for predicting frosting degree of air energy water heater
Technical Field
The invention relates to the technical field of water heaters, in particular to a method for predicting the frosting degree of an air energy water heater.
Background
The air energy water heater has the advantages of high efficiency, energy conservation and environmental protection, and is widely applied to hot water supply of families, enterprises, institutions and residential buildings and indoor heating in winter. However, during winter use, the evaporator heat exchanger copper tubes often frost due to low outdoor temperatures. On one hand, frost formation causes the heat exchange efficiency of the evaporator to be sharply reduced; on the other hand, the compressor is in full-load or even overload operation for a long time under the control of the temperature control regulator, and the efficiency, the service life and the reliability are greatly reduced. At present, the frosting judgment of the household air source heat pump hot water system is mainly carried out by simply comparing and judging data of relative humidity change and water temperature change, so that the frosting judgment accuracy is low, and even misjudgment occurs. Therefore, how to accurately and reliably judge the frosting degree in the low-temperature and high-relative-humidity environment provides accurate data for the defrosting operation of the air energy water heater, becomes a common problem in the air source heat pump water heater industry, and is also a focus of attention. Disclosure of Invention
The invention aims to provide a method for predicting the frosting degree of an air energy water heater. The invention can accurately judge the frosting fault and degree of the unit, avoid single condition and error judgment and failure caused by a simple judging method, and provide reliable parameters for the defrosting operation condition of the air energy water heater.
The technical scheme of the invention is as follows: a method for predicting frosting degree of an air energy water heater comprises the steps of obtaining average heat absorption efficiency and relative humidity change rate of a compressor when the air energy water heater is within a frosting operation boundary range, obtaining a first frosting degree value by utilizing the average heat absorption efficiency, obtaining a second frosting degree value by utilizing the relative humidity change rate, calculating the average value of the first frosting degree value and the second frosting degree value, solving the deviation degree, judging whether the deviation degree is not greater than a set threshold value or not, and if yes, enabling the frosting degree to be equal to the average value; and if not, the frosting degree is equal to the maximum value of the first frosting degree value and the second frosting degree value.
In the method for predicting the frosting degree of the air energy water heater, the average heat absorption efficiency and the relative humidity change rate of the compressor are obtained by respectively obtaining the temperature at the air outlet of the compressor in a sampling period delta T
Figure BDA0003525894430000021
Relative humidity at air outlet
Figure BDA0003525894430000022
Fan operating speed nfanSectional area S of fanfanAnd compressor power Pcomp
According to the fan operating speed nfanAnd fan cross-sectional area SfanCalculating the air flow at the outlet of the fan:
Figure BDA0003525894430000023
according to air density ρ (T)amb,Hamb) And air flow calculating fan outlet air mass:
mair=ρ(Tamb,Hamb)×Qair
according to the specific heat capacity C (T) of airamb,Hamb) Air mass mairThe same day ambient temperature TambAnd the temperature at the air outlet
Figure BDA0003525894430000024
Calculating the heat exchange amount of air:
Figure BDA0003525894430000025
and average heat exchange amount:
Figure BDA0003525894430000031
according to the power P of the compressorcompCalculating the average power of the compressor:
Figure BDA0003525894430000032
calculating the average heat absorption efficiency of the compressor according to the average heat exchange amount and the average power of the compressor:
Figure BDA0003525894430000033
according to the relative humidity H of the environmentambAnd relative humidity at the air outlet
Figure BDA0003525894430000034
Calculating the relative humidity change rate:
Figure BDA0003525894430000035
in the method for predicting frosting degree of the air energy water heater, the first frosting degree value is obtained by substituting the average heat absorption efficiency into the prediction function
Figure BDA0003525894430000036
Is obtained by calculation.
In the method for predicting frosting degree of the air energy water heater, the second frosting degree value is obtained by substituting the relative humidity change rate into the prediction function
Figure BDA0003525894430000037
Is obtained by calculation.
In the method for predicting the frosting degree of the air energy water heater, the calculation formula of the deviation degree is as follows:
Figure BDA0003525894430000038
in the formula (I);
Figure BDA0003525894430000039
in order to be able to determine the degree of offset,
Figure BDA00035258944300000310
is a first frost formation degree value alpha (lambda)H) And a second frost formation degree value
Figure BDA00035258944300000311
Average value of (a).
Compared with the prior art, the method is based on the characteristic that the heat exchange efficiency is obviously reduced compared with that in normal operation under the condition of frosting when the evaporator of the air energy water heater is in a low-temperature and high-humidity working condition, the average heat absorption efficiency and the relative humidity change rate of the compressor are obtained, the average heat absorption efficiency is used for obtaining the first frosting degree value, the relative humidity change rate is used for substituting for obtaining the second frosting degree value, the average value of the first frosting degree value and the second frosting degree value is calculated, the offset degree is solved, the frosting degree of the evaporator of the air energy water heater is judged according to the offset degree, and accurate and detailed data are provided for defrosting control parameters. The invention can accurately judge the frosting fault and degree of the unit, avoid single condition and error judgment and failure caused by a simple judging method, and provide reliable parameters for the defrosting operation condition of the air energy water heater. The invention has the advantages of high reliability, good practicability, high intelligent degree and the like.
Drawings
FIG. 1 is a partial block diagram of an evaporator of an air energy water heater;
FIG. 2 is
Figure BDA0003525894430000041
A function curve diagram;
FIG. 3 is a schematic view of
Figure BDA0003525894430000042
The function is shown schematically.
Detailed Description
The invention is further described with reference to the following figures and examples, which are not to be construed as limiting the invention.
Example 1: a method for predicting frosting degree of an air energy water heater comprises the steps of obtaining average heat absorption efficiency and relative humidity change rate of a compressor when the air energy water heater is within a frosting operation boundary range, obtaining a first frosting degree value by utilizing the average heat absorption efficiency, obtaining a second frosting degree value by utilizing the relative humidity change rate, calculating the average value of the first frosting degree value and the second frosting degree value, solving the deviation degree, judging whether the deviation degree is not greater than a set threshold value or not, and if yes, enabling the frosting degree to be equal to the average value; and if not, the frosting degree is equal to the maximum value of the first frosting degree value and the second frosting degree value.
Example 2: a method for predicting frosting degree of an air energy water heater comprises the steps of obtaining average heat absorption efficiency and relative humidity change rate of a compressor when the air energy water heater is within a frosting operation boundary range, obtaining a first frosting degree value by utilizing the average heat absorption efficiency, obtaining a second frosting degree value by utilizing the relative humidity change rate, calculating the average value of the first frosting degree value and the second frosting degree value, solving the deviation degree, judging whether the deviation degree is not greater than a set threshold value or not, and if yes, enabling the frosting degree to be equal to the average value; and if not, the frosting degree is equal to the maximum value of the first frosting degree value and the second frosting degree value.
In the technical solution of this embodiment, the related variables are defined as follows: t isambIs ambient temperature, HambThe temperature at the air outlet is the relative humidity of the environment
Figure BDA0003525894430000051
As a temperature sensor T2Measured value, relative humidity at air outlet
Figure BDA0003525894430000052
As a humidity sensor H2Measured value, nfanFor the fan operating speed, SfanIs the cross-sectional area of the fan, PcompFor compressor running power, ρ (T)amb,Hamb) Respectively is T for the ambient temperature and humidityambAnd HambDensity of air, C (T)amb,Hamb) Respectively is T for the ambient temperature and humidityambAnd HambSpecific heat capacity of air, QairIs the fan air flow rate, m, over a time Δ TairIs the fan air quality over a time delta T,
Figure BDA0003525894430000053
the amount of heat exchanged by the fan air during the delta T time,
Figure BDA0003525894430000054
the average amount of heat exchanged by the fan air over a period of deltat,
Figure BDA0003525894430000055
the average operating power of the compressor over the delta T time,
Figure BDA0003525894430000056
is the average heat absorption efficiency of the compressor in delta T time, lambdaHIs the relative humidity of air at the air outlet and the relative humidity H of the environmentambThe change rate of alpha is the frosting degree of the air energy water heater,
Figure BDA0003525894430000057
and
Figure BDA0003525894430000058
are respectively alpha and
Figure BDA0003525894430000059
and λHThe functional relationship of (a). Sigma is a heat absorption efficiency threshold under the critical frosting condition, and zeta is a frosting degree deviation degree setting threshold;
as can be seen from physics knowledge, the air flow Q of the fan blowing air is within the delta T timeairSatisfies the following conditions:
Figure BDA00035258944300000510
corresponding air mass mairComprises the following steps:
mair=ρ(Tamb,Hamb)×Qair
according to the thermal principle, the heat exchange capacity of air
Figure BDA0003525894430000061
Comprises the following steps:
Figure BDA0003525894430000062
further, average heat exchange amount
Figure BDA0003525894430000063
Comprises the following steps:
Figure BDA0003525894430000064
average power of compressor during delta T time
Figure BDA0003525894430000065
Comprises the following steps:
Figure BDA0003525894430000066
therefore, the average heat absorption efficiency of the compressor
Figure BDA0003525894430000067
Comprises the following steps:
Figure BDA0003525894430000068
defining the deviation of heat absorption efficiency of compressor as lambdaΔThen, there are:
Figure BDA0003525894430000069
defining the relative humidity change degree of air at the inlet and the outlet of the fan as lambdaHThen, there are:
Figure BDA00035258944300000610
solving in a formula
Figure BDA00035258944300000611
And λHAnd obtaining the frosting degree alpha and the frosting degree alpha by big data algorithm or expert experience knowledge
Figure BDA00035258944300000612
And a relative humidity change rate lambdaHFunctional relationship of
Figure BDA00035258944300000613
And
Figure BDA00035258944300000614
on the basis, the frosting degree alpha can be obtained, and then the frosting degree of the evaporator of the air energy water heater can be accurately judged. In order to make the technical method of the present invention clearer, embodiments of the present invention will be described in detail below with reference to the accompanying drawings. However, it will be appreciated by those of ordinary skill in the art that numerous technical details are set forth in order to provide a better understanding of the present application in various embodiments of the present invention. However, the technical solutions claimed in the claims of the present application can be implemented without these technical details and various changes and modifications based on the following embodiments.
Fig. 1 is a partial structure diagram of an evaporator of an air energy water heater, and a refrigerant circulation loop comprises: the system comprises an evaporator, a four-way valve, a gas-liquid separator, a compressor, a heat exchanger, a liquid storage tank, an expansion valve and a filter. The refrigerant circulation part realizes energy exchange. In the heating working mode, the circulation sequence of the refrigerant is the flow direction of the arrow solid line; in the defrosting operation mode, the circulation sequence of the refrigerant is the arrow dotted line flow direction. The switching of the refrigerant flow direction under the heating/defrosting mode is realized by controlling the four-way valve. In the heating working mode, the refrigerant absorbs the heat energy in the air at the evaporator to become low-temperature low-pressure gas. After being compressed by the compressor, the gas is high-temperature and high-pressure gas and flows through the heat exchanger for heat exchange. After releasing the heat energy, the heat energy passes through the liquid storage tank, the expansion valve and the filter and then returns to the evaporator again for next heat exchange. In the defrosting mode, the refrigerant absorbs heat energy at the heat exchanger to become low-temperature and low-pressure gas. After being compressed by the compressor, the gas is high-temperature and high-pressure gas and flows through the evaporator to heat and defrost the copper pipe. After releasing the heat energy, the heat energy passes through the filter, the expansion valve and the liquid storage tank and then returns to the heat exchanger again for next defrosting heat exchange.
The frosting degree judging method comprises the following steps:
(1) acquiring the ambient temperature T of the same day through weather informationambAmbient relative humidity HambJudging whether the air energy water heater is in a frosting operation boundary range or not according to the existing big data experience knowledge; if yes, entering a frosting degree prediction algorithm, namely entering the step (2); otherwise, quitting;
(2) respectively acquiring the temperature at the air outlet within the delta T time
Figure BDA0003525894430000071
Relative humidity at air outlet
Figure BDA0003525894430000081
Fan running speed nfanSectional area S of fanfanAnd the power P of the compressorcomp
(3) Calculating the air flow at the outlet of the fan according to a formula
Figure BDA0003525894430000082
And mass mair=ρ(Tamb,Hamb)×Qair
(4) Calculating the heat exchange amount of air according to a formula
Figure BDA0003525894430000083
And average heat exchange amount
Figure BDA0003525894430000084
(5) Calculating the average power of the compressor
Figure BDA0003525894430000085
(6) Calculating average heat absorption efficiency of compressor
Figure BDA0003525894430000086
(7) Will be provided with
Figure BDA0003525894430000087
Comparing the heat absorption efficiency threshold value sigma under the critical frosting condition, and determining whether the air energy water heater is actually in the frosting inefficient operation range; if yes, entering the step (8); otherwise, quitting;
(8) calculating the relative humidity change rate
Figure BDA0003525894430000088
(9) Will be provided with
Figure BDA0003525894430000089
Substituting frosting degree alpha and heat absorption efficiency
Figure BDA00035258944300000810
Curve of a prediction function in between
Figure BDA00035258944300000811
Obtaining a first degree of frost
Figure BDA00035258944300000812
Will be lambdaHSubstituting the frosting degree alpha and the relative humidity change rate lambdaHCurve of a prediction function in between
Figure BDA00035258944300000813
Obtaining a second frost formation degree alpha (λH);
In this embodiment, FIG. 2 shows the first degree of frosting
Figure BDA00035258944300000814
Functional relationship of
Figure BDA00035258944300000815
FIG. 3 shows the second frosting degree and the relative humidity change rate λHFunctional relationship of
Figure BDA00035258944300000816
As known from physical knowledge, the more severe the frost formation is, the smaller the air energy exchange of the evaporator is, i.e. the
Figure BDA00035258944300000817
The smaller the first degree of frost. Conversely, the lighter the first degree of frost, the greater the air exchange of the evaporator, i.e.
Figure BDA0003525894430000091
The larger the first degree of frost. Therefore, the first and second electrodes are formed on the substrate,
Figure BDA0003525894430000092
is a monotone decreasing function. Similarly, the more severe the frost formation, the less the relative humidity change rate after the air energy exchange of the evaporator, i.e. λHThe smaller the second degree of frosting. Conversely, the less frosting, the greater the rate of change of relative humidity after the air of the evaporator can be exchanged, i.e. λHThe larger the second degree of frosting. Therefore, the first and second electrodes are formed on the substrate,
Figure BDA0003525894430000093
also a monotone decreasing function. At ambient temperature and ambient relative humidity respectively TambAnd HambWhen α ═ 0 is defined as the critical frosting state, α ═ 1 is defined as the most severe frosting state. As for the specific data indexes corresponding to the critical frosting state and the most severe frosting state, the data indexes can be obtained by theoretical design and experimental data analysis of manufacturers or by expert experience knowledge or even big dataAnd (6) intelligently analyzing to obtain. σ in fig. 2 is a maximum threshold of endothermic efficiency in the critical frosting state, and satisfies:
Figure BDA0003525894430000094
λminthe minimum threshold value of the heat absorption efficiency in the most severe frosting state meets the following requirements:
Figure BDA0003525894430000095
physical knowledge shows that even in a severe frosting state, the air energy water heater can absorb weak heat energy from the air, so that alpha-1 corresponds to the condition that the air energy water heater does not absorb weak heat energy from the air
Figure BDA0003525894430000096
But rather that
Figure BDA0003525894430000097
For the same reason, in FIG. 3
Figure BDA0003525894430000098
The maximum threshold value of the relative humidity change rate of the air in the critical frosting state meets the following requirements:
Figure BDA0003525894430000099
the minimum threshold value of the relative humidity change rate of the air in the most severe frosting state meets the following requirements:
Figure BDA00035258944300000910
also, as known from physics, even in a severe frosting state, the air energy water heater absorbs weak heat energy from the air, so that the relative humidity of the air is changed to a small degree, and therefore, the value of alpha is 1 and is not lambdaHIs equal to 0, but
Figure BDA00035258944300000911
(11) Calculating alpha (lambda)H) And
Figure BDA00035258944300000912
average value of (2)
Figure BDA00035258944300000913
And solving for the degree of offset
Figure BDA0003525894430000101
(12) Determining the degree of offset
Figure BDA0003525894430000102
Whether it is not greater than a set threshold value ζ, and if so, the degree of frosting
Figure BDA0003525894430000103
And withdrawing; otherwise, entering the step (13);
(13) to obtain the maximum frosting degree
Figure BDA0003525894430000104
Therefore, the air energy water heater can still reliably work under the worst frosting condition and quit.
In summary, based on the characteristic that the heat exchange efficiency is significantly reduced in the frosting condition compared with the normal operation under the condition of low temperature and high humidity of the evaporator of the air energy water heater, the average heat absorption efficiency and the relative humidity change rate of the compressor are obtained, the average heat absorption efficiency is used for obtaining the first frosting degree value, the relative humidity change rate is used for substituting for obtaining the second frosting degree value, the average value of the first frosting degree value and the second frosting degree value is calculated, the offset degree is solved, the frosting degree of the evaporator of the air energy water heater is further determined according to the offset degree, and accurate and detailed data are provided for the defrosting control parameters. The invention can accurately judge the frosting fault and degree of the unit, avoid single condition and error judgment and failure caused by a simple judging method, and provide reliable parameters for the defrosting operation condition of the air energy water heater.

Claims (5)

1. A method for predicting the frosting degree of an air energy water heater is characterized by comprising the following steps: when the air energy water heater is within the frosting operation boundary range, obtaining the average heat absorption efficiency and the relative humidity change rate of the compressor, obtaining a first frosting degree value by using the average heat absorption efficiency, obtaining a second frosting degree value by using the relative humidity change rate, calculating the average value of the first frosting degree value and the second frosting degree value, solving the offset degree, judging whether the offset degree is not greater than a set threshold value, and if so, judging that the frosting degree is equal to the average value; if not, the frosting degree is equal to the maximum value of the first frosting degree value and the second frosting degree value.
2. The air energy water heater frosting degree prediction method according to claim 1, characterized in that: the average heat absorption efficiency and the relative humidity change rate of the compressor are obtained in the process of respectively obtaining the temperature at the air outlet of the compressor in a sampling period delta T
Figure FDA0003525894420000011
Relative humidity at air outlet
Figure FDA0003525894420000012
Fan running speed nfanSectional area S of fanfanAnd compressor power Pcomp
According to the fan operating speed nfanAnd fan cross-sectional area SfanCalculating the air flow at the outlet of the fan:
Figure FDA0003525894420000013
according to air density ρ (T)amb,Hamb) And air flow calculating fan outlet air mass:
mair=ρ(Tamb,Hamb)×Qair
according to the specific heat capacity C (T) of airamb,Hamb) Air mass mairThe same day ambient temperature Tamb and temperature at the air outlet
Figure FDA0003525894420000014
ComputingAir heat exchange amount:
Figure FDA0003525894420000015
and average heat exchange amount:
Figure FDA0003525894420000021
according to the power P of the compressorcompCalculating the average power of the compressor:
Figure FDA0003525894420000022
calculating the average heat absorption efficiency of the compressor according to the average heat exchange amount and the average power of the compressor:
Figure FDA0003525894420000023
according to the relative humidity H of the environmentambAnd relative humidity at the air outlet
Figure FDA0003525894420000024
Calculating the relative humidity change rate:
Figure FDA0003525894420000025
3. the air energy water heater frosting degree prediction method according to claim 2, characterized in that: the first frosting degree value is obtained by substituting the average heat absorption efficiency into the prediction function
Figure FDA0003525894420000026
Is obtained by calculation.
4. The air energy water heater frosting degree prediction method according to claim 3, characterized in that: the second frost formation degree value is obtained by substituting the relative humidity change rate into a prediction function
Figure FDA0003525894420000027
Is obtained by calculation.
5. The air energy water heater frosting degree prediction method according to claim 4, characterized in that: the calculation formula of the offset degree is as follows:
Figure FDA0003525894420000028
in the formula (I);
Figure FDA0003525894420000029
in order to be able to determine the degree of offset,
Figure FDA00035258944200000210
is a first frost degree value alpha (lambda)H) And a second frost formation degree value
Figure FDA0003525894420000031
Average value of (a).
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